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NEW YORK, Aug. 9, 2022 /PRNewswire/ -- The Insight Partners published latest research study on "Predictive Analytics Market Forecast to 2028 - COVID-19 Impact and Global Analysis By Component [Solution (Risk Analytics, Marketing Analytics, Sales Analytics, Customer Analytics, and Others) and Service], Deployment Mode (On-Premise and Cloud-Based), Organization Size [Small and Medium Enterprises (SMEs) and Large Enterprises], and Industry Vertical (IT & Telecom, BFSI, Energy & Utilities, Government and Defence, Retail and e-Commerce, Manufacturing, and Others)", the global predictive analytics market size is projected to grow from $12.49 billion in 2022 to $38.03 billion by 2028; it is expected to grow at a CAGR of 20.4% from 2022 to 2028.

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Predictive Analytics Market Report Scope & Strategic Insights:

Report Coverage

Details

Market Size Value in

US$ 12.49 Billion in 2022

Market Size Value by

US$ 38.03 Billion by 2028

Growth rate

CAGR of 20.4% from 2022 to 2028

Forecast Period

2022-2028

Base Year

2022

No. of Pages

229

No. Tables

142

No. of Charts & Figures

100

Historical data available

Yes

Segments covered

Component, Deployment Mode, Organization Size, and Industry Vertical

Regional scope

North America; Europe; Asia Pacific; Latin America; MEA

Country scope

US, UK, Canada, Germany, France, Italy, Australia, Russia, China, Japan, South Korea, Saudi Arabia, Brazil, Argentina

Report coverage

Revenue forecast, company ranking, competitive landscape, growth factors, and trends


Predictive Analytics Market: Competitive Landscape and Key Developments

IBM Corporation; Microsoft Corporation; Oracle Corporation; SAP SE; Google LLC; SAS Institute Inc.; Salesforce.com, inc.; Amazon Web Services; Hewlett Packard Enterprise Development LP (HPE); and NTT DATA Corporation are among the leading players profiled in this report of the predictive analytics market. Several other essential predictive analytics market players were analyzed for a holistic view of the predictive analytics market and its ecosystem. The report provides detailed predictive analytics market insights, which help the key players strategize their growth.

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In 2022, Microsoft partnered with Teradata, a provider of a multi-cloud platform for enterprise analytics, for the integration of Teradata's Vantage data platform into Microsoft Azure.

In 2021, IBM and Black & Veatch collaborated to assist customers in keeping their assets and equipment working at peak performance and reliability by integrating AI with real-time data analytics.

In 2020, Microsoft partnered with SAS for the extension of their business solutions. As a part of this move, the companies will migrate SAS analytical products and solutions to Microsoft Azure as a preferred cloud provider for SAS cloud.

Increase in Uptake of Predictive Analytics Tools Propels Predictive Analytics Market Growth:

Predictive analytics tools use data to state the probabilities of the possible outcomes in the future. Knowing these probabilities can help users plan many aspects of their business. Predictive analytics is part of a larger set of data analytics; other aspects of data analytics include descriptive analytics, which helps users understand what their data represent; diagnostic analytics, which helps identify the causes of past events; and prescriptive analytics, which provides users with practical advice to make better decisions.

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Prescriptive analytics is similar to predictive analytics. Predictive modeling is the most technical aspect of predictive analytics. Data analysts perform modeling with statistics and other historical data. The model then estimates the likelihood of different outcomes. In e-commerce, predictive modeling tools help analyze customer data. It can predict how many people are likely to buy a certain product. It can also predict the return on investment (ROI) of targeted marketing campaigns. Some software-as-a-service (SaaS) may collect data directly from online stores, such as Amazon Marketplace.

Predictive analytics tools may benefit social media marketing by guiding users to plan the type of content to post; these tools also recommend the best time and day to post. Manufacturing industries need predictive analytics to manage inventory, supply chains, and staff hiring processes. Transport planning and execution are performed more efficiently with predictive analytics tools. For instance, SAP is a leading multinational software company. Its Predictive Analytics was one of the leading data analytics platforms across the world. Now, the software is gradually being integrated into SAP's larger Cloud Analytics platform, which does more business intelligence (BI) than SAP Predictive Analytics. SAP Analytics Cloud, which works on all devices, utilizes artificial intelligence (AI) to Excellerate business planning and forecasting. This analytics platform can be easily extended to businesses of all sizes.

North America is one of the most vital regions for the uptake and growth of new technologies due to favorable government policies that boost innovation, the presence of a substantial industrial base, and high purchasing power, especially in developed countries such as the US and Canada. The industrial sector in the US is a prominent market for security analytics. The country consists of a large number of predictive analytics platform developers. The COVID-19 pandemic enforced companies to adopt the work-from-home culture, increasing the demand for big data and data analytics.

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The pandemic created an enormous challenge for businesses in North America to continue operating despite massive shutdowns of offices and other facilities. Furthermore, the surge in digital traffic presented an opportunity for numerous online frauds, phishing attacks, denial of inventory, and ransomware attacks. Due to the increased risk of cybercrimes, enterprises began adopting advanced predictive analytics-based solutions to detect and manage any abnormal behavior in their networks. Thus, with the growing number of remote working facilities, the need for predictive analytics solutions also increased in North America during the COVID-19 pandemic.

Predictive Analytics Market: Industry Overview

The predictive analytics market is segmented on the basis of component, deployment mode, organization size, industry vertical, and geography. The predictive analytics market analysis, by component, is segmented into solutions and services. The predictive analytics market based on solution is segmented into risk analytics, marketing analytics, sales analytics, customer analytics, and others. The predictive analytics market analysis, by deployment mode, is bifurcated into cloud and on-premises. The predictive analytics market, by organization size, is segmented into large enterprises, and small and medium-sized enterprises (SMEs). The predictive analytics market, by vertical, is segmented into BFSI, manufacturing, retail and e-Commerce, IT and telecom, energy and utilities, government and defense, and others.

In terms of geography, the predictive analytics market is categorized into five regions—North America, Europe, Asia Pacific (APAC), the Middle East & Africa (MEA), and South America (SAM). The predictive analytics market in North America is sub segmented into the US, Canada, and Mexico. Predictive analytics software is increasingly being adopted in multiple organizations, and cloud-based predictive analytics software solutions are gaining significance in SMEs in North America. The highly competitive retail sector in this region is harnessing the potential of this technique to efficiently transform store layouts and enhance the customer experience in various businesses. In a few North American countries, retailers use smart carts with locator beacons, pin-sized cameras installed near shelves, or the store's Wi-Fi network to determine the footfall in the store, provide directions to a specific product section, and check key areas visited by customers. This process can also provide basic demographic data for parameters such as gender and age.

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Wal-Mart, Costco, Kroger, The Home Depot, and Target have their origin in North America. The amount of data generated by stores surges with the rise in sales. Without implementing analytics solutions, it becomes difficult to manage such vast data that include records, behaviors, etc., of all customers. Players such as Euclid Analytics offer spatial analytics platforms for retailers operating offline to help them track customer traffic, loyalty, and other indicators associated with customer visits. Euclid's solutions include preconfigured sensors connected to switches that are linked through a network. These sensors can detect customer calls from devices that have Wi-Fi turned on. Additionally, IBM's Sterling Store Engagement solution provides a real-time view of store inventory, and order data through an intuitive user interface that can be accessed by store owners from counters and mobile devices.

Heavy investments in healthcare sectors, advancements in technologies to help manage a large number of medical records, and the use of Big Data analytics to efficiently predict at-risk patients and create effective treatment plans are further contributing to the growth of the predictive analytics market in North America. Predictive analytics helps assess patterns in a patients' medical records, thereby allowing healthcare professionals to develop effective treatment plans to Excellerate outcomes. During the COVID-19 pandemic, healthcare predictive analytics solutions helped provide hospitals with insightful predictions of the number of hospitalizations for various treatments, which significantly helped them deal with the influx of a large number of patients. However, the high costs of installation and a shortage of skilled workers may limit the use of predictive analytics solutions in, both, the retail and healthcare sectors.

Browse Adjoining Reports:

Procurement Analytics Market Forecast to 2028 - COVID-19 Impact and Global Analysis By Application (Supply Chain Analytics, Risk Analytics, Spend Analytics, Demand Forecasting, Contract Management, Vendor Management); Deployment (Cloud, On Premises); Industry Vertical (Retail and E Commerce, Manufacturing, Government and Defense, Healthcare and Life sciences, Telecom and IT, Energy and Utility, Banking Financial Services and Insurance) and Geography

Risk Analytics Market Forecast to 2028 - Covid-19 Impact and Global Analysis - by Component (Software, Services); Type (Strategic Risk, Financial Risk, Operational Risk, Others); Deployment Mode (Cloud, On-Premise); Industry Vertical (BFSI, IT and Telecom, Manufacturing, Retail and Consumer Goods, Transportation and Logistics, Government and Defense, Energy and Utilities, Healthcare and Life Sciences, Others) and Geography

Preventive Risk Analytics Market Forecast to 2028 - COVID-19 Impact and Global Analysis By Component (Solution, Services); Deployment Type (On-Premise, Cloud); Organization Size (SMEs, Large Enterprises); Type (Strategic Risks, Financial Risks, Operational Risks, Compliance Risks); Industry (BFSI, Energy and Utilities, Government and Defense, Healthcare, Manufacturing, IT and Telecom, Retail, Others) and Geography

Business Analytics Market Forecast to 2028 - Covid-19 Impact and Global Analysis - by Application (Supply Chain Analytics, Spatial Analytics, Workforce Analytics, Marketing Analytics, Behavioral Analytics, Risk And Credit Analytics, and Pricing Analytics); Deployment (On-Premise, Cloud, and Hybrid); End-user (BFSI, IT & Telecom, Manufacturing, Retail, Energy & Power, and Healthcare)

Big Data Analytics Market Forecast to 2028 - COVID-19 Impact and Global Analysis By Component (Software and Services), Analytics Tool (Dashboard and Data Visualization, Data Mining and Warehousing, Self-Service Tool, Reporting, and Others), Application (Customer Analytics, Supply Chain Analytics, Marketing Analytics, Pricing Analytics, Workforce Analytics, and Others), and End Use Industry (Pharmaceutical, Semiconductor, Battery Manufacturing, Electronics, and Others)

Data Analytics Outsourcing Market to 2027 - Global Analysis and Forecasts by Type (Descriptive Data Analytics, Predictive Data Analytics, and Prescriptive Data Analytics); Application (Sales Analytics, Marketing Analytics, Risk & Finance Analytics, and Supply Chain Analytics); and End-user (BFSI, Healthcare, Retail, Manufacturing, Telecom, and Media & Entertainment)

Sales Performance Management Market Forecast to 2028 - Covid-19 Impact and Global Analysis - by Solution (Incentive Compensation Management, Territory Management, Sales Monitoring and Planning, and Sales Analytics), Deployment Type (On-premise, Cloud), Services (Professional Services, Managed Services), End User (BFSI, Manufacturing, Energy and Utility, and Healthcare)

Customer Analytics Market Forecast to 2028 - COVID-19 Impact and Global Analysis By Component (Solution, Services); Deployment Type (On-premises, Cloud); Enterprise Size (Small and Medium-sized Enterprises, Large Enterprises); End-user (BFSI, IT and Telecom, Media and Entertainment, Consumer Goods and Retail, Travel and Hospitality, Others) and Geography

Life Science Analytics Market Forecast to 2028 - COVID-19 Impact and Global Analysis By Type (Predictive Analytics, Prescriptive Analytics, Descriptive Analytics); Component (Services, Software); End User (Pharmaceutical & Biotechnology Companies, Research Centers, Medical Device Companies, Third-Party Administrators)

About Us:

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Tue, 09 Aug 2022 00:56:00 -0500 text/html https://www.tmcnet.com/usubmit/-predictive-analytics-market-worth-38-billion-2028-204-/2022/08/09/9652572.htm
Killexams : IBM board probes claims of fudged sales figures that led to big bonuses for execs

Exclusive IBM's board of directors has started an investigation into claims that its sales numbers were manipulated, leading to executives securing big bonuses. If the board fails to take any action, it may face a lawsuit to claw back millions of dollars from top staff.

In late March, just days before IBM was sued for securities fraud, the IT giant's board received a demand letter from attorneys representing shareholders.

The letter, according to sources familiar with the matter, asked the board to investigate allegations that later surfaced in the securities lawsuit: that the company, under former CEO Ginny Rometty and current CEO Arvind Krishna, deceived shareholders by unlawfully manipulating mainframe revenues in a way that misled investors and inflated executive bonuses.

Our sources tell us that if the IBM board fails to deal with the allegations, a derivatives lawsuit is expected to follow in which the plaintiffs will try to claw back millions of dollars worth of bonus payments made to executives.

A shareholder derivatives lawsuit is brought by shareholders on behalf of a corporation. It is filed against corporate leaders – company board members, officers, or others – alleged to have neglected their fiduciary duty.

We're told IBM's board has engaged a law firm to investigate the fraud allegations. If the board takes no action to address the supposed fraud, the plaintiffs should then be able file a derivatives claim in the company's name.

Assuming the court finds sufficient merit in the plaintiffs' claim to allow a derivatives case, and if the plaintiffs prevail, most of any damage award would belong to the company – which would benefit shareholders, but would not go to them directly.

A legal scholar who spoke with The Register on background for lack of familiarity with this specific case said it's unusual for shareholders to present the board with a demand letter because unless you can show the board is conflicted or acting in self-interest, shareholders generally aren't allowed to initiate a derivatives case.

IBM did not respond to two requests to confirm or deny the existence of the demand letter.

Buried on page 38 of a 10-Q filing with the SEC last week, however, Big Blue disclosed it had received and responded to such a missive.

"On March 25, 2022, the Board of Directors received a shareholder demand letter making similar allegations [to the securities class-action lawsuit] and demanding that the company's Board of Directors take action to assert the company's rights," IBM noted in the submission, a detail that so far has gone unreported.

"A special committee of independent directors has been formed to investigate the issues raised in the letter."

The securities fraud claim [PDF] against IBM was filed on April 5 in New York, on behalf of the June E. Adams Irrevocable Trust. It names as defendants not only IBM, but current and former corporate leaders including Rometty, former CFO Martin J. Schroeter (now CEO of IBM spin-off Kyndryl), current CFO James J. Kavanaugh, and current CEO Arvind Krishna.

Since the lawsuit was initially filed by law firm Milberg Coleman Bryson Phillips Grossman, LLC, it has been joined by at least five other law firms representing other IBM shareholders. In June, the court recognized Iron Workers Local 580 Joint Funds as the lead plaintiff.

The complaint contends that IBM between April 4, 2017 and October 20, 2021 "improperly and in violation of Generally Accepted Accounting Principles ('GAAP') embarked on a fraudulent scheme to shift billions of dollars in revenues from its mainframe line of business to its Strategic Imperatives and CAMSS line of business."

... a fraudulent scheme to shift billions of dollars in revenues from its mainframe line of business to its Strategic Imperatives and CAMSS line of business

CAMSS is an abbreviation for Cloud, Analytics, Mobile, Security and Systems, business segments that were designated as strategic imperatives by IBM's leadership. The complaint argues that IBM instituted a bonus scheme that rewarded execs and encouraged IBM salespeople for the sale of CAMSS products. As a result, revenue arising from mainframe sales got reclassified as CAMSS sales, which boosted bonuses even as it misled investors – by giving shareholders an untrue picture of the IT giant's sales performance – it is claimed.

The Register spoke with two former IBM sales employees who were unaffiliated with the litigation and had between them more than forty years of experience with Big Blue. They described manipulative sales reporting – not all of which is necessarily unlawful – as a common practice, not only at IBM but at other large enterprise software firms.

"Think of it as, like, the worst kept secret," said one, who described one way IBM salespeople adjust sales figures to their own advantage. "It all starts with the CRM system, the customer relationship management system. IBM uses SugarCRM, but they make it very easy when you get a deal.

"You go through a bunch of checkboxes and you check off which categories pertain to this deal and how much of it is services, how much of it is hardware, how much in particular is cloud-based or analytics. And this is the big thing with the CAMSS, right? To check off all the boxes pertaining to CAMSS and then you allocate a percent to that."

That is to say, you only have to assign a small part of the sales deal to CAMSS to record it as a CAMSS win.

The other described various dubious directives that salespeople had to comply with, which steered salespeople toward meeting management goals and discouraged rocking the boat.

For example, this individual described IBM Z Linux part number manipulation. "A very common practice was to create a duplicate part number," this former IBMer explained. "It's a unique part number but there's no difference in product or delivery."

That makes no difference to the customer, we were told, but the way products got categorized affected sales staff and executive compensation.

The issue before the court in New York is whether flexible accounting of this sort, to the extent it can be documented, violated the law or IBM misled investors. If IBM's board finds no corrective actions are necessary, a successful derivatives complaint could return millions paid in unwarranted executive bonuses to company coffers. ®

Editor's note: This article was updated to clarify that the demand letter was sent in late March, just before the securities lawsuit was filed in April, as confirmed by the 10-Q filing.

Tue, 02 Aug 2022 07:27:00 -0500 en text/html https://www.theregister.com/2022/08/01/exclusive_ibm_board_of_directors/
Killexams : Product Analytics Market Growing at a CAGR 21.3% | Key Player Google, IBM, Oracle, Adobe, Salesforce
Product Analytics Market Growing at a CAGR 21.3% | Key Player Google, IBM, Oracle, Adobe, Salesforce

“Google (US), IBM (US), Oracle (US), Adobe (US), Salesforce (US), Medallia (US), Veritone (US), LatentView Analytics (US), Mixpanel (US), Amplitude (US), Pendo (US), Kissmetrics (US), Gainsight (US), UserIQ (US), Copper CRM (US), Countly (UK), Heap (US), Plytix (Denmark), Risk Edge Solutions (India), Woopra (US), Piwik PRO (Poland), Smartlook (Czech Republic).”

Product Analytics Market by Component, Mode (Tracking Data, Analyzing Data), End User (Sales & Marketing Professionals, Consumer Engagement), Deployment Mode, Organization Size, Vertical, & Region – Global Forecast to 2026

The global Product Analytics Market size to grow from USD 9.6 billion in 2021 to USD 25.3 billion by 2026, at a Compound Annual Growth Rate (CAGR) of 21.3% during the forecast period. Various factors such as growing need to Excellerate customer behavior management to deliver personalized recommendation of products, increasing demand for advanced analytics tools to ensure market competitiveness, and growing adoption of big data and other related technologies are expected to drive the adoption of product analytics solutions and services.

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COVID-19’s global impact has shown that interconnectedness plays an important role in international cooperation. As a result, several governments started rushing toward identifying, evaluating, and procuring reliable solutions powered by AI. Advanced analytics and AI are invaluable to organizations managing uncertainty in real-time, but most predictive models rely on historical patterns. The use of advanced analytics and AI has accelerated in the COVID-19 pandemic period. This has helped organizations engage customers through digital channels, manage fragile and complex supply chains, and support workers through disruption to their work and lives. At the same time, leaders have identified a major weakness in their analytics strategy: the reliance on historical data for algorithmic models. From customer behavior to supply and demand patterns, historical patterns, and the assumption of continuity are empowering the predictive models. Technology and service providers have been facing significant disruption to their businesses from COVID-19. It has become important for product managers to evaluate the critical ways in which the pandemic affects their teams so they can mitigate the negative effects and plan for recovery. Product managers serve at the intersection of different functions. They glue together product, engineering, and design. However, as the COVID-19 has been changing the product landscape, these relationships have gone remote and that is not the only problem teams are tackling. As many of the world’s major economies work to address the second wave of COVID-19, it would be an appropriate time to look at how the pandemic has changed product management. Hence, the COVID-19 pandemic has disrupted the global financial markets and has created panic, uncertainty, and distraction in the operations of global corporations.

Scope of the Report

Report Attributes

Details

Market size available for years

2020–2026

Base year considered

2020

Forecast period

2021–2026

Product Analytics Market Size in 2026

USD 25.3 billion

Growth Rate

21.3%

Segments covered

Component, Mode (Tracking Data, Analyzing Data), End User (Sales & Marketing Professionals, Consumer Engagement), Deployment Mode, Organization Size, Vertical, & Region

Geographies covered

North America, Europe, APAC, MEA, and Latin America

Companies covered

Google (US), IBM (US), Oracle (US), Adobe (US), Salesforce (US), Medallia (US), Veritone (US), LatentView Analytics (US), Mixpanel (US), Amplitude (US), Pendo (US), Kissmetrics (US), Gainsight (US), UserIQ (US), Copper CRM (US), Countly (UK), Heap (US), Plytix (Denmark), Risk Edge Solutions (India), Woopra (US), Piwik PRO (Poland), Smartlook (Czech Republic), LogRocket (US), Auryc (US), Quantum Metric (US), cux.io (Germany), Refiner (France), InnerTrends (England), GrowthSimple (US), OmniPanel (US), and Productlift (Canada)

 

The services segment to hold higher CAGR during the forecast period

Based on components, the product analytics market is segmented into solutions and services. The services segment has been further divided into professional and managed services. These services play a vital role in the functioning of product analytics solutions, as well as ensure faster and smoother implementation that maximizes the value of the enterprise investments. The growing adoption of product analytics solutions is expected to boost the adoption of professional and managed services. Professional service providers have deep knowledge related to the products and enable customers to focus on the core business, while MSPs help customers Excellerate business operations and cut expenses.

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As per Heap, product analytics is a robust set of tools that allow product managers and product teams to assess the performance of the digital experiences they build. Product analytics provides critical information to optimize performance, diagnose problems, and correlate a customer activity with a long-term value. The product analytics market comprises product analytics services and solutions embedded with advanced technologies, such as Artificial Intelligence (AI) and Machine Learning (ML) and big data analytics.

Some of the key players operating in the product analytics market include Google (US), IBM (US), Oracle (US), Adobe (US), Salesforce (US), Medallia (US), Veritone (US), LatentView Analytics (US), Mixpanel (US), Amplitude (US), Pendo (US), Kissmetrics (US), Gainsight (US), UserIQ (US), Copper CRM (US), Countly (UK), Heap (US), Plytix (Denmark), Risk Edge Solutions (India), Woopra (US), Piwik PRO (Poland), Smartlook (Czech Republic), LogRocket (US), Auryc (US), Quantum Metric (US), cux.io (Germany), Refiner (France), InnerTrends (England), GrowthSimple (US), OmniPanel (US), and Productlift (Canada). These product analytics vendors have adopted various organic and inorganic strategies to sustain their positions and increase their market shares in the global product analytics market.

Oracle was incorporated in 1977 and is headquartered in California, US. The company is a global leader in delivering a broad spectrum of products, solutions, and services designed to meet the requirements of corporate IT environments, such as platforms, applications, and infrastructure. Oracle’s customers include businesses of various sizes, government agencies, educational institutions, and resellers. The company, directly and indirectly, sells its products and services through a worldwide sales force and Oracle Partner Network, respectively. It specializes in developing, manufacturing, and marketing hardware systems, databases, middleware software, and application software. It provides SaaS offerings that are designed to incorporate emerging technologies, such as IoT, AI, ML, and blockchain. It operates through three business segments: cloud and license, hardware, and services, in more than 175 countries and caters to 4,30,000 customers across banking, telecommunications, engineering and construction, financial services, healthcare, insurance, public sector, retail, and utilities verticals. Oracle offers Oracle Analytics Cloud, Oracle Analytics Server, Oracle fusion analytics, and Oracle Essbase in the product analytics market.

IBM is a multinational technology and consulting corporation founded in the year 1911 and is headquartered in New York, US. It offers infrastructure, hosting, and consulting services and operates through five major business segments: cloud and cognitive software, global business services, global technology services, systems, and global financing. IBM’s product portfolio comprises various segments, such as IoT, analytics, security, mobile, social, and Watson. It caters to various industry verticals that include aerospace and defense, education, healthcare, oil and gas, automotive, electronics, insurance, retail and consumer products, banking and finance, energy and utilities, life sciences, telecommunications, media and entertainment, chemicals, government, manufacturing, travel and transportation, construction, and metals and mining. The company has a robust presence in the Americas, Europe, the MEA, and Asia Pacific and clients in more than 175 countries. In the product analytics market, IBM offers IBM Cognos Analytics, IBM Planning Analytics, IBM Spectrum control, IBM Streaming Analytics, and IBM QRadar User Behavior Analytics (UBA).

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Killexams : Healthcare & Medical Analytics Market Size and Growth 2022 Analysis Report by Distribution Status, Players, Market Analysis and Forecast to 2028

The MarketWatch News Department was not involved in the creation of this content.

Aug 08, 2022 (The Expresswire) -- "Final Report will add the analysis of the impact of COVID-19 on this industry."

Global “Healthcare and Medical Analytics Market”2022 research report by market size of different segments and countries in exact years and to forecast the values to the coming years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within each of the regions and countries involved in the study. Furthermore, the report also caters the detailed information about the crucial aspects such as driving factors and challenges which will define the future growth of the market. Additionally, the Healthcare and Medical Analytics market report shall also incorporate available opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and key players.

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Market Analysis and Insights: Global Healthcare and Medical Analytics Market

The global Healthcare and Medical Analytics market size is projected to reach USD million by 2028, from USD million in 2021, at a CAGR of during 2022-2028.
Fully considering the economic change by this health crisis, Prescriptive accounting for of the Healthcare and Medical Analytics global market in 2021, is projected to value USD million by 2028, growing at a revised CAGR from 2022 to 2028. While Hospital segment is altered to CAGR throughout this forecast period.
China Healthcare and Medical Analytics market size is valued at USD million in 2021, while the North America and Europe Healthcare and Medical Analytics are USD million and USD million, severally. The proportion of the North America in 2021, while China and Europe are and respectively, and it is predicted that China proportion will reach in 2028, trailing a CAGR of through the analysis period 2022-2028. Japan, South Korea, and Southeast Asia are noteworthy markets in Asia, with CAGR respectively for the next 6-year period. As for the Europe Healthcare and Medical Analytics landscape, Germany is projected to reach USD million by 2028 trailing a CAGR of over the forecast period 2022-2028.

The major players covered in the Healthcare and Medical Analytics market report are:

● IBM ● OptumHealth ● Oracle ● Verisk Analytics ● Elsevier ● MedeAnalytics ● McKesson ● Truven Health ● Allscripts ● Cerner ● SAS

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Global Healthcare and Medical Analytics Market: Drivers and Restrains

The research report has incorporated the analysis of different factors that augment the market’s growth. It constitutes trends, restraints, and drivers that transform the market in either a positive or negative manner. This section also provides the scope of different segments and applications that can potentially influence the market in the future. The detailed information is based on current trends and historic milestones. This section also provides an analysis of the volume of production about the global market and about each type from 2017 to 2028. This section mentions the volume of production by region from 2017 to 2028. Pricing analysis is included in the report according to each type from the year 2017 to 2028, manufacturer from 2017 to 2022, region from 2017 to 2022, and global price from 2017 to 2028.

A thorough evaluation of the restrains included in the report portrays the contrast to drivers and gives room for strategic planning. Factors that overshadow the market growth are pivotal as they can be understood to devise different bends for getting hold of the lucrative opportunities that are present in the ever-growing market. Additionally, insights into market expert’s opinions have been taken to understand the market better.

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Global Healthcare and Medical Analytics Market: Segment Analysis

The research report includes specific segments by region (country), by manufacturers, by Type and by Application. Each type provides information about the production during the forecast period of 2017 to 2028. By Application segment also provides consumption during the forecast period of 2017 to 2028. Understanding the segments helps in identifying the importance of different factors that aid the market growth.

Segment by Type

● Prescriptive ● Descriptive ● Predictive

Segment by Application

● Hospital ● Clinic ● Other

Healthcare and Medical Analytics Market Key Points:

● Characterize, portray and Forecast Healthcare and Medical Analytics item market by product type, application, manufactures and geographical regions. ● deliver venture outside climate investigation. ● deliver systems to organization to manage the effect of COVID-19. ● deliver market dynamic examination, including market driving variables, market improvement requirements. ● deliver market passage system examination to new players or players who are prepared to enter the market, including market section definition, client investigation, conveyance model, item informing and situating, and cost procedure investigation. ● Stay aware of worldwide market drifts and deliver examination of the effect of the COVID-19 scourge on significant locales of the world. ● Break down the market chances of partners and furnish market pioneers with subtleties of the cutthroat scene.

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Geographical Segmentation:

Geographically, this report is segmented into several key regions, with sales, revenue, market share, and Healthcare and Medical Analytics market growth rate in these regions, from 2015 to 2028, covering

● North America (United States, Canada and Mexico) ● Europe (Germany, UK, France, Italy, Russia and Turkey etc.) ● Asia-Pacific (China, Japan, Korea, India, Australia, Indonesia, Thailand, Philippines, Malaysia, and Vietnam) ● South America (Brazil etc.) ● Middle East and Africa (Egypt and GCC Countries)

Some of the key questions answered in this report:

● Who are the worldwide key Players of the Healthcare and Medical Analytics Industry? ● How the opposition goes in what was in store connected with Healthcare and Medical Analytics? ● Which is the most driving country in the Healthcare and Medical Analytics industry? ● What are the Healthcare and Medical Analytics market valuable open doors and dangers looked by the manufactures in the worldwide Healthcare and Medical Analytics Industry? ● Which application/end-client or item type might look for gradual development possibilities? What is the portion of the overall industry of each kind and application? ● What centered approach and imperatives are holding the Healthcare and Medical Analytics market? ● What are the various deals, promoting, and dissemination diverts in the worldwide business? ● What are the key market patterns influencing the development of the Healthcare and Medical Analytics market? ● Financial effect on the Healthcare and Medical Analytics business and improvement pattern of the Healthcare and Medical Analytics business?

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Detailed TOC of Global Healthcare and Medical Analytics Market Research Report 2022

1 Healthcare and Medical Analytics Market Overview

1.1 Product Overview and Scope

1.2 Segment by Type

1.2.1 Global Market Size Growth Rate Analysis by Type 2022 VS 2028

1.3 Healthcare and Medical Analytics Segment by Application

1.3.1 Global Consumption Comparison by Application: 2022 VS 2028

1.4 Global Market Growth Prospects

1.4.1 Global Revenue Estimates and Forecasts (2017-2028)

1.4.2 Global Production Capacity Estimates and Forecasts (2017-2028)

1.4.3 Global Production Estimates and Forecasts (2017-2028)

1.5 Global Market Size by Region

1.5.1 Global Market Size Estimates and Forecasts by Region: 2017 VS 2021 VS 2028

1.5.2 North America Healthcare and Medical Analytics Estimates and Forecasts (2017-2028)

1.5.3 Europe Estimates and Forecasts (2017-2028)

1.5.4 China Estimates and Forecasts (2017-2028)

1.5.5 Japan Estimates and Forecasts (2017-2028)

2 Healthcare and Medical Analytics Market Competition by Manufacturers

2.1 Global Production Capacity Market Share by Manufacturers (2017-2022)

2.2 Global Revenue Market Share by Manufacturers (2017-2022)

2.3 Market Share by Company Type (Tier 1, Tier 2 and Tier 3)

2.4 Global Average Price by Manufacturers (2017-2022)

2.5 Manufacturers Production Sites, Area Served, Product Types

2.6 Market Competitive Situation and Trends

2.6.1 Market Concentration Rate

2.6.2 Global 5 and 10 Largest Healthcare and Medical Analytics Players Market Share by Revenue

2.6.3 Mergers and Acquisitions, Expansion

3 Healthcare and Medical Analytics Production Capacity by Region

3.1 Global Production Capacity of Healthcare and Medical Analytics Market Share by Region (2017-2022)

3.2 Global Revenue Market Share by Region (2017-2022)

3.3 Global Production Capacity, Revenue, Price and Gross Margin (2017-2022)

3.4 North America Production

3.4.1 North America Production Growth Rate (2017-2022)

3.4.2 North America Production Capacity, Revenue, Price and Gross Margin (2017-2022)

3.5 Europe Production

3.5.1 Europe Production Growth Rate (2017-2022)

3.5.2 Europe Production Capacity, Revenue, Price and Gross Margin (2017-2022)

3.6 China Production

3.6.1 China Production Growth Rate (2017-2022)

3.6.2 China Production Capacity, Revenue, Price and Gross Margin (2017-2022)

3.7 Japan Production

3.7.1 Japan Production Growth Rate (2017-2022)

3.7.2 Japan Production Capacity, Revenue, Price and Gross Margin (2017-2022)

4 Global Healthcare and Medical Analytics Market Consumption by Region

4.1 Global Consumption by Region

4.1.1 Global Consumption by Region

4.1.2 Global Consumption Market Share by Region

4.2 North America

4.2.1 North America Consumption by Country

4.2.2 United States

4.2.3 Canada

4.3 Europe

4.3.1 Europe Consumption by Country

4.3.2 Germany

4.3.3 France

4.3.4 U.K.

4.3.5 Italy

4.3.6 Russia

4.4 Asia Pacific

4.4.1 Asia Pacific Consumption by Region

4.4.2 China

4.4.3 Japan

4.4.4 South Korea

4.4.5 China Taiwan

4.4.6 Southeast Asia

4.4.7 India

4.4.8 Australia

4.5 Latin America

4.5.1 Latin America Consumption by Country

4.5.2 Mexico

4.5.3 Brazil

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5 Healthcare and Medical Analytics Market Segment by Type

5.1 Global Production Market Share by Type (2017-2022)

5.2 Global Revenue Market Share by Type (2017-2022)

5.3 Global Price by Type (2017-2022)

6 Healthcare and Medical Analytics Market Segment by Application

6.1 Global Production Market Share by Application (2017-2022)

6.2 Global Revenue Market Share by Application (2017-2022)

6.3 Global Price by Application (2017-2022)

7 Healthcare and Medical Analytics Market Key Companies Profiled

7.1 Manufacture 1

7.1.1 Manufacture 1 Corporation Information

7.1.2 Manufacture 1 Product Portfolio

7.1.3 Manufacture 1 Production Capacity, Revenue, Price and Gross Margin (2017-2022)

7.1.4 Manufacture 1 Main Business and Markets Served

7.1.5 Manufacture 1 exact Developments/Updates

7.2 Manufacture 2

7.2.1 Manufacture 2 Corporation Information

7.2.2 Manufacture 2 Product Portfolio

7.2.3 Manufacture 2 Production Capacity, Revenue, Price and Gross Margin (2017-2022)

7.2.4 Manufacture 2 Main Business and Markets Served

7.2.5 Manufacture 2 exact Developments/Updates

7.3 Manufacture 3

7.3.1 Manufacture 3 Corporation Information

7.3.2 Manufacture 3 Product Portfolio

7.3.3 Manufacture 3 Production Capacity, Revenue, Price and Gross Margin (2017-2022)

7.3.4 Manufacture 3 Main Business and Markets Served

7.3.5 Manufacture 3 exact Developments/Updates

8 Healthcare and Medical Analytics Manufacturing Cost Analysis

8.1 Key Raw Materials Analysis

8.1.1 Key Raw Materials

8.1.2 Key Suppliers of Raw Materials

8.2 Proportion of Manufacturing Cost Structure

8.3 Manufacturing Process Analysis of Healthcare and Medical Analytics

8.4 Healthcare and Medical Analytics Industrial Chain Analysis

9 Marketing Channel, Distributors and Customers

9.1 Marketing Channel

9.2 Healthcare and Medical Analytics Distributors List

9.3 Healthcare and Medical Analytics Customers

10 Market Dynamics

10.1 Healthcare and Medical Analytics Industry Trends

10.2 Healthcare and Medical Analytics Market Drivers

10.3 Healthcare and Medical Analytics Market Challenges

10.4 Healthcare and Medical Analytics Market Restraints

11 Production and Supply Forecast

11.1 Global Forecasted Production of Healthcare and Medical Analytics by Region (2023-2028)

11.2 North America Healthcare and Medical Analytics Production, Revenue Forecast (2023-2028)

11.3 Europe Healthcare and Medical Analytics Production, Revenue Forecast (2023-2028)

11.4 China Healthcare and Medical Analytics Production, Revenue Forecast (2023-2028)

11.5 Japan Healthcare and Medical Analytics Production, Revenue Forecast (2023-2028)

12 Consumption and Demand Forecast

12.1 Global Forecasted Demand Analysis of Healthcare and Medical Analytics

12.2 North America Forecasted Consumption of Healthcare and Medical Analytics by Country

12.3 Europe Market Forecasted Consumption of Healthcare and Medical Analytics by Country

12.4 Asia Pacific Market Forecasted Consumption of Healthcare and Medical Analytics by Region

12.5 Latin America Forecasted Consumption of Healthcare and Medical Analytics by Country

13 Forecast by Type and by Application (2023-2028)

13.1 Global Production, Revenue and Price Forecast by Type (2023-2028)

13.1.1 Global Forecasted Production of Healthcare and Medical Analytics by Type (2023-2028)

13.1.2 Global Forecasted Revenue of Healthcare and Medical Analytics by Type (2023-2028)

13.1.3 Global Forecasted Price of Healthcare and Medical Analytics by Type (2023-2028)

13.2 Global Forecasted Consumption of Healthcare and Medical Analytics by Application (2023-2028)

13.2.1 Global Forecasted Production of Healthcare and Medical Analytics by Application (2023-2028)

13.2.2 Global Forecasted Revenue of Healthcare and Medical Analytics by Application (2023-2028)

13.2.3 Global Forecasted Price of Healthcare and Medical Analytics by Application (2023-2028)

14 Research Finding and Conclusion

15 Methodology and Data Source

15.1 Methodology/Research Approach

15.1.1 Research Programs/Design

15.1.2 Market Size Estimation

15.1.3 Market Breakdown and Data Triangulation

15.2 Data Source

15.2.1 Secondary Sources

15.2.2 Primary Sources

15.3 Author List

15.4 Disclaimer

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Killexams : Healthcare Analytics Market Top Key Players Analysis | IBM, Elsevier, McKesson Corporation, Oracle and Medeanalytics, Inc.

Market Data Centre

Healthcare Analytics Market 2022 - 2030 - Vendor Assessment (Company Profiles, Market Positioning, Strategies, exact Developments, Capabilities & Product Offerings / Mapping), Technology Assessment (Developments & Economic Impact), Partner & Customer Ecosystem (Product Services, Proposition & Key Features) Competitive Index & Regional FootPrint by MDC Research

Pune, Aug. 05, 2022 (GLOBE NEWSWIRE) -- Healthcare Analytics Market by Vendor Assessment, Technology Assessment, Partner & Customer Ecosystem, type/solution, service, organization size, end-use verticals, and Region – Global Healthcare Analytics Market Forecast to 2030, published by Market Data Centre, The Healthcare Analytics Market is projected to grow at a solid pace during the forecast period. The presence of key players in the ecosystem has led to a compsetitive and diverse market. The advancement of digital transformation initiatives across multiple industries is expected to drive the worldwide Healthcare Analytics Market during the study period.

This COVID-19 analysis of the report includes COVID-19 IMPACT on the production and, demand, supply chain. This report provides a detailed historical analysis of the global Healthcare Analytics Market from 2017-to 2021 and provides extensive market forecasts from 2022-to 2030 by region/country and subsectors. The report covers the revenue, sales volume, price, historical growth, and future perspectives in the Healthcare Analytics Market.

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Regional Analysis:

On the basis of Geography, the Global Healthcare Analytics Market is segmented into North America, Europe, Asia-Pacific, and the Rest of the World (RoW). North America is expected to hold a considerable share in the global Healthcare Analytics Market. Due to increasing investment for research and development process and adoption of solutions in the region whereas Asia-Pacific is expected to grow at a faster pace during the forecasted period.

The growing number of Healthcare Analytics Market players across regions is expected to drive market growth further. Moreover, increasing investments by prominent vendors in product capabilities and business expansion is expected to fuel the market during the study period. Many market players are finding lucrative opportunities in emerging economies like China and India, where the large populations are coupled with new innovations in numerous industries.

List of Companies Covered in this Report are:

  • Verisk Analytics, Inc.

  • Elsevier

  • Medeanalytics, Inc.

  • Truven Health Analytics, Inc.

  • Allscripts Healthcare Solutions, Inc.

  • Cerner Corporation

  • McKesson Corporation

  • Optum, Inc.

  • IBM

  • Oracle

  • SAS Institute, Inc.

  • IQVIA

  • Among others.

Market Assessment

Technology Assessment

Vendor Assessment

Market Dynamics

Key Innovations

Product Breadth and Capabilities

Trends and Challenges

Adoption Trends and Challenges

Technology Architecture

Drivers and Restrains

Deployment Trends

Competitive Differentiation

Regional and Industry Dynamics

Industry Applications

Price/Performance Analysis

Regulations and Compliance

Latest Upgrardation

Strategy and Vision


In deep ToC includes

233 – Tables

45  – Figures

300 – Pages

Get Table Of Content of the Report @ https://www.marketdatacentre.com/toc/13537

                                                                                                                                  

Table of Contents                                                                           

1.      INTRODUCTION
1.1.   Market Definition
1.2.   Market Segmentation
1.3.   Geographic Scope
1.4.   Years Considered: Historical Years – 2017 & 2020; Base Year – 2021; Forecast Years – 2022 to 2030
1.5.   Currency Used
2.      RESEARCH METHODOLOGY
2.1.   Research Framework
2.2.   Data Collection Technique
2.3.   Data Sources
2.3.1.      Secondary Sources
2.3.2.      Primary Sources
2.4.   Market Estimation Methodology
2.4.1.      Bottom-Up Approach
2.4.2.      Top-Down Approach
2.5.   Data Validation and Triangulation
2.5.1.      Market Forecast Model
2.5.2.      Limitations/Assumptions of the Study
3.      ABSTRACT OF THE STUDY
4.      MARKET DYNAMICS ASSESSMENT
4.1.   Overview
4.2.   Drivers
4.3.   Barriers/Challenges
4.4.   Opportunities
5.      VALUE CHAIN ANALYSIS
6.      PRICING ANALYSIS
7.      SUPPLY CHAIN ANALYSIS
8.      MARKET SIZING AND FORECASTING
8.1.   Global - Healthcare Analytics Market Analysis & Forecast, By Region
8.2.   Global - Healthcare Analytics Market Analysis & Forecast, By Segment
8.2.1.      North America Healthcare Analytics Market, By Segment
8.2.2.      North America Healthcare Analytics Market, By Country
8.2.2.1.            US
8.2.2.2.            Canada
8.2.3.      Europe Healthcare Analytics Market, By Segment
8.2.4.      Europe Healthcare Analytics Market, By Country
8.2.4.1.            Germany
8.2.4.2.            UK
8.2.4.3.            France
8.2.4.4.            Rest of Europe (ROE)
8.2.5.      Asia Pacific Healthcare Analytics Market, By Segment
8.2.6.      Asia Pacific Healthcare Analytics Market, By Country
8.2.6.1.            China
8.2.6.2.            Japan
8.2.6.3.            India
8.2.6.4.            Rest of Asia Pacific (RoAPAC)
8.2.7.      Rest of the World (ROW) Healthcare Analytics Market, By Segment
8.2.8.      Rest of the World (ROW) Healthcare Analytics Market, By Country
8.2.8.1.            Latin America
8.2.8.2.            Middle East & Africa

ToC can be modified as per clients' business requirements*

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Key Questions Answered in This Report:

  • How does our product and services portfolio compare to leading competitors?

  • What are the key developments in customer demand given the changing economy?

  • What are the new pricing and consumption models in the marketplace and how should we align our portfolio?

  • What are the key decision drivers for services buyers?

  • How can we accelerate our bidding process?

  • What is the potential of the Healthcare Analytics Market?

  • What is the impact of COVID-19 on the global Healthcare Analytics Market?

  • What are the top strategies that companies adopting in Healthcare Analytics Market?

  • What are the challenges faced by SME’s and prominent vendors in Healthcare Analytics Market?

  • Which region has the highest investments in Healthcare Analytics Market?

  • What are the latest research and activities in Healthcare Analytics Market?

  • Who are the prominent players in Healthcare Analytics Market?

  • What is the potential of the Healthcare Analytics Market?

Vendor Assessment

Vendor assessment includes a deep analysis of how vendors are addressing  the demand in the Healthcare Analytics Market. The MDC CompetetiveScape model was used to assess qualitative and quantitative insights in this assessment. MDC's CompetitiveScape is a structured method for identifying key players and outlining their strengths, relevant characteristics, and outreach strategy. MDC's CompetitiveScape allows organizations to analyze the environmental factors that influence their business, set goals, and identify new marketing strategies. MDC Research analysts conduct a thorough investigation of vendors' solutions, services, programs, marketing, organization size, geographic focus, type of organization and strategies.

Technology Assessment

Technology dramatically impacts business productivity, growth and efficiency.Technologies can help companies develop competitive advantages, but choosing them can be one of the most demanding decisions for businesses. Technology assessment helps organizations to understand their current situation with respect to technology and offer a roadmap where they might want to go and scale their business. A well-defined process to assess and select technology solutions can help organizations reduce risk, achieve objectives, identify the problem, and solve it in the right way. Technology assessment can help businesses identify which technologies to invest in, meet industry standards, compete against competitors.

Business Ecosystem Analysis

Advancements in technology and digitalization have changed the way companies do business; the concept of a business ecosystem helps businesses understand how to thrive in this changing environment. Business ecosystems provide organizations with opportunities to integrate technology in their daily business operations and Excellerate research and business competency. The business ecosystem includes a network of interlinked companies that compete  and cooperate to increase sales, Excellerate profitability, and succeed in their markets. An ecosystem analysis is a business network analysis that includes the relationships amongst suppliers, distributors, and end-users in delivering a product or service.

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Regions and Countries Covered

North America (US, Canada), Europe (Germany, UK, France, Spain, Italy, and Rest of Europe), Asia-Pacific (Japan, China, Australia, India, Rest of Asia-Pacific), and Rest of the World (RoW).

Report Coverage

Healthcare Analytics Market Dynamics, Covid-19 Impact on the Healthcare Analytics Market, Vendor Profiles, Vendor Assessment, Strategies, Technology Assessment, Product Mapping, Industry Outlook, Economic Analysis, Segmental Analysis, Healthcare Analytics Market Sizing, Analysis Tables.

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About MDC:

Market Data Centre (Subsidiary of Yellow Bricks Global Services Private Limited)

Market Data Centre offers complete solutions for market research reports in miscellaneous businesses.These decisions making process depend on wider and systematic extremely important information created through extensive study as well as the most exact trends going on in the industry.The company also attempts to offer much better customer-friendly services and appropriate business information to achieve our clients’ ideas.

CONTACT: Market Data Centre (Subsidiary of Yellow Bricks Global Services Private Limited) Office 808, Amar Business Park, S.No. 105, Baner Road, Pune 411045, India Email: sales@marketdatacentre.com Phone: +1-916-848-6986 (US) Website: https://www.marketdatacentre.com/
Fri, 05 Aug 2022 01:19:00 -0500 en-US text/html https://finance.yahoo.com/news/healthcare-analytics-market-top-key-131900598.html
Killexams : Diabetes in the Digital Age

Illustration: Jordon Cheung

A day in the life of a diabetes patient is an exercise in micromanagement. Blood sugar metering. Insulin injections. Meal plans. Exercise diaries. Logs filled with heart rate, blood pressure, and even pain measurements. It’s a lot to keep up with, for doctors as well as patients, but it’s also absolutely crucial. Proper diabetes management is key to a patient’s quality of life and to keeping blood sugar levels in line.

For the 387 million people in the world living with diabetes, this is reality. But in many ways, their experience is not so different from that of  the rest of us, who struggle to stay on top of our health and to effectively communicate to our health providers what’s going on with our bodies. In America, about half of all adults suffer from chronic illnesses, and according to a 2013 Pew Research Center study, among those who do track their health, about half of them keep up with progress  “in their heads.”

Mobile app development, fueled by cloud technology, is going to change these habits dramatically. Already, wearable technologies, such as Fitbit, and food trackers, are helping us log our meals, movement, and weight. These seemingly simple devices have transformative powers. They have been proved to keep people motivated to exercise and lose weight. According to the Pew study, tracking also leads 40 percent of trackers to ask a doctor new questions or to get a second opinion.

But digital tools are pushing healthcare to the cusp of a much larger transformation than that. Apps designed to Excellerate our health are going far beyond simple one-feature tracking and peer support. The new apps are capable of sharing, analyzing, and visualizing real-time health data across different platforms and populations, inspiring a host of possibilities.

These “wellness 2.0” apps will provide ways for people to take control of their own health and promise to transform our healthcare system by giving doctors valuable new insights and researchers clues to the prevention and management of chronic illness.

“The opportunity to put powerful but simple tools in the hands of an individual...as they try to manage their condition is so compelling,” says Sean M. Hogan, VP and General Manager of IBM Healthcare. “It is absolutely going to change the face of medicine.”

Robin Hrassnigg was diagnosed with Type 1 diabetes in 1991. He filled out the usual logs and diaries until he created Diabetizer, a Web-based diabetes-management portal that will launch this fall as a mobile app for iOS and Android named myDIABETIZER. “In the past, you had the diary and, with pen and paper, you put the information in the book. That’s the normal, old way,” says Hrassnigg. “What we deliver the diabetic is a complete overview about his or her health status, and this information can also be used to discuss the condition with their doctor.”

Diabetizer works by pulling in information from a number of digital tools, including Fitbit, Runkeeper, and nutrition apps. It meshes that data with glucose readings and insulin information and presents an overall picture of health. Among its most useful features: A risk-index screen shows whether blood sugar, cholesterol, BMI, or any number of other indicators is in the danger zone. Graphs allow users to look back over the past week or even the past year to see how weight, heart rate, or blood sugar has fluctuated or to pick up on patterns—maybe blood sugar is spiking on a day after too little exercise, for example.

“The app makes it all easy to handle,” explains Hrassnigg. “You get more motivated in using it because it makes it fun and you get accurate information that you can look back over for yourself. You can look at your information on your mobile in your free time. That is a big advantage [if you want to discuss] your condition with your doctor and for getting a feel for your own health indicators.” Doctors are able to receive a PDF of a patient's latest health stats from the app, via email.

“The opportunity to put powerful, but simple tools in the hands of an individual and be able to maintain a connection with them as they try to manage their condition is so compelling. It is absolutely going to change the face of medicine. Diabetizer is just one example.”

Sean M. Hogan, VP and General Manager of IBM Healthcare

“It’s very important that you have that information with you and not only in the ten minutes that you are discussing with the doctor.” -- the doctor may be with you for ten minutes. “You’ve got more concrete information with you and from all over the world you can get access to your data. And it’s also very really easy for a patient to see what to change to Excellerate my health.”

Robin Hrassnigg, founder of Diabetizer

“The structural shift that we’re wrestling with is the existing systems of care that are all built around acute-care models, but a societal need that is chronic and to be really effective needs to be supported with an ongoing basis outside the hospital environment.”

Sean M. Hogan, VP and General Manager of IBM Healthcare

“What we deliver the diabetic is a complete overview about his health status with a risk index. And this information can then be used to discuss his condition with his or her doctor or they can send it via PDF to the doctor.”

Robin Hrassnigg, founder of Diabetizer

“If you have information that might come from a fitness tracker to show your physical activity level, plus information from your glucose monitor, and you’re connected to your insulin pump, it's now possible that an app on your phone could tie all this information together to make an updated calculation in real time.”

Sean M. Hogan, VP and General Manager of IBM Healthcare

Share This

A day in the life of doctors who treat diabetes can be tedious. They are tasked with evaluating months of glucose readings and many other health indicators, sometimes in as little as 10 minutes while the patient is in the examining room. As for the patients, we all know what it's like to have a few minutes to explain symptoms during a doctor's appointment.

Wellness apps back up these experiences with data that we can easily share with our physicians, which leads to better recommendations and better outcomes. “The doctor is doing the same job,” says Hrassnigg, “but the patient has more concrete and more detailed information, which can now be easily provided to the doctor for an updated review of a case. That makes it easier to discuss with a doctor.”

What the world could use is more effective digital healthcare tools like Diabetizer, and fast. This is where advances in technology and cloud computing are finally cutting development times and making the process more democratic. Start-ups like Diabetizer, which moved its development over to IBM’s Bluemix cloud-based development platform earlier this year, can access a variety of cloud services instead of investing in expensive architecture. “As a start-up, it was very good for us because the costs were low,” says Hrassnigg. For one thing, he adds, “we didn’t have to invest in a big server infrastructure.”

Developers are also able to use the latest IBM Cloud services, such as IBM Bluemix, which offers a multitude of features and capabilities, to quickly add new functions into their apps. For example, Diabetizer used Bluemix to integrate fitness trackers as well as push notifications, email alerts, and photo storage into the app so that users can upload profile pics or even photos of a physical symptom they may want to share with their doctor.

“What’s so exciting about an application built on IBM Cloud’s development platform is you can put it out to a community and rapidly understand if it’s working,” says Hogan. “That’s vastly preferred to having to create an app and put it out on the market, wait multiple months, and go back into the lab.”

Beyond drastically shorter development times, it also helps make apps effective right out of the gate. Developers are ultimately looking to create apps that people use and return to again and again, which in the case of wellness apps is how the real benefit occurs. In addition to rapid application development and response, IBM Cloud also provides analytics and data-insight services that help developers understand how they can continue to refine their apps to meet patient needs.

Chronic diseases like diabetes are by definition daily and ongoing health issues. They’re caused, treated, and may ultimately be prevented by healthier choices and environmental factors—a fact that’s backed up by hard statistics. “Studies show that only about 10% to 25% of your health status is correlated to the clinical care that you receive and up to 30% associated with your unique genetic makeup,” says Hogan. “The predominant influence, up to 60%, is associated with your health behaviors, social and economic factors, and physical environments.”

Yet our healthcare system is currently set up in opposition to these facts. It deals with our well-being intermittently, through occasional doctor’s visits—or worse, when our health spirals out of control and we are hospitalized. This method of care drives up healthcare costs for everyone, and beyond that, it fails miserably at keeping us well.

“The structural shift that we’re wrestling with is the existing systems of care that are all built around acute-care models,” says Hogan. “But a societal need that is chronic and to be really effective needs to be supported with an ongoing basis outside the hospital environment.” Hogan adds that there's a real need to better understand risk factors for disease so we can Excellerate intervention and prevent disease altogether.

It’s not that we need to cut out doctors while building a new health paradigm. Doctors benefit as much as patients do when we fill in the gaps and keep ourselves well between visits. But digital tools and the data that they collect are proving to be very effective drivers toward 24/7, engaged, empowered, and consumer-driven healthcare.

And these tools are making doctors' lives easier too. As Hogan puts it, “they provide a connection back to the physician without it being overwhelming.”

Mon, 09 May 2022 15:53:00 -0500 text/html https://www.theatlantic.com/sponsored/ibm-transformation-of-business-part-2/diabetes-in-the-digital-age/562/
Killexams : CIOReview Names Cobalt Iron Among 10 Most Promising IBM Solution Providers 2022

LAWRENCE, Kan.--(BUSINESS WIRE)--Jul 28, 2022--

Cobalt Iron Inc., a leading provider of SaaS-based enterprise data protection, today announced that the company has been deemed one of the 10 Most Promising IBM Solution Providers 2022 by CIOReview Magazine. The annual list of companies is selected by a panel of experts and members of CIOReview Magazine’s editorial board to recognize and promote innovation and entrepreneurship. A technology partner for IBM, Cobalt Iron earned the distinction based on its Compass ® enterprise SaaS backup platform for monitoring, managing, provisioning, and securing the entire enterprise backup landscape.

This press release features multimedia. View the full release here: https://www.businesswire.com/news/home/20220728005043/en/

Cobalt Iron Compass® is a SaaS-based data protection platform leveraging strong IBM technologies for delivering a secure, modernized approach to data protection. (Graphic: Business Wire)

According to CIOReview, “Cobalt Iron has built a patented cyber-resilience technology in a SaaS model to alleviate the complexities of managing large, multivendor setups, providing an effectual humanless backup experience. This SaaS-based data protection platform, called Compass, leverages strong IBM technologies. For example, IBM Spectrum Protect is embedded into the platform from a data backup and recovery perspective. ... By combining IBM’s technologies and the intellectual property built by Cobalt Iron, the company delivers a secure, modernized approach to data protection, providing a ‘true’ software as a service.”

Through proprietary technology, the Compass data protection platform integrates with, automates, and optimizes best-of-breed technologies, including IBM Spectrum Protect, IBM FlashSystem, IBM Red Hat Linux, IBM Cloud, and IBM Cloud Object Storage. Compass enhances and extends IBM technologies by automating more than 80% of backup infrastructure operations, optimizing the backup landscape through analytics, and securing backup data, making it a valuable addition to IBM’s data protection offerings.

CIOReview also praised Compass for its simple and intuitive interface to display a consolidated view of data backups across an entire organization without logging in to every backup product instance to extract data. The machine learning-enabled platform also automates backup processes and infrastructure, and it uses open APIs to connect with ticket management systems to generate tickets automatically about any backups that need immediate attention.

To ensure the security of data backups, Cobalt Iron has developed an architecture and security feature set called Cyber Shield for 24/7 threat protection, detection, and analysis that improves ransomware responsiveness. Compass is also being enhanced to use several patented techniques that are specific to analytics and ransomware. For example, analytics-based cloud brokering of data protection operations helps enterprises make secure, efficient, and cost-effective use of their cloud infrastructures. Another patented technique — dynamic IT infrastructure optimization in response to cyberthreats — offers unique ransomware analytics and automated optimization that will enable Compass to reconfigure IT infrastructure automatically when it detects cyberthreats, such as a ransomware attack, and dynamically adjust access to backup infrastructure and data to reduce exposure.

Compass is part of IBM’s product portfolio through the IBM Passport Advantage program. Through Passport Advantage, IBM sellers, partners, and distributors around the world can sell Compass under IBM part numbers to any organizations, particularly complex enterprises, that greatly benefit from the automated data protection and anti-ransomware solutions Compass delivers.

CIOReview’s report concludes, “With such innovations, all eyes will be on Cobalt Iron for further advancements in humanless, secure data backup solutions. Cobalt Iron currently focuses on IP protection and continuous R&D to bring about additional cybersecurity-related innovations, promising a more secure future for an enterprise’s data.”

About Cobalt Iron

Cobalt Iron was founded in 2013 to bring about fundamental changes in the world’s approach to secure data protection, and today the company’s Compass ® is the world’s leading SaaS-based enterprise data protection system. Through analytics and automation, Compass enables enterprises to transform and optimize legacy backup solutions into a simple cloud-based architecture with built-in cybersecurity. Processing more than 8 million jobs a month for customers in 44 countries, Compass delivers modern data protection for enterprise customers around the world. www.cobaltiron.com

Product or service names mentioned herein are the trademarks of their respective owners.

Link to Word Doc:www.wallstcom.com/CobaltIron/220728-Cobalt_Iron-CIOReview_Top_IBM_Provider_2022.docx

Photo Link:www.wallstcom.com/CobaltIron/Cobalt_Iron_CIO_Review_Top_IBM_Solution_Provider_Award_Logo.pdf

Photo Caption: Cobalt Iron Compass ® is a SaaS-based data protection platform leveraging strong IBM technologies for delivering a secure, modernized approach to data protection.

Follow Cobalt Iron

https://twitter.com/cobaltiron

https://www.linkedin.com/company/cobalt-iron/

https://www.youtube.com/user/CobaltIronLLC

View source version on businesswire.com:https://www.businesswire.com/news/home/20220728005043/en/

CONTACT: Agency Contact:

Sunny Branson

Wall Street Communications

Tel: +1 801 326 9946

Email:sunny@wallstcom.com

Web:www.wallstcom.comCobalt Iron Contact:

Mary Spurlock

VP of Marketing

Tel: +1 785 979 9461

Email:maspurlock@cobaltiron.com

Web:www.cobaltiron.com

KEYWORD: EUROPE UNITED STATES NORTH AMERICA KANSAS

INDUSTRY KEYWORD: DATA MANAGEMENT SECURITY TECHNOLOGY SOFTWARE NETWORKS INTERNET

SOURCE: Cobalt Iron

Copyright Business Wire 2022.

PUB: 07/28/2022 09:00 AM/DISC: 07/28/2022 09:03 AM

http://www.businesswire.com/news/home/20220728005043/en

Thu, 28 Jul 2022 01:29:00 -0500 en text/html https://www.eagletribune.com/region/cioreview-names-cobalt-iron-among-10-most-promising-ibm-solution-providers-2022/article_56f7dda7-cbd5-586a-9d5f-f882022100da.html
Killexams : Global Bots In Financial Services Market Size and Growth 2022 Detailed Analysis by Market Revenue, Volume, CAGR Analysis and Forecast to 2026

The MarketWatch News Department was not involved in the creation of this content.

Aug 08, 2022 (The Expresswire) -- "Final Report will add the analysis of the impact of COVID-19 on this industry."

Global “Bots In Financial Services Market” 2022 research report is a structure for all the market-related information from the investments, regional development to the forthcoming market growth. It also shows the market analysis which comprises of the market size, share, revenue, opportunities and trends in order to be familiar with the current market position on both the regional and worldwide segment. Bots In Financial Services market focus on the market growth rate, the report offers information such as market definition, market dynamics and share, market segmentation, scope and geographical analysis. The keyword market report provides a comprehensive competitive analysis and profiles of market players.

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Market Analysis and Insights: Global Bots In Financial Services Market

The Bots In Financial Services market revenue was Million USD in 2016, grew to Million USD in 2021, and will reach Million USD in 2026, with a CAGR of during 2021-2026.

Major Players in Bots In Financial Services market are: ● Passage AI
● Yellow Messenger
● Google
● Botsify
● Kevit
● Contus
● Chatfuel
● Yekaliva
● Inbenta Technologies
● Kore.ai
● Gupshup
● CogniCor
● Artificial Solutions
● IBM Corporation
● KeyReply
● Nuance Communications
● Conversica
● Amazon Web Services
● SmartBots
● AIVO

Get a demo Copy of the Bots In Financial Services Market Report 2022

Most important types of Bots In Financial Services products covered in this report are: ● Solutions
● Services

Most widely used downstream fields of Bots In Financial Services market covered in this report are: ● Banking
● Messaging services
● Fintech
● Marketing and Sales

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Major Regions or countries covered in this report:

● United States ● Europe (Germany, UK, France, Italy, Spain, Russia, Poland) ● China ● Japan ● India ● Southeast Asia (Malaysia, Singapore, Philippines, Indonesia, Thailand, Vietnam) ● Latin America (Brazil, Mexico, Colombia) ● Middle East and Africa (Saudi Arabia, United Arab Emirates, Turkey, Egypt, South Africa, Nigeria)

Years considered for this report:

Historical Years: 2016-2020 ● Base Year: 2020 ● Estimated Year: 2021 ● Forecast Period: 2021-2026

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The Study Objectives of this report are:

● To analysis the worldwide Bots In Financial Services market size by product types, applications and regions. ● To comprehend the design of Bots In Financial Services market by recognizing its different sub-fragments. ● To study Bots In Financial Services by individual manufactures growth, future trends. ● To study Product Overview and Scope of Bots In Financial Services market segment, Revenue Sales Status and Outlook ● To study Manufacturing Cost Structure of Bots In Financial Services market ● To understand market Upstream and Do Manufacture 1tream analysis ● To understand Market Competitive Situation and Trends ● To understand market Drivers, Restraints, Opportunities, Challenges faced by Bots In Financial Services market ● To analysis new product and new technology release ● Analysis of Industry Development Trends under COVID-19 Outbreak

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Detailed TOC of Global Bots In Financial Services Market Research Report 2022

1 Bots In Financial Services Introduction and Market Overview

1.1 Objectives of the Study

1.2 Overview of Bots In Financial Services

1.3 Market Scope and Market Size Estimation

1.3.1 Market Concentration Ratio and Market Maturity Analysis

1.3.2 Global Revenue and Growth Rate from 2016-2026

1.4 Market Segmentation

1.4.1 Types of Bots In Financial Services

1.4.2 Applications of Bots In Financial Services

1.4.3 Research Regions

1.5 Market Dynamics

1.5.1 Industry Trends

1.5.2 Drivers

1.5.3 Market Challenges

1.5.4 Market Restraints

1.6 Industry News and Policies by Regions

1.6.1 Industry News

1.6.2 Industry Policies

1.7 Mergers and Acquisitions, Expansion Plans

1.8 Bots In Financial Services Industry Development Trends under COVID-19 Outbreak

1.8.1 Global COVID-19 Status Overview

1.8.2 Influence of COVID-19 Outbreak on Bots In Financial Services Industry Development

2 Bots In Financial Services Industry Chain Analysis

2.1 Upstream Raw Material Supply and Demand Analysis

2.1.1 Global Major Upstream Raw Material and Suppliers

2.1.2 Raw Material Source Analysis

2.2 Major Players of Bots In Financial Services

2.2.1 Major Players Manufacturing Base of Bots In Financial Services in 2020

2.2.2 Major Players Market Distribution in 2020

2.3 Bots In Financial Services Manufacturing Cost Structure Analysis

2.3.1 Production Process Analysis

2.3.2 Manufacturing Cost Structure of Bots In Financial Services

2.3.3 Labor Cost of Bots In Financial Services

2.4 Market Channel Analysis of Bots In Financial Services

2.5 Major Down Stream Customers by Application

3 Global Bots In Financial Services Market, by Type

3.1 Global Revenue and Market Share by Type (2016-2021)

3.2 Global Production and Market Share by Type (2016-2021)

3.3 Global and Growth Rate by Type (2016-2021)

3.4 Global Price Analysis by Type (2016-2021)

3.4.1 Explanation of Different Type Product Price Trends

Get a demo Copy of the Bots In Financial Services Market Report 2022

4 Bots In Financial Services Market, by Application

4.1 Downstream Market Overview

4.2 Global Consumption and Market Share by Application (2016-2021)

4.3 Global Consumption and Growth Rate by Application (2016-2021)

5 Global Bots In Financial Services Consumption, Revenue ($) by Region (2016-2021)

5.1 Global Revenue and Market Share by Region (2016-2021)

5.2 Global Consumption and Market Share by Region (2016-2021)

5.3 Global Consumption, Revenue, Price and Gross Margin (2016-2021)

5.4 North America Bots In Financial Services Consumption, Revenue, Price and Gross Margin (2016-2021)

5.4.1 North America Market Under COVID-19

5.4.2 North America SWOT Analysis

5.5 Europe Bots In Financial Services Consumption, Revenue, Price and Gross Margin (2016-2021)

5.5.1 Europe Bots In Financial Services Market Under COVID-19

5.5.2 Europe SWOT Analysis

5.6 China Consumption, Revenue, Price and Gross Margin (2016-2021)

5.6.1 China Under COVID-19

5.6.2 China Bots In Financial Services SWOT Analysis

5.7 Japan Bots In Financial Services Consumption, Revenue, Price and Gross Margin (2016-2021)

5.7.1 Japan Market Under COVID-19

5.7.2 Japan SWOT Analysis

5.8 Middle East and Africa Bots In Financial Services Consumption, Revenue, Price and Gross Margin (2016-2021)

5.8.1 Middle East and Africa Market Under COVID-19

5.8.2 Middle East and Africa SWOT Analysis

5.9 India Bots In Financial Services Consumption, Revenue, Price and Gross Margin (2016-2021)

5.9.1 India Market Under COVID-19

5.9.2 India SWOT Analysis

5.10 South America Bots In Financial Services Consumption, Revenue, Price and Gross Margin (2016-2021)

5.10.1 South America Market Under COVID-19

5.10.2 South America SWOT Analysis

5.11 South Korea Bots In Financial Services Consumption, Revenue, Price and Gross Margin (2016-2021)

5.11.1 South Korea Market Under COVID-19

5.11.2 South Korea SWOT Analysis

5.12 Southeast Asia Bots In Financial Services Consumption, Revenue, Price and Gross Margin (2016-2021)

5.12.1 Southeast Asia Market Under COVID-19

5.12.2 Southeast Asia SWOT Analysis

6 Global Bots In Financial Services Production by Top Regions (2016-2021)

6.1 Global Production by Top Regions (2016-2021)

6.2 North America Production and Growth Rate

6.3 Europe Production and Growth Rate

6.4 China Bots In Financial Services Production and Growth Rate

6.5 Japan Production and Growth Rate

6.6 India Production and Growth Rate

7 Global Bots In Financial Services Consumption by Regions (2016-2021)

7.1 Global Consumption by Regions (2016-2021)

7.2 North America Bots In Financial Services Consumption and Growth Rate

7.3 Europe Bots In Financial Services Consumption and Growth Rate

7.4 China Bots In Financial Services Consumption and Growth Rate

7.5 Japan Bots In Financial Services Consumption and Growth Rate

7.6 Middle East and Africa Bots In Financial Services Consumption and Growth Rate

7.7 India Bots In Financial Services Consumption and Growth Rate

7.8 South America Bots In Financial Services Consumption and Growth Rate

7.9 South Korea Bots In Financial Services Consumption and Growth Rate

7.10 Southeast Asia Bots In Financial Services Consumption and Growth Rate

8 Competitive Landscape

8.1 Competitive Profile

8.2 Manufacture 1 Market Performance Analysis

8.2.1 Company Profiles

8.2.2 Bots In Financial Services Product Profiles, Application and Specification

8.2.3 Manufacture 1 Sales, Revenue, Price, and Gross Margin 2016-2021

8.2.4 Company exact Development

8.2.5 Strategies for Company to Deal with the Impact of COVID-19

8.3 Manufacture 2 Market Performance Analysis

8.3.1 Company Profiles

8.3.2 Bots In Financial Services Product Profiles, Application and Specification

8.3.3 Manufacture 2 Sales, Revenue, Price, Gross Margin 2016-2021

8.3.4 Company exact Development

8.3.5 Strategies for Company to Deal with the Impact of COVID-19

8.4 Manufacture 3 Market Performance Analysis

8.4.1 Company Profiles

8.4.2 Bots In Financial Services Product Profiles, Application and Specification

8.4.3 Manufacture 3 Sales, Revenue, Price, Gross Margin 2016-2021

8.4.4 Company exact Development

8.4.5 Strategies for Company to Deal with the Impact of COVID-19

9 Global Bots In Financial Services Market Analysis and Forecast by Type and Application

9.1 Global Market Revenue and Volume Forecast, by Type (2021-2026)

9.2 Global Bots In Financial Services Market Revenue and Volume Forecast, by Application (2021-2026)

10 Bots In Financial Services Market Supply and Demand Forecast by Region

10.1 North America Market Supply and Demand Forecast (2021-2026)

10.2 Europe Market Supply and Demand Forecast (2021-2026)

10.3 China Market Supply and Demand Forecast (2021-2026)

10.4 Japan Market Supply and Demand Forecast (2021-2026)

10.5 Middle East and Africa Market Supply and Demand Forecast (2021-2026)

10.6 India Market Supply and Demand Forecast (2021-2026)

10.7 South America Market Supply and Demand Forecast (2021-2026)

10.8 South Korea Market Supply and Demand Forecast (2021-2026)

10.9 Southeast Asia Market Supply and Demand Forecast (2021-2026)

10.10 Explanation of Market Size Trends by Region

10.11 Bots In Financial Services Market Trends Analysis

11 New Project Feasibility Analysis

11.1 Industry Barriers and New Entrants SWOT Analysis

11.2 Analysis and Suggestions on New Project Investment

12 Expert Interview Record

13 Research Finding and Conclusion

14 Appendix

14.1 Methodology

14.2 Research Data Source

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Killexams : With 12.2% CAGR, Risk Analytics Market Worth USD 54.95 Billion by 2027

Fortune Business Insights

According to Fortune Business Insights, the global Risk Analytics Market size is projected to reach USD 54.95 billion in 2027, at a CAGR of 12.2% during the forecast period [2022 - 2027]. Businesses Adopting Reactive and Predictive Risk Models to Adequately Manage Risks have become Major Trend

Pune, India, July 28, 2022 (GLOBE NEWSWIRE) -- A exact report by Fortune Business Insights titled, “Risk Analytics Market Size, Share and Covid-19 Impact Analysis, By Component, By Application, By Deployment, By Enterprise Size, By Industry, and Regional Forecast, 2020-2027,” estimated the market to rise from USD 22.18 billion earned in 2019 to rise at a CAGR of 12.2% and reach USD 54.95 billion by the end of 2027. The global Risk Analytics Market size is anticipated to witness significant growth on account of the increasing demand for risk mitigation to secure data from malicious attacks.

Risk analytics is a part of risk management that helps to examine the investment portfolios, security issues, information technology, and other crucial aspects of a company and scrutinizes the risks associated with taking business-related decisions.

Key Industry Developments of the Market include:

May 2019 – Thomas Reuters and IBM Corporation signed a collaborative agreement for integrating real-time regulatory models and artificial intelligence (AI) for helping banks meet the ever-increasing regulatory demands.

Request demo Copy of the Report: https://www.fortunebusinessinsights.com/enquiry/request-sample-pdf/risk-analytics-market-102975

Report Scope:

Report Coverage

Details

Forecast Period

2022 to 2027

Forecast Period 2022 to 2027 CAGR

12.2%

2027 Value Projection

USD 54.95 Billion

Base Year

2019

Risk Analytics Market Size in 2019

USD 22.18 Billion

Historical Data for

2016 to 2018

No. of Pages

160

Segments covered

Component, Deployment, Risk Type Application, Enterprises Size, Industry and Geography

Risk Analytics Market Growth Drivers

Increasing Adoption by Small and Middle Sized Companies to Augment Growth

Organizations Implementing Artificial Intelligence (AI)-based Risk Analytics Models to Mitigate Risks will Boost Growth

Mismeasurement of Known Risks and Complex Nature of Unstructured Data to Impact Business Functionalities

Regional Analysis-

North America Generated Significant Revenue Owing to Increasing Acceptance of Risk Management Technologies by Various Industries

Geographically, North America earned USD 7.49 billion in 2019 and emerged dominant with the increasing adoption of software and services to protect crucial data. Besides this, the small and large enterprises are also adopting cybersecurity management services for improving the efficiency of their business, thereby aiding in the expansion of the regional market.

On the other side, the market in the Asia Pacific is likely to gain impetus in the coming years on account of the advent of digital transformation, fewer cybersecurity practices in businesses, high internet access, and the increasing number of data violation cases. The increasing awareness about the importance of data protection is propelling the adoption of risk analytics. Therefore, this region is likely to rise significantly in the forecast period.

Driving Factor:

Increasing Adoption by Small and Middle Sized Companies to Augment Growth

A rise in the need of an all-in-one software for analyzing and detecting the overall digital performance of the firm or business is propelling the risk analytics market growth. This, coupled with the increasing number of cybercrime cases, malicious frauds, and other forms of data theft are expected to aid in the expansion of the market in the coming years. Additionally, the increasing complexities associated with the business processes across all small, medium, and large industries are likely to bode well for the market in the coming years.

On the negative side, the complex nature of unstructured data and mismeasurement of known risks may pose a major threat to the market in the coming years. Nevertheless, the adoption of predictive risk management on a large scale is likely to create lucrative growth opportunities for the market in the coming years, thereby surging the demand for analytics solutions.

Have Any Query? Speak to Analyst:  https://www.fortunebusinessinsights.com/enquiry/speak-to-analyst/risk-analytics-market-102975

The Report Answers the Following Queries

  • What is the future of this market?

  • Will the impact of the COVID-19 pandemic affect the market positively or negatively and how?

  • What are the key drivers, restraints, and challenges of the market?

  • Which are the major industry insights to the market?

Market Segmentation:

Financial Risks Segment to Earn Dominance Accountable to Uncertainties of International Exchange Levels

Based on segmentation by application, the financial risks segment earned the largest risk analytics market share on account of the uncertainty related to the credit quality, stock values, international exchange levels, liquidity, and asset costs. The implementation of advanced analytics solutions will help financial firms and banks to predict consumer preferences and behavior for better evaluation.

Segmentations

By Component

By Risk Type Application

By Deployment

By Enterprise Size

By Industry

  • Banking, Financial Services and Insurance (BFSI)

  • IT and Telecommunications

  • Healthcare

  • Retail and Consumer Goods

  • Energy and Utilities

  • Manufacturing

  • Others (Media and Entertainment, Construction, and others)

Get your Customized Research Report: https://www.fortunebusinessinsights.com/enquiry/customization/risk-analytics-market-102975

Competitive Landscape-

Moody’s Analytics, Inc. is Holding Largest Share Due to Diverse Portfolio

Amongst the list of players operating in the risk analytics market, Moody’s Analytics Inc. emerged dominant on account of its diverse portfolio and wide adoption, especially across the United States. Besides this, Moody’s approach to the development of analytics products and growth strategies is holistic and this may further help the company to continue dominating in the market in the coming years.

Fortune Business Insights™ lists out the names of Risk Analytics Solution Providers Functioning in the Market. They are as follows:

The emergence of COVID-19 has brought the world to a standstill. We understand that this health crisis has brought an unprecedented impact on businesses across industries. However, this too shall pass. Rising support from governments and several companies can help in the fight against this highly contagious disease. There are some industries that are struggling and some are thriving. Overall, almost every sector is anticipated to be impacted by the pandemic.

Quick Buy – Risk Analytics Market Research Report:

https://www.fortunebusinessinsights.com/checkout-page/102975

Major Points in TOC:

  • Introduction

    • Definition, By Segment

    • Research Approach

    • Sources

  • Executive Summary

  • Market Dynamics

  • Key Insights

    • Macro and Micro Economic Indicators

    • Impact of COVID-19

      • Short-term Impact

      • Long-term Impact

    • Key Industry Developments – In Response to the COVID-19 Impact

    • Consolidated SWOT Analysis of Key Players

    • Porter’s Five Force Analysis

  • Global Risk Analytics Market Analysis, Insights and Forecast, 2016-2027

  • North America Risk Analytics Market Analysis, Insights and Forecast, 2016-2027

TOC Continued…!

FAQ:

How much is the market worth?

As per our study, the global market is predicted to reach USD 54.95 billion by 2027 with a CAGR of 12.2% (2020 -2027).

Which industries use these solutions?

Banking, financial services and insurance (BFSI) is the leading adoption area for risk analytics solutions.

How big is the market?

In 2019, the global market was USD 22.18 billion and it is anticipated to reach USD 54.95 billion by 2027, reflecting a CAGR of 12.2% during the forecast period from 2020 to 2027.

About Us:

Fortune Business Insights™ offers expert corporate analysis and accurate data, helping organizations of all sizes make timely decisions. We tailor innovative solutions for our clients, assisting them to address challenges distinct to their businesses. Our goal is to empower our clients with holistic market intelligence, giving a granular overview of the market they are operating in.

Contact Us:

Fortune Business Insights™ Pvt. Ltd.

US: +1 424 253 0390

UK: +44 2071 939123

APAC: +91 744 740 1245

Email: sales@fortunebusinessinsights.com

Thu, 28 Jul 2022 01:19:00 -0500 en-US text/html https://finance.yahoo.com/news/12-2-cagr-risk-analytics-131900563.html
Killexams : CIOReview Names Cobalt Iron Among 10 Most Promising IBM Solution Providers 2022

LAWRENCE, Kan., July 28, 2022--(BUSINESS WIRE)--Cobalt Iron Inc., a leading provider of SaaS-based enterprise data protection, today announced that the company has been deemed one of the 10 Most Promising IBM Solution Providers 2022 by CIOReview Magazine. The annual list of companies is selected by a panel of experts and members of CIOReview Magazine’s editorial board to recognize and promote innovation and entrepreneurship. A technology partner for IBM, Cobalt Iron earned the distinction based on its Compass® enterprise SaaS backup platform for monitoring, managing, provisioning, and securing the entire enterprise backup landscape.

This press release features multimedia. View the full release here: https://www.businesswire.com/news/home/20220728005043/en/

Cobalt Iron Compass® is a SaaS-based data protection platform leveraging strong IBM technologies for delivering a secure, modernized approach to data protection. (Graphic: Business Wire)

According to CIOReview, "Cobalt Iron has built a patented cyber-resilience technology in a SaaS model to alleviate the complexities of managing large, multivendor setups, providing an effectual humanless backup experience. This SaaS-based data protection platform, called Compass, leverages strong IBM technologies. For example, IBM Spectrum Protect is embedded into the platform from a data backup and recovery perspective. ... By combining IBM’s technologies and the intellectual property built by Cobalt Iron, the company delivers a secure, modernized approach to data protection, providing a ‘true’ software as a service."

Through proprietary technology, the Compass data protection platform integrates with, automates, and optimizes best-of-breed technologies, including IBM Spectrum Protect, IBM FlashSystem, IBM Red Hat Linux, IBM Cloud, and IBM Cloud Object Storage. Compass enhances and extends IBM technologies by automating more than 80% of backup infrastructure operations, optimizing the backup landscape through analytics, and securing backup data, making it a valuable addition to IBM’s data protection offerings.

CIOReview also praised Compass for its simple and intuitive interface to display a consolidated view of data backups across an entire organization without logging in to every backup product instance to extract data. The machine learning-enabled platform also automates backup processes and infrastructure, and it uses open APIs to connect with ticket management systems to generate tickets automatically about any backups that need immediate attention.

To ensure the security of data backups, Cobalt Iron has developed an architecture and security feature set called Cyber Shield for 24/7 threat protection, detection, and analysis that improves ransomware responsiveness. Compass is also being enhanced to use several patented techniques that are specific to analytics and ransomware. For example, analytics-based cloud brokering of data protection operations helps enterprises make secure, efficient, and cost-effective use of their cloud infrastructures. Another patented technique — dynamic IT infrastructure optimization in response to cyberthreats — offers unique ransomware analytics and automated optimization that will enable Compass to reconfigure IT infrastructure automatically when it detects cyberthreats, such as a ransomware attack, and dynamically adjust access to backup infrastructure and data to reduce exposure.

Compass is part of IBM’s product portfolio through the IBM Passport Advantage program. Through Passport Advantage, IBM sellers, partners, and distributors around the world can sell Compass under IBM part numbers to any organizations, particularly complex enterprises, that greatly benefit from the automated data protection and anti-ransomware solutions Compass delivers.

CIOReview’s report concludes, "With such innovations, all eyes will be on Cobalt Iron for further advancements in humanless, secure data backup solutions. Cobalt Iron currently focuses on IP protection and continuous R&D to bring about additional cybersecurity-related innovations, promising a more secure future for an enterprise’s data."

About Cobalt Iron

Cobalt Iron was founded in 2013 to bring about fundamental changes in the world’s approach to secure data protection, and today the company’s Compass® is the world’s leading SaaS-based enterprise data protection system. Through analytics and automation, Compass enables enterprises to transform and optimize legacy backup solutions into a simple cloud-based architecture with built-in cybersecurity. Processing more than 8 million jobs a month for customers in 44 countries, Compass delivers modern data protection for enterprise customers around the world. www.cobaltiron.com

Product or service names mentioned herein are the trademarks of their respective owners.

Link to Word Doc: www.wallstcom.com/CobaltIron/220728-Cobalt_Iron-CIOReview_Top_IBM_Provider_2022.docx

Photo Link: www.wallstcom.com/CobaltIron/Cobalt_Iron_CIO_Review_Top_IBM_Solution_Provider_Award_Logo.pdf

Photo Caption: Cobalt Iron Compass® is a SaaS-based data protection platform leveraging strong IBM technologies for delivering a secure, modernized approach to data protection.

Follow Cobalt Iron

https://twitter.com/cobaltiron
https://www.linkedin.com/company/cobalt-iron/
https://www.youtube.com/user/CobaltIronLLC

View source version on businesswire.com: https://www.businesswire.com/news/home/20220728005043/en/

Contacts

Agency Contact:
Sunny Branson
Wall Street Communications
Tel: +1 801 326 9946
Email: sunny@wallstcom.com
Web: www.wallstcom.com

Cobalt Iron Contact:
Mary Spurlock
VP of Marketing
Tel: +1 785 979 9461
Email: maspurlock@cobaltiron.com
Web: www.cobaltiron.com

Thu, 28 Jul 2022 01:04:00 -0500 en-NZ text/html https://nz.finance.yahoo.com/news/cioreview-names-cobalt-iron-among-130000149.html
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