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Killexams : Top 10 data lake solution vendors in 2022

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As the world becomes increasingly data-driven, businesses must find suitable solutions to help them achieve their desired outcomes. Data lake storage has garnered the attention of many organizations that need to store large amounts of unstructured, raw information until it can be used in analytics applications.

The data lake solution market is expected to grow rapidly in the coming years and is driven by vendors that offer cost-effective, scalable solutions for their customers.

Learn more about data lake solutions, what key features they should have and some of the top vendors to consider this year. 

What is a data lake solution?

A data lake is defined as a single, centralized repository that can store massive amounts of unstructured and semi-structured information in its native, raw form. 

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It’s common for an organization to store unstructured data in a data lake if it hasn’t decided how that information will be used. Some examples of unstructured data include images, documents, videos and audio. These data types are useful in today’s advanced machine learning (ML) and advanced analytics applications.

Data lakes differ from data warehouses, which store structured, filtered information for specific purposes in files or folders. Data lakes were created in response to some of the limitations of data warehouses. For example, data warehouses are expensive and proprietary, cannot handle certain business use cases an organization must address, and may lead to unwanted information homogeneity.

On-premise data lake solutions were commonly used before the widespread adoption of the cloud. Now, it’s understood that some of the best hosts for data lakes are cloud-based platforms on the edge because of their inherent scalability and considerably modular services. 

A 2019 report from the Government Accountability Office (GAO) highlights several business benefits of using the cloud, including better customer service and the acquisition of cost-effective options for IT management services.

Cloud data lakes and on-premise data lakes have pros and cons. Businesses should consider cost, scale and available technical resources to decide which type is best.

Read more about data lakes: What is a data lake? Definition, benefits, architecture and best practices

5 must-have features of a data lake solution

It’s critical to understand what features a data lake offers. Most solutions come with the same core components, but each vendor may have specific offerings or unique selling points (USPs) that could influence a business’s decision.

Below are five key features every data lake should have:

1. Various interfaces, APIs and endpoints

Data lakes that offer diverse interfaces, APIs and endpoints can make it much easier to upload, access and move information. These capabilities are important for a data lake because it allows unstructured data for a wide range of use cases, depending on a business’s desired outcome.

2. Support for or connection to processing and analytics layers

ML engineers, data scientists, decision-makers and analysts benefit most from a centralized data lake solution that stores information for easy access and availability. This characteristic can help data professionals and IT managers work with data more seamlessly and efficiently, thus improving productivity and helping companies reach their goals.

3. Robust search and cataloging features

Imagine a data lake with large amounts of information but no sense of organization. A viable data lake solution must incorporate generic organizational methods and search capabilities, which provide the most value for its users. Other features might include key-value storage, tagging, metadata, or tools to classify and collect subsets of information.

4. Security and access control

Security and access control are two must-have features with any digital tool. The current cybersecurity landscape is expanding, making it easier for threat actors to exploit a company’s data and cause irreparable damage. Only certain users should have access to a data lake, and the solution must have strong security to protect sensitive information.

5. Flexibility and scalability

More organizations are growing larger and operating at a much faster rate. Data lake solutions must be flexible and scalable to meet the ever-changing needs of modern businesses working with information.

Also read: Unlocking analytics with data lake and graph analysis

Top 10 data lake solution vendors in 2022

Some data lake solutions are best suited for businesses in certain industries. In contrast, others may work well for a company of a particular size or with a specific number of employees or customers. This can make choosing a potential data lake solution vendor challenging. 

Companies considering investing in a data lake solution this year should check out some of the vendors below.

1. Amazon Web Services (AWS)

The AWS Cloud provides many essential tools and services that allow companies to build a data lake that meets their needs. The AWS data lake solution is widely used, cost-effective and user-friendly. It leverages the security, durability, flexibility and scalability that Amazon S3 object storage offers to its users. 

The data lake also features Amazon DynamoDB to handle and manage metadata. AWS data lake offers an intuitive, web-based console user interface (UI) to manage the data lake easily. It also forms data lake policies, removes or adds data packages, creates manifests of datasets for analytics purposes, and features search data packages.

2. Cloudera

Cloudera is another top data lake vendor that will create and maintain safe, secure storage for all data types. Some of Cloudera SDX’s Data Lake Service capabilities include:

  • Data schema/metadata information
  • Metadata management and governance
  • Compliance-ready access auditing
  • Data access authorization and authentication for improved security

Other benefits of Cloudera’s data lake include product support, downloads, community and documentation. GSK and Toyota leveraged Cloudera’s data lake to garner critical business intelligence (BI) insights and manage data analytics processes.

3. Databricks 

Databricks is another viable vendor, and it also offers a handful of data lake alternatives. The Databricks Lakehouse Platform combines the best elements of data lakes and warehouses to provide reliability, governance, security and performance.

Databricks’ platform helps break down silos that normally separate and complicate data, which frustrates data scientists, ML engineers and other IT professionals. Aside from the platform, Databricks also offers its Delta Lake solution, an open-format storage layer that can Boost data lake management processes. 

4. Domo

Domo is a cloud-based software company that can provide big data solutions to all companies. Users have the freedom to choose a cloud architecture that works for their business. Domo is an open platform that can augment existing data lakes, whether it’s in the cloud or on-premise. Users can use combined cloud options, including:

  • Choosing Domo’s cloud
  • Connecting to any cloud data
  • Selecting a cloud data platform

Domo offers advanced security features, such as BYOK (bring your own key) encryption, control data access and governance capabilities. Well-known corporations such as Nestle, DHL, Cisco and Comcast leverage the Domo Cloud to better manage their needs.

5. Google Cloud

Google is another big tech player offering customers data lake solutions. Companies can use Google Cloud’s data lake to analyze any data securely and cost-effectively. It can handle large volumes of information and IT professionals’ various processing tasks. Companies that don’t want to rebuild their on-premise data lakes in the cloud can easily lift and shift their information to Google Cloud. 

Some key features of Google’s data lakes include Apache Spark and Hadoop migration, which are fully managed services, integrated data science and analytics, and cost management tools. Major companies like Twitter, Vodafone, Pandora and Metro have benefited from Google Cloud’s data lakes.

6. HP Enterprise

Hewlett Packard Enterprise (HPE) is another data lake solution vendor that can help businesses harness the power of their big data. HPE’s solution is called GreenLake — it offers organizations a truly scalable, cloud-based solution that simplifies their Hadoop experiences. 

HPE GreenLake is an end-to-end solution that includes software, hardware and HPE Pointnext Services. These services can help businesses overcome IT challenges and spend more time on meaningful tasks. 

7. IBM

Business technology leader IBM also offers data lake solutions for companies. IBM is well-known for its cloud computing and data analytics solutions. It’s a great choice if an operation is looking for a suitable data lake solution. IBM’s cloud-based approach operates on three key principles: embedded governance, automated integration and virtualization.

These are some data lake solutions from IBM: 

  • IBM Db2
  • IBM Db2 BigSQL
  • IBM Netezza
  • IBM Watson Query
  • IBM Watson Knowledge Catalog
  • IBM Cloud Pak for Data

With so many data lakes available, there’s surely one to fit a company’s unique needs. Financial services, healthcare and communications businesses often use IBM data lakes for various purposes.

8. Microsoft Azure

Microsoft offers its Azure Data Lake solution, which features easy storage methods, processing, and analytics using various languages and platforms. Azure Data Lake also works with a company’s existing IT investments and infrastructure to make IT management seamless.

The Azure Data Lake solution is affordable, comprehensive, secure and supported by Microsoft. Companies benefit from 24/7 support and expertise to help them overcome any big data challenges they may face. Microsoft is a leader in business analytics and tech solutions, making it a popular choice for many organizations.

9. Oracle

Companies can use Oracle’s Big Data Service to build data lakes to manage the influx of information needed to power their business decisions. The Big Data Service is automated and will provide users with an affordable and comprehensive Hadoop data lake platform based on Cloudera Enterprise. 

This solution can be used as a data lake or an ML platform. Another important feature of Oracle is it is one of the best open-source data lakes available. It also comes with Oracle-based tools to add even more value. Oracle’s Big Data Service is scalable, flexible, secure and will meet data storage requirements at a low cost.

10. Snowflake

Snowflake’s data lake solution is secure, reliable and accessible and helps businesses break down silos to Boost their strategies. The top features of Snowflake’s data lake include a central platform for all information, fast querying and secure collaboration.

Siemens and Devon Energy are two companies that provide testimonials regarding Snowflake’s data lake solutions and offer positive feedback. Another benefit of Snowflake is its extensive partner ecosystem, including AWS, Microsoft Azure, Accenture, Deloitte and Google Cloud.

The importance of choosing the right data lake solution vendor 

Companies that spend extra time researching which vendors will offer the best enterprise data lake solutions for them can manage their information better. Rather than choose any vendor, it’s best to consider all options available and determine which solutions will meet the specific needs of an organization.

Every business uses information, some more than others. However, the world is becoming highly data-driven — therefore, leveraging the right data solutions will only grow more important in the coming years. This list will help companies decide which data lake solution vendor is right for their operations.

Read next: Get the most value from your data with data lakehouse architecture

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Killexams : IBM buys Databand to keep bad data from tainting your AI No result found, try new keyword!Garbage in, garbage out IBM says its acquisition of observability startup Databand will help it stop bad data from poisoning customers' machine-learning and analytics workloads and save countless ... Wed, 06 Jul 2022 12:08:42 -0500 en-us text/html https://www.msn.com/en-us/news/technology/ibm-buys-databand-to-keep-bad-data-from-tainting-your-ai/ar-AAZi3aG Killexams : Big Data Analytics in Retail Market Research Focuses on Top Companies, Their Research Methodology, Current and Future Growth Plans

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

Jul 11, 2022 (Alliance News via COMTEX) -- Key Companies Covered in the Big Data Analytics in Retail Market Research are Alteryx Inc., IBM, Microsoft, Microstrategy Inc., Oracle Corporation, Qlik Technologies Inc., RetailNext, SAP SE, SAS institute, and Teradata. and other key market players.

Big data analytics in retail enables detecting customer behavior, discovering customer shopping patterns and trends, improving quality of customer service, and achieving better customer retention and satisfaction. It can be used by retailers for customer segmentation, customer loyalty analysis, pricing analysis, cross selling, supply chain management, demand forecasting, market basket analysis, and finance and fixed asset management.

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Rise in spending on big data analytics tools, increase in need to deliver personalized customer experience to increase sales, surge in adoption of customer-centric strategies, and rise in awareness regarding benefits of big data analytics in retail are major factors that fuel growth of the big data analytics in retail market. In addition, rise in growth of the e-commerce sector also propels growth of this market. However, issues in collecting and collating data from disparate systems are expected to hinder the big data analytics in retail market growth. On the contrary, integration of new technologies such as machine learning and AI in big data analytics in retail is expected to provide lucrative opportunities for the market growth in the coming years

The big data analytics in retail market is segmented on the basis of component, deployment, organization size, application, and region. By component, the market is categorized into software and services. On the basis of deployment, it is classified into on-premise and cloud. As per organization size, market is divided into large enterprises and small & medium sized enterprises (SMEs). Depending on application, it is divided into sales & marketing analytics, supply chain operations management, merchandising analytics, customer analytics, and others. By region, it is analyzed across North America, Europe, Asia-Pacific, and LAMEA.

KEY BENEFITS FOR STAKEHOLDERS
– The study provides an in-depth analysis of the big data in retail market along with current trends and future estimations to elucidate imminent investment pockets.
– Information about key drivers, restrains, and opportunities and their impact analysis on the market size is provided in the report.
– Porter’s five forces analysis illustrates the potency of buyers and suppliers operating in the industry.
– The quantitative analysis of big data in retail storage market for the period 2020-2028 is provided to determine the market potential.

KEY MARKET SEGMENTS
BY COMPONENT
– Software
– Services

BY DEPLOYMENT TYPE

– On-Premise
– Cloud

?
BY Organization Size

– Large Enterprise
– Small & Medium Enterprise

SPECIAL OFFER (Avail an Up-to 30% discount on this report- https://reportocean.com/industry-verticals/sample-request?report_id=AMR1814

By Applications

– Sales & marketing analytics
– Supply chain operations management
– Merchandising analytics
– Customer analytics
– Others

BY REGION
– North America
o U.S.
o Canada

– Europe
o UK
o Germany
o France
o Italy
o Spain
o Rest of Europe

– Asia-Pacific
o China
o India
o Japan
o India
o Australia
o South Korea
o Rest of Asia-Pacific

– LAMEA
o Latin America
o Middle East
o Africa
o Rest of LAMEA

Table of Content:

  • Market Definition and Overview
  • Research Method and Logic
  • Market Competition Analysis
  • Product and Service Analysis
  • Strategies for Company to Deal with the Impact of COVID-19
  • Market Segment by Type, Historical Data and Market Forecasts
  • Market Segment by Application, Historical Data and Market Forecasts
  • Market by by Region, Historical Data and Market Forecasts
  • Market Dynamic Analysis and Development Suggestions

Key Benefits for Industry Participants & Stakeholders

  • The Market Research allows the investors to understand the market size, dynamics, risks, and opportunities in the industry.
  • The market research report provides market sizing and forecast over major currencies - USD, EUR, JPY, GBP, and CHF.
  • This Market Research Report helps to forecast the revenues and analyze the market trends based on region, product type, and end-use.
  • The Market analysis of the market share of the can prove beneficial in terms of profit to the industry's participants and stakeholders.

Key Questions Answered in the Market Report

  • Which Manufacturing Technology is used for Market? What Developments Are Going on in That Technology?
  • Which Trends Are Causing These Developments? Who Are the Global Key Players in This Market?
  • What are Their Company Profile, Their Product Information, and Contact Information?
  • What Was Global Status of Market? What Was Capacity, Production Value, Cost and PROFIT of Market?
  • What Is Current Market Status of market Industry? What's Market Competition in This Industry, Both Company, and Country Wise?
  • What's Market Analysis of Market by Taking Applications and Types in Consideration?
  • What Are Projections of Global Market Industry Considering Capacity, Production and Production Value? What Will Be the Estimation of Cost and Profit?
  • What Will Be Market Share Report, Supply and Consumption? What about Import and Export?
  • What Is Market Chain Analysis by Upstream Raw Materials and Downstream Industry?

Request full Report: https://reportocean.com/industry-verticals/sample-request?report_id=AMR1814

About Report Ocean:
We are the best market research reports provider in the industry. Report Ocean believes in providing quality reports to clients to meet the top line and bottom line goals which will boost your market share in today's competitive environment. Report Ocean is a 'one-stop solution' for individuals, organizations, and industries that are looking for innovative market research reports.

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COMTEX_409959009/2796/2022-07-11T00:05:15

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

Sun, 10 Jul 2022 16:05:00 -0500 en-US text/html https://www.marketwatch.com/press-release/big-data-analytics-in-retail-market-research-focuses-on-top-companies-their-research-methodology-current-and-future-growth-plans-2022-07-11
Killexams : Supply Chain Analytics Market SWOT analysis, Growth, Share, Size and Demand outlook by 2030

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

Jul 11, 2022 (Alliance News via COMTEX) -- Key Companies Covered in the Supply Chain Analytics Market Research are Oracle, SAP SE, IBM, SAS Institute, MicroStrategy, Tableau, Qlik, Infor Inc., Kinaxis Inc., and Manhattan Associates. and other key market players.

Supply chain analytics is an innovative technology, which is implemented by industries to save cost, augment business growth, and increase customer satisfaction. Need for better supply chain visibility, reduced warehousing costs, changing customer demands and forecast is encouraging the demand for supply chain analytics solutions. Several organizations are implementing solutions to achieve high productivity and enhanced supply chain visibility. The global supply chain analytics market is expected to register substantial growth in the near future and this is attributed to the growing need to Boost visibility on supply chain operations such as orders, shipments, and inventory.

Download Free demo of This Strategic Report: https://reportocean.com/industry-verticals/sample-request?report_id=AMR1330


Increase in need of improving operational and supply chain efficiencies, rapid increase in volume of business data across various sectors such as manufacturing, retail, transportation, surge in investments for Big Data supporting initiatives by governments, and rise in adoption of Big Data technologies are some of the major factors that drive the global supply chain analytics market growth. However, lack of skilled IT staff and inaccuracies in data are anticipated to restrict the market growth. On the contrary, growth in awareness regarding benefits of supply chain analytics and rise in demand for cloud-based supply chain analytics solutions are anticipated to provide lucrative growth opportunities for the expansion of global supply chain analytics market during the analysis period.

The global supply chain analytics market is segmented on the basis of component, deployment, enterprise size, industry vertical, and region. By component, it is divided into software and services. The software segment is further categorized into demand analysis and forecasting, provider performance analytics, spend and procurement analytics, inventory analytics, transportation and logistics analytics, and others. Depending on deployment, it is segregated into cloud and on-premises. According to enterprise size, the supply chain analytics market is fragmented into large enterprises and small & medium enterprises. As per industry vertical, it is differentiated into retail & consumer goods, healthcare & pharmaceuticals, manufacturing, food & beverages, transportation & logistics, automotive, and other. Region wise, it is analyzed across North America, Europe, Asia-Pacific, and LAMEA.

KEY BENEFITS FOR STAKEHOLDERS
– The study provides an in-depth analysis of the global supply chain analytics market along with the current & future trends to elucidate the imminent investment pockets.
– Information about key drivers, restrains, and opportunities and their impact analyses on the market size is provided in the report.
– Porter’s five forces analysis illustrates the potency of buyers and suppliers operating in the industry.
– The quantitative analysis of the global supply chain analytics market from 2019 to 2027 is provided to determine the market potential.

KEY MARKET SEGMENTS
By Component
– Software
o Demand Analysis and Forecasting
o provider Performance Analytics
o Spend and Procurement Analytics
o Inventory Analytics
o Transportation and Logistics Analytics
– Services

By Deployment
– On-premise
– Cloud

By Enterprise Size
– Large Enterprises
– Small & Medium Enterprises (SMEs)

SPECIAL OFFER (Avail an Up-to 30% discount on this report- https://reportocean.com/industry-verticals/sample-request?report_id=AMR1330

By Industry Vertical
– Automotive
– Food & Beverages
– Healthcare & Pharmaceuticals
– Manufacturing
– Retail & Consumer Goods
– Transportation & Logistics
– Others

By Region
– North America
o U.S.
o Canada
– Europe
o UK
o Germany
o France
o Rest of Europe
– Asia-Pacific
o China
o India
o Japan
o Australia
o Rest of Asia-Pacific
– LAMEA
o Latin America
o Middle East
o Africa

Table of Content:

  • Market Definition and Overview
  • Research Method and Logic
  • Market Competition Analysis
  • Product and Service Analysis
  • Strategies for Company to Deal with the Impact of COVID-19
  • Market Segment by Type, Historical Data and Market Forecasts
  • Market Segment by Application, Historical Data and Market Forecasts
  • Market by by Region, Historical Data and Market Forecasts
  • Market Dynamic Analysis and Development Suggestions

Key Benefits for Industry Participants & Stakeholders

  • The Market Research allows the investors to understand the market size, dynamics, risks, and opportunities in the industry.
  • The market research report provides market sizing and forecast over major currencies - USD, EUR, JPY, GBP, and CHF.
  • This Market Research Report helps to forecast the revenues and analyze the market trends based on region, product type, and end-use.
  • The Market analysis of the market share of the can prove beneficial in terms of profit to the industry's participants and stakeholders.

Key Questions Answered in the Market Report

  • Which Manufacturing Technology is used for Market? What Developments Are Going on in That Technology?
  • Which Trends Are Causing These Developments? Who Are the Global Key Players in This Market?
  • What are Their Company Profile, Their Product Information, and Contact Information?
  • What Was Global Status of Market? What Was Capacity, Production Value, Cost and PROFIT of Market?
  • What Is Current Market Status of market Industry? What's Market Competition in This Industry, Both Company, and Country Wise?
  • What's Market Analysis of Market by Taking Applications and Types in Consideration?
  • What Are Projections of Global Market Industry Considering Capacity, Production and Production Value? What Will Be the Estimation of Cost and Profit?
  • What Will Be Market Share Report, Supply and Consumption? What about Import and Export?
  • What Is Market Chain Analysis by Upstream Raw Materials and Downstream Industry?

Request full Report: https://reportocean.com/industry-verticals/sample-request?report_id=AMR1330

About Report Ocean:
We are the best market research reports provider in the industry. Report Ocean believes in providing quality reports to clients to meet the top line and bottom line goals which will boost your market share in today's competitive environment. Report Ocean is a 'one-stop solution' for individuals, organizations, and industries that are looking for innovative market research reports.

Get in Touch with Us:
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Email:
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Address: 500 N Michigan Ave, Suite 600, Chicago, Illinois 60611 - UNITED STATES
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Website:https://www.reportocean.com

COMTEX_409961555/2796/2022-07-11T01:49:25

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

Mon, 11 Jul 2022 00:43:00 -0500 en-US text/html https://www.marketwatch.com/press-release/supply-chain-analytics-market-swot-analysis-growth-share-size-and-demand-outlook-by-2030-2022-07-11
Killexams : Law Enforcement Software Market Growing at a CAGR 9.8% | Key Player IBM, Accenture, Motorola Solutions, Axon, and NICE
Law Enforcement Software Market Growing at a CAGR 9.8% | Key Player IBM, Accenture, Motorola Solutions, Axon, and NICE

“Key players such as IBM, Accenture, Motorola Solutions, Axon, and NICE have majorly adopted many growth strategies, such as new product launches, acquisitions, and partnerships, to expand their product portfolios and grow further in the law enforcement software market.”

Law Enforcement Software Market by Component, Solution (Digital Policing, Computer-Aided Dispatch, Jail Management), Service (Consulting, Training and Support, Implementation), Deployment Model (Cloud and On-premises), and Region – Global Forecast to 2026

The global Law Enforcement Software Market size is expected to grow at a Compound Annual Growth Rate (CAGR) of 9.8% during the forecast period, to reach USD 22.1 billion by 2026 from USD 12.6 billion in 2020. Increased demand for law enforcement solutions during COVID 19, rising numbers of crimes, increased focus on community-oriented policing are expected to spur the demand for law enforcement software offerings across the globe.

Download PDF Brochure: https://www.marketsandmarkets.com/pdfdownloadNew.asp?id=8292078

The market is expected to be driven by the increased need to automate processes of law enforcement agencies

The law enforcement software solutions automate repetitive manual processes and workflows. The solutions segment is estimated to account for the largest market size in 2020. In today’s global business environment, the threats against government organizations, public safety agencies, and law enforcement agencies are greater than ever. Due to the increasing severity of crimes, law enforcement agencies need to be empowered with solutions backed with cutting-edge technologies. The increased investments by law enforcement software vendors in AI, ML, analytics, and IoT play an important role in the rise in the adoption of law enforcement solutions. Giants including IBM, Accenture, Axon, and Motorola Solutions are leveraging these technologies to offer better solutions. These solutions have gained traction due to several benefits such as enhanced departmental operations, better compliance, precise results due to automation, and safety towards critical data

 Increased scalability and flexibility  is driving the adoption of cloud-based deployment

Law enforcement agencies are moving from on-premises to cloud deployment, as cloud deployment reduces the overall costs, provides flexibility with advanced technology, offers scalable access to solutions, ensures the enforcement of security compliances, and enhances business efficiency. Law enforcement software solutions can be deployed as a SaaS-based offering, which enables multiple users to gain control of the cloud infrastructure through the internet. It is a standard model that enables service providers to grant public access to resources, such as applications and storage, through the internet. Cloud services may be offered free of cost or on the pay-per-use model, depending on the requirements of the end users. Public cloud is highly adopted among cloud storage providers due to the ease of access and faster deployment. This cloud deployment model offers various benefits to enterprises, such as scalability, reliability, flexibility, and remote location access. Cloud is more preferred by enterprises that have fewer regulatory hurdles and are willing to partially or fully outsource their storage facilities. The major concern with the cloud is data security, due to which many enterprises are shifting to private and hybrid cloud solutions.

Request demo Pages: https://www.marketsandmarkets.com/requestsampleNew.asp?id=8292078

The major players have implemented various growth strategies to expand their global presence and increase their market shares. Key players such as IBM, Accenture, Motorola Solutions, Axon, and NICE have majorly adopted many growth strategies, such as new product launches, acquisitions, and partnerships, to expand their product portfolios and grow further in the law enforcement software market.

IBM has been working extensively toward becoming an exclusive cloud provider. It is one of the major vendors of law enforcement software solutions and services. It primarily intends to Boost the technology usage experience for both personal and commercial clients. With its cloud-based intelligent public safety offerings, IBM enables law enforcement agencies to work with better efficiency. IBM provides analytics for law enforcement solutions that help organizations predict and detect physical and cyber threats. These solutions also help in reducing crimes and improving their response and resource allocation. IBM provides scalable and suitable cloud-based solutions via IBM LEIP for several public safety and law enforcement agencies. The company offers solutions with ease and provides customized solutions to law enforcement agencies as per their requirements. The company is consistently focusing on catering to its customers with highly competent technology-enabled and tailored solutions in the law enforcement software market to hold one of the leading positions. The company is equally focused on organic and inorganic business growth strategies to strengthen its footprint in the law enforcement software market. Under the organic growth strategies, the company introduced the IBM i2 Intelligence Analysis portfolio in December 2020 to offer enhanced analytics to public safety organizations. Under the inorganic growth strategies, IBM chose to adopt partnerships, collaborations, and acquisitions. IBM acquired Expertus Technologies and Spanguo and teamed up with industry giants, such as AWS, Palantir, and Samsung, to offer enhanced solutions and services in the market.

Motorola Solutions is an eminent player in the law enforcement software market, as it provides strong offerings such as solutions, products, and services for law enforcement agencies. The company provides cloud services to law enforcement agencies and public safety companies in the law enforcement software market. These solutions and services have enabled Motorola Solutions to establish long-term relationships with its customers in several industries, including oil and gas, hospitality, and public safety. The company’s solutions are being adopted by public and private agencies across the globe. It is present in more than 100 countries globally. Currently, the company is focusing on providing cost-efficient and customized solutions to various law enforcement agencies. It adopts both organic and inorganic growth strategies to expand its business in the law enforcement software market. Under the organic growth strategies, the company has adopted new product and service launches. In exact times, the company has introduced two new offerings, including video as a service and Firefighter Radio with Broadband Data Applications, to enhance law enforcement. The company has adopted inorganic growth strategies, such as partnerships and acquisitions, under which Motorola Solutions acquired Callyo and Avigilon.

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Killexams : IBM Watson Health’s Dramatic Expansion

Cognitive computing powerhouse IBM Watson Health is adding novel offerings and entering new agreements in an array of healthcare arenas.

This week, IBM Watson Health announced a slew of solutions and partnerships aimed at improving healthcare decision making and delivery. The announcement, which was released during a major gathering for the health IT community--the annual Healthcare Information and Management Systems Society (HIMSS) conference--covers offerings focused on value-based care, medical imaging, and population health.

"Healthcare organizations are operating in a complex and fluctuating business environment, one in which the insights they need to succeed can be hidden amidst an avalanche of disparate and siloed data," Deborah DiSanzo, general manager of IBM Watson Health, said in a press release. She added, "Watson Health's extensive industry expertise informs how we deploy data, cloud, and cognitive computing to help clients make more informed decisions today and understand precisely what their organization should address to achieve their quality care goals and outcomes in a value-based care system."

Among the new products is the IBM Watson Health Value-Based Care solutions. Applications set to be released later in 2017 include solutions that help track and forecast value-based care performance indicators, monitor patient engagement, customize analytics, and tools that can help pinpoint areas of high cost.

IBM also unveiled IBM Watson Imaging Clinical Review, choosing to focus first on aortic stenosis. The offering is designed to alert clinicians to patients who may have aortic stenosis but haven't been identified as a candidate for cardiovascular follow up care, according to a press release. The platform is expected to eventually be expanded to nine more cardiovascular diseases, including cardiomyopathy, deep vein thrombosis, heart attacks, among others.

"Out of the gate, this type of cognitive tool may provide big benefits to hospitals and doctors, providing insights we don't currently have and doing so in a way that fits how we work," Ricard Cury, MD, director of cardiac imaging at Baptist Health of South Florida and chairman and CEO of Radiology Associates of South Florida, said in the release.

Cury's institutions are among the new members of the Watson Health medical imaging collaborative, focused on optimizing the applications of medical imaging. IBM announced in the imaging release that there are now 24 organizations in the collaborative.

Another agreement announced the same day will bring the more than 2000 healthcare providers of the Central New York Care Collaborative (CNYCC) onto a population health platform run on the Watson Health Cloud. The effort aims to cut Medicaid costs and preventable emergency room visits, as well as cut hospital readmissions by 25%, according to a news release.

"Central New York is leading the way for a national movement toward an effective, scalabe patient-centric approach to population health management and value-based care," Anil Jain, MD, FACP, vice president and chief health informatics officer, Value-Based Care at IBM Watson Health, said in the release.

IBM Watson Health also signed on to an agreement with a healthcare organization, Atrius Health. The collaboration will center around more information that can be used to facilitate shared decision making and Boost delivery of patient care in the eastern Massachusetts region covered by the healthcare organization.

"Atrius Health is committed to increasing the joy in the practice of medicine for our clinicians and staff," Steve Strongwater, MD, president and CEO of Atrius Health, said in a news release. "Working with IBM Watson Health offers a unique opportunity to help our Atrius Health clinicians make greater use of the mountains of digitalized information generated daily through our care of patients."

Of course, there's more to these new collaborations than the exciting potential of the technology. Forbes reported recently that a partnership between IBM Watson and MD Anderson has been paused, highlighting the important role that project management and finances--in addition to the technology--play in the success of such a joint effort.

IBM Watson Health already has an impressive list of collaborations under its belt, including with Quest Diagnostics, Medtronic, Johnson & Johnson, and Memorial Sloan Kettering. More partnerships seem likely, as IBM also debuted its Watson Health Consulting Services unit and new features for its Watson Platform for Health Cloud this week. These offerings echo IBM Watson Health's other priorities, with a continued focus on quicker, better insights, improved patient care, and value-based care.

"The launch of the new Watson Health Consulting Services unit is about helping our clients transform healthcare, in quality, improved access, patient satisfaction and lower cost in the cognitive healthcare era," Matt Porta, vice president and partner for IBM Watson Health Consulting Group, said in the release

[Image courtesy of FRANKY242/FREEDIGITALPHOTOS.NET]

Thu, 30 Jun 2022 11:59:00 -0500 en text/html https://www.mddionline.com/digital-health/ibm-watson-healths-dramatic-expansion
Killexams : Video Analytics Market 2022 – Future of Digital Businesses | Untapped Growth Opportunities Analysis Report to 2028

The global video analytics market size was valued at USD 5.32 billion in 2021. The market is projected to grow from USD 6.35 billion in 2022 to USD 28.37 billion by 2029, exhibiting a CAGR of 23.8% during the forecast period.

Report 2022-2029, has been prepared based on an in-depth market analysis with inputs from industry experts. The Video Analytics Market Size study sheds light on the important growth dynamics expected to prevail across the assessment period 2022-2029. It offers valuable information on changing market dynamics, major segments, top investment pockets, and competitive scenario for market players, investors, shareholders, and new entrants The study offers statistics of key segments across prominent geographies, along with a detailed mapping of the global competitive landscape.

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The report covers extensive analysis of the key market players in the market, along with their business overview, expansion plans, and strategies. The key players studied in the report include:

  • Viseum International (Potters Bar, England)
  • AllGoVision (Karnataka, India)
  • Huawei Technologies Co., Ltd. (Shenzhen, China)
  • Agent VI (New York, United States)
  • Gorilla Technology Group (Taipei, Taiwan)
  • Cisco Systems, Inc. (California, United States)
  • IBM Corporation (New York, United States)
  • Kiwisecurity (Vienna, Austria)
  • Axis Communications AB (Lund, Sweden)
  • Robert Bosch GmbH (Stuttgart, Germany)
  • Honeywell International Inc. (Charlotte, United States)
  • Motorola Solutions, Inc. (Avigilon Corporation) (Illinois, United States)
  • ULTINOUS Zrt. (Budapest, Hungary)

Drivers

Expanding Utilization of AI-based Video Analytics by Governments to Feed Market Growth

The proliferation of artificial intelligence (AI) and related technologies in administrative, public safety, and law enforcement domains is emerging as a major driving force for the video analytics market growth. Governments in several countries are actively deploying AI-powered video analytics and facial recognition solutions to conduct efficient surveillance of citizens, public infrastructures and spaces, and Boost the quality of governance. According to the Carnegie Endowment for International Peace’s AI Global Surveillance (AIGS) Index, 75 out of 176 countries worldwide are actively using AI for surveillance activities, including smart policing, facial recognition, and smart city development. The AIGS further reveals that 51% of the liberal advanced democracies and a large chunk of full democracies extensively utilize a wide range of surveillance technologies. Adoption of AI-based video analytics technologies by government agencies will prove highly beneficial for this market in the near future.

Market Segmentation:

By Component

  • Solutions
  • Services
  • Consulting
  • Training and Education
  • Support and Maintenance
  • Professional
  • Managed

By Application

  • Crowd Management
  • Facial Recognition
  • Intrusion Detection
  • License Plate Recognition
  • Motion Detection
  • Others

By End-user

  • BFSI
  • City Surveillance
  • Critical Infrastructure
  • Education
  • Government
  • Retail
  • Transportation
  • Others

By Geography

  • North America (By Component; Application; End-user; and Country)
  • The United States
  • Canada
  • Europe (By Component; Application; End-user; and Country)
  • The United Kingdom

The report provides detailed insights on drivers, restraints, and opportunities to help the market players in devising several growth strategies. The rise in demand for compound semiconductor epitaxial wafer in consumer electronics, the surge in implementation of wafers in the automotive industry, and the increase in use of compound semiconductor wafers photovoltaic, photonics, spintronics, and others are expected to drive the growth of the global compound Video Analytics Market during the forecast period. On the other hand, the extortionate cost of wafer manufacturing is expected to hinder the growth to some extent. However, the increase in popularity of IoT in wafers is expected to create ample opportunities for the industry.

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What’s Included in the Report

  • Global Video Analytics Market in Military and Aerospace Market size and growth projections, 2020- 2029
  • Video Analytics Market in Military and Aerospace Market size, share, and growth projections across regions and countries, 2022- 2029
  • Video Analytics Market in Military and Aerospace market size and CAGR of key products, applications, and end-user verticals, 2022- 2029
  • Short and long term Video Analytics Market in Military and Aerospace Market trends, drivers, restraints, and opportunities
  • Porter’s Five forces analysis
  • Profiles of 5 leading companies in the industry- overview, key strategies, financials, and products
  • Latest market news and developments

The report provides a detailed scenario of the impact of the Covid-19 pandemic on the compound Video Analytics Market globally. The outbreak of COVID-19 has had a negative impact on the growth of the global compound Video Analytics Market, owing to the prevalence of lockdowns in numerous countries across the globe. Lockdowns led to the closure of various electronics manufacturing hubs across the globe, adversely affecting the supply chain of Video Analytics Market. This created a shortage of materials, components, and finished goods. However, the market is expected to recoup soon.

The report offers detailed segmentation of the global compound Video Analytics Market based on type, deposition technology, product, application, and region. These insights are helpful for new as well as existing market players to capitalize on the fastest growing and largest revenue-generating segments to accomplish growth in the future.

Based on product, the power segment generated the highest market share in 2020, garnering more than one-fourth of the global market. The transistor segment, on the other hand, would cite the fastest CAGR during the forecast period.

Product Overview

Management of Video Analytics Market deals with the creation of benefits for the past buying and provides incentives for future buying. The Rewards program provides the customer with strong value, with better customer penetration, cross-sales, and Market. A Market system comprises operational parameters that include; financing options, program design, and transaction types. It also incorporates different value parameters such as redemption thresholds, reimbursement options, and earnings rates. Many organizations concentrate their activities on spending on Market programs. This allows the promotion of brands and continues to attract a new audience. It helps collect more information and insights to develop a more sophisticated customer profile. For the reason of its influence on the brand value and the capability of Video Analytics Market programs to sustain and attract potential customers, Market management is a key part of the seller strategy.

An in-depth qualitative and quantitative research of the global Video Analytics Market has been undertaken in this report. The study reckons various important aspects of the market by focusing on the historical and forecast data. Information pertaining to SWOT analysis as well as Porter’s five force model analysis has been encompassed in the report.

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Table of Contents

Detailed TOC of Video Analytics Market Development Strategy Pre and Post COVID-19, by Corporate Strategy Analysis, Landscape, Type, Application, and Leading Countries
1 Market Overview
1.1 Product Definition and Market Characteristics
1.2 Global Video Analytics Market Size
1.3 Market Segmentation
1.4 Global Macroeconomic Analysis
1.5 SWOT Analysis
2. Market Dynamics
2.1 Market Drivers
2.2 Market Constraints and Challenges
2.3 Emerging Market Trends
2.4 Impact of COVID-19
2.4.1 Short-term Impact
2.4.2 Long-term Impact
3 Associated Industry Assessment
3.1 Supply Chain Analysis
3.2 Industry Active Participants
3.2.1 Suppliers of Raw Materials
3.2.2 Key Distributors/Retailers
3.3 Alternative Analysis
3.4 The Impact of Covid-19 From the Perspective of Industry Chain
4 Market Competitive Landscape
4.1 Industry Leading Players
4.2 Industry News
4.2.1 Key Product Launch News
4.2.2 M and A and Expansion Plans
5 Analysis of Leading Companies
6 Market Analysis and Forecast, By Product Types
6.1 Global Video Analytics Market Sales, Revenue and Share by Types(2017-2022)
6.1.1 Global Video Analytics Market Sales and Share by Types(2017-2022)
6.1.2 Global Video Analytics Market Revenue and Share by Types (2017-2022)
6.1.3 Global Video Analytics Market Price by Types (2017-2022)
6.2 Global Market Forecast by Types (2017-2022)
6.2.1 Global Market Forecast Sales and Market Share by Types(2022-2029)
6.2.2 Global Video Analytics Market Forecast Revenue and Share by Types(2022-2029)
6.3 Global Sales, Price and Growth Rate by Types(2017-2022)
7 Market Analysis and Forecast, By Applications
7.1 Global Video Analytics Market Sales, Revenue and Share by Applications(2017-2022)
7.1.1 Global Video Analytics Market Sales and Share by Applications(2017-2022)
7.1.2 Global Video Analytics Market Revenue and Share by Applications(2017-2022)
8 Market Analysis and Forecast, By Regions
8.1 Global Video Analytics Market Sales by Regions(2017-2022)
8.2 Global Video Analytics Market Market Revenue by Regions(2017-2022)
8.3 Global Video Analytics Market Market Forecast by Regions(2022-2029)

……Continued

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Wed, 13 Jul 2022 22:26:00 -0500 TheExpressWire en-US text/html https://www.digitaljournal.com/pr/video-analytics-market-2022-future-of-digital-businesses-untapped-growth-opportunities-analysis-report-to-2028
Killexams : Global Cloud Computing Market Report to 2028 - Featuring Accenture, Adobe, IBM and Intel Among Others - ResearchAndMarkets.com No result found, try new keyword!The Global Cloud Computing Market was valued at USD 442.89 Billion in 2021, and it is expected to reach a value of USD 1369.50 Billion by 2028, at a CAGR of more than 17.50% over the forecast period ... Wed, 13 Jul 2022 22:38:00 -0500 https://finance.dailyherald.com/dailyherald/article/bizwire-2022-7-14-global-cloud-computing-market-report-to-2028-featuring-accenture-adobe-ibm-and-intel-among-others-researchandmarketscom Killexams : The Global Edge Analytics Market size is expected to reach $28.3 billion by 2028, rising at a market growth of 24.8% CAGR during the forecast period

New York, July 04, 2022 (GLOBE NEWSWIRE) -- Reportlinker.com announces the release of the report "Global Edge Analytics Market Size, Share & Industry Trends Analysis Report By Component, By Type, By Organization Size, By Vertical, By Regional Outlook and Forecast, 2022 – 2028" - https://www.reportlinker.com/p06289238/?utm_source=GNW
Edge analytics is growing at a rapid pace around the world, owing to continuous developments in workplace performance enhancements and increased usage of the internet of things (IoT), all of which are propelling the edge analytics market forward. Additionally, its unique qualities, such as cost optimization and scalability, are propelling the industry forward.

Edge analytics is a method of data collecting and analysis in which an automated analytical calculation is done on data at the edge of a node, network switch, or any other network endpoint instead of waiting for data to be sent back to a centralized data repository. The edge analytics market is estimated to grow rapidly in the next few years, owing to increased internet and cloud penetration. Furthermore, increased demand for automation will have a positive impact on market growth. Increased network node efficiency is expected to provide lucrative prospects for the growth of the edge analytics market.

Edge analytics uses advanced analytics and machine learning at the site of data collection to help firms get more advanced data faster. It also increases yields, increases throughput, decreases downtime and improves efficiency. Because of the development and rapid spread of the Internet of Things (IoT) and the rapid growth in the availability of data through linked devices and real-time intelligence, it is becoming increasingly popular.

COVID-19 Impact Analysis

COVID-19 has put a lot of pressure on governments across the world. The virus has had drastic effects on the health of the populace and has led to millions of deaths. The lockdowns issued by the government to curb the spread of the virus led to industries being closed down and supply chain troubles. Since edge analytics are widely deployed in the retail sector and this was among the most heavily affected sectors due to the lockdowns, the edge analytics market was severely affected.

Market Growth Factors

Adoption Of Connected Devices And Surge In Demand For Prescriptive Analysis

Through the effective integration of data received from connected devices and networking equipment for increased real-time event analysis, organizations all over the world have focused on enhancing productivity and decreasing the maintenance of analytics systems. The market for data edge analytics solutions is expected to expand at a healthy rate throughout the forecast period, due to an increase in demand for real-time monitoring and prescriptive analytical modeling. This contributes to the growth of the edge analytics industry.

Edge Analytics Leads To Lowest Possible Latency

Edge analytics' main benefit is that it reduces latency and, as a result, improves overall system performance. Furthermore, it enables users to respond to certain data points more quickly, such as shutting down an overheating jet engine, without needing to check in with a central procedure. Since data is calculated at the edge, it allows application developers to make use of local compute cycles, without incurring network latency. This allows developers to access data in real-time, rather than waiting for it to be uploaded to the cloud, for applications like predictive maintenance, machine learning, and OT management.

Market Restraining Factors

Loss Of Raw Data

The increased efficiency comes provided by edge analytics comes at a price. Only a small portion of the data will be processed and evaluated, with the results being sent via the internet. This essentially implies that raw data is eliminated, which means that some insights that could have been gained are lost. It's important to think about the sort of device and how the data will be used. A retailer may determine that improving data efficiency is more important than sacrificing theoretical data insights, but an aircraft cannot make the same decision. Even if it is more inconvenient, collecting all raw data and analyzing it off-site is still the preferred strategy when safety is a concern.

Component Outlook

Based on components, the edge analytics market is divided into Solution and Service. The services segment garnered a significant revenue share in the edge analytics market in 2021. The edge analytics services enable users to manage their edge computing facilities remotely using Cloud Pak for Data. With Edge Analytics, business applications may be brought closer to data sources like IoT devices or local edge servers, resulting in faster insights, faster response times, and more bandwidth availability.

Type Outlook

Based on Type, the market is segmented into Descriptive, Predictive, and Prescriptive. The descriptive analytics segment acquired the largest revenue share in the edge analytics market in 2021. Descriptive analytics is concerned with what happened. It is the practice of identifying trends and relationships using current and historical data. Since it describes associations and trends but does not delve deeper, it is sometimes referred to as the simplest kind of data analysis.

Organization Size Outlook

Based on organization size, the edge analytics market is bifurcated into large enterprises and small and medium enterprises. The small and medium enterprises segment procured a substantial revenue share in the edge analytics market in 2021. Edge analytics' adaptability and versatility make it incredibly flexible and thus make it apt for small and medium enterprises. Business initiatives can now quickly settle on appropriate markets without needing to invest in costly infrastructure development by collaborating and associating with local edge data centers. Edge data centers enable them to provide competent service to end users with little latency.

Verticals Outlook

Based on verticals, the edge analytics market is classified into Retail, E-Commerce and Consumer Electronics, Energy and Utilities, Healthcare & Life Sciences, Transportation and Logistics, IT and Telecom, Manufacturing, and Others. The IT & telecom segment acquired the largest revenue share in the edge analytics market in 2021. In telecom, edge analytics provides execution resources (compute and storage) for applications with networking close to end-users, often within or at the edge of operator networks. The cloud architecture is well-suited to the needs of today's IT environment. Edge analytics has evolved as a modern, more viable, and crucial architecture, given the profusion of physical devices employed in today's IT world. Rather than storing all data in the cloud, edge analytics allows storage capacity to be deployed closer to the device's genuine location.

Regional Outlook

Region-wise, the edge analytics market is analyzed across North America, Europe, Asia Pacific, and LAMEA. North America acquired the largest revenue share in the edge analytics market in 2021. The demand for prescriptive analytics is growing, and the adoption of edge analytics solutions is increasing. Many American like Amazon Web Services, Intel, Microsoft, Oracle, etc., offer edge analytics solutions. Major companies like Apple have acquired companies that provide edge analytics solutions.

The major strategies followed by the market participants are Partnerships. Based on the Analysis presented in the Cardinal matrix; Microsoft Corporation are the forerunners in the Edge Analytics Market. Companies such as Cisco Systems, Inc., IBM Corporation, Intel Corporation are some of the key innovators in Edge Analytics Market.

The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include IBM Corporation, Cisco Systems, Inc., Intel Corporation, Oracle Corporation, Microsoft Corporation, Dell Technologies, Inc., Hewlett-Packard Enterprise Company, Equinix, Inc., Greenwave Systems, Inc., and Iguazio Ltd.

Recent Strategies Deployed in Edge Analytics Market

Partnerships, Collaborations, and Agreements

Jan-2022: Equinix formed a partnership with Nasdaq, an American stock exchange based in New York City. Under the multi-year partnership, both companies aimed to scale the Equinix NY11 data center in Carteret, New Jersey to enable the build-out of Nasdaq's cloud infrastructure. The partnership was intended to take Nasdaq closer to shifting its markets to the cloud. Equinox would help Nasdaq meet existing and future infrastructure requirements, while accelerating its cloud transformation at a global scale.

Apr-2022: Hewlett Packard Enterprise teamed up with Maxis, one of Malaysia's largest telecom providers. Through the collaboration, both companies aimed to create the country's first multi-access edge computing (MEC) solution for enterprises. This will make MEC solutions especially attractive to businesses operating time-critical edge applications such as data analytics, artificial intelligence, automation, and machine learning. MEC can minimize connectivity problems and reduce data storage costs by enhancing efficiency and accuracy in real-time.

Apr-2022: Cisco formed a partnership with NetApp, a global, cloud-led, data-centric software company. NetApp partnered with Cisco to launch with FlexPod XCS, the evolution of FlexPod providing one automated platform for modern applications, data and hybrid cloud services. FlexPod XCS fueled by Cisco Intersight provides important new capabilities for the customers like automation, visibility, and hybrid cloud operations into a single unified platform for modern apps, data, and hybrid cloud services.

Oct-2021: IBM teamed up with Boston Dynamics, a USA-based engineering and robotics design multinational company. Under the collaboration, both companies focused on providing data analysis at the edge to assist industrial companies to enhance the safety of workers, optimize field operations, and push maintenance productivity in environments like power plants, manufacturing facilities, warehouses, and more.

Aug-2021: Equinix entered into a partnership with IBM, an IT technology and consulting firm providing computer hardware, software, infrastructure, and hosting services. Under the collaboration, both companies aimed to assist with the merger of multiple cloud solutions in hybrid cloud environments. After the partnership, customers could then access IBM Cloud services from their digital infrastructures on Platform Equinix worldwide via direct and secure interconnection of hybrid IT infrastructures.

Jul-2021: IBM joined hands with Scale Computing, a dominant player in the edge computing, virtualization, and hyperconverged solutions market. Under the collaboration, both companies helped organizations embrace an edge computing strategy developed to empower them to move data and applications smoothly across hybrid cloud environments, from private data centers to the edge.

Jul-2021: Microsoft entered into a partnership with Lanner Electronics, a global leader in the development and manufacturing of intelligent edge computing appliances. Under the partnership, Microsoft Azure and Lanner Electronics launched Edge-to-Cloud AI Solution, integrating Lanner AI accelerated intelligent edge appliance with Azure IoT edge module, runtime, and cloud interface. Lanner Edge AI appliances utilized the Azure IoT edge capability to execute the AI inference model. Lanner Edge AI appliances simplify AI deployments at the edge, decreasing communications latency and improving workload optimization.

Mar-2021: Oracle, formed a partnership with Red Bull Racing an American computer technology company. The partnership made Oracle Red Bull Racing's official cloud infrastructure partner. Red Bull leveraged the machine learning and data analytics capabilities of Oracle Cloud Infrastructure (OCI) to optimize the way data is used across its business; from on-track activities to putting more information in the hands of the Team's global fan base.

Oct-2020: IBM entered into a partnership with ClearBlade, an edge computing Software Company that enables enterprises to rapidly engineer and run secure, real-time, scalable IoT applications. Under the partnership, both companies aimed to provide autonomous edge computing and IoT solutions. The partnership was developed to enable businesses to rapidly deploy, process, store, and analyze data at the edge, unlocking their full potential to digitally transform.

Jul-2020: IBM teamed up with Verizon Business, a company that provides technology, information, communications, and entertainment products. Under the collaboration, both companies cooperated on 5G and edge computing innovation to realize the future of Industry 4.0. Both companies planned to utilize Verizon's wireless networks, including Verizon's 5G Ultra Wideband (UWB) network, and Multi-access Edge Computing (MEC) capabilities, together with Verizon's ThingSpace IoT Platform and Critical Asset Sensor solution (CAS).

Jun-2020: Microsoft formed a partnership with SAS, a leading company developing business analytics software and services. Under the partnership, both companies aimed to allow customers to easily run their SAS workloads in the cloud, increasing their business solutions and unlocking critical value from their digital transformation initiatives. As per the partnership, the companies migrated SAS' analytical products and industry solutions onto Microsoft Azure as the chosen provider for the SAS Cloud.

May-2020: IBM joined hands with NVIDIA, a dominant company in Artificial Intelligence hardware & software from edge to cloud computing. Under the collaboration, both companies aimed to quicken analytics and implement applications at the edge. The combination offered world-class software management on the most powerful offering for accelerated computing and AI.

Product Launches and Product Expansions

Apr-2022: Dell Technologies expanded its edge solutions product line. The expansions assisted retailers in quickly generating more value and offering improved customer experiences from data generated in retail locations.

Sep-2021: Hewlett Packard Enterprise expanded its product line by releasing a sweeping series of new cloud services for the HPE GreenLake edge-to-cloud platform. These services deliver customers unrivaled capabilities to power digital transformation for their applications and data. The release announced HPE's entry into two large, high-growth software markets – data protection and unified analytics. These innovations accelerated HPE's transition to a cloud services company, and gave customers more options and freedom for their business and IT strategy, with an open and modern platform that offers a cloud experience everywhere.

May-2021: Dell technologies released Apex as-a-service solution, a product that delivers cloud services for a range of data and workload requirements. The product was launched to fulfill the demand for real-time data analytics on multi-cloud platforms and automated technology infrastructure.

Arp-2021: Intel released its 3rd Gen Intel Xeon Scalable processors, the most advanced, highest performance data center platform. These are optimized to power the industry's broadest range of workloads - from the cloud to the network to the intelligent edge. These processors are the foundation of Intel's data center platform, allowing customers to benefit from some of the most substantial business opportunities by utilizing the power of AI.

Feb-2021: Oracle expanded its product line with the release of Oracle Roving Edge Infrastructure. Oracle Roving Edge Infrastructure is part of Oracle's hybrid cloud portfolio. It delivers key infrastructure services to the edge with Roving Edge Devices (REDs)—ruggedized, portable, scalable server nodes. Oracle Roving Edge Infrastructure enables organizations using it to run cloud workloads wherever they need them, even in the world's most remote locations.

Feb-2021: Oracle released Oracle RED, a portable high-powered server. The appliance permits organizations to take benefits of the Oracle Cloud to develop and run edge data centers in remote or rugged locations. The Roving Edge Device enables enterprises and government agencies to take their applications and data in the Oracle Cloud Infrastructure (OCI) and safely deploy them at edge locations, such as military planes, oil tankers, or a polar observatory.

Jul-2020: Hewlett Packard Enterprise launched HPE Ezmeral, a new brand and software portfolio developed to assist businesses to accelerate digital transformation across their organization, from edge to cloud. HPE Ezmeral spans a portfolio including container orchestration and management, AI/ML and data analytics to cost control, IT automation and AI-driven operations, and security.

Feb-2020: Oracle released the Oracle Cloud Data Science Platform, a fully managed and serverless platform. At the core of the platform is Oracle Cloud Infrastructure Data Science, which enables enterprises to collaboratively build, train, manage and deploy machine learning models to Boost the success rate of data science projects.

Acquisitions and Mergers

Mar-2022: Intel Corporation completed the acquisition of Granulate Cloud Solutions, an Israel-based developer of real-time continuous optimization software. The acquisition of Granulate would aid cloud and data center customers to maximize compute workload performance and decrease infrastructure and cloud costs.

Jul-2021: Hewlett-Packard Enterprise completed the acquisition of Teradici Corporation, a global innovator in remote computing software that allows users to securely access high-performance computing from any PC, Chromebook, or tablet. The acquisition enhanced HP's capabilities in the Personal Systems category by offering new compute models and services tailored for hybrid work.

Jun-2020: Microsoft completed the acquisition of ADRM Software, a company offering large-scale industry data models that are utilized by big companies worldwide as information blueprints. ADRM's vigorous industry data models were created and refined over decades for business-critical analytics. After the acquisition, Microsoft integrated comprehensive industry models from ADRM with limitless storage and computing from Microsoft Azure. This enabled the development of the intelligent data lake where data from multiple lines of business can be harmonized together more quickly.

Jan-2020: Equinix acquired Packet, a leading bare metal automation platform. Equinix aimed to develop advanced solutions for businesses to quickly deploy digital infrastructure at a global scale with differentiated performance and robust integration to the public cloud, by using Packet's innovative and developer-oriented bare metal service

Scope of the Study

Market Segments covered in the Report:

By Component

• Solution

• Services

By Type

• Descriptive

• Predictive

• Prescriptive

By Organization Size

• Large Enterprises

• Small & Medium Enterprises

By Vertical

• IT & Telecom

• Energy & Utilities

• Retail, E-Commerce & Consumer Electronics

• Logistics & Transportation

• Healthcare & Life Sciences

• Manufacturing

• Others

By Geography

• North America

o US

o Canada

o Mexico

o Rest of North America

• Europe

o Germany

o UK

o France

o Russia

o Spain

o Italy

o Rest of Europe

• Asia Pacific

o China

o Japan

o India

o South Korea

o Singapore

o Malaysia

o Rest of Asia Pacific

• LAMEA

o Brazil

o Argentina

o UAE

o Saudi Arabia

o South Africa

o Nigeria

o Rest of LAMEA

Companies Profiled

• IBM Corporation

• Cisco Systems, Inc.

• Intel Corporation

• Oracle Corporation

• Microsoft Corporation

• Dell Technologies, Inc.

• Hewlett-Packard Enterprise Company

• Equinix, Inc.

• Greenwave Systems, Inc.

• Iguazio Ltd.

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