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Content provided by IBM and TNW. 

When Hurricane Harvey struck southeast Texas in 2017, it caused $125 billion in economic damages. A recent assessment of local businesses in the area found that 90% lost revenue in the five figure range due to employee disruptions, lower customer demand, utility outages, and/or supply chain issues. Those that suffered property damage experienced compounded losses with parts of the business being shuttered for weeks and months at a time until repairs could be made.

Since 2017 there’s been an average of 17.8 weather/climate disaster events per year in the US alone. In fact, just in 2022, there have been 9 weather/climate disaster events with losses exceeding $1 billion each.

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Rising temperatures, floods, droughts, wildfires and other offshoots of climate change present major challenges to economies and communities around the world. As a result, businesses are feeling the pressure to adopt new strategies to reduce their carbon footprint in the long term. But many have yet to prepare themselves for the impact that climate change can and will have on their operations.

Many companies are already feeling the heat, experiencing climate-related damage to their assets, and disruptions to supply chains. According to a accurate report from the World Economic Forum, global heat waves and other extreme weather conditions could also cause a spike in the cost of raw materials for production, which would inevitably present huge revenue losses across sectors.

With such a high risk the question is, why have so few businesses prepared for the potential effects of climate change?

The complicated world of climate data

While an overwhelming majority of businesses have plans in place for cyberattacks and Covid-19, the World Economic Forum’s Global Risks Report 2021 found that extreme weather, climate action failure, and human-led environmental damage are in fact the top three most likely risks for businesses over the next ten years. Yet, many still don’t have clear strategies and risk analyses in place to guide decision-making.

“One of the major challenges for general business operations is that companies are still getting familiar with the many variables involved in collecting climate data,” says Miguel Modestino, an Associate Professor and Director of the Sustainable Engineering Initiative at New York University’s Tandon School of Engineering.

Indeed, tracking climate data requires historical weather data, sensors, intensive manual labor, computing power, as well as internal climate and data science skills. Even if you can capture this data, the problem then lies in being able to combine and compare all of the different variables to create one big picture of what’s happening on the ground.

Geospatial analysis is key to unlocking the potential of climate data.

According to Hendrik Hamann, Chief Scientist for Future of Climate at IBM:

In order to understand the economic damage of a flood, for example, one has to combine flood risk information with road and elevation information, or many other sets of information in order to understand its overall impact on business.

Once you capture climate data, the next challenge lies in understanding how to extract valuable insights from this information and how to actually apply them to business operations.

An EY study found that only 41% of organizations conduct scenario analysis of climate-related risks. This means that, in the increasingly likely event that a weather-related disaster does occur, many organizations don’t have a clear picture of what the potential risks, costs, and action plan would be. Without this understanding, prevention measures, budgeting, and other essential decision-making becomes a guessing game for business leaders who need to present this information to investors and other stakeholders.

“We’re sitting on this mountain of information, yet we’re only looking at the tip of the iceberg. There’s all of this high value data out there including observations about our planet Earth, but we’re not taking advantage of that to make better decisions,” Hamann explains.

Curbing climate impact with new tech

Geospatial analysis is key to unlocking the potential of climate data – but these insights are based on massive amounts of complex and disparate data types, including satellite, GPS, and historical weather data and imagery. The use of AI and machine learning holds great potential for helping businesses access and analyze these datasets in a way that is more manageable.

“With AI, companies can also develop advanced models that use machine learning to really quickly calculate the environmental impact of a particular set of business operations,” Modestino explains. “Having efficient machine learning models can help optimize their operations to maximize profit while maintaining a particular climate target.”

IBM recently launched its Environmental Intelligence Suite (EIS) which brings together a wide variety of weather, climate, AI and operational technologies into a single software as a service offering that companies can use to better plan for and respond to climate risks.

Map out the potential risks across your business’ operations.

A unique capability within this suite is a geospatial analytics engine developed within IBM Research, which helps provide insights on complex geospatial datasets in a way that can be more easily accessed and combined with broader business technologies and data. This can help companies efficiently understand and analyze geospatial data to predict the risk and potential impact of upcoming climate and weather threats to their business.

“When we think about satellite observations of the earth, we think, ‘how can it be analyzed?’, or ‘how can we understand natural phenomena like tree growth, vegetation growth and how much carbon is being stored in it,” Hamann says. “This is all covered by geospatial analytics.”

For instance, where a utility company has tens of thousands of substations which are used to supply electricity to customers, climate impact might deliver rise to the following questions: Which of our asset locations are at the biggest risk? How can those sites be prepared to withstand the impact? How will investments be allocated? The ability to analyze geospatial data keeps companies informed about potential risks and prioritizes them while making actionable business decisions.

How to get started

It’s clear that developing clear strategies for extreme weather and climate change is no longer just for a rainy day. They will become key to enabling businesses to function, operate, and even grow.

The first step is to map out the potential risks across your business’ operations, from resource scarcity to the potential for logistics disruptions.

The next step is to consider the potential opportunities. How might changing your sourcing/production/distribution strategies lower your risk for climate change disruptions and boost your bottom line? How might these changes also contribute to your company’s longer-term sustainability strategies?

As it continues to affect populations all over the world, it’s also becoming increasingly clear that a warming planet poses a looming threat to business operations. Advanced technologies and methods, like geospatial analysis, are still in early stages and therefore we expect to see a lot more room for innovation in the coming years.

Tue, 04 Oct 2022 20:48:00 -0500 en text/html https://thenextweb.com/news/climate-risks-major-business-threat-how-ai-can-help
Killexams : IBM Study: Supply Chain Leaders Are Investing in AI and Automation to Navigate Supply Chain Uncertainties and Boost Sustainability
  • Almost half (47%) of surveyed CSCOs said they have introduced new automation technologies in the last two years.

  • Surveyed CSCOs ranked sustainability as their third biggest challenge in the next few years, trailing only supply chain disruptions and technology infrastructure.

  • "The Innovators" are modernizing their technology infrastructure – 56% of those respondents are currently operating on hybrid cloud, and 60% are investing in digital infrastructure to scale and deliver value.

ARMONK, N.Y., Sept. 20, 2022 /CNW/ -- A new IBM (NYSE: IBM) Institute for Business Value (IBV) study "Own Your Transformation" unveils how Chief Supply Chain Officers (CSCOs) are navigating significant supply chain challenges brought on by a global COVID-19 pandemic, inflation, climate change and geopolitical events, and how they plan to future-proof their supply chains.

The survey* of 1,500 CSCOs and Chief Operating Officers (COOs) reveals that they are increasing investments in automation, AI and intelligent workflows, ecosystems and sustainability, and are reimagining their supply chain operations.

"To effectively combat the unprecedented supply chain stressors like inflation, it's imperative that CSCOs focus on using analytics, AI and automation initiatives to build intelligent, resilient, and sustainable supply chains," said Jonathan Wright, IBM Consulting Global Managing Partner, Sustainability Services and Global Business Transformation. "Automation and AI can enable CSCOs and their organizations to collect data, identify risk, validate documentation, and provide audit trails, even in high inflationary periods, while also managing their carbon, waste, energy and water consumption."

Key study findings show that:

CSCOs are embracing AI and automation technologies to provide interconnectivity with partners and suppliers and to enable sustainable operations and predictability.

  • Almost half (47%) of surveyed CSCOs said they have introduced new automation technologies in the last two years—an approach that can add predictability, flexibility, and intelligence to supply chain operations, and they're using AI to help monitor and track performance.

Sustainability is both a challenge and a force for change.

  • Surveyed CSCOs rank sustainability as their third biggest challenge in the next few years, trailing only supply chain disruptions and technology infrastructure.

  • 52% place sustainability at or near the top of their priority list.

  • 50% report that their sustainability investments will accelerate business growth.

  • They tell us that they experience the most direct pressure for sustainability transparency from: investors (56%), board members (50%) and customers (50%).

"The Innovators": 20% of respondents stand apart for accelerating their data-led innovation to prepare for a precarious future, and this group is already outperforming peers on key metrics including reporting 11% higher annual revenue growth. They are:

  • Integrating automated workflows across organizational functions and with their partners for real-time visibility, insights, and action (95% more than other CSCOs).

  • Modernizing their technology infrastructure – 56% are currently operating on hybrid cloud, and 60% are investing in digital infrastructure to scale and deliver value.

  • Extending their sustainability initiatives, creating new products and services. 58% see opportunities to Boost customer engagement through sustainability imperatives.

  • Focusing deeper on cybersecurity (nearly 20% more than other CSCOs).

The full study is available at: 
https://www.ibm.com/thought-leadership/institute-business-value/c-suite-study/csco

*Methodology
In cooperation with Oxford Economics, the IBM Institute for Business Value surveyed 1,500 CSCOs and COOs from 35+ countries and 24 industries as part of the 26th edition of the IBM C-suite Study series. To simplify, we refer to the full population as CSCOs.

About the IBM Institute for Business Value 
For two decades, the IBM Institute for Business Value has served as the thought leadership think tank for IBM. What inspires us is producing research-backed, technology-informed strategic insights that help leaders make smarter business decisions. From our unique position at the intersection of business, technology, and society, we survey, interview, and engage with thousands of executives, consumers, and experts each year, synthesizing their perspectives into credible, inspiring, and actionable insights. To stay connected and informed, sign up to receive IBV's email newsletter at ibm.com/ibv. You can also follow @IBMIBV on Twitter or find us on LinkedIn at https://www.linkedin.com/showcase/ibm-institute-for-business-value/

Media Contact
Tricia Vuiton
IBM External Relations
Email: tavuiton@us.ibm.com
Phone: +1 (845) 490-7582

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Mon, 19 Sep 2022 22:01:00 -0500 en-US text/html https://www.yahoo.com/now/ibm-study-supply-chain-leaders-100000598.html
Killexams : Healthcare Operational Analytics Market Expected to rise Significantly| IBM, Cerner, Oracle

Healthcare Operational Analytics

The latest release from WMR titled Healthcare Operational Analytics Market Research Report 2022-2029 contains all relevant information and Growth Factors. Providing its clients with accurate data, it provides the market outlook and helps in the making of crucial decisions. The market is described in general terms, along with its definition, uses, advancements, and production technology. This market research report on Healthcare Operational Analytics keeps tabs on all emerging advancements and changes in the industry. It provides information on the challenges faced when starting a business and offers advice on how to deal with impending difficulties. Healthcare Operational Analytics Market Research with 100+ market data Tables, Pie Chat, Graphs & Figures is now released BY WMR.

Ask For demo Report: https://www.worldwidemarketreports.com/sample/817083

The research offers a thorough analysis of the market, taking into consideration important factors including projected sales, cost analysis, import/export, production and consumption trends, CAGR, gross margin, and supply and demand trends. Additionally, it highlights current technological improvements, product innovations, and R&D initiatives in the area.

Analysis By Key Players:

◘ IBM
◘ Cerner
◘ Oracle
◘ McKesson
◘ MedeAnalytics
◘ Optum
◘ Allscripts
◘ Truven Health Analytics
◘ Verisk Analytics
◘ Vizient

Analysis By Type

◘ Supply chain analytics
◘ Human resource analytics
◘ Strategic analytics

Analysis By Application

◘ Healthcare
◘ Pharmaceuticals
◘ Biotechnology
◘ Research

Market Scenario:

The Healthcare Operational Analytics research report provides an overview of the market, covering definition, applications, product launches, developments, challenges, and geographical regions. Forecasts indicate that the industry will demonstrate high growth due to increased demand in many markets. The Healthcare Operational Analytics study offers an analysis of the market designs currently in use as well as other fundamental aspects.

If you have any queries related to the Healthcare Operational Analytics market report, you can ask our expert: https://www.worldwidemarketreports.com/quiry/817083

𝐓𝐡𝐢𝐬 𝐫𝐞𝐩𝐨𝐫𝐭 𝐚𝐢𝐦𝐬 𝐭𝐨 𝐩𝐫𝐨𝐯𝐢𝐝𝐞:

📌 An examination of the dynamics, trends, and projections for the years 2022 through 2029, both qualitatively and quantitatively.
📌 The ability of the customers and suppliers to make financially advantageous decisions and expand their businesses is explained by the use of analysis techniques like SWOT analysis and Porter’s five force analysis.
📌 The detailed research of market segmentation helps in identifying the current market opportunities.
📌 By collecting unbiased information under one roof, our Healthcare Operational Analytics report ultimately helps you save time and money.

𝐑𝐞𝐠𝐢𝐨𝐧-𝐖𝐢𝐬𝐞 𝐂𝐥𝐚𝐬𝐬𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐨𝐟 𝐭𝐡𝐞 Healthcare Operational Analytics Market:

◘ The Middle East and Africa (Turkey, GCC Countries, Egypt, South Africa)

◘ North America (United States, Mexico, and Canada)

◘ South America (Brazil etc.)

◘ Europe (Germany, Russia, UK, Italy, France, etc.)

◘ Asia-Pacific (Vietnam, China, Malaysia, Japan, Philippines, Korea, Thailand, India, Indonesia, and Australia)

👉 𝐊𝐞𝐲 𝐈𝐧𝐝𝐢𝐜𝐚𝐭𝐨𝐫𝐬 𝐀𝐧𝐚𝐥𝐲𝐬𝐞𝐝

Market Players & Competitor Analysis: The report covers the key players of the industry including Company Profile, Product Specifications, Production Capacity/Sales, Revenue, Price, and Gross Margin & Sales with a thorough analysis of the market’s competitive landscape and detailed information on vendors and comprehensive details of factors that will challenge the growth of major market vendors.

👉 𝐑𝐞𝐠𝐢𝐨𝐧𝐚𝐥 𝐌𝐚𝐫𝐤𝐞𝐭 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬:
 The report includes the & Regional market status and outlook Further the report provides breakdown details about each region & country covered in the report. Identifying its sales, sales volume & revenue forecast. With detailed analysis by types and applications.

👉 𝐌𝐚𝐫𝐤𝐞𝐭 𝐓𝐫𝐞𝐧𝐝𝐬:
 Market key trends include Increased Competition and Continuous Innovations.

👉 𝐎𝐩𝐩𝐨𝐫𝐭𝐮𝐧𝐢𝐭𝐢𝐞𝐬 𝐚𝐧𝐝 𝐃𝐫𝐢𝐯𝐞𝐫𝐬:
Identifying the Growing Demands and New Technology

👉 𝐏𝐨𝐫𝐭𝐞𝐫’𝐬 𝐅𝐢𝐯𝐞 𝐅𝐨𝐫𝐜𝐞 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬:
 The report provides the state of competition in the industry depends on five basic forces: the threat of new entrants, the bargaining power of suppliers, the bargaining power of buyers, the threat of substitute products or services, and existing industry rivalry.

Healthcare Operational Analytics Market 𝐓𝐚𝐛𝐥𝐞 𝐎𝐟 𝐂𝐨𝐧𝐭𝐞𝐧𝐭:

1. Healthcare Operational Analytics Market Introduction
1.1.Definition
1.2.Research Scope

2. Executive Summary
2.1.Key Findings by Major Segments
2.2.Top strategies by Major Players

3. Global Healthcare Operational Analytics Market Overview
3.1.Healthcare Operational Analytics Market Dynamics
3.1.1.Drivers
3.1.2.Opportunities
3.1.3.Restraints
3.1.4.Challenges
3.2.COVID-19 Impact Analysis in Global Healthcare Operational Analytics Market
3.3.PESTLE Analysis
3.4.Opportunity Map Analysis
3.5.PORTER’S Five Forces Analysis
3.6.Market Competition Scenario Analysis
3.7.Product Life Cycle Analysis
3.8.Manufacturer Intensity Map
3.9.Major Companies sales by Value & Volume

𝐂𝐨𝐧𝐭𝐢𝐧𝐮𝐞…

𝐓𝐡𝐞 𝐟𝐨𝐥𝐥𝐨𝐰𝐢𝐧𝐠 𝐚𝐫𝐞 𝐭𝐡𝐞 𝐩𝐫𝐢𝐦𝐚𝐫𝐲 𝐫𝐞𝐚𝐬𝐨𝐧𝐬 𝐭𝐨 𝐩𝐮𝐫𝐜𝐡𝐚𝐬𝐞 𝐭𝐡𝐞 Healthcare Operational Analytics Market report:

📌  The global Healthcare Operational Analytics market research analysis provides exact and thorough insightful insights on industry trends, allowing businesses to make useful and smart decisions to gain a competitive advantage over the competition.
📌 It provides a complete analysis of the Healthcare Operational Analytics market as well as the most accurate rising industry trends in the global Healthcare Operational Analytics market.
📌 The global Healthcare Operational Analytics market is comprised of valuable suppliers, industry trends, and massive movement in demand from 2022 to 2029.

𝐂𝐨𝐧𝐜𝐥𝐮𝐬𝐢𝐨𝐧

Finally, the global Healthcare Operational Analytics market report provides a systematic and descriptive analysis of the Healthcare Operational Analytics market, supported by historical and current information of key players and vendors, and all of the factors mentioned above, as well as potential future developments, to help in gaining critical insights regarding revenue, volume, and others, which could benefit clients in business-related decisions.

𝐁𝐮𝐲 𝐓𝐡𝐢𝐬 𝐏𝐫𝐞𝐦𝐢𝐮𝐦 𝐑𝐞𝐩𝐨𝐫𝐭 𝐔𝐩𝐭𝐨 𝟕𝟎% 𝐃𝐢𝐬𝐜𝐨𝐮𝐧𝐭 𝐚𝐭: https://www.worldwidemarketreports.com/promobuy/817083

𝐂𝐨𝐧𝐭𝐚𝐜𝐭 𝐮𝐬:

Worldwide Market Reports
Tel: +1 415 871 0703
Email: [email protected]
Visit our news Website: www.worldwidemarketreports.com

Wed, 12 Oct 2022 02:33:00 -0500 Coherent Market Insights en-US text/html https://www.digitaljournal.com/pr/healthcare-operational-analytics-market-expected-to-rise-significantly-ibm-cerner-oracle
Killexams : Analytics as a Service(AaaS) Market Overview 2022 to 2030, Future Trends and Forecast | By -IBM, Oracle, Computer Science Corporation(CSC)

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

Oct 06, 2022 (Heraldkeepers) -- New Jersey, United States-This Analytics as a Service(AaaS) market examines the regional and global markets as well as the overall development opportunities in the industry. Additionally, it provides insight into the entire serious scene of the global Analytics as a Service(AaaS) industry. The research also includes a dashboard summary of the leading companies, outlining their successful marketing strategies, market commitment, and ongoing improvements in both historical and contemporary contexts.

The Global Analytics as a Service(AaaS) Market investigation report contains Types (Predictive, Prescriptive, Diagnostic, Descriptive), Segmentation & all logical and factual briefs about the Market 2022 Overview, CAGR, Production Volume, Sales, and Revenue with the regional analysis covers North America, Europe, Asia-Pacific, South America, Middle East Africa & The Prime Players & Others.

Download demo Analytics as a Service(AaaS) Market Report 2022 to 2030 here:

The Worldwide Analytics as a Service(AaaS) market size is estimated to be worth USD million in 2022 and is forecast to a readjusted size of USD million by 2030 with a CAGR of % during the review period.

The Analytics as a Service(AaaS) market research provides a detailed analysis of the industry by providing information on a variety of angles, including drivers, constraints, opportunities, and risks. This information can help partners make wise decisions before contributing by guiding them. Beginning with the approval of the data handled in the auxiliary investigation is the crucial examination.

Analytics as a Service(AaaS) Market Segmentation & Coverage:

Analytics as a Service(AaaS) Market segment by Type: 
Predictive, Prescriptive, Diagnostic, Descriptive

Analytics as a Service(AaaS) Market segment by Application: 
BFSI, Retail and Wholesale, Government, Healthcare and Life Sciences, Manufacturing, Telecommunication and IT, Others

The years examined in this study are the following to estimate the Analytics as a Service(AaaS) market size:

History Year: 2015-2019
Base Year: 2021
Estimated Year: 2022
Forecast Year: 2022 to 2030

Cumulative Impact of COVID-19 on Market:

More than 20 million COVID-19 cases would have been confirmed as of the study’s start date, and the pandemic had not been effectively controlled. We predict that the global Analytics as a Service(AaaS) market will reach million USD by the end of 2021 with a CAGR of between 2022 and 2030 and that the entire pandemic will have been largely contained by then.

Access a demo Report Copy of the Analytics as a Service(AaaS) Market: https://www.infinitybusinessinsights.com/request_sample.php?id=1013628

Regional Analysis:

The APAC (Asia Pacific) district is anticipated to experience the greatest rate of growth in the Analytics as a Service(AaaS) Market among all geographical areas. One explanation for this development could be the widespread advancement in countries like South Korea, China, Japan, and India. The rate of improvement in China is stabilizing as it considers various evened-out measures, stock charges, and current yield.

The Key companies profiled in the Analytics as a Service(AaaS) Market:

The study examines the Analytics as a Service(AaaS) market’s competitive landscape and includes data on important suppliers, including IBM, Oracle, Computer Science Corporation(CSC), Hewlett-Packard Enterprise(HPE), SAS Institute, Google, Amazon Web Services(AWS), EMC, Gooddata, Microsoft,& Others

Table of Contents:

List of Data Sources:

Chapter 2. Executive Summary
Chapter 3. Industry Outlook
3.1. Analytics as a Service(AaaS) Global Market segmentation
3.2. Analytics as a Service(AaaS) Global Market size and growth prospects, 2015 – 2026
3.3. Analytics as a Service(AaaS) Global Market Value Chain Analysis
3.3.1. Vendor landscape
3.4. Regulatory Framework
3.5. Market Dynamics
3.5.1. Market Driver Analysis
3.5.2. Market Restraint Analysis
3.6. Porter’s Analysis
3.6.1. Threat of New Entrants
3.6.2. Bargaining Power of Buyers
3.6.3. Bargaining Power of Buyers
3.6.4. Threat of Substitutes
3.6.5. Internal Rivalry
3.7. PESTEL Analysis
Chapter 4. Analytics as a Service(AaaS) Global Market Product Outlook
Chapter 5. Analytics as a Service(AaaS) Global Market Application Outlook
Chapter 6. Analytics as a Service(AaaS) Global Market Geography Outlook
6.1. Analytics as a Service(AaaS) Industry Share, by Geography, 2022 & 2030
6.2. North America
6.2.1. Analytics as a Service(AaaS) Market 2022 -2030 estimates and forecast, by product
6.2.2. Analytics as a Service(AaaS) Market 2022 -2030, estimates and forecast, by application
6.2.3. The U.S.
6.2.4. Canada
6.3. Europe
6.3.3. Germany
6.3.4. the UK
6.3.5. France
Chapter 7. Competitive Landscape
Chapter 8. Appendix

Get Full INDEX of Analytics as a Service(AaaS) Market Research Report. Stay tuned for more updates @

FAQs:
Where can Analytics as a Service(AaaS) market participants be certain that the most fruitful local business sectors will survive?
What elements will affect Analytics as a Service(AaaS) market interest?
What will the changing Analytics as a Service(AaaS) market trends mean?
What effects will COVID-19 have on the Analytics as a Service(AaaS) market?

Contact Us:
Amit Jain
Sales Co-Ordinator
International: +1 518 300 3575
Email: inquiry@infinitybusinessinsights.com
Website: https://www.infinitybusinessinsights.com

The post Analytics as a Service(AaaS) Market Overview 2022 to 2030, Future Trends and Forecast | By -IBM, Oracle, Computer Science Corporation(CSC) appeared first on Herald Keeper.

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Wed, 05 Oct 2022 17:08:00 -0500 en-US text/html https://www.marketwatch.com/press-release/analytics-as-a-serviceaaas-market-overview-2022-to-2030-future-trends-and-forecast-by--ibm-oracle-computer-science-corporationcsc-2022-10-06
Killexams : Data Analytics in L & H Insurance Market to Witness Huge Growth by 2028 : IBM, Deloitte, SAP

Data Analytics in L & H Insurance Market 2022-2028

This press release was orginally distributed by SBWire

Pune, Maharashtra — (SBWIRE) — 10/08/2022 — The Latest research study released by HTF MI "Data Analytics in L & H Insurance Market" with 100+ pages of analysis on business Strategy taken up by key and emerging industry players and delivers know how of the current market development, landscape, technologies, drivers, opportunities, market viewpoint and status. Understanding the segments helps in identifying the importance of different factors that aid the market growth. Some of the Major Companies covered in this Research are Deloitte, SAP AG, LexisNexis, IBM, Verisk Analytics, Pegasystems, Oracle, OpenText, Majesco, SAS, TIBCO Software, Prima Solutions, Qlik, Global IQX, Earnix & Atidot etc.

Click here for free demo + related graphs of the report @: https://www.htfmarketreport.com/sample-report/3354367-data-analytics-in-l-h-insurance-market

Browse market information, tables and figures extent in-depth TOC on "Data Analytics in L & H Insurance Market by Application (Predictive Analysis, Demographic Profiling, Data Visualization & Others), by Product Type (, Service & Software), Business scope, Manufacturing and Outlook – Estimate to 2027".

for more information or any query mail at [email protected]

At last, all parts of the Data Analytics in L & H Insurance Market are quantitatively also subjectively valued to think about the Global just as regional market equally. This market study presents basic data and true figures about the market giving a deep analysis of this market based on market trends, market drivers, constraints and its future prospects. The report supplies the worldwide monetary challenge with the help of Porter's Five Forces Analysis and SWOT Analysis.

If you have any Enquiry please click here @: https://www.htfmarketreport.com/enquiry-before-buy/3354367-data-analytics-in-l-h-insurance-market

Customization of the Report: The report can be customized as per your needs for added data up to 3 businesses or countries .
On the basis of report- titled segments and sub-segment of the market are highlighted below:
Data Analytics in L & H Insurance Market By Application/End-User (Value and Volume from 2022 to 2027) : Predictive Analysis, Demographic Profiling, Data Visualization & Others

Market By Type (Value and Volume from 2022 to 2027) : , Service & Software

Data Analytics in L & H Insurance Market by Key Players: Deloitte, SAP AG, LexisNexis, IBM, Verisk Analytics, Pegasystems, Oracle, OpenText, Majesco, SAS, TIBCO Software, Prima Solutions, Qlik, Global IQX, Earnix & Atidot
Geographically, this report is segmented into some key Regions, with manufacture, depletion, revenue (million USD), and market share and growth rate of Data Analytics in L & H Insurance in these regions, from 2017 to 2027 (forecast), covering China, USA, Europe, Japan, Korea, India, Southeast Asia & South America and its Share (%) and CAGR for the forecasted period 2022 to 2027

Informational Takeaways from the Market Study: The report Data Analytics in L & H Insurance matches the completely examined and evaluated data of the noticeable companies and their situation in the market considering impact of Coronavirus. The measured tools including SWOT analysis, Porter's five powers analysis, and assumption return debt were utilized while separating the improvement of the key players performing in the market.

Key Development's in the Market: This segment of the Data Analytics in L & H Insurance report fuses the major developments of the market that contains confirmations, composed endeavors, R&D, new thing dispatch, joint endeavours, and relationship of driving members working in the market.

To get this report buy full copy @: https://www.htfmarketreport.com/buy-now?format=1&report=3354367

Some of the important question for stakeholders and business professional for expanding their position in the Data Analytics in L & H Insurance Market :
Q 1. Which Region offers the most rewarding open doors for the market Ahead of 2021?
Q 2. What are the business threats and Impact of latest scenario Over the market Growth and Estimation?
Q 3. What are probably the most encouraging, high-development scenarios for Data Analytics in L & H Insurance movement showcase by applications, types and regions?
Q 4.What segments grab most noteworthy attention in Data Analytics in L & H Insurance Market in 2020 and beyond?
Q 5. Who are the significant players confronting and developing in Data Analytics in L & H Insurance Market?

For More Information Read Table of Content @: https://www.htfmarketreport.com/reports/3354367-data-analytics-in-l-h-insurance-market

Key poles of the TOC:
Chapter 1 Data Analytics in L & H Insurance Market Business Overview
Chapter 2 Major Breakdown by Type [, Service & Software]
Chapter 3 Major Application Wise Breakdown (Revenue & Volume)
Chapter 4 Manufacture Market Breakdown
Chapter 5 Sales & Estimates Market Study
Chapter 6 Key Manufacturers Production and Sales Market Comparison Breakdown
…………………..
Chapter 8 Manufacturers, Deals and Closings Market Evaluation & Aggressiveness
Chapter 9 Key Companies Breakdown by Overall Market Size & Revenue by Type
………………..
Chapter 11 Business / Industry Chain (Value & Supply Chain Analysis)
Chapter 12 Conclusions & Appendix

Thanks for studying this article; you can also get an individual chapter-wise sections or region-wise report versions like North America, LATAM, Europe, or Southeast Asia.

Contact Us :
Craig Francis (PR & Marketing Manager)
HTF Market Intelligence Consulting Private Limited
Phone: +1 (434) 299-0043
[email protected]

For more information on this press release visit: http://www.sbwire.com/press-releases/data-analytics-in-l-h-insurance-market-to-witness-huge-growth-by-2028-ibm-deloitte-sap-1364486.htm

Sat, 08 Oct 2022 00:36:00 -0500 ReleaseWire en-US text/html https://www.digitaljournal.com/pr/data-analytics-in-l-h-insurance-market-to-witness-huge-growth-by-2028-ibm-deloitte-sap
Killexams : MSc Business Analytics

The MSc Business Analytics is a one-year specialist programme for graduates with a bachelor's degree with a substantial quantitative component, and highly qualified graduates from other backgrounds with demonstrable advanced quantitative skills. It will suit graduates or early career professionals who wish to pursue a career in business analytics across sectors such as digital marketing, human resources, logistics, retail, finance, banking, insurance, and healthcare.

The MSc Business Analytics has been created in partnership with industry professionals from IBM, LV & UCL/IBM Industry Exchange Network. It provides students with the opportunity to work on business analytics projects and provide data-driven solutions to a real business problem or challenge, where possible, in partnership with IBM and other private, charity, and public sector organisations.

Students will gain a critical understanding of organisational, societal, and ethical issues in the use of Business Analytics. These issues are crucial for many organisations that seek to provide data-driven services while trying to balance innovation and competitiveness with public trust and corporate social responsibility. Examples of projects include optimisation of resource allocation, people analytics to support hiring decisions, customer segmentation, and sentiment analysis to Boost a business strategic direction.

At the end of the programme, students will have learned technical skills in data preparation (such as identification, extraction, and cleaning of data); the use of statistical and machine learning techniques to perform data mining and predictive analytics; the formulation and execution of statistical and mathematical models to optimise complex business decisions; the visualisation, interpretation, and reporting/communication of results from statistical analysis. Students will learn how to perform ad-hoc data analytics in Python and through specialised software such as IBM SPSS Modeler and IBM CPLEX.

You will be taught by leading academics whose research tackles the major issues in business analytics. 88% of our Business and Management research is rated as world leading or internationally excellent (REF 2021), reflecting its impact in shaping policy and practice. Bristol is a vibrant, ambitious and entrepreneurial city and home to SETSquared, the world's top university business incubator (UBI Global).

Wed, 05 Oct 2022 04:23:00 -0500 en text/html https://www.bristol.ac.uk/study/postgraduate/2023/ssl/msc-business-analytics/
Killexams : Marketing Analytics Market Competitive Insights 2022: IBM Corporation,Microsoft Corporation

(MENAFN- Ameliorate Digital Consultancy)

Market insights reports recently added a new report on Global Marketing Analytics Market, which an in-depth study is providing complete study of the industry for the period 2022 to 2027. It provides complete overview of Global Marketing Analytics Market industry as all the major industry trends, market subtleties and good set-up. Besides this, the report also provides key statistics on the Marketing Analytics Market status of the leading market players, key trends, and potential growth openings in the market. These study reports are planned with the goal to help the reader in favorable Boost data and make decisions that are helpful to grow their business.

The Marketing Analytics Market was valued at USD 2.13 billion in 2020 and is expected to reach USD 4.68 billion by 2027, at a CAGR of 14% over the forecast period (2022 – 2027) .

Click here to get the latest demo PDF copy of the report: –

The major players covered in the reports are:

– IBM Corporation

– Microsoft Corporation

– Oracle Corporation

– Salesforce.Com Inc.

– Accenture PLC

– Adobe Systems Incorporated

– SAS Institute Inc.

– Teradata Corporation

– Neustar, Inc.

– Pegasystems Inc.

– Tableau Software

– Google LLC

They said research study covers in-depth analysis of multiple market segments based on type, application, and studies different topographies. The report is also inclusive of competitive profiling of the leading Marketing Analytics Market product vendors, and their latest developments. This report has been segmented by type, by application and by geography and also includes the market size and forecast for all these segments. Compounded annual growth rates for all segments have also been provided for 2022 to 2027.

Browse the full report description and summary: –

Regional Analysis: –

Major regions covered in the report include North America, Asia Pacific, Europe, East & Africa, and South America. In addition, the report provides country level analysis for 25+ major countries including US, Germany, UK, Japan, China, India, UAE, South Korea, South Africa, and Brazil. Regional analysis provides regional as well as country level information about the market highlighting the dynamics of the market by various segments covered in the report.

Industry News and Updates:

In Jul 2017, Teradata announced the acquisition of StackIQ, a prominent developer of cloud analytics software, which has managed the deployment of cloud and analytics software at millions of servers in data centers around the world. The acquisition is expected to strengthen the R&D capabilities of the company. Further In Jun 2018, Microsoft signed a MoU with New Sales Wales to trial a major data science project based on procurement analytics.

Some of the key questions answered in this report:

  • What will the market growth rate, growth momentum or acceleration market carries during the forecast period?
  • Which are the key factors driving the Marketing Analytics Market?
  • What was the size of the emerging Marketing Analytics Market by value in 2029?
  • What will be the size of the emerging Marketing Analytics Market in 2029?
  • Which region is expected to hold the highest market share in the Marketing Analytics Market?
  • What trends, challenges and barriers will impact the development and sizing of the Global Marketing Analytics Market?
  • What is sales volume, revenue, and price analysis of top manufacturers of Marketing Analytics Market?
  • What are the Marketing Analytics Market opportunities and threats faced by the vendors in the global Marketing Analytics Market Industry?

Highlights of Global Marketing Analytics Market Report: –

  • Examines the Marketing Analytics Market industry's prospects and quickly compares historical, current, and projected market figures.
  • This report examines growth constraints, market drivers and challenges, and current and prospective development prospects.
  • Key market participants are evaluated based on various factors, including revenue share, price, regional growth, and product portfolio, to demonstrate how market shares have changed in the past and are expected to change in the future.
  • Describes the expansion of the global Marketing Analytics Market across various industries and geographies. This allows players to concentrate their efforts on regional markets with the potential for rapid growth in the short term.
  • Discuss the global, regional, and national ramifications of COVID-19.

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Killexams : Life Sciences Analytics Market Size estimated USD 17200 million with CAGR of 6.5%, Industry Trends and Growth Report, 2022-2027

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

Oct 05, 2022 (The Expresswire) -- The Life Sciences Analytics Market Research Report 2022-2027, provides an in-depth overview and insights into the market size, revenues, various segments and drivers of development, as well as limiting factors and regional industrial presence. The purpose of the market research study is to thoroughly evaluate the Medical Care sector and gain a review about the Life Sciences Analytics industry and its commercial possibilities. As a consequence of the Russia-Ukraine War and COVID-19, the world economy will recover, and generate a lot of revenue till 2027. Life Sciences Analytics market size is projected to reach USD 27590 million by 2027, from USD 17200 million in 2020, at a CAGR of 6.5% during 2021-2027. In accordance with this, the client receives extensive knowledge on the industry and firm from the past, present, and future perspectives, allowing them to invest money and deploy resources wisely. This research report also includes up to date analysis and forecasts for various market segments and all geographical regions.

The Life Sciences Analytics Market research report is the result of persistent work conducted by qualified forecasters, creative analysts, and brilliant researchers. With the specific and up-to-date information provided in this report, businesses can gain an understanding of the types of consumers, consumer demands and preferences, their perspectives on the product, their purchasing intentions, their response to a specific product that is already on the market, and their varying tastes about a specific product that is already on the market. Life Sciences Analytics Market report provides an absolute overview of the market by covering many elements of market analysis, product definition, market segmentation, significant developments, and the existing vendor landscape through 2027.

Get a demo PDF of report @ https://www.precisionreports.co/enquiry/request-sample/17717587

Life Sciences Analytics Market - Size, Shares, Scope, Competitive Landscape and Segmentation Analysis:

The report focuses on the Life Sciences Analytics market size, segment size (mainly covering product type, application, and geography), competitor landscape, accurate status, and development trends. Furthermore, the report provides strategies for companies to overcome threats posed by COVID-19. Technological innovation and advancement will further optimize the performance of the product, enabling it to acquire a wider range of applications in the downstream market. Moreover, customer preference analysis, market dynamics (drivers, restraints, opportunities), new product release, impact of COVID-19, and regional conflicts provide crucial information for you to take a deep dive into the Life Sciences Analytics market.

This Life Sciences Analytics Market Report offers analysis and insights based on original consultations with important players such as CEOs, Managers, Department Heads of Suppliers, Manufacturers, and Distributors etc.

The research explores prominent Life Sciences Analytics market players in order to better understand their market position and future strategies. Many marketing channels and strategies are predicted to rise throughout the forecast period, according to data that assists readers in developing a winning plan. Chapter 9 delves deeper into the most major Life Sciences Analytics market players.

Major Players in Life Sciences Analytics Market are:
● Accenture
● Cognizant
● IBM Corporation
● Oracle Corporation
● IQVIA
● SAS Institute
● SCIOInspire
● TAKE Solutions
● Wipro
● Genpact
● Tableau
● Veeva Systems
● SAP
● Medidata Solutions
● Microsoft
● Salesforce
● ArisGlobal

Life Sciences Analytics Market is segmented on the basis of type, end-use industry and application. The growth amongst the different segments helps you in attaining the knowledge related to the different growth factors expected to be prevalent throughout the market and formulate different strategies to help identify core application areas and the difference in your target markets.

Based on Product Type, the Life Sciences Analytics Market from 2017 to 2027 is primarily split into:
● Services
● Software

The report studies end-user applications in various product segments and the global Life Sciences Analytics Market. By collecting important data from relevant sources, the report assesses the growth of individual market segments. In addition, the market size and growth rate of each segment is explained in the report. The report considers key geographic segments and describes all the favorable conditions driving market growth.

Based on End Users / Applications, the Life Sciences Analytics Market from 2017 to 2027 covers:
● Clinical Research Institutions
● Pharmaceutical and Biotechnology Companies
● Medical Device Companies
● Others

The country section of the report also includes individual market influences affecting current and future market trends and changes in market regulation at the country level. The detailed analysis of consumption, revenue, market share and growth rate, historical data and forecast (2017-2027) of the following regions are covered in Chapter 4 and Chapter 7.

Geographically, Life Sciences Analytics Market is segmented into:
- United States
- Europe
- China
- Japan
- India
- Southeast Asia
- Latin America
- Middle East and Africa

The purpose of the Life Sciences Analytics thorough study is to assist clients in increasing their market position, and this research provides a detailed analysis of numerous main Life Sciences Analytics market vendors. Furthermore, the Life Sciences Analytics market research report includes information on upcoming trends and challenges that may affect market growth. This is to help firms strategize and capitalize on any forthcoming growth opportunities. The study gives useful information on the Life Sciences Analytics Major's market features. It includes SWOT Analysis, PESTEL Analysis, and Porter's FIVE Forces Analysis to help you understand the Life Sciences Analytics Market, Competitive Landscape, and Factors Influencing it, as well as projecting the company's future.

Life Sciences Analytics Market Research Report 2022-2027 Synopsis:

ATTRIBUTE DETAILS
Study Period 2017-2027
Historical Period 2017-2021
Base Year 2021
Estimated Year 2022
Forecast Period 2022-2027
Growth Rate Value (%) CAGR of 6.5% from 2021 to 2027
Unit and Forecast Value Revenue in USD 17200 million
Market Segmentation Type, Application, End-User, Region, and More
Report Coverage Revenue Forecast, Company Ranking, Competitive Landscape, Growth Factors, and Trends
Regions United States, Europe, China, Japan, India, Southeast Asia, Latin America, Middle East and Africa

In addition to the factors mentioned above, the report encompasses several factors that have contributed to the Life Sciences Analytics market's growth.

The study was conducted using an objective combination of primary and secondary information including inputs from key participants in the industry. The report contains a comprehensive market and vendor landscape in addition to an analysis of the key vendors. For further information on this report, please visit - https://www.precisionreports.co/17717587

With industry-standard accuracy in analysis and high data integrity, the report makes a brilliant attempt to unveil key opportunities available in the global Life Sciences Analytics market to help players in achieving a strong market position. Buyers of the report can access Tested and reliable market forecasts, including those for the overall size of the global Life Sciences Analytics market in terms of revenue. On the whole, the report proves to be an effective tool that players can use to gain a competitive edge over their competitors and ensure lasting success in the global Life Sciences Analytics market. All of the findings, data, and information provided in the report are validated and revalidated with the help of trustworthy sources. The analysts who have authored the report took a unique and industry-best research and analysis approach for an in-depth study of the global Life Sciences Analytics market. Life Sciences Analytics market is segmented by company, region (country), by Type, and by Application. Players, stakeholders, and other participants in the global Life Sciences Analytics market will be able to gain the upper hand as they use the report as a powerful resource. The segmental analysis focuses on revenue and forecast by Type and by Application in terms of revenue and forecast for the period 2016-2027.

Life Sciences Analytics Market - Recovery Analysis of Russia-Ukraine War and Covid-19 Epidemic:

We have been following both the direct and indirect effects of the Russia-Ukraine war and the COVID-19 epidemic on the Life Sciences Analytics market. To Know How Covid-19 Pandemic and Russia-Ukraine will Impact this Life Sciences Analytics Industry, this research provides an in-depth market evaluation by highlighting information on various aspects covering market dynamics like drivers, barriers, opportunities, threats, and industry news and trends. Furthermore, the report provides strategies for companies to overcome threats posed by COVID-19 period.

To Understand How Covid-19 Impact Is Covered in This Report - https://www.precisionreports.co/enquiry/request-covid19/17717587

What exactly is included in Life Sciences Analytics Market Report ??
The research report provides a detailed market analysis. It focuses on key aspects such as leading companies, products, and end-users. Besides this, it offers insights into the trends in the global Life Sciences Analytics market and highlights key industry developments.

Life Sciences Analytics Market's demo PDF Report consists of the following,
- Updated Regional Analysis with Graphical Representation of Size, Share, and Trends for the Year 2022
- The COVID-19 Pandemic Outbreak Impact Analysis is included in the package
- Provide detailed Chapter by Chapter guidance on Request
- The most accurate version of the report includes the Top Market Players, their Business Strategies, Sales Volume, and Revenue Analysis
- About 118 Pages Research Report (Including accurate Research)
- Significant Economics Statistical Analysis (Facts and Influencing Factors)

Request a demo Copy of "Global Life Sciences Analytics Market Size, Status and Forecast 2021-2027" Here

Life Sciences Analytics Market - Drivers and Restrains:

FIRSTPARA The research report provides an analysis of the various factors driving the markets growth. It creates trends, constraints and impulses that change the market in a positive or negative direction. This section also discusses the various segments and applications that could affect the future market. Details are based on current trends and past achievements. The report includes a comprehensive boundary condition assessment that compares drivers and provides strategic planning. The factors that impede market growth are fundamental because they create different curves to seize opportunities in emerging markets. We also gather information from the opinions of market experts to better understand the market.

Inquire or Share your Questions If any before the Purchasing this Report - https://www.precisionreports.co/enquiry/pre-order-enquiry/17717587

Key questions answered in the report include,
- What will the market size and the growth rate be in 2022?
- What are the key factors driving the global Life Sciences Analytics market?
- Does this report consider the impact of COVID-19 and the Russia-Ukraine war on the Life Sciences Analytics market?
- What are your main data sources?
- What are the key market trends impacting the growth of the global Life Sciences Analytics market?
- What are the challenges to market growth?
- Who are the key vendors in the global Life Sciences Analytics market?
- What are the market opportunities and threats faced by the vendors in the global Life Sciences Analytics market?
- Trending factors influencing the market shares of the Americas, APAC, and EMEA.
- What are the key outcomes of the five forces analysis of the global Life Sciences Analytics market?

Reasons to buy this report:
- Gained an analysis of market insights and a comprehensive understanding of the Global Life Sciences Analytics Market and commercial environment.
- To mitigate development risk, the production process evaluates key problems and solutions.
- Recognize the driving forces and impediments that have the biggest influence on Russia-Ukraine war and covid-19 in the Life Sciences Analytics market, as well as its worldwide market.
- Explains the market strategies adopted by each major institution.
- Understand the Life Sciences Analytics Market's future view and forecast.
- In addition to standard structure reports, we also offer custom studies tailored to specific requirements.

Purchase this report (Price 3900 USD for a Single-User License) @ https://www.precisionreports.co/purchase/17717587

With tables and figures to help analyze the global Life Sciences Analytics market trends, this study provides key statistics on the state of the industry and is a valuable source of guidance and direction for companies and individuals interested in the market.

Life Sciences Analytics Market - Table of Contents (TOC):

1 Life Sciences Analytics Market Overview
1.1 Product Overview and Scope of Life Sciences Analytics
1.2 Life Sciences Analytics Segment by Type
1.2.1 Global Life Sciences Analytics Market Size Growth Rate Analysis by Type 2021 VS 2027
1.3 Life Sciences Analytics Segment by Application
1.3.1 Global Life Sciences Analytics Consumption Comparison by Application: 2016 VS 2021 VS 2027
1.4 Global Market Growth Prospects
1.4.1 Global Life Sciences Analytics Revenue Estimates and Forecasts (2016-2027)
1.4.2 Global Life Sciences Analytics Production Estimates and Forecasts (2016-2027)
1.5 Global Market Size by Region
1.5.1 Global Life Sciences Analytics Market Size Estimates and Forecasts by Region: 2016 VS 2021 VS 2027
1.5.2 North America Life Sciences Analytics Estimates and Forecasts (2016-2027)
1.5.3 Europe Life Sciences Analytics Estimates and Forecasts (2016-2027)
1.5.4 China Life Sciences Analytics Estimates and Forecasts (2016-2027)
1.5.5 Japan Life Sciences Analytics Estimates and Forecasts (2016-2027)

2 Market Competition by Manufacturers
2.1 Global Life Sciences Analytics Production Market Share by Manufacturers (2016-2021)
2.2 Global Life Sciences Analytics Revenue Market Share by Manufacturers (2016-2021)
2.3 Life Sciences Analytics Market Share by Company Type (Tier 1, Tier 2 and Tier 3)
2.4 Global Life Sciences Analytics Average Price by Manufacturers (2016-2021)
2.5 Manufacturers Life Sciences Analytics Production Sites, Area Served, Product Types
2.6 Life Sciences Analytics Market Competitive Situation and Trends
2.6.1 Life Sciences Analytics Market Concentration Rate
2.6.2 Global 5 and 10 Largest Life Sciences Analytics Players Market Share by Revenue
2.6.3 Mergers and Acquisitions, Expansion

3 Production and Capacity by Region
3.1 Global Production of Life Sciences Analytics Market Share by Region (2016-2021)
3.2 Global Life Sciences Analytics Revenue Market Share by Region (2016-2021)
3.3 Global Life Sciences Analytics Production, Revenue, Price and Gross Margin (2016-2021)
3.4 North America Life Sciences Analytics Production
3.4.1 North America Life Sciences Analytics Production Growth Rate (2016-2021)
3.4.2 North America Life Sciences Analytics Production, Revenue, Price and Gross Margin (2016-2021)
3.5 Europe Life Sciences Analytics Production
3.5.1 Europe Life Sciences Analytics Production Growth Rate (2016-2021)
3.5.2 Europe Life Sciences Analytics Production, Revenue, Price and Gross Margin (2016-2021)
3.6 China Life Sciences Analytics Production
3.6.1 China Life Sciences Analytics Production Growth Rate (2016-2021)
3.6.2 China Life Sciences Analytics Production, Revenue, Price and Gross Margin (2016-2021)
3.7 Japan Life Sciences Analytics Production
3.7.1 Japan Life Sciences Analytics Production Growth Rate (2016-2021)
3.7.2 Japan Life Sciences Analytics Production, Revenue, Price and Gross Margin (2016-2021)

4 Global Life Sciences Analytics Consumption by Region
4.1 Global Life Sciences Analytics Consumption by Region
4.1.1 Global Life Sciences Analytics Consumption by Region
4.1.2 Global Life Sciences Analytics Consumption Market Share by Region
4.2 North America
4.2.1 North America Life Sciences Analytics Consumption by Country
4.2.2 United States
4.2.3 Canada
4.3 Europe
4.3.1 Europe Life Sciences Analytics 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 Life Sciences Analytics Consumption by Region
4.4.2 China
4.4.3 Japan
4.4.4 South Korea
4.4.5 Taiwan
4.4.6 Southeast Asia
4.4.7 India
4.4.8 Australia
4.5 Latin America
4.5.1 Latin America Life Sciences Analytics Consumption by Country
4.5.2 Mexico
4.5.3 Brazil

5 Production, Revenue, Price Trend by Type
5.1 Global Life Sciences Analytics Production Market Share by Type (2016-2021)
5.2 Global Life Sciences Analytics Revenue Market Share by Type (2016-2021)
5.3 Global Life Sciences Analytics Price by Type (2016-2021)

6 Consumption Analysis by Application
6.1 Global Life Sciences Analytics Consumption Market Share by Application (2016-2021)
6.2 Global Life Sciences Analytics Consumption Growth Rate by Application (2016-2021)

7 Key Companies Profiled

8 Life Sciences Analytics Manufacturing Cost Analysis
8.1 Life Sciences Analytics Key Raw Materials Analysis
8.1.1 Key Raw Materials
8.1.2 Key Raw Materials Price Trend
8.1.3 Key Suppliers of Raw Materials
8.2 Proportion of Manufacturing Cost Structure
8.3 Manufacturing Process Analysis of Life Sciences Analytics
8.4 Life Sciences Analytics Industrial Chain Analysis

9 Marketing Channel, Distributors and Customers
9.1 Marketing Channel
9.2 Life Sciences Analytics Distributors List
9.3 Life Sciences Analytics Customers

10 Market Dynamics
10.1 Life Sciences Analytics Industry Trends
10.2 Life Sciences Analytics Growth Drivers
10.3 Life Sciences Analytics Market Challenges
10.4 Life Sciences Analytics Market Restraints

11 Production and Supply Forecast
11.1 Global Forecasted Production of Life Sciences Analytics by Region (2022-2027)
11.2 North America Life Sciences Analytics Production, Revenue Forecast (2022-2027)
11.3 Europe Life Sciences Analytics Production, Revenue Forecast (2022-2027)
11.4 China Life Sciences Analytics Production, Revenue Forecast (2022-2027)
11.5 Japan Life Sciences Analytics Production, Revenue Forecast (2022-2027)

12 Consumption and Demand Forecast
12.1 Global Forecasted Demand Analysis of Life Sciences Analytics
12.2 North America Forecasted Consumption of Life Sciences Analytics by Country
12.3 Europe Market Forecasted Consumption of Life Sciences Analytics by Country
12.4 Asia Pacific Market Forecasted Consumption of Life Sciences Analytics by Region
12.5 Latin America Forecasted Consumption of Life Sciences Analytics by Country

13 Forecast by Type and by Application (2022-2027)
13.1 Global Production, Revenue and Price Forecast by Type (2022-2027)
13.1.1 Global Forecasted Production of Life Sciences Analytics by Type (2022-2027)
13.1.2 Global Forecasted Revenue of Life Sciences Analytics by Type (2022-2027)
13.1.3 Global Forecasted Price of Life Sciences Analytics by Type (2022-2027)
13.2 Global Forecasted Consumption of Life Sciences Analytics by Application (2022-2027)

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

Continue...

Browse Detailed TOC of Life Sciences Analytics Market Industry Research Report, Competitive Landscape, Market Size, Regional Status and Prospect - https://www.precisionreports.co/TOC/17717587#TOC

Life Sciences Analytics Market - Research Methodology:

The research methodology used to estimate and forecast this market begins by capturing the revenues of the key players and their shares in the market. Various secondary sources such as press releases, annual reports, non-profit organizations, industry associations, governmental agencies and customs data, have been used to identify and collect information useful for this extensive commercial study of the market. Calculations based on this led to the overall market size. After arriving at the overall market size, the total market has been split into several segments and subsegments, which have then been Tested through primary research by conducting extensive interviews with industry experts such as CEOs, VPs, directors, and executives. The data triangulation and market breakdown procedures have been employed to complete the overall market engineering process and arrive at the exact statistics for all segments and subsegments.

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Tue, 04 Oct 2022 23:28:00 -0500 en-US text/html https://www.marketwatch.com/press-release/life-sciences-analytics-market-size-estimated-usd-17200-million-with-cagr-of-65-industry-trends-and-growth-report-2022-2027-2022-10-05
Killexams : IBM Study: Supply Chain Leaders Are Investing in AI and Automation to Navigate Supply Chain Uncertainties and Boost Sustainability
  • Almost half (47%) of surveyed CSCOs said they have introduced new automation technologies in the last two years.
  • Surveyed CSCOs ranked sustainability as their third biggest challenge in the next few years, trailing only supply chain disruptions and technology infrastructure.
  • "The Innovators" are modernizing their technology infrastructure – 56% of those respondents are currently operating on hybrid cloud, and 60% are investing in digital infrastructure to scale and deliver value.

ARMONK, N.Y., Sept. 20, 2022 /PRNewswire/ -- A new IBM (NYSE: IBM) Institute for Business Value (IBV) study "Own Your Transformation" unveils how Chief Supply Chain Officers (CSCOs) are navigating significant supply chain challenges brought on by a global COVID-19 pandemic, inflation, climate change and geopolitical events, and how they plan to future-proof their supply chains.

The survey* of 1,500 CSCOs and Chief Operating Officers (COOs) reveals that they are increasing investments in automation, AI and intelligent workflows, ecosystems and sustainability, and are reimagining their supply chain operations.

"To effectively combat the unprecedented supply chain stressors like inflation, it's imperative that CSCOs focus on using analytics, AI and automation initiatives to build intelligent, resilient, and sustainable supply chains," said Jonathan Wright, IBM Consulting Global Managing Partner, Sustainability Services and Global Business Transformation. "Automation and AI can enable CSCOs and their organizations to collect data, identify risk, validate documentation, and provide audit trails, even in high inflationary periods, while also managing their carbon, waste, energy and water consumption."

Key study findings show that:

CSCOs are embracing AI and automation technologies to provide interconnectivity with partners and suppliers and to enable sustainable operations and predictability.

  • Almost half (47%) of surveyed CSCOs said they have introduced new automation technologies in the last two years—an approach that can add predictability, flexibility, and intelligence to supply chain operations, and they're using AI to help monitor and track performance.

Sustainability is both a challenge and a force for change.

  • Surveyed CSCOs rank sustainability as their third biggest challenge in the next few years, trailing only supply chain disruptions and technology infrastructure.
  • 52% place sustainability at or near the top of their priority list.
  • 50% report that their sustainability investments will accelerate business growth.
  • They tell us that they experience the most direct pressure for sustainability transparency from: investors (56%), board members (50%) and customers (50%).

"The Innovators": 20% of respondents stand apart for accelerating their data-led innovation to prepare for a precarious future, and this group is already outperforming peers on key metrics including reporting 11% higher annual revenue growth. They are:

  • Integrating automated workflows across organizational functions and with their partners for real-time visibility, insights, and action (95% more than other CSCOs).
  • Modernizing their technology infrastructure – 56% are currently operating on hybrid cloud, and 60% are investing in digital infrastructure to scale and deliver value.
  • Extending their sustainability initiatives, creating new products and services. 58% see opportunities to Boost customer engagement through sustainability imperatives.
  • Focusing deeper on cybersecurity (nearly 20% more than other CSCOs).

The full study is available at: 

https://www.ibm.com/thought-leadership/institute-business-value/c-suite-study/csco

*Methodology

In cooperation with Oxford Economics, the IBM Institute for Business Value surveyed 1,500 CSCOs and COOs from 35+ countries and 24 industries as part of the 26th edition of the IBM C-suite Study series. To simplify, we refer to the full population as CSCOs.

About the IBM Institute for Business Value 

For two decades, the IBM Institute for Business Value has served as the thought leadership think tank for IBM. What inspires us is producing research-backed, technology-informed strategic insights that help leaders make smarter business decisions. From our unique position at the intersection of business, technology, and society, we survey, interview, and engage with thousands of executives, consumers, and experts each year, synthesizing their perspectives into credible, inspiring, and actionable insights. To stay connected and informed, sign up to receive IBV's email newsletter at ibm.com/ibv. You can also follow @IBMIBV on Twitter or find us on LinkedIn at https://www.linkedin.com/showcase/ibm-institute-for-business-value/

Media Contact

Tricia Vuiton

IBM External Relations

Email: tavuiton@us.ibm.com

Phone: +1 (845) 490-7582

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