The Healthcare Predictive Analytics by The Business Research Company provides market overview across 60+ geographies in the seven regions - Asia-Pacific, Western Europe, Eastern Europe, North America, South America, the Middle East, and Africa, encompassing 27 major global industries. The report presents a comprehensive analysis over a ten-year historic period (2010-2021) and extends its insights into a ten-year forecast period (2023-2033).
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According to The Business Research Company’s Healthcare Predictive Analytics, The healthcare predictive analytics market size has grown exponentially in recent years. It will grow from $16.63 billion in 2023 to $20.68 billion in 2024 at a compound annual growth rate (CAGR) of 24.3%. The growth in the historic period can be attributed to increased healthcare expenditure, covid-19 pandemic, and increasing integration of ai into healthcare.
The healthcare predictive analytics market size is expected to see exponential growth in the next few years. It will grow to $52.61 billion in 2028 at a compound annual growth rate (CAGR) of 26.3%. The growth in the forecast period can be attributed to increasing adoption by healthcare facilities, supportive government initiatives, increasing focus on personalized medicines, and rising prevalence of chronic diseases. Major trends in the forecast period include focusing on launch of ai-based predictive analytics platform, focus on getting approval from governments across different countries, focusing on the launch of innovative products, and focus on the partnerships and collaborations.
The increasing number of chronic diseases is expected to propel the growth of the healthcare predictive analytics market going forward. Chronic diseases are medical conditions that persist over an extended period, often for a person's lifetime. Predictive analytics in the context of chronic diseases empowers healthcare providers to take a proactive and personalized approach to patient care, leading to improved outcomes, resource efficiency, and a more effective healthcare system. For instance, in September 2023, according to the World Health Organization, a Switzerland-based specialized agency of the United Nations, there were 41 million deaths, which is 74% of those caused by non-communicable diseases (NCDs) or chronic diseases every year globally. There were 17.9 million deaths from cardiovascular diseases, 9.3 million deaths from cancer, 4.1 million deaths from chronic respiratory diseases, and 2.0 million deaths from diabetes. Therefore, the increasing number of chronic diseases is driving the growth of the healthcare predictive analytics market.
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The healthcare predictive analytics market covered in this report is segmented –
1) By Component: Services, Software, Hardware
2) By Delivery Model: Stand Alone, Integrated
3) By Application: Operations Management, Financial, Population Health Management, Clinical
4) By End Use: Healthcare Payers , Healthcare Providers
Product innovations are gaining popularity in the healthcare predictive analytics market. Companies in the healthcare predictive analytics market are focusing on the launch of innovative products in the market to improve their product portfolio and increase their consumer base. For instance, in September 2021, Trilliant Health, a US-based group of healthcare technology and analytics companies developed a new predictive analytics tool that enables strategy teams to see a 10-year view of the healthcare market based on a variety of claims, demographic, and psychographic data. This tool aggregates more than 300 algorithms to provide dynamic insights about future demand for healthcare services at a market level and enables health systems to game plan a scenario and make better investments to care for patients in the community.
The healthcare predictive analytics market report table of contents includes:
- Executive Summary
- Healthcare Predictive Analytics Market Characteristics
- Healthcare Predictive Analytics Market Trends And Strategies
- Healthcare Predictive Analytics Market - Macro Economic Scenario
- Global Healthcare Predictive Analytics Market Size and Growth
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- Global Healthcare Predictive Analytics Market Competitive Benchmarking
- Global Healthcare Predictive Analytics Market Competitive Dashboard
- Key Mergers And Acquisitions In The Healthcare Predictive Analytics Market
- Healthcare Predictive Analytics Market Future Outlook and Potential Analysis
- Appendix
Top 5 Major Key Players Are:
- IBM
- UnitedHealth Group Incorporated
- Cerner Corp
- Change Healthcare Inc
- Allscripts Healthcare Solutions
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To ensure that companies and individuals operating in the Healthcare Predictive Analytics market have access to adequate for the upcoming years.
The market intelligence report gives a concise view of various consumer groups functional in the industry and their need to help product owners cater to those requirements and generate profit.
Apart from this, the report aims at outlining the consumers whom business owners operating in the Healthcare Predictive Analytics market should and should not target, along with the main alternatives and competitive product offerings.
Defining major challenges and roadblocks remains the key focus of the study.
Problem definition covered in the report provides a systematic approach to recent investments and makes product marketing both simpler and more efficient.Request For Free PDF Sample of This Research Report At@ https://www.reportsanddata.com/sample-enquiry-form/2167 Key participants include Cerner Corporation, McKesson Corporation, Verisk Analytics, Inc., IBM, Oracle, MedeAnalytics, Inc., SAS, Optum, Inc., Allscripts, and InovalonFor the purpose of this report, Reports and Data has segmented the Healthcare Predictive Analytics market on the basis of application, end use, and region:Application Type Operations ManagementFinancialPopulation HealthClinical DataEnd Use PayersProvidersOthersRegional OutlookNorth AmericaEuropeAsia PacificMiddle East & Africa (MEA)Latin AmericaGrab Your Report at an Impressive Discount!
A combination of charts, graphics images, and tables offers more clarity on the overall study.
The Global Healthcare Predictive Analytics Market Research Report - Industry Analysis, Size, Share, Growth, Trends and Forecast Till 2026 gives an evaluation of the market developments based on historical studies and comprehensive research respectively.
The market segments are also provided with an in-depth outlook of the competitive landscape and a listing of the profiled key players.The comprehensive value chain analysis of the market will assist in attaining better product differentiation, along with detailed understanding of the core competency of each activity involved.
The market attractiveness analysis provided in the report aptly measures the potential value of the market providing business strategists with the latest growth opportunities.The report classifies the market into different segments based on applications and end-use.
These segments are studied in detail incorporating the market estimates and forecasts at regional and country level.
The segment analysis is useful in understanding the growth areas and probable opportunities of the market.Final Report will cover the impact of COVID-19 on this industry.Browse the complete Global Healthcare Predictive Analytics Market Research Report – Industry Analysis, Size, Share, Growth, Trends and Forecast Till 2026 @ https://www.decisiondatabases.com/ip/14982-healthcare-predictive-analytics-market-reportThe report also covers the complete competitive landscape of the global Healthcare Predictive Analytics market with company profiles of key players such as:Allscripts Healthcare Solutions, Inc.Cerner CorporationIBM CorporationMcKesson CorporationMEDai Inc.MedeAnalytics, Inc.Optum Health Inc.Oracle CorporationSASVerisk Analytics Inc.A detailed description of each has been included, with information in terms of H.Q, future capacities, key mergers & acquisitions, financial overview, partnerships, collaborations, new product launches, new product developments and other latest industrial developments.SEGMENTATIONS IN THE REPORT:By Applications:Operations ManagementFinancialPopulation HealthClinicalBy End-User:Healthcare PayersHealthcare ProvidersOther End-UsersBy Geography:North America (NA)Europe (EU)Asia Pacific (APAC)Latin America (LA)Middle East & Africa (MEA)Download Free Sample Report of Global Healthcare Predictive Analytics Market @ https://www.decisiondatabases.com/contact/download-sample-14982The Global Healthcare Predictive Analytics Market has been exhibited in detail in the following chapters –Chapter 1 Healthcare Predictive Analytics Market PrefaceChapter 2 Executive SummaryChapter 3 Healthcare Predictive Analytics Industry AnalysisChapter 4 Healthcare Predictive Analytics Market Value Chain AnalysisChapter 5 Healthcare Predictive Analytics Market Analysis By ApplicationsChapter 6 Healthcare Predictive Analytics Market Analysis By End-UserChapter 7 Healthcare Predictive Analytics Market Analysis By GeographyChapter 8 Competitive Landscape Of Healthcare Predictive Analytics CompaniesChapter 9 Company Profiles Of Healthcare Predictive Analytics IndustryPurchase the complete Global Healthcare Predictive Analytics Market Research Report @ https://www.decisiondatabases.com/contact/buy-now-14982Other Reports by DecisionDatabases.com:Global Edge Analytics Market Research Report – Industry Analysis, Size, Share, Growth, Trends and Forecast Till 2026Global Customer Journey Analytics Market Research Report – Industry Analysis, Size, Share, Growth, Trends and Forecast Till 2026Global Streaming Analytics Market Research Report – Industry Analysis, Size, Share, Growth, Trends and Forecast Till 2026About-Us:DecisionDatabases.com is a global business research reports provider, enriching decision makers and strategists with qualitative statistics.
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The tools are becoming more powerful, and the results are becoming more informative.
How Predictive Analytics helps in Healthcare
The researchers, as well as doctors, can benefit from predictive analytics to see what can happen.
The more data you have, the more accurate and detailed result you will get (like a trend line or risk score.)
All these insights give a foundation for prescriptive analytics, which also calculates probabilities.
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