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The global Predictive Analytics in Healthcare market was valued at US$ 2030.1 million in 2024 and is projected to reach US$ 4350.4 million by 2030, at a CAGR of 11.5% during the forecast period.

The influence of COVID-19 and the Russia-Ukraine War were considered while estimating market sizes.

Predictive analytics is used to analyze current data to predict future using data mining, statistics, modelling, artificial intelligence, and machine learning. It helps enhance various aspects in the healthcare segment. These include patient care, chronic disease management, supply chain efficiencies, and hospital administration.
This report aims to provide a comprehensive presentation of the global market for Predictive Analytics in Healthcare, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Predictive Analytics in Healthcare. This report contains market size and forecasts of Predictive Analytics in Healthcare in global, including the following market information:

• Global Predictive Analytics in Healthcare Market Revenue, 2018-2024, 2024-2030, ($ millions)
• Global top five companies in 2024 (%)

The U.S. Market is Estimated at $ Million in 2024, While China is to reach $ Million.
Software Segment to Reach $ Million by 2030, with a % CAGR in next six years.
The global key manufacturers of Predictive Analytics in Healthcare include Allscripts Healthcare Solutions, Cerner Corporation, IBM Corporation, Information Builders, MedeAnalytics, Optum, Oracle Corporation, SAS Institute and Microsoft Corporation, etc. in 2024, the global top five players have a share approximately % in terms of revenue.
We surveyed the Predictive Analytics in Healthcare companies, and industry experts on this industry, involving the revenue, demand, product type, recent developments and plans, industry trends, drivers, challenges, obstacles, and potential risks.
Total Market by Segment:
Global Predictive Analytics in Healthcare Market, by Type, 2018-2024, 2024-2030 ($ millions)
Global Predictive Analytics in Healthcare Market Segment Percentages, by Type, 2024 (%)

• Software
• Hardware
• Service

Global Predictive Analytics in Healthcare Market, by Application, 2018-2024, 2024-2030 ($ millions)
Global Predictive Analytics in Healthcare Market Segment Percentages, by Application, 2024 (%)

• Healthcare Payer
• Healthcare Provider
• Others

Global Predictive Analytics in Healthcare Market, By Region and Country, 2018-2024, 2024-2030 ($ Millions)
Global Predictive Analytics in Healthcare Market Segment Percentages, By Region and Country, 2024 (%)

• North America (United States, Canada, Mexico)
• Europe (Germany, France, United Kingdom, Italy, Spain, Rest of Europe)
• Asia-Pacific (China, India, Japan, South Korea, Australia, Rest of APAC)
• The Middle East and Africa (Middle East, Africa)
• South and Central America (Brazil, Argentina, Rest of SCA)

Competitor Analysis
The report also provides analysis of leading market participants including:

• Key companies Predictive Analytics in Healthcare revenues in global market, 2018-2024 (estimated), ($ millions)
• Key companies Predictive Analytics in Healthcare revenues share in global market, 2024 (%)

Further, the report presents profiles of competitors in the market, key players include:

• Allscripts Healthcare Solutions
• Cerner Corporation
• IBM Corporation
• Information Builders
• MedeAnalytics
• Optum
• Oracle Corporation
• SAS Institute
• Microsoft Corporation
• Verisk Analytics
• Including or Excluding key companies relevant to your analysis.

Outline of Major Chapters:

• Chapter 1: Introduces the definition of Predictive Analytics in Healthcare, market overview.
• Chapter 2: Global Predictive Analytics in Healthcare market size in revenue.
• Chapter 3: Detailed analysis of Predictive Analytics in Healthcare company competitive landscape, revenue and market share, latest development plan, merger, and acquisition information, etc.
• Chapter 4: Provides the analysis of various market segments by type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
• Chapter 5: Provides the analysis of various market segments by application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
• Chapter 6: Sales of Predictive Analytics in Healthcare in regional level and country level. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space of each country in the world.
• Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
• Chapter 8: The main points and conclusions of the report.