(MENAFN- GlobeNewsWire - Nasdaq) Main opportunities in predictive analytics for healthcare involve leveraging AI and machine learning to improve patient outcomes, identify disease trends, and enhance clinical decisions. A shift towards preventive care supports market growth, although integration challenges and data security remain hurdles.Dublin, Dec. 01, 2025 (GLOBE NEWSWIRE) -- The "Predictive Analytics in Healthcare Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, 2020-2030F" report has been added to ResearchAndMarkets's offering.
The Global Predictive Analytics in Healthcare Market, valued at USD 15.27 Billion in 2024, is projected to experience a CAGR of 17.40% to reach USD 39.98 Billion by 2030. Predictive analytics in healthcare utilizes historical and real-time medical data, employing statistical modeling, machine learning, and artificial intelligence, to forecast future patient outcomes, identify disease trends, and optimize operational and clinical decisions.
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Key Market Drivers
Advancements in artificial intelligence and machine learning technologies serve as a primary driver for the global predictive analytics in healthcare market. These innovations facilitate the profound analysis of extensive and intricate datasets, moving beyond traditional methods to accurately forecast patient outcomes, identify disease patterns, and guide clinical decisions. According to Vention's 'AI in Healthcare 2024 Statistics: Market Size, Adoption, Impact' report, in 2023, 39 percent of surveyed healthcare leaders planned to invest in AI to predict outcomes and support clinical decisions, highlighting the direct application of these technologies. This continuous evolution in analytical capabilities underpins the expansion of predictive analytics.
Key Market Challenges
A significant challenge impeding the expansion of the Global Predictive Analytics in Healthcare Market is the widespread hesitation in embracing new analytical innovations. This reluctance stems from ongoing concerns regarding data privacy and security, alongside the inherent complexities of integrating advanced analytics into disparate existing healthcare infrastructure. The sensitive nature of patient health information necessitates rigorous security protocols and compliance with various regulatory frameworks, which organizations often find difficult and costly to implement effectively.
Key Market Trends
The shift towards proactive and preventive healthcare models significantly influences the global predictive analytics market. This trend moves care from reactive treatment to anticipating and averting health issues, thereby improving patient outcomes and potentially reducing long-term costs. Predictive analytics enables early identification of high-risk individuals through comprehensive data analysis for targeted interventions. For instance, in September 2025, UnitedHealth Group launched an AI-powered preventive health platform for chronic disease risk assessment, analyzing patient data to recommend personalized lifestyle interventions, showing early success in reducing hospitalizations.
Key Attributes:
| Report Attribute | Details |
| No. of Pages | 183 |
| Forecast Period | 2024 - 2030 |
| Estimated Market Value (USD) in 2024 | $15.27 Billion |
| Forecasted Market Value (USD) by 2030 | $39.98 Billion |
| Compound Annual Growth Rate | 17.4% |
| Regions Covered | Global |
Key Market Players Profiled:
International Business Machines Corporation Unitedhealth Group. Oracle Cerner Microsoft Corporation Veradigm LLC Verisk Analytics, Inc MedeAnalytics, Inc. Cloud Software Group, Inc. SAS Institute, Inc. Health Catalyst
Report Scope:
By Application:
Clinical Decision & Diagnosis Support (CDS) Risk Prediction & Scoring Demand Forecast Drug Discovery Disease & Cancer Detection Fraud Detection Others
By Component:
Hardware Software Services
By End User:
Healthcare Providers Healthcare Payers Others
By Deployment Mode:
By Region:
North America Europe Asia-Pacific South America Middle East & Africa
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Predictive Analytics in Healthcare Market
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