PUBLISHER: TechSci Research | PRODUCT CODE: 1878864
PUBLISHER: TechSci Research | PRODUCT CODE: 1878864
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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.
| Market Overview | |
|---|---|
| Forecast Period | 2026-2030 |
| Market Size 2024 | USD 15.27 Billion |
| Market Size 2030 | USD 39.98 Billion |
| CAGR 2025-2030 | 17.4% |
| Fastest Growing Segment | Software |
| Largest Market | North America |
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.
In this report, the Global Predictive Analytics in Healthcare Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:
Company Profiles: Detailed analysis of the major companies presents in the Global Predictive Analytics in Healthcare Market.
Global Predictive Analytics in Healthcare Market report with the given market data, TechSci Research offers customizations according to a company's specific needs. The following customization options are available for the report: