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The market is characterized by the presence of several key players and a focus on technological innovation and strategic partnerships. Companies are investing in AI-driven analytics platforms that provide deeper insights into disease patterns and patient outcomes. Additionally, there is a growing focus on integrating predictive analytics with real-time data sources, such as wearable health devices and electronic health records (EHRs), to enable more timely and personalized interventions. Partnerships between tech firms and healthcare providers are also increasing, driving innovation and expanding the adoption of predictive analytics solutions across various healthcare sectors.
Prominent players operating in the predictive disease analytics industry include:
Anaconda Inc., Allscripts Healthcare Solutions Inc., Apixio Inc., Epic System Corporation, Health Catalyst, IBM, McKesson Corporation, and MedeAnalytics, Inc.
North America predictive disease analytics industry size is anticipated to grow at 20.9% CAGR between 2024 and 2032 driven by the increasing emphasis on value-based healthcare and cost containment.
The predictive disease analytics industry was valued at USD 2.5 billion in 2023 and is expected to exhibit 21.7% CAGR from 2024 to 2032 attributed to increasing focus on streamlining of healthcare processes, and extensive advancements in AI and machine learning technologies.
The healthcare payers end-use segment in the market is anticipated to reach USD 9.6 billion by 2032 due to the increasing emphasis on cost control and risk management in the payer sector.