Healthcare Data Monetization Market Size, Share & Trends

The growing global shift from volume-based to value-based healthcare is a major driver of healthcare data monetization. Payers and providers increasingly need real-world evidence (RWE) to support outcome-based contracts, optimize clinical pathways, and demonstrate cost-effectiveness of therapies. Pharmaceutical and biotech companies are similarly relying on real-world data (RWD) to complement clinical trials, assess long-term safety and effectiveness, and support regulatory submissions. This need is fueling monetization of various datasets including clinical, claims, genomic, and behaviora by data aggregators and analytics firms. For instance, IQVIA has scaled its global real-world evidence solutions, integrating EHR and claims data from over 100 million patients to deliver insights into treatment patterns and comparative effectiveness. Tempus, a US-based precision medicine company, monetizes its large repository of de-identified clinical-genomic data by offering AI-driven solutions to biopharma clients for drug discovery and clinical trial optimization. Similarly, TriNetX provides access to a real-time clinical data network sourced from over 200 healthcare organizations, allowing pharma companies to conduct feasibility analysis, patient stratification, and protocol simulation for studies. These platforms represent a growing ecosystem where health data is increasingly seen as a strategic asset and revenue source.

Despite the rising value of health data, privacy and regulatory compliance remain major barriers to monetization. Laws such as HIPAA (US), GDPR (EU), and emerging data sovereignty regulations (e.g., India’s Digital Personal Data Protection Act, 2023) strictly govern how personal health information can be used, shared, and monetized. These rules not only limit cross-border data flows but also demand explicit patient consent and impose heavy fines for non-compliance, discouraging aggressive monetization models. In 2024, the European Data Protection Board (EDPB) issued additional restrictions on the secondary use of patient data for commercial purposes, affecting many RWE vendors operating in the EU. As a result, tech giants like Apple and Microsoft have pivoted to on-device AI and federated learning to minimize centralized data storage and better align with evolving privacy standards. In India, under the Ayushman Bharat Digital Mission (ABDM), the National Health Authority (NHA) requires that health data be stored within national borders, limiting how global companies access and monetize this data. These growing regulatory hurdles are compelling organizations to develop more privacy-preserving technologies to enable ethical and compliant monetization.

AI-powered analytics combined with advanced technologies such as federated learning, blockchain, and multimodal data integration are unlocking new ways to monetize real-world data (RWD) without breaching patient privacy. These secure platforms are enabling pharmaceutical companies, research institutions, and health tech firms to generate novel insights across clinical development, diagnostics, and personalized medicine.

A core operational barrier to effective healthcare data monetization lies in the fragmentation and lack of interoperability across the healthcare ecosystem. Patient data is often dispersed across disparate systems—including electronic health records (EHRs), payer claims databases, diagnostic labs, pharmacy records, and research registries—many of which rely on incompatible formats or outdated technologies. This fragmentation impedes the construction of a comprehensive, longitudinal view of patient journeys, which is critical for extracting meaningful insights and generating value from data. Major EHR vendors such as Epic and Oracle Health (formerly Cerner) continue to face industry criticism for their closed architectures and limited support for seamless data exchange. In an effort to address these issues, the U.S. government launched the Trusted Exchange Framework and Common Agreement (TEFCA) in December 2024, aiming to enable secure, standardized health information exchange. However, the rollout has been inconsistent and slow, hindering widespread adoption.