임상 분석 플랫폼 시장 : 시장 점유율 분석, 업계 동향 및 통계, 성장 예측(2026-2031년)

According to Mordor Intelligence, the clinical analytics platforms market size is expected to grow from USD 26.78 billion in 2025 to USD 32.02 billion in 2026 and is forecast to reach USD 78.37 billion by 2031 at 19.60% CAGR over 2026-2031.

This report is Segmented by Offering (Raw Data, Software, Platform), Deployment Model (Cloud-Based, On-Premises, Hybrid), Data Source (EHR, Claims, Clinical Trials, RWE, Imaging, Lab & Pathology, Others), Use Case (Healthcare, Life Sciences), End User (Providers, Payers, Life Sciences and Others), and Geography (North America, Europe, Asia-Pacific, MEA, South America). Forecasts in Value (USD).

Global Clinical Analytics Platforms Market Trends and Insights

Value-Based Care and Outcome-Linked Reimbursement

CMS introduced the ACCESS Model on July 5, 2026, a 10-year voluntary initiative linking reimbursements to measurable outcomes in chronic disease management rather than service volume. By 2030, CMS aims to place all Traditional Medicare beneficiaries in accountable care relationships, driving demand for analytics to monitor performance, stratify risk, and enable early intervention. This shift rewards organizations that proactively manage risks during care, positioning clinical analytics platforms as integral to reimbursement processes. Vendors combining population health analytics with actionable workflows are better positioned than those focusing solely on retrospective reporting.

Cloud and AI/ML Modernization of Healthcare Data Infrastructure

Healthcare systems are consolidating fragmented analytics into cloud-native platforms that support operational analytics, clinical AI, and research from a unified data layer. UNC Health's adoption of Microsoft Fabric highlights efforts to streamline data-to-insight processes. Cloud modernization reduces engineering bottlenecks, accelerating model development and workflow deployment. IQVIA's launch of IQVIA.ai in March 2026, supported by over 100 AI patents and 150 intelligent agents, underscores the rapid integration of AI into clinical workflows. Vendors offering scalable infrastructure with curated, clinically relevant data are likely to gain a competitive edge.

Data Privacy, Security, and Governance Burden

Clinical AI workflows manage sensitive health data across ingestion, inference, storage, and monitoring, often exceeding the capabilities of traditional compliance models. This challenge grows when platforms operate across providers, payers, and life sciences, each with unique controls and approval processes. The clinical analytics platforms market is under pressure to adopt privacy-focused architectures like federated analytics, localized processing, and strict auditability. Japan's NTT Precision Medicine Platform, built on OMOP CDM with a federated design, demonstrates how analytical value can be achieved without moving patient data, which is critical in privacy-sensitive regions.

Other drivers and restraints analyzed in the detailed report include:

1. CMS Interoperability and Prior-Authorization API Mandates
2. Regulatory Openness to Real-World Evidence and Precision Medicine
3. Data Quality, Standardization, and Legacy Interoperability

For complete list of drivers and restraints, kindly check the Table Of Contents.

Segment Analysis

In 2025, Raw Data held a 37.10% share of the clinical analytics platforms market, highlighting significant investments in data acquisition, de-identification, harmonization, and creating research-ready assets. Software remains critical, offering modular tools for clinical decision support, population health, and revenue cycle analytics. Platforms are the fastest-growing segment, with a 22.70% CAGR during 2026-2031, driven by the shift toward unified environments integrating ingestion, governance, analytics, and AI inferencing.

Vendor strategies reflect this shift. IQVIA reported USD 16.3 billion in revenue in 2025, leveraging proprietary healthcare data and advancing AI-enabled platforms and workflow tools. Flatiron Health's 2026 launch of Telescope, a multi-agent adaptive analytics platform, demonstrates how vendors monetize data through AI-native interfaces, simplifying infrastructure navigation.

On-premises deployment accounted for 60.95% of revenue in 2025, driven by institutional data sovereignty, prior infrastructure investments, and strict PHI handling preferences. Many integrated delivery networks rely on private environments for sensitive workloads tied to legacy processes. However, cloud-based deployment is the fastest-growing segment, with a 22.55% CAGR during 2026-2031, as investments shift to scalable AI-ready infrastructure.

Innovaccer's 2026 partnership with Snowflake highlights rising cloud adoption, linking the Gravity platform with Snowflake's AI Data Cloud to support enterprise-scale AI workflows. Hybrid deployment remains vital for organizations balancing local control over legacy systems with cloud-based analytics and AI expansion, especially in Europe and parts of Asia-Pacific, where data residency and sovereign AI infrastructure priorities influence decisions.

Geography Analysis

In 2025, North America accounted for 41.12% of the clinical analytics platforms market, making it the largest and most mature region for enterprise clinical analytics adoption. The U.S. drives growth in the region due to value-based care, extensive EHR penetration, and payer-provider data exchange requirements. Additionally, CMS-0057-F encouraged the adoption of FHIR-based APIs to enhance data flow across claims, prior authorizations, and provider records. Canada contributes through provincial health data initiatives, while Mexico, though in earlier stages, is advancing within large urban hospital systems.

Asia-Pacific is the fastest-growing region in the clinical analytics platforms market, with a projected CAGR of 20.20% through 2031. Growth is driven by healthcare digitalization, expanding clinical trial activities, and government focus on structured health data environments. In January 2026, Fujitsu Japan and JMDC linked anonymized DPC hospital data with insurer records, covering 20 million records, enhancing patient journey analysis for pharmaceutical and public sector applications. China is scaling rapidly, with platforms like MSTATA supporting over 1,200 SCI publications since 2024, reflecting widespread adoption across hospital networks.

Europe remains technically advanced but is shaped by privacy, sovereignty, and regulatory infrastructure. Germany's NUKLEUS platform expanded in July 2025 to support adaptive clinical platform studies and leverage statutory health insurance and cancer registry data across university hospitals. The Middle East and Africa are advancing through sovereign AI healthcare investments, highlighted by the Oracle, Cleveland Clinic, and G42 partnership announced in May 2025. South America, despite progress in digitalization in Brazil and Argentina, remains the smallest regional market.

1. eClinicalWorks
2. Flatiron Health, Inc.
3. GE HealthCare Technologies Inc.
4. Health Catalyst, Inc.
5. Innovaccer
6. Inovalon, Inc.
7. Intersystems
8. IQVIA
9. Komodo Health, Inc.
10. Koninklijke Philips
11. MedeAnalytics
12. Medidata Solutions, Inc.
13. Merative
14. Optum
15. Oracle
16. SAS Institute
17. Siemens Healthineers
18. SOPHiA GENETICS SA
19. Tempus AI, Inc.
20. Veeva Systems
21. Veradigm Inc.

Additional Benefits:

• The market estimate (ME) sheet in Excel format
• 3 months of analyst support

TABLE OF CONTENTS

1 Introduction

• 1.1 Study Assumptions & Market Definition
• 1.2 Scope of the Study

2 Research Methodology

3 Executive Summary

4 Market Landscape

• 4.1 Market Overview
• 4.2 Market Drivers
  • 4.2.1 Value-Based Care and Outcome-Linked Reimbursement Adoption
  • 4.2.2 Explosion of Multimodal Clinical Data Across Care Settings
  • 4.2.3 Cloud And AI/ML Modernization of Healthcare Data Infrastructure
  • 4.2.4 Regulatory Openness to Real-World Evidence and Precision Medicine Analytics
  • 4.2.5 Bulk FHIR and Population-Level API Maturation
  • 4.2.6 CMS Interoperability and Prior-Authorization API Mandates Converting Workflow Pain into Software Budgets
• 4.3 Market Restraints
  • 4.3.1 Data Privacy, Security, and Governance Burden
  • 4.3.2 Data Quality, Standardization, and Legacy Interoperability Gaps
  • 4.3.3 Post-Deployment Model Drift and Fragmented Accountability
  • 4.3.4 Workflow Backlash from Alert Fatigue, Low Trust, and Hidden Implementation Labor
• 4.4 Value / Supply-Chain Analysis
• 4.5 Regulatory Landscape
• 4.6 Technological Outlook
• 4.7 Porter's Five Forces Analysis
  • 4.7.1 Threat of New Entrants
  • 4.7.2 Bargaining Power of Suppliers
  • 4.7.3 Bargaining Power of Buyers
  • 4.7.4 Threat of Substitutes
  • 4.7.5 Competitive Rivalry

5 Market Size & Growth Forecasts (Value, USD)

• 5.1 By Offering
  • 5.1.1 Raw Data
  • 5.1.2 Software
  • 5.1.3 Platform
• 5.2 By Deployment Model
  • 5.2.1 Cloud-based
  • 5.2.2 On-premises
  • 5.2.3 Hybrid
• 5.3 By Data Source
  • 5.3.1 Electronic Health Records
  • 5.3.2 Claims Data
  • 5.3.3 Clinical Trials Data
  • 5.3.4 Registries & Real-World Evidence
  • 5.3.5 Imaging & Diagnostics
  • 5.3.6 Lab & Pathology
  • 5.3.7 Others
• 5.4 By Use Case
  • 5.4.1 Healthcare
  • 5.4.2 Life Sciences
• 5.5 By End User
  • 5.5.1 Healthcare Providers
  • 5.5.2 Healthcare Payers
  • 5.5.3 Life Sciences Companies
  • 5.5.4 Others
• 5.6 By Geography
  • 5.6.1 North America
    • 5.6.1.1 United States
    • 5.6.1.2 Canada
    • 5.6.1.3 Mexico
  • 5.6.2 Europe
    • 5.6.2.1 Germany
    • 5.6.2.2 United Kingdom
    • 5.6.2.3 France
    • 5.6.2.4 Italy
    • 5.6.2.5 Spain
    • 5.6.2.6 Rest of Europe
  • 5.6.3 Asia-Pacific
    • 5.6.3.1 China
    • 5.6.3.2 India
    • 5.6.3.3 Japan
    • 5.6.3.4 Australia
    • 5.6.3.5 South Korea
    • 5.6.3.6 Rest of Asia-Pacific
  • 5.6.4 Middle East and Africa
    • 5.6.4.1 GCC
    • 5.6.4.2 South Africa
    • 5.6.4.3 Rest of Middle East and Africa
  • 5.6.5 South America
    • 5.6.5.1 Brazil
    • 5.6.5.2 Argentina
    • 5.6.5.3 Rest of South America

6 Competitive Landscape

• 6.1 Market Concentration
• 6.2 Market Share Analysis
• 6.3 Company Profiles (includes Global level Overview, Market level overview, Core Segments, Financials as available, Strategic Information, Market Rank/Share for key companies, Products & Services, and Recent Developments)
  • 6.3.1 eClinicalWorks, LLC
  • 6.3.2 Flatiron Health, Inc.
  • 6.3.3 GE HealthCare Technologies Inc.
  • 6.3.4 Health Catalyst, Inc.
  • 6.3.5 Innovaccer Inc.
  • 6.3.6 Inovalon, Inc.
  • 6.3.7 InterSystems Corporation
  • 6.3.8 IQVIA Holdings Inc.
  • 6.3.9 Komodo Health, Inc.
  • 6.3.10 Koninklijke Philips N.V.
  • 6.3.11 MedeAnalytics, Inc.
  • 6.3.12 Medidata Solutions, Inc.
  • 6.3.13 Merative
  • 6.3.14 Optum, Inc.
  • 6.3.15 Oracle Corporation
  • 6.3.16 SAS Institute Inc.
  • 6.3.17 Siemens Healthineers AG
  • 6.3.18 SOPHiA GENETICS SA
  • 6.3.19 Tempus AI, Inc.
  • 6.3.20 Veeva Systems Inc.
  • 6.3.21 Veradigm Inc.

7 Market Opportunities & Future Outlook

• 7.1 White-space & Unmet-need Assessment