미국의 의료 분석 시장 : 점유율 분석, 업계 동향과 통계, 성장 예측(2026-2031년)

According to Mordor Intelligence, the united states healthcare analytics market size is projected to expand from USD 22.86 billion in 2025 and USD 28.18 billion in 2026 to USD 80.14 billion by 2031, registering a CAGR of 23.25% between 2026 to 2031.

This report is Segmented by Analytics Type (Descriptive, Diagnostic, Predictive, Prescriptive, Cognitive/Augmented), Component (Hardware, Software, Services), Delivery Mode (On-Premise, Cloud-Based, Hybrid), Application (Clinical, Financial/RCM, Operational, Population Health, Fraud, Life-Sciences), and End User (Providers, Payers, Life-Sciences, Public Health). Forecasts in Value (USD).

United States Healthcare Analytics Market Trends and Insights

Value-Based Reimbursement and Quality-Measure Accountability

The US healthcare analytics market is being pushed forward by payment reform that now requires more visible proof of cost and quality performance across Medicare programs. The CMS 2026 Physician Fee Schedule Final Rule makes clinician-level performance measurement more central to reimbursement design, which increases the practical need for platforms that can aggregate data across organizations and support provider reporting at a more granular level. This demand is not limited to providers because payers are also preparing for more value-based contract activity, with 70% of health plan respondents in the AHIP-CMS February 2026 survey expecting APM activity to increase during the next 24 months and 55% expecting the greatest growth in Category 3B shared-risk models. That dual pressure means the same contract now creates analytics demand on both sides of the healthcare payment chain. In the US healthcare analytics market, this is turning reimbursement compliance into a recurring software, services, and data integration opportunity instead of a one-time reporting exercise.

Cloud-Native AI and Self-Service Analytics Maturity

The US healthcare analytics market is also benefiting from technology shifts that lower the cost and skill threshold for deployment. Pre-trained clinical language models, low-code orchestration tools, and FHIR-native APIs are allowing mid-sized health systems to launch use cases that previously depended on dedicated data science teams. This has started to erode the protection that older platform incumbents once had, because hospitals with fewer than 400 beds can now access predictive and prescriptive capabilities without building a large in-house analytics function. The ONC 2026 Annual Meeting Report stated that 80% of US hospitals now use AI from EHR-developed tools for predicting health trajectories and 58% use AI to simplify billing, which was 15 percentage points higher than in 2023. In the US healthcare analytics market, that faster adoption is redirecting competition toward workflow fit, governance quality, and interoperability depth rather than broad claims about feature count.

Cybersecurity and PHI Exposure Across Connected Ecosystems

The US healthcare analytics market faces a direct growth constraint from cyber exposure because every new data pipeline adds another point of vulnerability. Analytics environments now combine clinical, claims, imaging, and operational records from many systems, and that interconnected design widens the attack surface faster than many organizations can harden it. In 2025, 710 large breaches were reported to HHS-OCR and affected 61.5 million individuals, while 61.5% of exposed records were stored on network servers rather than in electronic medical records, which shows how often the breach path runs through data and middleware layers. IBM reported that the average healthcare breach cost reached USD 7.42 million in 2025 and required a mean of 279 days to identify and contain, which was 38 days longer than the cross-industry average. In the US healthcare analytics market, this risk is delaying deployments, raising compliance costs, and favoring vendors that can prove stronger governance at the business-associate level.

Other drivers and restraints analyzed in the detailed report include:

1. Electronic Prior-Authorization API and Digital Quality Workflow Buildout
2. TEFCA/FHIR-Based Cross-Enterprise Data Liquidity
3. AI Validation and Governance Burden in Regulated Clinical Workflows

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

Segment Analysis

Descriptive analytics held 46.31% of US healthcare analytics market size in 2025, which shows that many organizations are still building reliable retrospective reporting before moving into more advanced model-led workflows. In the US healthcare analytics market, this concentration does not show a lack of ambition as much as it reflects the practical sequence of analytics maturity across providers and payers. Standardized reporting and dashboarding still form the operational base for quality measurement, utilization review, cost management, and executive decision support. Diagnostic and prescriptive tools remain less scaled because their value depends on cleaner source data, stronger governance, and higher trust in model outputs.

Predictive analytics is the fastest-growing segment at a 25.38% CAGR through 2031, and that growth is tied more to reimbursement and risk exposure than to pure technology novelty. The US healthcare analytics industry is moving toward earlier identification of high-cost cohorts, care gaps, and utilization risk because descriptive reporting alone cannot support mandatory risk contracting. Cognitive and augmented analytics adds another layer to this shift because peer-reviewed work in 2026 showed growing capability for multi-step clinical reasoning and enterprise-scale pattern detection. The DxDirector framework published in Nature Communications in April 2026 demonstrated full-process clinical diagnosis across multi-step reasoning chains, while npj Precision Oncology published evidence that EHR-based predictive models achieved clinical-grade early cancer detection performance across 26 cancer types. As these validations accumulate, the US healthcare analytics market is likely to reward vendors that offer cognitive capability as part of an enterprise platform instead of a disconnected group of point solutions.

Software commanded a 58.24% share in 2025, reflecting how enterprise buyers continue to prefer integrated suites with pre-built EHR connectors over fragmented point tools. In the US healthcare analytics market, that pattern has favored vendors with deeper Epic and Oracle Health alignment because integration friction remains a major buying criterion. Hardware represented a smaller part of spending as more mid-tier organizations shifted away from local compute-heavy architectures and reduced incremental investment in physical infrastructure. The US healthcare analytics industry therefore shows a component mix where platform ownership matters, but surrounding enablement work still shapes realized value.

Services is the fastest-growing component at a 25.52% CAGR through 2031 because many health systems have data but still lack the internal teams needed to operationalize it at scale. This is not only a talent issue, because the regulatory burden attached to data normalization, interoperability, and workflow compliance is also creating recurring service demand. ONC's 2026 materials noted that USCDIv3 requirements effective January 1, 2026 covered 94 data elements, which increases the ongoing need for implementation, mapping, and governance work beyond initial software deployment. In the US healthcare analytics market, service providers that combine managed analytics operations with compliance automation are likely to retain clients more effectively than firms that rely on project consulting alone. This keeps software in the lead today, but it also explains why services is becoming a faster growth engine inside the broader market.

List of Companies Covered in this Report:

1. Arcadia
2. CitiusTech, Inc.
3. Cotiviti, Inc.
4. Datavant, Inc.
5. Epic Systems
6. Flatiron Health, Inc.
7. Health Catalyst, Inc.
8. Innovaccer
9. Inovalon, Inc.
10. IQVIA
11. Komodo Health, Inc.
12. MedeAnalytics
13. Medidata Solutions, Inc.
14. Merative, L.P.
15. Microsoft
16. Optum
17. Oracle Health
18. SAS Institute
19. Socially Determined, Inc.
20. Veradigm

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 Reimbursement and Quality-Measure Accountability
  • 4.2.2 Rising Clinical, Claims, Imaging, and Operational Data Volumes
  • 4.2.3 Margin Pressure and Revenue-Cycle Optimization Demand
  • 4.2.4 Cloud-Native AI and Self-Service Analytics Maturity
  • 4.2.5 Electronic Prior-Authorization API and Digital Quality Workflow Buildout
  • 4.2.6 TEFCA/FHIR-Based Cross-Enterprise Data Liquidity
• 4.3 Market Restraints
  • 4.3.1 Cybersecurity and PHI Exposure Across Connected Ecosystems
  • 4.3.2 Legacy Integration and Semantic Interoperability Gaps
  • 4.3.3 Patchwork State Privacy Rules Limiting Secondary Data Use
  • 4.3.4 AI Validation and Governance Burden in Regulated Clinical Workflows
• 4.4 Value Chain Analysis
• 4.5 Regulatory Landscape
• 4.6 Technological Outlook
• 4.7 Porter's Five Forces
  • 4.7.1 Threat of New Entrants
  • 4.7.2 Bargaining Power of Buyers
  • 4.7.3 Bargaining Power of Suppliers
  • 4.7.4 Threat of Substitutes
  • 4.7.5 Competitive Rivalry

5 Market Size & Growth Forecasts (Value, USD)

• 5.1 By Analytics Type
  • 5.1.1 Descriptive Analytics
  • 5.1.2 Diagnostic Analytics
  • 5.1.3 Predictive Analytics
  • 5.1.4 Prescriptive Analytics
  • 5.1.5 Cognitive / Augmented Analytics
• 5.2 By Component
  • 5.2.1 Hardware
  • 5.2.2 Software
  • 5.2.3 Services
• 5.3 By Delivery Mode
  • 5.3.1 On-Premise
  • 5.3.2 Cloud-Based
  • 5.3.3 Hybrid
• 5.4 By Application
  • 5.4.1 Clinical Analytics
  • 5.4.2 Financial & Revenue-Cycle Analytics
  • 5.4.3 Operational & Administrative Analytics
  • 5.4.4 Population-Health Management
  • 5.4.5 Fraud Detection & Risk Analytics
  • 5.4.6 Life-Sciences / R&D Analytics
• 5.5 By End User
  • 5.5.1 Healthcare Providers
  • 5.5.2 Healthcare Payers
  • 5.5.3 Life-Science Companies
  • 5.5.4 Public Health Agencies

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 Arcadia
  • 6.3.2 CitiusTech, Inc.
  • 6.3.3 Cotiviti, Inc.
  • 6.3.4 Datavant, Inc.
  • 6.3.5 Epic Systems Corporation
  • 6.3.6 Flatiron Health, Inc.
  • 6.3.7 Health Catalyst, Inc.
  • 6.3.8 Innovaccer Inc.
  • 6.3.9 Inovalon, Inc.
  • 6.3.10 IQVIA Holdings Inc.
  • 6.3.11 Komodo Health, Inc.
  • 6.3.12 MedeAnalytics, Inc.
  • 6.3.13 Medidata Solutions, Inc.
  • 6.3.14 Merative, L.P.
  • 6.3.15 Microsoft Corporation
  • 6.3.16 Optum, Inc.
  • 6.3.17 Oracle Health
  • 6.3.18 SAS Institute Inc.
  • 6.3.19 Socially Determined, Inc.
  • 6.3.20 Veradigm LLC

7 Market Opportunities & Future Outlook

• 7.1 White-space & unmet-need assessment