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Healthcare Fraud Analytics Market - Global Forecast 2026-2032- Product Image
Healthcare Fraud Analytics Market - Global Forecast 2026-2032- Product Image
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Healthcare Fraud Analytics Market - Global Forecast 2026-2032

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    Report

  • 180 Pages
  • January 2026
  • Region: Global
  • 360iResearch™
  • ID: 5532716
1h Free Analyst Time
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The Healthcare Fraud Analytics Market is rapidly evolving in response to rising fraud risks, regulatory scrutiny, and the demand for efficient, resilient healthcare operations. Senior decision-makers require actionable insights to navigate a complex landscape of advanced analytics, governance, and technology solutions.

Market Snapshot

The global Healthcare Fraud Analytics Market expanded from USD 9.85 billion in 2025 to USD 11.87 billion in 2026, demonstrating robust growth and anticipated to reach USD 37.16 billion by 2032 at a CAGR of 20.87%. Market development is driven by the digitization of healthcare, advances in analytics, and growing threats from increasingly sophisticated fraud schemes. Organizations across payers, providers, and regulatory bodies are intensifying investments in predictive technologies, modular solutions, and cross-functional programs to protect both financial and patient interests.

Scope & Segmentation

  • Component Choices: Coverage includes both software platforms and managed services, addressing organizations’ need for flexibility, control, and speed of deployment.
  • Deployment Architectures: Analysis addresses cloud, hybrid, and on-premise models, clarifying their role in scalability, data sovereignty, and operational integration.
  • User Types: The research segments end users as government agencies, payers, pharmaceutical firms, providers, and third-party administrators—each with distinct compliance, efficiency, and investigative priorities.
  • Analytics Modalities: Explores compliance, detection, prevention, investigation, recovery, and risk assessment capabilities, including retrospective and near real-time detection methods.
  • Application Focus: Market segmentation spans domains such as billing and coding analytics, claim analytics, network analytics, patient analytics, and provider analytics, highlighting functional diversity.
  • Regional Dynamics: Analysis covers Americas, Europe, Middle East & Africa, and Asia-Pacific, with insights into regulatory influences, interoperability needs, and differing approaches to cross-border intelligence sharing.
  • Technology Use: Examines the adoption of artificial intelligence, machine learning, federated learning, and privacy-preserving techniques as key technological levers in fraud detection and investigation.

Healthcare Fraud Analytics Market: Key Takeaways

  • Effective fraud analytics depend on the alignment of analytics, governance, and cross-functional coordination to withstand evolving fraud threats and maintain operational integrity.
  • Modern artificial intelligence and rich data ecosystems enable probabilistic detection and behavioral baselining, but require robust data governance and model explainability for auditability and compliance.
  • Operational integration of analytics within clinical and compliance workflows enhances case prioritization and accelerates actionable recoveries.
  • Collaborative governance and multidisciplinary teams, including IT, clinical, and investigative expertise, strengthen detection impact and investigative efficiency.
  • Vendor partnerships and modular technology strategies support procurement agility and enable organizations to adapt to evolving regulatory and market conditions.
  • Regional regulatory diversity and unique health system architectures demand flexible solutions configured to local privacy, consent, and operational requirements.

Tariff Impact on Procurement and Deployment

Recent trade policy changes, including tariffs introduced in 2025, have influenced technology procurement decisions by increasing cost pressures on imported software and hardware components. This environment has prompted healthcare organizations to:

  • Reassess sourcing strategies and negotiate vendor terms that better reflect current cost dynamics.
  • Prioritize modular, cloud-native solutions that facilitate rapid deployment, incremental upgrades, and resilience against supply chain disruptions.
  • Invest in localizing core infrastructure and decoupling analytic workloads from geography-specific hardware where feasible.
  • Consider flexible consumption and managed service models to optimize capital outlays and reduce exposure to global supply volatility.

Methodology & Data Sources

This report utilizes mixed methods research, incorporating interviews and workshops with healthcare payers, providers, regulatory experts, and technology vendors. Primary insights are validated through systematic policy review and industry analysis, ensuring findings reflect both operational realities and technical best practices.

Why This Report Matters

  • This research supports senior leaders in designing robust governance, data quality, and modular technology programs tailored to complex fraud risks.
  • Actionable recommendations on cross-functional coordination, vendor selection, and regional adaptation help organizations accelerate detection, streamline investigative workflows, and protect financial and patient integrity.
  • Comprehensive segmentation insights enable informed technology investments that align with evolving compliance, privacy, and operational requirements.

Conclusion

Healthcare fraud analytics depends on the interplay of technology, multidisciplinary governance, and seamless operational integration. With strategic investment and adaptive operating models, organizations can build resilient, future-ready programs to mitigate fraud risks while supporting care quality and privacy.

 

Additional Product Information:

  • Purchase of this report includes 1 year online access with quarterly updates.
  • This report can be updated on request. Please contact our Customer Experience team using the Ask a Question widget on our website.

Table of Contents

1. Preface
1.1. Objectives of the Study
1.2. Market Definition
1.3. Market Segmentation & Coverage
1.4. Years Considered for the Study
1.5. Currency Considered for the Study
1.6. Language Considered for the Study
1.7. Key Stakeholders
2. Research Methodology
2.1. Introduction
2.2. Research Design
2.2.1. Primary Research
2.2.2. Secondary Research
2.3. Research Framework
2.3.1. Qualitative Analysis
2.3.2. Quantitative Analysis
2.4. Market Size Estimation
2.4.1. Top-Down Approach
2.4.2. Bottom-Up Approach
2.5. Data Triangulation
2.6. Research Outcomes
2.7. Research Assumptions
2.8. Research Limitations
3. Executive Summary
3.1. Introduction
3.2. CXO Perspective
3.3. Market Size & Growth Trends
3.4. Market Share Analysis, 2025
3.5. FPNV Positioning Matrix, 2025
3.6. New Revenue Opportunities
3.7. Next-Generation Business Models
3.8. Industry Roadmap
4. Market Overview
4.1. Introduction
4.2. Industry Ecosystem & Value Chain Analysis
4.2.1. Supply-Side Analysis
4.2.2. Demand-Side Analysis
4.2.3. Stakeholder Analysis
4.3. Porter’s Five Forces Analysis
4.4. PESTLE Analysis
4.5. Market Outlook
4.5.1. Near-Term Market Outlook (0-2 Years)
4.5.2. Medium-Term Market Outlook (3-5 Years)
4.5.3. Long-Term Market Outlook (5-10 Years)
4.6. Go-to-Market Strategy
5. Market Insights
5.1. Consumer Insights & End-User Perspective
5.2. Consumer Experience Benchmarking
5.3. Opportunity Mapping
5.4. Distribution Channel Analysis
5.5. Pricing Trend Analysis
5.6. Regulatory Compliance & Standards Framework
5.7. ESG & Sustainability Analysis
5.8. Disruption & Risk Scenarios
5.9. Return on Investment & Cost-Benefit Analysis
6. Cumulative Impact of United States Tariffs 2025
7. Cumulative Impact of Artificial Intelligence 2025
8. Healthcare Fraud Analytics Market, by Components
8.1. Services
8.2. Software
9. Healthcare Fraud Analytics Market, by Analytics Type
9.1. Compliance
9.2. Detection
9.3. Investigation
9.4. Prevention
9.5. Recovery
9.6. Risk Assessment
10. Healthcare Fraud Analytics Market, by Applications
10.1. Billing And Coding Analytics
10.2. Claim Analytics
10.3. Network Analytics
10.4. Patient Analytics
10.5. Provider Analytics
11. Healthcare Fraud Analytics Market, by End Users
11.1. Government Agencies
11.2. Pharmaceutical Companies
11.3. Third Party Administrators
12. Healthcare Fraud Analytics Market, by Deployment Mode
12.1. Cloud
12.2. On Premise
13. Healthcare Fraud Analytics Market, by Region
13.1. Americas
13.1.1. North America
13.1.2. Latin America
13.2. Europe, Middle East & Africa
13.2.1. Europe
13.2.2. Middle East
13.2.3. Africa
13.3. Asia-Pacific
14. Healthcare Fraud Analytics Market, by Group
14.1. ASEAN
14.2. GCC
14.3. European Union
14.4. BRICS
14.5. G7
14.6. NATO
15. Healthcare Fraud Analytics Market, by Country
15.1. United States
15.2. Canada
15.3. Mexico
15.4. Brazil
15.5. United Kingdom
15.6. Germany
15.7. France
15.8. Russia
15.9. Italy
15.10. Spain
15.11. China
15.12. India
15.13. Japan
15.14. Australia
15.15. South Korea
16. United States Healthcare Fraud Analytics Market
17. China Healthcare Fraud Analytics Market
18. Competitive Landscape
18.1. Market Concentration Analysis, 2025
18.1.1. Concentration Ratio (CR)
18.1.2. Herfindahl Hirschman Index (HHI)
18.2. Recent Developments & Impact Analysis, 2025
18.3. Product Portfolio Analysis, 2025
18.4. Benchmarking Analysis, 2025
18.5. Change Healthcare LLC
18.6. Cotiviti, LLC
18.7. DXC Technology Company
18.8. Experian Information Solutions, Inc.
18.9. Fair Isaac Corporation
18.10. International Business Machines Corporation
18.11. LexisNexis Risk Solutions Inc.
18.12. Microsoft Corporation
18.13. NICE Ltd.
18.14. NoFraud
18.15. Optum, Inc.
18.16. Oracle Corporation
18.17. Riskified Ltd.
18.18. Sagitec Solutions
18.19. SAP SE
18.20. SAS Institute Inc.
List of Figures
FIGURE 1. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, 2018-2032 (USD MILLION)
FIGURE 2. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SHARE, BY KEY PLAYER, 2025
FIGURE 3. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET, FPNV POSITIONING MATRIX, 2025
FIGURE 4. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY COMPONENTS, 2025 VS 2026 VS 2032 (USD MILLION)
FIGURE 5. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY ANALYTICS TYPE, 2025 VS 2026 VS 2032 (USD MILLION)
FIGURE 6. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY APPLICATIONS, 2025 VS 2026 VS 2032 (USD MILLION)
FIGURE 7. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY END USERS, 2025 VS 2026 VS 2032 (USD MILLION)
FIGURE 8. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY DEPLOYMENT MODE, 2025 VS 2026 VS 2032 (USD MILLION)
FIGURE 9. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY REGION, 2025 VS 2026 VS 2032 (USD MILLION)
FIGURE 10. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY GROUP, 2025 VS 2026 VS 2032 (USD MILLION)
FIGURE 11. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY COUNTRY, 2025 VS 2026 VS 2032 (USD MILLION)
FIGURE 12. UNITED STATES HEALTHCARE FRAUD ANALYTICS MARKET SIZE, 2018-2032 (USD MILLION)
FIGURE 13. CHINA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, 2018-2032 (USD MILLION)
List of Tables
TABLE 1. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, 2018-2032 (USD MILLION)
TABLE 2. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY COMPONENTS, 2018-2032 (USD MILLION)
TABLE 3. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY SERVICES, BY REGION, 2018-2032 (USD MILLION)
TABLE 4. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY SERVICES, BY GROUP, 2018-2032 (USD MILLION)
TABLE 5. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY SERVICES, BY COUNTRY, 2018-2032 (USD MILLION)
TABLE 6. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY SOFTWARE, BY REGION, 2018-2032 (USD MILLION)
TABLE 7. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY SOFTWARE, BY GROUP, 2018-2032 (USD MILLION)
TABLE 8. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY SOFTWARE, BY COUNTRY, 2018-2032 (USD MILLION)
TABLE 9. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY ANALYTICS TYPE, 2018-2032 (USD MILLION)
TABLE 10. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY COMPLIANCE, BY REGION, 2018-2032 (USD MILLION)
TABLE 11. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY COMPLIANCE, BY GROUP, 2018-2032 (USD MILLION)
TABLE 12. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY COMPLIANCE, BY COUNTRY, 2018-2032 (USD MILLION)
TABLE 13. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY DETECTION, BY REGION, 2018-2032 (USD MILLION)
TABLE 14. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY DETECTION, BY GROUP, 2018-2032 (USD MILLION)
TABLE 15. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY DETECTION, BY COUNTRY, 2018-2032 (USD MILLION)
TABLE 16. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY INVESTIGATION, BY REGION, 2018-2032 (USD MILLION)
TABLE 17. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY INVESTIGATION, BY GROUP, 2018-2032 (USD MILLION)
TABLE 18. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY INVESTIGATION, BY COUNTRY, 2018-2032 (USD MILLION)
TABLE 19. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY PREVENTION, BY REGION, 2018-2032 (USD MILLION)
TABLE 20. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY PREVENTION, BY GROUP, 2018-2032 (USD MILLION)
TABLE 21. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY PREVENTION, BY COUNTRY, 2018-2032 (USD MILLION)
TABLE 22. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY RECOVERY, BY REGION, 2018-2032 (USD MILLION)
TABLE 23. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY RECOVERY, BY GROUP, 2018-2032 (USD MILLION)
TABLE 24. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY RECOVERY, BY COUNTRY, 2018-2032 (USD MILLION)
TABLE 25. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY RISK ASSESSMENT, BY REGION, 2018-2032 (USD MILLION)
TABLE 26. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY RISK ASSESSMENT, BY GROUP, 2018-2032 (USD MILLION)
TABLE 27. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY RISK ASSESSMENT, BY COUNTRY, 2018-2032 (USD MILLION)
TABLE 28. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY APPLICATIONS, 2018-2032 (USD MILLION)
TABLE 29. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY BILLING AND CODING ANALYTICS, BY REGION, 2018-2032 (USD MILLION)
TABLE 30. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY BILLING AND CODING ANALYTICS, BY GROUP, 2018-2032 (USD MILLION)
TABLE 31. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY BILLING AND CODING ANALYTICS, BY COUNTRY, 2018-2032 (USD MILLION)
TABLE 32. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY CLAIM ANALYTICS, BY REGION, 2018-2032 (USD MILLION)
TABLE 33. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY CLAIM ANALYTICS, BY GROUP, 2018-2032 (USD MILLION)
TABLE 34. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY CLAIM ANALYTICS, BY COUNTRY, 2018-2032 (USD MILLION)
TABLE 35. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY NETWORK ANALYTICS, BY REGION, 2018-2032 (USD MILLION)
TABLE 36. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY NETWORK ANALYTICS, BY GROUP, 2018-2032 (USD MILLION)
TABLE 37. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY NETWORK ANALYTICS, BY COUNTRY, 2018-2032 (USD MILLION)
TABLE 38. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY PATIENT ANALYTICS, BY REGION, 2018-2032 (USD MILLION)
TABLE 39. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY PATIENT ANALYTICS, BY GROUP, 2018-2032 (USD MILLION)
TABLE 40. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY PATIENT ANALYTICS, BY COUNTRY, 2018-2032 (USD MILLION)
TABLE 41. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY PROVIDER ANALYTICS, BY REGION, 2018-2032 (USD MILLION)
TABLE 42. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY PROVIDER ANALYTICS, BY GROUP, 2018-2032 (USD MILLION)
TABLE 43. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY PROVIDER ANALYTICS, BY COUNTRY, 2018-2032 (USD MILLION)
TABLE 44. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY END USERS, 2018-2032 (USD MILLION)
TABLE 45. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY GOVERNMENT AGENCIES, BY REGION, 2018-2032 (USD MILLION)
TABLE 46. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY GOVERNMENT AGENCIES, BY GROUP, 2018-2032 (USD MILLION)
TABLE 47. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY GOVERNMENT AGENCIES, BY COUNTRY, 2018-2032 (USD MILLION)
TABLE 48. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY PHARMACEUTICAL COMPANIES, BY REGION, 2018-2032 (USD MILLION)
TABLE 49. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY PHARMACEUTICAL COMPANIES, BY GROUP, 2018-2032 (USD MILLION)
TABLE 50. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY PHARMACEUTICAL COMPANIES, BY COUNTRY, 2018-2032 (USD MILLION)
TABLE 51. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY THIRD PARTY ADMINISTRATORS, BY REGION, 2018-2032 (USD MILLION)
TABLE 52. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY THIRD PARTY ADMINISTRATORS, BY GROUP, 2018-2032 (USD MILLION)
TABLE 53. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY THIRD PARTY ADMINISTRATORS, BY COUNTRY, 2018-2032 (USD MILLION)
TABLE 54. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY DEPLOYMENT MODE, 2018-2032 (USD MILLION)
TABLE 55. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY CLOUD, BY REGION, 2018-2032 (USD MILLION)
TABLE 56. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY CLOUD, BY GROUP, 2018-2032 (USD MILLION)
TABLE 57. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY CLOUD, BY COUNTRY, 2018-2032 (USD MILLION)
TABLE 58. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY ON PREMISE, BY REGION, 2018-2032 (USD MILLION)
TABLE 59. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY ON PREMISE, BY GROUP, 2018-2032 (USD MILLION)
TABLE 60. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY ON PREMISE, BY COUNTRY, 2018-2032 (USD MILLION)
TABLE 61. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY REGION, 2018-2032 (USD MILLION)
TABLE 62. AMERICAS HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY SUBREGION, 2018-2032 (USD MILLION)
TABLE 63. AMERICAS HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY COMPONENTS, 2018-2032 (USD MILLION)
TABLE 64. AMERICAS HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY ANALYTICS TYPE, 2018-2032 (USD MILLION)
TABLE 65. AMERICAS HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY APPLICATIONS, 2018-2032 (USD MILLION)
TABLE 66. AMERICAS HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY END USERS, 2018-2032 (USD MILLION)
TABLE 67. AMERICAS HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY DEPLOYMENT MODE, 2018-2032 (USD MILLION)
TABLE 68. NORTH AMERICA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
TABLE 69. NORTH AMERICA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY COMPONENTS, 2018-2032 (USD MILLION)
TABLE 70. NORTH AMERICA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY ANALYTICS TYPE, 2018-2032 (USD MILLION)
TABLE 71. NORTH AMERICA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY APPLICATIONS, 2018-2032 (USD MILLION)
TABLE 72. NORTH AMERICA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY END USERS, 2018-2032 (USD MILLION)
TABLE 73. NORTH AMERICA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY DEPLOYMENT MODE, 2018-2032 (USD MILLION)
TABLE 74. LATIN AMERICA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
TABLE 75. LATIN AMERICA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY COMPONENTS, 2018-2032 (USD MILLION)
TABLE 76. LATIN AMERICA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY ANALYTICS TYPE, 2018-2032 (USD MILLION)
TABLE 77. LATIN AMERICA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY APPLICATIONS, 2018-2032 (USD MILLION)
TABLE 78. LATIN AMERICA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY END USERS, 2018-2032 (USD MILLION)
TABLE 79. LATIN AMERICA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY DEPLOYMENT MODE, 2018-2032 (USD MILLION)
TABLE 80. EUROPE, MIDDLE EAST & AFRICA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY SUBREGION, 2018-2032 (USD MILLION)
TABLE 81. EUROPE, MIDDLE EAST & AFRICA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY COMPONENTS, 2018-2032 (USD MILLION)
TABLE 82. EUROPE, MIDDLE EAST & AFRICA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY ANALYTICS TYPE, 2018-2032 (USD MILLION)
TABLE 83. EUROPE, MIDDLE EAST & AFRICA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY APPLICATIONS, 2018-2032 (USD MILLION)
TABLE 84. EUROPE, MIDDLE EAST & AFRICA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY END USERS, 2018-2032 (USD MILLION)
TABLE 85. EUROPE, MIDDLE EAST & AFRICA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY DEPLOYMENT MODE, 2018-2032 (USD MILLION)
TABLE 86. EUROPE HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
TABLE 87. EUROPE HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY COMPONENTS, 2018-2032 (USD MILLION)
TABLE 88. EUROPE HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY ANALYTICS TYPE, 2018-2032 (USD MILLION)
TABLE 89. EUROPE HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY APPLICATIONS, 2018-2032 (USD MILLION)
TABLE 90. EUROPE HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY END USERS, 2018-2032 (USD MILLION)
TABLE 91. EUROPE HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY DEPLOYMENT MODE, 2018-2032 (USD MILLION)
TABLE 92. MIDDLE EAST HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
TABLE 93. MIDDLE EAST HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY COMPONENTS, 2018-2032 (USD MILLION)
TABLE 94. MIDDLE EAST HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY ANALYTICS TYPE, 2018-2032 (USD MILLION)
TABLE 95. MIDDLE EAST HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY APPLICATIONS, 2018-2032 (USD MILLION)
TABLE 96. MIDDLE EAST HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY END USERS, 2018-2032 (USD MILLION)
TABLE 97. MIDDLE EAST HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY DEPLOYMENT MODE, 2018-2032 (USD MILLION)
TABLE 98. AFRICA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
TABLE 99. AFRICA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY COMPONENTS, 2018-2032 (USD MILLION)
TABLE 100. AFRICA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY ANALYTICS TYPE, 2018-2032 (USD MILLION)
TABLE 101. AFRICA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY APPLICATIONS, 2018-2032 (USD MILLION)
TABLE 102. AFRICA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY END USERS, 2018-2032 (USD MILLION)
TABLE 103. AFRICA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY DEPLOYMENT MODE, 2018-2032 (USD MILLION)
TABLE 104. ASIA-PACIFIC HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
TABLE 105. ASIA-PACIFIC HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY COMPONENTS, 2018-2032 (USD MILLION)
TABLE 106. ASIA-PACIFIC HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY ANALYTICS TYPE, 2018-2032 (USD MILLION)
TABLE 107. ASIA-PACIFIC HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY APPLICATIONS, 2018-2032 (USD MILLION)
TABLE 108. ASIA-PACIFIC HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY END USERS, 2018-2032 (USD MILLION)
TABLE 109. ASIA-PACIFIC HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY DEPLOYMENT MODE, 2018-2032 (USD MILLION)
TABLE 110. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY GROUP, 2018-2032 (USD MILLION)
TABLE 111. ASEAN HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
TABLE 112. ASEAN HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY COMPONENTS, 2018-2032 (USD MILLION)
TABLE 113. ASEAN HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY ANALYTICS TYPE, 2018-2032 (USD MILLION)
TABLE 114. ASEAN HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY APPLICATIONS, 2018-2032 (USD MILLION)
TABLE 115. ASEAN HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY END USERS, 2018-2032 (USD MILLION)
TABLE 116. ASEAN HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY DEPLOYMENT MODE, 2018-2032 (USD MILLION)
TABLE 117. GCC HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
TABLE 118. GCC HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY COMPONENTS, 2018-2032 (USD MILLION)
TABLE 119. GCC HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY ANALYTICS TYPE, 2018-2032 (USD MILLION)
TABLE 120. GCC HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY APPLICATIONS, 2018-2032 (USD MILLION)
TABLE 121. GCC HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY END USERS, 2018-2032 (USD MILLION)
TABLE 122. GCC HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY DEPLOYMENT MODE, 2018-2032 (USD MILLION)
TABLE 123. EUROPEAN UNION HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
TABLE 124. EUROPEAN UNION HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY COMPONENTS, 2018-2032 (USD MILLION)
TABLE 125. EUROPEAN UNION HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY ANALYTICS TYPE, 2018-2032 (USD MILLION)
TABLE 126. EUROPEAN UNION HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY APPLICATIONS, 2018-2032 (USD MILLION)
TABLE 127. EUROPEAN UNION HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY END USERS, 2018-2032 (USD MILLION)
TABLE 128. EUROPEAN UNION HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY DEPLOYMENT MODE, 2018-2032 (USD MILLION)
TABLE 129. BRICS HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
TABLE 130. BRICS HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY COMPONENTS, 2018-2032 (USD MILLION)
TABLE 131. BRICS HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY ANALYTICS TYPE, 2018-2032 (USD MILLION)
TABLE 132. BRICS HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY APPLICATIONS, 2018-2032 (USD MILLION)
TABLE 133. BRICS HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY END USERS, 2018-2032 (USD MILLION)
TABLE 134. BRICS HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY DEPLOYMENT MODE, 2018-2032 (USD MILLION)
TABLE 135. G7 HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
TABLE 136. G7 HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY COMPONENTS, 2018-2032 (USD MILLION)
TABLE 137. G7 HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY ANALYTICS TYPE, 2018-2032 (USD MILLION)
TABLE 138. G7 HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY APPLICATIONS, 2018-2032 (USD MILLION)
TABLE 139. G7 HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY END USERS, 2018-2032 (USD MILLION)
TABLE 140. G7 HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY DEPLOYMENT MODE, 2018-2032 (USD MILLION)
TABLE 141. NATO HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
TABLE 142. NATO HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY COMPONENTS, 2018-2032 (USD MILLION)
TABLE 143. NATO HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY ANALYTICS TYPE, 2018-2032 (USD MILLION)
TABLE 144. NATO HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY APPLICATIONS, 2018-2032 (USD MILLION)
TABLE 145. NATO HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY END USERS, 2018-2032 (USD MILLION)
TABLE 146. NATO HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY DEPLOYMENT MODE, 2018-2032 (USD MILLION)
TABLE 147. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
TABLE 148. UNITED STATES HEALTHCARE FRAUD ANALYTICS MARKET SIZE, 2018-2032 (USD MILLION)
TABLE 149. UNITED STATES HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY COMPONENTS, 2018-2032 (USD MILLION)
TABLE 150. UNITED STATES HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY ANALYTICS TYPE, 2018-2032 (USD MILLION)
TABLE 151. UNITED STATES HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY APPLICATIONS, 2018-2032 (USD MILLION)
TABLE 152. UNITED STATES HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY END USERS, 2018-2032 (USD MILLION)
TABLE 153. UNITED STATES HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY DEPLOYMENT MODE, 2018-2032 (USD MILLION)
TABLE 154. CHINA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, 2018-2032 (USD MILLION)
TABLE 155. CHINA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY COMPONENTS, 2018-2032 (USD MILLION)
TABLE 156. CHINA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY ANALYTICS TYPE, 2018-2032 (USD MILLION)
TABLE 157. CHINA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY APPLICATIONS, 2018-2032 (USD MILLION)
TABLE 158. CHINA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY END USERS, 2018-2032 (USD MILLION)
TABLE 159. CHINA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY DEPLOYMENT MODE, 2018-2032 (USD MILLION)

Companies Mentioned

The key companies profiled in this Healthcare Fraud Analytics market report include:
  • Change Healthcare LLC
  • Cotiviti, LLC
  • DXC Technology Company
  • Experian Information Solutions, Inc.
  • Fair Isaac Corporation
  • International Business Machines Corporation
  • LexisNexis Risk Solutions Inc.
  • Microsoft Corporation
  • NICE Ltd.
  • NoFraud
  • Optum, Inc.
  • Oracle Corporation
  • Riskified Ltd.
  • Sagitec Solutions
  • SAP SE
  • SAS Institute Inc.

Table Information

Report AttributeDetails
No. of Pages180
PublishedJanuary 2026
Forecast Period2026 - 2032
Estimated Market Value ( USD ) in 2026 $ 11.87 Billion
Forecasted Market Value ( USD ) by 2032 $ 37.16 Billion
Compound Annual Growth Rate20.8%
Regions CoveredGlobal
No. of Companies Mentioned17

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About the Market

Healthcare Fraud Analytics is a subset of Data Analytics that focuses on the detection and prevention of fraudulent activities in the healthcare industry. It uses data mining, machine learning, and predictive analytics to identify patterns of fraud and abuse. Healthcare Fraud Analytics can be used to detect billing fraud, insurance fraud, and other types of fraud. It can also be used to identify suspicious activities, such as billing for services that were not provided or billing for services at a higher rate than what is allowed. Healthcare Fraud Analytics can help healthcare organizations reduce costs, improve patient safety, and increase compliance with regulations. It can also help healthcare organizations identify and address potential fraud and abuse before it occurs. Some companies in the Healthcare Fraud Analytics market include LexisNexis Risk Solutions, SAS, IBM, Optum, and Health Fidelity. Show Less Read more

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