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Healthcare Fraud Analytics Market - Global Forecast 2025-2032

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    Report

  • 181 Pages
  • November 2025
  • Region: Global
  • 360iResearch™
  • ID: 5532716
UP TO OFF until Jan 01st 2026
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Healthcare fraud analytics is essential for organizations intent on safeguarding operational integrity while navigating increased regulatory complexity in digital health. As compliance challenges intensify and technology advances, fraud analytics provides decision-makers with actionable intelligence and a resilient foundation for proactive risk management.

Market Snapshot: Healthcare Fraud Analytics Market Growth

The healthcare fraud analytics market reached a value of USD 8.18 billion in 2024, with expectations to rise to USD 9.85 billion by 2025 and a notable CAGR of 20.41%, positioning the sector to achieve USD 36.16 billion by 2032.

Expansion is driven by growing investments in cloud-based analytics and AI-powered fraud detection platforms. Organizations are utilizing advanced analytics to reinforce fraud prevention measures, comply with evolving standards, and update their technology infrastructure. Emphasis on digital health transformation is reshaping how healthcare enterprises address compliance and risk across global ecosystems.

Scope & Segmentation: Healthcare Fraud Analytics Market Coverage

  • Component Types: Consulting services, managed services, implementation support, and integrated software combine to provide a robust analytics infrastructure, enabling real-time insights and advanced data analysis.
  • Deployment Modes: Cloud, hybrid, and on-premise models offer organizations the flexibility to address diverse security, scalability, and data governance priorities, facilitating the adoption of the most suitable deployment strategies.
  • End Users: Government agencies, insurers, pharmaceutical firms, healthcare delivery organizations, and third-party administrators leverage fraud analytics for focused risk assessment, enhanced compliance, and improved transparency.
  • Analytics Types: Solutions support compliance oversight, fraud detection, investigative processes, recovery management, and risk evaluation across both clinical and payment domains.
  • Application Areas: Includes claims assessment, billing audit, provider and network analysis, and patient activity monitoring, each reinforcing accountability and supporting effective fraud prevention.
  • Geographic Regions: The Americas, Europe, Asia-Pacific, and Middle East & Africa are characterized by unique adoption trends, shaped by regulatory expectations, local compliance practices, and a varying pace of analytics innovation.
  • Leading Providers: Companies such as Fair Isaac Corporation, SAS Institute Inc., Optum, Cotiviti, IBM, LexisNexis Risk Solutions, Experian Information Solutions, SAP SE, Change Healthcare, and DXC Technology provide industry-focused analytics, consultancy, and compliance solutions.

Key Takeaways for Senior Decision-Makers

  • AI-driven fraud analytics platforms enable organizations to anticipate and respond to evolving threat patterns, facilitating timely and accurate compliance decisions across healthcare operations.
  • Automation introduces efficiency in claims management and health record integration, reducing manual processing errors and supporting consistent compliance monitoring.
  • Flexibility in deployment—through cloud or hybrid solutions—allows adaptation to new technology standards and distinct regulatory frameworks in various markets.
  • Collaboration among payers, providers, technology vendors, and regulatory authorities is critical for building system-wide trust and operational resilience.
  • Modular analytics architectures allow organizations to expand capabilities incrementally, aligning technology growth with emerging strategic goals and compliance mandates.
  • Built-in governance features support consistent processes and adherence to regional and global legal requirements, aiding multinational operations in maintaining oversight control.

Assessing Tariff Impact: Navigating Cost and Supply Chain Shifts

Adoption of new healthcare fraud analytics platforms may be influenced by uncertainty in digital equipment trade tariffs and variable procurement costs. Organizations can mitigate these potential impacts through cloud-native and subscription-based models, reducing up-front investments while ensuring scalability and reliable infrastructure. Leveraging modular technology, cultivating partnerships with established analytics vendors, and engaging in cross-industry alliances all contribute to effective risk management. Strategic sourcing and agile procurement further support operational stability during periods of supply chain volatility.

Methodology & Data Sources

The insights in this report are informed by extensive secondary research, expert interviews with healthcare analytics specialists, and in-depth analysis of real-world use cases. An advisory board reviews and validates each finding, ensuring alignment with digital transformation objectives and compliance standards in healthcare.

Why This Report Matters

  • Helps senior leaders optimize risk management and technology investment planning as operational and compliance priorities evolve within the healthcare fraud analytics sector.
  • Enables evidence-driven procurement, allowing organizations to match analytics capabilities with domestic and international regulatory requirements efficiently.
  • Offers vendor selection guidance, promoting adaptability to new and emerging threats in diverse healthcare environments.

Conclusion

This analysis provides executives with key intelligence to strengthen fraud prevention, modernize oversight, and improve resilience as digital health and compliance demands advance.

 

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 Segmentation & Coverage
1.3. Years Considered for the Study
1.4. Currency & Pricing
1.5. Language
1.6. Stakeholders
2. Research Methodology
3. Executive Summary
4. Market Overview
5. Market Insights
5.1. Adoption of machine learning algorithms for predictive fraud detection in healthcare claims
5.2. Integration of blockchain technology to enhance security and transparency in fraud analytics processes
5.3. Real time monitoring of telehealth services to identify anomalous billing patterns and claim inconsistencies
5.4. Utilization of natural language processing to detect suspicious provider narratives in clinical documentation systems
5.5. Implementation of advanced network analytics to uncover collusion rings among healthcare providers and suppliers
5.6. Deployment of cloud based fraud analytics platforms to improve scalability and cross system data integration
5.7. Advancement of real time member identity verification measures to reduce synthetic identity fraud incidents
5.8. Integration of external social determinant data to enhance risk scoring for potential fraudulent healthcare claims
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 Deployment Mode
9.1. Cloud
9.2. Hybrid
9.3. On Premise
10. Healthcare Fraud Analytics Market, by End Users
10.1. Government Agencies
10.2. Payers
10.3. Pharmaceutical Companies
10.4. Providers
10.5. Third Party Administrators
11. Healthcare Fraud Analytics Market, by Analytics Type
11.1. Compliance
11.2. Detection
11.3. Investigation
11.4. Prevention
11.5. Recovery
11.6. Risk Assessment
12. Healthcare Fraud Analytics Market, by Applications
12.1. Billing And Coding Analytics
12.2. Claim Analytics
12.3. Network Analytics
12.4. Patient Analytics
12.5. Provider Analytics
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. Competitive Landscape
16.1. Market Share Analysis, 2024
16.2. FPNV Positioning Matrix, 2024
16.3. Competitive Analysis
16.3.1. Fair Isaac Corporation
16.3.2. SAS Institute Inc.
16.3.3. Optum, Inc.
16.3.4. Cotiviti, LLC
16.3.5. International Business Machines Corporation
16.3.6. LexisNexis Risk Solutions Inc.
16.3.7. Experian Information Solutions, Inc.
16.3.8. SAP SE
16.3.9. Change Healthcare LLC
16.3.10. DXC Technology Company

Companies Mentioned

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

Table Information