Global Healthcare Fraud Analytics Market

Healthcare Fraud Analytics Comprehensive Study by Type (Predictive Analytics, Prescriptive Analytics, Descriptive Analytics), Application (Insurance Claims Review, Pharmacy Billing Misuse, Payment Integrity, Identity & Case Management, Others), End Use (Private Insurance Payers, Government Agencies, Others), Component (Software, Services) Players and Region - Global Market Outlook to 2030

Healthcare Fraud Analytics Market by XX Submarkets | Forecast Years 2024-2030 | CAGR: 20.3%  

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  • Summary
  • Market Segments
  • Table of Content
  • List of Table & Figures
  • Players Profiled
About Healthcare Fraud Analytics
Healthcare Fraud Analytics are services which basically help investigate or find any financial fraud in Healthcare payment or insurance claims, etc. The services include account auditing, healthcare report analysis, and others. The healthcare fraud analytics comprises of both software and services. Major analytics tools used include predictive, prescriptive and descriptive with predictive analytics becoming the most popular choice in industry. The increase in Healthcare insurance penetration, rising number of claims and patients has fuelled the growth of the healthcare fraud analytics. The recent Pandemic has especially sharply increased the demand of the healthcare fraud analytics services. Geographically, North America is the biggest market of Healthcare fraud analytics.

AttributesDetails
Study Period2018-2030
Base Year2023
UnitValue (USD Million)
CAGR20.3%


Analyst at AMA Research estimates that United States Players will contribute the maximum growth to Global Healthcare Fraud Analytics market throughout the forecasted period. Established and emerging Players should take a closer view at their existing organizations and reinvent traditional business and operating models to adapt to the future.

SAS Institute Inc. (United States), CGI Inc. (Canada), IBM Corporation (United States), Cotiviti, Inc. (United States), SCIOInspire, Corp. (United States), Optum, Inc. (United States), DXC Technology (United States), McKesson Corporation (United States), HCL Technologies Limited (India) and Wipro Limited (India) are some of the key players that are part of study coverage. Additionally, the Players which are also part of the research coverage are Pondera Solutions, LLC (United States), Relx Group PLC (United Kingdom) and ClarisHealth (United States).

Segmentation Overview
AMA Research has segmented the market of Global Healthcare Fraud Analytics market by Type (Predictive Analytics, Prescriptive Analytics and Descriptive Analytics), Application (Insurance Claims Review, Pharmacy Billing Misuse, Payment Integrity, Identity & Case Management and Others) and Region.



On the basis of geography, the market of Healthcare Fraud Analytics has been segmented into South America (Brazil, Argentina, Rest of South America), Asia Pacific (China, Japan, India, South Korea, Taiwan, Australia, Rest of Asia-Pacific), Europe (Germany, France, Italy, United Kingdom, Netherlands, Rest of Europe), MEA (Middle East, Africa), North America (United States, Canada, Mexico). If we see Market by End Use, the sub-segment i.e. Private Insurance Payers will boost the Healthcare Fraud Analytics market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth. If we see Market by Component, the sub-segment i.e. Software will boost the Healthcare Fraud Analytics market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth.

Influencing Trend:
Predictive Analytics is rising in Popularity

Market Growth Drivers:
Expansion of Health and Medical Insurance Market and Rising Health related Expenditure

Challenges:
High Initial Cost for Setting Infrastructure

Restraints:
Lack of Data in Rural Areas

Opportunities:
Integration of Artificial Intelligence for Better Performance

Market Leaders and their expansionary development strategies
In 2020, Centene Corporation, a provider of managed healthcare solutions has announced acquisition of an analytics company called Apixio, Inc. This is to bolster Centene’s predictive analytics capabilities, unstructured data analysis and help in developing algorithms which provide appropriate insights and solutions. It will also help Centene to improve its value based healthcare payment mechanism.
In 2020, ClarisHealth, a firm providing integrated payment solutions for healthcare has announced launch of Pareo Fraud Detection, which is an artificial intelligence enabled healthcare fraud detection system. The solution investigated and provides solution in real time on which provider is suspicious or needs to be investigated.


Key Target Audience
Healthcare Fraud Analytics Providers, New Entrants/Investors, Venture Capitalists and Private Equity Firms, Analysts and Strategic Business Planners and End-Use Industries

About Approach
To evaluate and validate the market size various sources including primary and secondary analysis is utilized. AMA Research follows regulatory standards such as NAICS/SIC/ICB/TRCB, to have a better understanding of the market. The market study is conducted on basis of more than 200 companies dealing in the market regional as well as global areas with the purpose to understand the companies positioning regarding the market value, volume, and their market share for regional as well as global.

Further to bring relevance specific to any niche market we set and apply a number of criteria like Geographic Footprints, Regional Segments of Revenue, Operational Centres, etc. The next step is to finalize a team (In-House + Data Agencies) who then starts collecting C & D level executives and profiles, Industry experts, Opinion leaders, etc., and work towards appointment generation.

The primary research is performed by taking the interviews of executives of various companies dealing in the market as well as using the survey reports, research institute, and latest research reports. Meanwhile, the analyst team keeps preparing a set of questionnaires, and after getting the appointee list; the target audience is then tapped and segregated with various mediums and channels that are feasible for making connections that including email communication, telephonic, skype, LinkedIn Group & InMail, Community Forums, Community Forums, open Survey, SurveyMonkey, etc.

Report Objectives / Segmentation Covered

By Type
  • Predictive Analytics
  • Prescriptive Analytics
  • Descriptive Analytics
By Application
  • Insurance Claims Review
  • Pharmacy Billing Misuse
  • Payment Integrity
  • Identity & Case Management
  • Others
By End Use
  • Private Insurance Payers
  • Government Agencies
  • Others

By Component
  • Software
  • Services

By Regions
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Taiwan
    • Australia
    • Rest of Asia-Pacific
  • Europe
    • Germany
    • France
    • Italy
    • United Kingdom
    • Netherlands
    • Rest of Europe
  • MEA
    • Middle East
    • Africa
  • North America
    • United States
    • Canada
    • Mexico
  • 1. Market Overview
    • 1.1. Introduction
    • 1.2. Scope/Objective of the Study
      • 1.2.1. Research Objective
  • 2. Executive Summary
    • 2.1. Introduction
  • 3. Market Dynamics
    • 3.1. Introduction
    • 3.2. Market Drivers
      • 3.2.1. Expansion of Health and Medical Insurance Market
      • 3.2.2. Rising Health related Expenditure
    • 3.3. Market Challenges
      • 3.3.1. High Initial Cost for Setting Infrastructure
    • 3.4. Market Trends
      • 3.4.1. Predictive Analytics is rising in Popularity
  • 4. Market Factor Analysis
    • 4.1. Porters Five Forces
    • 4.2. Supply/Value Chain
    • 4.3. PESTEL analysis
    • 4.4. Market Entropy
    • 4.5. Patent/Trademark Analysis
  • 5. Global Healthcare Fraud Analytics, by Type, Application, End Use, Component and Region (value) (2018-2023)
    • 5.1. Introduction
    • 5.2. Global Healthcare Fraud Analytics (Value)
      • 5.2.1. Global Healthcare Fraud Analytics by: Type (Value)
        • 5.2.1.1. Predictive Analytics
        • 5.2.1.2. Prescriptive Analytics
        • 5.2.1.3. Descriptive Analytics
      • 5.2.2. Global Healthcare Fraud Analytics by: Application (Value)
        • 5.2.2.1. Insurance Claims Review
        • 5.2.2.2. Pharmacy Billing Misuse
        • 5.2.2.3. Payment Integrity
        • 5.2.2.4. Identity & Case Management
        • 5.2.2.5. Others
      • 5.2.3. Global Healthcare Fraud Analytics by: End Use (Value)
        • 5.2.3.1. Private Insurance Payers
        • 5.2.3.2. Government Agencies
        • 5.2.3.3. Others
      • 5.2.4. Global Healthcare Fraud Analytics by: Component (Value)
        • 5.2.4.1. Software
        • 5.2.4.2. Services
      • 5.2.5. Global Healthcare Fraud Analytics Region
        • 5.2.5.1. South America
          • 5.2.5.1.1. Brazil
          • 5.2.5.1.2. Argentina
          • 5.2.5.1.3. Rest of South America
        • 5.2.5.2. Asia Pacific
          • 5.2.5.2.1. China
          • 5.2.5.2.2. Japan
          • 5.2.5.2.3. India
          • 5.2.5.2.4. South Korea
          • 5.2.5.2.5. Taiwan
          • 5.2.5.2.6. Australia
          • 5.2.5.2.7. Rest of Asia-Pacific
        • 5.2.5.3. Europe
          • 5.2.5.3.1. Germany
          • 5.2.5.3.2. France
          • 5.2.5.3.3. Italy
          • 5.2.5.3.4. United Kingdom
          • 5.2.5.3.5. Netherlands
          • 5.2.5.3.6. Rest of Europe
        • 5.2.5.4. MEA
          • 5.2.5.4.1. Middle East
          • 5.2.5.4.2. Africa
        • 5.2.5.5. North America
          • 5.2.5.5.1. United States
          • 5.2.5.5.2. Canada
          • 5.2.5.5.3. Mexico
  • 6. Healthcare Fraud Analytics: Manufacturers/Players Analysis
    • 6.1. Competitive Landscape
      • 6.1.1. Market Share Analysis
        • 6.1.1.1. Top 3
        • 6.1.1.2. Top 5
    • 6.2. Peer Group Analysis (2023)
    • 6.3. BCG Matrix
    • 6.4. Company Profile
      • 6.4.1. SAS Institute Inc. (United States)
        • 6.4.1.1. Business Overview
        • 6.4.1.2. Products/Services Offerings
        • 6.4.1.3. Financial Analysis
        • 6.4.1.4. SWOT Analysis
      • 6.4.2. CGI Inc. (Canada)
        • 6.4.2.1. Business Overview
        • 6.4.2.2. Products/Services Offerings
        • 6.4.2.3. Financial Analysis
        • 6.4.2.4. SWOT Analysis
      • 6.4.3. IBM Corporation (United States)
        • 6.4.3.1. Business Overview
        • 6.4.3.2. Products/Services Offerings
        • 6.4.3.3. Financial Analysis
        • 6.4.3.4. SWOT Analysis
      • 6.4.4. Cotiviti, Inc. (United States)
        • 6.4.4.1. Business Overview
        • 6.4.4.2. Products/Services Offerings
        • 6.4.4.3. Financial Analysis
        • 6.4.4.4. SWOT Analysis
      • 6.4.5. SCIOInspire, Corp. (United States)
        • 6.4.5.1. Business Overview
        • 6.4.5.2. Products/Services Offerings
        • 6.4.5.3. Financial Analysis
        • 6.4.5.4. SWOT Analysis
      • 6.4.6. Optum, Inc. (United States)
        • 6.4.6.1. Business Overview
        • 6.4.6.2. Products/Services Offerings
        • 6.4.6.3. Financial Analysis
        • 6.4.6.4. SWOT Analysis
      • 6.4.7. DXC Technology (United States)
        • 6.4.7.1. Business Overview
        • 6.4.7.2. Products/Services Offerings
        • 6.4.7.3. Financial Analysis
        • 6.4.7.4. SWOT Analysis
      • 6.4.8. McKesson Corporation (United States)
        • 6.4.8.1. Business Overview
        • 6.4.8.2. Products/Services Offerings
        • 6.4.8.3. Financial Analysis
        • 6.4.8.4. SWOT Analysis
      • 6.4.9. HCL Technologies Limited (India)
        • 6.4.9.1. Business Overview
        • 6.4.9.2. Products/Services Offerings
        • 6.4.9.3. Financial Analysis
        • 6.4.9.4. SWOT Analysis
      • 6.4.10. Wipro Limited (India)
        • 6.4.10.1. Business Overview
        • 6.4.10.2. Products/Services Offerings
        • 6.4.10.3. Financial Analysis
        • 6.4.10.4. SWOT Analysis
  • 7. Global Healthcare Fraud Analytics Sale, by Type, Application, End Use, Component and Region (value) (2025-2030)
    • 7.1. Introduction
    • 7.2. Global Healthcare Fraud Analytics (Value)
      • 7.2.1. Global Healthcare Fraud Analytics by: Type (Value)
        • 7.2.1.1. Predictive Analytics
        • 7.2.1.2. Prescriptive Analytics
        • 7.2.1.3. Descriptive Analytics
      • 7.2.2. Global Healthcare Fraud Analytics by: Application (Value)
        • 7.2.2.1. Insurance Claims Review
        • 7.2.2.2. Pharmacy Billing Misuse
        • 7.2.2.3. Payment Integrity
        • 7.2.2.4. Identity & Case Management
        • 7.2.2.5. Others
      • 7.2.3. Global Healthcare Fraud Analytics by: End Use (Value)
        • 7.2.3.1. Private Insurance Payers
        • 7.2.3.2. Government Agencies
        • 7.2.3.3. Others
      • 7.2.4. Global Healthcare Fraud Analytics by: Component (Value)
        • 7.2.4.1. Software
        • 7.2.4.2. Services
      • 7.2.5. Global Healthcare Fraud Analytics Region
        • 7.2.5.1. South America
          • 7.2.5.1.1. Brazil
          • 7.2.5.1.2. Argentina
          • 7.2.5.1.3. Rest of South America
        • 7.2.5.2. Asia Pacific
          • 7.2.5.2.1. China
          • 7.2.5.2.2. Japan
          • 7.2.5.2.3. India
          • 7.2.5.2.4. South Korea
          • 7.2.5.2.5. Taiwan
          • 7.2.5.2.6. Australia
          • 7.2.5.2.7. Rest of Asia-Pacific
        • 7.2.5.3. Europe
          • 7.2.5.3.1. Germany
          • 7.2.5.3.2. France
          • 7.2.5.3.3. Italy
          • 7.2.5.3.4. United Kingdom
          • 7.2.5.3.5. Netherlands
          • 7.2.5.3.6. Rest of Europe
        • 7.2.5.4. MEA
          • 7.2.5.4.1. Middle East
          • 7.2.5.4.2. Africa
        • 7.2.5.5. North America
          • 7.2.5.5.1. United States
          • 7.2.5.5.2. Canada
          • 7.2.5.5.3. Mexico
  • 8. Appendix
    • 8.1. Acronyms
  • 9. Methodology and Data Source
    • 9.1. Methodology/Research Approach
      • 9.1.1. Research Programs/Design
      • 9.1.2. Market Size Estimation
      • 9.1.3. Market Breakdown and Data Triangulation
    • 9.2. Data Source
      • 9.2.1. Secondary Sources
      • 9.2.2. Primary Sources
    • 9.3. Disclaimer
List of Tables
  • Table 1. Healthcare Fraud Analytics: by Type(USD Million)
  • Table 2. Healthcare Fraud Analytics Predictive Analytics , by Region USD Million (2018-2023)
  • Table 3. Healthcare Fraud Analytics Prescriptive Analytics , by Region USD Million (2018-2023)
  • Table 4. Healthcare Fraud Analytics Descriptive Analytics , by Region USD Million (2018-2023)
  • Table 5. Healthcare Fraud Analytics: by Application(USD Million)
  • Table 6. Healthcare Fraud Analytics Insurance Claims Review , by Region USD Million (2018-2023)
  • Table 7. Healthcare Fraud Analytics Pharmacy Billing Misuse , by Region USD Million (2018-2023)
  • Table 8. Healthcare Fraud Analytics Payment Integrity , by Region USD Million (2018-2023)
  • Table 9. Healthcare Fraud Analytics Identity & Case Management , by Region USD Million (2018-2023)
  • Table 10. Healthcare Fraud Analytics Others , by Region USD Million (2018-2023)
  • Table 11. Healthcare Fraud Analytics: by End Use(USD Million)
  • Table 12. Healthcare Fraud Analytics Private Insurance Payers , by Region USD Million (2018-2023)
  • Table 13. Healthcare Fraud Analytics Government Agencies , by Region USD Million (2018-2023)
  • Table 14. Healthcare Fraud Analytics Others , by Region USD Million (2018-2023)
  • Table 15. Healthcare Fraud Analytics: by Component(USD Million)
  • Table 16. Healthcare Fraud Analytics Software , by Region USD Million (2018-2023)
  • Table 17. Healthcare Fraud Analytics Services , by Region USD Million (2018-2023)
  • Table 18. South America Healthcare Fraud Analytics, by Country USD Million (2018-2023)
  • Table 19. South America Healthcare Fraud Analytics, by Type USD Million (2018-2023)
  • Table 20. South America Healthcare Fraud Analytics, by Application USD Million (2018-2023)
  • Table 21. South America Healthcare Fraud Analytics, by End Use USD Million (2018-2023)
  • Table 22. South America Healthcare Fraud Analytics, by Component USD Million (2018-2023)
  • Table 23. Brazil Healthcare Fraud Analytics, by Type USD Million (2018-2023)
  • Table 24. Brazil Healthcare Fraud Analytics, by Application USD Million (2018-2023)
  • Table 25. Brazil Healthcare Fraud Analytics, by End Use USD Million (2018-2023)
  • Table 26. Brazil Healthcare Fraud Analytics, by Component USD Million (2018-2023)
  • Table 27. Argentina Healthcare Fraud Analytics, by Type USD Million (2018-2023)
  • Table 28. Argentina Healthcare Fraud Analytics, by Application USD Million (2018-2023)
  • Table 29. Argentina Healthcare Fraud Analytics, by End Use USD Million (2018-2023)
  • Table 30. Argentina Healthcare Fraud Analytics, by Component USD Million (2018-2023)
  • Table 31. Rest of South America Healthcare Fraud Analytics, by Type USD Million (2018-2023)
  • Table 32. Rest of South America Healthcare Fraud Analytics, by Application USD Million (2018-2023)
  • Table 33. Rest of South America Healthcare Fraud Analytics, by End Use USD Million (2018-2023)
  • Table 34. Rest of South America Healthcare Fraud Analytics, by Component USD Million (2018-2023)
  • Table 35. Asia Pacific Healthcare Fraud Analytics, by Country USD Million (2018-2023)
  • Table 36. Asia Pacific Healthcare Fraud Analytics, by Type USD Million (2018-2023)
  • Table 37. Asia Pacific Healthcare Fraud Analytics, by Application USD Million (2018-2023)
  • Table 38. Asia Pacific Healthcare Fraud Analytics, by End Use USD Million (2018-2023)
  • Table 39. Asia Pacific Healthcare Fraud Analytics, by Component USD Million (2018-2023)
  • Table 40. China Healthcare Fraud Analytics, by Type USD Million (2018-2023)
  • Table 41. China Healthcare Fraud Analytics, by Application USD Million (2018-2023)
  • Table 42. China Healthcare Fraud Analytics, by End Use USD Million (2018-2023)
  • Table 43. China Healthcare Fraud Analytics, by Component USD Million (2018-2023)
  • Table 44. Japan Healthcare Fraud Analytics, by Type USD Million (2018-2023)
  • Table 45. Japan Healthcare Fraud Analytics, by Application USD Million (2018-2023)
  • Table 46. Japan Healthcare Fraud Analytics, by End Use USD Million (2018-2023)
  • Table 47. Japan Healthcare Fraud Analytics, by Component USD Million (2018-2023)
  • Table 48. India Healthcare Fraud Analytics, by Type USD Million (2018-2023)
  • Table 49. India Healthcare Fraud Analytics, by Application USD Million (2018-2023)
  • Table 50. India Healthcare Fraud Analytics, by End Use USD Million (2018-2023)
  • Table 51. India Healthcare Fraud Analytics, by Component USD Million (2018-2023)
  • Table 52. South Korea Healthcare Fraud Analytics, by Type USD Million (2018-2023)
  • Table 53. South Korea Healthcare Fraud Analytics, by Application USD Million (2018-2023)
  • Table 54. South Korea Healthcare Fraud Analytics, by End Use USD Million (2018-2023)
  • Table 55. South Korea Healthcare Fraud Analytics, by Component USD Million (2018-2023)
  • Table 56. Taiwan Healthcare Fraud Analytics, by Type USD Million (2018-2023)
  • Table 57. Taiwan Healthcare Fraud Analytics, by Application USD Million (2018-2023)
  • Table 58. Taiwan Healthcare Fraud Analytics, by End Use USD Million (2018-2023)
  • Table 59. Taiwan Healthcare Fraud Analytics, by Component USD Million (2018-2023)
  • Table 60. Australia Healthcare Fraud Analytics, by Type USD Million (2018-2023)
  • Table 61. Australia Healthcare Fraud Analytics, by Application USD Million (2018-2023)
  • Table 62. Australia Healthcare Fraud Analytics, by End Use USD Million (2018-2023)
  • Table 63. Australia Healthcare Fraud Analytics, by Component USD Million (2018-2023)
  • Table 64. Rest of Asia-Pacific Healthcare Fraud Analytics, by Type USD Million (2018-2023)
  • Table 65. Rest of Asia-Pacific Healthcare Fraud Analytics, by Application USD Million (2018-2023)
  • Table 66. Rest of Asia-Pacific Healthcare Fraud Analytics, by End Use USD Million (2018-2023)
  • Table 67. Rest of Asia-Pacific Healthcare Fraud Analytics, by Component USD Million (2018-2023)
  • Table 68. Europe Healthcare Fraud Analytics, by Country USD Million (2018-2023)
  • Table 69. Europe Healthcare Fraud Analytics, by Type USD Million (2018-2023)
  • Table 70. Europe Healthcare Fraud Analytics, by Application USD Million (2018-2023)
  • Table 71. Europe Healthcare Fraud Analytics, by End Use USD Million (2018-2023)
  • Table 72. Europe Healthcare Fraud Analytics, by Component USD Million (2018-2023)
  • Table 73. Germany Healthcare Fraud Analytics, by Type USD Million (2018-2023)
  • Table 74. Germany Healthcare Fraud Analytics, by Application USD Million (2018-2023)
  • Table 75. Germany Healthcare Fraud Analytics, by End Use USD Million (2018-2023)
  • Table 76. Germany Healthcare Fraud Analytics, by Component USD Million (2018-2023)
  • Table 77. France Healthcare Fraud Analytics, by Type USD Million (2018-2023)
  • Table 78. France Healthcare Fraud Analytics, by Application USD Million (2018-2023)
  • Table 79. France Healthcare Fraud Analytics, by End Use USD Million (2018-2023)
  • Table 80. France Healthcare Fraud Analytics, by Component USD Million (2018-2023)
  • Table 81. Italy Healthcare Fraud Analytics, by Type USD Million (2018-2023)
  • Table 82. Italy Healthcare Fraud Analytics, by Application USD Million (2018-2023)
  • Table 83. Italy Healthcare Fraud Analytics, by End Use USD Million (2018-2023)
  • Table 84. Italy Healthcare Fraud Analytics, by Component USD Million (2018-2023)
  • Table 85. United Kingdom Healthcare Fraud Analytics, by Type USD Million (2018-2023)
  • Table 86. United Kingdom Healthcare Fraud Analytics, by Application USD Million (2018-2023)
  • Table 87. United Kingdom Healthcare Fraud Analytics, by End Use USD Million (2018-2023)
  • Table 88. United Kingdom Healthcare Fraud Analytics, by Component USD Million (2018-2023)
  • Table 89. Netherlands Healthcare Fraud Analytics, by Type USD Million (2018-2023)
  • Table 90. Netherlands Healthcare Fraud Analytics, by Application USD Million (2018-2023)
  • Table 91. Netherlands Healthcare Fraud Analytics, by End Use USD Million (2018-2023)
  • Table 92. Netherlands Healthcare Fraud Analytics, by Component USD Million (2018-2023)
  • Table 93. Rest of Europe Healthcare Fraud Analytics, by Type USD Million (2018-2023)
  • Table 94. Rest of Europe Healthcare Fraud Analytics, by Application USD Million (2018-2023)
  • Table 95. Rest of Europe Healthcare Fraud Analytics, by End Use USD Million (2018-2023)
  • Table 96. Rest of Europe Healthcare Fraud Analytics, by Component USD Million (2018-2023)
  • Table 97. MEA Healthcare Fraud Analytics, by Country USD Million (2018-2023)
  • Table 98. MEA Healthcare Fraud Analytics, by Type USD Million (2018-2023)
  • Table 99. MEA Healthcare Fraud Analytics, by Application USD Million (2018-2023)
  • Table 100. MEA Healthcare Fraud Analytics, by End Use USD Million (2018-2023)
  • Table 101. MEA Healthcare Fraud Analytics, by Component USD Million (2018-2023)
  • Table 102. Middle East Healthcare Fraud Analytics, by Type USD Million (2018-2023)
  • Table 103. Middle East Healthcare Fraud Analytics, by Application USD Million (2018-2023)
  • Table 104. Middle East Healthcare Fraud Analytics, by End Use USD Million (2018-2023)
  • Table 105. Middle East Healthcare Fraud Analytics, by Component USD Million (2018-2023)
  • Table 106. Africa Healthcare Fraud Analytics, by Type USD Million (2018-2023)
  • Table 107. Africa Healthcare Fraud Analytics, by Application USD Million (2018-2023)
  • Table 108. Africa Healthcare Fraud Analytics, by End Use USD Million (2018-2023)
  • Table 109. Africa Healthcare Fraud Analytics, by Component USD Million (2018-2023)
  • Table 110. North America Healthcare Fraud Analytics, by Country USD Million (2018-2023)
  • Table 111. North America Healthcare Fraud Analytics, by Type USD Million (2018-2023)
  • Table 112. North America Healthcare Fraud Analytics, by Application USD Million (2018-2023)
  • Table 113. North America Healthcare Fraud Analytics, by End Use USD Million (2018-2023)
  • Table 114. North America Healthcare Fraud Analytics, by Component USD Million (2018-2023)
  • Table 115. United States Healthcare Fraud Analytics, by Type USD Million (2018-2023)
  • Table 116. United States Healthcare Fraud Analytics, by Application USD Million (2018-2023)
  • Table 117. United States Healthcare Fraud Analytics, by End Use USD Million (2018-2023)
  • Table 118. United States Healthcare Fraud Analytics, by Component USD Million (2018-2023)
  • Table 119. Canada Healthcare Fraud Analytics, by Type USD Million (2018-2023)
  • Table 120. Canada Healthcare Fraud Analytics, by Application USD Million (2018-2023)
  • Table 121. Canada Healthcare Fraud Analytics, by End Use USD Million (2018-2023)
  • Table 122. Canada Healthcare Fraud Analytics, by Component USD Million (2018-2023)
  • Table 123. Mexico Healthcare Fraud Analytics, by Type USD Million (2018-2023)
  • Table 124. Mexico Healthcare Fraud Analytics, by Application USD Million (2018-2023)
  • Table 125. Mexico Healthcare Fraud Analytics, by End Use USD Million (2018-2023)
  • Table 126. Mexico Healthcare Fraud Analytics, by Component USD Million (2018-2023)
  • Table 127. Company Basic Information, Sales Area and Its Competitors
  • Table 128. Company Basic Information, Sales Area and Its Competitors
  • Table 129. Company Basic Information, Sales Area and Its Competitors
  • Table 130. Company Basic Information, Sales Area and Its Competitors
  • Table 131. Company Basic Information, Sales Area and Its Competitors
  • Table 132. Company Basic Information, Sales Area and Its Competitors
  • Table 133. Company Basic Information, Sales Area and Its Competitors
  • Table 134. Company Basic Information, Sales Area and Its Competitors
  • Table 135. Company Basic Information, Sales Area and Its Competitors
  • Table 136. Company Basic Information, Sales Area and Its Competitors
  • Table 137. Healthcare Fraud Analytics: by Type(USD Million)
  • Table 138. Healthcare Fraud Analytics Predictive Analytics , by Region USD Million (2025-2030)
  • Table 139. Healthcare Fraud Analytics Prescriptive Analytics , by Region USD Million (2025-2030)
  • Table 140. Healthcare Fraud Analytics Descriptive Analytics , by Region USD Million (2025-2030)
  • Table 141. Healthcare Fraud Analytics: by Application(USD Million)
  • Table 142. Healthcare Fraud Analytics Insurance Claims Review , by Region USD Million (2025-2030)
  • Table 143. Healthcare Fraud Analytics Pharmacy Billing Misuse , by Region USD Million (2025-2030)
  • Table 144. Healthcare Fraud Analytics Payment Integrity , by Region USD Million (2025-2030)
  • Table 145. Healthcare Fraud Analytics Identity & Case Management , by Region USD Million (2025-2030)
  • Table 146. Healthcare Fraud Analytics Others , by Region USD Million (2025-2030)
  • Table 147. Healthcare Fraud Analytics: by End Use(USD Million)
  • Table 148. Healthcare Fraud Analytics Private Insurance Payers , by Region USD Million (2025-2030)
  • Table 149. Healthcare Fraud Analytics Government Agencies , by Region USD Million (2025-2030)
  • Table 150. Healthcare Fraud Analytics Others , by Region USD Million (2025-2030)
  • Table 151. Healthcare Fraud Analytics: by Component(USD Million)
  • Table 152. Healthcare Fraud Analytics Software , by Region USD Million (2025-2030)
  • Table 153. Healthcare Fraud Analytics Services , by Region USD Million (2025-2030)
  • Table 154. South America Healthcare Fraud Analytics, by Country USD Million (2025-2030)
  • Table 155. South America Healthcare Fraud Analytics, by Type USD Million (2025-2030)
  • Table 156. South America Healthcare Fraud Analytics, by Application USD Million (2025-2030)
  • Table 157. South America Healthcare Fraud Analytics, by End Use USD Million (2025-2030)
  • Table 158. South America Healthcare Fraud Analytics, by Component USD Million (2025-2030)
  • Table 159. Brazil Healthcare Fraud Analytics, by Type USD Million (2025-2030)
  • Table 160. Brazil Healthcare Fraud Analytics, by Application USD Million (2025-2030)
  • Table 161. Brazil Healthcare Fraud Analytics, by End Use USD Million (2025-2030)
  • Table 162. Brazil Healthcare Fraud Analytics, by Component USD Million (2025-2030)
  • Table 163. Argentina Healthcare Fraud Analytics, by Type USD Million (2025-2030)
  • Table 164. Argentina Healthcare Fraud Analytics, by Application USD Million (2025-2030)
  • Table 165. Argentina Healthcare Fraud Analytics, by End Use USD Million (2025-2030)
  • Table 166. Argentina Healthcare Fraud Analytics, by Component USD Million (2025-2030)
  • Table 167. Rest of South America Healthcare Fraud Analytics, by Type USD Million (2025-2030)
  • Table 168. Rest of South America Healthcare Fraud Analytics, by Application USD Million (2025-2030)
  • Table 169. Rest of South America Healthcare Fraud Analytics, by End Use USD Million (2025-2030)
  • Table 170. Rest of South America Healthcare Fraud Analytics, by Component USD Million (2025-2030)
  • Table 171. Asia Pacific Healthcare Fraud Analytics, by Country USD Million (2025-2030)
  • Table 172. Asia Pacific Healthcare Fraud Analytics, by Type USD Million (2025-2030)
  • Table 173. Asia Pacific Healthcare Fraud Analytics, by Application USD Million (2025-2030)
  • Table 174. Asia Pacific Healthcare Fraud Analytics, by End Use USD Million (2025-2030)
  • Table 175. Asia Pacific Healthcare Fraud Analytics, by Component USD Million (2025-2030)
  • Table 176. China Healthcare Fraud Analytics, by Type USD Million (2025-2030)
  • Table 177. China Healthcare Fraud Analytics, by Application USD Million (2025-2030)
  • Table 178. China Healthcare Fraud Analytics, by End Use USD Million (2025-2030)
  • Table 179. China Healthcare Fraud Analytics, by Component USD Million (2025-2030)
  • Table 180. Japan Healthcare Fraud Analytics, by Type USD Million (2025-2030)
  • Table 181. Japan Healthcare Fraud Analytics, by Application USD Million (2025-2030)
  • Table 182. Japan Healthcare Fraud Analytics, by End Use USD Million (2025-2030)
  • Table 183. Japan Healthcare Fraud Analytics, by Component USD Million (2025-2030)
  • Table 184. India Healthcare Fraud Analytics, by Type USD Million (2025-2030)
  • Table 185. India Healthcare Fraud Analytics, by Application USD Million (2025-2030)
  • Table 186. India Healthcare Fraud Analytics, by End Use USD Million (2025-2030)
  • Table 187. India Healthcare Fraud Analytics, by Component USD Million (2025-2030)
  • Table 188. South Korea Healthcare Fraud Analytics, by Type USD Million (2025-2030)
  • Table 189. South Korea Healthcare Fraud Analytics, by Application USD Million (2025-2030)
  • Table 190. South Korea Healthcare Fraud Analytics, by End Use USD Million (2025-2030)
  • Table 191. South Korea Healthcare Fraud Analytics, by Component USD Million (2025-2030)
  • Table 192. Taiwan Healthcare Fraud Analytics, by Type USD Million (2025-2030)
  • Table 193. Taiwan Healthcare Fraud Analytics, by Application USD Million (2025-2030)
  • Table 194. Taiwan Healthcare Fraud Analytics, by End Use USD Million (2025-2030)
  • Table 195. Taiwan Healthcare Fraud Analytics, by Component USD Million (2025-2030)
  • Table 196. Australia Healthcare Fraud Analytics, by Type USD Million (2025-2030)
  • Table 197. Australia Healthcare Fraud Analytics, by Application USD Million (2025-2030)
  • Table 198. Australia Healthcare Fraud Analytics, by End Use USD Million (2025-2030)
  • Table 199. Australia Healthcare Fraud Analytics, by Component USD Million (2025-2030)
  • Table 200. Rest of Asia-Pacific Healthcare Fraud Analytics, by Type USD Million (2025-2030)
  • Table 201. Rest of Asia-Pacific Healthcare Fraud Analytics, by Application USD Million (2025-2030)
  • Table 202. Rest of Asia-Pacific Healthcare Fraud Analytics, by End Use USD Million (2025-2030)
  • Table 203. Rest of Asia-Pacific Healthcare Fraud Analytics, by Component USD Million (2025-2030)
  • Table 204. Europe Healthcare Fraud Analytics, by Country USD Million (2025-2030)
  • Table 205. Europe Healthcare Fraud Analytics, by Type USD Million (2025-2030)
  • Table 206. Europe Healthcare Fraud Analytics, by Application USD Million (2025-2030)
  • Table 207. Europe Healthcare Fraud Analytics, by End Use USD Million (2025-2030)
  • Table 208. Europe Healthcare Fraud Analytics, by Component USD Million (2025-2030)
  • Table 209. Germany Healthcare Fraud Analytics, by Type USD Million (2025-2030)
  • Table 210. Germany Healthcare Fraud Analytics, by Application USD Million (2025-2030)
  • Table 211. Germany Healthcare Fraud Analytics, by End Use USD Million (2025-2030)
  • Table 212. Germany Healthcare Fraud Analytics, by Component USD Million (2025-2030)
  • Table 213. France Healthcare Fraud Analytics, by Type USD Million (2025-2030)
  • Table 214. France Healthcare Fraud Analytics, by Application USD Million (2025-2030)
  • Table 215. France Healthcare Fraud Analytics, by End Use USD Million (2025-2030)
  • Table 216. France Healthcare Fraud Analytics, by Component USD Million (2025-2030)
  • Table 217. Italy Healthcare Fraud Analytics, by Type USD Million (2025-2030)
  • Table 218. Italy Healthcare Fraud Analytics, by Application USD Million (2025-2030)
  • Table 219. Italy Healthcare Fraud Analytics, by End Use USD Million (2025-2030)
  • Table 220. Italy Healthcare Fraud Analytics, by Component USD Million (2025-2030)
  • Table 221. United Kingdom Healthcare Fraud Analytics, by Type USD Million (2025-2030)
  • Table 222. United Kingdom Healthcare Fraud Analytics, by Application USD Million (2025-2030)
  • Table 223. United Kingdom Healthcare Fraud Analytics, by End Use USD Million (2025-2030)
  • Table 224. United Kingdom Healthcare Fraud Analytics, by Component USD Million (2025-2030)
  • Table 225. Netherlands Healthcare Fraud Analytics, by Type USD Million (2025-2030)
  • Table 226. Netherlands Healthcare Fraud Analytics, by Application USD Million (2025-2030)
  • Table 227. Netherlands Healthcare Fraud Analytics, by End Use USD Million (2025-2030)
  • Table 228. Netherlands Healthcare Fraud Analytics, by Component USD Million (2025-2030)
  • Table 229. Rest of Europe Healthcare Fraud Analytics, by Type USD Million (2025-2030)
  • Table 230. Rest of Europe Healthcare Fraud Analytics, by Application USD Million (2025-2030)
  • Table 231. Rest of Europe Healthcare Fraud Analytics, by End Use USD Million (2025-2030)
  • Table 232. Rest of Europe Healthcare Fraud Analytics, by Component USD Million (2025-2030)
  • Table 233. MEA Healthcare Fraud Analytics, by Country USD Million (2025-2030)
  • Table 234. MEA Healthcare Fraud Analytics, by Type USD Million (2025-2030)
  • Table 235. MEA Healthcare Fraud Analytics, by Application USD Million (2025-2030)
  • Table 236. MEA Healthcare Fraud Analytics, by End Use USD Million (2025-2030)
  • Table 237. MEA Healthcare Fraud Analytics, by Component USD Million (2025-2030)
  • Table 238. Middle East Healthcare Fraud Analytics, by Type USD Million (2025-2030)
  • Table 239. Middle East Healthcare Fraud Analytics, by Application USD Million (2025-2030)
  • Table 240. Middle East Healthcare Fraud Analytics, by End Use USD Million (2025-2030)
  • Table 241. Middle East Healthcare Fraud Analytics, by Component USD Million (2025-2030)
  • Table 242. Africa Healthcare Fraud Analytics, by Type USD Million (2025-2030)
  • Table 243. Africa Healthcare Fraud Analytics, by Application USD Million (2025-2030)
  • Table 244. Africa Healthcare Fraud Analytics, by End Use USD Million (2025-2030)
  • Table 245. Africa Healthcare Fraud Analytics, by Component USD Million (2025-2030)
  • Table 246. North America Healthcare Fraud Analytics, by Country USD Million (2025-2030)
  • Table 247. North America Healthcare Fraud Analytics, by Type USD Million (2025-2030)
  • Table 248. North America Healthcare Fraud Analytics, by Application USD Million (2025-2030)
  • Table 249. North America Healthcare Fraud Analytics, by End Use USD Million (2025-2030)
  • Table 250. North America Healthcare Fraud Analytics, by Component USD Million (2025-2030)
  • Table 251. United States Healthcare Fraud Analytics, by Type USD Million (2025-2030)
  • Table 252. United States Healthcare Fraud Analytics, by Application USD Million (2025-2030)
  • Table 253. United States Healthcare Fraud Analytics, by End Use USD Million (2025-2030)
  • Table 254. United States Healthcare Fraud Analytics, by Component USD Million (2025-2030)
  • Table 255. Canada Healthcare Fraud Analytics, by Type USD Million (2025-2030)
  • Table 256. Canada Healthcare Fraud Analytics, by Application USD Million (2025-2030)
  • Table 257. Canada Healthcare Fraud Analytics, by End Use USD Million (2025-2030)
  • Table 258. Canada Healthcare Fraud Analytics, by Component USD Million (2025-2030)
  • Table 259. Mexico Healthcare Fraud Analytics, by Type USD Million (2025-2030)
  • Table 260. Mexico Healthcare Fraud Analytics, by Application USD Million (2025-2030)
  • Table 261. Mexico Healthcare Fraud Analytics, by End Use USD Million (2025-2030)
  • Table 262. Mexico Healthcare Fraud Analytics, by Component USD Million (2025-2030)
  • Table 263. Research Programs/Design for This Report
  • Table 264. Key Data Information from Secondary Sources
  • Table 265. Key Data Information from Primary Sources
List of Figures
  • Figure 1. Porters Five Forces
  • Figure 2. Supply/Value Chain
  • Figure 3. PESTEL analysis
  • Figure 4. Global Healthcare Fraud Analytics: by Type USD Million (2018-2023)
  • Figure 5. Global Healthcare Fraud Analytics: by Application USD Million (2018-2023)
  • Figure 6. Global Healthcare Fraud Analytics: by End Use USD Million (2018-2023)
  • Figure 7. Global Healthcare Fraud Analytics: by Component USD Million (2018-2023)
  • Figure 8. South America Healthcare Fraud Analytics Share (%), by Country
  • Figure 9. Asia Pacific Healthcare Fraud Analytics Share (%), by Country
  • Figure 10. Europe Healthcare Fraud Analytics Share (%), by Country
  • Figure 11. MEA Healthcare Fraud Analytics Share (%), by Country
  • Figure 12. North America Healthcare Fraud Analytics Share (%), by Country
  • Figure 13. Global Healthcare Fraud Analytics share by Players 2023 (%)
  • Figure 14. Global Healthcare Fraud Analytics share by Players (Top 3) 2023(%)
  • Figure 15. Global Healthcare Fraud Analytics share by Players (Top 5) 2023(%)
  • Figure 16. BCG Matrix for key Companies
  • Figure 17. SAS Institute Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 18. SAS Institute Inc. (United States) Revenue: by Geography 2023
  • Figure 19. CGI Inc. (Canada) Revenue, Net Income and Gross profit
  • Figure 20. CGI Inc. (Canada) Revenue: by Geography 2023
  • Figure 21. IBM Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 22. IBM Corporation (United States) Revenue: by Geography 2023
  • Figure 23. Cotiviti, Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 24. Cotiviti, Inc. (United States) Revenue: by Geography 2023
  • Figure 25. SCIOInspire, Corp. (United States) Revenue, Net Income and Gross profit
  • Figure 26. SCIOInspire, Corp. (United States) Revenue: by Geography 2023
  • Figure 27. Optum, Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 28. Optum, Inc. (United States) Revenue: by Geography 2023
  • Figure 29. DXC Technology (United States) Revenue, Net Income and Gross profit
  • Figure 30. DXC Technology (United States) Revenue: by Geography 2023
  • Figure 31. McKesson Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 32. McKesson Corporation (United States) Revenue: by Geography 2023
  • Figure 33. HCL Technologies Limited (India) Revenue, Net Income and Gross profit
  • Figure 34. HCL Technologies Limited (India) Revenue: by Geography 2023
  • Figure 35. Wipro Limited (India) Revenue, Net Income and Gross profit
  • Figure 36. Wipro Limited (India) Revenue: by Geography 2023
  • Figure 37. Global Healthcare Fraud Analytics: by Type USD Million (2025-2030)
  • Figure 38. Global Healthcare Fraud Analytics: by Application USD Million (2025-2030)
  • Figure 39. Global Healthcare Fraud Analytics: by End Use USD Million (2025-2030)
  • Figure 40. Global Healthcare Fraud Analytics: by Component USD Million (2025-2030)
  • Figure 41. South America Healthcare Fraud Analytics Share (%), by Country
  • Figure 42. Asia Pacific Healthcare Fraud Analytics Share (%), by Country
  • Figure 43. Europe Healthcare Fraud Analytics Share (%), by Country
  • Figure 44. MEA Healthcare Fraud Analytics Share (%), by Country
  • Figure 45. North America Healthcare Fraud Analytics Share (%), by Country
List of companies from research coverage that are profiled in the study
  • SAS Institute Inc. (United States)
  • CGI Inc. (Canada)
  • IBM Corporation (United States)
  • Cotiviti, Inc. (United States)
  • SCIOInspire, Corp. (United States)
  • Optum, Inc. (United States)
  • DXC Technology (United States)
  • McKesson Corporation (United States)
  • HCL Technologies Limited (India)
  • Wipro Limited (India)
Additional players considered in the study are as follows:
Pondera Solutions, LLC (United States) , Relx Group PLC (United Kingdom) , ClarisHealth (United States)
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Mar 2024 221 Pages 50 Tables Base Year: 2023 Coverage: 15+ Companies; 18 Countries

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Global Healthcare Fraud Analytics Market Quantitative research analysis
Global Healthcare Fraud Analytics Market Qualitative Industry Analysis
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Frequently Asked Questions (FAQ):

The standard version of the report profiles players such as SAS Institute Inc. (United States), CGI Inc. (Canada), IBM Corporation (United States), Cotiviti, Inc. (United States), SCIOInspire, Corp. (United States), Optum, Inc. (United States), DXC Technology (United States), McKesson Corporation (United States), HCL Technologies Limited (India) and Wipro Limited (India) etc.
The Study can be customized subject to feasibility and data availability. Please connect with our sales representative for further information.
"Predictive Analytics is rising in Popularity" is seen as one of major influencing trends for Healthcare Fraud Analytics Market during projected period 2023-2030.
The Healthcare Fraud Analytics market study includes a random mix of players, including both market leaders and some top growing emerging players. Connect with our sales executive to get a complete company list in our research coverage.

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