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Healthcare Fraud Detection Market by Solution Type, Delivery Mode, Application, End User - Global Forecast 2025-2030

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    Report

  • 195 Pages
  • October 2024
  • Region: Global
  • 360iResearch™
  • ID: 5715766
UP TO OFF until Dec 31st 2024
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The Healthcare Fraud Detection Market grew from USD 1.91 billion in 2023 to USD 2.22 billion in 2024. It is expected to continue growing at a CAGR of 20.17%, reaching USD 6.91 billion by 2030.

The healthcare fraud detection market focuses on identifying and preventing fraudulent activities within the healthcare sector, encompassing billing inaccuracies, false claims, and unqualified service provocation. As healthcare fraud results in significant financial losses globally, estimated in billions annually, the deployment of advanced technologies such as AI, machine learning, and big data analytics becomes crucial. These technologies are applied to analyze vast datasets, identify anomalous patterns, and automate real-time detection processes. The end-use scope includes private insurers, government bodies, and healthcare providers who seek to minimize financial losses and enhance operational integrity by detecting and preventing fraudulent claims. The growth of the market is influenced by factors such as the rising incidence of health insurance fraud, increasing regulatory scrutiny, and the growing adoption of digital solutions across healthcare sectors. Potential opportunities lie in the integration of blockchain technology to enhance data security and transparency and the development of predictive analytics tools for early fraud detection. Organizations can capitalize on these opportunities by investing in R&D to create innovative solutions tailored to specific fraud scenarios. However, challenges such as the complexity of fraud schemes, high implementation costs, and privacy concerns related to handling sensitive medical data pose significant barriers to market growth. Navigating these challenges requires strategic partnerships and cross-industry collaborations to share insights and develop robust, scalable solutions. Innovation areas include the development of more sophisticated anomaly detection algorithms and the enhancement of interoperability between various healthcare IT systems to facilitate comprehensive data analysis. The market is characterized by rapid technological advancements and regulatory changes, necessitating continuous adaptation and investment in cutting-edge technologies to stay ahead. For business growth, organizations should prioritize developing customizable, scalable fraud detection solutions that align with clients' specific needs while ensuring compliance with evolving regulatory standards.

Understanding Market Dynamics in the Healthcare Fraud Detection Market

The Healthcare Fraud Detection Market is rapidly evolving, shaped by dynamic supply and demand trends. These insights provide companies with actionable intelligence to drive investments, develop strategies, and seize emerging opportunities. A comprehensive understanding of market dynamics also helps organizations mitigate political, geographical, technical, social, and economic risks while offering a clearer view of consumer behavior and its effects on manufacturing costs and purchasing decisions.
  • Market Drivers
    • Increase in number of patients seeking health insurance
    • Rising adoption of cloud-based analytical solutions coupled with increase in fraudulent events in healthcare industry
    • Growing need for solutions that have biometric sensors to identify frauds
  • Market Restraints
    • Limitations in data capturing process and dearth of skilled professionals
  • Market Opportunities
    • Introduction of advanced softwares integrated with artificial intelligence and machine learning
    • Rise in number of healthcare BPO and fraud identity management software
  • Market Challenges
    • Need for frequent upgradation

Exploring Porter’s Five Forces for the Healthcare Fraud Detection Market

Porter’s Five Forces framework further strengthens the insights of the Healthcare Fraud Detection Market, delivering a clear and effective methodology for understanding the competitive landscape. This tool enables companies to evaluate their current competitive standing and explore strategic repositioning by assessing businesses’ power dynamics and market positioning. It is also instrumental in determining the profitability of new ventures, helping companies leverage their strengths, address weaknesses, and avoid potential pitfalls.

Applying PESTLE Analysis to the Healthcare Fraud Detection Market

External macro-environmental factors deeply influence the performance of the Healthcare Fraud Detection Market, and the PESTLE analysis provides a comprehensive framework for understanding these influences. By examining Political, Economic, Social, Technological, Legal, and Environmental elements, this analysis offers organizations critical insights into potential opportunities and risks. It also helps businesses anticipate changes in regulations, consumer behavior, and economic trends, enabling them to make informed, forward-looking decisions.

Analyzing Market Share in the Healthcare Fraud Detection Market

The Healthcare Fraud Detection Market share analysis evaluates vendor performance. This analysis provides a clear view of each vendor’s standing in the competitive landscape by comparing key metrics such as revenue, customer base, and other critical factors. Additionally, it highlights market concentration, fragmentation, and trends in consolidation, empowering vendors to make strategic decisions that enhance their market position.

Evaluating Vendor Success with the FPNV Positioning Matrix in the Healthcare Fraud Detection Market

The Healthcare Fraud Detection Market FPNV Positioning Matrix is crucial in evaluating vendors based on business strategy and product satisfaction levels. By segmenting vendors into four quadrants - Forefront (F), Pathfinder (P), Niche (N), and Vital (V) - this matrix helps users make well-informed decisions that best align with their unique needs and objectives in the market.

Strategic Recommendations for Success in the Healthcare Fraud Detection Market

The Healthcare Fraud Detection Market strategic analysis is essential for organizations aiming to strengthen their position in the global market. A comprehensive review of resources, capabilities, and performance helps businesses identify opportunities for improvement and growth. This approach empowers companies to navigate challenges in the increasingly competitive landscape, ensuring they capitalize on new opportunities and align with long-term success.

Key Company Profiles

The report delves into recent significant developments in the Healthcare Fraud Detection Market, highlighting leading vendors and their innovative profiles. These include CGI Inc., Change Healthcare, Conduent Inc., Cotiviti Inc., DXC Technology Company, ExlService Holdings Inc., Fair Isaac Corporation, FraudLens Inc., H20.ai, HCL Technologies Limited, International Business Machines Corporation, Northrop Grumman Corporation, Optum Inc., OSP Labs, SAS Institute Inc., and Wipro Ltd..

Market Segmentation & Coverage

This research report categorizes the Healthcare Fraud Detection Market to forecast the revenues and analyze trends in each of the following sub-markets:
  • Solution Type
    • Descriptive Analytics
    • Predictive Analytics
    • Prescriptive Analytics
  • Delivery Mode
    • On-Cloud
    • On-Premise
  • Application
    • Insurance Claims Review
    • Payment Integrity
  • End User
    • Government Agencies
    • Healthcare Payer
  • Region
    • Americas
      • Argentina
      • Brazil
      • Canada
      • Mexico
      • United States
        • California
        • Florida
        • Illinois
        • New York
        • Ohio
        • Pennsylvania
        • Texas
    • Asia-Pacific
      • Australia
      • China
      • India
      • Indonesia
      • Japan
      • Malaysia
      • Philippines
      • Singapore
      • South Korea
      • Taiwan
      • Thailand
      • Vietnam
    • Europe, Middle East & Africa
      • Denmark
      • Egypt
      • Finland
      • France
      • Germany
      • Israel
      • Italy
      • Netherlands
      • Nigeria
      • Norway
      • Poland
      • Qatar
      • Russia
      • Saudi Arabia
      • South Africa
      • Spain
      • Sweden
      • Switzerland
      • Turkey
      • United Arab Emirates
      • United Kingdom

The report provides a detailed overview of the market, exploring several key areas:

  1. Market Penetration: A thorough examination of the current market landscape, featuring comprehensive data from leading industry players and analyzing their reach and influence across the market.
  2. Market Development: The report identifies significant growth opportunities in emerging markets and assesses expansion potential within established segments, providing a roadmap for future development.
  3. Market Diversification: In-depth coverage of recent product launches, untapped geographic regions, significant industry developments, and strategic investments reshaping the market landscape.
  4. Competitive Assessment & Intelligence: A detailed analysis of the competitive landscape, covering market share, business strategies, product portfolios, certifications, regulatory approvals, patent trends, technological advancements, and innovations in manufacturing by key market players.
  5. Product Development & Innovation: Insight into groundbreaking technologies, R&D efforts, and product innovations that will drive the market in future.

Additionally, the report addresses key questions to assist stakeholders in making informed decisions:

  1. What is the current size of the market, and how is it expected to grow?
  2. Which products, segments, and regions present the most attractive investment opportunities?
  3. What are the prevailing technology trends and regulatory factors influencing the market?
  4. How do top vendors rank regarding market share and competitive positioning?
  5. What revenue sources and strategic opportunities guide vendors' market entry or exit decisions?

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
2.1. Define: Research Objective
2.2. Determine: Research Design
2.3. Prepare: Research Instrument
2.4. Collect: Data Source
2.5. Analyze: Data Interpretation
2.6. Formulate: Data Verification
2.7. Publish: Research Report
2.8. Repeat: Report Update
3. Executive Summary
4. Market Overview
5. Market Insights
5.1. Market Dynamics
5.1.1. Drivers
5.1.1.1. Increase in number of patients seeking health insurance
5.1.1.2. Rising adoption of cloud-based analytical solutions coupled with increase in fraudulent events in healthcare industry
5.1.1.3. Growing need for solutions that have biometric sensors to identify frauds
5.1.2. Restraints
5.1.2.1. Limitations in data capturing process and dearth of skilled professionals
5.1.3. Opportunities
5.1.3.1. Introduction of advanced softwares integrated with artificial intelligence and machine learning
5.1.3.2. Rise in number of healthcare BPO and fraud identity management software
5.1.4. Challenges
5.1.4.1. Need for frequent upgradation
5.2. Market Segmentation Analysis
5.3. Porter’s Five Forces Analysis
5.3.1. Threat of New Entrants
5.3.2. Threat of Substitutes
5.3.3. Bargaining Power of Customers
5.3.4. Bargaining Power of Suppliers
5.3.5. Industry Rivalry
5.4. PESTLE Analysis
5.4.1. Political
5.4.2. Economic
5.4.3. Social
5.4.4. Technological
5.4.5. Legal
5.4.6. Environmental
6. Healthcare Fraud Detection Market, by Solution Type
6.1. Introduction
6.2. Descriptive Analytics
6.3. Predictive Analytics
6.4. Prescriptive Analytics
7. Healthcare Fraud Detection Market, by Delivery Mode
7.1. Introduction
7.2. On-Cloud
7.3. On-Premise
8. Healthcare Fraud Detection Market, by Application
8.1. Introduction
8.2. Insurance Claims Review
8.3. Payment Integrity
9. Healthcare Fraud Detection Market, by End User
9.1. Introduction
9.2. Government Agencies
9.3. Healthcare Payer
10. Americas Healthcare Fraud Detection Market
10.1. Introduction
10.2. Argentina
10.3. Brazil
10.4. Canada
10.5. Mexico
10.6. United States
11. Asia-Pacific Healthcare Fraud Detection Market
11.1. Introduction
11.2. Australia
11.3. China
11.4. India
11.5. Indonesia
11.6. Japan
11.7. Malaysia
11.8. Philippines
11.9. Singapore
11.10. South Korea
11.11. Taiwan
11.12. Thailand
11.13. Vietnam
12. Europe, Middle East & Africa Healthcare Fraud Detection Market
12.1. Introduction
12.2. Denmark
12.3. Egypt
12.4. Finland
12.5. France
12.6. Germany
12.7. Israel
12.8. Italy
12.9. Netherlands
12.10. Nigeria
12.11. Norway
12.12. Poland
12.13. Qatar
12.14. Russia
12.15. Saudi Arabia
12.16. South Africa
12.17. Spain
12.18. Sweden
12.19. Switzerland
12.20. Turkey
12.21. United Arab Emirates
12.22. United Kingdom
13. Competitive Landscape
13.1. Market Share Analysis, 2023
13.2. FPNV Positioning Matrix, 2023
13.3. Competitive Scenario Analysis
13.4. Strategy Analysis & Recommendation
List of Figures
FIGURE 1. HEALTHCARE FRAUD DETECTION MARKET RESEARCH PROCESS
FIGURE 2. HEALTHCARE FRAUD DETECTION MARKET SIZE, 2023 VS 2030
FIGURE 3. GLOBAL HEALTHCARE FRAUD DETECTION MARKET SIZE, 2018-2030 (USD MILLION)
FIGURE 4. GLOBAL HEALTHCARE FRAUD DETECTION MARKET SIZE, BY REGION, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 5. GLOBAL HEALTHCARE FRAUD DETECTION MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 6. GLOBAL HEALTHCARE FRAUD DETECTION MARKET SIZE, BY SOLUTION TYPE, 2023 VS 2030 (%)
FIGURE 7. GLOBAL HEALTHCARE FRAUD DETECTION MARKET SIZE, BY SOLUTION TYPE, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 8. GLOBAL HEALTHCARE FRAUD DETECTION MARKET SIZE, BY DELIVERY MODE, 2023 VS 2030 (%)
FIGURE 9. GLOBAL HEALTHCARE FRAUD DETECTION MARKET SIZE, BY DELIVERY MODE, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 10. GLOBAL HEALTHCARE FRAUD DETECTION MARKET SIZE, BY APPLICATION, 2023 VS 2030 (%)
FIGURE 11. GLOBAL HEALTHCARE FRAUD DETECTION MARKET SIZE, BY APPLICATION, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 12. GLOBAL HEALTHCARE FRAUD DETECTION MARKET SIZE, BY END USER, 2023 VS 2030 (%)
FIGURE 13. GLOBAL HEALTHCARE FRAUD DETECTION MARKET SIZE, BY END USER, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 14. AMERICAS HEALTHCARE FRAUD DETECTION MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
FIGURE 15. AMERICAS HEALTHCARE FRAUD DETECTION MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 16. UNITED STATES HEALTHCARE FRAUD DETECTION MARKET SIZE, BY STATE, 2023 VS 2030 (%)
FIGURE 17. UNITED STATES HEALTHCARE FRAUD DETECTION MARKET SIZE, BY STATE, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 18. ASIA-PACIFIC HEALTHCARE FRAUD DETECTION MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
FIGURE 19. ASIA-PACIFIC HEALTHCARE FRAUD DETECTION MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 20. EUROPE, MIDDLE EAST & AFRICA HEALTHCARE FRAUD DETECTION MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
FIGURE 21. EUROPE, MIDDLE EAST & AFRICA HEALTHCARE FRAUD DETECTION MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 22. HEALTHCARE FRAUD DETECTION MARKET SHARE, BY KEY PLAYER, 2023
FIGURE 23. HEALTHCARE FRAUD DETECTION MARKET, FPNV POSITIONING MATRIX, 2023
List of Tables
TABLE 1. HEALTHCARE FRAUD DETECTION MARKET SEGMENTATION & COVERAGE
TABLE 2. UNITED STATES DOLLAR EXCHANGE RATE, 2018-2023
TABLE 3. GLOBAL HEALTHCARE FRAUD DETECTION MARKET SIZE, 2018-2030 (USD MILLION)
TABLE 4. GLOBAL HEALTHCARE FRAUD DETECTION MARKET SIZE, BY REGION, 2018-2030 (USD MILLION)
TABLE 5. GLOBAL HEALTHCARE FRAUD DETECTION MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
TABLE 6. HEALTHCARE FRAUD DETECTION MARKET DYNAMICS
TABLE 7. GLOBAL HEALTHCARE FRAUD DETECTION MARKET SIZE, BY SOLUTION TYPE, 2018-2030 (USD MILLION)
TABLE 8. GLOBAL HEALTHCARE FRAUD DETECTION MARKET SIZE, BY DESCRIPTIVE ANALYTICS, BY REGION, 2018-2030 (USD MILLION)
TABLE 9. GLOBAL HEALTHCARE FRAUD DETECTION MARKET SIZE, BY PREDICTIVE ANALYTICS, BY REGION, 2018-2030 (USD MILLION)
TABLE 10. GLOBAL HEALTHCARE FRAUD DETECTION MARKET SIZE, BY PRESCRIPTIVE ANALYTICS, BY REGION, 2018-2030 (USD MILLION)
TABLE 11. GLOBAL HEALTHCARE FRAUD DETECTION MARKET SIZE, BY DELIVERY MODE, 2018-2030 (USD MILLION)
TABLE 12. GLOBAL HEALTHCARE FRAUD DETECTION MARKET SIZE, BY ON-CLOUD, BY REGION, 2018-2030 (USD MILLION)
TABLE 13. GLOBAL HEALTHCARE FRAUD DETECTION MARKET SIZE, BY ON-PREMISE, BY REGION, 2018-2030 (USD MILLION)
TABLE 14. GLOBAL HEALTHCARE FRAUD DETECTION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 15. GLOBAL HEALTHCARE FRAUD DETECTION MARKET SIZE, BY INSURANCE CLAIMS REVIEW, BY REGION, 2018-2030 (USD MILLION)
TABLE 16. GLOBAL HEALTHCARE FRAUD DETECTION MARKET SIZE, BY PAYMENT INTEGRITY, BY REGION, 2018-2030 (USD MILLION)
TABLE 17. GLOBAL HEALTHCARE FRAUD DETECTION MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 18. GLOBAL HEALTHCARE FRAUD DETECTION MARKET SIZE, BY GOVERNMENT AGENCIES, BY REGION, 2018-2030 (USD MILLION)
TABLE 19. GLOBAL HEALTHCARE FRAUD DETECTION MARKET SIZE, BY HEALTHCARE PAYER, BY REGION, 2018-2030 (USD MILLION)
TABLE 20. AMERICAS HEALTHCARE FRAUD DETECTION MARKET SIZE, BY SOLUTION TYPE, 2018-2030 (USD MILLION)
TABLE 21. AMERICAS HEALTHCARE FRAUD DETECTION MARKET SIZE, BY DELIVERY MODE, 2018-2030 (USD MILLION)
TABLE 22. AMERICAS HEALTHCARE FRAUD DETECTION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 23. AMERICAS HEALTHCARE FRAUD DETECTION MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 24. AMERICAS HEALTHCARE FRAUD DETECTION MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
TABLE 25. ARGENTINA HEALTHCARE FRAUD DETECTION MARKET SIZE, BY SOLUTION TYPE, 2018-2030 (USD MILLION)
TABLE 26. ARGENTINA HEALTHCARE FRAUD DETECTION MARKET SIZE, BY DELIVERY MODE, 2018-2030 (USD MILLION)
TABLE 27. ARGENTINA HEALTHCARE FRAUD DETECTION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 28. ARGENTINA HEALTHCARE FRAUD DETECTION MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 29. BRAZIL HEALTHCARE FRAUD DETECTION MARKET SIZE, BY SOLUTION TYPE, 2018-2030 (USD MILLION)
TABLE 30. BRAZIL HEALTHCARE FRAUD DETECTION MARKET SIZE, BY DELIVERY MODE, 2018-2030 (USD MILLION)
TABLE 31. BRAZIL HEALTHCARE FRAUD DETECTION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 32. BRAZIL HEALTHCARE FRAUD DETECTION MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 33. CANADA HEALTHCARE FRAUD DETECTION MARKET SIZE, BY SOLUTION TYPE, 2018-2030 (USD MILLION)
TABLE 34. CANADA HEALTHCARE FRAUD DETECTION MARKET SIZE, BY DELIVERY MODE, 2018-2030 (USD MILLION)
TABLE 35. CANADA HEALTHCARE FRAUD DETECTION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 36. CANADA HEALTHCARE FRAUD DETECTION MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 37. MEXICO HEALTHCARE FRAUD DETECTION MARKET SIZE, BY SOLUTION TYPE, 2018-2030 (USD MILLION)
TABLE 38. MEXICO HEALTHCARE FRAUD DETECTION MARKET SIZE, BY DELIVERY MODE, 2018-2030 (USD MILLION)
TABLE 39. MEXICO HEALTHCARE FRAUD DETECTION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 40. MEXICO HEALTHCARE FRAUD DETECTION MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 41. UNITED STATES HEALTHCARE FRAUD DETECTION MARKET SIZE, BY SOLUTION TYPE, 2018-2030 (USD MILLION)
TABLE 42. UNITED STATES HEALTHCARE FRAUD DETECTION MARKET SIZE, BY DELIVERY MODE, 2018-2030 (USD MILLION)
TABLE 43. UNITED STATES HEALTHCARE FRAUD DETECTION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 44. UNITED STATES HEALTHCARE FRAUD DETECTION MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 45. UNITED STATES HEALTHCARE FRAUD DETECTION MARKET SIZE, BY STATE, 2018-2030 (USD MILLION)
TABLE 46. ASIA-PACIFIC HEALTHCARE FRAUD DETECTION MARKET SIZE, BY SOLUTION TYPE, 2018-2030 (USD MILLION)
TABLE 47. ASIA-PACIFIC HEALTHCARE FRAUD DETECTION MARKET SIZE, BY DELIVERY MODE, 2018-2030 (USD MILLION)
TABLE 48. ASIA-PACIFIC HEALTHCARE FRAUD DETECTION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 49. ASIA-PACIFIC HEALTHCARE FRAUD DETECTION MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 50. ASIA-PACIFIC HEALTHCARE FRAUD DETECTION MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
TABLE 51. AUSTRALIA HEALTHCARE FRAUD DETECTION MARKET SIZE, BY SOLUTION TYPE, 2018-2030 (USD MILLION)
TABLE 52. AUSTRALIA HEALTHCARE FRAUD DETECTION MARKET SIZE, BY DELIVERY MODE, 2018-2030 (USD MILLION)
TABLE 53. AUSTRALIA HEALTHCARE FRAUD DETECTION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 54. AUSTRALIA HEALTHCARE FRAUD DETECTION MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 55. CHINA HEALTHCARE FRAUD DETECTION MARKET SIZE, BY SOLUTION TYPE, 2018-2030 (USD MILLION)
TABLE 56. CHINA HEALTHCARE FRAUD DETECTION MARKET SIZE, BY DELIVERY MODE, 2018-2030 (USD MILLION)
TABLE 57. CHINA HEALTHCARE FRAUD DETECTION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 58. CHINA HEALTHCARE FRAUD DETECTION MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 59. INDIA HEALTHCARE FRAUD DETECTION MARKET SIZE, BY SOLUTION TYPE, 2018-2030 (USD MILLION)
TABLE 60. INDIA HEALTHCARE FRAUD DETECTION MARKET SIZE, BY DELIVERY MODE, 2018-2030 (USD MILLION)
TABLE 61. INDIA HEALTHCARE FRAUD DETECTION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 62. INDIA HEALTHCARE FRAUD DETECTION MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 63. INDONESIA HEALTHCARE FRAUD DETECTION MARKET SIZE, BY SOLUTION TYPE, 2018-2030 (USD MILLION)
TABLE 64. INDONESIA HEALTHCARE FRAUD DETECTION MARKET SIZE, BY DELIVERY MODE, 2018-2030 (USD MILLION)
TABLE 65. INDONESIA HEALTHCARE FRAUD DETECTION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 66. INDONESIA HEALTHCARE FRAUD DETECTION MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 67. JAPAN HEALTHCARE FRAUD DETECTION MARKET SIZE, BY SOLUTION TYPE, 2018-2030 (USD MILLION)
TABLE 68. JAPAN HEALTHCARE FRAUD DETECTION MARKET SIZE, BY DELIVERY MODE, 2018-2030 (USD MILLION)
TABLE 69. JAPAN HEALTHCARE FRAUD DETECTION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 70. JAPAN HEALTHCARE FRAUD DETECTION MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 71. MALAYSIA HEALTHCARE FRAUD DETECTION MARKET SIZE, BY SOLUTION TYPE, 2018-2030 (USD MILLION)
TABLE 72. MALAYSIA HEALTHCARE FRAUD DETECTION MARKET SIZE, BY DELIVERY MODE, 2018-2030 (USD MILLION)
TABLE 73. MALAYSIA HEALTHCARE FRAUD DETECTION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 74. MALAYSIA HEALTHCARE FRAUD DETECTION MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 75. PHILIPPINES HEALTHCARE FRAUD DETECTION MARKET SIZE, BY SOLUTION TYPE, 2018-2030 (USD MILLION)
TABLE 76. PHILIPPINES HEALTHCARE FRAUD DETECTION MARKET SIZE, BY DELIVERY MODE, 2018-2030 (USD MILLION)
TABLE 77. PHILIPPINES HEALTHCARE FRAUD DETECTION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 78. PHILIPPINES HEALTHCARE FRAUD DETECTION MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 79. SINGAPORE HEALTHCARE FRAUD DETECTION MARKET SIZE, BY SOLUTION TYPE, 2018-2030 (USD MILLION)
TABLE 80. SINGAPORE HEALTHCARE FRAUD DETECTION MARKET SIZE, BY DELIVERY MODE, 2018-2030 (USD MILLION)
TABLE 81. SINGAPORE HEALTHCARE FRAUD DETECTION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 82. SINGAPORE HEALTHCARE FRAUD DETECTION MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 83. SOUTH KOREA HEALTHCARE FRAUD DETECTION MARKET SIZE, BY SOLUTION TYPE, 2018-2030 (USD MILLION)
TABLE 84. SOUTH KOREA HEALTHCARE FRAUD DETECTION MARKET SIZE, BY DELIVERY MODE, 2018-2030 (USD MILLION)
TABLE 85. SOUTH KOREA HEALTHCARE FRAUD DETECTION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 86. SOUTH KOREA HEALTHCARE FRAUD DETECTION MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 87. TAIWAN HEALTHCARE FRAUD DETECTION MARKET SIZE, BY SOLUTION TYPE, 2018-2030 (USD MILLION)
TABLE 88. TAIWAN HEALTHCARE FRAUD DETECTION MARKET SIZE, BY DELIVERY MODE, 2018-2030 (USD MILLION)
TABLE 89. TAIWAN HEALTHCARE FRAUD DETECTION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 90. TAIWAN HEALTHCARE FRAUD DETECTION MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 91. THAILAND HEALTHCARE FRAUD DETECTION MARKET SIZE, BY SOLUTION TYPE, 2018-2030 (USD MILLION)
TABLE 92. THAILAND HEALTHCARE FRAUD DETECTION MARKET SIZE, BY DELIVERY MODE, 2018-2030 (USD MILLION)
TABLE 93. THAILAND HEALTHCARE FRAUD DETECTION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 94. THAILAND HEALTHCARE FRAUD DETECTION MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 95. VIETNAM HEALTHCARE FRAUD DETECTION MARKET SIZE, BY SOLUTION TYPE, 2018-2030 (USD MILLION)
TABLE 96. VIETNAM HEALTHCARE FRAUD DETECTION MARKET SIZE, BY DELIVERY MODE, 2018-2030 (USD MILLION)
TABLE 97. VIETNAM HEALTHCARE FRAUD DETECTION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 98. VIETNAM HEALTHCARE FRAUD DETECTION MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 99. EUROPE, MIDDLE EAST & AFRICA HEALTHCARE FRAUD DETECTION MARKET SIZE, BY SOLUTION TYPE, 2018-2030 (USD MILLION)
TABLE 100. EUROPE, MIDDLE EAST & AFRICA HEALTHCARE FRAUD DETECTION MARKET SIZE, BY DELIVERY MODE, 2018-2030 (USD MILLION)
TABLE 101. EUROPE, MIDDLE EAST & AFRICA HEALTHCARE FRAUD DETECTION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 102. EUROPE, MIDDLE EAST & AFRICA HEALTHCARE FRAUD DETECTION MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 103. EUROPE, MIDDLE EAST & AFRICA HEALTHCARE FRAUD DETECTION MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
TABLE 104. DENMARK HEALTHCARE FRAUD DETECTION MARKET SIZE, BY SOLUTION TYPE, 2018-2030 (USD MILLION)
TABLE 105. DENMARK HEALTHCARE FRAUD DETECTION MARKET SIZE, BY DELIVERY MODE, 2018-2030 (USD MILLION)
TABLE 106. DENMARK HEALTHCARE FRAUD DETECTION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 107. DENMARK HEALTHCARE FRAUD DETECTION MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 108. EGYPT HEALTHCARE FRAUD DETECTION MARKET SIZE, BY SOLUTION TYPE, 2018-2030 (USD MILLION)
TABLE 109. EGYPT HEALTHCARE FRAUD DETECTION MARKET SIZE, BY DELIVERY MODE, 2018-2030 (USD MILLION)
TABLE 110. EGYPT HEALTHCARE FRAUD DETECTION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 111. EGYPT HEALTHCARE FRAUD DETECTION MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 112. FINLAND HEALTHCARE FRAUD DETECTION MARKET SIZE, BY SOLUTION TYPE, 2018-2030 (USD MILLION)
TABLE 113. FINLAND HEALTHCARE FRAUD DETECTION MARKET SIZE, BY DELIVERY MODE, 2018-2030 (USD MILLION)
TABLE 114. FINLAND HEALTHCARE FRAUD DETECTION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 115. FINLAND HEALTHCARE FRAUD DETECTION MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 116. FRANCE HEALTHCARE FRAUD DETECTION MARKET SIZE, BY SOLUTION TYPE, 2018-2030 (USD MILLION)
TABLE 117. FRANCE HEALTHCARE FRAUD DETECTION MARKET SIZE, BY DELIVERY MODE, 2018-2030 (USD MILLION)
TABLE 118. FRANCE HEALTHCARE FRAUD DETECTION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 119. FRANCE HEALTHCARE FRAUD DETECTION MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 120. GERMANY HEALTHCARE FRAUD DETECTION MARKET SIZE, BY SOLUTION TYPE, 2018-2030 (USD MILLION)
TABLE 121. GERMANY HEALTHCARE FRAUD DETECTION MARKET SIZE, BY DELIVERY MODE, 2018-2030 (USD MILLION)
TABLE 122. GERMANY HEALTHCARE FRAUD DETECTION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 123. GERMANY HEALTHCARE FRAUD DETECTION MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 124. ISRAEL HEALTHCARE FRAUD DETECTION MARKET SIZE, BY SOLUTION TYPE, 2018-2030 (USD MILLION)
TABLE 125. ISRAEL HEALTHCARE FRAUD DETECTION MARKET SIZE, BY DELIVERY MODE, 2018-2030 (USD MILLION)
TABLE 126. ISRAEL HEALTHCARE FRAUD DETECTION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 127. ISRAEL HEALTHCARE FRAUD DETECTION MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 128. ITALY HEALTHCARE FRAUD DETECTION MARKET SIZE, BY SOLUTION TYPE, 2018-2030 (USD MILLION)
TABLE 129. ITALY HEALTHCARE FRAUD DETECTION MARKET SIZE, BY DELIVERY MODE, 2018-2030 (USD MILLION)
TABLE 130. ITALY HEALTHCARE FRAUD DETECTION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 131. ITALY HEALTHCARE FRAUD DETECTION MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 132. NETHERLANDS HEALTHCARE FRAUD DETECTION MARKET SIZE, BY SOLUTION TYPE, 2018-2030 (USD MILLION)
TABLE 133. NETHERLANDS HEALTHCARE FRAUD DETECTION MARKET SIZE, BY DELIVERY MODE, 2018-2030 (USD MILLION)
TABLE 134. NETHERLANDS HEALTHCARE FRAUD DETECTION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 135. NETHERLANDS HEALTHCARE FRAUD DETECTION MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 136. NIGERIA HEALTHCARE FRAUD DETECTION MARKET SIZE, BY SOLUTION TYPE, 2018-2030 (USD MILLION)
TABLE 137. NIGERIA HEALTHCARE FRAUD DETECTION MARKET SIZE, BY DELIVERY MODE, 2018-2030 (USD MILLION)
TABLE 138. NIGERIA HEALTHCARE FRAUD DETECTION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 139. NIGERIA HEALTHCARE FRAUD DETECTION MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 140. NORWAY HEALTHCARE FRAUD DETECTION MARKET SIZE, BY SOLUTION TYPE, 2018-2030 (USD MILLION)
TABLE 141. NORWAY HEALTHCARE FRAUD DETECTION MARKET SIZE, BY DELIVERY MODE, 2018-2030 (USD MILLION)
TABLE 142. NORWAY HEALTHCARE FRAUD DETECTION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 143. NORWAY HEALTHCARE FRAUD DETECTION MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 144. POLAND HEALTHCARE FRAUD DETECTION MARKET SIZE, BY SOLUTION TYPE, 2018-2030 (USD MILLION)
TABLE 145. POLAND HEALTHCARE FRAUD DETECTION MARKET SIZE, BY DELIVERY MODE, 2018-2030 (USD MILLION)
TABLE 146. POLAND HEALTHCARE FRAUD DETECTION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 147. POLAND HEALTHCARE FRAUD DETECTION MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 148. QATAR HEALTHCARE FRAUD DETECTION MARKET SIZE, BY SOLUTION TYPE, 2018-2030 (USD MILLION)
TABLE 149. QATAR HEALTHCARE FRAUD DETECTION MARKET SIZE, BY DELIVERY MODE, 2018-2030 (USD MILLION)
TABLE 150. QATAR HEALTHCARE FRAUD DETECTION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 151. QATAR HEALTHCARE FRAUD DETECTION MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 152. RUSSIA HEALTHCARE FRAUD DETECTION MARKET SIZE, BY SOLUTION TYPE, 2018-2030 (USD MILLION)
TABLE 153. RUSSIA HEALTHCARE FRAUD DETECTION MARKET SIZE, BY DELIVERY MODE, 2018-2030 (USD MILLION)
TABLE 154. RUSSIA HEALTHCARE FRAUD DETECTION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 155. RUSSIA HEALTHCARE FRAUD DETECTION MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 156. SAUDI ARABIA HEALTHCARE FRAUD DETECTION MARKET SIZE, BY SOLUTION TYPE, 2018-2030 (USD MILLION)
TABLE 157. SAUDI ARABIA HEALTHCARE FRAUD DETECTION MARKET SIZE, BY DELIVERY MODE, 2018-2030 (USD MILLION)
TABLE 158. SAUDI ARABIA HEALTHCARE FRAUD DETECTION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 159. SAUDI ARABIA HEALTHCARE FRAUD DETECTION MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 160. SOUTH AFRICA HEALTHCARE FRAUD DETECTION MARKET SIZE, BY SOLUTION TYPE, 2018-2030 (USD MILLION)
TABLE 161. SOUTH AFRICA HEALTHCARE FRAUD DETECTION MARKET SIZE, BY DELIVERY MODE, 2018-2030 (USD MILLION)
TABLE 162. SOUTH AFRICA HEALTHCARE FRAUD DETECTION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 163. SOUTH AFRICA HEALTHCARE FRAUD DETECTION MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 164. SPAIN HEALTHCARE FRAUD DETECTION MARKET SIZE, BY SOLUTION TYPE, 2018-2030 (USD MILLION)
TABLE 165. SPAIN HEALTHCARE FRAUD DETECTION MARKET SIZE, BY DELIVERY MODE, 2018-2030 (USD MILLION)
TABLE 166. SPAIN HEALTHCARE FRAUD DETECTION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 167. SPAIN HEALTHCARE FRAUD DETECTION MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 168. SWEDEN HEALTHCARE FRAUD DETECTION MARKET SIZE, BY SOLUTION TYPE, 2018-2030 (USD MILLION)
TABLE 169. SWEDEN HEALTHCARE FRAUD DETECTION MARKET SIZE, BY DELIVERY MODE, 2018-2030 (USD MILLION)
TABLE 170. SWEDEN HEALTHCARE FRAUD DETECTION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 171. SWEDEN HEALTHCARE FRAUD DETECTION MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 172. SWITZERLAND HEALTHCARE FRAUD DETECTION MARKET SIZE, BY SOLUTION TYPE, 2018-2030 (USD MILLION)
TABLE 173. SWITZERLAND HEALTHCARE FRAUD DETECTION MARKET SIZE, BY DELIVERY MODE, 2018-2030 (USD MILLION)
TABLE 174. SWITZERLAND HEALTHCARE FRAUD DETECTION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 175. SWITZERLAND HEALTHCARE FRAUD DETECTION MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 176. TURKEY HEALTHCARE FRAUD DETECTION MARKET SIZE, BY SOLUTION TYPE, 2018-2030 (USD MILLION)
TABLE 177. TURKEY HEALTHCARE FRAUD DETECTION MARKET SIZE, BY DELIVERY MODE, 2018-2030 (USD MILLION)
TABLE 178. TURKEY HEALTHCARE FRAUD DETECTION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 179. TURKEY HEALTHCARE FRAUD DETECTION MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 180. UNITED ARAB EMIRATES HEALTHCARE FRAUD DETECTION MARKET SIZE, BY SOLUTION TYPE, 2018-2030 (USD MILLION)
TABLE 181. UNITED ARAB EMIRATES HEALTHCARE FRAUD DETECTION MARKET SIZE, BY DELIVERY MODE, 2018-2030 (USD MILLION)
TABLE 182. UNITED ARAB EMIRATES HEALTHCARE FRAUD DETECTION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 183. UNITED ARAB EMIRATES HEALTHCARE FRAUD DETECTION MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 184. UNITED KINGDOM HEALTHCARE FRAUD DETECTION MARKET SIZE, BY SOLUTION TYPE, 2018-2030 (USD MILLION)
TABLE 185. UNITED KINGDOM HEALTHCARE FRAUD DETECTION MARKET SIZE, BY DELIVERY MODE, 2018-2030 (USD MILLION)
TABLE 186. UNITED KINGDOM HEALTHCARE FRAUD DETECTION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 187. UNITED KINGDOM HEALTHCARE FRAUD DETECTION MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 188. HEALTHCARE FRAUD DETECTION MARKET SHARE, BY KEY PLAYER, 2023
TABLE 189. HEALTHCARE FRAUD DETECTION MARKET, FPNV POSITIONING MATRIX, 2023

Companies Mentioned

The leading players in the Healthcare Fraud Detection Market, which are profiled in this report, include:
  • CGI Inc.
  • Change Healthcare
  • Conduent Inc.
  • Cotiviti Inc.
  • DXC Technology Company
  • ExlService Holdings Inc.
  • Fair Isaac Corporation
  • FraudLens Inc.
  • H20.ai
  • HCL Technologies Limited
  • International Business Machines Corporation
  • Northrop Grumman Corporation
  • Optum Inc.
  • OSP Labs
  • SAS Institute Inc.
  • Wipro Ltd.

Methodology

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Table Information