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Healthcare Fraud Analytics Market by Solution Type, Delivery Model, Application, End-User - Global Forecast 2025-2030- Product Image
Healthcare Fraud Analytics Market by Solution Type, Delivery Model, Application, End-User - Global Forecast 2025-2030- Product Image
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Healthcare Fraud Analytics Market by Solution Type, Delivery Model, Application, End-User - Global Forecast 2025-2030

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    Report

  • 193 Pages
  • October 2024
  • Region: Global
  • 360iResearch™
  • ID: 5532716
UP TO OFF until Dec 31st 2024
1h Free Analyst Time
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The Healthcare Fraud Analytics Market grew from USD 6.92 billion in 2023 to USD 8.18 billion in 2024. It is expected to continue growing at a CAGR of 19.61%, reaching USD 24.27 billion by 2030.

Healthcare fraud analytics refer to the use of advanced data analysis techniques, including machine learning and predictive modeling, to detect, prevent, and mitigate fraudulent activities within the healthcare industry. The need for such analytics is driven by the increasing complexity of healthcare operations, rising incidences of fraud, and the financial strain placed on healthcare systems globally. These analytics are applied to scrutinize huge volumes of healthcare claims, payments, and medical records to identify suspicious behaviors, fraudulent claims, and inefficiencies within healthcare systems. The end-use scope of healthcare fraud analytics spans insurance companies, government bodies, healthcare providers, and regulatory agencies, aiming to enhance operational efficiency and reduce fraud-related losses.

Market insights reveal that the growth of healthcare fraud analytics is driven by the escalating costs associated with healthcare fraud, technological advancements in data analytics, and increased regulatory scrutiny. The drive towards digitization in healthcare presents significant growth opportunities, with the integration of artificial intelligence and machine learning technologies being pivotal. However, challenges such as data privacy concerns, high implementation costs, and a shortage of skilled professionals hinder market growth. The rapidly evolving regulatory landscape also poses limits, necessitating frequent updates to analytic solutions to ensure compliance.

Opportunities abound in the area of personalized fraud detection systems and real-time analytics, which offer the potential for significant advancements in early fraud detection and prevention. Companies can innovate by focusing on developing user-friendly analytic tools that enhance existing healthcare IT systems, ensuring seamless integration and scalability. Additionally, collaborations with government bodies for enhanced data access and process streamlining can provide significant competitive advantages. Therefore, strategic investments in R&D and partnerships aimed at enriching the analytics capabilities and expanding the scope of their applications can facilitate robust market positioning. The market is dynamic and competitive, with a keen focus on technological adaptation and regulatory alignment to drive sustainable growth.

Understanding Market Dynamics in the Healthcare Fraud Analytics Market

The Healthcare Fraud Analytics 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
    • Increasing number of fraudulent activities in the healthcare sector
    • Growing adoption of health insurance plans across the globe
    • Rising need to track fraud & abuse efficiently in healthcare domain
  • Market Restraints
    • High cost associated with healthcare fraud analytics services
  • Market Opportunities
    • Introduction of healthcare BPO and fraud identity management software
    • Integration of advanced analytics, artificial intelligence (AI) and, machine learning (ML) in healthcare fraud analytics software
  • Market Challenges
    • Limitations pertaining to the use of healthcare fraud analytics software and services

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

Porter’s Five Forces framework further strengthens the insights of the Healthcare Fraud Analytics 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 Analytics Market

External macro-environmental factors deeply influence the performance of the Healthcare Fraud Analytics 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 Analytics Market

The Healthcare Fraud Analytics 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 Analytics Market

The Healthcare Fraud Analytics 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 Analytics Market

The Healthcare Fraud Analytics 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 Analytics Market, highlighting leading vendors and their innovative profiles. These include Atos SE, CGI Inc., Change Healthcare Inc., Claroty Ltd., Codoxo, Inc., Conduent, Inc., Coviti, Inc., DXC Technology Company, ExlService Holdings, Inc., Fair Isaac Corporation, Fortified Health Security, FraudLens Inc., FRISS, H2O.ai, Inc., HCL Technologies Ltd., Healthcare fraud Shield, Hewlett Packard Enterprise Development LP, Imperva, Inc., Intel Corporation, International Business Machines Corporation, LexisNexis Risk Solutions Group, Mckesson Corporation, Multuplan Corporaton, Northrop Grumman Corporation, OneSpan Inc., OSP Labs, Pondera Solutions, Qlarant Inc., RELX Group Plc, SAS Institute Inc., Sharecare, Inc., United Health Group Incorporated, and Wipro Limited.

Market Segmentation & Coverage

This research report categorizes the Healthcare Fraud Analytics Market to forecast the revenues and analyze trends in each of the following sub-markets:
  • Solution Type
    • Descriptive Analytics
    • Predictive Analytics
    • Prescriptive Analytics
  • Delivery Model
    • On-Demand
    • On-Premise
  • Application
    • Insurance Claims Review
      • Post payment Review
      • Prepayment Review
    • Payment Integrity
    • Pharmacy Billing Misuse
  • End-User
    • Employers
    • Private Insurance Payers
    • Public & Government Agencies
    • Third-party service providers
  • 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. Increasing number of fraudulent activities in the healthcare sector
5.1.1.2. Growing adoption of health insurance plans across the globe
5.1.1.3. Rising need to track fraud & abuse efficiently in healthcare domain
5.1.2. Restraints
5.1.2.1. High cost associated with healthcare fraud analytics services
5.1.3. Opportunities
5.1.3.1. Introduction of healthcare BPO and fraud identity management software
5.1.3.2. Integration of advanced analytics, artificial intelligence (AI) and, machine learning (ML) in healthcare fraud analytics software
5.1.4. Challenges
5.1.4.1. Limitations pertaining to the use of healthcare fraud analytics software and services
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 Analytics Market, by Solution Type
6.1. Introduction
6.2. Descriptive Analytics
6.3. Predictive Analytics
6.4. Prescriptive Analytics
7. Healthcare Fraud Analytics Market, by Delivery Model
7.1. Introduction
7.2. On-Demand
7.3. On-Premise
8. Healthcare Fraud Analytics Market, by Application
8.1. Introduction
8.2. Insurance Claims Review
8.2.1. Post payment Review
8.2.2. Prepayment Review
8.3. Payment Integrity
8.4. Pharmacy Billing Misuse
9. Healthcare Fraud Analytics Market, by End-User
9.1. Introduction
9.2. Employers
9.3. Private Insurance Payers
9.4. Public & Government Agencies
9.5. Third-party service providers
10. Americas Healthcare Fraud Analytics 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 Analytics 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 Analytics 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
13.3.1. Huize Announces Strategic Partnership with Ping An Health Insurance and the Joint Launch of “Chang Xiang An” - A Customized Long-term Medical Insurance Product
13.3.2. ACKO Acquires Digital Health Platform Parentlane To Expand Beyond Core Insurance Offerings
13.3.3. Amazon completes $3.9B acquisition of One Medical
13.3.4. Paul Merchants partners with Care Health Insurance
13.3.5. Reliance General Insurance partners with Paytm to offer customisable health policy
13.3.6. Healthcos Are Accumulating Patents Aggressively In Electronic Records And Personalized Medicine
13.3.7. SBI General Insurance launches new health insurance vertical
13.3.8. Health insurance startup ClaimBuddy raises $3 million in funding
13.3.9. AI-Powered Dental Insurance Fraud, Waste and Abuse Detection AI System
13.4. Strategy Analysis & Recommendation
List of Figures
FIGURE 1. HEALTHCARE FRAUD ANALYTICS MARKET RESEARCH PROCESS
FIGURE 2. HEALTHCARE FRAUD ANALYTICS MARKET SIZE, 2023 VS 2030
FIGURE 3. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, 2018-2030 (USD MILLION)
FIGURE 4. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY REGION, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 5. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 6. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY SOLUTION TYPE, 2023 VS 2030 (%)
FIGURE 7. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY SOLUTION TYPE, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 8. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY DELIVERY MODEL, 2023 VS 2030 (%)
FIGURE 9. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY DELIVERY MODEL, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 10. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY APPLICATION, 2023 VS 2030 (%)
FIGURE 11. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY APPLICATION, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 12. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY END-USER, 2023 VS 2030 (%)
FIGURE 13. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY END-USER, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 14. AMERICAS HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
FIGURE 15. AMERICAS HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 16. UNITED STATES HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY STATE, 2023 VS 2030 (%)
FIGURE 17. UNITED STATES HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY STATE, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 18. ASIA-PACIFIC HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
FIGURE 19. ASIA-PACIFIC HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 20. EUROPE, MIDDLE EAST & AFRICA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
FIGURE 21. EUROPE, MIDDLE EAST & AFRICA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 22. HEALTHCARE FRAUD ANALYTICS MARKET SHARE, BY KEY PLAYER, 2023
FIGURE 23. HEALTHCARE FRAUD ANALYTICS MARKET, FPNV POSITIONING MATRIX, 2023
List of Tables
TABLE 1. HEALTHCARE FRAUD ANALYTICS MARKET SEGMENTATION & COVERAGE
TABLE 2. UNITED STATES DOLLAR EXCHANGE RATE, 2018-2023
TABLE 3. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, 2018-2030 (USD MILLION)
TABLE 4. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY REGION, 2018-2030 (USD MILLION)
TABLE 5. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
TABLE 6. HEALTHCARE FRAUD ANALYTICS MARKET DYNAMICS
TABLE 7. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY SOLUTION TYPE, 2018-2030 (USD MILLION)
TABLE 8. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY DESCRIPTIVE ANALYTICS, BY REGION, 2018-2030 (USD MILLION)
TABLE 9. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY PREDICTIVE ANALYTICS, BY REGION, 2018-2030 (USD MILLION)
TABLE 10. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY PRESCRIPTIVE ANALYTICS, BY REGION, 2018-2030 (USD MILLION)
TABLE 11. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY DELIVERY MODEL, 2018-2030 (USD MILLION)
TABLE 12. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY ON-DEMAND, BY REGION, 2018-2030 (USD MILLION)
TABLE 13. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY ON-PREMISE, BY REGION, 2018-2030 (USD MILLION)
TABLE 14. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 15. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY INSURANCE CLAIMS REVIEW, BY REGION, 2018-2030 (USD MILLION)
TABLE 16. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY POST PAYMENT REVIEW, BY REGION, 2018-2030 (USD MILLION)
TABLE 17. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY PREPAYMENT REVIEW, BY REGION, 2018-2030 (USD MILLION)
TABLE 18. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY INSURANCE CLAIMS REVIEW, 2018-2030 (USD MILLION)
TABLE 19. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY PAYMENT INTEGRITY, BY REGION, 2018-2030 (USD MILLION)
TABLE 20. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY PHARMACY BILLING MISUSE, BY REGION, 2018-2030 (USD MILLION)
TABLE 21. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
TABLE 22. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY EMPLOYERS, BY REGION, 2018-2030 (USD MILLION)
TABLE 23. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY PRIVATE INSURANCE PAYERS, BY REGION, 2018-2030 (USD MILLION)
TABLE 24. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY PUBLIC & GOVERNMENT AGENCIES, BY REGION, 2018-2030 (USD MILLION)
TABLE 25. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY THIRD-PARTY SERVICE PROVIDERS, BY REGION, 2018-2030 (USD MILLION)
TABLE 26. AMERICAS HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY SOLUTION TYPE, 2018-2030 (USD MILLION)
TABLE 27. AMERICAS HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY DELIVERY MODEL, 2018-2030 (USD MILLION)
TABLE 28. AMERICAS HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 29. AMERICAS HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY INSURANCE CLAIMS REVIEW, 2018-2030 (USD MILLION)
TABLE 30. AMERICAS HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
TABLE 31. AMERICAS HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
TABLE 32. ARGENTINA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY SOLUTION TYPE, 2018-2030 (USD MILLION)
TABLE 33. ARGENTINA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY DELIVERY MODEL, 2018-2030 (USD MILLION)
TABLE 34. ARGENTINA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 35. ARGENTINA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY INSURANCE CLAIMS REVIEW, 2018-2030 (USD MILLION)
TABLE 36. ARGENTINA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
TABLE 37. BRAZIL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY SOLUTION TYPE, 2018-2030 (USD MILLION)
TABLE 38. BRAZIL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY DELIVERY MODEL, 2018-2030 (USD MILLION)
TABLE 39. BRAZIL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 40. BRAZIL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY INSURANCE CLAIMS REVIEW, 2018-2030 (USD MILLION)
TABLE 41. BRAZIL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
TABLE 42. CANADA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY SOLUTION TYPE, 2018-2030 (USD MILLION)
TABLE 43. CANADA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY DELIVERY MODEL, 2018-2030 (USD MILLION)
TABLE 44. CANADA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 45. CANADA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY INSURANCE CLAIMS REVIEW, 2018-2030 (USD MILLION)
TABLE 46. CANADA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
TABLE 47. MEXICO HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY SOLUTION TYPE, 2018-2030 (USD MILLION)
TABLE 48. MEXICO HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY DELIVERY MODEL, 2018-2030 (USD MILLION)
TABLE 49. MEXICO HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 50. MEXICO HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY INSURANCE CLAIMS REVIEW, 2018-2030 (USD MILLION)
TABLE 51. MEXICO HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
TABLE 52. UNITED STATES HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY SOLUTION TYPE, 2018-2030 (USD MILLION)
TABLE 53. UNITED STATES HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY DELIVERY MODEL, 2018-2030 (USD MILLION)
TABLE 54. UNITED STATES HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 55. UNITED STATES HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY INSURANCE CLAIMS REVIEW, 2018-2030 (USD MILLION)
TABLE 56. UNITED STATES HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
TABLE 57. UNITED STATES HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY STATE, 2018-2030 (USD MILLION)
TABLE 58. ASIA-PACIFIC HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY SOLUTION TYPE, 2018-2030 (USD MILLION)
TABLE 59. ASIA-PACIFIC HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY DELIVERY MODEL, 2018-2030 (USD MILLION)
TABLE 60. ASIA-PACIFIC HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 61. ASIA-PACIFIC HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY INSURANCE CLAIMS REVIEW, 2018-2030 (USD MILLION)
TABLE 62. ASIA-PACIFIC HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
TABLE 63. ASIA-PACIFIC HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
TABLE 64. AUSTRALIA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY SOLUTION TYPE, 2018-2030 (USD MILLION)
TABLE 65. AUSTRALIA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY DELIVERY MODEL, 2018-2030 (USD MILLION)
TABLE 66. AUSTRALIA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 67. AUSTRALIA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY INSURANCE CLAIMS REVIEW, 2018-2030 (USD MILLION)
TABLE 68. AUSTRALIA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
TABLE 69. CHINA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY SOLUTION TYPE, 2018-2030 (USD MILLION)
TABLE 70. CHINA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY DELIVERY MODEL, 2018-2030 (USD MILLION)
TABLE 71. CHINA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 72. CHINA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY INSURANCE CLAIMS REVIEW, 2018-2030 (USD MILLION)
TABLE 73. CHINA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
TABLE 74. INDIA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY SOLUTION TYPE, 2018-2030 (USD MILLION)
TABLE 75. INDIA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY DELIVERY MODEL, 2018-2030 (USD MILLION)
TABLE 76. INDIA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 77. INDIA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY INSURANCE CLAIMS REVIEW, 2018-2030 (USD MILLION)
TABLE 78. INDIA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
TABLE 79. INDONESIA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY SOLUTION TYPE, 2018-2030 (USD MILLION)
TABLE 80. INDONESIA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY DELIVERY MODEL, 2018-2030 (USD MILLION)
TABLE 81. INDONESIA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 82. INDONESIA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY INSURANCE CLAIMS REVIEW, 2018-2030 (USD MILLION)
TABLE 83. INDONESIA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
TABLE 84. JAPAN HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY SOLUTION TYPE, 2018-2030 (USD MILLION)
TABLE 85. JAPAN HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY DELIVERY MODEL, 2018-2030 (USD MILLION)
TABLE 86. JAPAN HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 87. JAPAN HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY INSURANCE CLAIMS REVIEW, 2018-2030 (USD MILLION)
TABLE 88. JAPAN HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
TABLE 89. MALAYSIA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY SOLUTION TYPE, 2018-2030 (USD MILLION)
TABLE 90. MALAYSIA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY DELIVERY MODEL, 2018-2030 (USD MILLION)
TABLE 91. MALAYSIA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 92. MALAYSIA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY INSURANCE CLAIMS REVIEW, 2018-2030 (USD MILLION)
TABLE 93. MALAYSIA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
TABLE 94. PHILIPPINES HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY SOLUTION TYPE, 2018-2030 (USD MILLION)
TABLE 95. PHILIPPINES HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY DELIVERY MODEL, 2018-2030 (USD MILLION)
TABLE 96. PHILIPPINES HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 97. PHILIPPINES HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY INSURANCE CLAIMS REVIEW, 2018-2030 (USD MILLION)
TABLE 98. PHILIPPINES HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
TABLE 99. SINGAPORE HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY SOLUTION TYPE, 2018-2030 (USD MILLION)
TABLE 100. SINGAPORE HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY DELIVERY MODEL, 2018-2030 (USD MILLION)
TABLE 101. SINGAPORE HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 102. SINGAPORE HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY INSURANCE CLAIMS REVIEW, 2018-2030 (USD MILLION)
TABLE 103. SINGAPORE HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
TABLE 104. SOUTH KOREA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY SOLUTION TYPE, 2018-2030 (USD MILLION)
TABLE 105. SOUTH KOREA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY DELIVERY MODEL, 2018-2030 (USD MILLION)
TABLE 106. SOUTH KOREA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 107. SOUTH KOREA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY INSURANCE CLAIMS REVIEW, 2018-2030 (USD MILLION)
TABLE 108. SOUTH KOREA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
TABLE 109. TAIWAN HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY SOLUTION TYPE, 2018-2030 (USD MILLION)
TABLE 110. TAIWAN HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY DELIVERY MODEL, 2018-2030 (USD MILLION)
TABLE 111. TAIWAN HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 112. TAIWAN HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY INSURANCE CLAIMS REVIEW, 2018-2030 (USD MILLION)
TABLE 113. TAIWAN HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
TABLE 114. THAILAND HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY SOLUTION TYPE, 2018-2030 (USD MILLION)
TABLE 115. THAILAND HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY DELIVERY MODEL, 2018-2030 (USD MILLION)
TABLE 116. THAILAND HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 117. THAILAND HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY INSURANCE CLAIMS REVIEW, 2018-2030 (USD MILLION)
TABLE 118. THAILAND HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
TABLE 119. VIETNAM HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY SOLUTION TYPE, 2018-2030 (USD MILLION)
TABLE 120. VIETNAM HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY DELIVERY MODEL, 2018-2030 (USD MILLION)
TABLE 121. VIETNAM HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 122. VIETNAM HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY INSURANCE CLAIMS REVIEW, 2018-2030 (USD MILLION)
TABLE 123. VIETNAM HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
TABLE 124. EUROPE, MIDDLE EAST & AFRICA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY SOLUTION TYPE, 2018-2030 (USD MILLION)
TABLE 125. EUROPE, MIDDLE EAST & AFRICA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY DELIVERY MODEL, 2018-2030 (USD MILLION)
TABLE 126. EUROPE, MIDDLE EAST & AFRICA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 127. EUROPE, MIDDLE EAST & AFRICA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY INSURANCE CLAIMS REVIEW, 2018-2030 (USD MILLION)
TABLE 128. EUROPE, MIDDLE EAST & AFRICA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
TABLE 129. EUROPE, MIDDLE EAST & AFRICA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
TABLE 130. DENMARK HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY SOLUTION TYPE, 2018-2030 (USD MILLION)
TABLE 131. DENMARK HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY DELIVERY MODEL, 2018-2030 (USD MILLION)
TABLE 132. DENMARK HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 133. DENMARK HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY INSURANCE CLAIMS REVIEW, 2018-2030 (USD MILLION)
TABLE 134. DENMARK HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
TABLE 135. EGYPT HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY SOLUTION TYPE, 2018-2030 (USD MILLION)
TABLE 136. EGYPT HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY DELIVERY MODEL, 2018-2030 (USD MILLION)
TABLE 137. EGYPT HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 138. EGYPT HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY INSURANCE CLAIMS REVIEW, 2018-2030 (USD MILLION)
TABLE 139. EGYPT HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
TABLE 140. FINLAND HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY SOLUTION TYPE, 2018-2030 (USD MILLION)
TABLE 141. FINLAND HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY DELIVERY MODEL, 2018-2030 (USD MILLION)
TABLE 142. FINLAND HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 143. FINLAND HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY INSURANCE CLAIMS REVIEW, 2018-2030 (USD MILLION)
TABLE 144. FINLAND HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
TABLE 145. FRANCE HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY SOLUTION TYPE, 2018-2030 (USD MILLION)
TABLE 146. FRANCE HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY DELIVERY MODEL, 2018-2030 (USD MILLION)
TABLE 147. FRANCE HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 148. FRANCE HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY INSURANCE CLAIMS REVIEW, 2018-2030 (USD MILLION)
TABLE 149. FRANCE HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
TABLE 150. GERMANY HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY SOLUTION TYPE, 2018-2030 (USD MILLION)
TABLE 151. GERMANY HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY DELIVERY MODEL, 2018-2030 (USD MILLION)
TABLE 152. GERMANY HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 153. GERMANY HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY INSURANCE CLAIMS REVIEW, 2018-2030 (USD MILLION)
TABLE 154. GERMANY HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
TABLE 155. ISRAEL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY SOLUTION TYPE, 2018-2030 (USD MILLION)
TABLE 156. ISRAEL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY DELIVERY MODEL, 2018-2030 (USD MILLION)
TABLE 157. ISRAEL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 158. ISRAEL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY INSURANCE CLAIMS REVIEW, 2018-2030 (USD MILLION)
TABLE 159. ISRAEL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
TABLE 160. ITALY HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY SOLUTION TYPE, 2018-2030 (USD MILLION)
TABLE 161. ITALY HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY DELIVERY MODEL, 2018-2030 (USD MILLION)
TABLE 162. ITALY HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 163. ITALY HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY INSURANCE CLAIMS REVIEW, 2018-2030 (USD MILLION)
TABLE 164. ITALY HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
TABLE 165. NETHERLANDS HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY SOLUTION TYPE, 2018-2030 (USD MILLION)
TABLE 166. NETHERLANDS HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY DELIVERY MODEL, 2018-2030 (USD MILLION)
TABLE 167. NETHERLANDS HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 168. NETHERLANDS HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY INSURANCE CLAIMS REVIEW, 2018-2030 (USD MILLION)
TABLE 169. NETHERLANDS HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
TABLE 170. NIGERIA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY SOLUTION TYPE, 2018-2030 (USD MILLION)
TABLE 171. NIGERIA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY DELIVERY MODEL, 2018-2030 (USD MILLION)
TABLE 172. NIGERIA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 173. NIGERIA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY INSURANCE CLAIMS REVIEW, 2018-2030 (USD MILLION)
TABLE 174. NIGERIA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
TABLE 175. NORWAY HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY SOLUTION TYPE, 2018-2030 (USD MILLION)
TABLE 176. NORWAY HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY DELIVERY MODEL, 2018-2030 (USD MILLION)
TABLE 177. NORWAY HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 178. NORWAY HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY INSURANCE CLAIMS REVIEW, 2018-2030 (USD MILLION)
TABLE 179. NORWAY HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
TABLE 180. POLAND HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY SOLUTION TYPE, 2018-2030 (USD MILLION)
TABLE 181. POLAND HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY DELIVERY MODEL, 2018-2030 (USD MILLION)
TABLE 182. POLAND HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 183. POLAND HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY INSURANCE CLAIMS REVIEW, 2018-2030 (USD MILLION)
TABLE 184. POLAND HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
TABLE 185. QATAR HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY SOLUTION TYPE, 2018-2030 (USD MILLION)
TABLE 186. QATAR HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY DELIVERY MODEL, 2018-2030 (USD MILLION)
TABLE 187. QATAR HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 188. QATAR HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY INSURANCE CLAIMS REVIEW, 2018-2030 (USD MILLION)
TABLE 189. QATAR HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
TABLE 190. RUSSIA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY SOLUTION TYPE, 2018-2030 (USD MILLION)
TABLE 191. RUSSIA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY DELIVERY MODEL, 2018-2030 (USD MILLION)
TABLE 192. RUSSIA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 193. RUSSIA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY INSURANCE CLAIMS REVIEW, 2018-2030 (USD MILLION)
TABLE 194. RUSSIA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
TABLE 195. SAUDI ARABIA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY SOLUTION TYPE, 2018-2030 (USD MILLION)
TABLE 196. SAUDI ARABIA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY DELIVERY MODEL, 2018-2030 (USD MILLION)
TABLE 197. SAUDI ARABIA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 198. SAUDI ARABIA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY INSURANCE CLAIMS REVIEW, 2018-2030 (USD MILLION)
TABLE 199. SAUDI ARABIA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
TABLE 200. SOUTH AFRICA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY SOLUTION TYPE, 2018-2030 (USD MILLION)
TABLE 201. SOUTH AFRICA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY DELIVERY MODEL, 2018-2030 (USD MILLION)
TABLE 202. SOUTH AFRICA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 203. SOUTH AFRICA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY INSURANCE CLAIMS REVIEW, 2018-2030 (USD MILLION)
TABLE 204. SOUTH AFRICA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
TABLE 205. SPAIN HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY SOLUTION TYPE, 2018-2030 (USD MILLION)
TABLE 206. SPAIN HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY DELIVERY MODEL, 2018-2030 (USD MILLION)
TABLE 207. SPAIN HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 208. SPAIN HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY INSURANCE CLAIMS REVIEW, 2018-2030 (USD MILLION)
TABLE 209. SPAIN HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
TABLE 210. SWEDEN HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY SOLUTION TYPE, 2018-2030 (USD MILLION)
TABLE 211. SWEDEN HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY DELIVERY MODEL, 2018-2030 (USD MILLION)
TABLE 212. SWEDEN HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 213. SWEDEN HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY INSURANCE CLAIMS REVIEW, 2018-2030 (USD MILLION)
TABLE 214. SWEDEN HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
TABLE 215. SWITZERLAND HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY SOLUTION TYPE, 2018-2030 (USD MILLION)
TABLE 216. SWITZERLAND HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY DELIVERY MODEL, 2018-2030 (USD MILLION)
TABLE 217. SWITZERLAND HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 218. SWITZERLAND HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY INSURANCE CLAIMS REVIEW, 2018-2030 (USD MILLION)
TABLE 219. SWITZERLAND HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
TABLE 220. TURKEY HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY SOLUTION TYPE, 2018-2030 (USD MILLION)
TABLE 221. TURKEY HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY DELIVERY MODEL, 2018-2030 (USD MILLION)
TABLE 222. TURKEY HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 223. TURKEY HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY INSURANCE CLAIMS REVIEW, 2018-2030 (USD MILLION)
TABLE 224. TURKEY HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
TABLE 225. UNITED ARAB EMIRATES HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY SOLUTION TYPE, 2018-2030 (USD MILLION)
TABLE 226. UNITED ARAB EMIRATES HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY DELIVERY MODEL, 2018-2030 (USD MILLION)
TABLE 227. UNITED ARAB EMIRATES HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 228. UNITED ARAB EMIRATES HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY INSURANCE CLAIMS REVIEW, 2018-2030 (USD MILLION)
TABLE 229. UNITED ARAB EMIRATES HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
TABLE 230. UNITED KINGDOM HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY SOLUTION TYPE, 2018-2030 (USD MILLION)
TABLE 231. UNITED KINGDOM HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY DELIVERY MODEL, 2018-2030 (USD MILLION)
TABLE 232. UNITED KINGDOM HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 233. UNITED KINGDOM HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY INSURANCE CLAIMS REVIEW, 2018-2030 (USD MILLION)
TABLE 234. UNITED KINGDOM HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
TABLE 235. HEALTHCARE FRAUD ANALYTICS MARKET SHARE, BY KEY PLAYER, 2023
TABLE 236. HEALTHCARE FRAUD ANALYTICS MARKET, FPNV POSITIONING MATRIX, 2023

Companies Mentioned

The leading players in the Healthcare Fraud Analytics Market, which are profiled in this report, include:
  • Atos SE
  • CGI Inc.
  • Change Healthcare Inc.
  • Claroty Ltd.
  • Codoxo, Inc.
  • Conduent, Inc.
  • Coviti, Inc.
  • DXC Technology Company
  • ExlService Holdings, Inc.
  • Fair Isaac Corporation
  • Fortified Health Security
  • FraudLens Inc.
  • FRISS
  • H2O.ai, Inc.
  • HCL Technologies Ltd.
  • Healthcare fraud Shield
  • Hewlett Packard Enterprise Development LP
  • Imperva, Inc.
  • Intel Corporation
  • International Business Machines Corporation
  • LexisNexis Risk Solutions Group
  • Mckesson Corporation
  • Multuplan Corporaton
  • Northrop Grumman Corporation
  • OneSpan Inc.
  • OSP Labs
  • Pondera Solutions
  • Qlarant Inc.
  • RELX Group Plc
  • SAS Institute Inc.
  • Sharecare, Inc.
  • United Health Group Incorporated
  • Wipro Limited

Methodology

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Table Information

Report AttributeDetails
No. of Pages193
PublishedOctober 2024
Forecast Period2024 - 2030
Estimated Market Value ( USD ) in 2024 $ 8.18 Billion
Forecasted Market Value ( USD ) by 2030 $ 24.27 Billion
Compound Annual Growth Rate19.6%
Regions CoveredGlobal
No. of Companies Mentioned33

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About the Healthcare Fraud Analytics 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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