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市场调查报告书
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1650323

2025 年医疗保健诈欺分析全球市场报告

Healthcare Fraud Analytics Global Market Report 2025
出版日期: | 出版商: The Business Research Company | 英文 200 Pages | 商品交期: 2-10个工作天内

价格
简介目录

预计未来几年医疗保健诈欺分析市场将呈指数级增长。 2029 年将成长至 123.8 亿美元，年复合成长率（CAGR）为 27.6%。预测期内的成长可归因于诈欺计划的日益复杂化、预测分析的整合、不断变化的法规、全球大流行的影响以及加强的患者身份验证等。预测期内的主要趋势包括采用云端基础的分析、使用者友善介面、自动诈欺调查、即时诈欺检测和行为分析。

医疗保健领域诈欺活动的大幅增加正在推动医疗保健诈欺分析市场的成长。当医疗保健提供者、患者或第三方故意欺骗医疗保健系统或透过欺骗或虚假陈述获取非法优势时，就会发生诈欺。常见的诈欺活动包括回扣、不当发票、对未提供的服务收费以及其他欺骗行为。例如，2023 年 12 月，美国卫生与公众服务部 (HHS) 报告称，医疗保健诈骗调查已共追回超过 17.2 亿美元，其中约 12 亿美元返还给医疗保险信託基金。此外，司法部 (DOJ) 指出，根据《诈欺索赔法》达成的和解和判决金额将在 2023 财年超过 26.8 亿美元，凸显了其对诈欺活动的强有力执法反应。这些统计数据凸显了医疗保健诈欺造成的巨大经济影响，据估计，医疗保健诈欺每年造成数十亿美元的损失，有估计认为损失高达年度医疗保健支出的 10%。因此，医疗保健诈欺的增加对医疗保健诈欺分析市场的成长做出了巨大贡献。

医疗保健支出的增加预计将推动医疗保健诈欺分析市场的成长。医疗卫生支出是指一定时期内用于医疗卫生服务和相关活动的货币和非货币资源总量。医疗保健组织和付款人正在投资先进的诈欺分析解决方案来保护他们的财务资源。例如，2022年10月，英国风险管理、保险经纪和顾问公司Willis Towers Watson Public Limited Company表示，医疗保健福利成本预计将从2021年的8.2％增加到2022年的8.8％，然后在2023年再次增长到10％的全球平均水平。因此，医疗保健支出的增加正在推动医疗保健诈欺分析市场的成长。

目录

第一章执行摘要

第二章 市场特征

第三章 市场趋势与策略

第四章 市场 - 宏观经济情景，包括利率、通膨、地缘政治、新冠疫情和復苏对市场的影响

第五章 全球成长分析与策略分析框架

  • 全球医疗保健诈欺分析 PESTEL 分析（政治、社会、技术、环境、法律、驱动因素、限制因素）
  • 最终用途产业分析
  • 全球医疗保健诈欺分析市场增长率分析
  • 全球医疗保健诈欺分析市场表现：规模与成长，2019 年至 2024 年
  • 全球医疗保健诈欺分析市场预测：规模与成长，2024-2029 年，2034 年
  • 全球医疗保健诈欺分析总目标市场 (TAM)

第六章 市场细分

  • 全球医疗保健诈欺分析市场按解决方案类型、绩效和预测，2019-2024 年、2024-2029 年、2034 年
  • 说明分析
  • 预测分析
  • 指示性分析
  • 全球医疗保健诈欺分析市场：按提供模型、绩效和预测，2019-2024 年、2024-2029 年、2034 年
  • 本地
  • 一经请求
  • 全球医疗保健诈欺分析市场：按应用、绩效和预测，2019-2024 年、2024-2029 年、2034 年
  • 保险理赔审查
  • 稍后付款审核
  • 预付款审核
  • 药房帐单诈欺
  • 付款诚信
  • 其他用途
  • 全球医疗保健诈欺分析市场：说明分析细分、按类型、实际和预测，2019-2024 年、2024-2029F、2034F
  • 资料聚合
  • 报告工具
  • 视觉化技术
  • 全球医疗保健诈欺分析市场：预测分析细分市场、类型、实际和预测，2019-2024 年、2024-2029 年、2034 年
  • 风险评估模型
  • 趋势分析
  • 异常检测
  • 全球医疗保健诈欺分析市场：指示性分析细分、类型、绩效和预测，2019-2024 年、2024-2029 年、2034 年
  • 推荐引擎
  • 模拟模型
  • 资源分配工具

第七章 区域和国家分析

  • 全球医疗保健诈欺分析市场：按地区、表现和预测，2019-2024 年、2024-2029 年、2034 年
  • 全球医疗保健诈欺分析市场：按国家/地区、表现和预测，2019-2024 年、2024-2029 年、2034 年

第八章 亚太市场

第九章：中国市场

第十章 印度市场

第十一章 日本市场

第十二章 澳洲市场

第十三章 印尼市场

第十四章 韩国市场

第十五章 西欧市场

第十六章英国市场

第 17 章 德国市场

第 18 章 法国市场

第 19 章：义大利市场

第 20 章：西班牙市场

第21章 东欧市场

第22章 俄罗斯市场

第23章 北美市场

第24章美国市场

第 25 章：加拿大市场

第26章 南美洲市场

第 27 章：巴西市场

第28章 中东市场

第 29 章：非洲市场

第 30 章竞争格局与公司概况

  • 医疗保健诈欺分析市场：竞争格局
  • 医疗保健诈欺分析市场：公司简介
    • International Business Machines Corporation Overview, Products and Services, Strategy and Financial Analysis
    • Optum Inc. Overview, Products and Services, Strategy and Financial Analysis
    • Statistical Analysis Software Institute Inc. Overview, Products and Services, Strategy and Financial Analysis
    • Change Healthcare Overview, Products and Services, Strategy and Financial Analysis
    • EXL Service Holdings Inc. Overview, Products and Services, Strategy and Financial Analysis

第31章 其他大型创新企业

  • Cotiviti Inc.
  • DXC Technology Company
  • Wipro Limited
  • Conduent Incorporated
  • HCL Technologies Limited
  • Qlarant Inc.
  • LEXIS-NEXIS Group
  • Healthcare Fraud Shield
  • FraudLens Inc.
  • HMS Holding Corp.
  • Codoxo
  • H20. ai
  • Pondera Solutions Inc.
  • Friss International BV
  • MultiPlan Inc.

第 32 章 全球竞争基准化分析与仪錶板

第33章 重大併购

第 34 章 近期市场趋势

第 35 章 高市场潜力国家、细分市场与策略

  • 2029 年医疗保健诈欺分析市场 - 提供最多新机会的国家
  • 2029 年医疗保健诈欺分析市场 - 提供最新兴机会的细分市场
  • 医疗保健诈欺分析市场 2029-成长策略
    • 基于市场趋势的策略
    • 竞争对手的策略

第 36 章 附录

简介目录
Product Code: r21578

Healthcare fraud analytics refers to on-premise and on-demand analytical solutions that assist in identifying issues such as duplication/repetition of claims and errors in claim healthcare operations and applications. Healthcare fraud analytics aims to help healthcare companies to audit their accounts and find out fraudulent activities in various transactions. It identifies frauds related to billings, claims, prepayment, post payments, and payment integrity.

The main type of solutions in healthcare fraud analytics are descriptive analytics, predictive analytics, prescriptive analytics. Descriptive analytics is a process of using current and historical data to identify trends and relationships. Healthcare fraud analytic solutions are deployed on-premise and on-demand, and they are widely used for insurance claims review, postpayment review, prepayment review, pharmacy billing misuse, payment integrity, other applications. Healthcare fraud analytics are used by public & government agencies, private insurance payers, third-party service providers.

The healthcare fraud analytics market research report is one of a series of new reports from The Business Research Company that provides healthcare fraud analytics market statistics, including healthcare fraud analytics industry global market size, regional shares, competitors with a healthcare fraud analytics market share, detailed healthcare fraud analytics market segments, market trends and opportunities, and any further data you may need to thrive in the healthcare fraud analytics industry. This healthcare fraud analytics market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenarios of the industry.

The healthcare fraud analytics market size has grown exponentially in recent years. It will grow from $3.73 billion in 2024 to $4.67 billion in 2025 at a compound annual growth rate (CAGR) of 25.4%. The growth in the historic period can be attributed to rise in healthcare costs, complexity of healthcare systems, increasing volume of healthcare data, transition to electronic health records (EHRs), billing fraud challenges.

The healthcare fraud analytics market size is expected to see exponential growth in the next few years. It will grow to $12.38 billion in 2029 at a compound annual growth rate (CAGR) of 27.6%. The growth in the forecast period can be attributed to increasing sophistication of fraud schemes, integration of predictive analytics, regulatory evolution, global pandemic impact, enhanced patient identity verification. Major trends in the forecast period include adoption of cloud-based analytics, user-friendly interfaces, automation in fraud investigations, real-time fraud detection, behavioral analytics.

A significant rise in fraudulent activities within the healthcare sector is driving the growth of the healthcare fraud analytics market. Fraud can be perpetrated by medical providers, patients, and third parties who intentionally deceive the healthcare system to gain unlawful benefits through deception or misrepresentation. Common fraudulent practices include kickbacks, improper billing, billing for services not rendered, and other deceptive activities. For instance, in December 2023, the U.S. Department of Health and Human Services (HHS) reported that healthcare fraud investigations resulted in recoveries totaling over $1.72 billion, with about $1.2 billion being returned to the Medicare Trust Funds. Furthermore, the Department of Justice (DOJ) noted that in fiscal year 2023, settlements and judgments under the False Claims Act exceeded $2.68 billion, highlighting a robust enforcement response to fraudulent practices. These statistics underscore the substantial financial impact of healthcare fraud, which is estimated to cost the nation billions annually, with some estimates suggesting losses could reach as high as 10% of annual healthcare expenditures. Thus, the increasing prevalence of fraudulent activities in healthcare is significantly contributing to the growth of the healthcare fraud analytics market.

Increased healthcare expenditure is expected to propel the growth of the healthcare fraud analytics market. Healthcare expenditure refers to the total amount of resources, including financial and non-financial, spent on healthcare services and related activities within a specific period of time. Healthcare organizations and payers are investing in advanced fraud analytics solutions to protect their financial resources. For instance, in October 2022, according to the Willis Towers Watson Public Limited Company, a UK-based risk management, insurance brokerage, and advisory company, the healthcare benefit cost increased from 8. 2% in 2021 to 8. 8% in 2022 and is expected to grow again in 2023 to a high global average of 10%. Therefore, increased healthcare expenditure is driving the growth of the healthcare fraud analytics market.

Key players in the healthcare fraud analytics market are concentrating on investments to enhance their presence in the industry. The growing technological advancements in healthcare fraud analytics reflect an increasing allocation of financial resources towards sophisticated analytical tools and technologies designed to detect and prevent fraudulent activities within the sector. For example, in August 2024, MediBuddy, a digital healthcare company based in India, launched an innovative AI-powered fraud detection system called Sherlock. This system aims to combat healthcare fraud, particularly in the area of medical reimbursement claims. The advanced platform employs state-of-the-art artificial intelligence (AI) and machine learning (ML) technologies to identify and prevent fraudulent activities in real-time, thereby improving the integrity of the healthcare system.

Major players in the healthcare fraud analytics market are focusing on strategic partnership to protect customers. Strategic partnerships refer to a process in which companies leverage each other's strengths and resources to achieve mutual benefits and success. For instance, in May 2023, Mastercard, a New-York-based credit card company, partnered with HealthLock, a US-based comapny that provides medical fraud and overbilling protection solution. The collaboration between Mastercard and HealthLock will help safeguard consumers from healthcare fraud and billing errors by delivering a no-fee, core HealthLock breach alert and fraud remediation solution. This service will assist clients in detecting and correcting any fraudulent activity or billing problems on their healthcare bills.

In August 2024, Experian, an Ireland-based business services firm, acquired NeuroID for an undisclosed amount. This acquisition is intended to bolster Experian's identity verification and fraud prevention capabilities by incorporating NeuroID's behavioral analytics technology. This integration will provide deeper insights into consumer behavior and enhance the detection of fraudulent activities across digital interactions. NeuroID is a US-based software company specializing in healthcare fraud analytics.

Major companies operating in the healthcare fraud analytics market include International Business Machines Corporation, Optum Inc., Statistical Analysis Software Institute Inc., Change Healthcare, EXL Service Holdings Inc., Cotiviti Inc., DXC Technology Company, Wipro Limited, Conduent Incorporated, HCL Technologies Limited, Qlarant Inc., LEXIS-NEXIS Group, Healthcare Fraud Shield, FraudLens Inc., HMS Holding Corp., Codoxo, H20. ai, Pondera Solutions Inc., Friss International B. V., MultiPlan Inc., FraudScope, Osp Labs Private Limited, Fair Isaac Corporation, Relx Group PLC

North America was the largest region in the healthcare fraud analytics market in 2024. North America is expected to be the fastest-growing region in the forecast period. The regions covered in the healthcare fraud analytics market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa

The countries covered in the healthcare fraud analytics market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Italy, Canada, Spain.

The healthcare fraud analytics market includes revenues earned by entities by providing services such as fraud detection, predictive analytics, and Medicaid. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

Healthcare Fraud Analytics Global Market Report 2025 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses on healthcare fraud analytics market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

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Where is the largest and fastest growing market for healthcare fraud analytics ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward? The healthcare fraud analytics market global report from the Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

  • The market characteristics section of the report defines and explains the market.
  • The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
  • The forecasts are made after considering the major factors currently impacting the market. These include:

The forecasts are made after considering the major factors currently impacting the market. These include the Russia-Ukraine war, rising inflation, higher interest rates, and the legacy of the COVID-19 pandemic.

  • Market segmentations break down the market into sub markets.
  • The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth. It covers the growth trajectory of COVID-19 for all regions, key developed countries and major emerging markets.
  • The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
  • The trends and strategies section analyses the shape of the market as it emerges from the crisis and suggests how companies can grow as the market recovers.

Scope

  • Markets Covered:1) By Solution Type: Descriptive Analytics; Predictive Analytics; Prescriptive Analytics
  • 2) By Delivery Model: On-Premise; On-Demand
  • 3) By Application: Insurance Claims Review; Postpayment Review; Prepayment Review; Pharmacy Billing Misuse; Payment Integrity; Other Applications
  • Subsegments:
  • 1) By Descriptive Analytics: Data Aggregation; Reporting Tools; Visualization Techniques
  • 2) By Predictive Analytics: Risk Assessment Models; Trend analysis; Anomaly Detection
  • 3) By Prescriptive Analytics: Recommendation Engines; Simulation Models; Resource Allocation Tools
  • Companies Mentioned: International Business Machines Corporation; Optum Inc.; Statistical Analysis Software Institute Inc.; Change Healthcare; EXL Service Holdings Inc.
  • Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Russia; South Korea; UK; USA; Canada; Italy; Spain
  • Regions: Asia-Pacific; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
  • Time series: Five years historic and ten years forecast.
  • Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita,
  • Data segmentations: country and regional historic and forecast data, market share of competitors, market segments.
  • Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
  • Delivery format: PDF, Word and Excel Data Dashboard.

Table of Contents

1. Executive Summary

2. Healthcare Fraud Analytics Market Characteristics

3. Healthcare Fraud Analytics Market Trends And Strategies

4. Healthcare Fraud Analytics Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics And Covid And Recovery On The Market

5. Global Healthcare Fraud Analytics Growth Analysis And Strategic Analysis Framework

  • 5.1. Global Healthcare Fraud Analytics PESTEL Analysis (Political, Social, Technological, Environmental and Legal Factors, Drivers and Restraints)
  • 5.2. Analysis Of End Use Industries
  • 5.3. Global Healthcare Fraud Analytics Market Growth Rate Analysis
  • 5.4. Global Healthcare Fraud Analytics Historic Market Size and Growth, 2019 - 2024, Value ($ Billion)
  • 5.5. Global Healthcare Fraud Analytics Forecast Market Size and Growth, 2024 - 2029, 2034F, Value ($ Billion)
  • 5.6. Global Healthcare Fraud Analytics Total Addressable Market (TAM)

6. Healthcare Fraud Analytics Market Segmentation

  • 6.1. Global Healthcare Fraud Analytics Market, Segmentation By Solution Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Descriptive Analytics
  • Predictive Analytics
  • Prescriptive AnalyticS
  • 6.2. Global Healthcare Fraud Analytics Market, Segmentation By Delivery Model, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • On-Premise
  • On-Demand
  • 6.3. Global Healthcare Fraud Analytics Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Insurance Claims Review
  • Postpayment Review
  • Prepayment Review
  • Pharmacy Billing Misuse
  • Payment Integrity
  • Other Applications
  • 6.4. Global Healthcare Fraud Analytics Market, Sub-Segmentation Of Descriptive Analytics, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Data Aggregation
  • Reporting Tools
  • Visualization Techniques
  • 6.5. Global Healthcare Fraud Analytics Market, Sub-Segmentation Of Predictive Analytics, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Risk Assessment Models
  • Trend analysis
  • Anomaly Detection
  • 6.6. Global Healthcare Fraud Analytics Market, Sub-Segmentation Of Prescriptive Analytics, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Recommendation Engines
  • Simulation Models
  • Resource Allocation Tools

7. Healthcare Fraud Analytics Market Regional And Country Analysis

  • 7.1. Global Healthcare Fraud Analytics Market, Split By Region, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 7.2. Global Healthcare Fraud Analytics Market, Split By Country, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

8. Asia-Pacific Healthcare Fraud Analytics Market

  • 8.1. Asia-Pacific Healthcare Fraud Analytics Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 8.2. Asia-Pacific Healthcare Fraud Analytics Market, Segmentation By Solution Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 8.3. Asia-Pacific Healthcare Fraud Analytics Market, Segmentation By Delivery Model, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 8.4. Asia-Pacific Healthcare Fraud Analytics Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

9. China Healthcare Fraud Analytics Market

  • 9.1. China Healthcare Fraud Analytics Market Overview
  • 9.2. China Healthcare Fraud Analytics Market, Segmentation By Solution Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
  • 9.3. China Healthcare Fraud Analytics Market, Segmentation By Delivery Model, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
  • 9.4. China Healthcare Fraud Analytics Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion

10. India Healthcare Fraud Analytics Market

  • 10.1. India Healthcare Fraud Analytics Market, Segmentation By Solution Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 10.2. India Healthcare Fraud Analytics Market, Segmentation By Delivery Model, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 10.3. India Healthcare Fraud Analytics Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

11. Japan Healthcare Fraud Analytics Market

  • 11.1. Japan Healthcare Fraud Analytics Market Overview
  • 11.2. Japan Healthcare Fraud Analytics Market, Segmentation By Solution Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 11.3. Japan Healthcare Fraud Analytics Market, Segmentation By Delivery Model, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 11.4. Japan Healthcare Fraud Analytics Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

12. Australia Healthcare Fraud Analytics Market

  • 12.1. Australia Healthcare Fraud Analytics Market, Segmentation By Solution Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 12.2. Australia Healthcare Fraud Analytics Market, Segmentation By Delivery Model, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 12.3. Australia Healthcare Fraud Analytics Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

13. Indonesia Healthcare Fraud Analytics Market

  • 13.1. Indonesia Healthcare Fraud Analytics Market, Segmentation By Solution Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 13.2. Indonesia Healthcare Fraud Analytics Market, Segmentation By Delivery Model, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 13.3. Indonesia Healthcare Fraud Analytics Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

14. South Korea Healthcare Fraud Analytics Market

  • 14.1. South Korea Healthcare Fraud Analytics Market Overview
  • 14.2. South Korea Healthcare Fraud Analytics Market, Segmentation By Solution Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 14.3. South Korea Healthcare Fraud Analytics Market, Segmentation By Delivery Model, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 14.4. South Korea Healthcare Fraud Analytics Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

15. Western Europe Healthcare Fraud Analytics Market

  • 15.1. Western Europe Healthcare Fraud Analytics Market Overview
  • 15.2. Western Europe Healthcare Fraud Analytics Market, Segmentation By Solution Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 15.3. Western Europe Healthcare Fraud Analytics Market, Segmentation By Delivery Model, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 15.4. Western Europe Healthcare Fraud Analytics Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

16. UK Healthcare Fraud Analytics Market

  • 16.1. UK Healthcare Fraud Analytics Market, Segmentation By Solution Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 16.2. UK Healthcare Fraud Analytics Market, Segmentation By Delivery Model, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 16.3. UK Healthcare Fraud Analytics Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

17. Germany Healthcare Fraud Analytics Market

  • 17.1. Germany Healthcare Fraud Analytics Market, Segmentation By Solution Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 17.2. Germany Healthcare Fraud Analytics Market, Segmentation By Delivery Model, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 17.3. Germany Healthcare Fraud Analytics Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

18. France Healthcare Fraud Analytics Market

  • 18.1. France Healthcare Fraud Analytics Market, Segmentation By Solution Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 18.2. France Healthcare Fraud Analytics Market, Segmentation By Delivery Model, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 18.3. France Healthcare Fraud Analytics Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

19. Italy Healthcare Fraud Analytics Market

  • 19.1. Italy Healthcare Fraud Analytics Market, Segmentation By Solution Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 19.2. Italy Healthcare Fraud Analytics Market, Segmentation By Delivery Model, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 19.3. Italy Healthcare Fraud Analytics Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

20. Spain Healthcare Fraud Analytics Market

  • 20.1. Spain Healthcare Fraud Analytics Market, Segmentation By Solution Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 20.2. Spain Healthcare Fraud Analytics Market, Segmentation By Delivery Model, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 20.3. Spain Healthcare Fraud Analytics Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

21. Eastern Europe Healthcare Fraud Analytics Market

  • 21.1. Eastern Europe Healthcare Fraud Analytics Market Overview
  • 21.2. Eastern Europe Healthcare Fraud Analytics Market, Segmentation By Solution Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 21.3. Eastern Europe Healthcare Fraud Analytics Market, Segmentation By Delivery Model, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 21.4. Eastern Europe Healthcare Fraud Analytics Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

22. Russia Healthcare Fraud Analytics Market

  • 22.1. Russia Healthcare Fraud Analytics Market, Segmentation By Solution Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 22.2. Russia Healthcare Fraud Analytics Market, Segmentation By Delivery Model, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 22.3. Russia Healthcare Fraud Analytics Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

23. North America Healthcare Fraud Analytics Market

  • 23.1. North America Healthcare Fraud Analytics Market Overview
  • 23.2. North America Healthcare Fraud Analytics Market, Segmentation By Solution Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 23.3. North America Healthcare Fraud Analytics Market, Segmentation By Delivery Model, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 23.4. North America Healthcare Fraud Analytics Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

24. USA Healthcare Fraud Analytics Market

  • 24.1. USA Healthcare Fraud Analytics Market Overview
  • 24.2. USA Healthcare Fraud Analytics Market, Segmentation By Solution Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 24.3. USA Healthcare Fraud Analytics Market, Segmentation By Delivery Model, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 24.4. USA Healthcare Fraud Analytics Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

25. Canada Healthcare Fraud Analytics Market

  • 25.1. Canada Healthcare Fraud Analytics Market Overview
  • 25.2. Canada Healthcare Fraud Analytics Market, Segmentation By Solution Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 25.3. Canada Healthcare Fraud Analytics Market, Segmentation By Delivery Model, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 25.4. Canada Healthcare Fraud Analytics Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

26. South America Healthcare Fraud Analytics Market

  • 26.1. South America Healthcare Fraud Analytics Market Overview
  • 26.2. South America Healthcare Fraud Analytics Market, Segmentation By Solution Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 26.3. South America Healthcare Fraud Analytics Market, Segmentation By Delivery Model, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 26.4. South America Healthcare Fraud Analytics Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

27. Brazil Healthcare Fraud Analytics Market

  • 27.1. Brazil Healthcare Fraud Analytics Market, Segmentation By Solution Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 27.2. Brazil Healthcare Fraud Analytics Market, Segmentation By Delivery Model, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 27.3. Brazil Healthcare Fraud Analytics Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

28. Middle East Healthcare Fraud Analytics Market

  • 28.1. Middle East Healthcare Fraud Analytics Market Overview
  • 28.2. Middle East Healthcare Fraud Analytics Market, Segmentation By Solution Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 28.3. Middle East Healthcare Fraud Analytics Market, Segmentation By Delivery Model, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 28.4. Middle East Healthcare Fraud Analytics Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

29. Africa Healthcare Fraud Analytics Market

  • 29.1. Africa Healthcare Fraud Analytics Market Overview
  • 29.2. Africa Healthcare Fraud Analytics Market, Segmentation By Solution Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 29.3. Africa Healthcare Fraud Analytics Market, Segmentation By Delivery Model, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 29.4. Africa Healthcare Fraud Analytics Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

30. Healthcare Fraud Analytics Market Competitive Landscape And Company Profiles

  • 30.1. Healthcare Fraud Analytics Market Competitive Landscape
  • 30.2. Healthcare Fraud Analytics Market Company Profiles
    • 30.2.1. International Business Machines Corporation Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.2. Optum Inc. Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.3. Statistical Analysis Software Institute Inc. Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.4. Change Healthcare Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.5. EXL Service Holdings Inc. Overview, Products and Services, Strategy and Financial Analysis

31. Healthcare Fraud Analytics Market Other Major And Innovative Companies

  • 31.1. Cotiviti Inc.
  • 31.2. DXC Technology Company
  • 31.3. Wipro Limited
  • 31.4. Conduent Incorporated
  • 31.5. HCL Technologies Limited
  • 31.6. Qlarant Inc.
  • 31.7. LEXIS-NEXIS Group
  • 31.8. Healthcare Fraud Shield
  • 31.9. FraudLens Inc.
  • 31.10. HMS Holding Corp.
  • 31.11. Codoxo
  • 31.12. H20. ai
  • 31.13. Pondera Solutions Inc.
  • 31.14. Friss International B. V.
  • 31.15. MultiPlan Inc.

32. Global Healthcare Fraud Analytics Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The Healthcare Fraud Analytics Market

34. Recent Developments In The Healthcare Fraud Analytics Market

35. Healthcare Fraud Analytics Market High Potential Countries, Segments and Strategies

  • 35.1 Healthcare Fraud Analytics Market In 2029 - Countries Offering Most New Opportunities
  • 35.2 Healthcare Fraud Analytics Market In 2029 - Segments Offering Most New Opportunities
  • 35.3 Healthcare Fraud Analytics Market In 2029 - Growth Strategies
    • 35.3.1 Market Trend Based Strategies
    • 35.3.2 Competitor Strategies

36. Appendix

  • 36.1. Abbreviations
  • 36.2. Currencies
  • 36.3. Historic And Forecast Inflation Rates
  • 36.4. Research Inquiries
  • 36.5. The Business Research Company
  • 36.6. Copyright And Disclaimer