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市场调查报告书
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1840264

2025年全球医疗保健诈欺分析市场报告

Healthcare Fraud Analytics Global Market Report 2025
出版日期: | 出版商: The Business Research Company | 英文 250 Pages | 商品交期: 2-10个工作天内

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简介目录

近年来，医疗保健诈欺分析市场发展迅速，预计从2024年的37.3亿美元成长到2025年的46.5亿美元，复合年增长率达24.7%。这段时期的成长主要受以下因素驱动：医疗保健成本上升、医疗保健系统日益复杂、医疗保健数据量不断增长、向电子健康记录（EHR）的转变以及欺诈性计费带来的挑战。

预计未来几年，医疗保健诈欺分析市场将呈指数级增长，到2029年将达到121.8亿美元，年复合成长率（CAGR）为27.2%。预测期内的成长可归因于多种因素，例如欺诈手段日益复杂化、预测分析的整合、监管法规的不断演变、全球疫情的影响以及患者身份验证的加强。预测期内的关键趋势包括采用云端基础的分析、用户友好的介面、自动化诈欺调查、即时诈欺检测和行为分析。

医疗保健诈欺分析是指利用本地部署和按需提供的分析解决方案，帮助识别重复/重复索赔、医疗保健计费操作和应用程式中的错误等问题。医疗保健诈欺分析旨在帮助医疗保健公司审核其帐户，并发现各种交易中的诈欺活动。它可以识别与计费、索赔、预付款、后付款和支付完整性相关的诈欺行为。

医疗保健诈欺分析的主要解决方案包括说明分析、预测性分析和指示性分析。说明分析是利用当前和历史资料来识别趋势和关係的过程。医疗保健诈欺分析解决方案可部署在本地或按需使用，并广泛应用于保险索赔审核、后付费审核、预付费审核、药房帐单诈欺、支付完整性以及其他应用场景。医疗保健诈欺分析的应用对象包括公共和政府机构、私人保险支付方以及第三方服务提供者。

美国在2025年春季突然提高关税及其引发的贸易摩擦，对资讯科技产业，特别是硬体製造、资料基础设施和软体部署领域，产生了重大影响。进口半导体、电路基板和网路设备的关税上涨，推高了高科技公司、云端服务供应商和资料中心的生产和营运成本。在全球范围内采购笔记型电脑、伺服器和消费电子产品零件的公司，面临更长的前置作业时间和价格压力。同时，对专用软体征收的关税以及主要国际市场的报復性措施，扰乱了全球IT供应链，并降低了海外对美国製造技术的需求。为了应对这些挑战，该产业正在加大对国内晶片生产的投资，扩大供应商网络，并利用人工智慧驱动的自动化技术来增强韧性，更有效地控製成本。

这份医疗保健诈欺分析市场研究报告是商业研究公司最新报告系列的一部分，提供医疗保健诈欺分析市场的统计数据，例如全球市场规模、区域份额、竞争对手及其市场份额、详细的市场细分、市场趋势以及医疗保健诈欺分析行业的商机。这份医疗保健诈欺分析市场研究报告对该行业的现状和未来发展趋势进行了详细分析，为您提供所需的一切全面观点。

未来五年27.2%的成长率预测较我们先前对该市场的预测略微下调了0.4%。这一下调主要归因于美国与其他国家之间的关税影响。关税导致分析加速器和安全资料储存设备的进口成本增加，可能会增加美国反诈欺分析服务供应商的营运预算。此外，相互关税以及日益加剧的贸易紧张局势和限制措施对全球经济和贸易的负面影响可能会产生更广泛的影响。

医疗保健诈欺案件的显着增加正在推动医疗保健诈欺分析市场的成长。当医疗服务提供者、患者或第三方故意欺骗医疗保健系统，并透过欺骗或虚假陈述获取非法利益时，就可能发生诈欺。常见的诈欺行为包括回扣、不当计费、虚报服务费用以及其他欺骗性做法。例如，2023年12月，美国卫生与公众服务部 (HHS) 报告称，医疗保健诈骗调查共追回超过17.2亿美元的款项，其中约12亿美元返还给了联邦医疗保险信託基金。此外，司法部 (DOJ) 指出，2023财年根据《虚假申报法》达成的和解和判决金额超过26.8亿美元，凸显了其打击诈欺的有力执法力度。这些统计数据表明，医疗保健诈欺造成了巨大的经济损失，估计每年损失高达数十亿美元，有些人估计甚至高达年度医疗支出的10%。因此，医疗保健诈欺的增加极大地促进了医疗保健诈欺分析市场的成长。

医疗保健支出不断增长预计将推动医疗保健诈欺分析市场的发展。医疗保健支出是指在特定时期内用于医疗保健服务及相关活动的全部资源，包括货币和非货币资源。医疗机构和支付方正在投资先进的诈欺分析解决方案，以保护其财务资源。例如，总部位于英国的风险管理、保险经纪和咨询公司韦莱韬悦（Willis Towers Watson Public Limited Company）于2022年10月发布报告称，医疗保健福利成本预计将从2021年的8.2%增长到2022年的8.8%，并在2023年再次增长至全球10%的高位。因此，医疗保健支出不断增长正在推动医疗保健诈欺分析市场的发展。

医疗保健诈欺分析市场的关键参与者正致力于加大投资，以巩固其行业地位。医疗保健诈欺分析技术的快速发展反映出，越来越多的资金被投入到旨在检测和预防该领域诈欺行为的先进分析工具和技术中。例如，2024年8月，印度数位医疗保健公司MediBuddy推出了一款名为Sherlock的创新人工智慧诈欺侦测系统，旨在打击医疗保健欺诈，尤其是在医疗报销索赔领域。此先进平台采用尖端的人工智慧（AI）和机器学习（ML）技术，能够即时辨识并预防诈欺行为，进而提升医疗保健系统的完整性。

医疗保健诈欺分析市场包括提供诈欺侦测、预测分析和医疗补助等服务的营业单位所获得的收入。市场价值还包括服务提供者销售的任何相关商品或包含在其服务产品中的任何相关商品的价值。仅包括在营业单位之间交易或出售给最终消费者的商品和服务。

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、通货膨胀、地缘政治、贸易战和关税，以及新冠疫情及其復苏对市场的影响

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、法律因素、驱动因素和限制因素）
  • 终端用户产业分析
  • 全球医疗保健诈欺分析市场：成长率分析
  • 全球医疗保健诈欺分析市场表现：规模与成长，2019-2024 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：潜在市场规模 (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、效能和预测划分，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：按交付模式、效能和预测划分，2019-2024年、2024-2029年、2034年
  • 本地部署
  • 一经请求
  • 全球医疗保健诈欺分析市场：按应用、效能和预测划分，2019-2024年、2024-2029年、2034年
  • 保险理赔审查
  • 稍后付款评论
  • 预付费评论
  • 药房帐单诈欺
  • 支付完整性
  • 其他用途
  • 全球医疗保健诈欺分析市场：细分说明分析（按类型）、实际结果和预测（2019-2024 年、2024-2029 年、2034 年）
  • 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：按分析类型分類的细分市场及预测，实际数据及预测数据，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（按类型）细分、效能和预测，2019-2024 年、2024-2029 年、2034 年
  • 建议引擎
  • 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、绩效和预测划分，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、绩效和预测划分，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

第十七章：德国市场

第十八章：法国市场

第十九章：义大利市场

第二十章：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

第三十章：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：公司概况
    • 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：其他领先和创新企业

  • 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 全球市场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：高潜力市场国家、细分市场与策略

  • 2029年医疗保健诈欺分析市场：提供新机会的国家
  • 2029年医疗保健诈欺分析市场：新兴细分市场带来新机会
  • 2029年医疗保健诈欺分析市场：成长策略
    • 基于市场趋势的策略
    • 竞争对手策略

第36章附录

简介目录
Product Code: r21578u

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.

Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report's Recommendations and Conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.

The sharp rise in U.S. tariffs and the ensuing trade tensions in spring 2025 are having a significant impact on the information technology sector, especially in hardware manufacturing, data infrastructure, and software deployment. Increased duties on imported semiconductors, circuit boards, and networking equipment have driven up production and operating costs for tech companies, cloud service providers, and data centers. Firms that depend on globally sourced components for laptops, servers, and consumer electronics are grappling with extended lead times and mounting pricing pressures. At the same time, tariffs on specialized software and retaliatory actions by key international markets have disrupted global IT supply chains and dampened foreign demand for U.S.-made technologies. In response, the sector is ramping up investments in domestic chip production, broadening its supplier network, and leveraging AI-powered automation to improve resilience and manage costs more effectively.

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 $4.65 billion in 2025 at a compound annual growth rate (CAGR) of 24.7%. 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 $12.18 billion in 2029 at a compound annual growth rate (CAGR) of 27.2%. 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.

The forecast of 27.2% growth over the next five years reflects a modest reduction of 0.4% from the previous estimate for this market. This reduction is primarily due to the impact of tariffs between the US and other countries. Higher costs of importing analytical accelerators and secure data storage due to tariffs may increase operational budgets for U.S. fraud analytics providers. The effect will also be felt more widely due to reciprocal tariffs and the negative effect on the global economy and trade due to increased trade tensions and restrictions.

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, including technological disruption, regulatory shifts, and changing consumer preferences? 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 technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.

  • 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.
  • 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.; 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
  • 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, Trade Wars and Tariffs, And Covid And Recovery On The Market

  • 4.1. Supply Chain Impact from Tariff War & Trade Protectionism

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