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市場調查報告書
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1840264

2025年全球醫療保健詐欺分析市場報告

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個工作天內

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簡介目錄

近年來，醫療保健詐欺分析市場發展迅速，預計從2024年的37.3億美元成長到2025年的46.5億美元，複合年成長率達24.7%。這段時期的成長主要受以下因素驅動：醫療保健成本上升、醫療保健系統日益複雜、醫療保健數據量不斷成長、向電子健康記錄（EHR）的轉變以及欺詐性計費帶來的挑戰。

預計未來幾年，醫療保健詐欺分析市場將呈指數級成長，到2029年將達到121.8億美元，年複合成長率（CAGR）為27.2%。預測期內的成長可歸因於多種因素，例如欺詐手段日益複雜化、預測分析的整合、監管法規的不斷演變、全球疫情的影響以及患者身份驗證的加強。預測期內的關鍵趨勢包括採用雲端基礎的分析、方便用戶使用的介面、自動化詐欺調查、即時詐欺檢測和行為分析。

醫療保健詐欺分析是指利用本地部署和按需提供的分析解決方案，幫助識別重複/重複索賠、醫療保健計費操作和應用程式中的錯誤等問題。醫療保健詐欺分析旨在幫助醫療保健公司審核其帳戶，並發現各種交易中的詐欺活動。它可以識別與計費、索賠、預付款、後付款和支付完整性相關的詐欺行為。

醫療保健詐欺分析的主要解決方案包括說明分析、預測性分析和指示性分析。說明分析是利用當前和歷史資料來識別趨勢和關係的過程。醫療保健詐欺分析解決方案可部署在本地或按需使用，並廣泛應用於保險索賠審核、後付費審核、預付費審核、藥房帳單詐欺、支付完整性以及其他應用場景。醫療保健詐欺分析的應用對象包括公共和政府機構、私人保險支付方以及第三方服務提供者。

美國在2025年春季突然提高關稅及其引發的貿易摩擦，對資訊科技產業，特別是硬體製造、資料基礎設施和軟體部署領域，產生了重大影響。進口半導體、電路基板和網路設備的關稅上漲，推高了高科技公司、雲端服務供應商和資料中心的生產和營運成本。在全球範圍內採購筆記型電腦、伺服器和消費電子產品零件的公司，面臨更長的前置作業時間和價格壓力。同時，對專用軟體徵收的關稅以及主要國際市場的報復性措施，擾亂了全球IT供應鏈，並降低了海外對美國製造技術的需求。為了應對這些挑戰，該產業正在加大對國內晶片生產的投資，擴大供應商網路，並利用人工智慧驅動的自動化技術來增強韌性，更有效地控制成本。

這份醫療保健詐欺分析市場研究報告是商業研究公司最新報告系列的一部分，提供醫療保健詐欺分析市場的統計數據，例如全球市場規模、區域佔有率、競爭對手及其市場佔有率、詳細的市場細分、市場趨勢以及醫療保健詐欺分析行業的商機。這份醫療保健詐欺分析市場研究報告對該行業的現狀和未來發展趨勢進行了詳細分析，為您提供所需的一切全面觀點。

未來五年27.2%的成長率預測較我們先前對該市場的預測略微下調了0.4%。這一下調主要歸因於美國與其他國家之間的關稅影響。關稅導致分析加速器和安全資料儲存設備的進口成本增加，可能會增加美國反詐欺分析服務供應商的營運預算。此外，相互關稅以及日益加劇的貿易緊張局勢和限制措施對全球經濟和貿易的負面影響可能會產生更廣泛的影響。

醫療保健詐欺案件的顯著增加正在推動醫療保健詐欺分析市場的成長。當醫療服務提供者、患者或第三方故意欺騙醫療保健系統，並透過欺騙或虛假陳述獲取非法利益時，就可能發生詐欺。常見的詐欺行為包括回扣、不當計費、虛報服務費用以及其他欺騙性做法。例如，2023年12月，美國衛生與公眾服務部 (HHS) 報告稱，醫療保健詐騙調查共追回超過17.2億美元的款項，其中約12億美元返還給了聯邦醫療保險信託基金。此外，司法部 (DOJ) 指出，2023會計年度根據《虛假申報法》達成的和解和判決金額超過26.8億美元，凸顯了其打擊詐欺的有力執法力度。這些統計數據表明，醫療保健詐欺造成了巨大的經濟損失，估計每年損失高達數十億美元，有些人估計甚至高達年度醫療支出的10%。因此，醫療保健詐欺的增加極大地促進了醫療保健詐欺分析市場的成長。

醫療保健支出不斷成長預計將推動醫療保健詐欺分析市場的發展。醫療保健支出是指在特定時期內用於醫療保健服務及相關活動的全部資源，包括貨幣和非貨幣資源。醫療機構和支付方正在投資先進的詐欺分析解決方案，以保護其財務資源。例如，總部位於英國的風險管理、保險經紀和諮詢公司韋萊韜悅（Willis Towers Watson Public Limited Company）於2022年10月發布報告稱，醫療保健福利成本預計將從2021年的8.2%成長到2022年的8.8%，並在2023年再次成長至全球10%的高位。因此，醫療保健支出不斷成長正在推動醫療保健詐欺分析市場的發展。

醫療保健詐欺分析市場的關鍵參與者正致力於加大投資，以鞏固其行業地位。醫療保健詐欺分析技術的快速發展反映出，越來越多的資金被投入到旨在檢測和預防該領域詐欺行為的先進分析工具和技術中。例如，2024年8月，印度數位醫療保健公司MediBuddy推出了一款名為Sherlock的創新人工智慧詐欺偵測系統，旨在打擊醫療保健欺詐，尤其是在醫療報銷索賠領域。此先進平台採用尖端的人工智慧（AI）和機器學習（ML）技術，能夠即時辨識並預防詐欺行為，進而提升醫療保健系統的完整性。

醫療保健詐欺分析市場包括提供詐欺偵測、預測分析和醫療補助等服務的營業單位所獲得的收入。市場價值還包括服務提供者銷售的任何相關商品或包含在其服務產品中的任何相關商品的價值。僅包括在營業單位之間交易或出售給最終消費者的商品和服務。

目錄

第1章執行摘要

第2章 市場特徵

第3章 市場趨勢與策略

第4章 市場：宏觀經濟情景，包括利率、通貨膨脹、地緣政治、貿易戰和關稅，以及新冠疫情及其復甦對市場的影響

第5章 全球成長分析與策略分析框架

  • 全球醫療保健詐欺分析：PESTEL 分析（政治、社會、技術、環境、法律因素、促進因素和限制因素）
  • 終端用戶產業分析
  • 全球醫療保健詐欺分析市場：成長率分析
  • 全球醫療保健詐欺分析市場表現：規模與成長，2019-2024 年
  • 全球醫療保健詐欺分析市場預測：規模與成長，2024-2029年，2034年
  • 全球醫療保健詐欺分析：潛在市場規模 (TAM)

第6章 市場細分

  • 全球醫療保健詐欺分析市場：按解決方案類型、效能和預測分類，2019-2024年、2024-2029年、2034年
  • 說明分析
  • 預測分析
  • 指示性分析
  • 全球醫療保健詐欺分析市場：按交付模式、效能和預測分類，2019-2024年、2024-2029年、2034年
  • 本地部署
  • 一經請求
  • 全球醫療保健詐欺分析市場：按應用、效能和預測分類，2019-2024年、2024-2029年、2034年
  • 保險理賠審查
  • 稍後付款評論
  • 預付費評論
  • 藥房帳單詐欺
  • 支付完整性
  • 其他用途
  • 全球醫療保健詐欺分析市場：細分說明分析（按類型）、實際結果和預測（2019-2024 年、2024-2029 年、2034 年）
  • 資料聚合
  • 報告工具
  • 視覺化技術
  • 全球醫療保健詐欺分析市場：按分析類型分類的細分市場及預測，實際數據及預測數據，2019-2024年、2024-2029年、2034年
  • 風險評估模型
  • 趨勢分析
  • 異常檢測
  • 全球醫療保健詐欺分析市場：指示性分析（按類型）細分、效能和預測，2019-2024 年、2024-2029 年、2034 年
  • 建議引擎
  • 模擬模型
  • 資源分配工具

第7章 區域和國家分析

  • 全球醫療保健詐欺分析市場：按地區、績效和預測分類，2019-2024年、2024-2029年、2034年
  • 全球醫療保健詐欺分析市場：按國家/地區、績效和預測分類，2019-2024 年、2024-2029 年、2034 年

第8章 亞太市場

第9章：中國市場

第10章 印度市場

第11章 日本市場

第12章：澳洲市場

第13章 印尼市場

第14章 韓國市場

第15章 西歐市場

第16章英國市場

第17章：德國市場

第18章：法國市場

第19章：義大利市場

第20章：西班牙市場

第21章 東歐市場

第22章：俄羅斯市場

第23章 北美市場

第24章美國市場

第25章：加拿大市場

第26章 南美洲市場

第27章：巴西市場

第28章 中東市場

第29章：非洲市場

第30章：競爭格局與公司概況

  • 醫療保健詐欺分析市場：競爭格局
  • 醫療保健詐欺分析市場：公司概況
    • 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：其他領先和創新企業

  • 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 全球市場競爭基準化分析與儀錶板

第33章 重大併購

第34章 近期市場趨勢

第35章：高潛力市場國家、細分市場與策略

  • 2029年醫療保健詐欺分析市場：提供新機會的國家
  • 2029年醫療保健詐欺分析市場：新興細分市場帶來新機會
  • 2029年醫療保健詐欺分析市場：成長策略
    • 基於市場趨勢的策略
    • 競爭對手策略

第36章附錄

簡介目錄
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