ヘルスケア不正分析の世界市場レポート 2025年

ヘルスケア不正分析の市場規模は、今後数年で飛躍的な成長が見込まれます。2029年の年間平均成長率（CAGR）は27.6％で、123億8,000万米ドルに成長します。予測期間の成長は、不正スキームの高度化、予測分析の統合、規制の進化、世界的大流行の影響、患者本人確認の強化などに起因すると考えられます。予測期間における主な動向には、クラウドベースのアナリティクスの採用、ユーザーフレンドリーなインターフェース、不正調査の自動化、リアルタイムの不正検知、行動アナリティクスなどがあります。

ヘルスケア分野における不正行為の大幅な増加が、ヘルスケア不正分析市場の成長を促進しています。不正行為は、医療提供者、患者、第三者が意図的に医療制度を欺き、欺瞞や虚偽の説明によって違法な利益を得ることによって行われます。一般的な不正行為には、キックバック、不適切な請求、提供されていないサービスの請求、その他の欺瞞行為が含まれます。例えば、2023年12月、米国保健福祉省（HHS）は、医療詐欺捜査の結果、総額17億2,000万米ドル以上の回収があり、約12億米ドルがメディケア信託基金に返還されたと報告しました。さらに司法省（DOJ）は、2023会計年度には不正請求法に基づく和解と判決が26億8,000万米ドルを超え、不正行為に対する強力な執行対応が強調されていると指摘しました。これらの統計は、ヘルスケア不正の経済的な影響の大きさを強調するものであり、その損失は毎年数十億米ドルに上ると推定され、年間医療費の10％にも達するとの試算もあります。このように、ヘルスケアにおける不正行為の増加は、ヘルスケア不正分析市場の成長に大きく寄与しています。

ヘルスケア支出の増加がヘルスケア不正分析市場の成長を促進すると予想されます。ヘルスケア支出とは、特定の期間内にヘルスケアサービスや関連活動に費やされる、金銭的・非金銭的なものを含むリソースの総額を指します。ヘルスケア組織や支払者は、財源を守るために高度な不正分析ソリューションに投資しています。例えば、2022年10月、英国のリスク管理、保険仲介、アドバイザリー会社であるWillis Towers Watson Public Limited Companyによると、ヘルスケア給付費は2021年の8.2%から2022年には8.8%に増加し、2023年には再び世界平均10%という高い水準に成長すると予想されています。したがって、ヘルスケア支出の増加がヘルスケア不正分析市場の成長を牽引しています。

目次

第1章 エグゼクティブサマリー

第2章 市場の特徴

第3章 市場動向と戦略

第4章 市場-金利、インフレ、地政学、コロナ禍、回復が市場に与える影響を含むマクロ経済シナリオ

第5章 世界成長分析と戦略分析フレームワーク

• 世界のヘルスケア不正分析PESTEL分析（政治、社会、技術、環境、法的要因、促進要因、抑制要因）
• 最終用途産業の分析
• 世界のヘルスケア不正分析市場成長率分析
• 世界のヘルスケア不正分析市場の実績：規模と成長, 2019-2024
• 世界のヘルスケア不正分析市場の予測：規模と成長, 2024-2029, 2034F
• 世界のヘルスケア不正分析総アドレス可能市場（TAM）

第6章 市場セグメンテーション

• 世界のヘルスケア不正分析市場：ソリューションタイプ別、実績と予測, 2019-2024, 2024-2029F, 2034F
• 記述的分析
• 予測的分析
• 処方的分析
• 世界のヘルスケア不正分析市場：提供モデル別、実績と予測, 2019-2024, 2024-2029F, 2034F
• オンプレミス
• オンデマンド
• 世界のヘルスケア不正分析市場：用途別、実績と予測, 2019-2024, 2024-2029F, 2034F
• 保険金請求の審査
• 後払いレビュー
• 前払いの見直し
• 薬局請求書の不正使用
• 支払いの整合性
• その他の用途
• 世界のヘルスケア不正分析市場：記述的分析のサブセグメンテーション、タイプ別、実績と予測, 2019-2024, 2024-2029F, 2034F
• データ集約
• レポートツール
• 視覚化テクニック
• 世界のヘルスケア不正分析市場：予測的分析のサブセグメンテーション、タイプ別、実績と予測, 2019-2024, 2024-2029F, 2034F
• リスク評価モデル
• トレンド分析
• 異常検出
• 世界のヘルスケア不正分析市場：処方的分析のサブセグメンテーション、タイプ別、実績と予測, 2019-2024, 2024-2029F, 2034F
• 推奨エンジン
• シミュレーションモデル
• リソース割り当てツール

第7章 地域別・国別分析

• 世界のヘルスケア不正分析市場：地域別、実績と予測, 2019-2024, 2024-2029F, 2034F
• 世界のヘルスケア不正分析市場：国別、実績と予測, 2019-2024, 2024-2029F, 2034F

第8章 アジア太平洋市場

第9章 中国市場

第10章 インド市場

第11章 日本市場

第12章 オーストラリア市場

第13章 インドネシア市場

第14章 韓国市場

第15章 西欧市場

第16章 英国市場

第17章 ドイツ市場

第18章 フランス市場

第19章 イタリア市場

第20章 スペイン市場

第21章 東欧市場

第22章 ロシア市場

第23章 北米市場

第24章 米国市場

第25章 カナダ市場

第26章 南米市場

第27章 ブラジル市場

第28章 中東市場

第29章 アフリカ市場

第30章 競合情勢と企業プロファイル

• ヘルスケア不正分析市場：競合情勢
• ヘルスケア不正分析市場：企業プロファイル
  • 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 その他の大手企業と革新的企業

• 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 B. V.
• MultiPlan Inc.

第32章 世界市場競合ベンチマーキングとダッシュボード

第33章 主要な合併と買収

第34章 市場の最近の動向

第35章 市場の潜在力が高い国、セグメント、戦略

• ヘルスケア不正分析市場2029年-最も新しい機会を提供する国
• ヘルスケア不正分析市場2029年-最も新しい機会を提供するセグメント
• ヘルスケア不正分析市場2029年-成長戦略
  • 市場動向に基づく戦略
  • 競合の戦略

第36章 付録

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