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市場調查報告書
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1590938

醫療保健詐欺分析市場：按解決方案類型、交付模式、應用程式、最終用戶 - 2025-2030 年全球預測

Healthcare Fraud Analytics Market by Solution Type (Descriptive Analytics, Predictive Analytics, Prescriptive Analytics), Delivery Model (On-Demand, On-Premise), Application, End-User - Global Forecast 2025-2030
出版日期: | 出版商: 360iResearch | 英文 198 Pages | 商品交期: 最快1-2個工作天內

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2023年醫療詐欺分析市值為69.2億美元，預計2024年將達到81.8億美元，複合年成長率為19.61%，預計到2030年將達到242.7億美元。

醫療保健詐欺分析是指使用先進​​的資料分析工具和技術來檢測、預防和減輕醫療保健系統中的詐欺行為。它包括各種分析技術，例如預測建模、機器學習和資料探勘，旨在識別虛假申請、申請和其他非法貿易。醫療詐欺分析的需求源於日益增加的詐欺負擔，每年對醫療保健系統造成數十億美元的損失，使資源緊張，並增加患者和提供者的成本。醫療保健詐欺分析具有廣泛的應用，包括保險公司、政府機構和醫療保健提供者，他們依靠這些工具來保護業務免受詐欺。就最終用途而言，這些分析解決方案對於保險公司、醫療保健 IT 公司和負責監控醫療保健成本的監管機構至關重要。

主要市場統計
基準年[2023] 69.2億美元
預測年份 [2024] 81.8億美元
預測年份 [2030] 242.7億美元
複合年成長率（%） 19.61%

主要的成長要素是人工智慧和機器學習的進步，提高了詐欺偵測系統的準確性。此外，醫療記錄和申請資料日益數位化化為分析應用提供了大量資料集。此外，監管壓力和不斷增加的詐欺案例正在推動市場需求。將這些系統與即時分析和雲端解決方案整合以提高可訪問性和處理速度存在機會。對保護敏感資料的網路安全措施的投資也指出了一條成長之路。

挑戰包括資料隱私問題、需要強力的保護以防止違規，以及將分析解決方案與現有醫療保健IT基礎設施整合的複雜性。您還需要熟練的人員來管理和解釋高級分析輸出。創新應側重於開發方便用戶使用的介面並減少詐欺檢測系統中的誤報。對自適應學習技術的持續研究也可以提高系統的準確性和效率。該市場的特點是技術快速進步，眾多參與者競相提供尖端解決方案，創造了一個適合創新和策略合作的競爭和動態環境。對自我調整智慧和互通性的關注將有助於企業在這個不斷變化的市場環境中建立強大的地位。

市場動態：揭示快速發展的醫療詐欺分析市場的關鍵市場洞察

醫療保健詐欺分析市場正在因供需的動態交互作用而轉變。了解這些不斷變化的市場動態可以幫助企業做出明智的投資決策、策略決策並抓住新的商機。全面了解這些趨勢可以幫助企業降低政治、地理、技術、社會和經濟領域的風險，同時也能幫助企業了解消費行為及其對製造業的影響。

  • 市場促進因素
    • 醫療保健領域的詐欺行為增加
    • 擴大引進全球醫療保險體系
    • 有效追蹤醫療保健領域詐欺和濫用行為的需求日益增加
  • 市場限制因素
    • 與醫療保健詐欺分析服務相關的高成本
  • 市場機會
    • 醫療保健 BPO 和詐欺ID 管理軟體簡介
    • 將高級分析、人工智慧 (AI) 和機器學習 (ML) 整合到醫療詐欺分析軟體中
  • 市場挑戰
    • 醫療詐欺分析軟體和服務的使用限制

波特五力：駕馭醫療詐欺分析市場的策略工具

波特的五力架構是了解醫療詐欺分析市場競爭格局的關鍵工具。波特的五力框架為評估公司的競爭地位和探索策略機會提供了清晰的方法。該框架可幫助公司評估市場動態並確定新業務的盈利。這些見解使公司能夠利用自己的優勢，解決弱點並避免潛在的挑戰，從而確保更強大的市場地位。

PESTLE分析：了解醫療詐欺分析市場的外部影響

外部宏觀環境因素在塑造醫療詐欺分析市場的績效動態方面發揮著至關重要的作用。對政治、經濟、社會、技術、法律和環境因素的分析提供了應對這些影響所需的資訊。透過調查 PESTLE 因素，公司可以更了解潛在的風險和機會。這種分析可以幫助公司預測法規、消費者偏好和經濟趨勢的變化，並幫助他們做出積極主動的決策。

市場佔有率分析 了解醫療詐欺分析市場的競爭格局

對醫療詐欺分析市場的詳細市場佔有率分析可以對供應商績效進行全面評估。公司可以透過比較收益、客戶群和成長率等關鍵指標來揭示其競爭地位。該分析揭示了市場集中、分散和整合的趨勢，為供應商提供了製定策略決策所需的見解，以應對日益激烈的競爭。

FPNV 定位矩陣醫療保健詐欺分析供應商的市場績效評估

FPNV 定位矩陣是評估醫療詐欺分析市場供應商的關鍵工具。此矩陣允許業務組織根據商務策略和產品滿意度評估供應商，從而做出與其目標相符的明智決策。這四個象限使您能夠清晰、準確地分類供應商，並確定最能滿足您的策略目標的合作夥伴和解決方案。

策略分析和建議繪製醫療詐欺分析市場的成功之路

對於旨在加強其在全球市場的影響力的公司來說，對醫療保健詐欺分析市場的策略分析至關重要。透過審查關鍵資源、能力和績效指標，公司可以識別成長機會並努力改進。這種方法使您能夠克服競爭環境中的挑戰，利用新的商機並取得長期成功。

本報告對市場進行了全面分析，涵蓋關鍵重點領域：

1. 市場滲透率：詳細檢視當前市場環境、主要企業的廣泛資料、評估其在市場中的影響力和整體影響力。

2. 市場開拓：辨識新興市場的成長機會，評估現有領域的擴張潛力，並提供未來成長的策略藍圖。

3. 市場多元化：分析近期產品發布、開拓地區、關鍵產業進展、塑造市場的策略投資。

4. 競爭評估與情報：徹底分析競爭格局，檢驗市場佔有率、業務策略、產品系列、認證、監理核准、專利趨勢、主要企業的技術進步等。

5. 產品開發與創新：重點在於有望推動未來市場成長的最尖端科技、研發活動和產品創新。

我們也回答重要問題，幫助相關人員做出明智的決策：

1.目前的市場規模和未來的成長預測是多少？

2. 哪些產品、區隔市場和地區提供最佳投資機會？

3.塑造市場的主要技術趨勢和監管影響是什麼？

4.主要廠商的市場佔有率和競爭地位如何？

5. 推動供應商市場進入和退出策略的收益來源和策略機會是什麼？

目錄

第1章 前言

第2章調查方法

第3章執行摘要

第4章市場概況

第5章市場洞察

  • 市場動態
    • 促進因素
      • 醫療保健領域的詐欺行為增加
      • 全球健康保險計劃的採用率增加
      • 有效追蹤醫療保健領域詐欺和詐欺的需求日益成長
    • 抑制因素
      • 與醫療詐欺分析服務相關的高成本
    • 機會
      • 醫療保健 BPO 和詐欺ID 管理軟體簡介
      • 將高級分析、人工智慧 (AI) 和機器學習 (ML) 整合到醫療詐欺分析軟體中
    • 任務
      • 醫療詐欺分析軟體和服務的使用限制
  • 市場區隔分析
  • 波特五力分析
  • PESTEL分析
    • 政治的
    • 經濟
    • 社群
    • 技術的
    • 合法地
    • 環境

第 6 章按解決方案類型分類的醫療詐欺分析市場

  • 說明分析
  • 預測分析
  • 指示性分析

第7章按交付模式分類的醫療詐欺分析市場

  • 一經請求
  • 本地

第8章醫療詐欺分析市場：依應用分類

  • 保險申請審查
    • 付款後查看
    • 預付款審核
  • 付款誠信
  • 藥房申請詐欺

第9章醫療詐欺分析市場：依最終用戶分類

  • 雇主
  • 私人保險付款人
  • 公共和政府機構
  • 第三方服務供應商

第10章美洲醫療詐欺分析市場

  • 阿根廷
  • 巴西
  • 加拿大
  • 墨西哥
  • 美國

第11章亞太醫療詐欺分析市場

  • 澳洲
  • 中國
  • 印度
  • 印尼
  • 日本
  • 馬來西亞
  • 菲律賓
  • 新加坡
  • 韓國
  • 台灣
  • 泰國
  • 越南

第12章歐洲、中東和非洲的醫療詐欺分析市場

  • 丹麥
  • 埃及
  • 芬蘭
  • 法國
  • 德國
  • 以色列
  • 義大利
  • 荷蘭
  • 奈及利亞
  • 挪威
  • 波蘭
  • 卡達
  • 俄羅斯
  • 沙烏地阿拉伯
  • 南非
  • 西班牙
  • 瑞典
  • 瑞士
  • 土耳其
  • 阿拉伯聯合大公國
  • 英國

第13章競爭格局

  • 2023 年市場佔有率分析
  • FPNV 定位矩陣，2023
  • 競爭情境分析
    • 慧澤宣布與平安健康險達成策略合作，共同推出客製化長期醫療保險產品“暢享安”
    • ACKO 收購數位健康平台 Parentlane 以拓展核心保險服務範圍
    • 亞馬遜以 39 億美元完成對 One Medical 的收購
    • Paul Merchants 與 Care Health Insurance 合作
    • Reliance 產物保險與 Paytm 合作提供可客製化的健康保險
    • 醫療公司正在積極累積電子記錄和個人化醫療領域的專利。
    • SBI產物保險推出新的醫療保險業務
    • 健康保險Start-UpsClaimBuddy資金籌措
    • 使用人工智慧的牙科保險詐騙、浪費和濫用檢測人工智慧系統
  • 戰略分析和建議

公司名單

  • Atos SE
  • CGI Inc.
  • Change Healthcare Inc.
  • Claroty Ltd.
  • Codoxo, Inc.
  • Conduent, Inc.
  • Coviti, Inc.
  • DXC Technology Company
  • ExlService Holdings, Inc.
  • Fair Isaac Corporation
  • Fortified Health Security
  • FraudLens Inc.
  • FRISS
  • H2O.ai, Inc.
  • HCL Technologies Ltd.
  • Healthcare fraud Shield
  • Hewlett Packard Enterprise Development LP
  • Imperva, Inc.
  • Intel Corporation
  • International Business Machines Corporation
  • LexisNexis Risk Solutions Group
  • Mckesson Corporation
  • Multuplan Corporaton
  • Northrop Grumman Corporation
  • OneSpan Inc.
  • OSP Labs
  • Pondera Solutions
  • Qlarant Inc.
  • RELX Group Plc
  • SAS Institute Inc.
  • Sharecare, Inc.
  • United Health Group Incorporated
  • Wipro Limited
Product Code: MRR-3E32260F81C0

The Healthcare Fraud Analytics Market was valued at USD 6.92 billion in 2023, expected to reach USD 8.18 billion in 2024, and is projected to grow at a CAGR of 19.61%, to USD 24.27 billion by 2030.

Healthcare Fraud Analytics refers to the use of sophisticated data analysis tools and methodologies to detect, prevent, and mitigate fraudulent activities within the healthcare system. The scope encompasses various analytics techniques, including predictive modeling, machine learning, and data mining, aimed at identifying false claims, overbilling, and other fraudulent transactions. The necessity of healthcare fraud analytics is underscored by the increasing burden of fraud, which costs healthcare systems billions annually, thereby straining resources and increasing costs for patients and providers alike. Its application spans insurers, governmental agencies, and healthcare providers, who leverage these tools to secure their operations against fraudulent activities. In terms of end-use scope, these analytics solutions are crucial for insurance companies, healthcare IT firms, and regulatory bodies tasked with monitoring healthcare expenditures.

KEY MARKET STATISTICS
Base Year [2023] USD 6.92 billion
Estimated Year [2024] USD 8.18 billion
Forecast Year [2030] USD 24.27 billion
CAGR (%) 19.61%

Key growth factors include advancements in AI and machine learning which enhance the precision of fraud detection systems. The increasing digitization of healthcare records and claims data also provides an expansive dataset for analytics applications. Additionally, regulatory pressures and the rising incidence of fraud cases are propelling market demand. Opportunities lie in integrating these systems with real-time analytics and cloud solutions to improve accessibility and processing speed. Investing in cybersecurity measures to protect sensitive data also offers pathways for growth.

Challenges include data privacy concerns, which necessitate robust safeguarding measures against breaches, and the complexity of integrating analytics solutions with existing healthcare IT infrastructure. There's also a need for skilled personnel to manage and interpret sophisticated analytics outputs. Innovations should focus on developing user-friendly interfaces and reducing false positives in fraud detection systems. Continued research into adaptive learning technologies could also enhance system accuracy and efficiency. The market is characterized by rapid technological advancements, with numerous players vying to offer cutting-edge solutions, thus fostering a competitive and dynamic environment ripe for innovation and strategic collaboration. Emphasizing adaptive intelligence and interoperability can strongly position firms in this evolving market landscape.

Market Dynamics: Unveiling Key Market Insights in the Rapidly Evolving Healthcare Fraud Analytics Market

The Healthcare Fraud Analytics Market is undergoing transformative changes driven by a dynamic interplay of supply and demand factors. Understanding these evolving market dynamics prepares business organizations to make informed investment decisions, refine strategic decisions, and seize new opportunities. By gaining a comprehensive view of these trends, business organizations can mitigate various risks across political, geographic, technical, social, and economic domains while also gaining a clearer understanding of consumer behavior and its impact on manufacturing costs and purchasing trends.

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

Porter's Five Forces: A Strategic Tool for Navigating the Healthcare Fraud Analytics Market

Porter's five forces framework is a critical tool for understanding the competitive landscape of the Healthcare Fraud Analytics Market. It offers business organizations with a clear methodology for evaluating their competitive positioning and exploring strategic opportunities. This framework helps businesses assess the power dynamics within the market and determine the profitability of new ventures. With these insights, business organizations can leverage their strengths, address weaknesses, and avoid potential challenges, ensuring a more resilient market positioning.

PESTLE Analysis: Navigating External Influences in the Healthcare Fraud Analytics Market

External macro-environmental factors play a pivotal role in shaping the performance dynamics of the Healthcare Fraud Analytics Market. Political, Economic, Social, Technological, Legal, and Environmental factors analysis provides the necessary information to navigate these influences. By examining PESTLE factors, businesses can better understand potential risks and opportunities. This analysis enables business organizations to anticipate changes in regulations, consumer preferences, and economic trends, ensuring they are prepared to make proactive, forward-thinking decisions.

Market Share Analysis: Understanding the Competitive Landscape in the Healthcare Fraud Analytics Market

A detailed market share analysis in the Healthcare Fraud Analytics Market provides a comprehensive assessment of vendors' performance. Companies can identify their competitive positioning by comparing key metrics, including revenue, customer base, and growth rates. This analysis highlights market concentration, fragmentation, and trends in consolidation, offering vendors the insights required to make strategic decisions that enhance their position in an increasingly competitive landscape.

FPNV Positioning Matrix: Evaluating Vendors' Performance in the Healthcare Fraud Analytics Market

The Forefront, Pathfinder, Niche, Vital (FPNV) Positioning Matrix is a critical tool for evaluating vendors within the Healthcare Fraud Analytics Market. This matrix enables business organizations to make well-informed decisions that align with their goals by assessing vendors based on their business strategy and product satisfaction. The four quadrants provide a clear and precise segmentation of vendors, helping users identify the right partners and solutions that best fit their strategic objectives.

Strategy Analysis & Recommendation: Charting a Path to Success in the Healthcare Fraud Analytics Market

A strategic analysis of the Healthcare Fraud Analytics Market is essential for businesses looking to strengthen their global market presence. By reviewing key resources, capabilities, and performance indicators, business organizations can identify growth opportunities and work toward improvement. This approach helps businesses navigate challenges in the competitive landscape and ensures they are well-positioned to capitalize on newer opportunities and drive long-term success.

Key Company Profiles

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

Market Segmentation & Coverage

This research report categorizes the Healthcare Fraud Analytics Market to forecast the revenues and analyze trends in each of the following sub-markets:

  • Based on Solution Type, market is studied across Descriptive Analytics, Predictive Analytics, and Prescriptive Analytics.
  • Based on Delivery Model, market is studied across On-Demand and On-Premise.
  • Based on Application, market is studied across Insurance Claims Review, Payment Integrity, and Pharmacy Billing Misuse. The Insurance Claims Review is further studied across Post payment Review and Prepayment Review.
  • Based on End-User, market is studied across Employers, Private Insurance Payers, Public & Government Agencies, and Third-party service providers.
  • Based on Region, market is studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas is further studied across Argentina, Brazil, Canada, Mexico, and United States. The United States is further studied across California, Florida, Illinois, New York, Ohio, Pennsylvania, and Texas. The Asia-Pacific is further studied across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Taiwan, Thailand, and Vietnam. The Europe, Middle East & Africa is further studied across Denmark, Egypt, Finland, France, Germany, Israel, Italy, Netherlands, Nigeria, Norway, Poland, Qatar, Russia, Saudi Arabia, South Africa, Spain, Sweden, Switzerland, Turkey, United Arab Emirates, and United Kingdom.

The report offers a comprehensive analysis of the market, covering key focus areas:

1. Market Penetration: A detailed review of the current market environment, including extensive data from top industry players, evaluating their market reach and overall influence.

2. Market Development: Identifies growth opportunities in emerging markets and assesses expansion potential in established sectors, providing a strategic roadmap for future growth.

3. Market Diversification: Analyzes recent product launches, untapped geographic regions, major industry advancements, and strategic investments reshaping the market.

4. Competitive Assessment & Intelligence: Provides a thorough analysis of the competitive landscape, examining market share, business strategies, product portfolios, certifications, regulatory approvals, patent trends, and technological advancements of key players.

5. Product Development & Innovation: Highlights cutting-edge technologies, R&D activities, and product innovations expected to drive future market growth.

The report also answers critical questions to aid stakeholders in making informed decisions:

1. What is the current market size, and what is the forecasted growth?

2. Which products, segments, and regions offer the best investment opportunities?

3. What are the key technology trends and regulatory influences shaping the market?

4. How do leading vendors rank in terms of market share and competitive positioning?

5. What revenue sources and strategic opportunities drive vendors' market entry or exit strategies?

Table of Contents

1. Preface

  • 1.1. Objectives of the Study
  • 1.2. Market Segmentation & Coverage
  • 1.3. Years Considered for the Study
  • 1.4. Currency & Pricing
  • 1.5. Language
  • 1.6. Stakeholders

2. Research Methodology

  • 2.1. Define: Research Objective
  • 2.2. Determine: Research Design
  • 2.3. Prepare: Research Instrument
  • 2.4. Collect: Data Source
  • 2.5. Analyze: Data Interpretation
  • 2.6. Formulate: Data Verification
  • 2.7. Publish: Research Report
  • 2.8. Repeat: Report Update

3. Executive Summary

4. Market Overview

5. Market Insights

  • 5.1. Market Dynamics
    • 5.1.1. Drivers
      • 5.1.1.1. Increasing number of fraudulent activities in the healthcare sector
      • 5.1.1.2. Growing adoption of health insurance plans across the globe
      • 5.1.1.3. Rising need to track fraud & abuse efficiently in healthcare domain
    • 5.1.2. Restraints
      • 5.1.2.1. High cost associated with healthcare fraud analytics services
    • 5.1.3. Opportunities
      • 5.1.3.1. Introduction of healthcare BPO and fraud identity management software
      • 5.1.3.2. Integration of advanced analytics, artificial intelligence (AI) and, machine learning (ML) in healthcare fraud analytics software
    • 5.1.4. Challenges
      • 5.1.4.1. Limitations pertaining to the use of healthcare fraud analytics software and services
  • 5.2. Market Segmentation Analysis
  • 5.3. Porter's Five Forces Analysis
    • 5.3.1. Threat of New Entrants
    • 5.3.2. Threat of Substitutes
    • 5.3.3. Bargaining Power of Customers
    • 5.3.4. Bargaining Power of Suppliers
    • 5.3.5. Industry Rivalry
  • 5.4. PESTLE Analysis
    • 5.4.1. Political
    • 5.4.2. Economic
    • 5.4.3. Social
    • 5.4.4. Technological
    • 5.4.5. Legal
    • 5.4.6. Environmental

6. Healthcare Fraud Analytics Market, by Solution Type

  • 6.1. Introduction
  • 6.2. Descriptive Analytics
  • 6.3. Predictive Analytics
  • 6.4. Prescriptive Analytics

7. Healthcare Fraud Analytics Market, by Delivery Model

  • 7.1. Introduction
  • 7.2. On-Demand
  • 7.3. On-Premise

8. Healthcare Fraud Analytics Market, by Application

  • 8.1. Introduction
  • 8.2. Insurance Claims Review
    • 8.2.1. Post payment Review
    • 8.2.2. Prepayment Review
  • 8.3. Payment Integrity
  • 8.4. Pharmacy Billing Misuse

9. Healthcare Fraud Analytics Market, by End-User

  • 9.1. Introduction
  • 9.2. Employers
  • 9.3. Private Insurance Payers
  • 9.4. Public & Government Agencies
  • 9.5. Third-party service providers

10. Americas Healthcare Fraud Analytics Market

  • 10.1. Introduction
  • 10.2. Argentina
  • 10.3. Brazil
  • 10.4. Canada
  • 10.5. Mexico
  • 10.6. United States

11. Asia-Pacific Healthcare Fraud Analytics Market

  • 11.1. Introduction
  • 11.2. Australia
  • 11.3. China
  • 11.4. India
  • 11.5. Indonesia
  • 11.6. Japan
  • 11.7. Malaysia
  • 11.8. Philippines
  • 11.9. Singapore
  • 11.10. South Korea
  • 11.11. Taiwan
  • 11.12. Thailand
  • 11.13. Vietnam

12. Europe, Middle East & Africa Healthcare Fraud Analytics Market

  • 12.1. Introduction
  • 12.2. Denmark
  • 12.3. Egypt
  • 12.4. Finland
  • 12.5. France
  • 12.6. Germany
  • 12.7. Israel
  • 12.8. Italy
  • 12.9. Netherlands
  • 12.10. Nigeria
  • 12.11. Norway
  • 12.12. Poland
  • 12.13. Qatar
  • 12.14. Russia
  • 12.15. Saudi Arabia
  • 12.16. South Africa
  • 12.17. Spain
  • 12.18. Sweden
  • 12.19. Switzerland
  • 12.20. Turkey
  • 12.21. United Arab Emirates
  • 12.22. United Kingdom

13. Competitive Landscape

  • 13.1. Market Share Analysis, 2023
  • 13.2. FPNV Positioning Matrix, 2023
  • 13.3. Competitive Scenario Analysis
    • 13.3.1. Huize Announces Strategic Partnership with Ping An Health Insurance and the Joint Launch of "Chang Xiang An" - A Customized Long-term Medical Insurance Product
    • 13.3.2. ACKO Acquires Digital Health Platform Parentlane To Expand Beyond Core Insurance Offerings
    • 13.3.3. Amazon completes $3.9B acquisition of One Medical
    • 13.3.4. Paul Merchants partners with Care Health Insurance
    • 13.3.5. Reliance General Insurance partners with Paytm to offer customisable health policy
    • 13.3.6. Healthcos Are Accumulating Patents Aggressively In Electronic Records And Personalized Medicine
    • 13.3.7. SBI General Insurance launches new health insurance vertical
    • 13.3.8. Health insurance startup ClaimBuddy raises $3 million in funding
    • 13.3.9. AI-Powered Dental Insurance Fraud, Waste and Abuse Detection AI System
  • 13.4. Strategy Analysis & Recommendation

Companies Mentioned

  • 1. Atos SE
  • 2. CGI Inc.
  • 3. Change Healthcare Inc.
  • 4. Claroty Ltd.
  • 5. Codoxo, Inc.
  • 6. Conduent, Inc.
  • 7. Coviti, Inc.
  • 8. DXC Technology Company
  • 9. ExlService Holdings, Inc.
  • 10. Fair Isaac Corporation
  • 11. Fortified Health Security
  • 12. FraudLens Inc.
  • 13. FRISS
  • 14. H2O.ai, Inc.
  • 15. HCL Technologies Ltd.
  • 16. Healthcare fraud Shield
  • 17. Hewlett Packard Enterprise Development LP
  • 18. Imperva, Inc.
  • 19. Intel Corporation
  • 20. International Business Machines Corporation
  • 21. LexisNexis Risk Solutions Group
  • 22. Mckesson Corporation
  • 23. Multuplan Corporaton
  • 24. Northrop Grumman Corporation
  • 25. OneSpan Inc.
  • 26. OSP Labs
  • 27. Pondera Solutions
  • 28. Qlarant Inc.
  • 29. RELX Group Plc
  • 30. SAS Institute Inc.
  • 31. Sharecare, Inc.
  • 32. United Health Group Incorporated
  • 33. Wipro Limited

LIST OF FIGURES

  • FIGURE 1. HEALTHCARE FRAUD ANALYTICS MARKET RESEARCH PROCESS
  • FIGURE 2. HEALTHCARE FRAUD ANALYTICS MARKET SIZE, 2023 VS 2030
  • FIGURE 3. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, 2018-2030 (USD MILLION)
  • FIGURE 4. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY REGION, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 5. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 6. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY SOLUTION TYPE, 2023 VS 2030 (%)
  • FIGURE 7. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY SOLUTION TYPE, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 8. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY DELIVERY MODEL, 2023 VS 2030 (%)
  • FIGURE 9. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY DELIVERY MODEL, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 10. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY APPLICATION, 2023 VS 2030 (%)
  • FIGURE 11. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY APPLICATION, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 12. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY END-USER, 2023 VS 2030 (%)
  • FIGURE 13. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY END-USER, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 14. AMERICAS HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
  • FIGURE 15. AMERICAS HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 16. UNITED STATES HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY STATE, 2023 VS 2030 (%)
  • FIGURE 17. UNITED STATES HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY STATE, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 18. ASIA-PACIFIC HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
  • FIGURE 19. ASIA-PACIFIC HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 20. EUROPE, MIDDLE EAST & AFRICA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
  • FIGURE 21. EUROPE, MIDDLE EAST & AFRICA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 22. HEALTHCARE FRAUD ANALYTICS MARKET SHARE, BY KEY PLAYER, 2023
  • FIGURE 23. HEALTHCARE FRAUD ANALYTICS MARKET, FPNV POSITIONING MATRIX, 2023

LIST OF TABLES

  • TABLE 1. HEALTHCARE FRAUD ANALYTICS MARKET SEGMENTATION & COVERAGE
  • TABLE 2. UNITED STATES DOLLAR EXCHANGE RATE, 2018-2023
  • TABLE 3. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, 2018-2030 (USD MILLION)
  • TABLE 4. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 5. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 6. HEALTHCARE FRAUD ANALYTICS MARKET DYNAMICS
  • TABLE 7. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY SOLUTION TYPE, 2018-2030 (USD MILLION)
  • TABLE 8. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY DESCRIPTIVE ANALYTICS, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 9. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY PREDICTIVE ANALYTICS, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 10. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY PRESCRIPTIVE ANALYTICS, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 11. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY DELIVERY MODEL, 2018-2030 (USD MILLION)
  • TABLE 12. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY ON-DEMAND, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 13. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY ON-PREMISE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 14. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 15. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY INSURANCE CLAIMS REVIEW, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 16. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY POST PAYMENT REVIEW, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 17. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY PREPAYMENT REVIEW, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 18. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY INSURANCE CLAIMS REVIEW, 2018-2030 (USD MILLION)
  • TABLE 19. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY PAYMENT INTEGRITY, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 20. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY PHARMACY BILLING MISUSE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 21. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 22. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY EMPLOYERS, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 23. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY PRIVATE INSURANCE PAYERS, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 24. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY PUBLIC & GOVERNMENT AGENCIES, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 25. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY THIRD-PARTY SERVICE PROVIDERS, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 26. AMERICAS HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY SOLUTION TYPE, 2018-2030 (USD MILLION)
  • TABLE 27. AMERICAS HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY DELIVERY MODEL, 2018-2030 (USD MILLION)
  • TABLE 28. AMERICAS HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 29. AMERICAS HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY INSURANCE CLAIMS REVIEW, 2018-2030 (USD MILLION)
  • TABLE 30. AMERICAS HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 31. AMERICAS HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 32. ARGENTINA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY SOLUTION TYPE, 2018-2030 (USD MILLION)
  • TABLE 33. ARGENTINA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY DELIVERY MODEL, 2018-2030 (USD MILLION)
  • TABLE 34. ARGENTINA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 35. ARGENTINA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY INSURANCE CLAIMS REVIEW, 2018-2030 (USD MILLION)
  • TABLE 36. ARGENTINA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 37. BRAZIL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY SOLUTION TYPE, 2018-2030 (USD MILLION)
  • TABLE 38. BRAZIL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY DELIVERY MODEL, 2018-2030 (USD MILLION)
  • TABLE 39. BRAZIL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 40. BRAZIL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY INSURANCE CLAIMS REVIEW, 2018-2030 (USD MILLION)
  • TABLE 41. BRAZIL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 42. CANADA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY SOLUTION TYPE, 2018-2030 (USD MILLION)
  • TABLE 43. CANADA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY DELIVERY MODEL, 2018-2030 (USD MILLION)
  • TABLE 44. CANADA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 45. CANADA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY INSURANCE CLAIMS REVIEW, 2018-2030 (USD MILLION)
  • TABLE 46. CANADA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 47. MEXICO HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY SOLUTION TYPE, 2018-2030 (USD MILLION)
  • TABLE 48. MEXICO HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY DELIVERY MODEL, 2018-2030 (USD MILLION)
  • TABLE 49. MEXICO HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 50. MEXICO HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY INSURANCE CLAIMS REVIEW, 2018-2030 (USD MILLION)
  • TABLE 51. MEXICO HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 52. UNITED STATES HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY SOLUTION TYPE, 2018-2030 (USD MILLION)
  • TABLE 53. UNITED STATES HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY DELIVERY MODEL, 2018-2030 (USD MILLION)
  • TABLE 54. UNITED STATES HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 55. UNITED STATES HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY INSURANCE CLAIMS REVIEW, 2018-2030 (USD MILLION)
  • TABLE 56. UNITED STATES HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 57. UNITED STATES HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY STATE, 2018-2030 (USD MILLION)
  • TABLE 58. ASIA-PACIFIC HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY SOLUTION TYPE, 2018-2030 (USD MILLION)
  • TABLE 59. ASIA-PACIFIC HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY DELIVERY MODEL, 2018-2030 (USD MILLION)
  • TABLE 60. ASIA-PACIFIC HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 61. ASIA-PACIFIC HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY INSURANCE CLAIMS REVIEW, 2018-2030 (USD MILLION)
  • TABLE 62. ASIA-PACIFIC HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 63. ASIA-PACIFIC HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 64. AUSTRALIA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY SOLUTION TYPE, 2018-2030 (USD MILLION)
  • TABLE 65. AUSTRALIA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY DELIVERY MODEL, 2018-2030 (USD MILLION)
  • TABLE 66. AUSTRALIA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 67. AUSTRALIA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY INSURANCE CLAIMS REVIEW, 2018-2030 (USD MILLION)
  • TABLE 68. AUSTRALIA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 69. CHINA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY SOLUTION TYPE, 2018-2030 (USD MILLION)
  • TABLE 70. CHINA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY DELIVERY MODEL, 2018-2030 (USD MILLION)
  • TABLE 71. CHINA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 72. CHINA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY INSURANCE CLAIMS REVIEW, 2018-2030 (USD MILLION)
  • TABLE 73. CHINA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 74. INDIA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY SOLUTION TYPE, 2018-2030 (USD MILLION)
  • TABLE 75. INDIA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY DELIVERY MODEL, 2018-2030 (USD MILLION)
  • TABLE 76. INDIA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 77. INDIA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY INSURANCE CLAIMS REVIEW, 2018-2030 (USD MILLION)
  • TABLE 78. INDIA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 79. INDONESIA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY SOLUTION TYPE, 2018-2030 (USD MILLION)
  • TABLE 80. INDONESIA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY DELIVERY MODEL, 2018-2030 (USD MILLION)
  • TABLE 81. INDONESIA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 82. INDONESIA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY INSURANCE CLAIMS REVIEW, 2018-2030 (USD MILLION)
  • TABLE 83. INDONESIA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 84. JAPAN HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY SOLUTION TYPE, 2018-2030 (USD MILLION)
  • TABLE 85. JAPAN HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY DELIVERY MODEL, 2018-2030 (USD MILLION)
  • TABLE 86. JAPAN HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 87. JAPAN HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY INSURANCE CLAIMS REVIEW, 2018-2030 (USD MILLION)
  • TABLE 88. JAPAN HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 89. MALAYSIA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY SOLUTION TYPE, 2018-2030 (USD MILLION)
  • TABLE 90. MALAYSIA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY DELIVERY MODEL, 2018-2030 (USD MILLION)
  • TABLE 91. MALAYSIA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 92. MALAYSIA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY INSURANCE CLAIMS REVIEW, 2018-2030 (USD MILLION)
  • TABLE 93. MALAYSIA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 94. PHILIPPINES HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY SOLUTION TYPE, 2018-2030 (USD MILLION)
  • TABLE 95. PHILIPPINES HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY DELIVERY MODEL, 2018-2030 (USD MILLION)
  • TABLE 96. PHILIPPINES HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 97. PHILIPPINES HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY INSURANCE CLAIMS REVIEW, 2018-2030 (USD MILLION)
  • TABLE 98. PHILIPPINES HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 99. SINGAPORE HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY SOLUTION TYPE, 2018-2030 (USD MILLION)
  • TABLE 100. SINGAPORE HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY DELIVERY MODEL, 2018-2030 (USD MILLION)
  • TABLE 101. SINGAPORE HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 102. SINGAPORE HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY INSURANCE CLAIMS REVIEW, 2018-2030 (USD MILLION)
  • TABLE 103. SINGAPORE HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 104. SOUTH KOREA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY SOLUTION TYPE, 2018-2030 (USD MILLION)
  • TABLE 105. SOUTH KOREA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY DELIVERY MODEL, 2018-2030 (USD MILLION)
  • TABLE 106. SOUTH KOREA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 107. SOUTH KOREA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY INSURANCE CLAIMS REVIEW, 2018-2030 (USD MILLION)
  • TABLE 108. SOUTH KOREA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 109. TAIWAN HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY SOLUTION TYPE, 2018-2030 (USD MILLION)
  • TABLE 110. TAIWAN HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY DELIVERY MODEL, 2018-2030 (USD MILLION)
  • TABLE 111. TAIWAN HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 112. TAIWAN HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY INSURANCE CLAIMS REVIEW, 2018-2030 (USD MILLION)
  • TABLE 113. TAIWAN HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 114. THAILAND HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY SOLUTION TYPE, 2018-2030 (USD MILLION)
  • TABLE 115. THAILAND HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY DELIVERY MODEL, 2018-2030 (USD MILLION)
  • TABLE 116. THAILAND HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 117. THAILAND HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY INSURANCE CLAIMS REVIEW, 2018-2030 (USD MILLION)
  • TABLE 118. THAILAND HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 119. VIETNAM HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY SOLUTION TYPE, 2018-2030 (USD MILLION)
  • TABLE 120. VIETNAM HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY DELIVERY MODEL, 2018-2030 (USD MILLION)
  • TABLE 121. VIETNAM HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 122. VIETNAM HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY INSURANCE CLAIMS REVIEW, 2018-2030 (USD MILLION)
  • TABLE 123. VIETNAM HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 124. EUROPE, MIDDLE EAST & AFRICA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY SOLUTION TYPE, 2018-2030 (USD MILLION)
  • TABLE 125. EUROPE, MIDDLE EAST & AFRICA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY DELIVERY MODEL, 2018-2030 (USD MILLION)
  • TABLE 126. EUROPE, MIDDLE EAST & AFRICA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 127. EUROPE, MIDDLE EAST & AFRICA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY INSURANCE CLAIMS REVIEW, 2018-2030 (USD MILLION)
  • TABLE 128. EUROPE, MIDDLE EAST & AFRICA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 129. EUROPE, MIDDLE EAST & AFRICA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 130. DENMARK HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY SOLUTION TYPE, 2018-2030 (USD MILLION)
  • TABLE 131. DENMARK HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY DELIVERY MODEL, 2018-2030 (USD MILLION)
  • TABLE 132. DENMARK HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 133. DENMARK HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY INSURANCE CLAIMS REVIEW, 2018-2030 (USD MILLION)
  • TABLE 134. DENMARK HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 135. EGYPT HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY SOLUTION TYPE, 2018-2030 (USD MILLION)
  • TABLE 136. EGYPT HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY DELIVERY MODEL, 2018-2030 (USD MILLION)
  • TABLE 137. EGYPT HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 138. EGYPT HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY INSURANCE CLAIMS REVIEW, 2018-2030 (USD MILLION)
  • TABLE 139. EGYPT HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 140. FINLAND HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY SOLUTION TYPE, 2018-2030 (USD MILLION)
  • TABLE 141. FINLAND HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY DELIVERY MODEL, 2018-2030 (USD MILLION)
  • TABLE 142. FINLAND HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 143. FINLAND HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY INSURANCE CLAIMS REVIEW, 2018-2030 (USD MILLION)
  • TABLE 144. FINLAND HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 145. FRANCE HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY SOLUTION TYPE, 2018-2030 (USD MILLION)
  • TABLE 146. FRANCE HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY DELIVERY MODEL, 2018-2030 (USD MILLION)
  • TABLE 147. FRANCE HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 148. FRANCE HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY INSURANCE CLAIMS REVIEW, 2018-2030 (USD MILLION)
  • TABLE 149. FRANCE HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 150. GERMANY HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY SOLUTION TYPE, 2018-2030 (USD MILLION)
  • TABLE 151. GERMANY HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY DELIVERY MODEL, 2018-2030 (USD MILLION)
  • TABLE 152. GERMANY HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 153. GERMANY HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY INSURANCE CLAIMS REVIEW, 2018-2030 (USD MILLION)
  • TABLE 154. GERMANY HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 155. ISRAEL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY SOLUTION TYPE, 2018-2030 (USD MILLION)
  • TABLE 156. ISRAEL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY DELIVERY MODEL, 2018-2030 (USD MILLION)
  • TABLE 157. ISRAEL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 158. ISRAEL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY INSURANCE CLAIMS REVIEW, 2018-2030 (USD MILLION)
  • TABLE 159. ISRAEL HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 160. ITALY HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY SOLUTION TYPE, 2018-2030 (USD MILLION)
  • TABLE 161. ITALY HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY DELIVERY MODEL, 2018-2030 (USD MILLION)
  • TABLE 162. ITALY HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 163. ITALY HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY INSURANCE CLAIMS REVIEW, 2018-2030 (USD MILLION)
  • TABLE 164. ITALY HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 165. NETHERLANDS HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY SOLUTION TYPE, 2018-2030 (USD MILLION)
  • TABLE 166. NETHERLANDS HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY DELIVERY MODEL, 2018-2030 (USD MILLION)
  • TABLE 167. NETHERLANDS HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 168. NETHERLANDS HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY INSURANCE CLAIMS REVIEW, 2018-2030 (USD MILLION)
  • TABLE 169. NETHERLANDS HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 170. NIGERIA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY SOLUTION TYPE, 2018-2030 (USD MILLION)
  • TABLE 171. NIGERIA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY DELIVERY MODEL, 2018-2030 (USD MILLION)
  • TABLE 172. NIGERIA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 173. NIGERIA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY INSURANCE CLAIMS REVIEW, 2018-2030 (USD MILLION)
  • TABLE 174. NIGERIA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 175. NORWAY HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY SOLUTION TYPE, 2018-2030 (USD MILLION)
  • TABLE 176. NORWAY HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY DELIVERY MODEL, 2018-2030 (USD MILLION)
  • TABLE 177. NORWAY HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 178. NORWAY HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY INSURANCE CLAIMS REVIEW, 2018-2030 (USD MILLION)
  • TABLE 179. NORWAY HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 180. POLAND HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY SOLUTION TYPE, 2018-2030 (USD MILLION)
  • TABLE 181. POLAND HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY DELIVERY MODEL, 2018-2030 (USD MILLION)
  • TABLE 182. POLAND HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 183. POLAND HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY INSURANCE CLAIMS REVIEW, 2018-2030 (USD MILLION)
  • TABLE 184. POLAND HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 185. QATAR HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY SOLUTION TYPE, 2018-2030 (USD MILLION)
  • TABLE 186. QATAR HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY DELIVERY MODEL, 2018-2030 (USD MILLION)
  • TABLE 187. QATAR HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 188. QATAR HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY INSURANCE CLAIMS REVIEW, 2018-2030 (USD MILLION)
  • TABLE 189. QATAR HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 190. RUSSIA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY SOLUTION TYPE, 2018-2030 (USD MILLION)
  • TABLE 191. RUSSIA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY DELIVERY MODEL, 2018-2030 (USD MILLION)
  • TABLE 192. RUSSIA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 193. RUSSIA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY INSURANCE CLAIMS REVIEW, 2018-2030 (USD MILLION)
  • TABLE 194. RUSSIA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 195. SAUDI ARABIA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY SOLUTION TYPE, 2018-2030 (USD MILLION)
  • TABLE 196. SAUDI ARABIA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY DELIVERY MODEL, 2018-2030 (USD MILLION)
  • TABLE 197. SAUDI ARABIA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 198. SAUDI ARABIA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY INSURANCE CLAIMS REVIEW, 2018-2030 (USD MILLION)
  • TABLE 199. SAUDI ARABIA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 200. SOUTH AFRICA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY SOLUTION TYPE, 2018-2030 (USD MILLION)
  • TABLE 201. SOUTH AFRICA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY DELIVERY MODEL, 2018-2030 (USD MILLION)
  • TABLE 202. SOUTH AFRICA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 203. SOUTH AFRICA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY INSURANCE CLAIMS REVIEW, 2018-2030 (USD MILLION)
  • TABLE 204. SOUTH AFRICA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 205. SPAIN HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY SOLUTION TYPE, 2018-2030 (USD MILLION)
  • TABLE 206. SPAIN HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY DELIVERY MODEL, 2018-2030 (USD MILLION)
  • TABLE 207. SPAIN HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 208. SPAIN HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY INSURANCE CLAIMS REVIEW, 2018-2030 (USD MILLION)
  • TABLE 209. SPAIN HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 210. SWEDEN HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY SOLUTION TYPE, 2018-2030 (USD MILLION)
  • TABLE 211. SWEDEN HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY DELIVERY MODEL, 2018-2030 (USD MILLION)
  • TABLE 212. SWEDEN HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 213. SWEDEN HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY INSURANCE CLAIMS REVIEW, 2018-2030 (USD MILLION)
  • TABLE 214. SWEDEN HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 215. SWITZERLAND HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY SOLUTION TYPE, 2018-2030 (USD MILLION)
  • TABLE 216. SWITZERLAND HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY DELIVERY MODEL, 2018-2030 (USD MILLION)
  • TABLE 217. SWITZERLAND HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 218. SWITZERLAND HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY INSURANCE CLAIMS REVIEW, 2018-2030 (USD MILLION)
  • TABLE 219. SWITZERLAND HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 220. TURKEY HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY SOLUTION TYPE, 2018-2030 (USD MILLION)
  • TABLE 221. TURKEY HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY DELIVERY MODEL, 2018-2030 (USD MILLION)
  • TABLE 222. TURKEY HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 223. TURKEY HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY INSURANCE CLAIMS REVIEW, 2018-2030 (USD MILLION)
  • TABLE 224. TURKEY HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 225. UNITED ARAB EMIRATES HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY SOLUTION TYPE, 2018-2030 (USD MILLION)
  • TABLE 226. UNITED ARAB EMIRATES HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY DELIVERY MODEL, 2018-2030 (USD MILLION)
  • TABLE 227. UNITED ARAB EMIRATES HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 228. UNITED ARAB EMIRATES HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY INSURANCE CLAIMS REVIEW, 2018-2030 (USD MILLION)
  • TABLE 229. UNITED ARAB EMIRATES HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 230. UNITED KINGDOM HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY SOLUTION TYPE, 2018-2030 (USD MILLION)
  • TABLE 231. UNITED KINGDOM HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY DELIVERY MODEL, 2018-2030 (USD MILLION)
  • TABLE 232. UNITED KINGDOM HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 233. UNITED KINGDOM HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY INSURANCE CLAIMS REVIEW, 2018-2030 (USD MILLION)
  • TABLE 234. UNITED KINGDOM HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 235. HEALTHCARE FRAUD ANALYTICS MARKET SHARE, BY KEY PLAYER, 2023
  • TABLE 236. HEALTHCARE FRAUD ANALYTICS MARKET, FPNV POSITIONING MATRIX, 2023