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市场调查报告书
商品编码
1590938

医疗保健诈欺分析市场：按解决方案类型、交付模式、应用程式、最终用户 - 2025-2030 年全球预测

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个工作天内

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2023年医疗诈欺分析市值为69.2亿美元，预计2024年将达到81.8亿美元，复合年增长率为19.61%，预计到2030年将达到242.7亿美元。

医疗保健诈欺分析是指使用先进​​的资料分析工具和技术来检测、预防和减轻医疗保健系统中的诈欺行为。它包括各种分析技术，例如预测建模、机器学习和资料探勘，旨在识别虚假申请、申请和其他非法贸易。医疗诈欺分析的需求源于日益增加的诈欺负担，每年对医疗保健系统造成数十亿美元的损失，使资源紧张，并增加患者和提供者的成本。医疗保健诈欺分析具有广泛的应用，包括保险公司、政府机构和医疗保健提供者，他们依靠这些工具来保护业务免受诈欺。就最终用途而言，这些分析解决方案对于保险公司、医疗保健 IT 公司和负责监控医疗保健成本的监管机构至关重要。

主要市场统计
基准年[2023] 69.2亿美元
预测年份 [2024] 81.8亿美元
预测年份 [2030] 242.7亿美元
复合年增长率（%） 19.61%

主要的成长要素是人工智慧和机器学习的进步，提高了诈欺侦测系统的准确性。此外，医疗记录和申请资料日益数位化化为分析应用提供了大量资料集。此外，监管压力和不断增加的诈欺案例正在推动市场需求。将这些系统与即时分析和云端解决方案整合以提高可访问性和处理速度存在机会。对保护敏感资料的网路安全措施的投资也指出了一条成长之路。

挑战包括资料隐私问题、需要强有力的保护以防止违规，以及将分析解决方案与现有医疗保健IT基础设施整合的复杂性。您还需要熟练的人员来管理和解释高级分析输出。创新应侧重于开发用户友好的介面并减少诈欺检测系统中的误报。对自适应学习技术的持续研究也可以提高系统的准确性和效率。该市场的特点是技术快速进步，众多参与者竞相提供尖端解决方案，创造了一个适合创新和策略合作的竞争和动态环境。对自我调整智慧和互通性的关注将有助于企业在这个不断变化的市场环境中建立强大的地位。

市场动态：揭示快速发展的医疗诈欺分析市场的关键市场洞察

医疗保健诈欺分析市场正在因供需的动态交互作用而转变。了解这些不断变化的市场动态可以帮助企业做出明智的投资决策、策略决策并抓住新的商机。全面了解这些趋势可以帮助企业降低政治、地理、技术、社会和经济领域的风险，同时也能帮助企业了解消费行为及其对製造业的影响。

  • 市场驱动因素
    • 医疗保健领域的诈欺行为增加
    • 扩大引进全球医疗保险体系
    • 有效追踪医疗保健领域诈欺和滥用行为的需求日益增加
  • 市场限制因素
    • 与医疗保健诈欺分析服务相关的高成本
  • 市场机会
    • 医疗保健 BPO 和诈欺ID 管理软体简介
    • 将高级分析、人工智慧 (AI) 和机器学习 (ML) 整合到医疗诈欺分析软体中
  • 市场挑战
    • 医疗诈欺分析软体和服务的使用限制

波特五力：驾驭医疗诈欺分析市场的策略工具

波特的五力架构是了解医疗诈欺分析市场竞争格局的关键工具。波特的五力框架为评估公司的竞争地位和探索策略机会提供了清晰的方法。该框架可帮助公司评估市场动态并确定新业务的盈利。这些见解使公司能够利用自己的优势，解决弱点并避免潜在的挑战，从而确保更强大的市场地位。

PESTLE分析：了解医疗诈欺分析市场的外部影响

外部宏观环境因素在塑造医疗诈欺分析市场的绩效动态方面发挥着至关重要的作用。对政治、经济、社会、技术、法律和环境因素的分析提供了应对这些影响所需的资讯。透过调查 PESTLE 因素，公司可以更了解潜在的风险和机会。这种分析可以帮助公司预测法规、消费者偏好和经济趋势的变化，并帮助他们做出积极主动的决策。

市场占有率分析 了解医疗诈欺分析市场的竞争格局

对医疗诈欺分析市场的详细市场占有率分析可以对供应商绩效进行全面评估。公司可以透过比较收益、客户群和成长率等关键指标来揭示其竞争地位。该分析揭示了市场集中、分散和整合的趋势，为供应商提供了製定策略决策所需的见解，以应对日益激烈的竞争。

FPNV 定位矩阵医疗保健诈欺分析供应商的市场绩效评估

FPNV 定位矩阵是评估医疗诈欺分析市场供应商的关键工具。此矩阵允许业务组织根据商务策略和产品满意度评估供应商，从而做出与其目标相符的明智决策。这四个象限使您能够清晰、准确地划分供应商，并确定最能满足您的策略目标的合作伙伴和解决方案。

策略分析和建议绘製医疗诈欺分析市场的成功之路

对于旨在加强其在全球市场的影响力的公司来说，对医疗保健诈欺分析市场的策略分析至关重要。透过审查关键资源、能力和绩效指标，公司可以识别成长机会并努力改进。这种方法使您能够克服竞争环境中的挑战，利用新的商机并取得长期成功。

本报告对市场进行了全面分析，涵盖关键重点领域：

1. 市场渗透率：详细检视当前市场环境、主要企业的广泛资料、评估其在市场中的影响力和整体影响力。

2. 市场开拓：辨识新兴市场的成长机会，评估现有领域的扩张潜力，并提供未来成长的策略蓝图。

3. 市场多元化：分析近期产品发布、开拓地区、关键产业进展、塑造市场的策略投资。

4. 竞争评估与情报：彻底分析竞争格局，检验市场占有率、业务策略、产品系列、认证、监理核准、专利趋势、主要企业的技术进步等。

5. 产品开发与创新：重点在于有望推动未来市场成长的最尖端科技、研发活动和产品创新。

我们也回答重要问题，帮助相关人员做出明智的决策：

1.目前的市场规模和未来的成长预测是多少？

2. 哪些产品、区隔市场和地区提供最佳投资机会？

3.塑造市场的主要技术趋势和监管影响是什么？

4.主要厂商的市场占有率和竞争地位如何？

5. 推动供应商市场进入和退出策略的收益来源和策略机会是什么？

目录

第一章 前言

第二章调查方法

第三章执行摘要

第四章市场概况

第五章市场洞察

  • 市场动态
    • 促进因素
      • 医疗保健领域的诈欺行为增加
      • 全球健康保险计划的采用率增加
      • 有效追踪医疗保健领域诈欺和诈欺的需求日益增长
    • 抑制因素
      • 与医疗诈欺分析服务相关的高成本
    • 机会
      • 医疗保健 BPO 和诈欺ID 管理软体简介
      • 将高级分析、人工智慧 (AI) 和机器学习 (ML) 整合到医疗诈欺分析软体中
    • 任务
      • 医疗诈欺分析软体和服务的使用限制
  • 市场区隔分析
  • 波特五力分析
  • PESTEL分析
    • 政治的
    • 经济
    • 社群
    • 技术的
    • 合法地
    • 环境

第 6 章按解决方案类型分類的医疗诈欺分析市场

  • 说明分析
  • 预测分析
  • 指示性分析

第七章按交付模式分類的医疗诈欺分析市场

  • 一经请求
  • 本地

第八章医疗诈欺分析市场：依应用分类

  • 保险申请审查
    • 付款后查看
    • 预付款审核
  • 付款诚信
  • 药房申请诈欺

第九章医疗诈欺分析市场：依最终用户分类

  • 雇主
  • 私人保险付款人
  • 公共和政府机构
  • 第三方服务供应商

第10章美洲医疗诈欺分析市场

  • 阿根廷
  • 巴西
  • 加拿大
  • 墨西哥
  • 美国

第十一章亚太医疗诈欺分析市场

  • 澳洲
  • 中国
  • 印度
  • 印尼
  • 日本
  • 马来西亚
  • 菲律宾
  • 新加坡
  • 韩国
  • 台湾
  • 泰国
  • 越南

第十二章欧洲、中东和非洲的医疗诈欺分析市场

  • 丹麦
  • 埃及
  • 芬兰
  • 法国
  • 德国
  • 以色列
  • 义大利
  • 荷兰
  • 奈及利亚
  • 挪威
  • 波兰
  • 卡达
  • 俄罗斯
  • 沙乌地阿拉伯
  • 南非
  • 西班牙
  • 瑞典
  • 瑞士
  • 土耳其
  • 阿拉伯聯合大公国
  • 英国

第十三章竞争格局

  • 2023 年市场占有率分析
  • FPNV 定位矩阵，2023
  • 竞争情境分析
    • 慧泽宣布与平安健康险达成策略合作，共同推出客製化长期医疗保险产品“畅享安”
    • ACKO 收购数位健康平台 Parentlane 以拓展核心保险服务范围
    • 亚马逊以 39 亿美元完成对 One Medical 的收购
    • Paul Merchants 与 Care Health Insurance 合作
    • Reliance 产物保险与 Paytm 合作提供可客製化的健康保险
    • 医疗公司正在积极累积电子记录和个人化医疗领域的专利。
    • SBI产物保险推出新的医疗保险业务
    • 健康保险Start-UpsClaimBuddy资金筹措
    • 使用人工智慧的牙科保险诈骗、浪费和滥用检测人工智慧系统
  • 战略分析和建议

公司名单

  • 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