시장보고서
상품코드
2019548

의료 사기 분석 시장 규모, 점유율, 동향 및 성장 분석 보고서(2026-2034년)

Global Healthcare Fraud Analytics Market Size, Share, Trends & Growth Analysis Report 2026-2034

발행일: | 리서치사: 구분자 Value Market Research | 페이지 정보: 영문 174 Pages | 배송안내 : 1-2일 (영업일 기준)

    
    
    




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한글목차
영문목차
※ 본 상품은 영문 자료로 한글과 영문 목차에 불일치하는 내용이 있을 경우 영문을 우선합니다. 정확한 검토를 위해 영문 목차를 참고해주시기 바랍니다.

의료 사기 분석 시장 규모는 2025년 42억 5,000만 달러에서 2034년에는 307억 8,000만 달러에 달할 것으로 예상되고, 2026년부터 2034년까지 CAGR 24.61%로 성장할 것으로 전망됩니다.

세계 의료 사기 분석 시장은 의료 분야에서의 부정행위와 금전적 손실에 대한 우려가 높아지면서 빠르게 성장하고 있습니다. 사기 분석 솔루션은 부정 청구 및 청구 관행을 탐지, 예방, 관리하는데 도움이 됩니다. 의료 시스템의 복잡성 증가와 디지털 의료 솔루션의 도입 증가가 시장 확대를 견인하는 주요 요인으로 작용하고 있습니다. 또한, 부정 방지와 관련된 규제 요건도 시장 성장을 뒷받침하고 있습니다.

주요 성장 요인으로는 데이터 분석, 인공지능, 머신러닝의 발전으로 부정 패턴 탐지 능력을 향상시키는 데이터 분석, 인공지능, 머신러닝을 꼽을 수 있습니다. 의료 데이터의 증가와 효율적인 리스크 관리의 필요성도 시장 성장에 기여하고 있습니다. 또한, 비용 절감과 업무 효율화에 대한 관심이 높아지면서 의료기관의 부정행위 분석 솔루션 도입이 증가하고 있습니다. 의료 부정행위를 줄이기 위한 정부의 노력도 시장의 발전을 더욱 촉진하고 있습니다.

향후 의료 부정 분석 시장은 지속적인 기술 발전과 부정 방지에 대한 인식이 높아짐에 따라 크게 성장할 것으로 예상됩니다. 실시간 분석과 예측 모델링의 발전으로 그 기능은 더욱 강화될 것입니다. 신흥시장에서는 의료시스템이 정비되고 있기 때문에 큰 성장 기회가 있을 것으로 예상됩니다. 또한, 디지털 헬스 기술에 대한 지속적인 투자가 시장 확대를 견인할 것입니다.

목차

제1장 소개

제2장 주요 요약

제3장 시장 변수, 동향, 프레임워크

제4장 세계의 의료 사기 분석 시장 : 솔루션 유형별

제5장 세계의 의료 사기 분석 시장 : 전개 방식별

제6장 세계의 의료 사기 분석 시장 : 용도별

제7장 세계의 의료 사기 분석 시장 : 최종사용별

제8장 세계의 의료 사기 분석 시장 : 지역별

제9장 경쟁 구도

제10장 기업 개요

KSM 26.05.08

The Healthcare Fraud Analytics Market size is expected to reach USD 30.78 Billion in 2034 from USD 4.25 Billion (2025) growing at a CAGR of 24.61% during 2026-2034.

The global healthcare fraud analytics market is experiencing rapid growth due to increasing concerns about fraudulent activities and financial losses in the healthcare sector. Fraud analytics solutions help detect, prevent, and manage fraudulent claims and billing practices. The growing complexity of healthcare systems and the rising adoption of digital healthcare solutions are key factors driving market expansion. Additionally, regulatory requirements for fraud prevention are supporting market growth.

Key growth drivers include advancements in data analytics, artificial intelligence, and machine learning, which enhance the detection of fraudulent patterns. The increasing volume of healthcare data and the need for efficient risk management are also contributing to market growth. Furthermore, the rising focus on cost containment and operational efficiency is encouraging healthcare organizations to adopt fraud analytics solutions. Government initiatives aimed at reducing healthcare fraud are further supporting market development.

Looking ahead, the healthcare fraud analytics market is expected to grow significantly with continuous technological advancements and increasing awareness about fraud prevention. The development of real-time analytics and predictive modeling will further enhance capabilities. Emerging markets are anticipated to provide substantial growth opportunities due to improving healthcare systems. Additionally, ongoing investments in digital health technologies will drive market expansion.

Our reports are meticulously crafted to provide clients with comprehensive and actionable insights into various industries and markets. Each report encompasses several critical components to ensure a thorough understanding of the market landscape:

Market Overview: A detailed introduction to the market, including definitions, classifications, and an overview of the industry's current state.

Market Dynamics: In-depth analysis of key drivers, restraints, opportunities, and challenges influencing market growth. This section examines factors such as technological advancements, regulatory changes, and emerging trends.

Segmentation Analysis: Breakdown of the market into distinct segments based on criteria like product type, application, end-user, and geography. This analysis highlights the performance and potential of each segment.

Competitive Landscape: Comprehensive assessment of major market players, including their market share, product portfolio, strategic initiatives, and financial performance. This section provides insights into the competitive dynamics and key strategies adopted by leading companies.

Market Forecast: Projections of market size and growth trends over a specified period, based on historical data and current market conditions. This includes quantitative analyses and graphical representations to illustrate future market trajectories.

Regional Analysis: Evaluation of market performance across different geographical regions, identifying key markets and regional trends. This helps in understanding regional market dynamics and opportunities.

Emerging Trends and Opportunities: Identification of current and emerging market trends, technological innovations, and potential areas for investment. This section offers insights into future market developments and growth prospects.

MARKET SEGMENTATION

By Solution Type

  • Descriptive Analytics
  • Prescriptive Analytics
  • Predictive Analytics

By Deployment Mode

  • On-premises
  • Cloud-based

By Application

  • Insurance Claims Review
  • Postpayment Review
  • Prepayment Review
  • Pharmacy Billing Issue
  • Payment Integrity
  • Other Applications

By End-use

  • Healthcare Providers
  • Insurance Companies
  • Government Organizations
  • Other End-users

COMPANIES PROFILED

  • CGI Inc, Change Healthcare, Conduent Incorporated, Cotiviti Inc, DXC Technology Company, EPIC, ExlService Holdings Inc, Fair Isaac Corporation, HCL Technologies Limited, IBM Corporation, LexisNexis Risk Solutions, Optum Inc, Qlarant Commercial Solutions Inc, SAS Institute Inc, Wipro Limited
  • We can customise the report as per your requirements.

TABLE OF CONTENTS

Chapter 1. PREFACE

  • 1.1. Market Segmentation & Scope
  • 1.2. Market Definition
  • 1.3. Information Procurement
    • 1.3.1 Information Analysis
    • 1.3.2 Market Formulation & Data Visualization
    • 1.3.3 Data Validation & Publishing
  • 1.4. Research Scope and Assumptions
    • 1.4.1 List of Data Sources

Chapter 2. EXECUTIVE SUMMARY

  • 2.1. Market Snapshot
  • 2.2. Segmental Outlook
  • 2.3. Competitive Outlook

Chapter 3. MARKET VARIABLES, TRENDS, FRAMEWORK

  • 3.1. Market Lineage Outlook
  • 3.2. Penetration & Growth Prospect Mapping
  • 3.3. Value Chain Analysis
  • 3.4. Regulatory Framework
    • 3.4.1 Standards & Compliance
    • 3.4.2 Regulatory Impact Analysis
  • 3.5. Market Dynamics
    • 3.5.1 Market Drivers
    • 3.5.2 Market Restraints
    • 3.5.3 Market Opportunities
    • 3.5.4 Market Challenges
  • 3.6. Porter's Five Forces Analysis
  • 3.7. PESTLE Analysis

Chapter 4. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET: BY SOLUTION TYPE 2022-2034 (USD MN)

  • 4.1. Market Analysis, Insights and Forecast Solution Type
  • 4.2. Descriptive Analytics Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 4.3. Prescriptive Analytics Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 4.4. Predictive Analytics Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 5. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET: BY DEPLOYMENT MODE 2022-2034 (USD MN)

  • 5.1. Market Analysis, Insights and Forecast Deployment Mode
  • 5.2. On-premises Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 5.3. Cloud-based Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 6. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET: BY APPLICATION 2022-2034 (USD MN)

  • 6.1. Market Analysis, Insights and Forecast Application
  • 6.2. Insurance Claims Review Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 6.3. Postpayment Review Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 6.4. Prepayment Review Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 6.5. Pharmacy Billing Issue Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 6.6. Payment Integrity Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 6.7. Other Applications Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 7. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET: BY END-USE 2022-2034 (USD MN)

  • 7.1. Market Analysis, Insights and Forecast End-use
  • 7.2. Healthcare Providers Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 7.3. Insurance Companies Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 7.4. Government Organizations Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 7.5. Other End-users Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 8. GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET: BY REGION 2022-2034 (USD MN)

  • 8.1. Regional Outlook
  • 8.2. North America Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
    • 8.2.1 By Solution Type
    • 8.2.2 By Deployment Mode
    • 8.2.3 By Application
    • 8.2.4 By End-use
    • 8.2.5 United States
    • 8.2.6 Canada
    • 8.2.7 Mexico
  • 8.3. Europe Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
    • 8.3.1 By Solution Type
    • 8.3.2 By Deployment Mode
    • 8.3.3 By Application
    • 8.3.4 By End-use
    • 8.3.5 United Kingdom
    • 8.3.6 France
    • 8.3.7 Germany
    • 8.3.8 Italy
    • 8.3.9 Russia
    • 8.3.10 Rest Of Europe
  • 8.4. Asia-Pacific Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
    • 8.4.1 By Solution Type
    • 8.4.2 By Deployment Mode
    • 8.4.3 By Application
    • 8.4.4 By End-use
    • 8.4.5 India
    • 8.4.6 Japan
    • 8.4.7 South Korea
    • 8.4.8 Australia
    • 8.4.9 South East Asia
    • 8.4.10 Rest Of Asia Pacific
  • 8.5. Latin America Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
    • 8.5.1 By Solution Type
    • 8.5.2 By Deployment Mode
    • 8.5.3 By Application
    • 8.5.4 By End-use
    • 8.5.5 Brazil
    • 8.5.6 Argentina
    • 8.5.7 Peru
    • 8.5.8 Chile
    • 8.5.9 Rest of Latin America
  • 8.6. Middle East & Africa Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
    • 8.6.1 By Solution Type
    • 8.6.2 By Deployment Mode
    • 8.6.3 By Application
    • 8.6.4 By End-use
    • 8.6.5 Saudi Arabia
    • 8.6.6 UAE
    • 8.6.7 Israel
    • 8.6.8 South Africa
    • 8.6.9 Rest of the Middle East And Africa

Chapter 9. COMPETITIVE LANDSCAPE

  • 9.1. Recent Developments
  • 9.2. Company Categorization
  • 9.3. Supply Chain & Channel Partners (based on availability)
  • 9.4. Market Share & Positioning Analysis (based on availability)
  • 9.5. Vendor Landscape (based on availability)
  • 9.6. Strategy Mapping

Chapter 10. COMPANY PROFILES OF GLOBAL HEALTHCARE FRAUD ANALYTICS INDUSTRY

  • 10.1. Top Companies Market Share Analysis
  • 10.2. Company Profiles
    • 10.2.1 CGI Inc
    • 10.2.2 Change Healthcare
    • 10.2.3 Conduent Incorporated
    • 10.2.4 Cotiviti Inc
    • 10.2.5 DXC Technology Company
    • 10.2.6 EPIC
    • 10.2.7 ExlService Holdings Inc
    • 10.2.8 Fair Isaac Corporation
    • 10.2.9 HCL Technologies Limited
    • 10.2.10 IBM Corporation
    • 10.2.11 LexisNexis Risk Solutions
    • 10.2.12 Optum Inc
    • 10.2.13 Qlarant Commercial Solutions Inc
    • 10.2.14 SAS Institute Inc
    • 10.2.15 Wipro Limited
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