Medical Fraud Detection Management Market Insights, Competitive Landscape, and Market Forecast - 2033
상품코드:1919677
리서치사:Fairfield Market Research
발행일:2026년 01월
페이지 정보:영문 200 Pages
라이선스 & 가격 (부가세 별도)
한글목차
세계의 의료 사기 탐지 관리 시장은 의료 제공업체, 보험 회사, 정부 기관이 사기 행위 탐지와 방지에 주력하는 움직임이 강해지는 가운데 급속한 성장을 이루고 있습니다. 시장 규모는 2026년 27억 달러에서 2033년까지 57억 달러로 확대되며, 예측 기간 동안 CAGR은 11.40%로 예측됩니다. 이 성장은 인공지능(AI), 머신러닝(ML), 클라우드 컴퓨팅 등 첨단기술의 채용 확대에 힘입어, 이러한 기술을 통해 조직은 방대한 의료 데이터를 분석하고 효율적으로 사기를 감지할 수 있습니다.
의료 보험 청구 사기, 의료 제공업체에 의한 사기, 환자에 의한 사기, 약국 사기를 포함한 의료 사기는 의료 산업에 중요한 과제입니다. 이러한 사기 행위는 엄청난 금전적 손실을 초래할 뿐만 아니라 환자 관리와 신뢰에도 부정적인 영향을 미칩니다. 고급 사기 탐지 관리 솔루션의 도입으로 조직은 청구에서 의심스러운 점을 파악하고 위험을 사전 평가하고 규제 기준을 준수할 수 있습니다.
시장 인사이트
의료 사기 탐지 관리 시장은 의료 업무의 복잡화와 사기 행위의 급증으로 빠르게 진화하고 있습니다. 조직은 거래 모니터링, 행동 패턴 분석 및 예방 조치를 구현하기 위해 데이터 중심 솔루션을 점점 더 활용하고 있습니다.
기술적 분석, 예측 분석 및 처방적 분석을 포함한 소프트웨어 솔루션은 사기 감지 전략의 핵심입니다. 기술적 분석은 과거의 사기 활동 패턴을 이해하는 데 도움이 되며, 예측 분석은 잠재적인 사기를 예측하고, 처방적 분석은 위험 완화를 위한 실행 가능한 제안을 제공합니다. 소프트웨어 외에도 컨설팅, 통합 및 관리 서비스와 같은 서비스 제공은 효과적인 사기 관리 전략을 구현하는 데 도움이 됩니다.
도입 동향으로는 확장성, 비용 효율성, 기존 시스템과의 통합 용이성을 갖춘 클라우드 기반 솔루션에 대한 선호가 높아지고 있습니다. 그러나 엄격한 데이터 보안 요구사항이나 규제 제약이 있는 조직에서는 On-Premise 솔루션의 중요성은 여전히 변하지 않습니다.
시장 성장 촉진요인
의료 사기 탐지 관리 시장의 성장을 견인하는 몇 가지 주요 요인이 있습니다. 첫째, 세계 의료 시스템에서 사기 행위의 확산은 고급 감지 및 방지 도구의 긴급한 필요성을 창출하고 있습니다. 보험금 청구 사기만으로도 업계에 연간 수십억 달러의 손실을 가져오고 있으며, 지불자와 공급자가 자동화 솔루션에 대한 투자를 촉구하는 요인이 되고 있습니다.
둘째, AI와 머신러닝 기술의 발전으로 사기 감지의 정확성이 크게 향상되었습니다. 예측 모델은 청구 내용 및 의료 제공업체의 행동에서 이상을 식별할 수 있으며, 처방형 솔루션은 위험 완화 및 프로세스 개선을 위한 제안을 제공합니다.
셋째, 규제 당국의 감시 강화와 컴플라이언스 요건의 엄격화로 조직은 종합적인 사기 감지 시스템의 도입을 강요하고 있습니다. 세계 각국의 의료 당국은 재무 손실 최소화, 투명성 확보, 환자 신뢰 보호를 목적으로 한 엄격한 지침을 수립 중입니다.
마지막으로 전자건강기록(EHR)과 자동청구처리를 포함한 의료업무의 디지털화가 진전하고 있어 실시간 사기 감시가 용이해지고 있습니다. 디지털 시스템은 원활한 데이터 분석을 가능하게 하여 의심스러운 활동의 조기 발견과 적시 개입을 실현합니다.
비즈니스 기회
의료 사기 탐지 관리 시장은 기술 공급자, 보험 회사 및 의료 기관에 큰 비즈니스 기회를 제공합니다. AI를 활용한 분석, 클라우드 기반 플랫폼, 매니지드 서비스를 제공하는 기업은 증가하는 수요를 파악할 수 있습니다.
또한 사기 감지 및 컴플라이언스 관리, 위험 평가 및 지불 회수를 통합한 솔루션을 제공할 수 있습니다. 이러한 종합적인 플랫폼은 조직의 업무 복잡성을 줄이고 효율성을 향상시키는 데 도움이 됩니다.
기술 공급자, 보험 회사 및 의료 제공업체 간의 전략적 제휴로 솔루션의 보급 범위가 확대되고 도입이 촉진될 것으로 예측됩니다. 또한 비용 억제, 예방 의학 및 업무 투명성에 대한 관심 증가는 진화하는 시장 요구에 대응하는 혁신적인 서비스 제공 기회를 창출하고 있습니다.
지역별 분석
북미는 의료 사기 발생률, 고도의 규제 프레임워크, 첨단 기술의 조기 도입으로 시장을 주도할 것으로 예측됩니다. 이 지역에는 주요 기술 벤더와 보험 회사가 거점을 두고 있으며, 이것이 시장 성장을 더욱 뒷받침합니다.
유럽에서는 정부 주도의 시책과 디지털 의료의 도입이 사기 감지 솔루션 수요를 견인해 꾸준한 성장이 예상됩니다. 아시아태평양은 의료비 증가, 보험 적용 범위 확대, AI 구동 솔루션의 도입 증가를 배경으로 고성장 지역으로 자리매김하고 있습니다.
라틴아메리카 및 중동 및 아프리카는 신흥 시장이며 조직이 결제 무결성을 높이고 재무 손실을 줄이기 위해 사기 탐지 관리 시스템을 도입했습니다. 의료 사기에 대한 인식 증가와 디지털화의 진전이 이러한 지역에서 시장 확대를 지원하는 주요 요인입니다.
주요 기업
세계의 의료 사기 탐지 관리 시장은 경쟁이 치열하여 여러 확립 기업들이 첨단 솔루션과 서비스를 제공합니다. 주요 시장 진출기업은 다음과 같습니다.
IBM Corporation(IBM Watson Health/IBM Analytics)
SAS Institute Inc.
Oracle Corporation
Microsoft Corporation
Optum, Inc.(UnitedHealth Group)
McKesson Corporation
Change Healthcare(part of UnitedHealth Group)
Verisk Health(Verisk Analytics)
Cognizant Technology Solutions
HCL Technologies
Accenture plc
DXC Technology
FICO(Fair Isaac Corporation)
Experian Health
Cerner Corporation
이러한 기업들은 AI, 머신러닝, 예측 분석, 클라우드 기반 플랫폼의 혁신에 주력하고 시장 지위를 강화하고 효율적인 사기 감지에 대한 수요 증가에 대응하고 있습니다.
시장 세분화
세계의 의료 사기 탐지 관리 시장은 다음과 같이 구분됩니다.
구성 요소별:
소프트웨어
서비스
솔루션 유형별:
기술적 분석
예측 분석
처방 분석
도입 모드별:
클라우드 기반
On-Premise
사기 유형별 :
보험금 청구 사기
프로바이더 사기
환자 사기
약국 사기
최종 사용자별:
공적 및 민간 보험 지불자
의료 제공업체
제3자 관리 기관(TPA)
정부기관
용도별:
청구 심사 및 사전 지불 감사
지불의 적정성 및 회수
리스크 평가 및 컴플라이언스
지역별:
북미
유럽
아시아태평양
라틴아메리카
중동 및 아프리카
목차
제1장 주요 요약
제2장 시장 개요
시장 정의와 세분화
시장 역학
밸류체인 분석
COVID-19의 영향 분석
Porter's Five Forces 분석
러시아 우크라이나 분쟁의 영향
PESTLE 분석
규제 분석
가격 동향 분석
제3장 세계의 의료 사기 검출 관리 시장 전망, 2020-2033년
세계의 의료 사기 검출 관리 시장 전망 : 컴포넌트별, 금액(10억 달러), 2020-2033년
소프트웨어
서비스
세계의 의료 사기 검출 관리 시장 전망 : 솔루션 유형별, 금액(10억 달러), 2020-2033년
기술적 분석
예측적 분석
처방적 분석
세계의 의료 사기 검출 관리 시장 전망 : 도입 모드별, 금액(10억 달러), 2020-2033년
클라우드 기반
On-Premise
세계의 의료 사기 검출 관리 시장 전망 : 사기 유형별, 금액(10억 달러), 2020-2033년
보험금 사기
프로바이더 사기
환자 사기
약국 사기
세계의 의료 사기 검출 관리 시장 전망 : 최종 사용자별, 금액(10억 달러), 2020-2033년
공적 및 민간 보험 지불자
의료 제공업체
타사 관리자(TPA)
정부기관
세계의 의료 사기 검출 관리 시장 전망 : 지역별, 금액(10억 달러), 2020-2033년
북미
유럽
아시아태평양
라틴아메리카
중동 및 아프리카
제4장 북미의 의료 사기 검출 관리 시장 전망, 2020-2033년
제5장 유럽의 의료 사기 검출 관리 시장 전망, 2020-2033년
제6장 아시아태평양의 의료 사기 검출 관리 시장 전망, 2020-2033년
제7장 라틴아메리카의 의료 사기 검출 관리 시장 전망, 2020-2033년
제8장 중동 및 아프리카의 의료 사기 검출 관리 시장 전망, 2020-2033년
제9장 경쟁 구도
기업 대 부문 히트맵
기업의 시장 점유율 분석, 2025년
경쟁 대시보드
기업 프로파일
IBM Corporation(IBM Watson Health/IBM Analytics)
SAS Institute Inc.
Oracle Corporation
Microsoft Corporation
Optum, Inc.(UnitedHealth Group)
McKesson Corporation
Change Healthcare(part of UnitedHealth Group)
Verisk Health(Verisk Analytics)
Cognizant Technology Solutions
HCL Technologies
제10장 부록
JHS
영문 목차
영문목차
The global Medical Fraud Detection Management Market is experiencing rapid growth as healthcare providers, insurers, and government agencies increasingly focus on detecting and preventing fraudulent activities. The market is expected to expand from USD 2.7 billion in 2026 to USD 5.7 billion by 2033, growing at a CAGR of 11.40% during the forecast period. This growth is fueled by the increasing adoption of advanced technologies, such as artificial intelligence (AI), machine learning (ML), and cloud computing, which enable organizations to analyze vast amounts of healthcare data and detect fraud efficiently.
Medical fraud, including insurance claims fraud, provider fraud, patient fraud, and pharmacy fraud, represents a significant challenge for the healthcare industry. Such fraudulent activities not only result in substantial financial losses but also impact patient care and trust. The adoption of sophisticated fraud detection management solutions allows organizations to identify irregularities in claims, assess risks proactively, and ensure compliance with regulatory standards.
Market Insights
The market for medical fraud detection management is evolving rapidly due to the growing complexity of healthcare operations and the surge in fraudulent activities. Organizations are increasingly leveraging data-driven solutions to monitor transactions, analyze behavioral patterns, and implement preventive measures.
Software solutions, including descriptive, predictive, and prescriptive analytics, are central to fraud detection strategies. Descriptive analytics helps organizations understand historical patterns of fraudulent activities, predictive analytics forecasts potential fraud, and prescriptive analytics provides actionable recommendations to mitigate risks. Alongside software, service offerings-including consulting, integration, and managed services-support organizations in implementing effective fraud management strategies.
Deployment trends indicate a growing preference for cloud-based solutions, which offer scalability, cost-efficiency, and ease of integration with existing systems. However, on-premise solutions remain relevant for organizations with strict data security requirements or regulatory constraints.
Market Drivers
Several key factors are driving the growth of the medical fraud detection management market. First, the prevalence of fraudulent activities in healthcare systems worldwide has created a pressing need for advanced detection and prevention tools. Insurance claims fraud alone costs the industry billions of dollars annually, motivating payers and providers to invest in automated solutions.
Second, advancements in AI and ML technologies have significantly enhanced fraud detection accuracy. Predictive models can identify anomalies in claims and provider behavior, while prescriptive solutions offer recommendations for risk mitigation and process improvement.
Third, increasing regulatory scrutiny and compliance mandates are compelling organizations to adopt comprehensive fraud detection systems. Healthcare authorities across the globe are establishing stringent guidelines to minimize financial losses, ensure transparency, and safeguard patient trust.
Finally, the ongoing digitization of healthcare operations-including electronic health records (EHRs) and automated claims processing-is facilitating real-time fraud monitoring. Digital systems allow for seamless data analysis, enabling early detection of suspicious activities and timely intervention.
Business Opportunities
The medical fraud detection management market offers significant business opportunities for technology providers, insurance companies, and healthcare organizations. Companies delivering AI-powered analytics, cloud-based platforms, and managed services can capitalize on growing demand.
There is also potential in offering integrated solutions that combine fraud detection with compliance management, risk assessment, and payment recovery. Such comprehensive platforms help organizations reduce operational complexity and improve efficiency.
Strategic partnerships between technology providers, insurers, and healthcare providers are expected to expand solution reach and drive adoption. Furthermore, the increasing focus on cost containment, preventive care, and operational transparency creates opportunities for innovative offerings that address evolving market needs.
Regional Analysis
North America is projected to dominate the market due to the high incidence of healthcare fraud, robust regulatory frameworks, and early adoption of advanced technologies. The region is home to leading technology vendors and insurance providers, which further supports market growth.
Europe is expected to register steady growth as government initiatives and digital healthcare adoption drive the demand for fraud detection solutions. Asia Pacific represents a high-growth region, fueled by rising healthcare expenditures, expanding insurance coverage, and increasing deployment of AI-driven solutions.
Latin America and the Middle East & Africa are emerging markets where organizations are adopting fraud detection management systems to enhance payment integrity and reduce financial losses. Growing awareness of healthcare fraud and increased digitization are major factors supporting market expansion in these regions.
Key Players
The global medical fraud detection management market is competitive, with several established players offering advanced solutions and services. Major participants include:
IBM Corporation (IBM Watson Health / IBM Analytics)
SAS Institute Inc.
Oracle Corporation
Microsoft Corporation
Optum, Inc. (UnitedHealth Group)
McKesson Corporation
Change Healthcare (part of UnitedHealth Group)
Verisk Health (Verisk Analytics)
Cognizant Technology Solutions
HCL Technologies
Accenture plc
DXC Technology
FICO (Fair Isaac Corporation)
Experian Health
Cerner Corporation
These companies are focusing on innovation in AI, machine learning, predictive analytics, and cloud-based platforms to strengthen their market position and meet the growing demand for efficient fraud detection.
Market Segmentation
The global medical fraud detection management market can be segmented as follows:
By Component:
Software
Services
By Solution Type:
Descriptive Analytics
Predictive Analytics
Prescriptive Analytics
By Deployment Mode:
Cloud-based
On-premise
By Fraud Type:
Insurance Claims Fraud
Provider Fraud
Patient Fraud
Pharmacy Fraud
By End User:
Public & Private Insurance Payers
Healthcare Providers
Third-party Administrators (TPAs)
Government Agencies
By Application:
Claims Review & Prepayment Audits
Payment Integrity & Recovery
Risk Assessment & Compliance
By Region:
North America
Europe
Asia Pacific
Latin America
Middle East & Africa
Table of Contents
1. Executive Summary
1.1. Global Medical Fraud Detection Management Market Snapshot
1.2. Future Projections
1.3. Key Market Trends
1.4. Regional Snapshot, by Value, 2026
1.5. Analyst Recommendations
2. Market Overview
2.1. Market Definitions and Segmentations
2.2. Market Dynamics
2.2.1. Drivers
2.2.2. Restraints
2.2.3. Market Opportunities
2.3. Value Chain Analysis
2.4. COVID-19 Impact Analysis
2.5. Porter's Fiver Forces Analysis
2.6. Impact of Russia-Ukraine Conflict
2.7. PESTLE Analysis
2.8. Regulatory Analysis
2.9. Price Trend Analysis
2.9.1. Current Prices and Future Projections, 2025-2033
2.9.2. Price Impact Factors
3. Global Medical Fraud Detection Management Market Outlook, 2020 - 2033
3.1. Global Medical Fraud Detection Management Market Outlook, by Component, Value (US$ Bn), 2020-2033
3.1.1. Software
3.1.2. Services
3.2. Global Medical Fraud Detection Management Market Outlook, by Solution Type, Value (US$ Bn), 2020-2033
3.2.1. Descriptive Analytics
3.2.2. Predictive Analytics
3.2.3. Prescriptive Analytics
3.3. Global Medical Fraud Detection Management Market Outlook, by Deployment Mode, Value (US$ Bn), 2020-2033
3.3.1. Cloud-based
3.3.2. On-premise
3.4. Global Medical Fraud Detection Management Market Outlook, by Fraud Type, Value (US$ Bn), 2020-2033
3.4.1. Insurance Claims Fraud
3.4.2. Provider Fraud
3.4.3. Patient Fraud
3.4.4. Pharmacy Fraud
3.5. Global Medical Fraud Detection Management Market Outlook, by End User, Value (US$ Bn), 2020-2033
3.5.1. Public & Private Insurance Payers
3.5.2. Healthcare Providers
3.5.3. Third-party Administrators (TPAs)
3.5.4. Government Agencies
3.6. Global Medical Fraud Detection Management Market Outlook, by Region, Value (US$ Bn), 2020-2033
3.6.1. North America
3.6.2. Europe
3.6.3. Asia Pacific
3.6.4. Latin America
3.6.5. Middle East & Africa
4. North America Medical Fraud Detection Management Market Outlook, 2020 - 2033
4.1. North America Medical Fraud Detection Management Market Outlook, by Component, Value (US$ Bn), 2020-2033
4.1.1. Software
4.1.2. Services
4.2. North America Medical Fraud Detection Management Market Outlook, by Solution Type, Value (US$ Bn), 2020-2033
4.2.1. Descriptive Analytics
4.2.2. Predictive Analytics
4.2.3. Prescriptive Analytics
4.3. North America Medical Fraud Detection Management Market Outlook, by Deployment Mode, Value (US$ Bn), 2020-2033
4.3.1. Cloud-based
4.3.2. On-premise
4.4. North America Medical Fraud Detection Management Market Outlook, by Fraud Type, Value (US$ Bn), 2020-2033
4.4.1. Insurance Claims Fraud
4.4.2. Provider Fraud
4.4.3. Patient Fraud
4.4.4. Pharmacy Fraud
4.5. North America Medical Fraud Detection Management Market Outlook, by End User, Value (US$ Bn), 2020-2033
4.5.1. Public & Private Insurance Payers
4.5.2. Healthcare Providers
4.5.3. Third-party Administrators (TPAs)
4.5.4. Government Agencies
4.6. North America Medical Fraud Detection Management Market Outlook, by Country, Value (US$ Bn), 2020-2033
4.6.1. U.S. Medical Fraud Detection Management Market Outlook, by Component, 2020-2033
4.6.2. U.S. Medical Fraud Detection Management Market Outlook, by Solution Type, 2020-2033
4.6.3. U.S. Medical Fraud Detection Management Market Outlook, by Deployment Mode, 2020-2033
4.6.4. U.S. Medical Fraud Detection Management Market Outlook, by Fraud Type, 2020-2033
4.6.5. U.S. Medical Fraud Detection Management Market Outlook, by End User, 2020-2033
4.6.6. Canada Medical Fraud Detection Management Market Outlook, by Component, 2020-2033
4.6.7. Canada Medical Fraud Detection Management Market Outlook, by Solution Type, 2020-2033
4.6.8. Canada Medical Fraud Detection Management Market Outlook, by Deployment Mode, 2020-2033
4.6.9. Canada Medical Fraud Detection Management Market Outlook, by Fraud Type, 2020-2033
4.6.10. Canada Medical Fraud Detection Management Market Outlook, by End User, 2020-2033
4.7. BPS Analysis/Market Attractiveness Analysis
5. Europe Medical Fraud Detection Management Market Outlook, 2020 - 2033
5.1. Europe Medical Fraud Detection Management Market Outlook, by Component, Value (US$ Bn), 2020-2033
5.1.1. Software
5.1.2. Services
5.2. Europe Medical Fraud Detection Management Market Outlook, by Solution Type, Value (US$ Bn), 2020-2033
5.2.1. Descriptive Analytics
5.2.2. Predictive Analytics
5.2.3. Prescriptive Analytics
5.3. Europe Medical Fraud Detection Management Market Outlook, by Deployment Mode, Value (US$ Bn), 2020-2033
5.3.1. Cloud-based
5.3.2. On-premise
5.4. Europe Medical Fraud Detection Management Market Outlook, by Fraud Type, Value (US$ Bn), 2020-2033
5.4.1. Insurance Claims Fraud
5.4.2. Provider Fraud
5.4.3. Patient Fraud
5.4.4. Pharmacy Fraud
5.5. Europe Medical Fraud Detection Management Market Outlook, by End User, Value (US$ Bn), 2020-2033
5.5.1. Public & Private Insurance Payers
5.5.2. Healthcare Providers
5.5.3. Third-party Administrators (TPAs)
5.5.4. Government Agencies
5.6. Europe Medical Fraud Detection Management Market Outlook, by Country, Value (US$ Bn), 2020-2033
5.6.1. Germany Medical Fraud Detection Management Market Outlook, by Component, 2020-2033
5.6.2. Germany Medical Fraud Detection Management Market Outlook, by Solution Type, 2020-2033
5.6.3. Germany Medical Fraud Detection Management Market Outlook, by Deployment Mode, 2020-2033
5.6.4. Germany Medical Fraud Detection Management Market Outlook, by Fraud Type, 2020-2033
5.6.5. Germany Medical Fraud Detection Management Market Outlook, by End User, 2020-2033
5.6.6. Italy Medical Fraud Detection Management Market Outlook, by Component, 2020-2033
5.6.7. Italy Medical Fraud Detection Management Market Outlook, by Solution Type, 2020-2033
5.6.8. Italy Medical Fraud Detection Management Market Outlook, by Deployment Mode, 2020-2033
5.6.9. Italy Medical Fraud Detection Management Market Outlook, by Fraud Type, 2020-2033
5.6.10. Italy Medical Fraud Detection Management Market Outlook, by End User, 2020-2033
5.6.11. France Medical Fraud Detection Management Market Outlook, by Component, 2020-2033
5.6.12. France Medical Fraud Detection Management Market Outlook, by Solution Type, 2020-2033
5.6.13. France Medical Fraud Detection Management Market Outlook, by Deployment Mode, 2020-2033
5.6.14. France Medical Fraud Detection Management Market Outlook, by Fraud Type, 2020-2033
5.6.15. France Medical Fraud Detection Management Market Outlook, by End User, 2020-2033
5.6.16. U.K. Medical Fraud Detection Management Market Outlook, by Component, 2020-2033
5.6.17. U.K. Medical Fraud Detection Management Market Outlook, by Solution Type, 2020-2033
5.6.18. U.K. Medical Fraud Detection Management Market Outlook, by Deployment Mode, 2020-2033
5.6.19. U.K. Medical Fraud Detection Management Market Outlook, by Fraud Type, 2020-2033
5.6.20. U.K. Medical Fraud Detection Management Market Outlook, by End User, 2020-2033
5.6.21. Spain Medical Fraud Detection Management Market Outlook, by Component, 2020-2033
5.6.22. Spain Medical Fraud Detection Management Market Outlook, by Solution Type, 2020-2033
5.6.23. Spain Medical Fraud Detection Management Market Outlook, by Deployment Mode, 2020-2033
5.6.24. Spain Medical Fraud Detection Management Market Outlook, by Fraud Type, 2020-2033
5.6.25. Spain Medical Fraud Detection Management Market Outlook, by End User, 2020-2033
5.6.26. Russia Medical Fraud Detection Management Market Outlook, by Component, 2020-2033
5.6.27. Russia Medical Fraud Detection Management Market Outlook, by Solution Type, 2020-2033
5.6.28. Russia Medical Fraud Detection Management Market Outlook, by Deployment Mode, 2020-2033
5.6.29. Russia Medical Fraud Detection Management Market Outlook, by Fraud Type, 2020-2033
5.6.30. Russia Medical Fraud Detection Management Market Outlook, by End User, 2020-2033
5.6.31. Rest of Europe Medical Fraud Detection Management Market Outlook, by Component, 2020-2033
5.6.32. Rest of Europe Medical Fraud Detection Management Market Outlook, by Solution Type, 2020-2033
5.6.33. Rest of Europe Medical Fraud Detection Management Market Outlook, by Deployment Mode, 2020-2033
5.6.34. Rest of Europe Medical Fraud Detection Management Market Outlook, by Fraud Type, 2020-2033
5.6.35. Rest of Europe Medical Fraud Detection Management Market Outlook, by End User, 2020-2033
5.7. BPS Analysis/Market Attractiveness Analysis
6. Asia Pacific Medical Fraud Detection Management Market Outlook, 2020 - 2033
6.1. Asia Pacific Medical Fraud Detection Management Market Outlook, by Component, Value (US$ Bn), 2020-2033
6.1.1. Software
6.1.2. Services
6.2. Asia Pacific Medical Fraud Detection Management Market Outlook, by Solution Type, Value (US$ Bn), 2020-2033
6.2.1. Descriptive Analytics
6.2.2. Predictive Analytics
6.2.3. Prescriptive Analytics
6.3. Asia Pacific Medical Fraud Detection Management Market Outlook, by Deployment Mode, Value (US$ Bn), 2020-2033
6.3.1. Cloud-based
6.3.2. On-premise
6.4. Asia Pacific Medical Fraud Detection Management Market Outlook, by Fraud Type, Value (US$ Bn), 2020-2033
6.4.1. Insurance Claims Fraud
6.4.2. Provider Fraud
6.4.3. Patient Fraud
6.4.4. Pharmacy Fraud
6.5. Asia Pacific Medical Fraud Detection Management Market Outlook, by End User, Value (US$ Bn), 2020-2033
6.5.1. Public & Private Insurance Payers
6.5.2. Healthcare Providers
6.5.3. Third-party Administrators (TPAs)
6.5.4. Government Agencies
6.6. Asia Pacific Medical Fraud Detection Management Market Outlook, by Country, Value (US$ Bn), 2020-2033
6.6.1. China Medical Fraud Detection Management Market Outlook, by Component, 2020-2033
6.6.2. China Medical Fraud Detection Management Market Outlook, by Solution Type, 2020-2033
6.6.3. China Medical Fraud Detection Management Market Outlook, by Deployment Mode, 2020-2033
6.6.4. China Medical Fraud Detection Management Market Outlook, by Fraud Type, 2020-2033
6.6.5. China Medical Fraud Detection Management Market Outlook, by End User, 2020-2033
6.6.6. Japan Medical Fraud Detection Management Market Outlook, by Component, 2020-2033
6.6.7. Japan Medical Fraud Detection Management Market Outlook, by Solution Type, 2020-2033
6.6.8. Japan Medical Fraud Detection Management Market Outlook, by Deployment Mode, 2020-2033
6.6.9. Japan Medical Fraud Detection Management Market Outlook, by Fraud Type, 2020-2033
6.6.10. Japan Medical Fraud Detection Management Market Outlook, by End User, 2020-2033
6.6.11. South Korea Medical Fraud Detection Management Market Outlook, by Component, 2020-2033
6.6.12. South Korea Medical Fraud Detection Management Market Outlook, by Solution Type, 2020-2033
6.6.13. South Korea Medical Fraud Detection Management Market Outlook, by Deployment Mode, 2020-2033
6.6.14. South Korea Medical Fraud Detection Management Market Outlook, by Fraud Type, 2020-2033
6.6.15. South Korea Medical Fraud Detection Management Market Outlook, by End User, 2020-2033
6.6.16. India Medical Fraud Detection Management Market Outlook, by Component, 2020-2033
6.6.17. India Medical Fraud Detection Management Market Outlook, by Solution Type, 2020-2033
6.6.18. India Medical Fraud Detection Management Market Outlook, by Deployment Mode, 2020-2033
6.6.19. India Medical Fraud Detection Management Market Outlook, by Fraud Type, 2020-2033
6.6.20. India Medical Fraud Detection Management Market Outlook, by End User, 2020-2033
6.6.21. Southeast Asia Medical Fraud Detection Management Market Outlook, by Component, 2020-2033
6.6.22. Southeast Asia Medical Fraud Detection Management Market Outlook, by Solution Type, 2020-2033
6.6.23. Southeast Asia Medical Fraud Detection Management Market Outlook, by Deployment Mode, 2020-2033
6.6.24. Southeast Asia Medical Fraud Detection Management Market Outlook, by Fraud Type, 2020-2033
6.6.25. Southeast Asia Medical Fraud Detection Management Market Outlook, by End User, 2020-2033
6.6.26. Rest of SAO Medical Fraud Detection Management Market Outlook, by Component, 2020-2033
6.6.27. Rest of SAO Medical Fraud Detection Management Market Outlook, by Solution Type, 2020-2033
6.6.28. Rest of SAO Medical Fraud Detection Management Market Outlook, by Deployment Mode, 2020-2033
6.6.29. Rest of SAO Medical Fraud Detection Management Market Outlook, by Fraud Type, 2020-2033
6.6.30. Rest of SAO Medical Fraud Detection Management Market Outlook, by End User, 2020-2033
6.7. BPS Analysis/Market Attractiveness Analysis
7. Latin America Medical Fraud Detection Management Market Outlook, 2020 - 2033
7.1. Latin America Medical Fraud Detection Management Market Outlook, by Component, Value (US$ Bn), 2020-2033
7.1.1. Software
7.1.2. Services
7.2. Latin America Medical Fraud Detection Management Market Outlook, by Solution Type, Value (US$ Bn), 2020-2033
7.2.1. Descriptive Analytics
7.2.2. Predictive Analytics
7.2.3. Prescriptive Analytics
7.3. Latin America Medical Fraud Detection Management Market Outlook, by Deployment Mode, Value (US$ Bn), 2020-2033
7.3.1. Cloud-based
7.3.2. On-premise
7.4. Latin America Medical Fraud Detection Management Market Outlook, by Fraud Type, Value (US$ Bn), 2020-2033
7.4.1. Insurance Claims Fraud
7.4.2. Provider Fraud
7.4.3. Patient Fraud
7.4.4. Pharmacy Fraud
7.5. Latin America Medical Fraud Detection Management Market Outlook, by End User, Value (US$ Bn), 2020-2033
7.5.1. Public & Private Insurance Payers
7.5.2. Healthcare Providers
7.5.3. Third-party Administrators (TPAs)
7.5.4. Government Agencies
7.6. Latin America Medical Fraud Detection Management Market Outlook, by Country, Value (US$ Bn), 2020-2033
7.6.1. Brazil Medical Fraud Detection Management Market Outlook, by Component, 2020-2033
7.6.2. Brazil Medical Fraud Detection Management Market Outlook, by Solution Type, 2020-2033
7.6.3. Brazil Medical Fraud Detection Management Market Outlook, by Deployment Mode, 2020-2033
7.6.4. Brazil Medical Fraud Detection Management Market Outlook, by Fraud Type, 2020-2033
7.6.5. Brazil Medical Fraud Detection Management Market Outlook, by End User, 2020-2033
7.6.6. Mexico Medical Fraud Detection Management Market Outlook, by Component, 2020-2033
7.6.7. Mexico Medical Fraud Detection Management Market Outlook, by Solution Type, 2020-2033
7.6.8. Mexico Medical Fraud Detection Management Market Outlook, by Deployment Mode, 2020-2033
7.6.9. Mexico Medical Fraud Detection Management Market Outlook, by Fraud Type, 2020-2033
7.6.10. Mexico Medical Fraud Detection Management Market Outlook, by End User, 2020-2033
7.6.11. Argentina Medical Fraud Detection Management Market Outlook, by Component, 2020-2033
7.6.12. Argentina Medical Fraud Detection Management Market Outlook, by Solution Type, 2020-2033
7.6.13. Argentina Medical Fraud Detection Management Market Outlook, by Deployment Mode, 2020-2033
7.6.14. Argentina Medical Fraud Detection Management Market Outlook, by Fraud Type, 2020-2033
7.6.15. Argentina Medical Fraud Detection Management Market Outlook, by End User, 2020-2033
7.6.16. Rest of LATAM Medical Fraud Detection Management Market Outlook, by Component, 2020-2033
7.6.17. Rest of LATAM Medical Fraud Detection Management Market Outlook, by Solution Type, 2020-2033
7.6.18. Rest of LATAM Medical Fraud Detection Management Market Outlook, by Deployment Mode, 2020-2033
7.6.19. Rest of LATAM Medical Fraud Detection Management Market Outlook, by Fraud Type, 2020-2033
7.6.20. Rest of LATAM Medical Fraud Detection Management Market Outlook, by End User, 2020-2033
7.7. BPS Analysis/Market Attractiveness Analysis
8. Middle East & Africa Medical Fraud Detection Management Market Outlook, 2020 - 2033
8.1. Middle East & Africa Medical Fraud Detection Management Market Outlook, by Component, Value (US$ Bn), 2020-2033
8.1.1. Software
8.1.2. Services
8.2. Middle East & Africa Medical Fraud Detection Management Market Outlook, by Solution Type, Value (US$ Bn), 2020-2033
8.2.1. Descriptive Analytics
8.2.2. Predictive Analytics
8.2.3. Prescriptive Analytics
8.3. Middle East & Africa Medical Fraud Detection Management Market Outlook, by Deployment Mode, Value (US$ Bn), 2020-2033
8.3.1. Cloud-based
8.3.2. On-premise
8.4. Middle East & Africa Medical Fraud Detection Management Market Outlook, by Fraud Type, Value (US$ Bn), 2020-2033
8.4.1. Insurance Claims Fraud
8.4.2. Provider Fraud
8.4.3. Patient Fraud
8.4.4. Pharmacy Fraud
8.5. Middle East & Africa Medical Fraud Detection Management Market Outlook, by End User, Value (US$ Bn), 2020-2033
8.5.1. Public & Private Insurance Payers
8.5.2. Healthcare Providers
8.5.3. Third-party Administrators (TPAs)
8.5.4. Government Agencies
8.6. Middle East & Africa Medical Fraud Detection Management Market Outlook, by Country, Value (US$ Bn), 2020-2033
8.6.1. GCC Medical Fraud Detection Management Market Outlook, by Component, 2020-2033
8.6.2. GCC Medical Fraud Detection Management Market Outlook, by Solution Type, 2020-2033
8.6.3. GCC Medical Fraud Detection Management Market Outlook, by Deployment Mode, 2020-2033
8.6.4. GCC Medical Fraud Detection Management Market Outlook, by Fraud Type, 2020-2033
8.6.5. GCC Medical Fraud Detection Management Market Outlook, by End User, 2020-2033
8.6.6. South Africa Medical Fraud Detection Management Market Outlook, by Component, 2020-2033
8.6.7. South Africa Medical Fraud Detection Management Market Outlook, by Solution Type, 2020-2033
8.6.8. South Africa Medical Fraud Detection Management Market Outlook, by Deployment Mode, 2020-2033
8.6.9. South Africa Medical Fraud Detection Management Market Outlook, by Fraud Type, 2020-2033
8.6.10. South Africa Medical Fraud Detection Management Market Outlook, by End User, 2020-2033
8.6.11. Egypt Medical Fraud Detection Management Market Outlook, by Component, 2020-2033
8.6.12. Egypt Medical Fraud Detection Management Market Outlook, by Solution Type, 2020-2033
8.6.13. Egypt Medical Fraud Detection Management Market Outlook, by Deployment Mode, 2020-2033
8.6.14. Egypt Medical Fraud Detection Management Market Outlook, by Fraud Type, 2020-2033
8.6.15. Egypt Medical Fraud Detection Management Market Outlook, by End User, 2020-2033
8.6.16. Nigeria Medical Fraud Detection Management Market Outlook, by Component, 2020-2033
8.6.17. Nigeria Medical Fraud Detection Management Market Outlook, by Solution Type, 2020-2033
8.6.18. Nigeria Medical Fraud Detection Management Market Outlook, by Deployment Mode, 2020-2033
8.6.19. Nigeria Medical Fraud Detection Management Market Outlook, by Fraud Type, 2020-2033
8.6.20. Nigeria Medical Fraud Detection Management Market Outlook, by End User, 2020-2033
8.6.21. Rest of Middle East Medical Fraud Detection Management Market Outlook, by Component, 2020-2033
8.6.22. Rest of Middle East Medical Fraud Detection Management Market Outlook, by Solution Type, 2020-2033
8.6.23. Rest of Middle East Medical Fraud Detection Management Market Outlook, by Deployment Mode, 2020-2033
8.6.24. Rest of Middle East Medical Fraud Detection Management Market Outlook, by Fraud Type, 2020-2033
8.6.25. Rest of Middle East Medical Fraud Detection Management Market Outlook, by End User, 2020-2033
8.7. BPS Analysis/Market Attractiveness Analysis
9. Competitive Landscape
9.1. Company Vs Segment Heatmap
9.2. Company Market Share Analysis, 2025
9.3. Competitive Dashboard
9.4. Company Profiles
9.4.1. IBM Corporation (IBM Watson Health / IBM Analytics)
9.4.1.1. Company Overview
9.4.1.2. Product Portfolio
9.4.1.3. Financial Overview
9.4.1.4. Business Strategies and Developments
9.4.2. SAS Institute Inc.
9.4.3. Oracle Corporation
9.4.4. Microsoft Corporation
9.4.5. Optum, Inc. (UnitedHealth Group)
9.4.6. McKesson Corporation
9.4.7. Change Healthcare (part of UnitedHealth Group)
9.4.8. Verisk Health (Verisk Analytics)
9.4.9. Cognizant Technology Solutions
9.4.10. HCL Technologies
10. Appendix
10.1. Research Methodology
10.2. Report Assumptions
10.3. Acronyms and Abbreviations
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