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세계의 의료용 사기 분석 및 탐지 시장 예측(2020-2028년)

Global Healthcare Fraud Analytics and Detection Market Forecast 2020-2028

리서치사 Inkwood Research
발행일 2020년 06월 상품 코드 943450
페이지 정보 영문 166 Pages
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세계의 의료용 사기 분석 및 탐지 시장 예측(2020-2028년) Global Healthcare Fraud Analytics and Detection Market Forecast 2020-2028
발행일 : 2020년 06월 페이지 정보 : 영문 166 Pages

세계의 의료용 부정 탐지·방지 시장은 2020-2028년간 21.09%의 연평균 복합 성장률(CAGR)을 나타낼 전망입니다. 시장 성장을 촉진하는 요인은 의료에서의 날조 사례 증가, 건강보험을 선택하는 환자 증가 및 의료 지출 증가입니다. 미국 등 많은 국가는 의료보험 사기 문제에 직면해 있습니다. 인도와 같은 신흥국가의 경우, 의료보험 청구 부정 사례 건수가 증가하고 있습니다. 이러한 상황에 대처하기 위해서 의료 업계는 보험 데이터를 유지하면서 부정 검출 과정을 촉진할 수 있는 기술을 채용하고 있습니다. 소프트웨어 및 클라우드 기반 솔루션에 대한 의존도 증가는 시장 성장에 도움이 될 것으로 예상됩니다. 기술에 대처할 때의 비효율성, 기업이 새로운 분석 기술 채용에 소극적이라는 점이 시장 성장을 방해하는 요인이 되고 있습니다.

세계의 의료용 사기 분석 및 탐지(Healthcare Fraud Analytics and Detection) 시장을 조사했으며, 시장 개요, 시장 성장에 대한 중요한 영향요인 분석, 부문 및 지역별 분석 및 예측, 주요 기업 프로파일 등의 정보를 전해드립니다.

제1장 조사 범위와 조사 방법

  • 조사 목적
  • 조사 범위
  • 조사 방법
  • 전제조건 및 제한

제2장 개요

  • 시장 규모 및 추정
  • 시장 개요

제3장 시장 역학

  • 시장 정의
  • 주요 시장 성장 촉진요인
    • 의료 지출 증가
    • 건강보험을 원하는 환자 급증
    • 의료에서의 날조 사례 증가
  • 주요 시장 성장 억제요인
    • 의료용 부정 분석 채용에 대한 반감

제4장 주요 분석

  • 주요 투자 인사이트
  • Porter's Five Forces 분석
  • 시장 기회 매트릭스
  • 벤더 상황

제5장 시장 : 유형별

  • 기술적 분석
  • 예측적 분석
  • 처방적 분석

제6장 시장 : 애플리케이션별

  • 보험 청구 조사
  • 지불 건전성/결제 무결성

제7장 시장 : 최종사용자별

  • 민간 보험회사
  • 정부기관
  • 기타 최종사용자

제8장 지역 분석

  • 북미
    • 미국
    • 캐나다
  • 유럽
    • 영국
    • 독일
    • 프랑스
    • 이탈리아
    • 러시아
    • 벨기에
    • 폴란드
    • 기타 유럽
  • 아시아태평양
    • 중국
    • 일본
    • 인도
    • 한국
    • 인도네시아
    • 태국
    • 베트남
    • 호주 및 뉴질랜드
    • 기타 아시아태평양
  • 기타 지역
    • 라틴아메리카
    • 중동 및 아프리카

제9장 기업 개요

  • CGI INC
  • DXC TECHNOLOGY
  • EXL
  • IBM
  • MCKESSON
  • NORTHROP GRUMMAN
  • OSP LABS
  • SAS INSTITUTE
  • RELX GROUP PLC
  • UNITED HEALTH GROUP INCORPORATED(OPTUM INC)
  • COTIVITI HOLDINGS INC
  • CHANGE HEALTHCARE
  • FAIR ISSAC CORPORATION
  • PONDERA SOLUTIONS
LSH 20.07.07

LIST OF TABLES

  • TABLE 1: MARKET SNAPSHOT - HEALTHCARE FRAUD ANALYTICS AND DETECTION
  • TABLE 2: GLOBAL HEALTHCARE FRAUD ANALYTICS AND DETECTION MARKET, BY TYPE, HISTORICAL YEARS, 2016-2019 (IN $ MILLION)
  • TABLE 3: GLOBAL HEALTHCARE FRAUD ANALYTICS AND DETECTION MARKET, BY TYPE, FORECAST YEARS, 2020-2028 (IN $ MILLION)
  • TABLE 4: GLOBAL DESCRIPTIVE ANALYSIS MARKET, BY REGION, HISTORICAL YEARS, 2016-2019 (IN $ MILLION)
  • TABLE 5: GLOBAL DESCRIPTIVE ANALYSIS MARKET, BY REGION, FORECAST YEARS, 2020-2028 (IN $ MILLION)
  • TABLE 6: GLOBAL PREDICTIVE ANALYSIS MARKET, BY REGION, HISTORICAL YEARS, 2016-2019 (IN $ MILLION)
  • TABLE 7: GLOBAL PREDICTIVE ANALYSIS MARKET, BY REGION, FORECAST YEARS, 2020-2028 (IN $ MILLION)
  • TABLE 8: GLOBAL PRESCRIPTIVE ANALYSIS MARKET, BY REGION, HISTORICAL YEARS, 2016-2019 (IN $ MILLION)
  • TABLE 9: GLOBAL PRESCRIPTIVE ANALYSIS MARKET, BY REGION, FORECAST YEARS, 2020-2028 (IN $ MILLION)
  • TABLE 10: GLOBAL HEALTHCARE FRAUD ANALYTICS AND DETECTION MARKET, BY APPLICATION, HISTORICAL YEARS, 2016-2019 (IN $
  • TABLE 11: GLOBAL HEALTHCARE FRAUD ANALYTICS AND DETECTION MARKET, BY APPLICATION, FORECAST YEARS, 2020-2028 (IN $ MILLION)
  • TABLE 12: GLOBAL REVIEW OF INSURANCE CLAIMS MARKET, BY REGION, HISTORICAL YEARS, 2016-2019 (IN $ MILLION)
  • TABLE 13: GLOBAL REVIEW OF INSURANCE CLAIMS MARKET, BY REGION, FORECAST YEARS, 2020-2028 (IN $ MILLION)
  • TABLE 14: GLOBAL PAYMENT INTEGRITY MARKET, BY REGION, HISTORICAL YEARS, 2016-2019 (IN $ MILLION)
  • TABLE 15: GLOBAL PAYMENT INTEGRITY MARKET, BY REGION, FORECAST YEARS, 2020-2028 (IN $ MILLION)
  • TABLE 16: GLOBAL HEALTHCARE FRAUD ANALYTICS AND DETECTION MARKET, BY END-USER, HISTORICAL YEARS, 2016-2019 (IN $ MILLION)
  • TABLE 17: GLOBAL HEALTHCARE FRAUD ANALYTICS AND DETECTION MARKET, BY END-USER, FORECAST YEARS, 2020-2028 (IN $ MILLION)
  • TABLE 18: GLOBAL PRIVATE INSURANCE PAYERS MARKET, BY REGION, HISTORICAL YEARS, 2016-2019 (IN $ MILLION)
  • TABLE 19: GLOBAL PRIVATE INSURANCE PAYERS MARKET, BY REGION, FORECAST YEARS, 2020-2028 (IN $ MILLION)
  • TABLE 20: GLOBAL GOVERNMENT AGENCIES MARKET, BY REGION, HISTORICAL YEARS, 2016-2019 (IN $ MILLION)
  • TABLE 21: GLOBAL GOVERNMENT AGENCIES MARKET, BY REGION, FORECAST YEARS, 2020-2028 (IN $ MILLION)
  • TABLE 22: GLOBAL OTHER END-USERS MARKET, BY REGION, HISTORICAL YEARS, 2016-2019 (IN $ MILLION)
  • TABLE 23: GLOBAL OTHER END-USERS MARKET, BY REGION, FORECAST YEARS, 2020-2028 (IN $ MILLION)
  • TABLE 24: GLOBAL HEALTHCARE FRAUD ANALYTICS AND DETECTION MARKET, BY GEOGRAPHY, HISTORICAL YEARS, 2016-2019 (IN $
  • TABLE 25: GLOBAL HEALTHCARE FRAUD ANALYTICS AND DETECTION MARKET, BY GEOGRAPHY, FORECAST YEARS, 2020-2028 (IN $ MILLION)
  • TABLE 26: NORTH AMERICA HEALTHCARE FRAUD ANALYTICS AND DETECTION MARKET, BY COUNTRY, HISTORICAL YEARS, 2016-2019 (IN $ MILLION)
  • TABLE 27: NORTH AMERICA HEALTHCARE FRAUD ANALYTICS AND DETECTION MARKET, BY COUNTRY, FORECAST YEARS, 2020-2028 (IN $ MILLION)
  • TABLE 28: EUROPE HEALTHCARE FRAUD ANALYTICS AND DETECTION MARKET, BY COUNTRY, HISTORICAL YEARS, 2016-2019 (IN $ MILLION)
  • TABLE 29: EUROPE HEALTHCARE FRAUD ANALYTICS AND DETECTION MARKET, BY COUNTRY, FORECAST YEARS, 2020-2028 (IN $ MILLION)
  • TABLE 30: ASIA PACIFIC HEALTHCARE FRAUD ANALYTICS AND DETECTION MARKET, BY COUNTRY, HISTORICAL YEARS, 2016-2019 (IN $ MILLION)
  • TABLE 31: ASIA PACIFIC HEALTHCARE FRAUD ANALYTICS AND DETECTION MARKET, BY COUNTRY, FORECAST YEARS, 2020-2028 (IN $ MILLION)
  • TABLE 32: REST OF WORLD HEALTHCARE FRAUD ANALYTICS AND DETECTION MARKET, BY REGION, HISTORICAL YEARS, 2016-2019 (IN $ MILLION)
  • TABLE 33: REST OF WORLD HEALTHCARE FRAUD ANALYTICS AND DETECTION MARKET, BY REGION, FORECAST YEARS, 2020-2028 (IN $ MILLION)

LIST OF FIGURES

  • FIGURE 1: KEY INVESTMENT INSIGHTS
  • FIGURE 2: PORTER'S FIVE FORCE ANALYSIS
  • FIGURE 3: OPPORTUNITY MATRIX
  • FIGURE 4: VENDOR LANDSCAPE
  • FIGURE 5: GLOBAL HEALTHCARE FRAUD ANALYTICS AND DETECTION MARKET, GROWTH POTENTIAL, BY TYPE, IN 2019
  • FIGURE 6: GLOBAL HEALTHCARE FRAUD ANALYTICS AND DETECTION MARKET, BY DESCRIPTIVE ANALYSIS, 2020-2028 (IN $ MILLION)
  • FIGURE 7: GLOBAL HEALTHCARE FRAUD ANALYTICS AND DETECTION MARKET, BY PREDICTIVE ANALYSIS, 2020-2028 (IN $ MILLION)
  • FIGURE 8: GLOBAL HEALTHCARE FRAUD ANALYTICS AND DETECTION MARKET, BY PRESCRIPTIVE ANALYSIS, 2020-2028 (IN $ MILLION)
  • FIGURE 9: GLOBAL HEALTHCARE FRAUD ANALYTICS AND DETECTION MARKET, GROWTH POTENTIAL, BY APPLICATION, IN 2019
  • FIGURE 10: GLOBAL HEALTHCARE FRAUD ANALYTICS AND DETECTION MARKET, BY REVIEW OF INSURANCE CLAIMS, 2020-2028 (IN $ MILLION)
  • FIGURE 11: GLOBAL HEALTHCARE FRAUD ANALYTICS AND DETECTION MARKET, BY PAYMENT INTEGRITY, 2020-2028 (IN $ MILLION)
  • FIGURE 12: GLOBAL HEALTHCARE FRAUD ANALYTICS AND DETECTION MARKET, GROWTH POTENTIAL, BY END-USER, IN 2019
  • FIGURE 13: GLOBAL HEALTHCARE FRAUD ANALYTICS AND DETECTION MARKET, BY PRIVATE INSURANCE PAYERS, 2020-2028 (IN $ MILLION)
  • FIGURE 14: GLOBAL HEALTHCARE FRAUD ANALYTICS AND DETECTION MARKET, BY GOVERNMENT AGENCIES, 2020-2028 (IN $ MILLION)
  • FIGURE 15: GLOBAL HEALTHCARE FRAUD ANALYTICS AND DETECTION MARKET, BY OTHER END-USERS, 2020-2028 (IN $ MILLION)
  • FIGURE 16: NORTH AMERICA HEALTHCARE FRAUD ANALYTICS AND DETECTION MARKET, REGIONAL OUTLOOK, 2019 & 2028 (IN %)
  • FIGURE 17: UNITED STATES HEALTHCARE FRAUD ANALYTICS AND DETECTION MARKET, 2020-2028 (IN $ MILLION)
  • FIGURE 18: CANADA HEALTHCARE FRAUD ANALYTICS AND DETECTION MARKET, 2020-2028 (IN $ MILLION)
  • FIGURE 19: EUROPE HEALTHCARE FRAUD ANALYTICS AND DETECTION MARKET, REGIONAL OUTLOOK, 2019 & 2028 (IN %)
  • FIGURE 20: UNITED KINGDOM HEALTHCARE FRAUD ANALYTICS AND DETECTION MARKET, 2020-2028 (IN $ MILLION)
  • FIGURE 21: GERMANY HEALTHCARE FRAUD ANALYTICS AND DETECTION MARKET, 2020-2028 (IN $ MILLION)
  • FIGURE 22: FRANCE HEALTHCARE FRAUD ANALYTICS AND DETECTION MARKET, 2020-2028 (IN $ MILLION)
  • FIGURE 23: ITALY HEALTHCARE FRAUD ANALYTICS AND DETECTION MARKET, 2020-2028 (IN $ MILLION)
  • FIGURE 24: RUSSIA HEALTHCARE FRAUD ANALYTICS AND DETECTION MARKET, 2020-2028 (IN $ MILLION)
  • FIGURE 25: BELGIUM HEALTHCARE FRAUD ANALYTICS AND DETECTION MARKET, 2020-2028 (IN $ MILLION)
  • FIGURE 26: POLAND HEALTHCARE FRAUD ANALYTICS AND DETECTION MARKET, 2020-2028 (IN $ MILLION)
  • FIGURE 27: REST OF EUROPE HEALTHCARE FRAUD ANALYTICS AND DETECTION MARKET, 2020-2028 (IN $ MILLION)
  • FIGURE 28: ASIA PACIFIC HEALTHCARE FRAUD ANALYTICS AND DETECTION MARKET, REGIONAL OUTLOOK, 2019 & 2028 (IN %)
  • FIGURE 29: CHINA HEALTHCARE FRAUD ANALYTICS AND DETECTION MARKET, 2020-2028 (IN $ MILLION)
  • FIGURE 30: JAPAN HEALTHCARE FRAUD ANALYTICS AND DETECTION MARKET, 2020-2028 (IN $ MILLION)
  • FIGURE 31: INDIA HEALTHCARE FRAUD ANALYTICS AND DETECTION MARKET, 2020-2028 (IN $ MILLION)
  • FIGURE 32: SOUTH KOREA HEALTHCARE FRAUD ANALYTICS AND DETECTION MARKET, 2020-2028 (IN $ MILLION)
  • FIGURE 33: INDONESIA HEALTHCARE FRAUD ANALYTICS AND DETECTION MARKET, 2020-2028 (IN $ MILLION)
  • FIGURE 34: THAILAND HEALTHCARE FRAUD ANALYTICS AND DETECTION MARKET, 2020-2028 (IN $ MILLION)
  • FIGURE 35: VIETNAM HEALTHCARE FRAUD ANALYTICS AND DETECTION MARKET, 2020-2028 (IN $ MILLION)
  • FIGURE 36: AUSTRALIA & NEW ZEALAND HEALTHCARE FRAUD ANALYTICS AND DETECTION MARKET, 2020-2028 (IN $ MILLION)
  • FIGURE 37: REST OF ASIA PACIFIC HEALTHCARE FRAUD ANALYTICS AND DETECTION MARKET, 2020-2028 (IN $ MILLION)
  • FIGURE 38: REST OF WORLD HEALTHCARE FRAUD ANALYTICS AND DETECTION MARKET, REGIONAL OUTLOOK, 2019 & 2028 (IN %)
  • FIGURE 39: LATIN AMERICA HEALTHCARE FRAUD ANALYTICS AND DETECTION MARKET, 2020-2028 (IN $ MILLION)
  • FIGURE 40: MIDDLE EAST & AFRICA HEALTHCARE FRAUD ANALYTICS AND DETECTION MARKET, 2020-2028 (IN $ MILLION)

KEY FINDINGS

The global healthcare fraud analytics and detection market is set to register a CAGR of 21.09% during the forecast period, 2020-2028. The factors augmenting the growth of the market are the rising fabricated activities in healthcare, the increasing number of patients opting for health insurance, and the growing healthcare expenditure.

MARKET INSIGHTS

Healthcare fraud detection is increasingly prioritized these days. There is a rise in the cases of frauds with regard to medical insurance, which is one of the crucial factors propelling the growth of the market analyzed. Many countries, like the United States, face issues with fraud in medical insurance. In the case of developing countries like India, there has been an increase in the number of fraudulent cases during the claim of medical insurance. In order to tackle such circumstances, the healthcare industry is adopting technology, which can ease the process of fraud detection, while maintaining the data for insurance. The implementation of fraud detection software has increased, given the rapid transformation of healthcare delivery and claims systems in developed and developing countries. The growing reliance on software and cloud-based solutions, is deemed to be beneficial for market growth. The inefficiency, while dealing with technology, and the unwillingness of companies in adopting new analytics technologies, are the factors hindering the growth of the market.

REGIONAL INSIGHTS

The geographical segmentation of the global healthcare fraud analytics and detection market entails the assessment of Europe, North America, Asia Pacific, and the rest of the world. The Asia Pacific region is predicted to record the highest CAGR by the end of the forecast period. The increasing use of mobile data for applications like mobile banking and social media is resulting in the increased adoption of fraud detection and prevention solutions. Such factors are accredited to the growth of the market in the region.

COMPETITIVE INSIGHTS

The competitive environment of the market encompasses sustainable advantage due to innovations among companies. Some of the leading companies present in the market include, DXC Technology, EXL, McKesson, IBM, CGI Inc, etc.

Our report offerings include:

  • Explore key findings of the overall market
  • Strategic breakdown of market dynamics (Drivers, Restraints, Opportunities, Challenges)
  • Market forecasts for a minimum of 9 years, along with 3 years of historical data for all segments, sub-segments, and regions
  • Market Segmentation cater to a thorough assessment of key segments with their market estimations
  • Geographical Analysis: Assessments of the mentioned regions and country-level segments with their market share
  • Key analytics: Porter's Five Forces Analysis, Vendor Landscape, Opportunity Matrix, Key Buying Criteria, etc.
  • Competitive landscape is the theoretical explanation of the key companies based on factors, market share, etc.
  • Company profiling: A detailed company overview, product/services offered, SCOT analysis, and recent strategic developments

TABLE OF CONTENTS

1. RESEARCH SCOPE & METHODOLOGY

  • 1.1. STUDY OBJECTIVES
  • 1.2. SCOPE OF STUDY
  • 1.3. METHODOLOGY
  • 1.4. ASSUMPTIONS & LIMITATIONS

2. EXECUTIVE SUMMARY

  • 2.1. MARKET SIZE & ESTIMATES
  • 2.2. MARKET OVERVIEW

3. MARKET DYNAMICS

  • 3.1. MARKET DEFINITION
  • 3.2. KEY DRIVERS
    • 3.2.1. RISE IN HEALTHCARE EXPENDITURE
    • 3.2.2. SURGE IN THE NUMBER OF PATIENTS OPTING FOR HEALTH INSURANCE
    • 3.2.3. RISE IN FABRICATED ACTIVITIES IN HEALTHCARE
  • 3.3. KEY RESTRAINTS
    • 3.3.1. RELUCTANCE TO ADOPT HEALTHCARE FRAUD ANALYTICS

4. KEY ANALYTICS

  • 4.1. KEY INVESTMENT INSIGHTS
  • 4.2. PORTER'S FIVE FORCE ANALYSIS
    • 4.2.1. BUYER POWER
    • 4.2.2. SUPPLIER POWER
    • 4.2.3. SUBSTITUTION
    • 4.2.4. NEW ENTRANTS
    • 4.2.5. INDUSTRY RIVALRY
  • 4.3. OPPORTUNITY MATRIX
  • 4.4. VENDOR LANDSCAPE

5. MARKET BY TYPE

  • 5.1. DESCRIPTIVE ANALYSIS
  • 5.2. PREDICTIVE ANALYSIS
  • 5.3. PRESCRIPTIVE ANALYSIS

6. MARKET BY APPLICATION

  • 6.1. REVIEW OF INSURANCE CLAIMS
  • 6.2. PAYMENT INTEGRITY

7. MARKET BY END-USER

  • 7.1. PRIVATE INSURANCE PAYERS
  • 7.2. GOVERNMENT AGENCIES
  • 7.3. OTHER END-USERS

8. GEOGRAPHICAL ANALYSIS

  • 8.1. NORTH AMERICA
    • 8.1.1. UNITED STATES
    • 8.1.2. CANADA
  • 8.2. EUROPE
    • 8.2.1. UNITED KINGDOM
    • 8.2.2. GERMANY
    • 8.2.3. FRANCE
    • 8.2.4. ITALY
    • 8.2.5. RUSSIA
    • 8.2.6. BELGIUM
    • 8.2.7. POLAND
    • 8.2.8. REST OF EUROPE
  • 8.3. ASIA PACIFIC
    • 8.3.1. CHINA
    • 8.3.2. JAPAN
    • 8.3.3. INDIA
    • 8.3.4. SOUTH KOREA
    • 8.3.5. INDONESIA
    • 8.3.6. THAILAND
    • 8.3.7. VIETNAM
    • 8.3.8. AUSTRALIA & NEW ZEALAND
    • 8.3.9. REST OF ASIA PACIFIC
  • 8.4. REST OF WORLD
    • 8.4.1. LATIN AMERICA
    • 8.4.2. MIDDLE EAST & AFRICA

9. COMPANY PROFILES

  • 9.1. CGI INC
  • 9.2. DXC TECHNOLOGY
  • 9.3. EXL
  • 9.4. IBM
  • 9.5. MCKESSON
  • 9.6. NORTHROP GRUMMAN
  • 9.7. OSP LABS
  • 9.8. SAS INSTITUTE
  • 9.9. RELX GROUP PLC
  • 9.10. UNITED HEALTH GROUP INCORPORATED (OPTUM INC)
  • 9.11. COTIVITI HOLDINGS INC
  • 9.12. CHANGE HEALTHCARE
  • 9.13. FAIR ISSAC CORPORATION
  • 9.14. PONDERA SOLUTIONS
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