表紙
市場調查報告書

醫療部門詐欺分析的全球市場 ∼2025年:說明的分析、預測的分析、處方的分析

Healthcare Fraud Analytics Market by Solution Type (Descriptive, Predictive, Prescriptive), Application (Insurance Claim (Postpayment, Prepayment), Payment Integrity), Delivery (On-premise, Cloud), End User - Global Forecast to 2025

出版商 MarketsandMarkets 商品編碼 923889
出版日期 內容資訊 英文 145 Pages
訂單完成後即時交付
價格
醫療部門詐欺分析的全球市場 ∼2025年:說明的分析、預測的分析、處方的分析 Healthcare Fraud Analytics Market by Solution Type (Descriptive, Predictive, Prescriptive), Application (Insurance Claim (Postpayment, Prepayment), Payment Integrity), Delivery (On-premise, Cloud), End User - Global Forecast to 2025
出版日期: 2020年01月29日內容資訊: 英文 145 Pages
簡介

醫療部門詐欺分析的市場在預測期間內將以29.8%的年複合成長率發展,從2020年的12億美元,成長到2025年46億美元的規模。社群網路分析的出現,AI和區塊鏈等技術的採用,亞太地區等新興各國的利用擴大等要素提供成長機會。可是同時,在這些解決方案的發展耗費時長和頻繁的更新必要性等成為進一步成長的課題。各傳輸模式中,預計在預測期間內,隨選部門超過內部部署部門記錄了成長。隨選的自助服務分析,無需硬體設備的前期投資,容量的彈性,付費使用制等要素,促進隨選的詐欺檢測解決方案的需求。各用途中,在保險金支付前可迴避詐欺,迅速採取行動這樣的優點,預期保險金支付前的檢討模式今後數年將引人注目。各地區中,預計亞太地區記錄在預測期間內最大的成長。對健康保險、醫療保險的需求擴大,及詐欺取管束的政府、高科技大企業的合作的增加等要素預計促進該市場的成長。

本報告提供醫療部門詐欺分析的市場調查,市場定義和概要,對市場成長的各種影響因素及市場機會分析,各解決方案類型、傳輸模式、用途、終端用戶、地區/主要國家趨勢與市場規模的變化與預測,競爭環境,主要企業簡介等資訊彙整。

第1章 簡介

第2章 調查手法

第3章 摘要整理

第4章 重要考察

第5章 市場概要

  • 簡介
  • 市場動態
  • 促進因素
  • 阻礙因素
  • 機會
  • 課題

第6章 產業分析

  • 產業趨勢

第7章 醫療部門詐欺分析市場:各解決方案類型

  • 簡介
  • 說明的分析
  • 預測的分析
  • 處方的分析

第8章 醫療部門詐欺分析市場:各傳輸模式

  • 簡介
  • 內部部署
  • 隨選

第9章 醫療部門詐欺分析市場:各用途

  • 簡介
  • 保險申請檢討
    • 支付後
    • 支付前
  • 藥局的申請的誤用
  • 付款完整性
  • 其他

第10章 醫療部門詐欺分析市場:各終端用戶

  • 簡介
  • 公共機關、政府機關
  • 民間保險公司
  • 第三方服務供應商
  • 雇主

第11章 醫療部門詐欺分析市場:各地區、主要國家

  • 簡介
  • 北美
  • 歐洲
  • 亞太地區
  • 中南美
  • 中東、非洲

第12章 競爭環境

  • 簡介
  • 競爭情形、趨勢
  • 競爭領導製圖

第13章 企業簡介

  • IBM
  • OPTUM
  • COTIVITI HOLDINGS, INC.
  • FAIR ISAAC CORPORATION
  • SAS INSTITUTE
  • CHANGE HEALTHCARE
  • EXL SERVICE HOLDINGS, INC.
  • WIPRO
  • CONDUENT, INC.
  • HCL TECHNOLOGIES
  • CGI GROUP
  • DXC TECHNOLOGY COMPANY
  • NORTHROP GRUMMAN CORPORATION
  • LEXISNEXIS (A PART OF RELX GROUP)
  • PONDERA SOLUTIONS
  • 其他

第14章 附錄

目錄
Product Code: HIT 5868

The healthcare fraud analytics market is projected to reach USD 4.6 billion by 2025 from USD 1.2 billion in 2020 at a CAGR of 29.8%. The emergence of social network analytics, the adoption of technologies such as AI and blockchain, and the growing use of healthcare analytics for fraud detection in emerging nations like the APAC provide growth opportunities in this market. However, the time-consuming deployment of these solutions and the need for frequent updates are some challenges faced by end users of this market.

The on-demand segment is projected to witness the highest growth during the forecast period

On the basis of delivery model, the healthcare fraud analytics market is segmented into on-premise and on-demand models. The on-demand models include the cloud-based and web-based models. The on-demand segment is projected to register the highest CAGR during the forecast period. Factors such as on-demand self-serving analytics, the lack of up-front capital investments for hardware, extreme capacity flexibility, and a pay-as-you-go pricing model are driving the demand for on-demand fraud detection solutions.

The prepayment review model is projected to witness the highest growth during the forecast period

On the basis of application, the healthcare fraud analytics market is segmented into insurance claims review, pharmacy billing misuse, payment integrity, and other applications. The insurance claims review segment is further divided into postpayment and prepayment review, with the latter expected to register the highest growth during the forecast period. This is mainly because the use of prepayment review protocols and analytics can help organizations proactively prevent fraud prior to payment, allowing rapid action to be taken. As a result, prepayment review solutions are expected to garner greater attention in the coming years.

The Asia Pacific to witness the highest growth during the forecast period

The Asia Pacific is expected to witness the highest growth during the forecast period (2020 to 2025), owing to factors such as the growing demand for health insurance and increasing collaborations & partnerships between governments and tech giants for leveraging fraud analytics capabilities.

A breakdown of primary participants involved in making this report is mentioned below:

  • By Company Type: Tier 1-45%, Tier 2-18%, and Tier 3-37%
  • By Designation: C Level-35%, Director Level-50%, Others-15%
  • By Region: North America-60%, Asia Pacific-22%, Europe-13%, Latin America-2%, Middle East and Africa-3%

Some of the major market players in the healthcare fraud analytics market are IBM Corporation (US), Optum (US), SAS Institute (US), Change Healthcare (US), EXL Service Holdings (US), Cotiviti (US), Wipro Limited (India), Conduent (US), HCL (India), Canadian Global Information Technology Group (Canada), DXC Technology Company (US), Northrop Grumman Corporation (US), LexisNexis Group (US), and Pondera Solutions (US).

Research Coverage:

The report analyzes the healthcare fraud analytics market and aims at estimating the market size and future growth potential of this market based on various segmentations, such as solution type, delivery model, application, end user, and region. It also covers the competitive leadership mapping, which analyzes the position of key market players and classifies them based on their capabilities. The report provides a competitive analysis of the key players in this market, along with their profiles, offerings, recent developments, and key market strategies.

Reasons to Buy the Report

The report will enrich established firms as well as new entrants/smaller firms to gauge the pulse of the market to help them garner a greater share of the market. Firms purchasing the report could use one or any combination of the below-mentioned strategies to strengthen their position in the market.

This report provides insights into the following pointers:

  • Market Penetration: Comprehensive information on the portfolios of top players in the global healthcare fraud analytics market. The report analyzes this market by solution type, delivery model, application, end user, and region.
  • Product Enhancement/Innovation: Detailed insights on upcoming technology trends in the global healthcare fraud analytics market
  • Market Development: Comprehensive information on the lucrative emerging markets
  • Market Diversification: Exhaustive information about growing geographies, recent developments, and collaborations in the healthcare fraud analytics market
  • Competitive Assessment: In-depth assessment of growth strategies, offerings, and capabilities of leading players in the global healthcare fraud analytics market

TABLE OF CONTENTS

1 INTRODUCTION

  • 1.1 OBJECTIVES OF THE STUDY
  • 1.2 MARKET DEFINITION
  • 1.3 MARKET SCOPE
    • 1.3.1 MARKETS COVERED
    • 1.3.2 YEARS CONSIDERED FOR THE STUDY
  • 1.4 CURRENCY
  • 1.5 LIMITATIONS
  • 1.6 STAKEHOLDERS

2 RESEARCH METHODOLOGY

  • 2.1 RESEARCH APPROACH
    • 2.1.1 SECONDARY SOURCES
      • 2.1.1.1 Key data from secondary sources
    • 2.1.2 PRIMARY SOURCES
      • 2.1.2.1 Key data from primary sources
  • 2.2 MARKET SIZE ESTIMATION
  • 2.3 MARKET BREAKDOWN AND DATA TRIANGULATION
  • 2.4 ASSUMPTIONS FOR THE STUDY

3 EXECUTIVE SUMMARY

4 PREMIUM INSIGHTS

  • 4.1 HEALTHCARE FRAUD ANALYTICS MARKET OVERVIEW
  • 4.2 ASIA PACIFIC: HEALTHCARE FRAUD ANALYTICS MARKET, BY SOLUTION TYPE AND APPLICATION (2019)
  • 4.3 HEALTHCARE FRAUD ANALYTICS MARKET: GEOGRAPHIC GROWTH OPPORTUNITIES
  • 4.4 HEALTHCARE FRAUD ANALYTICS MARKET: REGIONAL MIX
  • 4.5 HEALTHCARE FRAUD ANALYTICS MARKET: DEVELOPING VS. DEVELOPED REGIONS

5 MARKET OVERVIEW

  • 5.1 INTRODUCTION
  • 5.2 MARKET DYNAMICS
    • 5.2.1 DRIVERS
      • 5.2.1.1 Large number of fraudulent activities in healthcare
      • 5.2.1.2 Increasing number of patients seeking health insurance
      • 5.2.1.3 Prepayment review model
      • 5.2.1.4 High returns on investment
      • 5.2.1.5 Rise in pharmacy claims-related fraud
    • 5.2.2 RESTRAINTS
      • 5.2.2.1 Limitations in the data capturing process in Medicaid services
    • 5.2.3 OPPORTUNITIES
      • 5.2.3.1 Adoption of healthcare fraud analytics in developing countries
      • 5.2.3.2 Emergence of social media and its impact on the healthcare industry
      • 5.2.3.3 Role of AI in healthcare fraud detection
    • 5.2.4 CHALLENGES
      • 5.2.4.1 Dearth of skilled personnel
      • 5.2.4.2 Time-consuming deployment and the need for frequent upgrades

6 INDUSTRY INSIGHTS

  • 6.1 INDUSTRY TRENDS
    • 6.1.1 SHIFTING FOCUS FROM ON-PREMISE MODELS TO CLOUD-BASED ON-DEMAND MODELS
    • 6.1.2 MERGERS AND ACQUISITIONS: THE MOST ADOPTED STRATEGY
    • 6.1.3 TECHNOLOGICAL ADVANCEMENTS
    • 6.1.4 NEW USE CASE: OPIOID EPIDEMIC CRISIS
    • 6.1.5 END-USER TRENDS: ADOPTION OF HEALTHCARE FRAUD ANALYTICS SOLUTIONS BY PHARMACY BENEFIT MANAGERS

7 HEALTHCARE FRAUD ANALYTICS MARKET, BY SOLUTION TYPE

  • 7.1 INTRODUCTION
  • 7.2 DESCRIPTIVE ANALYTICS
    • 7.2.1 DESCRIPTIVE ANALYTICS SEGMENT ACCOUNTED FOR THE LARGEST MARKET SHARE
  • 7.3 PREDICTIVE ANALYTICS
    • 7.3.1 PREDICTIVE ANALYTICS HELPS IN SIMULATING FUTURE EVENTS & TRENDS THAT CAN ENABLE PAYERS TO PREDICT PREVENTABLE EVENTS
  • 7.4 PRESCRIPTIVE ANALYTICS
    • 7.4.1 PRESCRIPTIVE MODELS OFFER ADDITIONAL ADVANTAGES RELATING TO THE INVESTIGATION OF SUSPICIOUS BEHAVIOR TO GENERATE COMPREHENSIVE INSIGHTS

8 HEALTHCARE FRAUD ANALYTICS MARKET, BY DELIVERY MODEL

  • 8.1 INTRODUCTION
  • 8.2 ON-PREMISE DELIVERY MODELS
    • 8.2.1 ON-PREMISE MODELS ACCOUNT FOR THE LARGEST SHARE OF THE MARKET
  • 8.3 ON-DEMAND DELIVERY MODELS
    • 8.3.1 CLOUD-BASED DELIVERY MODELS OFFER ORGANIZATIONS INCREASED SCALABILITY AND SPEED

9 HEALTHCARE FRAUD ANALYTICS MARKET, BY APPLICATION

  • 9.1 INTRODUCTION
  • 9.2 INSURANCE CLAIMS REVIEW
    • 9.2.1 POSTPAYMENT REVIEW
      • 9.2.1.1 Postpayment review dominated the healthcare fraud analytics insurance claims review market
    • 9.2.2 PREPAYMENT REVIEW
      • 9.2.2.1 The majority of prepayment models use predictive analytics to detect fraud and stop fraudulent claims payments
  • 9.3 PHARMACY BILLING MISUSE
    • 9.3.1 FRAUD, WASTE, AND ABUSE CASES IN PHARMACY AND PRESCRIPTION DRUG AREAS ARE DRIVING THE DEMAND FOR ANALYTICS
  • 9.4 PAYMENT INTEGRITY
    • 9.4.1 CHANGES IN REGULATORY GUIDELINES HAVE AIDED THE ADOPTION OF PAYMENT INTEGRITY SOFTWARE
  • 9.5 OTHER APPLICATIONS

10 HEALTHCARE FRAUD ANALYTICS MARKET, BY END USER

  • 10.1 INTRODUCTION
  • 10.2 PUBLIC & GOVERNMENT AGENCIES
    • 10.2.1 PUBLIC & GOVERNMENT AGENCIES DOMINATE THE HEALTHCARE FRAUD ANALYTICS MARKET, BY END USER
  • 10.3 PRIVATE INSURANCE PAYERS
    • 10.3.1 PRIVATE INSURANCE PAYERS ARE FOCUSED ON DEPLOYING ANALYTICS TO COMBAT INCREASING MONETARY LOSSES
  • 10.4 THIRD-PARTY SERVICE PROVIDERS
    • 10.4.1 ADOPTION OF FRAUD ANALYTICS SOLUTIONS BY PUBLIC INSURERS PUTS PRIVATE BODIES AT RISK, DRIVING ATTENTION TOWARD OUTSOURCING
  • 10.5 EMPLOYERS
    • 10.5.1 EMPLOYERS ARE CONSIDERING FRAUD ANALYTICS SOLUTIONS AS A STEP TOWARD BETTER COST MANAGEMENT

11 HEALTHCARE FRAUD ANALYTICS MARKET, BY REGION

  • 11.1 INTRODUCTION
  • 11.2 NORTH AMERICA
    • 11.2.1 US
      • 11.2.1.1 US dominates the global healthcare fraud analytics market
    • 11.2.2 CANADA
      • 11.2.2.1 Growing adoption of data-crunching technologies like predictive analytics to drive market growth
  • 11.3 EUROPE
    • 11.3.1 GERMANY
      • 11.3.1.1 Germany is the fastest-growing market for healthcare fraud analytics solutions in Europe
    • 11.3.2 UK
      • 11.3.2.1 Launch of initiatives such as NHSCFA will support the market for fraud analytics solutions in the UK
    • 11.3.3 FRANCE
      • 11.3.3.1 Increasing adoption of information technology for the detection of healthcare fraud-a key factor driving market growth
    • 11.3.4 REST OF EUROPE
  • 11.4 ASIA PACIFIC
    • 11.4.1 APAC MARKET TO WITNESS THE HIGHEST GROWTH IN THE HEALTHCARE FRAUD ANALYTICS MARKET DURING THE FORECAST PERIOD
  • 11.5 LATIN AMERICA
    • 11.5.1 VOLUME OF CLAIMS PROCESSING IS EXPECTED TO INCREASE IN LATIN AMERICAN COUNTRIES OWING TO THE INCREASING PENETRATION OF HEALTH INSURANCE
  • 11.6 MIDDLE EAST & AFRICA
    • 11.6.1 HEALTHCARE FRAUD IS ONE OF THE LEADING CRIMES IN SOUTH AFRICA

12 COMPETITIVE LANDSCAPE

  • 12.1 INTRODUCTION
  • 12.2 COMPETITIVE SITUATION AND TRENDS
    • 12.2.1 MERGERS, ACQUISITIONS, AND JOINT VENTURES
    • 12.2.2 COLLABORATIONS, PARTNERSHIPS, AND AGREEMENTS
    • 12.2.3 EXPANSIONS
  • 12.3 COMPETITIVE LEADERSHIP MAPPING
    • 12.3.1 VISIONARY LEADERS
    • 12.3.2 INNOVATORS
    • 12.3.3 DYNAMIC DIFFERENTIATORS
    • 12.3.4 EMERGING COMPANIES

13 COMPANY PROFILES

(Business Overview, Products Offered, Recent Developments, MnM View)*

  • 13.1 IBM
  • 13.2 OPTUM (A PART OF UNITEDHEALTH GROUP)
  • 13.3 COTIVITI HOLDINGS, INC.
  • 13.4 FAIR ISAAC CORPORATION
  • 13.5 SAS INSTITUTE
  • 13.6 CHANGE HEALTHCARE
  • 13.7 EXL SERVICE HOLDINGS, INC.
  • 13.8 WIPRO
  • 13.9 CONDUENT, INC.
  • 13.10 HCL TECHNOLOGIES
  • 13.11 CGI GROUP
  • 13.12 DXC TECHNOLOGY COMPANY
  • 13.13 NORTHROP GRUMMAN CORPORATION
  • 13.14 LEXISNEXIS (A PART OF RELX GROUP)
  • 13.15 PONDERA SOLUTIONS
  • 13.16 OTHER PLAYERS OPERATING IN THE HEALTHCARE FRAUD ANALYTICS MARKET
    • 13.16.1 WHITEHATAI
    • 13.16.2 HEALTHCARE FRAUD SHIELD
    • 13.16.3 FRAUDLENS, INC.
    • 13.16.4 HMS
    • 13.16.5 FRAUDSCOPE, INC.

Business Overview, Products Offered, Recent Developments, MnM View might not be captured in case of unlisted companies.

14 APPENDIX

  • 14.1 DISCUSSION GUIDE
  • 14.2 KNOWLEDGE STORE: MARKETSANDMARKETS' SUBSCRIPTION PORTAL
  • 14.3 AVAILABLE CUSTOMIZATIONS
  • 14.4 RELATED REPORTS
  • 14.5 AUTHOR DETAILS

LIST OF TABLES

  • TABLE 1 LIST OF STAKEHOLDERS INTERVIEWED FOR THE STUDY
  • TABLE 2 COMPANIES OFFERING INNOVATIVE FRAUD ANALYTICS SOLUTIONS
  • TABLE 3 HEALTHCARE FRAUD ANALYTICS MARKET, BY SOLUTION TYPE, 2018-2025 (USD MILLION)
  • TABLE 4 DESCRIPTIVE ANALYTICS SOLUTIONS FOR HEALTHCARE FRAUD DETECTION
  • TABLE 5 DESCRIPTIVE ANALYTICS MARKET, BY REGION, 2018-2025 (USD MILLION)
  • TABLE 6 DESCRIPTIVE ANALYTICS MARKET, BY COUNTRY, 2018-2025 (USD MILLION)
  • TABLE 7 PREDICTIVE ANALYTICS SOLUTIONS FOR HEALTHCARE FRAUD DETECTION
  • TABLE 8 PREDICTIVE ANALYTICS MARKET, BY REGION, 2018-2025 (USD MILLION)
  • TABLE 9 PREDICTIVE ANALYTICS MARKET, BY COUNTRY, 2018-2025 (USD MILLION)
  • TABLE 10 PRESCRIPTIVE ANALYTICS SOLUTIONS FOR HEALTHCARE FRAUD DETECTION
  • TABLE 11 PRESCRIPTIVE ANALYTICS MARKET, BY REGION, 2018-2025 (USD MILLION)
  • TABLE 12 PRESCRIPTIVE ANALYTICS MARKET, BY COUNTRY, 2018-2025 (USD MILLION)
  • TABLE 13 HEALTHCARE FRAUD ANALYTICS MARKET, BY DELIVERY MODEL, 2018-2025 (USD MILLION)
  • TABLE 14 KEY VENDORS OFFERING ON-PREMISE SOLUTIONS IN THE MARKET
  • TABLE 15 HEALTHCARE FRAUD ANALYTICS MARKET FOR ON-PREMISE DELIVERY MODELS, BY REGION, 2018-2025 (USD MILLION)
  • TABLE 16 HEALTHCARE FRAUD ANALYTICS MARKET FOR ON-PREMISE DELIVERY MODELS, BY COUNTRY, 2018-2025 (USD MILLION)
  • TABLE 17 KEY VENDORS PROVIDING ON-DEMAND SOLUTIONS
  • TABLE 18 HEALTHCARE FRAUD ANALYTICS MARKET FOR ON-DEMAND DELIVERY MODELS, BY REGION, 2018-2025 (USD MILLION)
  • TABLE 19 HEALTHCARE FRAUD ANALYTICS MARKET FOR ON-DEMAND DELIVERY MODELS, BY COUNTRY, 2018-2025 (USD MILLION)
  • TABLE 20 HEALTHCARE FRAUD ANALYTICS MARKET, BY APPLICATION, 2018-2025 (USD MILLION)
  • TABLE 21 DEPLOYMENT OF PREPAYMENT VS. POSTPAYMENT ANALYTICS SYSTEMS
  • TABLE 22 HEALTHCARE FRAUD ANALYTICS MARKET FOR INSURANCE CLAIMS REVIEW, BY TYPE, 2018-2025 (USD MILLION)
  • TABLE 23 HEALTHCARE FRAUD ANALYTICS MARKET FOR INSURANCE CLAIMS REVIEW, BY REGION, 2018-2025 (USD MILLION)
  • TABLE 24 HEALTHCARE FRAUD ANALYTICS MARKET FOR INSURANCE CLAIMS REVIEW, BY COUNTRY, 2018-2025 (USD MILLION)
  • TABLE 25 HEALTHCARE FRAUD ANALYTICS MARKET FOR POSTPAYMENT CLAIMS REVIEW, BY REGION, 2018-2025 (USD MILLION)
  • TABLE 26 HEALTHCARE FRAUD ANALYTICS MARKET FOR POSTPAYMENT CLAIMS REVIEW, BY COUNTRY, 2018-2025 (USD MILLION)
  • TABLE 27 HEALTHCARE FRAUD ANALYTICS MARKET FOR PREPAYMENT CLAIMS REVIEW, BY REGION, 2018-2025 (USD MILLION)
  • TABLE 28 HEALTHCARE FRAUD ANALYTICS MARKET FOR PREPAYMENT CLAIMS REVIEW, BY COUNTRY, 2018-2025 (USD MILLION)
  • TABLE 29 HEALTHCARE FRAUD ANALYTICS MARKET FOR PHARMACY BILLING MISUSE APPLICATIONS, BY REGION, 2018-2025 (USD MILLION)
  • TABLE 30 HEALTHCARE FRAUD ANALYTICS MARKET FOR PHARMACY BILLING MISUSE APPLICATIONS, BY COUNTRY, 2018-2025 (USD MILLION)
  • TABLE 31 HEALTHCARE FRAUD ANALYTICS MARKET FOR PAYMENT INTEGRITY APPLICATIONS, BY REGION, 2018-2025 (USD MILLION)
  • TABLE 32 HEALTHCARE FRAUD ANALYTICS MARKET FOR PAYMENT INTEGRITY APPLICATIONS, BY COUNTRY, 2018-2025 (USD MILLION)
  • TABLE 33 HEALTHCARE FRAUD ANALYTICS MARKET FOR OTHER APPLICATIONS, BY REGION, 2018-2025 (USD MILLION)
  • TABLE 34 HEALTHCARE FRAUD ANALYTICS MARKET FOR OTHER APPLICATIONS, BY COUNTRY, 2018-2025 (USD MILLION)
  • TABLE 35 HEALTHCARE FRAUD ANALYTICS MARKET, BY END USER, 2018-2025 (USD MILLION)
  • TABLE 36 HEALTHCARE FRAUD ANALYTICS MARKET FOR PUBLIC & GOVERNMENT AGENCIES, BY REGION, 2018-2025 (USD MILLION)
  • TABLE 37 HEALTHCARE FRAUD ANALYTICS MARKET FOR PUBLIC & GOVERNMENT AGENCIES, BY COUNTRY, 2018-2025 (USD MILLION)
  • TABLE 38 HEALTHCARE FRAUD ANALYTICS MARKET FOR PRIVATE INSURANCE PAYERS, BY REGION, 2018-2025 (USD MILLION)
  • TABLE 39 HEALTHCARE FRAUD ANALYTICS MARKET FOR PRIVATE INSURANCE PAYERS, BY COUNTRY, 2018-2025 (USD MILLION)
  • TABLE 40 HEALTHCARE FRAUD ANALYTICS MARKET FOR THIRD-PARTY SERVICE PROVIDERS, BY REGION, 2018-2025 (USD MILLION)
  • TABLE 41 HEALTHCARE FRAUD ANALYTICS MARKET FOR THIRD-PARTY SERVICE PROVIDERS, BY COUNTRY, 2018-2025 (USD MILLION)
  • TABLE 42 HEALTHCARE FRAUD ANALYTICS MARKET FOR EMPLOYERS, BY REGION, 2018-2025 (USD MILLION)
  • TABLE 43 HEALTHCARE FRAUD ANALYTICS MARKET FOR EMPLOYERS, BY COUNTRY, 2018-2025 (USD MILLION)
  • TABLE 44 HEALTHCARE FRAUD ANALYTICS MARKET, BY REGION, 2018-2025 (USD MILLION)
  • TABLE 45 NORTH AMERICA: HEALTHCARE FRAUD ANALYTICS MARKET, BY COUNTRY, 2018-2025 (USD MILLION)
  • TABLE 46 NORTH AMERICA: HEALTHCARE FRAUD ANALYTICS MARKET, BY DELIVERY MODEL, 2018-2025 (USD MILLION)
  • TABLE 47 NORTH AMERICA: HEALTHCARE FRAUD ANALYTICS MARKET, BY SOLUTION TYPE, 2018-2025 (USD MILLION)
  • TABLE 48 NORTH AMERICA: HEALTHCARE FRAUD ANALYTICS MARKET, BY APPLICATION, 2018-2025 (USD MILLION)
  • TABLE 49 NORTH AMERICA: HEALTHCARE FRAUD ANALYTICS MARKET FOR INSURANCE CLAIMS REVIEW, BY TYPE, 2018-2025 (USD MILLION)
  • TABLE 50 NORTH AMERICA: HEALTHCARE FRAUD ANALYTICS MARKET, BY END USER, 2018-2025 (USD MILLION)
  • TABLE 51 US: HEALTHCARE FRAUD ANALYTICS MARKET, BY DELIVERY MODEL, 2018-2025 (USD MILLION)
  • TABLE 52 US: HEALTHCARE FRAUD ANALYTICS MARKET, BY SOLUTION TYPE, 2018-2025 (USD MILLION)
  • TABLE 53 US: HEALTHCARE FRAUD ANALYTICS MARKET, BY APPLICATION, 2018-2025 (USD MILLION)
  • TABLE 54 US: HEALTHCARE FRAUD ANALYTICS MARKET FOR INSURANCE CLAIMS REVIEW, BY TYPE, 2018-2025 (USD MILLION)
  • TABLE 55 US: HEALTHCARE FRAUD ANALYTICS MARKET, BY END USER, 2018-2025 (USD MILLION)
  • TABLE 56 CANADA: HEALTHCARE FRAUD ANALYTICS MARKET, BY DELIVERY MODEL, 2018-2025 (USD MILLION)
  • TABLE 57 CANADA: HEALTHCARE FRAUD ANALYTICS MARKET, BY SOLUTION TYPE, 2018-2025 (USD MILLION)
  • TABLE 58 CANADA: HEALTHCARE FRAUD ANALYTICS MARKET, BY APPLICATION, 2018-2025 (USD MILLION)
  • TABLE 59 CANADA: HEALTHCARE FRAUD ANALYTICS MARKET FOR INSURANCE CLAIMS REVIEW, BY TYPE, 2018-2025 (USD MILLION)
  • TABLE 60 CANADA: HEALTHCARE FRAUD ANALYTICS MARKET, BY END USER, 2018-2025 (USD MILLION)
  • TABLE 61 LIST OF SOME OF THE EHFCN MEMBER ORGANIZATION ACROSS EUROPE
  • TABLE 62 EUROPE: HEALTHCARE FRAUD ANALYTICS MARKET, BY COUNTRY, 2018-2025 (USD MILLION)
  • TABLE 63 EUROPE: HEALTHCARE FRAUD ANALYTICS MARKET, BY DELIVERY MODEL, 2018-2025 (USD MILLION)
  • TABLE 64 EUROPE: HEALTHCARE FRAUD ANALYTICS MARKET, BY SOLUTION TYPE, 2018-2025 (USD MILLION)
  • TABLE 65 EUROPE: HEALTHCARE FRAUD ANALYTICS MARKET, BY APPLICATION, 2018-2025 (USD MILLION)
  • TABLE 66 EUROPE: HEALTHCARE FRAUD ANALYTICS MARKET FOR INSURANCE CLAIMS REVIEW, BY TYPE, 2018-2025 (USD MILLION)
  • TABLE 67 EUROPE: HEALTHCARE FRAUD ANALYTICS MARKET, BY END USER, 2018-2025 (USD MILLION)
  • TABLE 68 GERMANY: HEALTHCARE FRAUD ANALYTICS MARKET, BY DELIVERY MODEL, 2018-2025 (USD MILLION)
  • TABLE 69 GERMANY: HEALTHCARE FRAUD ANALYTICS MARKET, BY SOLUTION TYPE, 2018-2025 (USD MILLION)
  • TABLE 70 GERMANY: HEALTHCARE FRAUD ANALYTICS MARKET, BY APPLICATION, 2018-2025 (USD MILLION)
  • TABLE 71 GERMANY: HEALTHCARE FRAUD ANALYTICS MARKET FOR INSURANCE CLAIMS REVIEW, BY TYPE, 2018-2025 (USD MILLION)
  • TABLE 72 GERMANY: HEALTHCARE FRAUD ANALYTICS MARKET, BY END USER, 2018-2025 (USD MILLION)
  • TABLE 73 UK: HEALTHCARE FRAUD ANALYTICS MARKET, BY DELIVERY MODEL, 2018-2025 (USD MILLION)
  • TABLE 74 UK: HEALTHCARE FRAUD ANALYTICS MARKET, BY SOLUTION TYPE, 2018-2025 (USD MILLION)
  • TABLE 75 UK: HEALTHCARE FRAUD ANALYTICS MARKET, BY APPLICATION, 2018-2025 (USD MILLION)
  • TABLE 76 UK: HEALTHCARE FRAUD ANALYTICS MARKET FOR INSURANCE CLAIMS REVIEW, BY TYPE, 2018-2025 (USD MILLION)
  • TABLE 77 UK: HEALTHCARE FRAUD ANALYTICS MARKET, BY END USER, 2018-2025 (USD MILLION)
  • TABLE 78 FRANCE: HEALTHCARE FRAUD ANALYTICS MARKET, BY DELIVERY MODEL, 2018-2025 (USD MILLION)
  • TABLE 79 FRANCE: HEALTHCARE FRAUD ANALYTICS MARKET, BY SOLUTION TYPE, 2018-2025 (USD MILLION)
  • TABLE 80 FRANCE: HEALTHCARE FRAUD ANALYTICS MARKET, BY APPLICATION, 2018-2025 (USD MILLION)
  • TABLE 81 FRANCE: HEALTHCARE FRAUD ANALYTICS MARKET FOR INSURANCE CLAIMS REVIEW, BY TYPE, 2018-2025 (USD MILLION)
  • TABLE 82 FRANCE: HEALTHCARE FRAUD ANALYTICS MARKET, BY END USER, 2018-2025 (USD MILLION)
  • TABLE 83 ROE: HEALTHCARE FRAUD ANALYTICS MARKET, BY DELIVERY MODEL, 2018-2025 (USD MILLION)
  • TABLE 84 ROE: HEALTHCARE FRAUD ANALYTICS MARKET, BY SOLUTION TYPE, 2018-2025 (USD MILLION)
  • TABLE 85 ROE: HEALTHCARE FRAUD ANALYTICS MARKET, BY APPLICATION, 2018-2025 (USD MILLION)
  • TABLE 86 ROE: HEALTHCARE FRAUD ANALYTICS MARKET FOR INSURANCE CLAIMS REVIEW, BY TYPE, 2018-2025 (USD MILLION)
  • TABLE 87 ROE: HEALTHCARE FRAUD ANALYTICS MARKET, BY END USER, 2018-2025 (USD MILLION)
  • TABLE 88 ASIA PACIFIC: HEALTHCARE FRAUD ANALYTICS MARKET, BY DELIVERY MODEL, 2018-2025 (USD MILLION)
  • TABLE 89 ASIA PACIFIC: HEALTHCARE FRAUD ANALYTICS MARKET, BY SOLUTION TYPE, 2018-2025 (USD MILLION)
  • TABLE 90 ASIA PACIFIC: HEALTHCARE FRAUD ANALYTICS MARKET, BY APPLICATION, 2018-2025 (USD MILLION)
  • TABLE 91 ASIA PACIFIC: HEALTHCARE FRAUD ANALYTICS MARKET FOR INSURANCE CLAIMS REVIEW, BY TYPE, 2018-2025 (USD MILLION)
  • TABLE 92 ASIA PACIFIC: HEALTHCARE FRAUD ANALYTICS MARKET, BY END USER, 2018-2025 (USD MILLION)
  • TABLE 93 LATIN AMERICA: HEALTHCARE FRAUD ANALYTICS MARKET, BY DELIVERY MODEL, 2018-2025 (USD MILLION)
  • TABLE 94 LATIN AMERICA: HEALTHCARE FRAUD ANALYTICS MARKET, BY SOLUTION TYPE, 2018-2025 (USD MILLION)
  • TABLE 95 LATIN AMERICA: HEALTHCARE FRAUD ANALYTICS MARKET, BY APPLICATION, 2018-2025 (USD MILLION)
  • TABLE 96 LATIN AMERICA: HEALTHCARE FRAUD ANALYTICS MARKET FOR INSURANCE CLAIMS REVIEW, BY TYPE, 2018-2025 (USD MILLION)
  • TABLE 97 LATIN AMERICA: HEALTHCARE FRAUD ANALYTICS MARKET, BY END USER, 2018-2025 (USD MILLION)
  • TABLE 98 MEA: HEALTHCARE FRAUD ANALYTICS MARKET, BY DELIVERY MODEL, 2018-2025 (USD MILLION)
  • TABLE 99 MEA: HEALTHCARE FRAUD ANALYTICS MARKET, BY SOLUTION TYPE, 2018-2025 (USD MILLION)
  • TABLE 100 MEA: HEALTHCARE FRAUD ANALYTICS MARKET, BY APPLICATION, 2018-2025 (USD MILLION)
  • TABLE 101 MEA: HEALTHCARE FRAUD ANALYTICS MARKET FOR INSURANCE CLAIMS REVIEW, BY TYPE, 2018-2025 (USD MILLION)
  • TABLE 102 MEA: HEALTHCARE FRAUD ANALYTICS MARKET, BY END USER, 2018-2025 (USD MILLION)
  • TABLE 103 MERGERS, ACQUISITIONS, AND JOINT VENTURES: JANUARY 2017-DECEMBER 2019
  • TABLE 104 COLLABORATIONS, PARTNERSHIPS, AND AGREEMENTS: JANUARY 2017-DECEMBER 2019
  • TABLE 105 EXPANSIONS: JANUARY 2017-DECEMBER 2019

LIST OF FIGURES

  • FIGURE 1 RESEARCH DESIGN
  • FIGURE 2 BREAKDOWN OF PRIMARY INTERVIEWS: BY COMPANY TYPE, DESIGNATION, AND REGION
  • FIGURE 3 DATA TRIANGULATION METHODOLOGY
  • FIGURE 4 HEALTHCARE FRAUD ANALYTICS MARKET, BY SOLUTION TYPE, 2020 VS. 2025 (USD MILLION)
  • FIGURE 5 HEALTHCARE FRAUD ANALYTICS MARKET, BY DELIVERY MODEL, 2020 VS. 2025 (USD MILLION)
  • FIGURE 6 HEALTHCARE FRAUD ANALYTICS MARKET, BY APPLICATION, 2020 VS. 2025 (USD MILLION)
  • FIGURE 7 HEALTHCARE FRAUD ANALYTICS MARKET, BY END USER, 2020 VS. 2025 (USD MILLION)
  • FIGURE 8 GEOGRAPHICAL SNAPSHOT OF THE HEALTHCARE FRAUD ANALYTICS MARKET
  • FIGURE 9 LARGE NUMBER OF FRAUDULENT ACTIVITIES IN HEALTHCARE TO DRIVE MARKET GROWTH
  • FIGURE 10 DESCRIPTIVE ANALYTICS SEGMENT ACCOUNTED FOR THE LARGEST SHARE OF THE APAC HEALTHCARE FRAUD ANALYTICS MARKET IN 2019
  • FIGURE 11 APAC MARKET TO REGISTER THE HIGHEST GROWTH DURING THE FORECAST PERIOD
  • FIGURE 12 NORTH AMERICA WILL CONTINUE TO DOMINATE THE MARKET IN 2025
  • FIGURE 13 DEVELOPING REGIONS TO REGISTER HIGHER GROWTH DURING THE FORECAST PERIOD
  • FIGURE 14 HEALTHCARE FRAUD ANALYTICS MARKET: DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES
  • FIGURE 15 US NATIONAL HEALTHCARE FRAUD AND OPIOID TAKEDOWN TRENDS
  • FIGURE 16 INCIDENCE OF FRAUDULENT CLAIMS-GLOBAL SCENARIO (2017)
  • FIGURE 17 MAJOR MERGERS AND ACQUISITIONS IN THE HEALTHCARE FRAUD ANALYTICS MARKET
  • FIGURE 18 NORTH AMERICA: HEALTHCARE FRAUD ANALYTICS MARKET SNAPSHOT
  • FIGURE 19 EUROPE: HEALTHCARE FRAUD ANALYTICS MARKET SNAPSHOT
  • FIGURE 20 ASIA PACIFIC: HEALTHCARE FRAUD ANALYTICS MARKET SNAPSHOT
  • FIGURE 21 KEY DEVELOPMENTS IN THE HEALTHCARE FRAUD ANALYTICS MARKET BETWEEN JANUARY 2017 AND DECEMBER 2019
  • FIGURE 22 HEALTHCARE FRAUD ANALYTICS MARKET: COMPETITIVE LEADERSHIP MAPPING, 2019
  • FIGURE 23 COMPANY SNAPSHOT: IBM
  • FIGURE 24 COMPANY SNAPSHOT: FAIR ISAAC CORPORATION
  • FIGURE 25 COMPANY SNAPSHOT: EXL SERVICE HOLDINGS, INC.
  • FIGURE 26 COMPANY SNAPSHOT: WIPRO LIMITED
  • FIGURE 27 COMPANY SNAPSHOT: CONDUENT, INC.
  • FIGURE 28 COMPANY SNAPSHOT: HCL TECHNOLOGIES
  • FIGURE 29 COMPANY SNAPSHOT: CGI GROUP 126  
  • FIGURE 30 COMPANY SNAPSHOT: DXC TECHNOLOGY COMPANY
  • FIGURE 31 COMPANY SNAPSHOT: NORTHROP GRUMMAN CORPORATION
  • FIGURE 32 COMPANY SNAPSHOT: RELX GROUP