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市場調查報告書

全球醫療產業詐欺偵測市場:至2024年的預測

Global Healthcare Fraud Detection Market Research Report - Forecast till 2024

出版商 Market Research Future 商品編碼 919860
出版日期 內容資訊 英文 160 Pages
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全球醫療產業詐欺偵測市場:至2024年的預測 Global Healthcare Fraud Detection Market Research Report - Forecast till 2024
出版日期: 2019年11月30日內容資訊: 英文 160 Pages
簡介

本報告提供全球醫療產業詐欺偵測市場的相關調查,市場機會,成長及阻礙因素,各類型、零組件、傳送模式、用途、終端用戶、地區的市場分析,競爭情形,主要企業的簡介等資訊。

目錄

第1章 摘要整理

  • 各類型
  • 各零件
  • 各傳送模式
  • 各用途
  • 各終端用戶

第2章 市場概要

  • 定義
  • 調查範圍
  • 調查目的
  • 市場結構

第3章 調查方法

  • 調查方法
  • 一次調查
  • 二次調查
  • 市場規模的估計
  • 預測模式

第4章 市場動態

  • 簡介
  • 成長要素
    • 醫療領域的違法行為的數量的增加
    • 選擇健康保險的患者的增加
    • 醫療費的增加
  • 阻礙因素
    • 新興地區不同意採用醫療欺詐分析
  • 市場機會
    • 醫療保健詐騙的檢測的AI

第5章 市場要素分析

  • 價值鏈分析
    • 輸入
    • 軟體開發過程
    • 輸出
    • 行銷、流通
  • 波特的五力分析
    • 供應商談判力
    • 買主談判力
    • 新的進入者的威脅
    • 替代威脅
    • 產業內的競爭

第6章 市場分析:各類型

  • 概要
  • 說明的分析
  • 預測分析
  • 處方分析

第7章 市場分析:各零件

  • 概要
  • 服務
  • 軟體

第8章 市場分析:各傳送模式

  • 概要
  • 內部部署
  • 雲端基礎

第9章 市場分析:各用途

  • 概要
  • 保險申請的檢討
  • 支付的完全性

第10章 市場分析:各終端用戶

  • 概要
  • 個人保險費
  • 公共/政府機關
  • 第三方的服務供應商

第11章 市場分析:各地區

  • 概要
  • 南北美洲
    • 北美
    • 南美
  • 歐洲
    • 西歐
    • 東歐
  • 亞太地區
    • 日本
    • 中國
    • 印度
    • 澳洲
    • 韓國
    • 其他
  • 中東、非洲
    • 中東
    • 非洲

第12章 競爭情形

  • 簡介
  • 競爭概要

第13章 企業簡介

  • INTERNATIONAL BUSINESS MACHINES CORPORATION
  • UNITEDHEALTH GROUP
  • SAS INSTITUTE INC.
  • FAIR ISAAC CORPORATION
  • MCKESSON CORPORATION
  • EXLSERVICE HOLDINGS, INC.
  • DXC TECHNOLOGY COMPANY
  • LEXISNEXIS
  • COTIVITI, INC.
  • WIPRO LIMITED
  • CGI INC.

第14章 附錄

  • 參考文獻
  • 相關報告

本網頁內容可能與最新版本有所差異。詳細情況請與我們聯繫。

目錄

Title:
Global Healthcare Fraud Detection Market:
Information by Type (Descriptive Analytics, Predictive Analytics and Prescriptive Analytics), by Component (Services and Software), by Delivery Model (On-Premise and Cloud-Based), by Application (Insurance Claims Review and Payment Integrity), by End User (Private Insurance Payers, Public/Government Agencies and Third Party Service Providers) and by Region (North America, Europe, Asia-Pacific and the Middle East & Africa) - Forecast till 2024.

Market analysis

Generally, the major market performers are actively participating in business advancement in the healthcare fraud detection and related organizations. For illustration, in 2019 Optum, Inc. purchased DaVita Medical Group, one of the foremost independent medical groups in the US. Frauds in healthcare increase the burden on the healthcare industry as a rise in the healthcare cost directly involve the products and services. The global healthcare fraud detection market is in the growing healthcare business continuum. The factors driving global healthcare fraud detection market are the rising number of patients opting for health insurance, an increase in the incidents of fraudulent activities, the escalation in healthcare expenditure, and others. However, the unwillingness of the end users to adopt healthcare fraud analytics systems in growing regions are likely to restrain the growth of the global healthcare fraud detection market during the forecast period. For example, agreeing to the National Health Care Anti-Fraud Association (NHCAA) the financial losses suffered from healthcare frauds add up to roughly USD 10 billion each year. This suggests that there is a looming need to detect fraudulent activities in healthcare business which in turn will boost the global healthcare fraud detection market. Healthcare fraud is a misrepresentation or intentional deception of facts by either healthcare specialists or patients, which can cause in illicit disbursements or advantages.

Market segmentation

The Global Healthcare Fraud Detection Market is segmented based on type, component, delivery model, application, end user and region respectively. Based on component, the market has been bifurcated into services and software. By application, the global healthcare fraud detection market has been split into insurance claims review and payment integrity. Because of type healthcare fraud detection market has been separated into scientific analytics, predictive analytics, and prescriptive analytics. Descriptive analytics uses historical data to analyze the changes that have been made. It is helpful for the hospitals to analyze the total revenue produced per patient, month-over-month sales growth, and year-over-year pricing modifications, thus correctly retaining the related records. This information is used to analyze or understand the proceeds cycle during a set period. The prognostic analytics is also termed as a supervised learning technique. This model is built based on the past data which contains fraud or non-fraud indicators along with different elements such as the number of patients, bill amount, treatment characteristics, reporting lags, years of experience of the doctor, and the number of patient visits. Different organizations such as the National Health Care Anti-Fraud Association and the European Healthcare Fraud and Corruption Network (EHFCN) are involved in countering fraud in the healthcare sector. Based on end user the market has been classified as private insurance payers, public/government agencies, and third-party service sources.

Regional analysis

Geographically the Global Healthcare Fraud Detection Market is split in regions like North & South America, Europe, Asia-Pacific, Middle east and Africa and Rest of the world. The Asia-Pacific region has been labeled as China, India, Japan, and the rest of Asia-Pacific. It retains the third-largest position in the healthcare fraud detection market. Europe held the second-leading market share owing to the high recognition of healthcare fraud detection by the exclusive protection payers. The Europe region is further accounted into Western Europe and Eastern Europe. Western Europe, based on countries has been, segmented into Germany, the UK, France, Italy, Spain, and the rest of Western Europe. The Middle East & Africa is anticipated to witness a astonishing growth owing to the developments in the healthcare services, such as hospitals, clinics, and others. The Americas settled for a market share of 49.97% in 2018. Americas is sub-segmented into North America and South America. North America has been further sub-settled into the US and Canada.

Major players

The proposed spectators in the Global Healthcare Fraud Detection Market are manufacturers, Retailers, distributors, wholesalers, Investors and trade experts, Governments, associations, industrial bodies, etc. The troupe's operation in the global healthcare fraud exposure market are focusing on product launches, along with enlarging their global footprints by entering available markets. The major companies functioning in the Global Healthcare Fraud Detection Market are concentrating on firming their global ways by entering into untouched markets. The projected onlookers in the Global Healthcare Fraud Detection Market are companies like International Business Machines Corporation (IBM), UNITEDHEALTH group, SAS Institute Inc., FAIR ISAAC Corporation, McKesson Corporation, EXLSERVICE Holdings, Inc., DXC Technology Company, LEXISNEXIS, COTIVITI INC., WIPRO LIMITED, and CGI INC.

TABLE OF CONTENTS

1. EXECUTIVE SUMMARY

  • 1.1. GLOBAL HEALTHCARE FRAUD DETECTION MARKET, BY TYPE
  • 1.2. GLOBAL HEALTHCARE FRAUD DETECTION MARKET, BY COMPONENT
  • 1.3. GLOBAL HEALTHCARE FRAUD DETECTION MARKET, BY DELIVERY MODEL
  • 1.4. GLOBAL HEALTHCARE FRAUD DETECTION MARKET, BY APPLICATION
  • 1.5. GLOBAL HEALTHCARE FRAUD DETECTION MARKET, BY END USER

2. MARKET INTRODUCTION

  • 2.1. DEFINITION
  • 2.2. SCOPE OF THE STUDY
  • 2.3. RESEARCH OBJECTIVE
  • 2.4. MARKET STRUCTURE

3. RESEARCH METHODOLOGY

  • 3.1. RESEARCH PROCESS
  • 3.2. PRIMARY RESEARCH
  • 3.3. SECONDARY RESEARCH
  • 3.4. MARKET SIZE ESTIMATION
  • 3.5. FORECAST MODEL

4. MARKET DYNAMICS

  • 4.1. INTRODUCTION
  • 4.2. DRIVERS
    • 4.2.1. INCREASE IN THE NUMBER OF FRAUDULENT ACTIVITIES IN HEALTHCARE
    • 4.2.2. THE RISING NUMBER OF PATIENTS OPTING FOR HEALTH INSURANCE
    • 4.2.3. THE ESCALATION IN HEALTHCARE EXPENDITURE
  • 4.3. RESTRAINTS
    • 4.3.1. UNWILLINGNESS TO ADOPT HEALTHCARE FRAUD ANALYTICS IN DEVELOPING REGIONS
  • 4.4. OPPORTUNITIES
    • 4.4.1. AI IN HEALTHCARE FRAUD DETECTION

5. MARKET FACTOR ANALYSIS

  • 5.1. VALUE CHAIN ANALYSIS
    • 5.1.1. INPUTS
    • 5.1.2. SOFTWARE DEVELOPMENT PROCESSES
    • 5.1.3. OUTPUT
    • 5.1.4. MARKETING AND DISTRIBUTION
  • 5.2. PORTER'S FIVE FORCES MODEL
    • 5.2.1. BARGAINING POWER OF SUPPLIERS
    • 5.2.2. BARGAINING POWER OF BUYERS
    • 5.2.3. THE THREAT OF NEW ENTRANTS
    • 5.2.4. THREAT OF SUBSTITUTES
    • 5.2.5. INTENSITY OF RIVALRY

6. GLOBAL HEALTHCARE FRAUD DETECTION MARKET, BY TYPE

  • 6.1. OVERVIEW
  • 6.2. DESCRIPTIVE ANALYTICS
  • 6.3. PREDICTIVE ANALYTICS
  • 6.4. PRESCRIPTIVE ANALYTICS

7. GLOBAL HEALTHCARE FRAUD DETECTION MARKET, BY COMPONENT

  • 7.1. OVERVIEW
  • 7.2. SERVICES
  • 7.3. SOFTWARE

8. GLOBAL HEALTHCARE FRAUD DETECTION MARKET, BY DELIVERY MODEL

  • 8.1. OVERVIEW
  • 8.2. ON-PREMISE
  • 8.3. CLOUD BASED

9. GLOBAL HEALTHCARE FRAUD DETECTION MARKET, BY APPLICATION

  • 9.1. OVERVIEW
  • 9.2. INSURANCE CLAIMS REVIEW
  • 9.3. PAYMENT INTEGRITY

10. GLOBAL HEALTHCARE FRAUD DETECTION MARKET, BY END USER

  • 10.1. OVERVIEW
  • 10.2. PRIVATE INSURANCE PAYERS
  • 10.3. PUBLIC/GOVERNMENT AGENCIES
  • 10.4. THIRD PARTY SERVICE PROVIDERS

11. GLOBAL HEALTHCARE FRAUD DETECTION MARKET, BY REGION

  • 11.1. OVERVIEW
  • 11.2. AMERICAS
    • 11.2.1. NORTH AMERICA
    • 11.2.2. SOUTH AMERICA
  • 11.3. EUROPE
    • 11.3.1. WESTERN EUROPE
    • 11.3.2. EASTERN EUROPE
  • 11.4. ASIA-PACIFIC
    • 11.4.1. JAPAN
    • 11.4.2. CHINA
    • 11.4.3. INDIA
    • 11.4.4. AUSTRALIA
    • 11.4.5. SOUTH KOREA
    • 11.4.6. REST OF ASIA PACIFIC
  • 11.5. MIDDLE EAST & AFRICA
    • 11.5.1. MIDDLE EAST
    • 11.5.2. AFRICA

12. COMPETITIVE LANDSCAPE

  • 12.1. INTRODUCTION
  • 12.2. COMPETITIVE OVERVIEW

13. COMPANY PROFILES

  • 13.1. INTERNATIONAL BUSINESS MACHINES CORPORATION
    • 13.1.1. COMPANY OVERVIEW
    • 13.1.2. FINANCIAL OVERVIEW
    • 13.1.3. PRODUCTS/SERVICES OFFERED
    • 13.1.4. KEY DEVELOPMENTS
    • 13.1.5. SWOT ANALYSIS
    • 13.1.6. KEY STRATEGIES
  • 13.2. UNITEDHEALTH GROUP
    • 13.2.1. COMPANY OVERVIEW
    • 13.2.2. FINANCIAL OVERVIEW
    • 13.2.3. PRODUCTS/SERVICES OFFERED
    • 13.2.4. KEY DEVELOPMENTS
    • 13.2.5. SWOT ANALYSIS
    • 13.2.6. KEY STRATEGIES
  • 13.3. SAS INSTITUTE INC.
    • 13.3.1. COMPANY OVERVIEW
    • 13.3.2. FINANCIAL OVERVIEW
    • 13.3.3. PRODUCTS/SERVICES OFFERED
    • 13.3.4. KEY DEVELOPMENTS
    • 13.3.5. SWOT ANALYSIS
    • 13.3.6. KEY STRATEGIES
  • 13.4. FAIR ISAAC CORPORATION
    • 13.4.1. COMPANY OVERVIEW
    • 13.4.2. FINANCIAL OVERVIEW
    • 13.4.3. PRODUCTS/SERVICES OFFERED
    • 13.4.4. KEY DEVELOPMENTS
    • 13.4.5. SWOT ANALYSIS
    • 13.4.6. KEY STRATEGIES
  • 13.5. MCKESSON CORPORATION
    • 13.5.1. COMPANY OVERVIEW
    • 13.5.2. FINANCIAL OVERVIEW
    • 13.5.3. PRODUCTS/SERVICES OFFERED
    • 13.5.4. KEY DEVELOPMENTS
    • 13.5.5. SWOT ANALYSIS
    • 13.5.6. KEY STRATEGIES
  • 13.6. EXLSERVICE HOLDINGS, INC.
    • 13.6.1. COMPANY OVERVIEW
    • 13.6.2. FINANCIAL OVERVIEW
    • 13.6.3. PRODUCTS/SERVICES OFFERED
    • 13.6.4. KEY DEVELOPMENTS
    • 13.6.5. SWOT ANALYSIS
    • 13.6.6. KEY STRATEGIES
  • 13.7. DXC TECHNOLOGY COMPANY
    • 13.7.1. COMPANY OVERVIEW
    • 13.7.2. FINANCIAL OVERVIEW
    • 13.7.3. PRODUCTS/SERVICES OFFERED
    • 13.7.4. KEY DEVELOPMENTS
    • 13.7.5. SWOT ANALYSIS
    • 13.7.6. KEY STRATEGIES
  • 13.8. LEXISNEXIS
    • 13.8.1. COMPANY OVERVIEW
    • 13.8.2. FINANCIAL OVERVIEW
    • 13.8.3. PRODUCTS/SERVICES OFFERED
    • 13.8.4. KEY DEVELOPMENTS
    • 13.8.5. SWOT ANALYSIS
    • 13.8.6. KEY STRATEGIES
  • 13.9. COTIVITI, INC.
    • 13.9.1. COMPANY OVERVIEW
    • 13.9.2. FINANCIAL OVERVIEW
    • 13.9.3. PRODUCTS/SERVICES OFFERED
    • 13.9.4. KEY DEVELOPMENTS
    • 13.9.5. SWOT ANALYSIS
    • 13.9.6. KEY STRATEGIES
  • 13.10. WIPRO LIMITED
    • 13.10.1. COMPANY OVERVIEW
    • 13.10.2. FINANCIAL OVERVIEW
    • 13.10.3. PRODUCTS/SERVICES OFFERED
    • 13.10.4. KEY DEVELOPMENTS
    • 13.10.5. SWOT ANALYSIS
    • 13.10.6. KEY STRATEGIES
  • 13.11. CGI INC.
    • 13.11.1. COMPANY OVERVIEW
    • 13.11.2. FINANCIAL OVERVIEW
    • 13.11.3. PRODUCTS/SERVICES OFFERED
    • 13.11.4. KEY DEVELOPMENTS
    • 13.11.5. SWOT ANALYSIS
    • 13.11.6. KEY STRATEGIES

14. APPENDIX

  • 14.1. REFERENCES
  • 14.2. RELATED REPORTS

LIST OF TABLES

  • TABLE 1: PRIMARY INTERVIEWS
  • TABLE 2: GLOBAL HEALTHCARE FRAUD DETECTION MARKET, BY TYPE 2016-2024 (USD MILLION)
  • TABLE 3: DESCRIPTIVE ANALYTICS: MARKET ESTIMATES & FORECAST, BY REGION, 2016-2024 (USD MILLION)
  • TABLE 4: DISPLAY SYSTEMS: MARKET ESTIMATES & FORECAST, BY REGION, 2016-2024 (USD MILLION)
  • TABLE 5: PRESCRIPTIVE ANALYTICS: MARKET ESTIMATES & FORECAST, BY REGION, 2016-2024 (USD MILLION)
  • TABLE 6: GLOBAL HEALTHCARE FRAUD DETECTION MARKET, BY COMPONENT 2016-2024 (USD MILLION)
  • TABLE 7: SERVICES: MARKET ESTIMATES & FORECAST, BY REGION, 2016-2024 (USD MILLION)
  • TABLE 8: SOFTWARE: MARKET ESTIMATES & FORECAST, BY REGION, 2016-2024 (USD MILLION)
  • TABLE 9: GLOBAL HEALTHCARE FRAUD DETECTION MARKET, BY DELIVERY MODEL 2016-2024 (USD MILLION)
  • TABLE 10: ON-PREMISE: MARKET ESTIMATES & FORECAST, BY REGION, 2016-2024 (USD MILLION)
  • TABLE 11: CLOUD BASED: MARKET ESTIMATES & FORECAST, BY REGION, 2016-2024 (USD MILLION)
  • TABLE 12: GLOBAL HEALTHCARE FRAUD DETECTION MARKET, BY APPLICATION 2016-2024 (USD MILLION)
  • TABLE 13: GLOBAL HEALTHCARE FRAUD DETECTION MARKET, FOR INSURANCE CLAIMS REVIEW, BY TYPE 2016-2024 (USD MILLION)
  • TABLE 14: INSURANCE CLAIMS REVIEW: MARKET ESTIMATES & FORECAST, BY REGION, 2016-2024 (USD MILLION)
  • TABLE 15: PAYMENT INTEGRITY: MARKET ESTIMATES & FORECAST, BY REGION, 2016-2024 (USD MILLION)
  • TABLE 16: GLOBAL HEALTHCARE FRAUD DETECTION MARKET, BY END USER 2016-2024 (USD MILLION)
  • TABLE 17: PRIVATE INSURANCE PAYERS: MARKET ESTIMATES & FORECAST, BY REGION, 2016-2024 (USD MILLION)
  • TABLE 18: PUBLIC/GOVERNMENT AGENCIES: MARKET ESTIMATES & FORECAST, BY REGION, 2016-2024 (USD MILLION)
  • TABLE 19: THIRD PARTY SERVICE PROVIDERS: MARKET ESTIMATES & FORECAST, BY REGION, 2016-2024 (USD MILLION)
  • TABLE 20: GLOBAL HEALTHCARE FRAUD DETECTION MARKET, BY REGION, 2016-2024 (USD MILLION)
  • TABLE 21: AMERICAS: HEALTHCARE FRAUD DETECTION MARKET, BY REGION, 2016-2024 (USD MILLION)
  • TABLE 22: AMERICAS: HEALTHCARE FRAUD DETECTION MARKET, BY TYPE, 2016-2024 (USD MILLION)
  • TABLE 23: AMERICAS: HEALTHCARE FRAUD DETECTION MARKET, BY COMPONENT, 2016-2024 (USD MILLION)
  • TABLE 24: AMERICAS: HEALTHCARE FRAUD DETECTION MARKET, BY DELIVERY MODEL, 2016-2024 (USD MILLION)
  • TABLE 25: AMERICAS: HEALTHCARE FRAUD DETECTION MARKET, BY APPLICATION, 2016-2024 (USD MILLION)
  • TABLE 26: AMERICAS: HEALTHCARE FRAUD DETECTION MARKET, FOR INSURANCE CLAIMS REVIEW, BY TYPE, 2016-2024 (USD MILLION)
  • TABLE 27: AMERICAS: HEALTHCARE FRAUD DETECTION MARKET, BY END USER, 2016-2024 (USD MILLION)
  • TABLE 28: NORTH AMERICA: HEALTHCARE FRAUD DETECTION MARKET, BY COUNTRY, 2016-2024 (USD MILLION)
  • TABLE 29: NORTH AMERICA: HEALTHCARE FRAUD DETECTION MARKET, BY TYPE, 2016-2024 (USD MILLION)
  • TABLE 30: NORTH AMERICA: HEALTHCARE FRAUD DETECTION MARKET, BY COMPONENT, 2016-2024 (USD MILLION)
  • TABLE 31: NORTH AMERICA: HEALTHCARE FRAUD DETECTION MARKET, BY DELIVERY MODEL, 2016-2024 (USD MILLION)
  • TABLE 32: NORTH AMERICA: HEALTHCARE FRAUD DETECTION MARKET, BY APPLICATION, 2016-2024 (USD MILLION)
  • TABLE 33: NORTH AMERICA: HEALTHCARE FRAUD DETECTION MARKET, FOR INSURANCE CLAIMS REVIEW, BY TYPE, 2016-2024 (USD MILLION)
  • TABLE 34: NORTH AMERICA: HEALTHCARE FRAUD DETECTION MARKET, BY END USER, 2016-2024 (USD MILLION)
  • TABLE 35: US: HEALTHCARE FRAUD DETECTION MARKET, BY TYPE, 2016-2024 (USD MILLION)
  • TABLE 36: US: HEALTHCARE FRAUD DETECTION MARKET, BY COMPONENT, 2016-2024 (USD MILLION)
  • TABLE 37: US: HEALTHCARE FRAUD DETECTION MARKET, BY DELIVERY MODEL, 2016-2024 (USD MILLION)
  • TABLE 38: US: HEALTHCARE FRAUD DETECTION MARKET, BY APPLICATION, 2016-2024 (USD MILLION)
  • TABLE 39: US: HEALTHCARE FRAUD DETECTION MARKET, FOR INSURANCE CLAIMS REVIEW, BY TYPE, 2016-2024 (USD MILLION)
  • TABLE 40: US: HEALTHCARE FRAUD DETECTION MARKET, BY END USER, 2016-2024 (USD MILLION)
  • TABLE 41: CANADA: HEALTHCARE FRAUD DETECTION MARKET, BY TYPE, 2016-2024 (USD MILLION)
  • TABLE 42: CANADA: HEALTHCARE FRAUD DETECTION MARKET, BY COMPONENT, 2016-2024 (USD MILLION)
  • TABLE 43: CANADA: HEALTHCARE FRAUD DETECTION MARKET, BY DELIVERY MODEL, 2016-2024 (USD MILLION)
  • TABLE 44: CANADA: HEALTHCARE FRAUD DETECTION MARKET, BY APPLICATION, 2016-2024 (USD MILLION)
  • TABLE 45: CANADA: HEALTHCARE FRAUD DETECTION MARKET, FOR INSURANCE CLAIMS REVIEW, BY TYPE, 2016-2024 (USD MILLION)
  • TABLE 46: CANADA: HEALTHCARE FRAUD DETECTION MARKET, BY END USER, 2016-2024 (USD MILLION)
  • TABLE 47: SOUTH AMERICA: HEALTHCARE FRAUD DETECTION MARKET, BY TYPE, 2016-2024 (USD MILLION)
  • TABLE 48: SOUTH AMERICA: HEALTHCARE FRAUD DETECTION MARKET, BY COMPONENT, 2016-2024 (USD MILLION)
  • TABLE 49: SOUTH AMERICA: HEALTHCARE FRAUD DETECTION MARKET, BY DELIVERY MODEL, 2016-2024 (USD MILLION)
  • TABLE 50: SOUTH AMERICA: HEALTHCARE FRAUD DETECTION MARKET, BY APPLICATION, 2016-2024 (USD MILLION)
  • TABLE 51: SOUTH AMERICA: HEALTHCARE FRAUD DETECTION MARKET, FOR INSURANCE CLAIMS REVIEW, BY TYPE, 2016-2024 (USD MILLION)
  • TABLE 52: SOUTH AMERICA: HEALTHCARE FRAUD DETECTION MARKET, BY END USER, 2016-2024 (USD MILLION)
  • TABLE 53: EUROPE: HEALTHCARE FRAUD DETECTION MARKET, BY REGION, 2016-2024 (USD MILLION)
  • TABLE 54: EUROPE: HEALTHCARE FRAUD DETECTION MARKET, BY TYPE, 2016-2024 (USD MILLION)
  • TABLE 55: EUROPE: HEALTHCARE FRAUD DETECTION MARKET, BY COMPONENT, 2016-2024 (USD MILLION)
  • TABLE 56: EUROPE: HEALTHCARE FRAUD DETECTION MARKET, BY DELIVERY MODEL, 2016-2024 (USD MILLION)
  • TABLE 57: EUROPE: HEALTHCARE FRAUD DETECTION MARKET, BY APPLICATION, 2016-2024 (USD MILLION)
  • TABLE 58: EUROPE: HEALTHCARE FRAUD DETECTION MARKET, FOR INSURANCE CLAIMS REVIEW, BY TYPE, 2016-2024 (USD MILLION)
  • TABLE 59: EUROPE: HEALTHCARE FRAUD DETECTION MARKET, BY END USER, 2016-2024 (USD MILLION)
  • TABLE 60: WESTERN EUROPE: HEALTHCARE FRAUD DETECTION MARKET, BY COUNTRY, 2016-2024 (USD MILLION)
  • TABLE 61: WESTERN EUROPE: HEALTHCARE FRAUD DETECTION MARKET, BY TYPE, 2016-2024 (USD MILLION)
  • TABLE 62: WESTERN EUROPE: HEALTHCARE FRAUD DETECTION MARKET, BY COMPONENT, 2016-2024 (USD MILLION)
  • TABLE 63: WESTERN EUROPE: HEALTHCARE FRAUD DETECTION MARKET, BY DELIVERY MODEL, 2016-2024 (USD MILLION)
  • TABLE 64: WESTERN EUROPE: HEALTHCARE FRAUD DETECTION MARKET, BY APPLICATION, 2016-2024 (USD MILLION)
  • TABLE 65: WESTERN EUROPE: HEALTHCARE FRAUD DETECTION MARKET, FOR INSURANCE CLAIMS REVIEW, BY TYPE, 2016-2024 (USD MILLION)
  • TABLE 66: WESTERN EUROPE: HEALTHCARE FRAUD DETECTION MARKET, BY END USER, 2016-2024 (USD MILLION)
  • TABLE 67: GERMANY: HEALTHCARE FRAUD DETECTION MARKET, BY TYPE, 2016-2024 (USD MILLION)
  • TABLE 68: GERMANY: HEALTHCARE FRAUD DETECTION MARKET, BY COMPONENT, 2016-2024 (USD MILLION)
  • TABLE 69: GERMANY: HEALTHCARE FRAUD DETECTION MARKET, BY DELIVERY MODEL, 2016-2024 (USD MILLION)
  • TABLE 70: GERMANY: HEALTHCARE FRAUD DETECTION MARKET, BY APPLICATION, 2016-2024 (USD MILLION)
  • TABLE 71: GERMANY: HEALTHCARE FRAUD DETECTION MARKET, FOR INSURANCE CLAIMS REVIEW, BY TYPE, 2016-2024 (USD MILLION)
  • TABLE 72: GERMANY: HEALTHCARE FRAUD DETECTION MARKET, BY END USER, 2016-2024 (USD MILLION)
  • TABLE 73: UK: HEALTHCARE FRAUD DETECTION MARKET, BY TYPE, 2016-2024 (USD MILLION)
  • TABLE 74: UK: HEALTHCARE FRAUD DETECTION MARKET, BY COMPONENT, 2016-2024 (USD MILLION)
  • TABLE 75: UK: HEALTHCARE FRAUD DETECTION MARKET, BY DELIVERY MODEL, 2016-2024 (USD MILLION)
  • TABLE 76: UK: HEALTHCARE FRAUD DETECTION MARKET, BY APPLICATION, 2016-2024 (USD MILLION)
  • TABLE 77: UK: HEALTHCARE FRAUD DETECTION MARKET, FOR INSURANCE CLAIMS REVIEW, BY TYPE, 2016-2024 (USD MILLION)
  • TABLE 78: UK: HEALTHCARE FRAUD DETECTION MARKET, BY END USER, 2016-2024 (USD MILLION)
  • TABLE 79: FRANCE: HEALTHCARE FRAUD DETECTION MARKET, BY TYPE, 2016-2024 (USD MILLION)
  • TABLE 80: FRANCE: HEALTHCARE FRAUD DETECTION MARKET, BY COMPONENT, 2016-2024 (USD MILLION)
  • TABLE 81: FRANCE: HEALTHCARE FRAUD DETECTION MARKET, BY DELIVERY MODEL, 2016-2024 (USD MILLION)
  • TABLE 82: FRANCE: HEALTHCARE FRAUD DETECTION MARKET, BY APPLICATION, 2016-2024 (USD MILLION)
  • TABLE 83: FRANCE: HEALTHCARE FRAUD DETECTION MARKET, FOR INSURANCE CLAIMS REVIEW, BY TYPE, 2016-2024 (USD MILLION)
  • TABLE 84: FRANCE: HEALTHCARE FRAUD DETECTION MARKET, BY END USER, 2016-2024 (USD MILLION)
  • TABLE 85: ITALY: HEALTHCARE FRAUD DETECTION MARKET, BY TYPE, 2016-2024 (USD MILLION)
  • TABLE 86: ITALY: HEALTHCARE FRAUD DETECTION MARKET, BY COMPONENT, 2016-2024 (USD MILLION)
  • TABLE 87: ITALY: HEALTHCARE FRAUD DETECTION MARKET, BY DELIVERY MODEL, 2016-2024 (USD MILLION)
  • TABLE 88: ITALY: HEALTHCARE FRAUD DETECTION MARKET, BY APPLICATION, 2016-2024 (USD MILLION)
  • TABLE 89: ITALY: HEALTHCARE FRAUD DETECTION MARKET, FOR INSURANCE CLAIMS REVIEW, BY TYPE, 2016-2024 (USD MILLION)
  • TABLE 90: ITALY: HEALTHCARE FRAUD DETECTION MARKET, BY END USER, 2016-2024 (USD MILLION)
  • TABLE 91: SPAIN: HEALTHCARE FRAUD DETECTION MARKET, BY TYPE, 2016-2024 (USD MILLION)
  • TABLE 92: SPAIN: HEALTHCARE FRAUD DETECTION MARKET, BY COMPONENT, 2016-2024 (USD MILLION)
  • TABLE 93: SPAIN: HEALTHCARE FRAUD DETECTION MARKET, BY DELIVERY MODEL, 2016-2024 (USD MILLION)
  • TABLE 94: SPAIN: HEALTHCARE FRAUD DETECTION MARKET, BY APPLICATION, 2016-2024 (USD MILLION)
  • TABLE 95: SPAIN: HEALTHCARE FRAUD DETECTION MARKET, FOR INSURANCE CLAIMS REVIEW, BY TYPE, 2016-2024 (USD MILLION)
  • TABLE 96: SPAIN: HEALTHCARE FRAUD DETECTION MARKET, BY END USER, 2016-2024 (USD MILLION)
  • TABLE 97: REST OF WESTERN EUROPE: HEALTHCARE FRAUD DETECTION MARKET, BY TYPE, 2016-2024 (USD MILLION)
  • TABLE 98: REST OF WESTERN EUROPE: HEALTHCARE FRAUD DETECTION MARKET, BY COMPONENT, 2016-2024 (USD MILLION)
  • TABLE 99: REST OF WESTERN EUROPE: HEALTHCARE FRAUD DETECTION MARKET, BY DELIVERY MODEL, 2016-2024 (USD MILLION)
  • TABLE 100: REST OF WESTERN EUROPE: HEALTHCARE FRAUD DETECTION MARKET, BY APPLICATION, 2016-2024 (USD MILLION)
  • TABLE 101: REST OF WESTERN EUROPE: HEALTHCARE FRAUD DETECTION MARKET, FOR INSURANCE CLAIMS REVIEW, BY TYPE, 2016-2024 (USD MILLION)
  • TABLE 102: REST OF WESTERN EUROPE: HEALTHCARE FRAUD DETECTION MARKET, BY END USER, 2016-2024 (USD MILLION)
  • TABLE 103: EASTERN EUROPE: HEALTHCARE FRAUD DETECTION MARKET, BY TYPE, 2016-2024 (USD MILLION)
  • TABLE 104: EASTERN EUROPE: HEALTHCARE FRAUD DETECTION MARKET, BY COMPONENT, 2016-2024 (USD MILLION)
  • TABLE 105: EASTERN EUROPE: HEALTHCARE FRAUD DETECTION MARKET, BY DELIVERY MODEL, 2016-2024 (USD MILLION)
  • TABLE 106: EASTERN EUROPE: HEALTHCARE FRAUD DETECTION MARKET, BY APPLICATION, 2016-2024 (USD MILLION)
  • TABLE 107: EASTERN EUROPE: HEALTHCARE FRAUD DETECTION MARKET, FOR INSURANCE CLAIMS REVIEW, BY TYPE, 2016-2024 (USD MILLION)
  • TABLE 108: EASTERN EUROPE: HEALTHCARE FRAUD DETECTION MARKET, BY END USER, 2016-2024 (USD MILLION)
  • TABLE 109: ASIA-PACIFIC: HEALTHCARE FRAUD DETECTION MARKET, BY COUNTRY, 2016-2024 (USD MILLION)
  • TABLE 110: ASIA-PACIFIC: HEALTHCARE FRAUD DETECTION MARKET, BY TYPE, 2016-2024 (USD MILLION)
  • TABLE 111: ASIA-PACIFIC: HEALTHCARE FRAUD DETECTION MARKET, BY COMPONENT, 2016-2024 (USD MILLION)
  • TABLE 112: ASIA-PACIFIC: HEALTHCARE FRAUD DETECTION MARKET, BY DELIVERY MODEL, 2016-2024 (USD MILLION)
  • TABLE 113: ASIA-PACIFIC: HEALTHCARE FRAUD DETECTION MARKET, BY APPLICATION, 2016-2024 (USD MILLION)
  • TABLE 114: ASIA-PACIFIC: HEALTHCARE FRAUD DETECTION MARKET, FOR INSURANCE CLAIMS REVIEW, BY TYPE, 2016-2024 (USD MILLION)
  • TABLE 115: ASIA-PACIFIC: HEALTHCARE FRAUD DETECTION MARKET, BY END USER, 2016-2024 (USD MILLION)
  • TABLE 116: JAPAN: HEALTHCARE FRAUD DETECTION MARKET, BY TYPE, 2016-2024 (USD MILLION)
  • TABLE 117: JAPAN: HEALTHCARE FRAUD DETECTION MARKET, BY COMPONENT, 2016-2024 (USD MILLION)
  • TABLE 118: JAPAN: HEALTHCARE FRAUD DETECTION MARKET, BY DELIVERY MODEL, 2016-2024 (USD MILLION)
  • TABLE 119: JAPAN: HEALTHCARE FRAUD DETECTION MARKET, BY APPLICATION, 2016-2024 (USD MILLION)
  • TABLE 120: JAPAN: HEALTHCARE FRAUD DETECTION MARKET, FOR INSURANCE CLAIMS REVIEW, BY TYPE, 2016-2024 (USD MILLION)
  • TABLE 121: JAPAN: HEALTHCARE FRAUD DETECTION MARKET, BY END USER, 2016-2024 (USD MILLION)
  • TABLE 122: CHINA: HEALTHCARE FRAUD DETECTION MARKET, BY TYPE, 2016-2024 (USD MILLION)
  • TABLE 123: CHINA: HEALTHCARE FRAUD DETECTION MARKET, BY COMPONENT, 2016-2024 (USD MILLION)
  • TABLE 124: CHINA: HEALTHCARE FRAUD DETECTION MARKET, BY DELIVERY MODEL, 2016-2024 (USD MILLION)
  • TABLE 125: CHINA: HEALTHCARE FRAUD DETECTION MARKET, BY APPLICATION, 2016-2024 (USD MILLION)
  • TABLE 126: CHINA: HEALTHCARE FRAUD DETECTION MARKET, FOR INSURANCE CLAIMS REVIEW, BY TYPE, 2016-2024 (USD MILLION)
  • TABLE 127: CHINA: HEALTHCARE FRAUD DETECTION MARKET, BY END USER, 2016-2024 (USD MILLION)
  • TABLE 128: INDIA: HEALTHCARE FRAUD DETECTION MARKET, BY TYPE, 2016-2024 (USD MILLION)
  • TABLE 129: INDIA: HEALTHCARE FRAUD DETECTION MARKET, BY COMPONENT, 2016-2024 (USD MILLION)
  • TABLE 130: INDIA: HEALTHCARE FRAUD DETECTION MARKET, BY DELIVERY MODEL, 2016-2024 (USD MILLION)
  • TABLE 131: INDIA: HEALTHCARE FRAUD DETECTION MARKET, BY APPLICATION, 2016-2024 (USD MILLION)
  • TABLE 132: INDIA: HEALTHCARE FRAUD DETECTION MARKET, FOR INSURANCE CLAIMS REVIEW, BY TYPE, 2016-2024 (USD MILLION)
  • TABLE 133: INDIA: HEALTHCARE FRAUD DETECTION MARKET, BY END USER, 2016-2024 (USD MILLION)
  • TABLE 134: AUSTRALIA: HEALTHCARE FRAUD DETECTION MARKET, BY TYPE, 2016-2024 (USD MILLION)
  • TABLE 135: AUSTRALIA: HEALTHCARE FRAUD DETECTION MARKET, BY COMPONENT, 2016-2024 (USD MILLION)
  • TABLE 136: AUSTRALIA: HEALTHCARE FRAUD DETECTION MARKET, BY DELIVERY MODEL, 2016-2024 (USD MILLION)
  • TABLE 137: AUSTRALIA: HEALTHCARE FRAUD DETECTION MARKET, BY APPLICATION, 2016-2024 (USD MILLION)
  • TABLE 138: AUSTRALIA: HEALTHCARE FRAUD DETECTION MARKET, FOR INSURANCE CLAIMS REVIEW, BY TYPE, 2016-2024 (USD MILLION)
  • TABLE 139: AUSTRALIA: HEALTHCARE FRAUD DETECTION MARKET, BY END USER, 2016-2024 (USD MILLION)
  • TABLE 140: SOUTH KOREA: HEALTHCARE FRAUD DETECTION MARKET, BY TYPE, 2016-2024 (USD MILLION)
  • TABLE 141: SOUTH KOREA: HEALTHCARE FRAUD DETECTION MARKET, BY COMPONENT, 2016-2024 (USD MILLION)
  • TABLE 142: SOUTH KOREA: HEALTHCARE FRAUD DETECTION MARKET, BY DELIVERY MODEL, 2016-2024 (USD MILLION)
  • TABLE 143: SOUTH KOREA: HEALTHCARE FRAUD DETECTION MARKET, BY APPLICATION, 2016-2024 (USD MILLION)
  • TABLE 144: SOUTH KOREA: HEALTHCARE FRAUD DETECTION MARKET, FOR INSURANCE CLAIMS REVIEW, BY TYPE, 2016-2024 (USD MILLION)
  • TABLE 145: SOUTH KOREA: HEALTHCARE FRAUD DETECTION MARKET, BY END USER, 2016-2024 (USD MILLION)
  • TABLE 146: REST OF ASIA PACIFIC: HEALTHCARE FRAUD DETECTION MARKET, BY TYPE, 2016-2024 (USD MILLION)
  • TABLE 147: REST OF ASIA PACIFIC: HEALTHCARE FRAUD DETECTION MARKET, BY COMPONENT, 2016-2024 (USD MILLION)
  • TABLE 148: REST OF ASIA PACIFIC: HEALTHCARE FRAUD DETECTION MARKET, BY DELIVERY MODEL, 2016-2024 (USD MILLION)
  • TABLE 149: REST OF ASIA PACIFIC: HEALTHCARE FRAUD DETECTION MARKET, BY APPLICATION, 2016-2024 (USD MILLION)
  • TABLE 150: REST OF ASIA PACIFIC: HEALTHCARE FRAUD DETECTION MARKET, FOR INSURANCE CLAIMS REVIEW, BY TYPE, 2016-2024 (USD MILLION)
  • TABLE 151: REST OF ASIA PACIFIC: HEALTHCARE FRAUD DETECTION MARKET, BY END USER, 2016-2024 (USD MILLION)
  • TABLE 152: MIDDLE EAST & AFRICA: HEALTHCARE FRAUD DETECTION MARKET, BY REGION, 2016-2024 (USD MILLION)
  • TABLE 153: MIDDLE EAST & AFRICA: HEALTHCARE FRAUD DETECTION MARKET, BY TYPE, 2016-2024 (USD MILLION)
  • TABLE 154: MIDDLE EAST & AFRICA: HEALTHCARE FRAUD DETECTION MARKET, BY COMPONENT, 2016-2024 (USD MILLION)
  • TABLE 155: MIDDLE EAST & AFRICA: HEALTHCARE FRAUD DETECTION MARKET, BY DELIVERY MODEL, 2016-2024 (USD MILLION)
  • TABLE 156: MIDDLE EAST & AFRICA: HEALTHCARE FRAUD DETECTION MARKET, BY APPLICATION, 2016-2024 (USD MILLION)
  • TABLE 157: MIDDLE EAST & AFRICA: HEALTHCARE FRAUD DETECTION MARKET, FOR INSURANCE CLAIMS REVIEW, BY TYPE, 2016-2024 (USD MILLION)
  • TABLE 158: MIDDLE EAST & AFRICA: HEALTHCARE FRAUD DETECTION MARKET, BY END USER, 2016-2024 (USD MILLION)
  • TABLE 159: MIDDLE EAST: HEALTHCARE FRAUD DETECTION MARKET, BY TYPE, 2016-2024 (USD MILLION)
  • TABLE 160: MIDDLE EAST: HEALTHCARE FRAUD DETECTION MARKET, BY COMPONENT, 2016-2024 (USD MILLION)
  • TABLE 161: MIDDLE EAST: HEALTHCARE FRAUD DETECTION MARKET, BY DELIVERY MODEL, 2016-2024 (USD MILLION)
  • TABLE 162: MIDDLE EAST: HEALTHCARE FRAUD DETECTION MARKET, BY APPLICATION, 2016-2024 (USD MILLION)
  • TABLE 163: MIDDLE EAST: HEALTHCARE FRAUD DETECTION MARKET, FOR INSURANCE CLAIMS REVIEW, BY TYPE, 2016-2024 (USD MILLION)
  • TABLE 164: MIDDLE EAST: HEALTHCARE FRAUD DETECTION MARKET, BY END USER, 2016-2024 (USD MILLION)
  • TABLE 165: AFRICA: HEALTHCARE FRAUD DETECTION MARKET, BY TYPE, 2016-2024 (USD MILLION)
  • TABLE 166: AFRICA: HEALTHCARE FRAUD DETECTION MARKET, BY COMPONENT, 2016-2024 (USD MILLION)
  • TABLE 167: AFRICA: HEALTHCARE FRAUD DETECTION MARKET, BY DELIVERY MODEL, 2016-2024 (USD MILLION)
  • TABLE 168: AFRICA: HEALTHCARE FRAUD DETECTION MARKET, BY APPLICATION, 2016-2024 (USD MILLION)
  • TABLE 169: AFRICA: HEALTHCARE FRAUD DETECTION MARKET, FOR INSURANCE CLAIMS REVIEW, BY TYPE, 2016-2024 (USD MILLION)
  • TABLE 170: AFRICA: HEALTHCARE FRAUD DETECTION MARKET, BY END USER, 2016-2024 (USD MILLION)
  • TABLE 171: MAJOR MANUFACTURERS IN THE GLOBAL HEALTHCARE FRAUD DETECTION MARKET
  • TABLE 172: IBM PRODUCTS/SERVICES OFFERED
  • TABLE 173: IBM: KEY DEVELOPMENTS
  • TABLE 174: UHG: PRODUCTS OFFERED
  • TABLE 175: OPTUM: KEY DEVELOPMENTS
  • TABLE 176: SAS: PRODUCTS/SERVICES OFFERED
  • TABLE 177: SAS: KEY DEVELOPMENTS
  • TABLE 178: FICO: PRODUCTS/SERVICES OFFERED
  • TABLE 179: FICO: KEY DEVELOPMENTS
  • TABLE 180: MCKESSON: PRODUCTS/SERVICES OFFERED
  • TABLE 181: MCKESSON: KEY DEVELOPMENTS
  • TABLE 182: EXL: PRODUCTS/SERVICES OFFERED
  • TABLE 183: EXL: KEY DEVELOPMENTS
  • TABLE 184: DXC COMPANY: PRODUCTS/SERVICES OFFERED
  • TABLE 185: DXC :KEY DEVELOPMENTS
  • TABLE 186: LEXISNEXIS: PRODUCTS/SERVICES OFFERED
  • TABLE 187: LEXISNEXIS: KEY DEVELOPMENTS
  • TABLE 188: COTIVITI, INC.: PRODUCTS/SERVICES OFFERED
  • TABLE 189: COTIVITI, INC.: KEY DEVELOPMENTS
  • TABLE 190: WIPRO LIMITED: PRODUCTS/SERVICES OFFERED
  • TABLE 191: WIPRO LIMITED: KEY DEVELOPMENTS
  • TABLE 192: CGI INC.: PRODUCTS/SERVICES OFFERED
  • TABLE 193: CGI INC.: KEY DEVELOPMENTS

LIST OF FIGURES

  • FIGURE 1: MARKET SYNOPSIS
  • FIGURE 2: GLOBAL HEALTHCARE FRAUD DETECTION MARKET ANALYSIS, BY TYPE
  • FIGURE 3: GLOBAL HEALTHCARE FRAUD DETECTION MARKET ANALYSIS, BY COMPONENT
  • FIGURE 4: GLOBAL HEALTHCARE FRAUD DETECTION MARKET ANALYSIS, BY DELIVERY MODEL
  • FIGURE 5: GLOBAL HEALTHCARE FRAUD DETECTION MARKET ANALYSIS, BY APPLICATION
  • FIGURE 6: GLOBAL HEALTHCARE FRAUD DETECTION MARKET ANALYSIS, BY END USER
  • FIGURE 7: GLOBAL HEALTHCARE FRAUD DETECTION MARKET: STRUCTURE
  • FIGURE 8: RESEARCH PROCESS
  • FIGURE 9: TOP-DOWN & BOTTOM-UP APPROACHES
  • FIGURE 10: MARKET DYNAMICS: ANALYSIS OF THE GLOBAL HEALTHCARE FRAUD DETECTION MARKET
  • FIGURE 11: VALUE CHAIN: GLOBAL HEALTHCARE FRAUD DETECTION MARKET
  • FIGURE 12: PORTER'S FIVE FORCES ANALYSIS: GLOBAL HEALTHCARE FRAUD DETECTION MARKET
  • FIGURE 13: GLOBAL HEALTHCARE FRAUD DETECTION MARKET, BY TYPE, 2018 (% SHARE)
  • FIGURE 14: GLOBAL HEALTHCARE FRAUD DETECTION MARKET, BY TYPE, 2018 AND 2024 (USD MILLION)
  • FIGURE 15: GLOBAL HEALTHCARE FRAUD DETECTION MARKET, BY COMPONENT, 2018 (% SHARE)
  • FIGURE 16: GLOBAL HEALTHCARE FRAUD DETECTION MARKET, BY COMPONENT, 2018 AND 2024 (USD MILLION)
  • FIGURE 17: GLOBAL HEALTHCARE FRAUD DETECTION MARKET, BY DELIVERY MODEL, 2018 (% SHARE)
  • FIGURE 18: GLOBAL HEALTHCARE FRAUD DETECTION MARKET, BY DELIVERY MODEL, 2018 AND 2024 (USD MILLION)
  • FIGURE 19: GLOBAL HEALTHCARE FRAUD DETECTION MARKET, BY APPLICATION, 2018 (% SHARE)
  • FIGURE 20: GLOBAL HEALTHCARE FRAUD DETECTION MARKET, BY APPLICATION, 2018 AND 2024 (USD MILLION)
  • FIGURE 21: GLOBAL HEALTHCARE FRAUD DETECTION MARKET, BY END USER, 2018 (% SHARE)
  • FIGURE 22: GLOBAL HEALTHCARE FRAUD DETECTION MARKET, BY END USER, 2018 AND 2024 (USD MILLION)
  • FIGURE 23: GLOBAL HEALTHCARE FRAUD DETECTION MARKET, BY REGION, 2018 AND 2024 (USD MILLION)
  • FIGURE 24: GLOBAL HEALTHCARE FRAUD DETECTION MARKET, BY REGION, 2018 (% SHARE)
  • FIGURE 25: AMERICAS: HEALTHCARE FRAUD DETECTION MARKET SHARE, BY REGION, 2018 (% SHARE)
  • FIGURE 26: EUROPE: HEALTHCARE FRAUD DETECTION MARKET SHARE, BY REGION, 2018 (% SHARE)
  • FIGURE 27: ASIA-PACIFIC: HEALTHCARE FRAUD DETECTION MARKET SHARE, BY COUNTRY, 2018 (% SHARE)
  • FIGURE 28: MIDDLE EAST & AFRICA: HEALTHCARE FRAUD DETECTION MARKET SHARE, BY REGION, 2018 (% SHARE)
  • FIGURE 29: IBM FINANCIAL OVERVIEW SNAPSHOT
  • FIGURE 30: IBM: SWOT ANALYSIS
  • FIGURE 31: UHG: FINANCIAL OVERVIEW SNAPSHOT
  • FIGURE 32: UHG: SWOT ANALYSIS
  • FIGURE 33: SAS: FINANCIAL OVERVIEW SNAPSHOT
  • FIGURE 34: SAS: SWOT ANALYSIS
  • FIGURE 35: FICO: FINANCIAL OVERVIEW SNAPSHOT
  • FIGURE 36: FICO: SWOT ANALYSIS
  • FIGURE 37: MCKESSON: FINANCIAL OVERVIEW SNAPSHOT
  • FIGURE 38: MCKESSON: SWOT ANALYSIS
  • FIGURE 39: EXL: FINANCIAL OVERVIEW SNAPSHOT
  • FIGURE 40: EXL: SWOT ANALYSIS
  • FIGURE 41: DXC: FINANCIAL OVERVIEW SNAPSHOT
  • FIGURE 42: DXC: SWOT ANALYSIS
  • FIGURE 43: RELX: FINANCIAL OVERVIEW SNAPSHOT
  • FIGURE 44: LEXISNEXIS COMPANY: SWOT ANALYSIS
  • FIGURE 45: COTIVITI, INC.: SWOT ANALYSIS
  • FIGURE 46: WIPRO LIMITED: FINANCIAL OVERVIEW SNAPSHOT
  • FIGURE 47: WIPRO LIMITED: SWOT ANALYSIS
  • FIGURE 48: CGI INC.: FINANCIAL OVERVIEW SNAPSHOT
  • FIGURE 49: CGI INC.: SWOT ANALYSIS
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