封面
市場調查報告書
商品編碼
1139947

醫療保健欺詐檢測市場:按類型、按組件、按應用程序、按最終用戶:2021-2031 年全球機會分析和行業預測

Healthcare Fraud Detection Market By Type, By Component, By Application, By End User : Global Opportunity Analysis and Industry Forecast, 2021-2031

出版日期: | 出版商: Allied Market Research | 英文 310 Pages | 商品交期: 2-3個工作天內

價格

全球醫療保健欺詐檢測市場預計將在 2021 年達到 10.982 億美元,2022-2031 年的複合年增長率為 12.6%,到 □□2031 年達到 36 億美元。

欺詐檢測的目的是防止人們通過欺詐手段獲取金錢等。欺詐檢測技術用於醫藥和醫療保健等各個行業。徹底的賬戶審計可能會發現可疑的承包商和供應商。理想情況下,應仔細審核每項索賠。但是,沒有實際的方法來審計所有索賠。欺詐檢測管理包括查看數以百萬計的交易以及分類、組織和分割數據以發現模式和識別欺詐的技術、數據挖掘以及估計自變量和因變量之間的聯繫的技術。數據匹配是一種用於比較兩個數據集合、消除重複和建立數據之間關係的技術。

醫療欺詐檢測行業實際上可以防止醫療欺詐、浪費和濫用。醫療保健欺詐是指患者或醫療保健提供者故意歪曲事實以進行非法付款或福利。醫療欺詐的例子包括不同提供者對同一患者的多次索賠、醫生偽造數據、提交未提供的服務的索賠、日期、時間、持續時間、各種治療的服務、內容的虛假描述等。各種欺詐行為在醫療保健行業呈上升趨勢。此外,欺詐案件的增加、醫療產品和設備的欺詐使用以及醫療資金的欺詐使用預計將推動市場增長。

推動醫療保健市場醫療費用欺詐檢測市場增長的主要因素是越來越多的患者尋求健康保險。其他因素,例如欺詐案件的增加和醫療保健提供的資金的濫用,正在推動醫療保健欺詐檢測市場的增長。手動發現健康保險欺詐需要少數審計人員手動評估和查明可疑的健康保險索賠。

但是,最近機器學習和數據挖掘技術的突破導致開發了更有效和自動化的醫療費用欺詐檢測方法。近年來,通過挖掘醫療數據進行欺詐檢測的興趣增加,推動了全球醫療欺詐檢測市場。機器學習和人工智能的突破性進步加劇了醫療保健行業的數據安全問題,並成為全球醫療保健欺詐檢測市場的製約因素。

醫療保健欺詐檢測市場根據類型、組件、應用程序、最終用戶和地區進行細分。按類型劃分,市場分為描述性分析、預測性分析和規範性分析。按組件,市場分為服務和軟件。按應用分為理賠審核和支付誠信。

內容

第一章介紹

第 2 章執行摘要

第 3 章市場概覽

  • 市場定義和範圍
  • 主要發現
    • 主要投資領域
  • 波特五力分析
  • 主要公司的定位
  • 市場動態
    • 驅動程序
    • 約束因素
    • 機會
  • COVID-19 影響分析

第 4 章醫療保健欺詐檢測市場:按類型分類

  • 概覽
    • 市場規模和預測
  • 描述性分析
    • 主要市場趨勢、增長動力和機遇
    • 市場規模和預測:按地區
    • 市場分析:國家/地區分析
  • 預測性分析
    • 主要市場趨勢、增長因素和機遇
    • 市場規模和預測:按地區
    • 市場分析:按國家/地區分類
  • 規範性分析
    • 主要市場趨勢、增長動力和機遇
    • 市場規模和預測:按地區
    • 市場分析:國家/地區分析

第 5 章醫療保健欺詐檢測市場:按組件

  • 概覽
    • 市場規模和預測
  • 服務
    • 主要市場趨勢、增長因素和機遇
    • 市場規模和預測:按地區
    • 市場分析:按國家/地區分類
  • 軟件
    • 主要市場趨勢、增長因素和機遇
    • 市場規模和預測:按地區
    • 市場分析:按國家/地區分類

第 6 章醫療欺詐檢測市場:按應用分類

  • 概覽
    • 市場規模和預測
  • 保險理賠審核
    • 主要市場趨勢、增長動力和機遇
    • 市場規模/預測:按地區
    • 市場分析:按國家/地區分類
  • 付款完整性
    • 主要市場趨勢、增長因素和機遇
    • 市場規模和預測:按地區
    • 市場分析:按國家/地區分類

第 7 章。醫療保健欺詐檢測市場:按最終用戶分類

  • 概覽
    • 市場規模和預測
  • 醫療保健付款人
    • 主要市場趨勢、增長因素和機遇
    • 市場規模和預測:按地區
    • 市場分析:國家/地區分析
    • 按類型劃分的醫療保健支付者的醫療費用欺詐檢測市場
      • 公共付款人市場規模和預測:按地區劃分
      • 私營企業市場規模和預測:按地區劃分
  • 政府機構
    • 主要市場趨勢、增長因素和機遇
    • 市場規模和預測:按地區
    • 市場分析:按國家/地區分類
  • 其他
    • 主要市場趨勢、增長因素和機遇
    • 市場規模和預測:按地區
    • 市場分析:按國家/地區分類

第 8 章醫療保健欺詐檢測市場:按地區劃分

  • 概覽
    • 市場規模和預測
  • 北美
    • 主要趨勢和機遇
    • 北美市場規模和預測:按類型
    • 北美市場規模和預測:按組件
    • 北美市場規模和預測:按應用
    • 北美市場規模和預測:按最終用戶分類
      • 北美醫療保健付款人醫療保健欺詐檢測市場:按類型
    • 北美市場規模和預測:按國家/地區分類
      • 美國
      • 加拿大
      • 墨西哥
  • 歐洲
    • 主要趨勢和機遇
    • 歐洲市場規模和預測:按類型
    • 歐洲市場規模和預測:按組件
    • 歐洲市場規模和預測:按應用
    • 歐洲市場規模和預測:按最終用戶分類
      • 歐洲醫療保健付款人醫療保健欺詐檢測市場:按類型
    • 歐洲市場規模和預測:按國家/地區分類
      • 德國
      • 法國
      • 英國
      • 意大利
      • 西班牙
      • 其他歐洲
  • 亞太地區
    • 主要趨勢和機遇
    • 亞太市場規模和預測:按類型
    • 亞太市場規模和預測:按組件
    • 亞太市場規模和預測:按應用
    • 亞太市場規模和預測:按最終用戶分類
      • 按類型分列的亞太地區醫療保健付款人醫療保健欺詐檢測市場
    • 亞太地區的市場規模和預測:按國家/地區分類
      • 日本
      • 中國
      • 澳大利亞
      • 印度
      • 韓國
      • 其他亞太地區
  • LAMEA
    • 主要趨勢和機遇
    • LAMEA 市場規模和預測:按類型
    • LAMEA 市場規模和預測:按組件
    • LAMEA 市場規模和預測:按應用
    • LAMEA 市場規模和預測:按最終用戶分類
      • LAMEA 醫療保健付款人醫療保健欺詐檢測市場:按類型
    • LAMEA 市場規模和預測:按國家/地區分類
      • 巴西
      • 沙特阿拉伯
      • 南非
      • LAMEA 的其餘部分

第 9 章商業條件

  • 簡介
  • 關鍵成功策略
  • 10 家主要公司的產品映射
  • 競賽儀表板
  • 比賽熱圖
  • 主要發展

第 10 章公司簡介

  • International Business Machines Corporation(IBM)
  • Optum Inc.
  • Verscend Technologies
  • McKesson Corporation
  • FAIR ISAAC Corporation
  • SAS Institute Inc.
  • HCL Technologies
  • WIPRO LIMITED
  • Conduent
  • CGI Group
  • DXC Technology Company
  • UnitedHealth Group, Inc.
  • Exlservice Holdings Inc.
  • Cotiviti Inc.
  • LexisNexis
  • OSP Labs
  • Northrop Grumman
  • Northrop Grumman Corp
Product Code: A05264

The global healthcare fraud detection Market was valued at $1,098.2 million in 2021, and is projected to reach $3,600.0 million by 2031, registering a CAGR of 12.6% from 2022 to 2031.

The goal of fraud detection is to stop someone from obtaining money or other items through deceptive means. Various industries, including medical and healthcare, use fraud detection techniques. healthcare fraud detection involves account audits and detective work. A thorough account audit might discover suspect policy holders and suppliers. It is ideal to carefully audit each and every claim one at a time. However, there are no realistic way to audit all claims. Fraud detection management is done by the techniques such as to look through millions of transactions, classify, organize, and segment data in order to locate patterns and identify fraud, data mining, estimation of the connections between independent and dependent variables. Data matching is a technique used to compare two collections of data, remove out duplicates, and establish connections between data.

Healthcare fraud, waste, and abuse are actually prevented by the healthcare fraud detection industry. Healthcare fraud is the deliberate distortion of facts by patients or healthcare personnel that results in unlawful payments or benefits. Examples of healthcare fraud include the filing of numerous claims by different providers for the same patients, the falsification of data by doctors, the submission of claims for services that have not been rendered, and the misrepresentation of dates for various treatments, frequency, duration, or service descriptions. The various activities involving fraud in medical industries has increased. Furthermore, the increased fraud cases, abuse of medical products and equipment and misuse of healthcare funds is projected to drive the market growth.

The major factor that drives the market growth of healthcare fraud detection in healthcare market is increase in number of patients seeking health insurance. The other factors such as increase in fraudulent cases, and misuse of funds offered by healthcare boost the growth of the healthcare fraud detection market. A small number of auditors must manually evaluate and pinpoint the dubious medical insurance claims to manually discover healthcare fraud.

However, more effective and automated methods of detecting healthcare frauds have been developed because to recent breakthroughs in machine learning and data mining techniques. In recent years, there has been an increase in interest in mining healthcare data for fraud detection also boosting the global healthcare fraud detection market. The breakthrough advances in machine learning and artificial intelligence, increased in data security concern in healthcare industry restraining the global healthcare fraud detection market.

The healthcare fraud detection market segmented on the basis of type, component, application, end user and region. By type, the market is segmented into descriptive analytics, predictive analytics and prescriptive analysis. By component the market is fragmented into service and software. By application the market divided into insurance claims review and payment integrity.

By end user, the market is segmented into healthcare payer, government agencies and others. The healthcare payer further segmented into public payer and private payer. The others segment includes employers, healthcare providers and third-party service providers. Region wise, the market is analyzed across North America, Europe, Asia-Pacific, and LAMEA.

  • Major key players that operate in the global healthcare fraud detection market are International Business Machines Corporation (IBM), Optum, Verscend Technologies, McKesson Corporation, FAIR ISAAC Corporation, SAS Institute Inc., HCL Technologies, Wipro Limited, Conduent, CGI Group, DXC Technology Company, UnitedHealth Group, Exlservice Holdings Inc., Scio inspire Corp, LexisNexis, OSP Labs, Northrop Grumman.
  • Key Benefits For Stakeholders
  • This report provides a quantitative analysis of the market segments, current trends, estimations, and dynamics of the healthcare fraud detectionmarket analysis from 2021 to 2031 to identify the prevailing healthcare fraud detection market opportunities.
  • The market research is offered along with information related to key drivers, restraints, and opportunities.
  • Porter's five forces analysis highlights the potency of buyers and suppliers to enable stakeholders make profit-oriented business decisions and strengthen their supplier-buyer network.
  • In-depth analysis of the healthcare fraud detection market segmentation assists to determine the prevailing market opportunities.
  • Major countries in each region are mapped according to their revenue contribution to the global market.
  • Market player positioning facilitates benchmarking and provides a clear understanding of the present position of the market players.
  • The report includes the analysis of the regional as well as global healthcare fraud detection market trends, key players, market segments, application areas, and market growth strategies.
  • Key Market Segments

By Application

  • Insurance Claims Review
  • Payment Integrity

By End User

  • Healthcare Payer
    • Type
    • Public Payers
    • Private players
  • Government Agencies
  • Others

By Type

  • Descriptive Analytics
  • Predictive Analytics
  • Prescriptive Analysis

By Component

  • Services
  • Software

By Region

  • North America
    • U.S.
    • Canada
    • Mexico
  • Europe
    • Germany
    • France
    • UK
    • Italy
    • Spain
    • Rest of Europe
  • Asia-Pacific
    • China
    • Australia
    • India
    • South Korea
    • Rest of Asia-Pacific
    • Japan
  • LAMEA
    • Brazil
    • Saudi Arabia
    • South Africa
    • Rest of LAMEA
  • Key Market Players
    • International Business Machines Corporation (IBM)
    • Optum Inc.
    • Verscend Technologies
    • McKesson Corporation
    • FAIR ISAAC Corporation
    • SAS Institute Inc.
    • HCL Technologies
    • WIPRO LIMITED
    • Conduent
    • CGI Group
    • DXC Technology Company
    • UnitedHealth Group, Inc.
    • Exlservice Holdings Inc.
    • Cotiviti Inc.
    • LexisNexis
    • OSP Labs
    • Northrop Grumman
    • Northrop Grumman Corp

TABLE OF CONTENTS

CHAPTER 1:INTRODUCTION

  • 1.1.Report description
  • 1.2.Key market segments
  • 1.3.Key benefits to the stakeholders
  • 1.4.Research Methodology
    • 1.4.1.Secondary research
    • 1.4.2.Primary research
    • 1.4.3.Analyst tools and models

CHAPTER 2:EXECUTIVE SUMMARY

  • 2.1.Key findings of the study
  • 2.2.CXO Perspective

CHAPTER 3:MARKET OVERVIEW

  • 3.1.Market definition and scope
  • 3.2.Key findings
    • 3.2.1.Top investment pockets
  • 3.3.Porter's five forces analysis
  • 3.4.Top player positioning
  • 3.5.Market dynamics
    • 3.5.1.Drivers
    • 3.5.2.Restraints
    • 3.5.3.Opportunities
  • 3.6.COVID-19 Impact Analysis on the market

CHAPTER 4: HEALTHCARE FRAUD DETECTION MARKET, BY TYPE

  • 4.1 Overview
    • 4.1.1 Market size and forecast
  • 4.2 Descriptive Analytics
    • 4.2.1 Key market trends, growth factors and opportunities
    • 4.2.2 Market size and forecast, by region
    • 4.2.3 Market analysis by country
  • 4.3 Predictive Analytics
    • 4.3.1 Key market trends, growth factors and opportunities
    • 4.3.2 Market size and forecast, by region
    • 4.3.3 Market analysis by country
  • 4.4 Prescriptive Analysis
    • 4.4.1 Key market trends, growth factors and opportunities
    • 4.4.2 Market size and forecast, by region
    • 4.4.3 Market analysis by country

CHAPTER 5: HEALTHCARE FRAUD DETECTION MARKET, BY COMPONENT

  • 5.1 Overview
    • 5.1.1 Market size and forecast
  • 5.2 Services
    • 5.2.1 Key market trends, growth factors and opportunities
    • 5.2.2 Market size and forecast, by region
    • 5.2.3 Market analysis by country
  • 5.3 Software
    • 5.3.1 Key market trends, growth factors and opportunities
    • 5.3.2 Market size and forecast, by region
    • 5.3.3 Market analysis by country

CHAPTER 6: HEALTHCARE FRAUD DETECTION MARKET, BY APPLICATION

  • 6.1 Overview
    • 6.1.1 Market size and forecast
  • 6.2 Insurance Claims Review
    • 6.2.1 Key market trends, growth factors and opportunities
    • 6.2.2 Market size and forecast, by region
    • 6.2.3 Market analysis by country
  • 6.3 Payment Integrity
    • 6.3.1 Key market trends, growth factors and opportunities
    • 6.3.2 Market size and forecast, by region
    • 6.3.3 Market analysis by country

CHAPTER 7: HEALTHCARE FRAUD DETECTION MARKET, BY END USER

  • 7.1 Overview
    • 7.1.1 Market size and forecast
  • 7.2 Healthcare Payer
    • 7.2.1 Key market trends, growth factors and opportunities
    • 7.2.2 Market size and forecast, by region
    • 7.2.3 Market analysis by country
    • 7.2.4 Healthcare Payer Healthcare Fraud Detection Market by Type
      • 7.2.4.1 Public Payers Market size and forecast, by region
      • 7.2.4.2 Private players Market size and forecast, by region
  • 7.3 Government Agencies
    • 7.3.1 Key market trends, growth factors and opportunities
    • 7.3.2 Market size and forecast, by region
    • 7.3.3 Market analysis by country
  • 7.4 Others
    • 7.4.1 Key market trends, growth factors and opportunities
    • 7.4.2 Market size and forecast, by region
    • 7.4.3 Market analysis by country

CHAPTER 8: HEALTHCARE FRAUD DETECTION MARKET, BY REGION

  • 8.1 Overview
    • 8.1.1 Market size and forecast
  • 8.2 North America
    • 8.2.1 Key trends and opportunities
    • 8.2.2 North America Market size and forecast, by Type
    • 8.2.3 North America Market size and forecast, by Component
    • 8.2.4 North America Market size and forecast, by Application
    • 8.2.5 North America Market size and forecast, by End User
      • 8.2.5.1 North America Healthcare Payer Healthcare Fraud Detection Market by Type
    • 8.2.6 North America Market size and forecast, by country
      • 8.2.6.1 U.S.
      • 8.2.6.1.1 Market size and forecast, by Type
      • 8.2.6.1.2 Market size and forecast, by Component
      • 8.2.6.1.3 Market size and forecast, by Application
      • 8.2.6.1.4 Market size and forecast, by End User
      • 8.2.6.2 Canada
      • 8.2.6.2.1 Market size and forecast, by Type
      • 8.2.6.2.2 Market size and forecast, by Component
      • 8.2.6.2.3 Market size and forecast, by Application
      • 8.2.6.2.4 Market size and forecast, by End User
      • 8.2.6.3 Mexico
      • 8.2.6.3.1 Market size and forecast, by Type
      • 8.2.6.3.2 Market size and forecast, by Component
      • 8.2.6.3.3 Market size and forecast, by Application
      • 8.2.6.3.4 Market size and forecast, by End User
  • 8.3 Europe
    • 8.3.1 Key trends and opportunities
    • 8.3.2 Europe Market size and forecast, by Type
    • 8.3.3 Europe Market size and forecast, by Component
    • 8.3.4 Europe Market size and forecast, by Application
    • 8.3.5 Europe Market size and forecast, by End User
      • 8.3.5.1 Europe Healthcare Payer Healthcare Fraud Detection Market by Type
    • 8.3.6 Europe Market size and forecast, by country
      • 8.3.6.1 Germany
      • 8.3.6.1.1 Market size and forecast, by Type
      • 8.3.6.1.2 Market size and forecast, by Component
      • 8.3.6.1.3 Market size and forecast, by Application
      • 8.3.6.1.4 Market size and forecast, by End User
      • 8.3.6.2 France
      • 8.3.6.2.1 Market size and forecast, by Type
      • 8.3.6.2.2 Market size and forecast, by Component
      • 8.3.6.2.3 Market size and forecast, by Application
      • 8.3.6.2.4 Market size and forecast, by End User
      • 8.3.6.3 UK
      • 8.3.6.3.1 Market size and forecast, by Type
      • 8.3.6.3.2 Market size and forecast, by Component
      • 8.3.6.3.3 Market size and forecast, by Application
      • 8.3.6.3.4 Market size and forecast, by End User
      • 8.3.6.4 Italy
      • 8.3.6.4.1 Market size and forecast, by Type
      • 8.3.6.4.2 Market size and forecast, by Component
      • 8.3.6.4.3 Market size and forecast, by Application
      • 8.3.6.4.4 Market size and forecast, by End User
      • 8.3.6.5 Spain
      • 8.3.6.5.1 Market size and forecast, by Type
      • 8.3.6.5.2 Market size and forecast, by Component
      • 8.3.6.5.3 Market size and forecast, by Application
      • 8.3.6.5.4 Market size and forecast, by End User
      • 8.3.6.6 Rest of Europe
      • 8.3.6.6.1 Market size and forecast, by Type
      • 8.3.6.6.2 Market size and forecast, by Component
      • 8.3.6.6.3 Market size and forecast, by Application
      • 8.3.6.6.4 Market size and forecast, by End User
  • 8.4 Asia-Pacific
    • 8.4.1 Key trends and opportunities
    • 8.4.2 Asia-Pacific Market size and forecast, by Type
    • 8.4.3 Asia-Pacific Market size and forecast, by Component
    • 8.4.4 Asia-Pacific Market size and forecast, by Application
    • 8.4.5 Asia-Pacific Market size and forecast, by End User
      • 8.4.5.1 Asia-Pacific Healthcare Payer Healthcare Fraud Detection Market by Type
    • 8.4.6 Asia-Pacific Market size and forecast, by country
      • 8.4.6.1 Japan
      • 8.4.6.1.1 Market size and forecast, by Type
      • 8.4.6.1.2 Market size and forecast, by Component
      • 8.4.6.1.3 Market size and forecast, by Application
      • 8.4.6.1.4 Market size and forecast, by End User
      • 8.4.6.2 China
      • 8.4.6.2.1 Market size and forecast, by Type
      • 8.4.6.2.2 Market size and forecast, by Component
      • 8.4.6.2.3 Market size and forecast, by Application
      • 8.4.6.2.4 Market size and forecast, by End User
      • 8.4.6.3 Australia
      • 8.4.6.3.1 Market size and forecast, by Type
      • 8.4.6.3.2 Market size and forecast, by Component
      • 8.4.6.3.3 Market size and forecast, by Application
      • 8.4.6.3.4 Market size and forecast, by End User
      • 8.4.6.4 India
      • 8.4.6.4.1 Market size and forecast, by Type
      • 8.4.6.4.2 Market size and forecast, by Component
      • 8.4.6.4.3 Market size and forecast, by Application
      • 8.4.6.4.4 Market size and forecast, by End User
      • 8.4.6.5 South Korea
      • 8.4.6.5.1 Market size and forecast, by Type
      • 8.4.6.5.2 Market size and forecast, by Component
      • 8.4.6.5.3 Market size and forecast, by Application
      • 8.4.6.5.4 Market size and forecast, by End User
      • 8.4.6.6 Rest of Asia-Pacific
      • 8.4.6.6.1 Market size and forecast, by Type
      • 8.4.6.6.2 Market size and forecast, by Component
      • 8.4.6.6.3 Market size and forecast, by Application
      • 8.4.6.6.4 Market size and forecast, by End User
  • 8.5 LAMEA
    • 8.5.1 Key trends and opportunities
    • 8.5.2 LAMEA Market size and forecast, by Type
    • 8.5.3 LAMEA Market size and forecast, by Component
    • 8.5.4 LAMEA Market size and forecast, by Application
    • 8.5.5 LAMEA Market size and forecast, by End User
      • 8.5.5.1 LAMEA Healthcare Payer Healthcare Fraud Detection Market by Type
    • 8.5.6 LAMEA Market size and forecast, by country
      • 8.5.6.1 Brazil
      • 8.5.6.1.1 Market size and forecast, by Type
      • 8.5.6.1.2 Market size and forecast, by Component
      • 8.5.6.1.3 Market size and forecast, by Application
      • 8.5.6.1.4 Market size and forecast, by End User
      • 8.5.6.2 Saudi Arabia
      • 8.5.6.2.1 Market size and forecast, by Type
      • 8.5.6.2.2 Market size and forecast, by Component
      • 8.5.6.2.3 Market size and forecast, by Application
      • 8.5.6.2.4 Market size and forecast, by End User
      • 8.5.6.3 South Africa
      • 8.5.6.3.1 Market size and forecast, by Type
      • 8.5.6.3.2 Market size and forecast, by Component
      • 8.5.6.3.3 Market size and forecast, by Application
      • 8.5.6.3.4 Market size and forecast, by End User
      • 8.5.6.4 Rest of LAMEA
      • 8.5.6.4.1 Market size and forecast, by Type
      • 8.5.6.4.2 Market size and forecast, by Component
      • 8.5.6.4.3 Market size and forecast, by Application
      • 8.5.6.4.4 Market size and forecast, by End User

CHAPTER 9: COMPANY LANDSCAPE

  • 9.1. Introduction
  • 9.2. Top winning strategies
  • 9.3. Product Mapping of Top 10 Player
  • 9.4. Competitive Dashboard
  • 9.5. Competitive Heatmap
  • 9.6. Key developments

CHAPTER 10: COMPANY PROFILES

  • 10.1 International Business Machines Corporation (IBM)
    • 10.1.1 Company overview
    • 10.1.2 Company snapshot
    • 10.1.3 Operating business segments
    • 10.1.4 Product portfolio
    • 10.1.5 Business performance
    • 10.1.6 Key strategic moves and developments
  • 10.2 Optum Inc.
    • 10.2.1 Company overview
    • 10.2.2 Company snapshot
    • 10.2.3 Operating business segments
    • 10.2.4 Product portfolio
    • 10.2.5 Business performance
    • 10.2.6 Key strategic moves and developments
  • 10.3 Verscend Technologies
    • 10.3.1 Company overview
    • 10.3.2 Company snapshot
    • 10.3.3 Operating business segments
    • 10.3.4 Product portfolio
    • 10.3.5 Business performance
    • 10.3.6 Key strategic moves and developments
  • 10.4 McKesson Corporation
    • 10.4.1 Company overview
    • 10.4.2 Company snapshot
    • 10.4.3 Operating business segments
    • 10.4.4 Product portfolio
    • 10.4.5 Business performance
    • 10.4.6 Key strategic moves and developments
  • 10.5 FAIR ISAAC Corporation
    • 10.5.1 Company overview
    • 10.5.2 Company snapshot
    • 10.5.3 Operating business segments
    • 10.5.4 Product portfolio
    • 10.5.5 Business performance
    • 10.5.6 Key strategic moves and developments
  • 10.6 SAS Institute Inc.
    • 10.6.1 Company overview
    • 10.6.2 Company snapshot
    • 10.6.3 Operating business segments
    • 10.6.4 Product portfolio
    • 10.6.5 Business performance
    • 10.6.6 Key strategic moves and developments
  • 10.7 HCL Technologies
    • 10.7.1 Company overview
    • 10.7.2 Company snapshot
    • 10.7.3 Operating business segments
    • 10.7.4 Product portfolio
    • 10.7.5 Business performance
    • 10.7.6 Key strategic moves and developments
  • 10.8 WIPRO LIMITED
    • 10.8.1 Company overview
    • 10.8.2 Company snapshot
    • 10.8.3 Operating business segments
    • 10.8.4 Product portfolio
    • 10.8.5 Business performance
    • 10.8.6 Key strategic moves and developments
  • 10.9 Conduent
    • 10.9.1 Company overview
    • 10.9.2 Company snapshot
    • 10.9.3 Operating business segments
    • 10.9.4 Product portfolio
    • 10.9.5 Business performance
    • 10.9.6 Key strategic moves and developments
  • 10.10 CGI Group
    • 10.10.1 Company overview
    • 10.10.2 Company snapshot
    • 10.10.3 Operating business segments
    • 10.10.4 Product portfolio
    • 10.10.5 Business performance
    • 10.10.6 Key strategic moves and developments
  • 10.11 DXC Technology Company
    • 10.11.1 Company overview
    • 10.11.2 Company snapshot
    • 10.11.3 Operating business segments
    • 10.11.4 Product portfolio
    • 10.11.5 Business performance
    • 10.11.6 Key strategic moves and developments
  • 10.12 UnitedHealth Group, Inc.
    • 10.12.1 Company overview
    • 10.12.2 Company snapshot
    • 10.12.3 Operating business segments
    • 10.12.4 Product portfolio
    • 10.12.5 Business performance
    • 10.12.6 Key strategic moves and developments
  • 10.13 Exlservice Holdings Inc.
    • 10.13.1 Company overview
    • 10.13.2 Company snapshot
    • 10.13.3 Operating business segments
    • 10.13.4 Product portfolio
    • 10.13.5 Business performance
    • 10.13.6 Key strategic moves and developments
  • 10.14 Cotiviti Inc.
    • 10.14.1 Company overview
    • 10.14.2 Company snapshot
    • 10.14.3 Operating business segments
    • 10.14.4 Product portfolio
    • 10.14.5 Business performance
    • 10.14.6 Key strategic moves and developments
  • 10.15 LexisNexis
    • 10.15.1 Company overview
    • 10.15.2 Company snapshot
    • 10.15.3 Operating business segments
    • 10.15.4 Product portfolio
    • 10.15.5 Business performance
    • 10.15.6 Key strategic moves and developments
  • 10.16 OSP Labs
    • 10.16.1 Company overview
    • 10.16.2 Company snapshot
    • 10.16.3 Operating business segments
    • 10.16.4 Product portfolio
    • 10.16.5 Business performance
    • 10.16.6 Key strategic moves and developments
  • 10.17 Northrop Grumman
    • 10.17.1 Company overview
    • 10.17.2 Company snapshot
    • 10.17.3 Operating business segments
    • 10.17.4 Product portfolio
    • 10.17.5 Business performance
    • 10.17.6 Key strategic moves and developments
  • 10.18 Northrop Grumman Corp
    • 10.18.1 Company overview
    • 10.18.2 Company snapshot
    • 10.18.3 Operating business segments
    • 10.18.4 Product portfolio
    • 10.18.5 Business performance
    • 10.18.6 Key strategic moves and developments

LIST OF TABLES

  • TABLE 1. GLOBAL HEALTHCARE FRAUD DETECTION MARKET, BY TYPE, 2021-2031 ($MILLION)
  • TABLE 2. HEALTHCARE FRAUD DETECTION MARKET SIZE, FOR DESCRIPTIVE ANALYTICS, BY REGION, 2021-2031 ($MILLION)
  • TABLE 3. HEALTHCARE FRAUD DETECTION MARKET FOR DESCRIPTIVE ANALYTICS, BY COUNTRY, 2021-2031 ($MILLION)
  • TABLE 4. HEALTHCARE FRAUD DETECTION MARKET SIZE, FOR PREDICTIVE ANALYTICS, BY REGION, 2021-2031 ($MILLION)
  • TABLE 5. HEALTHCARE FRAUD DETECTION MARKET FOR PREDICTIVE ANALYTICS, BY COUNTRY, 2021-2031 ($MILLION)
  • TABLE 6. HEALTHCARE FRAUD DETECTION MARKET SIZE, FOR PRESCRIPTIVE ANALYSIS, BY REGION, 2021-2031 ($MILLION)
  • TABLE 7. HEALTHCARE FRAUD DETECTION MARKET FOR PRESCRIPTIVE ANALYSIS, BY COUNTRY, 2021-2031 ($MILLION)
  • TABLE 8. GLOBAL HEALTHCARE FRAUD DETECTION MARKET, BY COMPONENT, 2021-2031 ($MILLION)
  • TABLE 9. HEALTHCARE FRAUD DETECTION MARKET SIZE, FOR SERVICES, BY REGION, 2021-2031 ($MILLION)
  • TABLE 10. HEALTHCARE FRAUD DETECTION MARKET FOR SERVICES, BY COUNTRY, 2021-2031 ($MILLION)
  • TABLE 11. HEALTHCARE FRAUD DETECTION MARKET SIZE, FOR SOFTWARE, BY REGION, 2021-2031 ($MILLION)
  • TABLE 12. HEALTHCARE FRAUD DETECTION MARKET FOR SOFTWARE, BY COUNTRY, 2021-2031 ($MILLION)
  • TABLE 13. GLOBAL HEALTHCARE FRAUD DETECTION MARKET, BY APPLICATION, 2021-2031 ($MILLION)
  • TABLE 14. HEALTHCARE FRAUD DETECTION MARKET SIZE, FOR INSURANCE CLAIMS REVIEW, BY REGION, 2021-2031 ($MILLION)
  • TABLE 15. HEALTHCARE FRAUD DETECTION MARKET FOR INSURANCE CLAIMS REVIEW, BY COUNTRY, 2021-2031 ($MILLION)
  • TABLE 16. HEALTHCARE FRAUD DETECTION MARKET SIZE, FOR PAYMENT INTEGRITY, BY REGION, 2021-2031 ($MILLION)
  • TABLE 17. HEALTHCARE FRAUD DETECTION MARKET FOR PAYMENT INTEGRITY, BY COUNTRY, 2021-2031 ($MILLION)
  • TABLE 18. GLOBAL HEALTHCARE FRAUD DETECTION MARKET, BY END USER, 2021-2031 ($MILLION)
  • TABLE 19. HEALTHCARE FRAUD DETECTION MARKET SIZE, FOR HEALTHCARE PAYER, BY REGION, 2021-2031 ($MILLION)
  • TABLE 20. HEALTHCARE FRAUD DETECTION MARKET FOR HEALTHCARE PAYER, BY COUNTRY, 2021-2031 ($MILLION)
  • TABLE 21. GLOBAL HEALTHCARE PAYER HEALTHCARE FRAUD DETECTION MARKET, BY TYPE, 2021-2031 ($MILLION)
  • TABLE 22. HEALTHCARE FRAUD DETECTION MARKET, FOR PUBLIC PAYERS, BY REGION, 2021-2031 ($MILLION)
  • TABLE 23. HEALTHCARE FRAUD DETECTION MARKET, FOR PRIVATE PLAYERS, BY REGION, 2021-2031 ($MILLION)
  • TABLE 24. HEALTHCARE FRAUD DETECTION MARKET SIZE, FOR GOVERNMENT AGENCIES, BY REGION, 2021-2031 ($MILLION)
  • TABLE 25. HEALTHCARE FRAUD DETECTION MARKET FOR GOVERNMENT AGENCIES, BY COUNTRY, 2021-2031 ($MILLION)
  • TABLE 26. HEALTHCARE FRAUD DETECTION MARKET SIZE, FOR OTHERS, BY REGION, 2021-2031 ($MILLION)
  • TABLE 27. HEALTHCARE FRAUD DETECTION MARKET FOR OTHERS, BY COUNTRY, 2021-2031 ($MILLION)
  • TABLE 28. HEALTHCARE FRAUD DETECTION MARKET, BY REGION, 2021-2031 ($MILLION)
  • TABLE 29. NORTH AMERICA HEALTHCARE FRAUD DETECTION MARKET, BY TYPE, 2021-2031 ($MILLION)
  • TABLE 30. NORTH AMERICA HEALTHCARE FRAUD DETECTION MARKET, BY COMPONENT, 2021-2031 ($MILLION)
  • TABLE 31. NORTH AMERICA HEALTHCARE FRAUD DETECTION MARKET, BY APPLICATION, 2021-2031 ($MILLION)
  • TABLE 32. NORTH AMERICA HEALTHCARE FRAUD DETECTION MARKET, BY END USER, 2021-2031 ($MILLION)
  • TABLE 33. NORTH AMERICA HEALTHCARE PAYER HEALTHCARE FRAUD DETECTION MARKET, BY TYPE, 2021-2031 ($MILLION)
  • TABLE 34. NORTH AMERICA HEALTHCARE FRAUD DETECTION MARKET, BY COUNTRY, 2021-2031 ($MILLION)
  • TABLE 35. U.S. HEALTHCARE FRAUD DETECTION MARKET, BY TYPE, 2021-2031 ($MILLION)
  • TABLE 36. U.S. HEALTHCARE FRAUD DETECTION MARKET, BY COMPONENT, 2021-2031 ($MILLION)
  • TABLE 37. U.S. HEALTHCARE FRAUD DETECTION MARKET, BY APPLICATION, 2021-2031 ($MILLION)
  • TABLE 38. U.S. HEALTHCARE FRAUD DETECTION MARKET, BY END USER, 2021-2031 ($MILLION)
  • TABLE 39. CANADA HEALTHCARE FRAUD DETECTION MARKET, BY TYPE, 2021-2031 ($MILLION)
  • TABLE 40. CANADA HEALTHCARE FRAUD DETECTION MARKET, BY COMPONENT, 2021-2031 ($MILLION)
  • TABLE 41. CANADA HEALTHCARE FRAUD DETECTION MARKET, BY APPLICATION, 2021-2031 ($MILLION)
  • TABLE 42. CANADA HEALTHCARE FRAUD DETECTION MARKET, BY END USER, 2021-2031 ($MILLION)
  • TABLE 43. MEXICO HEALTHCARE FRAUD DETECTION MARKET, BY TYPE, 2021-2031 ($MILLION)
  • TABLE 44. MEXICO HEALTHCARE FRAUD DETECTION MARKET, BY COMPONENT, 2021-2031 ($MILLION)
  • TABLE 45. MEXICO HEALTHCARE FRAUD DETECTION MARKET, BY APPLICATION, 2021-2031 ($MILLION)
  • TABLE 46. MEXICO HEALTHCARE FRAUD DETECTION MARKET, BY END USER, 2021-2031 ($MILLION)
  • TABLE 47. EUROPE HEALTHCARE FRAUD DETECTION MARKET, BY TYPE, 2021-2031 ($MILLION)
  • TABLE 48. EUROPE HEALTHCARE FRAUD DETECTION MARKET, BY COMPONENT, 2021-2031 ($MILLION)
  • TABLE 49. EUROPE HEALTHCARE FRAUD DETECTION MARKET, BY APPLICATION, 2021-2031 ($MILLION)
  • TABLE 50. EUROPE HEALTHCARE FRAUD DETECTION MARKET, BY END USER, 2021-2031 ($MILLION)
  • TABLE 51. EUROPE HEALTHCARE PAYER HEALTHCARE FRAUD DETECTION MARKET, BY TYPE, 2021-2031 ($MILLION)
  • TABLE 52. EUROPE HEALTHCARE FRAUD DETECTION MARKET, BY COUNTRY, 2021-2031 ($MILLION)
  • TABLE 53. GERMANY HEALTHCARE FRAUD DETECTION MARKET, BY TYPE, 2021-2031 ($MILLION)
  • TABLE 54. GERMANY HEALTHCARE FRAUD DETECTION MARKET, BY COMPONENT, 2021-2031 ($MILLION)
  • TABLE 55. GERMANY HEALTHCARE FRAUD DETECTION MARKET, BY APPLICATION, 2021-2031 ($MILLION)
  • TABLE 56. GERMANY HEALTHCARE FRAUD DETECTION MARKET, BY END USER, 2021-2031 ($MILLION)
  • TABLE 57. FRANCE HEALTHCARE FRAUD DETECTION MARKET, BY TYPE, 2021-2031 ($MILLION)
  • TABLE 58. FRANCE HEALTHCARE FRAUD DETECTION MARKET, BY COMPONENT, 2021-2031 ($MILLION)
  • TABLE 59. FRANCE HEALTHCARE FRAUD DETECTION MARKET, BY APPLICATION, 2021-2031 ($MILLION)
  • TABLE 60. FRANCE HEALTHCARE FRAUD DETECTION MARKET, BY END USER, 2021-2031 ($MILLION)
  • TABLE 61. UK HEALTHCARE FRAUD DETECTION MARKET, BY TYPE, 2021-2031 ($MILLION)
  • TABLE 62. UK HEALTHCARE FRAUD DETECTION MARKET, BY COMPONENT, 2021-2031 ($MILLION)
  • TABLE 63. UK HEALTHCARE FRAUD DETECTION MARKET, BY APPLICATION, 2021-2031 ($MILLION)
  • TABLE 64. UK HEALTHCARE FRAUD DETECTION MARKET, BY END USER, 2021-2031 ($MILLION)
  • TABLE 65. ITALY HEALTHCARE FRAUD DETECTION MARKET, BY TYPE, 2021-2031 ($MILLION)
  • TABLE 66. ITALY HEALTHCARE FRAUD DETECTION MARKET, BY COMPONENT, 2021-2031 ($MILLION)
  • TABLE 67. ITALY HEALTHCARE FRAUD DETECTION MARKET, BY APPLICATION, 2021-2031 ($MILLION)
  • TABLE 68. ITALY HEALTHCARE FRAUD DETECTION MARKET, BY END USER, 2021-2031 ($MILLION)
  • TABLE 69. SPAIN HEALTHCARE FRAUD DETECTION MARKET, BY TYPE, 2021-2031 ($MILLION)
  • TABLE 70. SPAIN HEALTHCARE FRAUD DETECTION MARKET, BY COMPONENT, 2021-2031 ($MILLION)
  • TABLE 71. SPAIN HEALTHCARE FRAUD DETECTION MARKET, BY APPLICATION, 2021-2031 ($MILLION)
  • TABLE 72. SPAIN HEALTHCARE FRAUD DETECTION MARKET, BY END USER, 2021-2031 ($MILLION)
  • TABLE 73. REST OF EUROPE HEALTHCARE FRAUD DETECTION MARKET, BY TYPE, 2021-2031 ($MILLION)
  • TABLE 74. REST OF EUROPE HEALTHCARE FRAUD DETECTION MARKET, BY COMPONENT, 2021-2031 ($MILLION)
  • TABLE 75. REST OF EUROPE HEALTHCARE FRAUD DETECTION MARKET, BY APPLICATION, 2021-2031 ($MILLION)
  • TABLE 76. REST OF EUROPE HEALTHCARE FRAUD DETECTION MARKET, BY END USER, 2021-2031 ($MILLION)
  • TABLE 77. ASIA-PACIFIC HEALTHCARE FRAUD DETECTION MARKET, BY TYPE, 2021-2031 ($MILLION)
  • TABLE 78. ASIA-PACIFIC HEALTHCARE FRAUD DETECTION MARKET, BY COMPONENT, 2021-2031 ($MILLION)
  • TABLE 79. ASIA-PACIFIC HEALTHCARE FRAUD DETECTION MARKET, BY APPLICATION, 2021-2031 ($MILLION)
  • TABLE 80. ASIA-PACIFIC HEALTHCARE FRAUD DETECTION MARKET, BY END USER, 2021-2031 ($MILLION)
  • TABLE 81. ASIA-PACIFIC HEALTHCARE PAYER HEALTHCARE FRAUD DETECTION MARKET, BY TYPE, 2021-2031 ($MILLION)
  • TABLE 82. ASIA-PACIFIC HEALTHCARE FRAUD DETECTION MARKET, BY COUNTRY, 2021-2031 ($MILLION)
  • TABLE 83. JAPAN HEALTHCARE FRAUD DETECTION MARKET, BY TYPE, 2021-2031 ($MILLION)
  • TABLE 84. JAPAN HEALTHCARE FRAUD DETECTION MARKET, BY COMPONENT, 2021-2031 ($MILLION)
  • TABLE 85. JAPAN HEALTHCARE FRAUD DETECTION MARKET, BY APPLICATION, 2021-2031 ($MILLION)
  • TABLE 86. JAPAN HEALTHCARE FRAUD DETECTION MARKET, BY END USER, 2021-2031 ($MILLION)
  • TABLE 87. CHINA HEALTHCARE FRAUD DETECTION MARKET, BY TYPE, 2021-2031 ($MILLION)
  • TABLE 88. CHINA HEALTHCARE FRAUD DETECTION MARKET, BY COMPONENT, 2021-2031 ($MILLION)
  • TABLE 89. CHINA HEALTHCARE FRAUD DETECTION MARKET, BY APPLICATION, 2021-2031 ($MILLION)
  • TABLE 90. CHINA HEALTHCARE FRAUD DETECTION MARKET, BY END USER, 2021-2031 ($MILLION)
  • TABLE 91. AUSTRALIA HEALTHCARE FRAUD DETECTION MARKET, BY TYPE, 2021-2031 ($MILLION)
  • TABLE 92. AUSTRALIA HEALTHCARE FRAUD DETECTION MARKET, BY COMPONENT, 2021-2031 ($MILLION)
  • TABLE 93. AUSTRALIA HEALTHCARE FRAUD DETECTION MARKET, BY APPLICATION, 2021-2031 ($MILLION)
  • TABLE 94. AUSTRALIA HEALTHCARE FRAUD DETECTION MARKET, BY END USER, 2021-2031 ($MILLION)
  • TABLE 95. INDIA HEALTHCARE FRAUD DETECTION MARKET, BY TYPE, 2021-2031 ($MILLION)
  • TABLE 96. INDIA HEALTHCARE FRAUD DETECTION MARKET, BY COMPONENT, 2021-2031 ($MILLION)
  • TABLE 97. INDIA HEALTHCARE FRAUD DETECTION MARKET, BY APPLICATION, 2021-2031 ($MILLION)
  • TABLE 98. INDIA HEALTHCARE FRAUD DETECTION MARKET, BY END USER, 2021-2031 ($MILLION)
  • TABLE 99. SOUTH KOREA HEALTHCARE FRAUD DETECTION MARKET, BY TYPE, 2021-2031 ($MILLION)
  • TABLE 100. SOUTH KOREA HEALTHCARE FRAUD DETECTION MARKET, BY COMPONENT, 2021-2031 ($MILLION)
  • TABLE 101. SOUTH KOREA HEALTHCARE FRAUD DETECTION MARKET, BY APPLICATION, 2021-2031 ($MILLION)
  • TABLE 102. SOUTH KOREA HEALTHCARE FRAUD DETECTION MARKET, BY END USER, 2021-2031 ($MILLION)
  • TABLE 103. REST OF ASIA-PACIFIC HEALTHCARE FRAUD DETECTION MARKET, BY TYPE, 2021-2031 ($MILLION)
  • TABLE 104. REST OF ASIA-PACIFIC HEALTHCARE FRAUD DETECTION MARKET, BY COMPONENT, 2021-2031 ($MILLION)
  • TABLE 105. REST OF ASIA-PACIFIC HEALTHCARE FRAUD DETECTION MARKET, BY APPLICATION, 2021-2031 ($MILLION)
  • TABLE 106. REST OF ASIA-PACIFIC HEALTHCARE FRAUD DETECTION MARKET, BY END USER, 2021-2031 ($MILLION)
  • TABLE 107. LAMEA HEALTHCARE FRAUD DETECTION MARKET, BY TYPE, 2021-2031 ($MILLION)
  • TABLE 108. LAMEA HEALTHCARE FRAUD DETECTION MARKET, BY COMPONENT, 2021-2031 ($MILLION)
  • TABLE 109. LAMEA HEALTHCARE FRAUD DETECTION MARKET, BY APPLICATION, 2021-2031 ($MILLION)
  • TABLE 110. LAMEA HEALTHCARE FRAUD DETECTION MARKET, BY END USER, 2021-2031 ($MILLION)
  • TABLE 111. LAMEA HEALTHCARE PAYER HEALTHCARE FRAUD DETECTION MARKET, BY TYPE, 2021-2031 ($MILLION)
  • TABLE 112. LAMEA HEALTHCARE FRAUD DETECTION MARKET, BY COUNTRY, 2021-2031 ($MILLION)
  • TABLE 113. BRAZIL HEALTHCARE FRAUD DETECTION MARKET, BY TYPE, 2021-2031 ($MILLION)
  • TABLE 114. BRAZIL HEALTHCARE FRAUD DETECTION MARKET, BY COMPONENT, 2021-2031 ($MILLION)
  • TABLE 115. BRAZIL HEALTHCARE FRAUD DETECTION MARKET, BY APPLICATION, 2021-2031 ($MILLION)
  • TABLE 116. BRAZIL HEALTHCARE FRAUD DETECTION MARKET, BY END USER, 2021-2031 ($MILLION)
  • TABLE 117. SAUDI ARABIA HEALTHCARE FRAUD DETECTION MARKET, BY TYPE, 2021-2031 ($MILLION)
  • TABLE 118. SAUDI ARABIA HEALTHCARE FRAUD DETECTION MARKET, BY COMPONENT, 2021-2031 ($MILLION)
  • TABLE 119. SAUDI ARABIA HEALTHCARE FRAUD DETECTION MARKET, BY APPLICATION, 2021-2031 ($MILLION)
  • TABLE 120. SAUDI ARABIA HEALTHCARE FRAUD DETECTION MARKET, BY END USER, 2021-2031 ($MILLION)
  • TABLE 121. SOUTH AFRICA HEALTHCARE FRAUD DETECTION MARKET, BY TYPE, 2021-2031 ($MILLION)
  • TABLE 122. SOUTH AFRICA HEALTHCARE FRAUD DETECTION MARKET, BY COMPONENT, 2021-2031 ($MILLION)
  • TABLE 123. SOUTH AFRICA HEALTHCARE FRAUD DETECTION MARKET, BY APPLICATION, 2021-2031 ($MILLION)
  • TABLE 124. SOUTH AFRICA HEALTHCARE FRAUD DETECTION MARKET, BY END USER, 2021-2031 ($MILLION)
  • TABLE 125. REST OF LAMEA HEALTHCARE FRAUD DETECTION MARKET, BY TYPE, 2021-2031 ($MILLION)
  • TABLE 126. REST OF LAMEA HEALTHCARE FRAUD DETECTION MARKET, BY COMPONENT, 2021-2031 ($MILLION)
  • TABLE 127. REST OF LAMEA HEALTHCARE FRAUD DETECTION MARKET, BY APPLICATION, 2021-2031 ($MILLION)
  • TABLE 128. REST OF LAMEA HEALTHCARE FRAUD DETECTION MARKET, BY END USER, 2021-2031 ($MILLION)
  • TABLE 129.INTERNATIONAL BUSINESS MACHINES CORPORATION (IBM): COMPANY SNAPSHOT
  • TABLE 130.INTERNATIONAL BUSINESS MACHINES CORPORATION (IBM): OPERATING SEGMENTS
  • TABLE 131.INTERNATIONAL BUSINESS MACHINES CORPORATION (IBM): PRODUCT PORTFOLIO
  • TABLE 132.INTERNATIONAL BUSINESS MACHINES CORPORATION (IBM): NET SALES,
  • TABLE 133.INTERNATIONAL BUSINESS MACHINES CORPORATION (IBM): KEY STRATERGIES
  • TABLE 134.OPTUM INC.: COMPANY SNAPSHOT
  • TABLE 135.OPTUM INC.: OPERATING SEGMENTS
  • TABLE 136.OPTUM INC.: PRODUCT PORTFOLIO
  • TABLE 137.OPTUM INC.: NET SALES,
  • TABLE 138.OPTUM INC.: KEY STRATERGIES
  • TABLE 139.VERSCEND TECHNOLOGIES: COMPANY SNAPSHOT
  • TABLE 140.VERSCEND TECHNOLOGIES: OPERATING SEGMENTS
  • TABLE 141.VERSCEND TECHNOLOGIES: PRODUCT PORTFOLIO
  • TABLE 142.VERSCEND TECHNOLOGIES: NET SALES,
  • TABLE 143.VERSCEND TECHNOLOGIES: KEY STRATERGIES
  • TABLE 144.MCKESSON CORPORATION: COMPANY SNAPSHOT
  • TABLE 145.MCKESSON CORPORATION: OPERATING SEGMENTS
  • TABLE 146.MCKESSON CORPORATION: PRODUCT PORTFOLIO
  • TABLE 147.MCKESSON CORPORATION: NET SALES,
  • TABLE 148.MCKESSON CORPORATION: KEY STRATERGIES
  • TABLE 149.FAIR ISAAC CORPORATION: COMPANY SNAPSHOT
  • TABLE 150.FAIR ISAAC CORPORATION: OPERATING SEGMENTS
  • TABLE 151.FAIR ISAAC CORPORATION: PRODUCT PORTFOLIO
  • TABLE 152.FAIR ISAAC CORPORATION: NET SALES,
  • TABLE 153.FAIR ISAAC CORPORATION: KEY STRATERGIES
  • TABLE 154.SAS INSTITUTE INC.: COMPANY SNAPSHOT
  • TABLE 155.SAS INSTITUTE INC.: OPERATING SEGMENTS
  • TABLE 156.SAS INSTITUTE INC.: PRODUCT PORTFOLIO
  • TABLE 157.SAS INSTITUTE INC.: NET SALES,
  • TABLE 158.SAS INSTITUTE INC.: KEY STRATERGIES
  • TABLE 159.HCL TECHNOLOGIES: COMPANY SNAPSHOT
  • TABLE 160.HCL TECHNOLOGIES: OPERATING SEGMENTS
  • TABLE 161.HCL TECHNOLOGIES: PRODUCT PORTFOLIO
  • TABLE 162.HCL TECHNOLOGIES: NET SALES,
  • TABLE 163.HCL TECHNOLOGIES: KEY STRATERGIES
  • TABLE 164.WIPRO LIMITED: COMPANY SNAPSHOT
  • TABLE 165.WIPRO LIMITED: OPERATING SEGMENTS
  • TABLE 166.WIPRO LIMITED: PRODUCT PORTFOLIO
  • TABLE 167.WIPRO LIMITED: NET SALES,
  • TABLE 168.WIPRO LIMITED: KEY STRATERGIES
  • TABLE 169.CONDUENT: COMPANY SNAPSHOT
  • TABLE 170.CONDUENT: OPERATING SEGMENTS
  • TABLE 171.CONDUENT: PRODUCT PORTFOLIO
  • TABLE 172.CONDUENT: NET SALES,
  • TABLE 173.CONDUENT: KEY STRATERGIES
  • TABLE 174.CGI GROUP: COMPANY SNAPSHOT
  • TABLE 175.CGI GROUP: OPERATING SEGMENTS
  • TABLE 176.CGI GROUP: PRODUCT PORTFOLIO
  • TABLE 177.CGI GROUP: NET SALES,
  • TABLE 178.CGI GROUP: KEY STRATERGIES
  • TABLE 179.DXC TECHNOLOGY COMPANY: COMPANY SNAPSHOT
  • TABLE 180.DXC TECHNOLOGY COMPANY: OPERATING SEGMENTS
  • TABLE 181.DXC TECHNOLOGY COMPANY: PRODUCT PORTFOLIO
  • TABLE 182.DXC TECHNOLOGY COMPANY: NET SALES,
  • TABLE 183.DXC TECHNOLOGY COMPANY: KEY STRATERGIES
  • TABLE 184.UNITEDHEALTH GROUP, INC.: COMPANY SNAPSHOT
  • TABLE 185.UNITEDHEALTH GROUP, INC.: OPERATING SEGMENTS
  • TABLE 186.UNITEDHEALTH GROUP, INC.: PRODUCT PORTFOLIO
  • TABLE 187.UNITEDHEALTH GROUP, INC.: NET SALES,
  • TABLE 188.UNITEDHEALTH GROUP, INC.: KEY STRATERGIES
  • TABLE 189.EXLSERVICE HOLDINGS INC.: COMPANY SNAPSHOT
  • TABLE 190.EXLSERVICE HOLDINGS INC.: OPERATING SEGMENTS
  • TABLE 191.EXLSERVICE HOLDINGS INC.: PRODUCT PORTFOLIO
  • TABLE 192.EXLSERVICE HOLDINGS INC.: NET SALES,
  • TABLE 193.EXLSERVICE HOLDINGS INC.: KEY STRATERGIES
  • TABLE 194.COTIVITI INC.: COMPANY SNAPSHOT
  • TABLE 195.COTIVITI INC.: OPERATING SEGMENTS
  • TABLE 196.COTIVITI INC.: PRODUCT PORTFOLIO
  • TABLE 197.COTIVITI INC.: NET SALES,
  • TABLE 198.COTIVITI INC.: KEY STRATERGIES
  • TABLE 199.LEXISNEXIS: COMPANY SNAPSHOT
  • TABLE 200.LEXISNEXIS: OPERATING SEGMENTS
  • TABLE 201.LEXISNEXIS: PRODUCT PORTFOLIO
  • TABLE 202.LEXISNEXIS: NET SALES,
  • TABLE 203.LEXISNEXIS: KEY STRATERGIES
  • TABLE 204.OSP LABS: COMPANY SNAPSHOT
  • TABLE 205.OSP LABS: OPERATING SEGMENTS
  • TABLE 206.OSP LABS: PRODUCT PORTFOLIO
  • TABLE 207.OSP LABS: NET SALES,
  • TABLE 208.OSP LABS: KEY STRATERGIES
  • TABLE 209.NORTHROP GRUMMAN: COMPANY SNAPSHOT
  • TABLE 210.NORTHROP GRUMMAN: OPERATING SEGMENTS
  • TABLE 211.NORTHROP GRUMMAN: PRODUCT PORTFOLIO
  • TABLE 212.NORTHROP GRUMMAN: NET SALES,
  • TABLE 213.NORTHROP GRUMMAN: KEY STRATERGIES
  • TABLE 214.NORTHROP GRUMMAN CORP: COMPANY SNAPSHOT
  • TABLE 215.NORTHROP GRUMMAN CORP: OPERATING SEGMENTS
  • TABLE 216.NORTHROP GRUMMAN CORP: PRODUCT PORTFOLIO
  • TABLE 217.NORTHROP GRUMMAN CORP: NET SALES,
  • TABLE 218.NORTHROP GRUMMAN CORP: KEY STRATERGIES

LIST OF FIGURES

  • FIGURE 1.HEALTHCARE FRAUD DETECTION MARKET SEGMENTATION
  • FIGURE 2.HEALTHCARE FRAUD DETECTION MARKET,2021-2031
  • FIGURE 3.HEALTHCARE FRAUD DETECTION MARKET,2021-2031
  • FIGURE 4. TOP INVESTMENT POCKETS, BY REGION
  • FIGURE 5.PORTER FIVE-1
  • FIGURE 6.PORTER FIVE-2
  • FIGURE 7.PORTER FIVE-3
  • FIGURE 8.PORTER FIVE-4
  • FIGURE 9.PORTER FIVE-5
  • FIGURE 10.TOP PLAYER POSITIONING
  • FIGURE 11.HEALTHCARE FRAUD DETECTION MARKET:DRIVERS, RESTRAINTS AND OPPORTUNITIES
  • FIGURE 12.HEALTHCARE FRAUD DETECTION MARKET,BY TYPE,2021(%)
  • FIGURE 13.COMPARATIVE SHARE ANALYSIS OF DESCRIPTIVE ANALYTICS HEALTHCARE FRAUD DETECTION MARKET,2021-2031(%)
  • FIGURE 14.COMPARATIVE SHARE ANALYSIS OF PREDICTIVE ANALYTICS HEALTHCARE FRAUD DETECTION MARKET,2021-2031(%)
  • FIGURE 15.COMPARATIVE SHARE ANALYSIS OF PRESCRIPTIVE ANALYSIS HEALTHCARE FRAUD DETECTION MARKET,2021-2031(%)
  • FIGURE 16.HEALTHCARE FRAUD DETECTION MARKET,BY COMPONENT,2021(%)
  • FIGURE 17.COMPARATIVE SHARE ANALYSIS OF SERVICES HEALTHCARE FRAUD DETECTION MARKET,2021-2031(%)
  • FIGURE 18.COMPARATIVE SHARE ANALYSIS OF SOFTWARE HEALTHCARE FRAUD DETECTION MARKET,2021-2031(%)
  • FIGURE 19.HEALTHCARE FRAUD DETECTION MARKET,BY APPLICATION,2021(%)
  • FIGURE 20.COMPARATIVE SHARE ANALYSIS OF INSURANCE CLAIMS REVIEW HEALTHCARE FRAUD DETECTION MARKET,2021-2031(%)
  • FIGURE 21.COMPARATIVE SHARE ANALYSIS OF PAYMENT INTEGRITY HEALTHCARE FRAUD DETECTION MARKET,2021-2031(%)
  • FIGURE 22.HEALTHCARE FRAUD DETECTION MARKET,BY END USER,2021(%)
  • FIGURE 23.COMPARATIVE SHARE ANALYSIS OF HEALTHCARE PAYER HEALTHCARE FRAUD DETECTION MARKET,2021-2031(%)
  • FIGURE 24.COMPARATIVE SHARE ANALYSIS OF GOVERNMENT AGENCIES HEALTHCARE FRAUD DETECTION MARKET,2021-2031(%)
  • FIGURE 25.COMPARATIVE SHARE ANALYSIS OF OTHERS HEALTHCARE FRAUD DETECTION MARKET,2021-2031(%)
  • FIGURE 26.HEALTHCARE FRAUD DETECTION MARKET BY REGION,2021
  • FIGURE 27.U.S. HEALTHCARE FRAUD DETECTION MARKET,2021-2031($MILLION)
  • FIGURE 28.CANADA HEALTHCARE FRAUD DETECTION MARKET,2021-2031($MILLION)
  • FIGURE 29.MEXICO HEALTHCARE FRAUD DETECTION MARKET,2021-2031($MILLION)
  • FIGURE 30.GERMANY HEALTHCARE FRAUD DETECTION MARKET,2021-2031($MILLION)
  • FIGURE 31.FRANCE HEALTHCARE FRAUD DETECTION MARKET,2021-2031($MILLION)
  • FIGURE 32.UK HEALTHCARE FRAUD DETECTION MARKET,2021-2031($MILLION)
  • FIGURE 33.ITALY HEALTHCARE FRAUD DETECTION MARKET,2021-2031($MILLION)
  • FIGURE 34.SPAIN HEALTHCARE FRAUD DETECTION MARKET,2021-2031($MILLION)
  • FIGURE 35.REST OF EUROPE HEALTHCARE FRAUD DETECTION MARKET,2021-2031($MILLION)
  • FIGURE 36.JAPAN HEALTHCARE FRAUD DETECTION MARKET,2021-2031($MILLION)
  • FIGURE 37.CHINA HEALTHCARE FRAUD DETECTION MARKET,2021-2031($MILLION)
  • FIGURE 38.AUSTRALIA HEALTHCARE FRAUD DETECTION MARKET,2021-2031($MILLION)
  • FIGURE 39.INDIA HEALTHCARE FRAUD DETECTION MARKET,2021-2031($MILLION)
  • FIGURE 40.SOUTH KOREA HEALTHCARE FRAUD DETECTION MARKET,2021-2031($MILLION)
  • FIGURE 41.REST OF ASIA-PACIFIC HEALTHCARE FRAUD DETECTION MARKET,2021-2031($MILLION)
  • FIGURE 42.BRAZIL HEALTHCARE FRAUD DETECTION MARKET,2021-2031($MILLION)
  • FIGURE 43.SAUDI ARABIA HEALTHCARE FRAUD DETECTION MARKET,2021-2031($MILLION)
  • FIGURE 44.SOUTH AFRICA HEALTHCARE FRAUD DETECTION MARKET,2021-2031($MILLION)
  • FIGURE 45.REST OF LAMEA HEALTHCARE FRAUD DETECTION MARKET,2021-2031($MILLION)
  • FIGURE 46. TOP WINNING STRATEGIES, BY YEAR
  • FIGURE 47. TOP WINNING STRATEGIES, BY DEVELOPMENT
  • FIGURE 48. TOP WINNING STRATEGIES, BY COMPANY
  • FIGURE 49.PRODUCT MAPPING OF TOP 10 PLAYERS
  • FIGURE 50.COMPETITIVE DASHBOARD
  • FIGURE 51.COMPETITIVE HEATMAP OF TOP 10 KEY PLAYERS
  • FIGURE 52.INTERNATIONAL BUSINESS MACHINES CORPORATION (IBM).: NET SALES ,($MILLION)
  • FIGURE 53.OPTUM INC..: NET SALES ,($MILLION)
  • FIGURE 54.VERSCEND TECHNOLOGIES.: NET SALES ,($MILLION)
  • FIGURE 55.MCKESSON CORPORATION.: NET SALES ,($MILLION)
  • FIGURE 56.FAIR ISAAC CORPORATION.: NET SALES ,($MILLION)
  • FIGURE 57.SAS INSTITUTE INC..: NET SALES ,($MILLION)
  • FIGURE 58.HCL TECHNOLOGIES.: NET SALES ,($MILLION)
  • FIGURE 59.WIPRO LIMITED.: NET SALES ,($MILLION)
  • FIGURE 60.CONDUENT.: NET SALES ,($MILLION)
  • FIGURE 61.CGI GROUP.: NET SALES ,($MILLION)
  • FIGURE 62.DXC TECHNOLOGY COMPANY.: NET SALES ,($MILLION)
  • FIGURE 63.UNITEDHEALTH GROUP, INC..: NET SALES ,($MILLION)
  • FIGURE 64.EXLSERVICE HOLDINGS INC..: NET SALES ,($MILLION)
  • FIGURE 65.COTIVITI INC..: NET SALES ,($MILLION)
  • FIGURE 66.LEXISNEXIS.: NET SALES ,($MILLION)
  • FIGURE 67.OSP LABS.: NET SALES ,($MILLION)
  • FIGURE 68.NORTHROP GRUMMAN.: NET SALES ,($MILLION)
  • FIGURE 69.NORTHROP GRUMMAN CORP.: NET SALES ,($MILLION)