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Medical Payment Fraud Detection Market Research Report Information By Type (Descriptive Analytics, Predictive Analytics, Prescriptive Analytics), By Component (Services, Software), By Delivery Mode (On-premise, Cloud-based), By Source of Service (In-house, Outsourced), By End-User (Private Insurance Payers, Public/Government Agencies, Third-Party Service Providers), And By Region (North America, Europe, Asia-Pacific, And Rest Of The World) โ€“Market Forecast Till 2032


ID: MRFR/MED/8300-HCR | 120 Pages | Author: Kinjoll Dey| December 2024

Market Segmentation


Medical Payment Fraud Detection Type Outlook (USD Billion, 2018-2032)




  • Descriptive Analytics




  • Predictive Analytics




  • Prescriptive Analytics




Medical Payment Fraud Detection Component Outlook (USD Billion, 2018-2032)




  • Services




  • Software




Medical Payment Fraud Detection Delivery Model Outlook (USD Billion, 2018-2032)




  • On-premise




  • Cloud-based




Medical Payment Fraud Detection Source of Service Outlook (USD Billion, 2018-2032)




  • In-house




  • Outsourced




Medical Payment Fraud Detection End-User Outlook (USD Billion, 2018-2032)




  • Private Insurance Payers




  • Public/Government Agencies




  • Third-Party Service Providers




Medical Payment Fraud Detection Regional Outlook (USD Billion, 2018-2032)




  • North America Outlook (USD Billion, 2018-2032)




    • North America Medical Payment Fraud Detection by Type




      • Descriptive Analytics




      • Predictive Analytics




      • Prescriptive Analytics






    • North America Medical Payment Fraud Detection by Component




      • Services




      • Software






    • North America Medical Payment Fraud Detection by Delivery Model




      • On-Premise




      • Cloud-Based






    • North America Medical Payment Fraud Detection by Source of Service




      • In-house




      • Outsourced






    • North America Medical Payment Fraud Detection by End-User




      • Private Insurance Payers




      • Public/Government Agencies




      • Third-Party Service Providers






    • US Outlook (USD Billion, 2018-2032)




    • US Medical Payment Fraud Detection by Type




      • Descriptive Analytics




      • Predictive Analytics




      • Prescriptive Analytics






    • US Medical Payment Fraud Detection by Component




      • Services




      • Software






    • US Medical Payment Fraud Detection by Delivery Model




      • On-Premise




      • Cloud-Based






    • US Medical Payment Fraud Detection by Source of Service




      • In-house




      • Outsourced






    • US Medical Payment Fraud Detection by End-User




      • Private Insurance Payers




      • Public/Government Agencies




      • Third-Party Service Providers






    • CANADA Outlook (USD Billion, 2018-2032)




    • CANADA Medical Payment Fraud Detection by Type




      • Descriptive Analytics




      • Predictive Analytics




      • Prescriptive Analytics






    • CANADA Medical Payment Fraud Detection by Component




      • Services




      • Software






    • CANADA Medical Payment Fraud Detection by Delivery Model




      • On-Premise




      • Cloud-Based






    • CANADA Medical Payment Fraud Detection by Source of Service




      • In-house




      • Outsourced






    • CANADA Medical Payment Fraud Detection by End-User




      • Private Insurance Payers




      • Public/Government Agencies




      • Third-Party Service Providers








  • Europe Outlook (USD Billion, 2018-2032)




    • Europe Medical Payment Fraud Detection by Type




      • Descriptive Analytics




      • Predictive Analytics




      • Prescriptive Analytics






    • Europe Medical Payment Fraud Detection by Component




      • Services




      • Software






    • Europe Medical Payment Fraud Detection by Delivery Model




      • On-Premise




      • Cloud-Based






    • Europe Medical Payment Fraud Detection by Source of Service




      • In-house




      • Outsourced






    • Europe Medical Payment Fraud Detection by End-User




      • Private Insurance Payers




      • Public/Government Agencies




      • Third-Party Service Providers






    • Germany Outlook (USD Billion, 2018-2032)




    • Germany Medical Payment Fraud Detection by Type




      • Descriptive Analytics




      • Predictive Analytics




      • Prescriptive Analytics






    • Germany Medical Payment Fraud Detection by Component




      • Services




      • Software






    • Germany Medical Payment Fraud Detection by Delivery Model




      • On-Premise




      • Cloud-Based






    • Germany Medical Payment Fraud Detection by Source of Service




      • In-house




      • Outsourced






    • Germany Medical Payment Fraud Detection by End-User




      • Private Insurance Payers




      • Public/Government Agencies




      • Third-Party Service Providers






    • France Outlook (USD Billion, 2018-2032)




    • France Medical Payment Fraud Detection by Type




      • Descriptive Analytics




      • Predictive Analytics




      • Prescriptive Analytics






    • France Medical Payment Fraud Detection by Component




      • Services




      • Software






    • France Medical Payment Fraud Detection by Delivery Model




      • On-Premise




      • Cloud-Based






    • France Medical Payment Fraud Detection by Source of Service




      • In-house




      • Outsourced






    • France Medical Payment Fraud Detection by End-User




      • Private Insurance Payers




      • Public/Government Agencies




      • Third-Party Service Providers






    • UK Outlook (USD Billion, 2018-2032)




    • UK Medical Payment Fraud Detection by Type




      • Descriptive Analytics




      • Predictive Analytics




      • Prescriptive Analytics






    • UK Medical Payment Fraud Detection by Component




      • Services




      • Software






    • UK Medical Payment Fraud Detection by Delivery Model




      • On-Premise




      • Cloud-Based






    • UK Medical Payment Fraud Detection by Source of Service




      • In-house




      • Outsourced






    • UK Medical Payment Fraud Detection by End-User




      • Private Insurance Payers




      • Public/Government Agencies




      • Third-Party Service Providers






    • ITALY Outlook (USD Billion, 2018-2032)




    • ITALY Medical Payment Fraud Detection by Type




      • Descriptive Analytics




      • Predictive Analytics




      • Prescriptive Analytics






    • ITALY Medical Payment Fraud Detection by Component




      • Services




      • Software






    • ITALY Medical Payment Fraud Detection by Delivery Model




      • On-Premise




      • Cloud-Based






    • ITALY Medical Payment Fraud Detection by Source of Service




      • In-house




      • Outsourced






    • ITALY Medical Payment Fraud Detection by End-User




      • Private Insurance Payers




      • Public/Government Agencies




      • Third-Party Service Providers






    • SPAIN Outlook (USD Billion, 2018-2032)




    • Spain Medical Payment Fraud Detection by Type




      • Descriptive Analytics




      • Predictive Analytics




      • Prescriptive Analytics






    • Spain Medical Payment Fraud Detection by Component




      • Services




      • Software






    • Spain Medical Payment Fraud Detection by Delivery Model




      • On-Premise




      • Cloud-Based






    • Spain Medical Payment Fraud Detection by Source of Service




      • In-house




      • Outsourced






    • Spain Medical Payment Fraud Detection by End-User




      • Private Insurance Payers




      • Public/Government Agencies




      • Third-Party Service Providers






    • Rest Of Europe Outlook (USD Billion, 2018-2032)




    • Rest Of Europe Medical Payment Fraud Detection by Type




      • Descriptive Analytics




      • Predictive Analytics




      • Prescriptive Analytics






    • REST OF EUROPE Medical Payment Fraud Detection by Component




      • Services




      • Software






    • REST OF EUROPE Medical Payment Fraud Detection by Delivery Model




      • On-Premise




      • Cloud-Based






    • REST OF EUROPE Medical Payment Fraud Detection by Source of Service




      • In-house




      • Outsourced






    • REST OF EUROPE Medical Payment Fraud Detection by End-User




      • Private Insurance Payers




      • Public/Government Agencies




      • Third-Party Service Providers








  • Asia-Pacific Outlook (USD Billion, 2018-2032)




    • Asia-Pacific Medical Payment Fraud Detection by Type




      • Descriptive Analytics




      • Predictive Analytics




      • Prescriptive Analytics






    • Asia-Pacific Medical Payment Fraud Detection by Component




      • Services




      • Software






    • Asia-Pacific Medical Payment Fraud Detection by Delivery Model




      • On-premise




      • Cloud-Based






    • Asia-Pacific Medical Payment Fraud Detection by Source of Service




      • In-house




      • Outsourced






    • Asia-Pacific Medical Payment Fraud Detection by End-User




      • Private Insurance Payers




      • Public/Government Agencies




      • Third-Party Service Providers






    • China Outlook (USD Billion, 2018-2032)




    • China Medical Payment Fraud Detection by Type




      • Descriptive Analytics




      • Predictive Analytics




      • Prescriptive Analytics






    • China Medical Payment Fraud Detection by Component




      • Services




      • Software






    • China Medical Payment Fraud Detection by Delivery Model




      • On-Premise




      • Cloud-Based






    • China Medical Payment Fraud Detection by Source of Service




      • In-house




      • Outsourced






    • China Medical Payment Fraud Detection by End-User




      • Private Insurance Payers




      • Public/Government Agencies




      • Third-Party Service Providers






    • Japan Outlook (USD Billion, 2018-2032)




    • Japan Medical Payment Fraud Detection by Type




      • Descriptive Analytics




      • Predictive Analytics




      • Prescriptive Analytics






    • Japan Medical Payment Fraud Detection by Component




      • Services




      • Software






    • Japan Medical Payment Fraud Detection by Delivery Model




      • On-Premise




      • Cloud-Based






    • Japan Medical Payment Fraud Detection by Source of Service




      • In-house




      • Outsourced






    • Japan Medical Payment Fraud Detection by End-User




      • Private Insurance Payers




      • Public/Government Agencies




      • Third-Party Service Providers






    • India Outlook (USD Billion, 2018-2032)




    • India Medical Payment Fraud Detection by Type




      • Descriptive Analytics




      • Predictive Analytics




      • Prescriptive Analytics






    • India Medical Payment Fraud Detection by Component




      • Services




      • Software






    • India Medical Payment Fraud Detection by Delivery Model




      • On-Premise




      • Cloud-Based






    • India Medical Payment Fraud Detection by Source of Service




      • In-house




      • Outsourced






    • India Medical Payment Fraud Detection by End-User




      • Private Insurance Payers




      • Public/Government Agencies




      • Third-Party Service Providers






    • Australia Outlook (USD Billion, 2018-2032)




    • Australia Medical Payment Fraud Detection by Type




      • Descriptive Analytics




      • Predictive Analytics




      • Prescriptive Analytics






    • Australia Medical Payment Fraud Detection by Component




      • Services




      • Software






    • Australia Medical Payment Fraud Detection by Delivery Model




      • On-Premise




      • Cloud-Based






    • Australia Medical Payment Fraud Detection by Source of Service




      • In-house




      • Outsourced






    • Australia Medical Payment Fraud Detection by End-User




      • Private Insurance Payers




      • Public/Government Agencies




      • Third-Party Service Providers






    • Rest of Asia-Pacific Outlook (USD Billion, 2018-2032)




    • Rest of Asia-Pacific Medical Payment Fraud Detection by Type




      • Descriptive Analytics




      • Predictive Analytics




      • Prescriptive Analytics






    • Rest of Asia-Pacific Medical Payment Fraud Detection by Component




      • Services




      • Software






    • Rest of Asia-Pacific Medical Payment Fraud Detection by Delivery Model




      • On-Premise




      • Cloud-Based






    • Rest of Asia-Pacific Medical Payment Fraud Detection by Source of Service




      • In-house




      • Outsourced






    • Rest of Asia-Pacific Medical Payment Fraud Detection by End-User




      • Private Insurance Payers




      • Public/Government Agencies




      • Third-Party Service Providers








  • Rest of the World Outlook (USD Billion, 2018-2032)




    • Rest of the World Medical Payment Fraud Detection by Type




      • Descriptive Analytics




      • Predictive Analytics




      • Prescriptive Analytics






    • Rest of the World Medical Payment Fraud Detection by Component




      • Services




      • Software






    • Rest of the World Medical Payment Fraud Detection by Delivery Model




      • On-Premise




      • Cloud-Based






    • Rest of the World Medical Payment Fraud Detection by Source of Service




      • In-house




      • Outsourced






    • Rest of the World Medical Payment Fraud Detection by End-User




      • Private Insurance Payers




      • Public/Government Agencies




      • Third-Party Service Providers










  • Middle East Outlook (USD Billion, 2018-2032)







    • Middle East Medical Payment Fraud Detection by Type




      • Descriptive Analytics




      • Predictive Analytics




      • Prescriptive Analytics






    • Middle East Medical Payment Fraud Detection by Component




      • Services




      • Software






    • Middle East Medical Payment Fraud Detection by Delivery Model




      • On-Premise




      • Cloud-Based






    • Middle East Medical Payment Fraud Detection by Source of Service




      • In-house




      • Outsourced






    • Middle East Medical Payment Fraud Detection by End-User




      • Private Insurance Payers




      • Public/Government Agencies




      • Third-Party Service Providers






    • Africa Outlook (USD Billion, 2018-2032)




    • Africa Medical Payment Fraud Detection by Type




      • Descriptive Analytics




      • Predictive Analytics




      • Prescriptive Analytics






    • Africa Medical Payment Fraud Detection by Component




      • Services




      • Software






    • Africa Medical Payment Fraud Detection by Delivery Model




      • On-Premise




      • Cloud-Based






    • Africa Medical Payment Fraud Detection by Source of Service




      • In-house




      • Outsourced






    • Africa Medical Payment Fraud Detection by End-User




      • Private Insurance Payers




      • Public/Government Agencies




      • Third-Party Service Providers






    • Latin America Outlook (USD Billion, 2018-2032)




    • Latin America Medical Payment Fraud Detection by Type




      • Descriptive Analytics




      • Predictive Analytics




      • Prescriptive Analytics






    • Latin America Medical Payment Fraud Detection by Component




      • Services




      • Software






    • Latin America Medical Payment Fraud Detection by Delivery Model




      • On-Premise




      • Cloud-Based






    • Latin America Medical Payment Fraud Detection by Source of Service




      • In-house




      • Outsourced






    • Latin America Medical Payment Fraud Detection by End-User




      • Private Insurance Payers




      • Public/Government Agencies




      • Third-Party Service Providers






Research Methodology on Medical Payment Fraud Detection Market


This report presents an analytical research methodology, from the earliest stages of primary research and data collection to the process of breaking down the data into meaningful insights. The research sheds light on key factors such as market growth, current trends and patents, key players in the market, potential applications, and challenges.


1. Problem Identification


The purpose of this market research is to understand the current and future status of the Medical Payment Fraud Detection Market.


2. Research Objective


2.1. To gain insight into factors driving market growth


2.2. To study the competitive landscape


2.3. To estimate the size of the market and key segments


2.4. To identify potential applications and challenges


2.5. To highlight key trends and developments


3. Research Design


The research method involved in this study is a combination of both qualitative and quantitative research. Primary research was conducted in the form of interviews with industry players such as vendors, customers, policymakers and other stakeholders. The questionnaire used for the primary research included questions related to market size, segmentation, competitive environment, growth drivers, trends and challenges. Additionally, secondary research was conducted using data from publicly available sources such as industry reports, white papers, periodicals and other related documents. The data were then analyzed using statistical tools such as Excel and SPSS to identify patterns and draw insights.


4. Data Collection


For this research, both primary and secondary data sources were used. Primary data was gathered through surveys and interviews with industry players such as vendors, customers, policymakers and other stakeholders. The questionnaire used for the primary research included questions related to market size, segmentation, competitive environment, growth drivers, trends and challenges.


In addition, diverse web resources such as press releases, company databases, and government publications were utilized to gather secondary data.


5. Data Analysis


The data collected was analyzed using statistical tools such as Excel and SPSS to identify patterns and draw insights. The data was also analyzed to understand the current market size and structure, trends and drivers, potential applications and challenges.

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Table of Contents

1. EXECUTIVE SUMMARY

1.1. Market Attractiveness Analysis

1.1.1. Global Medical Payment Fraud Detection Market, by Type

1.1.2. Global Medical Payment Fraud Detection Market, by Component

1.1.3. Global Medical Payment Fraud Detection Market, by Delivery Model

1.1.4. Global Medical Payment Fraud Detection Market, by Source of Services

1.1.5. Global Medical Payment Fraud Detection Market, by End User

2. MARKET INTRODUCTION

2.1. Definition

2.2. Scope of the Study

2.2.1. Research Objective

2.2.2. Assumptions

2.2.3. Limitations

3. RESEARCH METHODOLOGY

3.1. Overview

3.2. Data Mining

3.3. Secondary Research

3.4. Primary Research

3.4.1. Breakdown of Primary Respondents

3.5. Forecasting Mode

3.6. Research Methodology for Market Size Estimation

3.6.1. Bottom-Up Approach

3.6.2. Top-Down Approach

3.7. Data Triangulation

3.8. Validation

4. MARKET DYNAMICS

4.1. Overview

4.2. Drivers

4.3. Restraints

4.4. Opportunities

5. MARKET FACTOR ANALYSIS

5.1. Porterโ€™s Five Forces Analysis

5.1.1. Bargaining Power of Suppliers

5.1.2. Bargaining Power of Buyers

5.1.3. Threat of New Entrants

5.1.4. Threat of Substitutes

5.1.5. Intensity of Rivalry

5.2. Value Chain Analysis

5.2.1. R&D and Designing

5.2.2. Manufacturing

5.2.3. Distribution & Sales

5.2.4. Post Sales Type

5.3. Impact of Coronavirus (COVID-19) on Global Medical Payment Fraud Detection Market

5.3.1. Demand-Supply Analysis

5.3.2. Capital Expenditure

5.3.3. Pricing Analysis

5.3.4. Consumption Analysis

5.3.5. Impact on Key Players

5.3.6. Role of Government

6. GLOBAL MEDICAL PAYMENT FRAUD DETECTION MARKET, BY TYPE

6.1. Overview

6.2. Descriptive Analytics

Market Estimates & Forecast, by Region, 2023โ€“2030

Market Estimates & Forecast, by Country, 2023โ€“2030

6.3. Predictive Analytics

Market Estimates & Forecast, by Region, 2023โ€“2030

Market Estimates & Forecast, by Country, 2023โ€“2030

6.4. Prescriptive Analytics

Market Estimates & Forecast, by Region, 2023โ€“2030

Market Estimates & Forecast, by Country, 2023โ€“2030

7. GLOBAL MEDICAL PAYMENT FRAUD DETECTION MARKET, BY COMPONENT

7.1. Overview

7.2. Services

Market Estimates & Forecast, by Region, 2023โ€“2030

Market Estimates & Forecast, by Country, 2023โ€“2030

7.3. Software

Market Estimates & Forecast, by Region, 2023โ€“2030

Market Estimates & Forecast, by Country, 2023โ€“2030

8. GLOBAL MEDICAL PAYMENT FRAUD DETECTION MARKET, BY DELIVERY MODEL

8.1. Overview

8.2. On-Premise

Market Estimates & Forecast, by Region, 2023โ€“2030

Market Estimates & Forecast, by Country, 2023โ€“2030

8.3. Cloud-Based

Market Estimates & Forecast, by Region, 2023โ€“2030

Market Estimates & Forecast, by Country, 2023โ€“2030

9. GLOBAL MEDICAL PAYMENT FRAUD DETECTION MARKET, BY SOURCE OF SERVICES

9.1. Overview

9.2. In-house

Market Estimates & Forecast, by Region, 2023โ€“2030

Market Estimates & Forecast, by Country, 2023โ€“2030

9.3. Outsourced

Market Estimates & Forecast, by Region, 2023โ€“2030

Market Estimates & Forecast, by Country, 2023โ€“2030

10. GLOBAL MEDICAL PAYMENT FRAUD DETECTION MARKET, BY END USER

10.1. Overview

10.2. Private Insurance Payers

Market Estimates & Forecast, by Region, 2023โ€“2030

Market Estimates & Forecast, by Country, 2023โ€“2030

10.3. Public/Government Agencies

Market Estimates & Forecast, by Region, 2023โ€“2030

Market Estimates & Forecast, by Country, 2023โ€“2030

10.4. Third-Party Service Providers

Market Estimates & Forecast, by Region, 2023โ€“2030

Market Estimates & Forecast, by Country, 2023โ€“2030

11. GLOBAL MEDICAL PAYMENT FRAUD DETECTION MARKET, BY REGION

11.1. Overview

11.2. Americas

11.2.1. North America

11.2.1.1. US

11.2.1.2. Canada

11.2.2. Latin America

11.3. Europe

11.3.1. Western Europe

11.3.1.1. Germany

11.3.1.2. France

11.3.1.3. Italy

11.3.1.4. Spain

11.3.1.5. UK

11.3.1.6. Rest of 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. COMPANY LANDSCAPE

12.1. Overview

12.2. Competitor Dashboard

12.3. Major Growth Strategy in the Global Medical Payment Fraud Detection Market

12.4. Competitive Benchmarking

12.5. The Leading Player in terms of Number of Developments in the Global Medical Payment Fraud Detection Market

12.6. Key Developments & Growth Strategies

12.6.1. New Product Launch/Service Deployment

12.6.2. Merger & Acquisition

12.6.3. Joint Ventures

12.7. Major Players Financial Matrix & Market Ratio

12.7.1. Sales & Operating Income 2018

12.7.2. Major Players R&D Expenditure 2018

13. COMPANY PROFILES

13.1. LexisNexis Risk Solutions

13.1.1. Company Overview

13.1.2. Products/Type Offered

13.1.3. Financial Overview

13.1.4. Key Developments

13.1.5. SWOT Analysis

13.1.6. Key Strategies

13.2. International Business Machines Corporation

13.3. Optuminsight

13.4. OSP Labs

13.5. DXC Technology Company

13.6. Unitedhealth Group

13.7. SAS Institute

13.8. Fair Isaac Corporation

13.9. EXL Service Holdings, Inc.

13.10. CGI GROUP

13.11. Others

14. APPENDIX

14.1. References

14.2. Related Reports

NOTE:

This table of content is tentative and subject to change as the research progresses.

๏‚ก ๏‚ก In section 13, only the top companies will be profiled. Each company will be profiled based on the Market Overview, Financials, Product Portfolio, Business Strategies, and Recent Developments parameters.

๏‚ก ๏‚ก Please note: The financial details of the company cannot be provided if the information is not available in the public domain and or from reliable sources.

LIST OF TABLES

TABLE 1 GLOBAL MEDICAL PAYMENT FRAUD DETECTION MARKET SYNOPSIS, 2023โ€“2030

TABLE 2 GLOBAL MEDICAL PAYMENT FRAUD DETECTION MARKET ESTIMATES & FORECAST, 2023โ€“2030 (USD MILLION)

TABLE 3 GLOBAL MEDICAL PAYMENT FRAUD DETECTION MARKET, BY TYPE, 2023โ€“2030 (USD MILLION)

TABLE 4 GLOBAL MEDICAL PAYMENT FRAUD DETECTION MARKET, BY COMPONENT, 2023โ€“2030 (USD MILLION)

TABLE 5 GLOBAL MEDICAL PAYMENT FRAUD DETECTION MARKET, BY DELIVERY MODEL, 2023โ€“2030 (USD MILLION)

TABLE 6 GLOBAL MEDICAL PAYMENT FRAUD DETECTION MARKET, BY SOURCE OF TYPE, 2023โ€“2030 (USD MILLION)

TABLE 7 GLOBAL MEDICAL PAYMENT FRAUD DETECTION MARKET, BY END USER, 2023โ€“2030 (USD MILLION)

TABLE 8 GLOBAL MEDICAL PAYMENT FRAUD DETECTION MARKET, BY REGION, 2023โ€“2030 (USD MILLION)

TABLE 9 NORTH AMERICA: MEDICAL PAYMENT FRAUD DETECTION MARKET, BY TYPE, 2023โ€“2030 (USD MILLION)

TABLE 10 NORTH AMERICA: MEDICAL PAYMENT FRAUD DETECTION MARKET, BY COMPONENT, 2023โ€“2030 (USD MILLION)

TABLE 11 NORTH AMERICA: MEDICAL PAYMENT FRAUD DETECTION MARKET, BY DELIVERY MODEL, 2023โ€“2030 (USD MILLION)

TABLE 12 NORTH AMERICA: MEDICAL PAYMENT FRAUD DETECTION MARKET, BY SOURCE OF TYPE, 2023โ€“2030 (USD MILLION)

TABLE 13 NORTH AMERICA: MEDICAL PAYMENT FRAUD DETECTION MARKET, BY END USER, 2023โ€“2030 (USD MILLION)

TABLE 14 US: MEDICAL PAYMENT FRAUD DETECTION MARKET, BY TYPE, 2023โ€“2030 (USD MILLION)

TABLE 15 US: MEDICAL PAYMENT FRAUD DETECTION MARKET, BY COMPONENT, 2023โ€“2030 (USD MILLION)

TABLE 16 US: MEDICAL PAYMENT FRAUD DETECTION MARKET, BY DELIVERY MODEL, 2023โ€“2030 (USD MILLION)

TABLE 17 US: MEDICAL PAYMENT FRAUD DETECTION MARKET, BY SOURCE OF TYPE, 2023โ€“2030 (USD MILLION)

TABLE 18 US: MEDICAL PAYMENT FRAUD DETECTION MARKET, BY END USER, 2023โ€“2030 (USD MILLION)

TABLE 19 CANADA: MEDICAL PAYMENT FRAUD DETECTION MARKET, BY TYPE, 2023โ€“2030 (USD MILLION)

TABLE 20 CANADA: MEDICAL PAYMENT FRAUD DETECTION MARKET, BY COMPONENT, 2023โ€“2030 (USD MILLION)

TABLE 21 CANADA: MEDICAL PAYMENT FRAUD DETECTION MARKET, BY DELIVERY MODEL, 2023โ€“2030 (USD MILLION)

TABLE 22 CANADA: MEDICAL PAYMENT FRAUD DETECTION MARKET, BY SOURCE OF TYPE, 2023โ€“2030 (USD MILLION)

TABLE 23 CANADA: MEDICAL PAYMENT FRAUD DETECTION MARKET, BY END USER, 2023โ€“2030 (USD MILLION)

TABLE 24 LATIN AMERICA: MEDICAL PAYMENT FRAUD DETECTION MARKET, BY TYPE, 2023โ€“2030 (USD MILLION)

TABLE 25 LATIN AMERICA: MEDICAL PAYMENT FRAUD DETECTION MARKET, BY COMPONENT, 2023โ€“2030 (USD MILLION)

TABLE 26 LATIN AMERICA: MEDICAL PAYMENT FRAUD DETECTION MARKET, BY DELIVERY MODEL, 2023โ€“2030 (USD MILLION)

TABLE 27 LATIN AMERICA: MEDICAL PAYMENT FRAUD DETECTION MARKET, BY SOURCE OF TYPE, 2023โ€“2030 (USD MILLION)

TABLE 28 LATIN AMERICA: MEDICAL PAYMENT FRAUD DETECTION MARKET, BY END USER, 2023โ€“2030 (USD MILLION)

TABLE 29 EUROPE: MEDICAL PAYMENT FRAUD DETECTION MARKET, BY TYPE, 2023โ€“2030 (USD MILLION)

TABLE 30 EUROPE: MEDICAL PAYMENT FRAUD DETECTION MARKET, BY COMPONENT, 2023โ€“2030 (USD MILLION)

TABLE 31 EUROPE: MEDICAL PAYMENT FRAUD DETECTION MARKET, BY DELIVERY MODEL, 2023โ€“2030 (USD MILLION)

TABLE 32 EUROPE: MEDICAL PAYMENT FRAUD DETECTION MARKET, BY SOURCE OF TYPE, 2023โ€“2030 (USD MILLION)

TABLE 33 EUROPE: MEDICAL PAYMENT FRAUD DETECTION MARKET, BY END USER, 2023โ€“2030 (USD MILLION)

TABLE 34

TABLE 35 WESTERN EUROPE: MEDICAL PAYMENT FRAUD DETECTION MARKET, BY TYPE, 2023โ€“2030 (USD MILLION)

TABLE 36 WESTERN EUROPE: MEDICAL PAYMENT FRAUD DETECTION MARKET, BY COMPONENT, 2023โ€“2030 (USD MILLION)

TABLE 37

TABLE 38 WESTERN EUROPE: MEDICAL PAYMENT FRAUD DETECTION MARKET, BY DELIVERY MODEL, 2023โ€“2030 (USD MILLION)

TABLE 39 WESTERN EUROPE: MEDICAL PAYMENT FRAUD DETECTION MARKET, BY SOURCE OF TYPE, 2023โ€“2030 (USD MILLION)

TABLE 40 WESTERN EUROPE: MEDICAL PAYMENT FRAUD DETECTION MARKET, BY END USER, 2023โ€“2030 (USD MILLION)

TABLE 41 EASTERN EUROPE: MEDICAL PAYMENT FRAUD DETECTION MARKET, BY TYPE, 2023โ€“2030 (USD MILLION)

TABLE 42 EASTERN EUROPE: MEDICAL PAYMENT FRAUD DETECTION MARKET, BY COMPONENT, 2023โ€“2030 (USD MILLION)

TABLE 43 EASTERN EUROPE: MEDICAL PAYMENT FRAUD DETECTION MARKET, BY DELIVERY MODEL, 2023โ€“2030 (USD MILLION)

TABLE 44 EASTERN EUROPE: MEDICAL PAYMENT FRAUD DETECTION MARKET, BY SOURCE OF TYPE, 2023โ€“2030 (USD MILLION)

TABLE 45 EASTERN EUROPE: MEDICAL PAYMENT FRAUD DETECTION MARKET, BY END USER, 2023โ€“2030 (USD MILLION)

TABLE 46 ASIA-PACIFIC: MEDICAL PAYMENT FRAUD DETECTION MARKET, BY TYPE, 2023โ€“2030 (USD MILLION)

TABLE 47 ASIA-PACIFIC: MEDICAL PAYMENT FRAUD DETECTION MARKET, BY COMPONENT, 2023โ€“2030 (USD MILLION)

TABLE 48 ASIA-PACIFIC: MEDICAL PAYMENT FRAUD DETECTION MARKET, BY DELIVERY MODEL, 2023โ€“2030 (USD MILLION)

TABLE 49 ASIA-PACIFIC: MEDICAL PAYMENT FRAUD DETECTION MARKET, BY SOURCE OF TYPE, 2023โ€“2030 (USD MILLION)

TABLE 50 ASIA-PACIFIC: MEDICAL PAYMENT FRAUD DETECTION MARKET, BY END USER, 2023โ€“2030 (USD MILLION)

TABLE 51 MIDDLE EAST & AFRICA: MEDICAL PAYMENT FRAUD DETECTION MARKET, BY TYPE, 2023โ€“2030 (USD MILLION)

TABLE 52 MIDDLE EAST & AFRICA: MEDICAL PAYMENT FRAUD DETECTION MARKET, BY COMPONENT, 2023โ€“2030 (USD MILLION)

TABLE 53 MIDDLE EAST & AFRICA: MEDICAL PAYMENT FRAUD DETECTION MARKET, BY DELIVERY MODEL, 2023โ€“2030 (USD MILLION)

TABLE 54 MIDDLE EAST & AFRICA: MEDICAL PAYMENT FRAUD DETECTION MARKET, BY SOURCE OF TYPE, 2023โ€“2030 (USD MILLION)

TABLE 55 MIDDLE EAST & AFRICA: MEDICAL PAYMENT FRAUD DETECTION MARKET, BY END USER, 2023โ€“2030 (USD MILLION)

LIST OF FIGURES

FIGURE 1 RESEARCH PROCESS

FIGURE 2 MARKET STRUCTURE FOR THE GLOBAL MEDICAL PAYMENT FRAUD DETECTION MARKET

FIGURE 3 MARKET DYNAMICS FOR THE GLOBAL MEDICAL PAYMENT FRAUD DETECTION MARKET

FIGURE 4 GLOBAL MEDICAL PAYMENT FRAUD DETECTION MARKET SHARE, BY TYPE, 2018 (%)

FIGURE 5 GLOBAL MEDICAL PAYMENT FRAUD DETECTION MARKET SHARE, BY COMPONENT, 2018 (%)

FIGURE 6 GLOBAL MEDICAL PAYMENT FRAUD DETECTION MARKET SHARE, BY DELIVERY MODEL 2018 (%)

FIGURE 7 GLOBAL MEDICAL PAYMENT FRAUD DETECTION MARKET SHARE, BY SOURCE OF TYPE, 2018 (%)

FIGURE 8 GLOBAL MEDICAL PAYMENT FRAUD DETECTION MARKET SHARE, BY END USER, 2018 (%)

FIGURE 9 GLOBAL MEDICAL PAYMENT FRAUD DETECTION MARKET SHARE, BY REGION, 2018 (%)

FIGURE 10 AMERICAS: MEDICAL PAYMENT FRAUD DETECTION MARKET SHARE BY REGION, 2018 (%)

FIGURE 11 NORTH AMERICA: MEDICAL PAYMENT FRAUD DETECTION MARKET SHARE, BY COUNTRY, 2018 (%)

FIGURE 12 EUROPE: MEDICAL PAYMENT FRAUD DETECTION MARKET SHARE, BY REGION, 2018 (%)

FIGURE 13 WESTERN EUROPE: MEDICAL PAYMENT FRAUD DETECTION MARKET SHARE, BY COUNTRY, 2018 (%)

FIGURE 14 ASIA-PACIFIC: MEDICAL PAYMENT FRAUD DETECTION MARKET SHARE, BY COUNTRY, 2018 (%)

FIGURE 15 MIDDLE EAST & AFRICA: MEDICAL PAYMENT FRAUD DETECTION MARKET SHARE, BY COUNTRY, 2018 (%)

FIGURE 16 GLOBAL MEDICAL PAYMENT FRAUD DETECTION MARKET: COMPANY SHARE ANALYSIS, 2018 (%)

FIGURE 17 LEXISNEXIS RISK SOLUTIONS: KEY FINANCIALS

FIGURE 18 LEXISNEXIS RISK SOLUTIONS: SEGMENTAL REVENUE

FIGURE 19 LEXISNEXIS RISK SOLUTIONS: REGIONAL REVENUE

FIGURE 20 INTERNATIONAL BUSINESS MACHINES CORPORATION: KEY FINANCIALS

FIGURE 21 INTERNATIONAL BUSINESS MACHINES CORPORATION.: SEGMENTAL REVENUE

FIGURE 22 INTERNATIONAL BUSINESS MACHINES CORPORATION: REGIONAL REVENUE

FIGURE 23 OPTUMINSIGHT: KEY FINANCIALS

FIGURE 24 OPTUMINSIGHT: SEGMENTAL REVENUE

FIGURE 25 OPTUMINSIGHT: REGIONAL REVENUE

FIGURE 26 OSP LABS: KEY FINANCIALS

FIGURE 27 OSP LABS: SEGMENTAL REVENUE

FIGURE 28 OSP LABS: REGIONAL REVENUE

FIGURE 29 DXC TECHNOLOGY COMPANY: KEY FINANCIALS

FIGURE 30 DXC TECHNOLOGY COMPANY: SEGMENTAL REVENUE

FIGURE 31 DXC TECHNOLOGY COMPANY: REGIONAL REVENUE

FIGURE 32 UNITEDHEALTH GROUP: KEY FINANCIALS

FIGURE 33 UNITEDHEALTH GROUP: SEGMENTAL REVENUE

FIGURE 34 UNITEDHEALTH GROUP: REGIONAL REVENUE

FIGURE 35 SAS INSTITUTE: KEY FINANCIALS

FIGURE 36 SAS INSTITUTE: SEGMENTAL REVENUE

FIGURE 37 SAS INSTITUTE: REGIONAL REVENUE

FIGURE 38 FAIR ISAAC CORPORATION: KEY FINANCIALS

FIGURE 39 FAIR ISAAC CORPORATION: SEGMENTAL REVENUE

FIGURE 40 FAIR ISAAC CORPORATION: REGIONAL REVENUE

FIGURE 41 EXL SERVICE HOLDINGS, INC.: KEY FINANCIALS

FIGURE 42 EXL SERVICE HOLDINGS, INC.: SEGMENTAL REVENUE

FIGURE 43 EXL SERVICE HOLDINGS, INC.: REGIONAL REVENUE

FIGURE 44 CGI GROUP: KEY FINANCIALS

FIGURE 45 CGI GROUP: SEGMENTAL REVENUE

FIGURE 46 CGI GROUP: REGIONAL REVENUE

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