
Healthcare Fraud Detection Market by Solution Type (Descriptive Analytics, Predictive Analytics, Prescriptive Analytics), Delivery Mode (On-Cloud, On-Premise), Application, End User - Global Forecast 2024-2030
Description
Healthcare Fraud Detection Market by Solution Type (Descriptive Analytics, Predictive Analytics, Prescriptive Analytics), Delivery Mode (On-Cloud, On-Premise), Application, End User - Global Forecast 2024-2030
The Healthcare Fraud Detection Market size was estimated at USD 1.91 billion in 2023 and expected to reach USD 2.22 billion in 2024, at a CAGR 20.17% to reach USD 6.91 billion by 2030.
FPNV Positioning Matrix
The FPNV Positioning Matrix is pivotal in evaluating the Healthcare Fraud Detection Market. It offers a comprehensive assessment of vendors, examining key metrics related to Business Strategy and Product Satisfaction. This in-depth analysis empowers users to make well-informed decisions aligned with their requirements. Based on the evaluation, the vendors are then categorized into four distinct quadrants representing varying levels of success: Forefront (F), Pathfinder (P), Niche (N), or Vital (V).
Market Share Analysis
The Market Share Analysis is a comprehensive tool that provides an insightful and in-depth examination of the current state of vendors in the Healthcare Fraud Detection Market. By meticulously comparing and analyzing vendor contributions in terms of overall revenue, customer base, and other key metrics, we can offer companies a greater understanding of their performance and the challenges they face when competing for market share. Additionally, this analysis provides valuable insights into the competitive nature of the sector, including factors such as accumulation, fragmentation dominance, and amalgamation traits observed over the base year period studied. With this expanded level of detail, vendors can make more informed decisions and devise effective strategies to gain a competitive edge in the market.
Key Company Profiles
The report delves into recent significant developments in the Healthcare Fraud Detection Market, highlighting leading vendors and their innovative profiles. These include CGI Inc., Change Healthcare, Conduent Inc., Cotiviti Inc., DXC Technology Company, ExlService Holdings Inc., Fair Isaac Corporation, FraudLens Inc., H20.ai, HCL Technologies Limited, International Business Machines Corporation, Northrop Grumman Corporation, Optum Inc., OSP Labs, SAS Institute Inc., and Wipro Ltd..
Market Segmentation & Coverage
This research report categorizes the Healthcare Fraud Detection Market to forecast the revenues and analyze trends in each of the following sub-markets:
Solution Type
Descriptive Analytics
Predictive Analytics
Prescriptive Analytics
Delivery Mode
On-Cloud
On-Premise
Application
Insurance Claims Review
Payment Integrity
End User
Government Agencies
Healthcare Payer
Region
Americas
Argentina
Brazil
Canada
Mexico
United States
California
Florida
Illinois
New York
Ohio
Pennsylvania
Texas
Asia-Pacific
Australia
China
India
Indonesia
Japan
Malaysia
Philippines
Singapore
South Korea
Taiwan
Thailand
Vietnam
Europe, Middle East & Africa
Denmark
Egypt
Finland
France
Germany
Israel
Italy
Netherlands
Nigeria
Norway
Poland
Qatar
Russia
Saudi Arabia
South Africa
Spain
Sweden
Switzerland
Turkey
United Arab Emirates
United Kingdom
The report offers valuable insights on the following aspects:
1. Market Penetration: It presents comprehensive information on the market provided by key players.
2. Market Development: It delves deep into lucrative emerging markets and analyzes the penetration across mature market segments.
3. Market Diversification: It provides detailed information on new product launches, untapped geographic regions, recent developments, and investments.
4. Competitive Assessment & Intelligence: It conducts an exhaustive assessment of market shares, strategies, products, certifications, regulatory approvals, patent landscape, and manufacturing capabilities of the leading players.
5. Product Development & Innovation: It offers intelligent insights on future technologies, R&D activities, and breakthrough product developments.
The report addresses key questions such as:
1. What is the market size and forecast of the Healthcare Fraud Detection Market?
2. Which products, segments, applications, and areas should one consider investing in over the forecast period in the Healthcare Fraud Detection Market?
3. What are the technology trends and regulatory frameworks in the Healthcare Fraud Detection Market?
4. What is the market share of the leading vendors in the Healthcare Fraud Detection Market?
5. Which modes and strategic moves are suitable for entering the Healthcare Fraud Detection Market?
Note: PDF & Excel + Online Access - 1 Year
Table of Contents
190 Pages
- 1. Preface
- 1.1. Objectives of the Study
- 1.2. Market Segmentation & Coverage
- 1.3. Years Considered for the Study
- 1.4. Currency & Pricing
- 1.5. Language
- 1.6. Limitations
- 1.7. Assumptions
- 1.8. Stakeholders
- 2. Research Methodology
- 2.1. Define: Research Objective
- 2.2. Determine: Research Design
- 2.3. Prepare: Research Instrument
- 2.4. Collect: Data Source
- 2.5. Analyze: Data Interpretation
- 2.6. Formulate: Data Verification
- 2.7. Publish: Research Report
- 2.8. Repeat: Report Update
- 3. Executive Summary
- 4. Market Overview
- 4.1. Introduction
- 4.2. Healthcare Fraud Detection Market, by Region
- 5. Market Insights
- 5.1. Market Dynamics
- 5.1.1. Drivers
- 5.1.1.1. Increase in number of patients seeking health insurance
- 5.1.1.2. Rising adoption of cloud-based analytical solutions coupled with increase in fraudulent events in healthcare industry
- 5.1.1.3. Growing need for solutions that have biometric sensors to identify frauds
- 5.1.2. Restraints
- 5.1.2.1. Limitations in data capturing process and dearth of skilled professionals
- 5.1.3. Opportunities
- 5.1.3.1. Introduction of advanced softwares integrated with artificial intelligence and machine learning
- 5.1.3.2. Rise in number of healthcare BPO and fraud identity management software
- 5.1.4. Challenges
- 5.1.4.1. Need for frequent upgradation
- 5.2. Market Segmentation Analysis
- 5.3. Market Trend Analysis
- 5.4. Cumulative Impact of High Inflation
- 5.5. Porter’s Five Forces Analysis
- 5.5.1. Threat of New Entrants
- 5.5.2. Threat of Substitutes
- 5.5.3. Bargaining Power of Customers
- 5.5.4. Bargaining Power of Suppliers
- 5.5.5. Industry Rivalry
- 5.6. Value Chain & Critical Path Analysis
- 5.7. Regulatory Framework
- 6. Healthcare Fraud Detection Market, by Solution Type
- 6.1. Introduction
- 6.2. Descriptive Analytics
- 6.3. Predictive Analytics
- 6.4. Prescriptive Analytics
- 7. Healthcare Fraud Detection Market, by Delivery Mode
- 7.1. Introduction
- 7.2. On-Cloud
- 7.3. On-Premise
- 8. Healthcare Fraud Detection Market, by Application
- 8.1. Introduction
- 8.2. Insurance Claims Review
- 8.3. Payment Integrity
- 9. Healthcare Fraud Detection Market, by End User
- 9.1. Introduction
- 9.2. Government Agencies
- 9.3. Healthcare Payer
- 10. Americas Healthcare Fraud Detection Market
- 10.1. Introduction
- 10.2. Argentina
- 10.3. Brazil
- 10.4. Canada
- 10.5. Mexico
- 10.6. United States
- 11. Asia-Pacific Healthcare Fraud Detection Market
- 11.1. Introduction
- 11.2. Australia
- 11.3. China
- 11.4. India
- 11.5. Indonesia
- 11.6. Japan
- 11.7. Malaysia
- 11.8. Philippines
- 11.9. Singapore
- 11.10. South Korea
- 11.11. Taiwan
- 11.12. Thailand
- 11.13. Vietnam
- 12. Europe, Middle East & Africa Healthcare Fraud Detection Market
- 12.1. Introduction
- 12.2. Denmark
- 12.3. Egypt
- 12.4. Finland
- 12.5. France
- 12.6. Germany
- 12.7. Israel
- 12.8. Italy
- 12.9. Netherlands
- 12.10. Nigeria
- 12.11. Norway
- 12.12. Poland
- 12.13. Qatar
- 12.14. Russia
- 12.15. Saudi Arabia
- 12.16. South Africa
- 12.17. Spain
- 12.18. Sweden
- 12.19. Switzerland
- 12.20. Turkey
- 12.21. United Arab Emirates
- 12.22. United Kingdom
- 13. Competitive Landscape
- 13.1. FPNV Positioning Matrix
- 13.2. Market Share Analysis, By Key Player
- 13.3. Competitive Scenario Analysis, By Key Player
- 14. Competitive Portfolio
- 14.1. Key Company Profiles
- 14.1.1. CGI Inc.
- 14.1.2. Change Healthcare
- 14.1.3. Conduent Inc.
- 14.1.4. Cotiviti Inc.
- 14.1.5. DXC Technology Company
- 14.1.6. ExlService Holdings Inc.
- 14.1.7. Fair Isaac Corporation
- 14.1.8. FraudLens Inc.
- 14.1.9. H20.ai
- 14.1.10. HCL Technologies Limited
- 14.1.11. International Business Machines Corporation
- 14.1.12. Northrop Grumman Corporation
- 14.1.13. Optum Inc.
- 14.1.14. OSP Labs
- 14.1.15. SAS Institute Inc.
- 14.1.16. Wipro Ltd.
- 14.2. Key Product Portfolio
- 15. Appendix
- 15.1. Discussion Guide
- 15.2. License & Pricing
- FIGURE 1. HEALTHCARE FRAUD DETECTION MARKET RESEARCH PROCESS
- FIGURE 2. HEALTHCARE FRAUD DETECTION MARKET SIZE, 2023 VS 2030
- FIGURE 3. HEALTHCARE FRAUD DETECTION MARKET SIZE, 2018-2030 (USD MILLION)
- FIGURE 4. HEALTHCARE FRAUD DETECTION MARKET SIZE, BY REGION, 2023 VS 2030 (%)
- FIGURE 5. HEALTHCARE FRAUD DETECTION MARKET SIZE, BY REGION, 2023 VS 2024 VS 2030 (USD MILLION)
- FIGURE 6. HEALTHCARE FRAUD DETECTION MARKET DYNAMICS
- FIGURE 7. HEALTHCARE FRAUD DETECTION MARKET SIZE, BY SOLUTION TYPE, 2023 VS 2030 (%)
- FIGURE 8. HEALTHCARE FRAUD DETECTION MARKET SIZE, BY SOLUTION TYPE, 2023 VS 2024 VS 2030 (USD MILLION)
- FIGURE 9. HEALTHCARE FRAUD DETECTION MARKET SIZE, BY DELIVERY MODE, 2023 VS 2030 (%)
- FIGURE 10. HEALTHCARE FRAUD DETECTION MARKET SIZE, BY DELIVERY MODE, 2023 VS 2024 VS 2030 (USD MILLION)
- FIGURE 11. HEALTHCARE FRAUD DETECTION MARKET SIZE, BY APPLICATION, 2023 VS 2030 (%)
- FIGURE 12. HEALTHCARE FRAUD DETECTION MARKET SIZE, BY APPLICATION, 2023 VS 2024 VS 2030 (USD MILLION)
- FIGURE 13. HEALTHCARE FRAUD DETECTION MARKET SIZE, BY END USER, 2023 VS 2030 (%)
- FIGURE 14. HEALTHCARE FRAUD DETECTION MARKET SIZE, BY END USER, 2023 VS 2024 VS 2030 (USD MILLION)
- FIGURE 15. AMERICAS HEALTHCARE FRAUD DETECTION MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
- FIGURE 16. AMERICAS HEALTHCARE FRAUD DETECTION MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
- FIGURE 17. UNITED STATES HEALTHCARE FRAUD DETECTION MARKET SIZE, BY STATE, 2023 VS 2030 (%)
- FIGURE 18. UNITED STATES HEALTHCARE FRAUD DETECTION MARKET SIZE, BY STATE, 2023 VS 2024 VS 2030 (USD MILLION)
- FIGURE 19. ASIA-PACIFIC HEALTHCARE FRAUD DETECTION MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
- FIGURE 20. ASIA-PACIFIC HEALTHCARE FRAUD DETECTION MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
- FIGURE 21. EUROPE, MIDDLE EAST & AFRICA HEALTHCARE FRAUD DETECTION MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
- FIGURE 22. EUROPE, MIDDLE EAST & AFRICA HEALTHCARE FRAUD DETECTION MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
- FIGURE 23. HEALTHCARE FRAUD DETECTION MARKET, FPNV POSITIONING MATRIX, 2023
- FIGURE 24. HEALTHCARE FRAUD DETECTION MARKET SHARE, BY KEY PLAYER, 2023
Pricing
Currency Rates
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