Healthcare Fraud Analytics Market by Solution Type (Descriptive Analytics, Predictive Analytics, Prescriptive Analytics), Delivery Model (On-Demand, On-Premise), Application, End-User - Global Forecast 2024-2030

Healthcare Fraud Analytics Market by Solution Type (Descriptive Analytics, Predictive Analytics, Prescriptive Analytics), Delivery Model (On-Demand, On-Premise), Application, End-User - Global Forecast 2024-2030


The Healthcare Fraud Analytics Market size was estimated at USD 6.92 billion in 2023 and expected to reach USD 8.18 billion in 2024, at a CAGR 19.61% to reach USD 24.27 billion by 2030.The healthcare sector is facing an unprecedented surge in fraudulent activities with increasing numbers of errors in claim submission forms and repetition of claims. Thus, the healthcare sector widely adopts healthcare fraud analytics to track financial fraud efficiently. The increasing numbers of healthcare frauds and rising concerns regarding health insurance have proliferated the need for healthcare fraud analytics solutions. According to the U.S. Sentencing Commission, in the fiscal year 2021, around 57287 healthcare frauds were reported in the United States. Recently, machine learning and data mining techniques have been used for automatically detecting healthcare frauds by quickly analyzing large amounts of data in real-time to detect suspicious activity faster than manual methods. Moreover, the emergence of Business Process Outsourcing (BPO), and fraud identity management software are expected to create growth opportunities for the healthcare fraud analytics market.Regional InsightsAmericas represents a highly developing and innovative landscape for the global healthcare fraud analytics market characterized by increasing healthcare spending, rising healthcare IT adoption, and the growing number of fraud cases in the healthcare industry. According to the National Healthcare Anti-Fraud Association, payers spend nearly USD 68 billion yearly due to the increasing healthcare fraud in the U.S. According to National Health Care Anti-Fraud Association (NHCAA), the United States spends over USD 2.27 trillion on healthcare every year, and NHCAA estimates that tens of billions of dollars from the total amount are being spent over healthcare fraud. Thus, owing to the availability of numerous advanced services and solutions related to healthcare fraud detection, and strategic steps taken by major players present in the country, it is expected to drive the growth of the studied market in the American region during the projection period. Additionally, in June 2021, Artivatic launched the ALFRED-AI HEALTH CLAIMS platform for automating end-to-end health claims, and its fraud and abuse detection capacity is 30% or more. Thus, owing to the availability of numerous advanced services and solutions related to healthcare fraud detection and strategic steps taken by major players in the country, the market for healthcare fraud detection is expected to bolster within the North American region. Asia Pacific region is witnessing the fastest growth rate, owing to the increasing adoption of technologically advanced solutions and rising government spending on healthcare infrastructure.

FPNV Positioning Matrix

The FPNV Positioning Matrix is pivotal in evaluating the Healthcare Fraud Analytics 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 Analytics 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 Analytics Market, highlighting leading vendors and their innovative profiles. These include Atos SE, CGI Inc., Change Healthcare Inc., Claroty Ltd., Codoxo, Inc., Conduent, Inc., Coviti, Inc., DXC Technology Company, ExlService Holdings, Inc., Fair Isaac Corporation, Fortified Health Security, FraudLens Inc., FRISS, H2O.ai, Inc., HCL Technologies Ltd., Healthcare fraud Shield, Hewlett Packard Enterprise Development LP, Imperva, Inc., Intel Corporation, International Business Machines Corporation, LexisNexis Risk Solutions Group, Mckesson Corporation, Multuplan Corporaton, Northrop Grumman Corporation, OneSpan Inc., OSP Labs, Pondera Solutions, Qlarant Inc., RELX Group Plc, SAS Institute Inc., Sharecare, Inc., United Health Group Incorporated, and Wipro Limited.

Market Segmentation & Coverage



This research report categorizes the Healthcare Fraud Analytics Market to forecast the revenues and analyze trends in each of the following sub-markets:

Solution Type
Descriptive Analytics
Predictive Analytics
Prescriptive Analytics
Delivery Model
On-Demand
On-Premise
Application
Insurance Claims Review
Post payment Review

Prepayment Review
Payment Integrity
Pharmacy Billing Misuse
End-User
Employers
Private Insurance Payers
Public & Government Agencies
Third-party service providers
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 Analytics Market?
2. Which products, segments, applications, and areas should one consider investing in over the forecast period in the Healthcare Fraud Analytics Market?
3. What are the technology trends and regulatory frameworks in the Healthcare Fraud Analytics Market?
4. What is the market share of the leading vendors in the Healthcare Fraud Analytics Market?
5. Which modes and strategic moves are suitable for entering the Healthcare Fraud Analytics Market?

Note: PDF & Excel + Online Access - 1 Year


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 Analytics Market, by Region
5. Market Insights
5.1. Market Dynamics
5.1.1. Drivers
5.1.1.1. Increasing number of fraudulent activities in the healthcare sector
5.1.1.2. Growing adoption of health insurance plans across the globe
5.1.1.3. Rising need to track fraud & abuse efficiently in healthcare domain
5.1.2. Restraints
5.1.2.1. High cost associated with healthcare fraud analytics services
5.1.3. Opportunities
5.1.3.1. Introduction of healthcare BPO and fraud identity management software
5.1.3.2. Integration of advanced analytics, artificial intelligence (AI) and, machine learning (ML) in healthcare fraud analytics software
5.1.4. Challenges
5.1.4.1. Limitations pertaining to the use of healthcare fraud analytics software and services
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 Analytics Market, by Solution Type
6.1. Introduction
6.2. Descriptive Analytics
6.3. Predictive Analytics
6.4. Prescriptive Analytics
7. Healthcare Fraud Analytics Market, by Delivery Model
7.1. Introduction
7.2. On-Demand
7.3. On-Premise
8. Healthcare Fraud Analytics Market, by Application
8.1. Introduction
8.2. Insurance Claims Review
8.3.1. Post payment Review
8.3.2. Prepayment Review
8.3. Payment Integrity
8.4. Pharmacy Billing Misuse
9. Healthcare Fraud Analytics Market, by End-User
9.1. Introduction
9.2. Employers
9.3. Private Insurance Payers
9.4. Public & Government Agencies
9.5. Third-party service providers
10. Americas Healthcare Fraud Analytics 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 Analytics 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 Analytics 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
13.3.1. Merger & Acquisition
13.3.1.1. ACKO Acquires Digital Health Platform Parentlane To Expand Beyond Core Insurance Offerings
13.3.1.2. Amazon completes $3.9B acquisition of One Medical
13.3.2. Agreement, Collaboration, & Partnership
13.3.2.1. Huize Announces Strategic Partnership with Ping An Health Insurance and the Joint Launch of “Chang Xiang An” – A Customized Long-term Medical Insurance Product
13.3.2.2. Paul Merchants partners with Care Health Insurance
13.3.2.3. Reliance General Insurance partners with Paytm to offer customisable health policy
13.3.3. New Product Launch & Enhancement
13.3.3.1. SBI General Insurance launches new health insurance vertical
13.3.4. Investment & Funding
13.3.4.1. Health insurance startup ClaimBuddy raises $3 million in funding
13.3.5. Award, Recognition, & Expansion
13.3.5.1. Healthcos Are Accumulating Patents Aggressively In Electronic Records And Personalized Medicine
13.3.5.2. AI-Powered Dental Insurance Fraud, Waste and Abuse Detection AI System
14. Competitive Portfolio
14.1. Key Company Profiles
14.1.1. Atos SE
14.1.2. CGI Inc.
14.1.3. Change Healthcare Inc.
14.1.4. Claroty Ltd.
14.1.5. Codoxo, Inc.
14.1.6. Conduent, Inc.
14.1.7. Coviti, Inc.
14.1.8. DXC Technology Company
14.1.9. ExlService Holdings, Inc.
14.1.10. Fair Isaac Corporation
14.1.11. Fortified Health Security
14.1.12. FraudLens Inc.
14.1.13. FRISS
14.1.14. H2O.ai, Inc.
14.1.15. HCL Technologies Ltd.
14.1.16. Healthcare fraud Shield
14.1.17. Hewlett Packard Enterprise Development LP
14.1.18. Imperva, Inc.
14.1.19. Intel Corporation
14.1.20. International Business Machines Corporation
14.1.21. LexisNexis Risk Solutions Group
14.1.22. Mckesson Corporation
14.1.23. Multuplan Corporaton
14.1.24. Northrop Grumman Corporation
14.1.25. OneSpan Inc.
14.1.26. OSP Labs
14.1.27. Pondera Solutions
14.1.28. Qlarant Inc.
14.1.29. RELX Group Plc
14.1.30. SAS Institute Inc.
14.1.31. Sharecare, Inc.
14.1.32. United Health Group Incorporated
14.1.33. Wipro Limited
14.2. Key Product Portfolio
15. Appendix
15.1. Discussion Guide
15.2. License & Pricing
FIGURE 1. HEALTHCARE FRAUD ANALYTICS MARKET RESEARCH PROCESS
FIGURE 2. HEALTHCARE FRAUD ANALYTICS MARKET SIZE, 2023 VS 2030
FIGURE 3. HEALTHCARE FRAUD ANALYTICS MARKET SIZE, 2018-2030 (USD MILLION)
FIGURE 4. HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY REGION, 2023 VS 2030 (%)
FIGURE 5. HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY REGION, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 6. HEALTHCARE FRAUD ANALYTICS MARKET DYNAMICS
FIGURE 7. HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY SOLUTION TYPE, 2023 VS 2030 (%)
FIGURE 8. HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY SOLUTION TYPE, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 9. HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY DELIVERY MODEL, 2023 VS 2030 (%)
FIGURE 10. HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY DELIVERY MODEL, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 11. HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY APPLICATION, 2023 VS 2030 (%)
FIGURE 12. HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY APPLICATION, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 13. HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY END-USER, 2023 VS 2030 (%)
FIGURE 14. HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY END-USER, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 15. AMERICAS HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
FIGURE 16. AMERICAS HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 17. UNITED STATES HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY STATE, 2023 VS 2030 (%)
FIGURE 18. UNITED STATES HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY STATE, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 19. ASIA-PACIFIC HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
FIGURE 20. ASIA-PACIFIC HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 21. EUROPE, MIDDLE EAST & AFRICA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
FIGURE 22. EUROPE, MIDDLE EAST & AFRICA HEALTHCARE FRAUD ANALYTICS MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 23. HEALTHCARE FRAUD ANALYTICS MARKET, FPNV POSITIONING MATRIX, 2023
FIGURE 24. HEALTHCARE FRAUD ANALYTICS MARKET SHARE, BY KEY PLAYER, 2023

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