Report

Global Healthcare Fraud Analytics Market Size study, by Solution Type (Descriptive Analytics, Predictive Analytics, Prescriptive Analytics), by Delivery Model (On-premise, Cloud-based), by Application (Insurance Claims Review, Pharmacy Billing Misuse, Payment Integrity, Other applications), by End User (Public & Government Agencies, Private Insurance Payers, Third-party service providers, Employers), and Regional Forecasts 2021-2027

  • Publish Date: Mar,2022
  • Report ID: QI037
  • Page : 250
  • Report Type : PDF (Email)
Chapter 1. Executive Summary
1.1. Market Snapshot
1.2. Global & Segmental Market Estimates & Forecasts, 2019-2027 (USD Billion)
1.2.1. Healthcare Fraud Analytics Market, by Region, 2019-2027 (USD Billion)
1.2.2. Healthcare Fraud Analytics Market, by Solution Type, 2019-2027 (USD Billion)
1.2.3. Healthcare Fraud Analytics Market, by Delivery Model, 2019-2027 (USD Billion)
1.2.4. Healthcare Fraud Analytics Market, by Application, 2019-2027 (USD Billion)
1.2.5. Healthcare Fraud Analytics Market, by End User, 2019-2027 (USD Billion)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Healthcare Fraud Analytics Market Definition and Scope
2.1. Objective of the Study
2.2. Market Definition & Scope
2.2.1. Scope of the Study
2.2.2. Industry Evolution
2.3. Years Considered for the Study
2.4. Currency Conversion Rates
Chapter 3. Global Healthcare Fraud Analytics Market Dynamics
3.1. Healthcare Fraud Analytics Market Impact Analysis (2019-2027)
3.1.1. Market Drivers
3.1.1.1. Large number of fraudulent activities in healthcare
3.1.1.2. Increased number of patients seeking health insurance
3.1.2. Market Restraint
3.1.2.1. Limitations in the data capturing process in Medicaid services
3.1.3. Market Opportunities
3.1.3.1. Role of AI in healthcare fraud detection
Chapter 4. Global Healthcare Fraud Analytics Market Industry Analysis
4.1. Porter's 5 Force Model
4.1.1. Bargaining Power of Suppliers
4.1.2. Bargaining Power of Buyers
4.1.3. Threat of New Entrants
4.1.4. Threat of Substitutes
4.1.5. Competitive Rivalry
4.1.6. Futuristic Approach to Porter's 5 Force Model (2018-2027)
4.2. PEST Analysis
4.2.1. Political
4.2.2. Economical
4.2.3. Social
4.2.4. Technological
4.3. Investment Adoption Model
4.4. Analyst Recommendation & Conclusion
Chapter 5. Global Healthcare Fraud Analytics Market, by Solution Type
a. Market Snapshot
5.1. Global Healthcare Fraud Analytics Market by Solution Type, Performance - Potential Analysis
5.2. Global Healthcare Fraud Analytics Market Estimates & Forecasts by Solution Type 2018-2027 (USD Billion)
5.3. Healthcare Fraud Analytics Market, Sub Segment Analysis
5.3.1. Descriptive Analytics
5.3.2. Predictive Analytics
5.3.3. Prescriptive Analytics
Chapter 6. Global Healthcare Fraud Analytics Market, by Delivery Model
b. Market Snapshot
6.1. Global Healthcare Fraud Analytics Market by Delivery Model, Performance - Potential Analysis
6.2. Global Healthcare Fraud Analytics Market Estimates & Forecasts by Delivery Model 2018-2027 (USD Billion)
6.3. Healthcare Fraud Analytics Market, Sub Segment Analysis
6.3.1. On-premise
6.3.2. Cloud-based
Chapter 7. Global Healthcare Fraud Analytics Market, by Application
c. Market Snapshot
7.1. Global Healthcare Fraud Analytics Market by Application, Performance - Potential Analysis
7.2. Global Healthcare Fraud Analytics Market Estimates & Forecasts by Application 2018-2027 (USD Billion)
7.3. Healthcare Fraud Analytics Market, Sub Segment Analysis
7.3.1. Insurance Claims Review
7.3.2. Pharmacy Billing Misuse
7.3.3. Payment Integrity
7.3.4. Other applications
Chapter 8. Global Healthcare Fraud Analytics Market, by End User
d. Market Snapshot
8.1. Global Healthcare Fraud Analytics Market by End User, Performance - Potential Analysis
8.2. Global Healthcare Fraud Analytics Market Estimates & Forecasts by End User 2018-2027 (USD Billion)
8.3. Healthcare Fraud Analytics Market, Sub Segment Analysis
8.3.1. Public & Government Agencies
8.3.2. Private Insurance Payers
8.3.3. Third-party service providers
8.3.4. Employers
Chapter 9. Global Healthcare Fraud Analytics Market, Regional Analysis
9.1. Healthcare Fraud Analytics Market, Regional Market Snapshot
9.2. North America Healthcare Fraud Analytics Market
9.2.1. U.S. Healthcare Fraud Analytics Market
9.2.1.1. Solution Type breakdown estimates & forecasts, 2018-2027
9.2.1.2. Delivery Model breakdown estimates & forecasts, 2018-2027
9.2.1.3. Application breakdown estimates & forecasts, 2018-2027
9.2.1.4. End User breakdown estimates & forecasts, 2018-2027
9.2.2. Canada Healthcare Fraud Analytics Market
9.3. Europe Healthcare Fraud Analytics Market Snapshot
9.3.1. U.K. Healthcare Fraud Analytics Market
9.3.2. Germany Healthcare Fraud Analytics Market
9.3.3. France Healthcare Fraud Analytics Market
9.3.4. Spain Healthcare Fraud Analytics Market
9.3.5. Italy Healthcare Fraud Analytics Market
9.3.6. Rest of Europe Healthcare Fraud Analytics Market
9.4. Asia-Pacific Healthcare Fraud Analytics Market Snapshot
9.4.1. China Healthcare Fraud Analytics Market
9.4.2. India Healthcare Fraud Analytics Market
9.4.3. Japan Healthcare Fraud Analytics Market
9.4.4. Australia Healthcare Fraud Analytics Market
9.4.5. South Korea Healthcare Fraud Analytics Market
9.4.6. Rest of Asia Pacific Healthcare Fraud Analytics Market
9.5. Latin America Healthcare Fraud Analytics Market Snapshot
9.5.1. Brazil Healthcare Fraud Analytics Market
9.5.2. Mexico Healthcare Fraud Analytics Market
9.6. Rest of The World Healthcare Fraud Analytics Market
Chapter 10. Competitive Intelligence
10.1. Top Market Strategies
10.2. Company Profiles
10.2.1. International Business Machines Corporation (IBM)
10.2.1.1. Key Information
10.2.1.2. Overview
10.2.1.3. Financial (Subject to Data Availability)
10.2.1.4. Product Summary
10.2.1.5. Recent Developments
10.2.2. Optum, Inc. (Optum)
10.2.3. SAS Institute, Inc. (SAS)
10.2.4. Change Healthcare
10.2.5. EXL Service Holdings, Inc.
10.2.6. Cotiviti
10.2.7. Wipro Limited
10.2.8. Conduent, Inc.
10.2.9. Hindustan Computers Limited Technologies Limited (HCL)
10.2.10. Canadian Global Information Technology Group Inc. (CGI)
Chapter 11. Research Process
11.1. Research Process
11.1.1. Data Mining
11.1.2. Analysis
11.1.3. Market Estimation
11.1.4. Validation
11.1.5. Publishing
11.2. Research Attributes
11.3. Research Assumption