Healthcare Fraud Analytics Market (By Solution Type: Descriptive, Predictive, Prescriptive; By Delivery Model: On-premises, Cloud-based; By Application, By End User) - Global Industry Analysis, Size, Share, Growth, Trends, Revenue, Regional Outlook and Forecast 2022-2030

Chapter 1.  Introduction

1.1.Research Objective

1.2.Scope of the Study

1.3.Definition

Chapter 2.  Research Methodology

2.1.Research Approach

2.2.Data Sources

2.3.Assumptions & Limitations

Chapter 3.  Executive Summary

3.1.Market Snapshot

Chapter 4.  Market Variables and Scope

4.1.Introduction

4.2.Market Classification and Scope

4.3.Industry Value Chain Analysis

4.3.1. Raw Material Procurement Analysis

4.3.2. Sales and Distribution Channel Analysis

4.3.3. Downstream Buyer Analysis

Chapter 5.  COVID 19 Impact on Healthcare Fraud Analytics Market

5.1.COVID-19 Landscape: Healthcare Fraud Analytics Industry Impact

5.2.COVID 19 - Impact Assessment for the Industry

5.3.COVID 19 Impact: Global Major Government Policy

5.4.Market Trends and Opportunities in the COVID-19 Landscape

Chapter 6.  Market Dynamics Analysis and Trends

6.1.Market Dynamics

6.1.1. Market Drivers

6.1.2. Market Restraints

6.1.3. Market Opportunities

6.2.Porter’s Five Forces Analysis

6.2.1. Bargaining power of suppliers

6.2.2. Bargaining power of buyers

6.2.3. Threat of substitute

6.2.4. Threat of new entrants

6.2.5. Degree of competition

Chapter 7.  Competitive Landscape

7.1.1. Company Market Share/Positioning Analysis

7.1.2. Key Strategies Adopted by Players

7.1.3. Vendor Landscape

7.1.3.1.  List of Suppliers

7.1.3.2.  List of Buyers

Chapter 8.  Global Healthcare Fraud Analytics Market, By Solution Type

8.1.Healthcare Fraud Analytics Market, by Solution Type, 2022-2030

8.1.1. Descriptive Analytics

8.1.1.1.  Market Revenue and Forecast (2017-2030)

8.1.2. Prescriptive Analytics

8.1.2.1.  Market Revenue and Forecast (2017-2030)

8.1.3. Predictive Analytics

8.1.3.1.  Market Revenue and Forecast (2017-2030)

Chapter 9.  Global Healthcare Fraud Analytics Market, By Delivery Model

9.1.Healthcare Fraud Analytics Market, by Delivery Model, 2022-2030

9.1.1. On-premises

9.1.1.1.  Market Revenue and Forecast (2017-2030)

9.1.2. Cloud-based

9.1.2.1.  Market Revenue and Forecast (2017-2030)

Chapter 10.Global Healthcare Fraud Analytics Market, By Application Type

10.1.Healthcare Fraud Analytics Market, by Application Type, 2022-2030

10.1.1.Insurance Claim Review

10.1.1.1.Market Revenue and Forecast (2017-2030)

10.1.2.Pharmacy billing Issue

10.1.2.1.Market Revenue and Forecast (2017-2030)

10.1.3.Payment Integrity

10.1.3.1.Market Revenue and Forecast (2017-2030)

10.1.4.Others

10.1.4.1.Market Revenue and Forecast (2017-2030)

Chapter 11.Global Healthcare Fraud Analytics Market, By End User

11.1.Healthcare Fraud Analytics Market, by End User, 2022-2030

11.1.1.Public & Government Agencies

11.1.1.1.Market Revenue and Forecast (2017-2030)

11.1.2.Private Insurance Payers

11.1.2.1.Market Revenue and Forecast (2017-2030)

11.1.3.Third-party Service Providers

11.1.3.1.Market Revenue and Forecast (2017-2030)

11.1.4.Employers

11.1.4.1.Market Revenue and Forecast (2017-2030)

Chapter 12.Global Healthcare Fraud Analytics Market, Regional Estimates and Trend Forecast

12.1.North America

12.1.1.Market Revenue and Forecast, by Solution Type (2017-2030)

12.1.2.Market Revenue and Forecast, by Delivery Model (2017-2030)

12.1.3.Market Revenue and Forecast, by Application Type (2017-2030)

12.1.4.Market Revenue and Forecast, by End User (2017-2030)

12.1.5.U.S.

12.1.5.1.Market Revenue and Forecast, by Solution Type (2017-2030)

12.1.5.2.Market Revenue and Forecast, by Delivery Model (2017-2030)

12.1.5.3.Market Revenue and Forecast, by Application Type (2017-2030)

12.1.5.4.Market Revenue and Forecast, by End User (2017-2030)

12.1.6.Rest of North America

12.1.6.1.Market Revenue and Forecast, by Solution Type (2017-2030)

12.1.6.2.Market Revenue and Forecast, by Delivery Model (2017-2030)

12.1.6.3.Market Revenue and Forecast, by Application Type (2017-2030)

12.1.6.4.Market Revenue and Forecast, by End User (2017-2030)

12.2.Europe

12.2.1.Market Revenue and Forecast, by Solution Type (2017-2030)

12.2.2.Market Revenue and Forecast, by Delivery Model (2017-2030)

12.2.3.Market Revenue and Forecast, by Application Type (2017-2030)

12.2.4.Market Revenue and Forecast, by End User (2017-2030)

12.2.5.UK

12.2.5.1.Market Revenue and Forecast, by Solution Type (2017-2030)

12.2.5.2.Market Revenue and Forecast, by Delivery Model (2017-2030)

12.2.5.3.Market Revenue and Forecast, by Application Type (2017-2030)

12.2.5.4.Market Revenue and Forecast, by End User (2017-2030)

12.2.6.Germany

12.2.6.1.Market Revenue and Forecast, by Solution Type (2017-2030)

12.2.6.2.Market Revenue and Forecast, by Delivery Model (2017-2030)

12.2.6.3.Market Revenue and Forecast, by Application Type (2017-2030)

12.2.6.4.Market Revenue and Forecast, by End User (2017-2030)

12.2.7.France

12.2.7.1.Market Revenue and Forecast, by Solution Type (2017-2030)

12.2.7.2.Market Revenue and Forecast, by Delivery Model (2017-2030)

12.2.7.3.Market Revenue and Forecast, by Application Type (2017-2030)

12.2.7.4.Market Revenue and Forecast, by End User (2017-2030)

12.2.8.Rest of Europe

12.2.8.1.Market Revenue and Forecast, by Solution Type (2017-2030)

12.2.8.2.Market Revenue and Forecast, by Delivery Model (2017-2030)

12.2.8.3.Market Revenue and Forecast, by Application Type (2017-2030)

12.2.8.4.Market Revenue and Forecast, by End User (2017-2030)

12.3.APAC

12.3.1.Market Revenue and Forecast, by Solution Type (2017-2030)

12.3.2.Market Revenue and Forecast, by Delivery Model (2017-2030)

12.3.3.Market Revenue and Forecast, by Application Type (2017-2030)

12.3.4.Market Revenue and Forecast, by End User (2017-2030)

12.3.5.India

12.3.5.1.Market Revenue and Forecast, by Solution Type (2017-2030)

12.3.5.2.Market Revenue and Forecast, by Delivery Model (2017-2030)

12.3.5.3.Market Revenue and Forecast, by Application Type (2017-2030)

12.3.5.4.Market Revenue and Forecast, by End User (2017-2030)

12.3.6.China

12.3.6.1.Market Revenue and Forecast, by Solution Type (2017-2030)

12.3.6.2.Market Revenue and Forecast, by Delivery Model (2017-2030)

12.3.6.3.Market Revenue and Forecast, by Application Type (2017-2030)

12.3.6.4.Market Revenue and Forecast, by End User (2017-2030)

12.3.7.Japan

12.3.7.1.Market Revenue and Forecast, by Solution Type (2017-2030)

12.3.7.2.Market Revenue and Forecast, by Delivery Model (2017-2030)

12.3.7.3.Market Revenue and Forecast, by Application Type (2017-2030)

12.3.7.4.Market Revenue and Forecast, by End User (2017-2030)

12.3.8.Rest of APAC

12.3.8.1.Market Revenue and Forecast, by Solution Type (2017-2030)

12.3.8.2.Market Revenue and Forecast, by Delivery Model (2017-2030)

12.3.8.3.Market Revenue and Forecast, by Application Type (2017-2030)

12.3.8.4.Market Revenue and Forecast, by End User (2017-2030)

12.4.MEA

12.4.1.Market Revenue and Forecast, by Solution Type (2017-2030)

12.4.2.Market Revenue and Forecast, by Delivery Model (2017-2030)

12.4.3.Market Revenue and Forecast, by Application Type (2017-2030)

12.4.4.Market Revenue and Forecast, by End User (2017-2030)

12.4.5.GCC

12.4.5.1.Market Revenue and Forecast, by Solution Type (2017-2030)

12.4.5.2.Market Revenue and Forecast, by Delivery Model (2017-2030)

12.4.5.3.Market Revenue and Forecast, by Application Type (2017-2030)

12.4.5.4.Market Revenue and Forecast, by End User (2017-2030)

12.4.6.North Africa

12.4.6.1.Market Revenue and Forecast, by Solution Type (2017-2030)

12.4.6.2.Market Revenue and Forecast, by Delivery Model (2017-2030)

12.4.6.3.Market Revenue and Forecast, by Application Type (2017-2030)

12.4.6.4.Market Revenue and Forecast, by End User (2017-2030)

12.4.7.South Africa

12.4.7.1.Market Revenue and Forecast, by Solution Type (2017-2030)

12.4.7.2.Market Revenue and Forecast, by Delivery Model (2017-2030)

12.4.7.3.Market Revenue and Forecast, by Application Type (2017-2030)

12.4.7.4.Market Revenue and Forecast, by End User (2017-2030)

12.4.8.Rest of MEA

12.4.8.1.Market Revenue and Forecast, by Solution Type (2017-2030)

12.4.8.2.Market Revenue and Forecast, by Delivery Model (2017-2030)

12.4.8.3.Market Revenue and Forecast, by Application Type (2017-2030)

12.4.8.4.Market Revenue and Forecast, by End User (2017-2030)

12.5.Latin America

12.5.1.Market Revenue and Forecast, by Solution Type (2017-2030)

12.5.2.Market Revenue and Forecast, by Delivery Model (2017-2030)

12.5.3.Market Revenue and Forecast, by Application Type (2017-2030)

12.5.4.Market Revenue and Forecast, by End User (2017-2030)

12.5.5.Brazil

12.5.5.1.Market Revenue and Forecast, by Solution Type (2017-2030)

12.5.5.2.Market Revenue and Forecast, by Delivery Model (2017-2030)

12.5.5.3.Market Revenue and Forecast, by Application Type (2017-2030)

12.5.5.4.Market Revenue and Forecast, by End User (2017-2030)

12.5.6.Rest of LATAM

12.5.6.1.Market Revenue and Forecast, by Solution Type (2017-2030)

12.5.6.2.Market Revenue and Forecast, by Delivery Model (2017-2030)

12.5.6.3.Market Revenue and Forecast, by Application Type (2017-2030)

12.5.6.4.Market Revenue and Forecast, by End User (2017-2030)

Chapter 13.Company Profiles

13.1.IBM

13.1.1.Company Overview

13.1.2.Product Offerings

13.1.3.Financial Performance

13.1.4.Recent Initiatives

13.2.Optum, Inc.

13.2.1.Company Overview

13.2.2.Product Offerings

13.2.3.Financial Performance

13.2.4.Recent Initiatives

13.3.Cotiviti, Inc

13.3.1.Company Overview

13.3.2.Product Offerings

13.3.3.Financial Performance

13.3.4.Recent Initiatives

13.4.DXC Technology

13.4.1.Company Overview

13.4.2.Product Offerings

13.4.3.Financial Performance

13.4.4.Recent Initiatives

13.5.SAS Institute, Inc.

13.5.1.Company Overview

13.5.2.Product Offerings

13.5.3.Financial Performance

13.5.4.Recent Initiatives

13.6.EXL Service Holdings, Inc.

13.6.1.Company Overview

13.6.2.Product Offerings

13.6.3.Financial Performance

13.6.4.Recent Initiatives

13.7.Wipro Limited

13.7.1.Company Overview

13.7.2.Product Offerings

13.7.3.Financial Performance

13.7.4.Recent Initiatives

13.8.Conduent, Inc

13.8.1.Company Overview

13.8.2.Product Offerings

13.8.3.Financial Performance

13.8.4.Recent Initiatives

13.9.HCL Technologies Limited

13.9.1.Company Overview

13.9.2.Product Offerings

13.9.3.Financial Performance

13.9.4.Recent Initiatives

13.10.OSP Labs

13.10.1. Company Overview

13.10.2. Product Offerings

13.10.3. Financial Performance

13.10.4. Recent Initiatives

Chapter 14.Research Methodology

14.1.Primary Research

14.2.Secondary Research

14.3.Assumptions

Chapter 15.Appendix

15.1.About Us

15.2.Glossary of Terms