Healthcare Fraud Detection Market 2027 by Delivery Model, Component, Type, Application, End-User and Geography | The Insight Partners

Healthcare Fraud Detection Market Forecast to 2027 - Covid-19 Impact and Global Analysis - By Delivery Model (On-Premise Delivery Models, On-Demand Delivery Models); Component (Services, Software); Type (Predictive Analytics, Prescriptive Analytics, Descriptive Analytics); Application (Insurance Claims Review, Payment Integrity, Other Applications); End-User (Public or Government Agencies, Private Insurance Payers, Private Insurance Payers, Employers) and Geography

Report Code: TIPHE100001199 | No. of Pages: 150 | Category: Healthcare IT | Status: Upcoming
Covid
MARKET INTRODUCTION

Healthcare fraud is difficult to detect and is generally go unnoticed; therefore, detection of such fraudulent claims is necessary, as they increase the burden on society. The use of fraud detection solution enables healthcare firms in accounting, and auditing by predictive data methodologies. Careful account auditing can reveal suspicious providers and policyholders and detect potential fraudulent cases before it occurs.

MARKET DYNAMICS

Large number of fraudulent activities in healthcare, rising number of patients opting health insurance, prepayment review model, increasing pressure of fraud and abuse on healthcare spending is expected to drive the growth of the market. Moreover, increasing adoption of cloud-based analytics, emergence of social media and its impact on the healthcare industry, artificial intelligence (AI) in healthcare fraud detection is expected to provide opportunity for the growth of healthcare fraud detection market during the forecast period

MARKET SCOPE

The "Global Healthcare Fraud Detection Market Analysis to 2027" is a specialized and in-depth study of the healthcare fraud detection industry with a focus on the global market trend. The report aims to provide an overview of global healthcare fraud detection market with detailed market segmentation by delivery model, component, type, application, end user, and geography. The global healthcare fraud detection market is expected to witness high growth during the forecast period. The report provides key statistics on the market status of the leading market players and offers key trends and opportunities in the market.

MARKET SEGMENTATION

The healthcare fraud detection market is segmented based on delivery model as, on-premise delivery models and on-premise delivery models. On the basis of component healthcare fraud detection market is segmented into services and software. Based on type, healthcare fraud detection market is segmented into predictive analytics, prescriptive analytics and descriptive analytics. On the basis of application, healthcare fraud detection market is segmented into insurance claims review, payment integrity and other applications. Based on the end user the market is segmented as public/government agencies, private insurance payers, third-party service providers and employers.

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REGIONAL FRAMEWORK

The report provides a detailed overview of the industry including both qualitative and quantitative information. It provides overview and forecast of the global healthcare fraud detection market based on various segments. It also provides market size and forecast estimates from year 2017 to 2027 with respect to five major regions, namely; North America, Europe, Asia-Pacific (APAC), Middle East and Africa (MEA) and South & Central America. The healthcare fraud detection market by each region is later sub-segmented by respective countries and segments. The report covers analysis and forecast of 18 countries globally along with current trend and opportunities prevailing in the region.

The report analyzes factors affecting healthcare fraud detection market from both demand and supply side and further evaluates market dynamics effecting the market during the forecast period i.e., drivers, restraints, opportunities, and future trend. The report also provides exhaustive PEST analysis for all five regions namely; North America, Europe, APAC, MEA and South & Central America after evaluating political, economic, social and technological factors effecting the healthcare fraud detection market in these regions.

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MARKET PLAYERS


The reports cover key developments in the healthcare fraud detection market as organic and inorganic growth strategies. Various companies are focusing on organic growth strategies such as product launches, product approvals and others such as patents and events. Inorganic growth strategies activities witnessed in the market were acquisitions, and partnership & collaborations. These activities have paved way for expansion of business and customer base of market players. The market players from healthcare fraud detection market are anticipated to lucrative growth opportunities in the future with the rising demand for healthcare fraud detection market in the global market. Below mentioned is the list of few companies engaged in the healthcare fraud detection market.

The report also includes the profiles of key healthcare fraud detection market companies along with their SWOT analysis and market strategies. In addition, the report focuses on leading industry players with information such as company profiles, components and services offered, financial information of last 3 years, key development in past five years.

1. Verscend Technologies, Inc
2. Fair Isaac Corporation
3. SAS Institute Inc
4. SCIOInspire, Corp
5. Wipro Limited
6. IBM
7. Conduent, Inc
8. HCL Technologies Limited
9. CGI Group Inc
10. McKesson Corporation

The Insight Partner's dedicated research and analysis team consist of experienced professionals with advanced statistical expertise and offer various customization options in the existing study.

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TABLE OF CONTENTS

 1. INTRODUCTION
 1.1. SCOPE OF THE STUDY
 1.2. THE INSIGHT PARTNERS RESEARCH REPORT GUIDANCE
 1.3. MARKET SEGMENTATION
 1.3.1 Healthcare Fraud Detection Market - By Delivery Model
 1.3.2 Healthcare Fraud Detection Market - By Component
 1.3.3 Healthcare Fraud Detection Market - By Type
 1.3.4 Healthcare Fraud Detection Market - By Application
 1.3.5 Healthcare Fraud Detection Market - By End-User
 1.3.6 Healthcare Fraud Detection Market - By Region
 1.3.6.1 By Country

 2. KEY TAKEAWAYS

 3. RESEARCH METHODOLOGY

 4. HEALTHCARE FRAUD DETECTION MARKET LANDSCAPE
 4.1. OVERVIEW
 4.2. PEST ANALYSIS
 4.2.1 North America - Pest Analysis
 4.2.2 Europe - Pest Analysis
 4.2.3 Asia-Pacific - Pest Analysis
 4.2.4 Middle East and Africa - Pest Analysis
 4.2.5 South and Central America - Pest Analysis
 4.3. EXPERT OPINIONS

 5. HEALTHCARE FRAUD DETECTION MARKET - KEY MARKET DYNAMICS
 5.1. KEY MARKET DRIVERS
 5.2. KEY MARKET RESTRAINTS
 5.3. KEY MARKET OPPORTUNITIES
 5.4. FUTURE TRENDS
 5.5. IMPACT ANALYSIS OF DRIVERS, RESTRAINTS & EXPECTED INFLUENCE OF COVID-19 PANDEMIC
 
6. HEALTHCARE FRAUD DETECTION MARKET - GLOBAL MARKET ANALYSIS
 6.1. HEALTHCARE FRAUD DETECTION - GLOBAL MARKET OVERVIEW
 6.2. HEALTHCARE FRAUD DETECTION - GLOBAL MARKET AND FORECAST TO 2027
 6.3. MARKET POSITIONING/MARKET SHARE
 
 7. HEALTHCARE FRAUD DETECTION MARKET - REVENUE AND FORECASTS TO 2027 - DELIVERY MODEL
 7.1. OVERVIEW
 7.2. DELIVERY MODEL MARKET FORECASTS AND ANALYSIS
 7.3. ON-PREMISE DELIVERY MODELS
 7.3.1. Overview
 7.3.2. On-Premise Delivery Models Market Forecast and Analysis
 7.4. ON-DEMAND DELIVERY MODELS
 7.4.1. Overview
 7.4.2. On-Demand Delivery Models Market Forecast and Analysis
 
 8. HEALTHCARE FRAUD DETECTION MARKET - REVENUE AND FORECASTS TO 2027 - COMPONENT
 8.1. OVERVIEW
 8.2. COMPONENT MARKET FORECASTS AND ANALYSIS
 8.3. SERVICES
 8.3.1. Overview
 8.3.2. Services Market Forecast and Analysis
 8.4. SOFTWARE
 8.4.1. Overview
 8.4.2. Software Market Forecast and Analysis
 
 9. HEALTHCARE FRAUD DETECTION MARKET - REVENUE AND FORECASTS TO 2027 - TYPE
 9.1. OVERVIEW
 9.2. TYPE MARKET FORECASTS AND ANALYSIS
 9.3. PREDICTIVE ANALYTICS
 9.3.1. Overview
 9.3.2. Predictive Analytics Market Forecast and Analysis
 9.4. PRESCRIPTIVE ANALYTICS
 9.4.1. Overview
 9.4.2. Prescriptive Analytics Market Forecast and Analysis
 9.5. DESCRIPTIVE ANALYTICS
 9.5.1. Overview
 9.5.2. Descriptive Analytics Market Forecast and Analysis

 10. HEALTHCARE FRAUD DETECTION MARKET - REVENUE AND FORECASTS TO 2027 - APPLICATION
 10.1. OVERVIEW
 10.2. APPLICATION MARKET FORECASTS AND ANALYSIS
 10.3. INSURANCE CLAIMS REVIEW
 10.3.1. Overview
 10.3.2. Insurance Claims Review Market Forecast and Analysis
 10.4. PAYMENT INTEGRITY
 10.4.1. Overview
 10.4.2. Payment Integrity Market Forecast and Analysis
 10.5. OTHER APPLICATIONS
 10.5.1. Overview
 10.5.2. Other Applications Market Forecast and Analysis

 11. HEALTHCARE FRAUD DETECTION MARKET - REVENUE AND FORECASTS TO 2027 - END-USER
 11.1. OVERVIEW
 11.2. END-USER MARKET FORECASTS AND ANALYSIS
 11.3. PUBLIC OR GOVERNMENT AGENCIES
 11.3.1. Overview
 11.3.2. Public or Government Agencies Market Forecast and Analysis
 11.4. PRIVATE INSURANCE PAYERS
 11.4.1. Overview
 11.4.2. Private Insurance Payers Market Forecast and Analysis
 11.5. PRIVATE INSURANCE PAYERS
 11.5.1. Overview
 11.5.2. Private Insurance Payers Market Forecast and Analysis
 11.6. EMPLOYERS
 11.6.1. Overview
 11.6.2. Employers Market Forecast and Analysis

 12. HEALTHCARE FRAUD DETECTION MARKET REVENUE AND FORECASTS TO 2027 - GEOGRAPHICAL ANALYSIS
 12.1. NORTH AMERICA
 12.1.1 North America Healthcare Fraud Detection Market Overview
 12.1.2 North America Healthcare Fraud Detection Market Forecasts and Analysis
 12.1.3 North America Healthcare Fraud Detection Market Forecasts and Analysis - By Delivery Model
 12.1.4 North America Healthcare Fraud Detection Market Forecasts and Analysis - By Component
 12.1.5 North America Healthcare Fraud Detection Market Forecasts and Analysis - By Type
 12.1.6 North America Healthcare Fraud Detection Market Forecasts and Analysis - By Application
 12.1.7 North America Healthcare Fraud Detection Market Forecasts and Analysis - By End-User
 12.1.8 North America Healthcare Fraud Detection Market Forecasts and Analysis - By Countries
 12.1.8.1 United States Healthcare Fraud Detection Market
 12.1.8.1.1 United States Healthcare Fraud Detection Market by Delivery Model
 12.1.8.1.2 United States Healthcare Fraud Detection Market by Component
 12.1.8.1.3 United States Healthcare Fraud Detection Market by Type
 12.1.8.1.4 United States Healthcare Fraud Detection Market by Application
 12.1.8.1.5 United States Healthcare Fraud Detection Market by End-User
 12.1.8.2 Canada Healthcare Fraud Detection Market
 12.1.8.2.1 Canada Healthcare Fraud Detection Market by Delivery Model
 12.1.8.2.2 Canada Healthcare Fraud Detection Market by Component
 12.1.8.2.3 Canada Healthcare Fraud Detection Market by Type
 12.1.8.2.4 Canada Healthcare Fraud Detection Market by Application
 12.1.8.2.5 Canada Healthcare Fraud Detection Market by End-User
 12.1.8.3 Mexico Healthcare Fraud Detection Market
 12.1.8.3.1 Mexico Healthcare Fraud Detection Market by Delivery Model
 12.1.8.3.2 Mexico Healthcare Fraud Detection Market by Component
 12.1.8.3.3 Mexico Healthcare Fraud Detection Market by Type
 12.1.8.3.4 Mexico Healthcare Fraud Detection Market by Application
 12.1.8.3.5 Mexico Healthcare Fraud Detection Market by End-User
 12.2. EUROPE
 12.2.1 Europe Healthcare Fraud Detection Market Overview
 12.2.2 Europe Healthcare Fraud Detection Market Forecasts and Analysis
 12.2.3 Europe Healthcare Fraud Detection Market Forecasts and Analysis - By Delivery Model
 12.2.4 Europe Healthcare Fraud Detection Market Forecasts and Analysis - By Component
 12.2.5 Europe Healthcare Fraud Detection Market Forecasts and Analysis - By Type
 12.2.6 Europe Healthcare Fraud Detection Market Forecasts and Analysis - By Application
 12.2.7 Europe Healthcare Fraud Detection Market Forecasts and Analysis - By End-User
 12.2.8 Europe Healthcare Fraud Detection Market Forecasts and Analysis - By Countries
 12.2.8.1 Germany Healthcare Fraud Detection Market
 12.2.8.1.1 Germany Healthcare Fraud Detection Market by Delivery Model
 12.2.8.1.2 Germany Healthcare Fraud Detection Market by Component
 12.2.8.1.3 Germany Healthcare Fraud Detection Market by Type
 12.2.8.1.4 Germany Healthcare Fraud Detection Market by Application
 12.2.8.1.5 Germany Healthcare Fraud Detection Market by End-User
 12.2.8.2 France Healthcare Fraud Detection Market
 12.2.8.2.1 France Healthcare Fraud Detection Market by Delivery Model
 12.2.8.2.2 France Healthcare Fraud Detection Market by Component
 12.2.8.2.3 France Healthcare Fraud Detection Market by Type
 12.2.8.2.4 France Healthcare Fraud Detection Market by Application
 12.2.8.2.5 France Healthcare Fraud Detection Market by End-User
 12.2.8.3 Italy Healthcare Fraud Detection Market
 12.2.8.3.1 Italy Healthcare Fraud Detection Market by Delivery Model
 12.2.8.3.2 Italy Healthcare Fraud Detection Market by Component
 12.2.8.3.3 Italy Healthcare Fraud Detection Market by Type
 12.2.8.3.4 Italy Healthcare Fraud Detection Market by Application
 12.2.8.3.5 Italy Healthcare Fraud Detection Market by End-User
 12.2.8.4 Spain Healthcare Fraud Detection Market
 12.2.8.4.1 Spain Healthcare Fraud Detection Market by Delivery Model
 12.2.8.4.2 Spain Healthcare Fraud Detection Market by Component
 12.2.8.4.3 Spain Healthcare Fraud Detection Market by Type
 12.2.8.4.4 Spain Healthcare Fraud Detection Market by Application
 12.2.8.4.5 Spain Healthcare Fraud Detection Market by End-User
 12.2.8.5 United Kingdom Healthcare Fraud Detection Market
 12.2.8.5.1 United Kingdom Healthcare Fraud Detection Market by Delivery Model
 12.2.8.5.2 United Kingdom Healthcare Fraud Detection Market by Component
 12.2.8.5.3 United Kingdom Healthcare Fraud Detection Market by Type
 12.2.8.5.4 United Kingdom Healthcare Fraud Detection Market by Application
 12.2.8.5.5 United Kingdom Healthcare Fraud Detection Market by End-User
 12.3. ASIA-PACIFIC
 12.3.1 Asia-Pacific Healthcare Fraud Detection Market Overview
 12.3.2 Asia-Pacific Healthcare Fraud Detection Market Forecasts and Analysis
 12.3.3 Asia-Pacific Healthcare Fraud Detection Market Forecasts and Analysis - By Delivery Model
 12.3.4 Asia-Pacific Healthcare Fraud Detection Market Forecasts and Analysis - By Component
 12.3.5 Asia-Pacific Healthcare Fraud Detection Market Forecasts and Analysis - By Type
 12.3.6 Asia-Pacific Healthcare Fraud Detection Market Forecasts and Analysis - By Application
 12.3.7 Asia-Pacific Healthcare Fraud Detection Market Forecasts and Analysis - By End-User
 12.3.8 Asia-Pacific Healthcare Fraud Detection Market Forecasts and Analysis - By Countries
 12.3.8.1 Australia Healthcare Fraud Detection Market
 12.3.8.1.1 Australia Healthcare Fraud Detection Market by Delivery Model
 12.3.8.1.2 Australia Healthcare Fraud Detection Market by Component
 12.3.8.1.3 Australia Healthcare Fraud Detection Market by Type
 12.3.8.1.4 Australia Healthcare Fraud Detection Market by Application
 12.3.8.1.5 Australia Healthcare Fraud Detection Market by End-User
 12.3.8.2 China Healthcare Fraud Detection Market
 12.3.8.2.1 China Healthcare Fraud Detection Market by Delivery Model
 12.3.8.2.2 China Healthcare Fraud Detection Market by Component
 12.3.8.2.3 China Healthcare Fraud Detection Market by Type
 12.3.8.2.4 China Healthcare Fraud Detection Market by Application
 12.3.8.2.5 China Healthcare Fraud Detection Market by End-User
 12.3.8.3 India Healthcare Fraud Detection Market
 12.3.8.3.1 India Healthcare Fraud Detection Market by Delivery Model
 12.3.8.3.2 India Healthcare Fraud Detection Market by Component
 12.3.8.3.3 India Healthcare Fraud Detection Market by Type
 12.3.8.3.4 India Healthcare Fraud Detection Market by Application
 12.3.8.3.5 India Healthcare Fraud Detection Market by End-User
 12.3.8.4 Japan Healthcare Fraud Detection Market
 12.3.8.4.1 Japan Healthcare Fraud Detection Market by Delivery Model
 12.3.8.4.2 Japan Healthcare Fraud Detection Market by Component
 12.3.8.4.3 Japan Healthcare Fraud Detection Market by Type
 12.3.8.4.4 Japan Healthcare Fraud Detection Market by Application
 12.3.8.4.5 Japan Healthcare Fraud Detection Market by End-User
 12.3.8.5 South Korea Healthcare Fraud Detection Market
 12.3.8.5.1 South Korea Healthcare Fraud Detection Market by Delivery Model
 12.3.8.5.2 South Korea Healthcare Fraud Detection Market by Component
 12.3.8.5.3 South Korea Healthcare Fraud Detection Market by Type
 12.3.8.5.4 South Korea Healthcare Fraud Detection Market by Application
 12.3.8.5.5 South Korea Healthcare Fraud Detection Market by End-User
 12.4. MIDDLE EAST AND AFRICA
 12.4.1 Middle East and Africa Healthcare Fraud Detection Market Overview
 12.4.2 Middle East and Africa Healthcare Fraud Detection Market Forecasts and Analysis
 12.4.3 Middle East and Africa Healthcare Fraud Detection Market Forecasts and Analysis - By Delivery Model
 12.4.4 Middle East and Africa Healthcare Fraud Detection Market Forecasts and Analysis - By Component
 12.4.5 Middle East and Africa Healthcare Fraud Detection Market Forecasts and Analysis - By Type
 12.4.6 Middle East and Africa Healthcare Fraud Detection Market Forecasts and Analysis - By Application
 12.4.7 Middle East and Africa Healthcare Fraud Detection Market Forecasts and Analysis - By End-User
 12.4.8 Middle East and Africa Healthcare Fraud Detection Market Forecasts and Analysis - By Countries
 12.4.8.1 South Africa Healthcare Fraud Detection Market
 12.4.8.1.1 South Africa Healthcare Fraud Detection Market by Delivery Model
 12.4.8.1.2 South Africa Healthcare Fraud Detection Market by Component
 12.4.8.1.3 South Africa Healthcare Fraud Detection Market by Type
 12.4.8.1.4 South Africa Healthcare Fraud Detection Market by Application
 12.4.8.1.5 South Africa Healthcare Fraud Detection Market by End-User
 12.4.8.2 Saudi Arabia Healthcare Fraud Detection Market
 12.4.8.2.1 Saudi Arabia Healthcare Fraud Detection Market by Delivery Model
 12.4.8.2.2 Saudi Arabia Healthcare Fraud Detection Market by Component
 12.4.8.2.3 Saudi Arabia Healthcare Fraud Detection Market by Type
 12.4.8.2.4 Saudi Arabia Healthcare Fraud Detection Market by Application
 12.4.8.2.5 Saudi Arabia Healthcare Fraud Detection Market by End-User
 12.4.8.3 U.A.E Healthcare Fraud Detection Market
 12.4.8.3.1 U.A.E Healthcare Fraud Detection Market by Delivery Model
 12.4.8.3.2 U.A.E Healthcare Fraud Detection Market by Component
 12.4.8.3.3 U.A.E Healthcare Fraud Detection Market by Type
 12.4.8.3.4 U.A.E Healthcare Fraud Detection Market by Application
 12.4.8.3.5 U.A.E Healthcare Fraud Detection Market by End-User
 12.5. SOUTH AND CENTRAL AMERICA
 12.5.1 South and Central America Healthcare Fraud Detection Market Overview
 12.5.2 South and Central America Healthcare Fraud Detection Market Forecasts and Analysis
 12.5.3 South and Central America Healthcare Fraud Detection Market Forecasts and Analysis - By Delivery Model
 12.5.4 South and Central America Healthcare Fraud Detection Market Forecasts and Analysis - By Component
 12.5.5 South and Central America Healthcare Fraud Detection Market Forecasts and Analysis - By Type
 12.5.6 South and Central America Healthcare Fraud Detection Market Forecasts and Analysis - By Application
 12.5.7 South and Central America Healthcare Fraud Detection Market Forecasts and Analysis - By End-User
 12.5.8 South and Central America Healthcare Fraud Detection Market Forecasts and Analysis - By Countries
 12.5.8.1 Brazil Healthcare Fraud Detection Market
 12.5.8.1.1 Brazil Healthcare Fraud Detection Market by Delivery Model
 12.5.8.1.2 Brazil Healthcare Fraud Detection Market by Component
 12.5.8.1.3 Brazil Healthcare Fraud Detection Market by Type
 12.5.8.1.4 Brazil Healthcare Fraud Detection Market by Application
 12.5.8.1.5 Brazil Healthcare Fraud Detection Market by End-User
 12.5.8.2 Argentina Healthcare Fraud Detection Market
 12.5.8.2.1 Argentina Healthcare Fraud Detection Market by Delivery Model
 12.5.8.2.2 Argentina Healthcare Fraud Detection Market by Component
 12.5.8.2.3 Argentina Healthcare Fraud Detection Market by Type
 12.5.8.2.4 Argentina Healthcare Fraud Detection Market by Application
 12.5.8.2.5 Argentina Healthcare Fraud Detection Market by End-User

 13. INDUSTRY LANDSCAPE
 13.1. MERGERS AND ACQUISITIONS
 13.2. AGREEMENTS, COLLABORATIONS AND JOIN VENTURES
 13.3. NEW PRODUCT LAUNCHES
 13.4. EXPANSIONS AND OTHER STRATEGIC DEVELOPMENTS

 14. HEALTHCARE FRAUD DETECTION MARKET, KEY COMPANY PROFILES
 14.1. VERSCEND TECHNOLOGIES, INC
 14.1.1. Key Facts
 14.1.2. Business Description
 14.1.3. Products and Services
 14.1.4. Financial Overview
 14.1.5. SWOT Analysis
 14.1.6. Key Developments
 14.2. FAIR ISAAC CORPORATION
 14.2.1. Key Facts
 14.2.2. Business Description
 14.2.3. Products and Services
 14.2.4. Financial Overview
 14.2.5. SWOT Analysis
 14.2.6. Key Developments
 14.3. SAS INSTITUTE INC
 14.3.1. Key Facts
 14.3.2. Business Description
 14.3.3. Products and Services
 14.3.4. Financial Overview
 14.3.5. SWOT Analysis
 14.3.6. Key Developments
 14.4. SCIOINSPIRE, CORP
 14.4.1. Key Facts
 14.4.2. Business Description
 14.4.3. Products and Services
 14.4.4. Financial Overview
 14.4.5. SWOT Analysis
 14.4.6. Key Developments
 14.5. WIPRO LIMITED
 14.5.1. Key Facts
 14.5.2. Business Description
 14.5.3. Products and Services
 14.5.4. Financial Overview
 14.5.5. SWOT Analysis
 14.5.6. Key Developments
 14.6. IBM
 14.6.1. Key Facts
 14.6.2. Business Description
 14.6.3. Products and Services
 14.6.4. Financial Overview
 14.6.5. SWOT Analysis
 14.6.6. Key Developments
 14.7. CONDUENT, INC
 14.7.1. Key Facts
 14.7.2. Business Description
 14.7.3. Products and Services
 14.7.4. Financial Overview
 14.7.5. SWOT Analysis
 14.7.6. Key Developments
 14.8. HCL TECHNOLOGIES LIMITED
 14.8.1. Key Facts
 14.8.2. Business Description
 14.8.3. Products and Services
 14.8.4. Financial Overview
 14.8.5. SWOT Analysis
 14.8.6. Key Developments
 14.9. CGI GROUP INC
 14.9.1. Key Facts
 14.9.2. Business Description
 14.9.3. Products and Services
 14.9.4. Financial Overview
 14.9.5. SWOT Analysis
 14.9.6. Key Developments
 14.10. MCKESSON CORPORATION
 14.10.1. Key Facts
 14.10.2. Business Description
 14.10.3. Products and Services
 14.10.4. Financial Overview
 14.10.5. SWOT Analysis
 14.10.6. Key Developments

 15. APPENDIX
 15.1. ABOUT THE INSIGHT PARTNERS
 15.2. GLOSSARY OF TERMS

 

The List of Companies

1. Verscend Technologies, Inc
2. Fair Isaac Corporation
3. SAS Institute Inc
4. SCIOInspire, Corp
5. Wipro Limited
6. IBM
7. Conduent, Inc
8. HCL Technologies Limited
9. CGI Group Inc
10. McKesson Corporation

 

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