Healthcare Fraud Detection Market

Healthcare Fraud Detection Market by Type (Descriptive, Prescriptive), Application (Insurance Claim, Prepay, Post payment), Component (Service, Software), Delivery (On-premise, Cloud), End user (Insurance Payer, Private, Public) - Global Forecast to 2022

Report Code: HIT 5868 Jan, 2018, by marketsandmarkets.com

[160 Pages Report] The overall healthcare fraud detection market is expected to grow from 2,242.7 million by 2022 from USD 504.4 million in 2016, at a CAGR of 28.9% from 2017 to 2022.Some of the major factors like large number of fraudulent activities in healthcare; increasing number of patients seeking health insurance; the prepayment review model; growing pressure of fraud, waste, and abuse on healthcare spending; and high returns on investment will help in the growth of the market. The healthcare fraud detection market is expanding with the emergence of new applications and technologies. Healthcare fraud detection solutions are being used in applications such as insurance claims review, including post-payment review and pre-payment review, payment integrity and other applications including case management and identity management. The base year considered for the study is 2016 and the forecast period is from 2017 to 2022.

Market Dynamics

Drivers

  • Large number of fraudulent activities in healthcare
  • Increasing number of patients seeking health insurance
  • Prepayment review model
  • Growing pressure of fraud, waste, and abuse on healthcare spending
  • High returns on investment

Restraints

  • Reluctance to adopt healthcare fraud analytics in emerging countries

Opportunities

  • Cloud-based analytics
  • Emergence of social media and its impact on the healthcare industry
  • AI in healthcare fraud detection

Challenges

  • Dearth of skilled personnel
  • Time-consuming deployment and need for frequent upgrades

Large number of fraudulent activities in healthcare are responsible for driving the global healthcare fraud detection market

Fraudulent healthcare claims increase the burden on the healthcare system of the society. As healthcare costs rise, the costs associated with these schemes also rises, thus making the consumers endure rising insurance premiums and out-of-pocket expenses.

In July 2017, federal authorities in the US announced charges against 412 physicians, nurses, pharmacists and other medical professionals who accounted for more than USD 1.3 billion in fraudulent transactions across more than 20 states in the US. Healthcare fraud is a problem that costs billions of dollars for taxpayers across the globe. The National Health Care Anti-fraud Association (US) estimated that 3% of the healthcare spending, around USD 60 billion is spent on healthcare fraud in the US. Along with this, identity theft is another major problem that has victimized around 1.5 million people in the US. The average cost incurred by a victim due to medical identity theft is around USD 20,000. Likewise fraud, corruption, and waste are a major threat to the sustainability of healthcare systems in Europe. According to the European countries’ National Report, the most common types of healthcare-related fraud in Europe include non-compliance with invoicing rules as well as the invoicing of irregular or unperformed health services. From 2014 to 2015, nearly 4,819 episodes of fraud (an average of 402 cases per month) were reported to the health system in the UK (Source: ENFCN). In Belgium, the government health inspection authority (MEID) identified 1,225,585 infringements in 2015. Additionally, health insurance is gradually growing in popularity in Asia, especially through private health insurers, making the payers in these regions susceptible to fraud. Considering these factors, the need for fraud detection and prevention tools is increasing in the healthcare industry, which acts as a significant opportunity for the players in this market

The following are the major objectives of the study.

  • To define, describe, and forecast the healthcare fraud detection market by type, component, delivery model, end user, and region
  • To provide detailed information regarding major factors influencing market growth (drivers, restraints, opportunities, and industry-specific challenges)
  • To analyze micromarkets with respect to individual growth trends, prospects, and contributions to the overall market
  • To analyze opportunities in the market for stakeholders and provide details of the competitive landscape for market leaders
  • To forecast the market size of market segments with respect to the four key regions: North America, Europe, Asia, and the Rest of the World (RoW)
  • To profile the key players and comprehensively analyze their product portfolios, market positions, and core competencies
  • To track and analyze competitive developments in the healthcare fraud detection market, such as joint ventures, mergers and acquisitions, product launches and expansions

During this research study, major players operating in the healthcare fraud detection market in various regions have been identified, and their offerings, regional presence, and distribution channels have been analyzed through in-depth discussions. Top-down and bottom-up approaches have been used to determine the overall market size. Sizes of the other individual markets have been estimated using the percentage splits obtained through secondary sources such as Hoovers, Bloomberg BusinessWeek, and Factiva, along with primary respondents. The entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews with industry experts such as CEOs, VPs, directors, and marketing executives for key insights (both qualitative and quantitative) pertaining to the market. The figure below shows the breakdown of the primaries on the basis of the company type, designation, and region considered during the research study.

Healthcare Fraud Detection Market

To know about the assumptions considered for the study, download the pdf brochure

The healthcare fraud detection market is highly competitive with the presence of various players. Some of the major players operating in the market include IBM (US), Optum (US), SAS (US), McKesson (US), SCIO (US), Verscend (US), Wipro (India), Conduent (US), HCL (India), CGI (Canada), DXC (US), Northrop Grumman (US), LexisNexis (US), and Pondera (US).

Major Market Developments

  • In 2017, DXC Technology (CSC) entered into a collaboration with Virtual Clarity (UK) to offer clients’ next-generation IT solutions for their cloud environments.
  • In 2016, IBM acquired Truven Health Analytics provider of cloud-based healthcare data, analytics, and insights. This acquisition strengthened IBM’s product portfolio for fraud, waste, and abuse detection and customer base.
  • In 2017, LexisNexis entered into a partnership with National Insurance Crime Bureau (NICB) as per which NICB added LexisNexis’ Risk Solutions to the NICB Strategic Partner network of companies to identify and fight insurance fraud. .

Target Audience:

  • Healthcare IT firms
  • Healthcare analytics vendors
  • Healthcare payers
  • Venture capitalists
  • Research and consulting firms
  • Healthcare fraud detection service providers

Report Scope:

By Type <

  • Descriptive Analytics
  • Predictive Analytics
  • Prescriptive Analytics

By Component

  • Software
  • Services

By Delivery Model

  • On-premise
  • On-demand

By Application

  • Insurance claims review
  • Payment integrity
  • Other applications (case management and identity management)

By End User

  • Private insurance payers
  • Public/government agencies
  • Employers
  • Third party service providers

Healthcare Fraud Detection Market, by Region

  • North America
    • US
    • Canada
  • Europe
    • Germany
    • France
    • UK
    • RoE (Rest of Europe)
  • Asia
  • RoW

Critical questions which the report answers

  • What are new application areas which the healthcare fraud detection companies are exploring?
  • Which are the key players in the market and how intense is the competition?

Available Customizations:

With the given market data, MarketsandMarkets offers customizations as per the company‘s specific needs.

The following customization options are available for this report.

Company Information

  • Detailed analysis and profiling of additional market players (up to 5)

The healthcare fraud detection market is expected to reach USD 2,242.7 million by 2022 from USD 631.0 million in 2017, at a CAGR of 28.9%. Market growth can be attributed to the large number of fraudulent activities in healthcare; increasing number of patients seeking health insurance; the prepayment review model; growing pressure of fraud, waste, and abuse on healthcare spending; and high returns on investment.

Healthcare fraud is intentional deception or misrepresentation of facts by patients or healthcare providers that can result in unauthorized benefit or payment. Examples of fraud may include submitting claims for services not provided, falsifying claims or medical records and misrepresenting dates, frequency, duration or description of services rendered. Fraud detection is the efficient use of data analytics and related business insights developed through statistical, quantitative, predictive, comparative, cognitive, and other emerging applied analytical models, for detecting and preventing healthcare fraud. Descriptive analytics, predictive analytics and prescriptive, are some of the fraud detection analytical tools that are used for detecting healthcare frauds.

The healthcare fraud detection market has been segmented, on the basis of component, into services and software. The services segment is expected to register highest growth rate over the forecast period. With the increasing need for fraud analytics services and the introduction of technologically advanced healthcare fraud detection software, which requires extensive training to use as well as regular upgrades, the services segment is expected to grow at the highest CAGR during the forecast period.

The healthcare fraud detection market in North America is expected to grow at the highest CAGR during the forecast period. Factors such as increase in the number of people seeking health insurance, increasing cases of healthcare fraud, favorable government initiatives to combat healthcare fraud, rising pressure to reduce healthcare costs, technological advancements, and greater product and service availability in this region are expected to drive market growth in North America.

Healthcare Fraud Detection Market

Large number of fraudulent activities in healthcare are responsible for driving the global healthcare fraud detection market

Insurance Claims Review

Insurance claims reviews is one of those applications where healthcare fraud detection solutions are extensively. The number of people seeking health insurance globally has increased significantly in the recent years. This, in turn, is resulting in a growing burden on healthcare payer organizations to process large volumes of claims data with a higher probability of fraudulent claims. Hence, health insurance claims review is one of the major applications of healthcare fraud detection solutions.

Payment Integrity

Healthcare payment integrity (PI) refers to the correct payment of each claim (the payment made by an appropriate party to another appropriate party) for the treatment of an eligible individual according to the plan-of-benefits contract. The payment must be neither in error nor in duplicate, and it must be absent of wasteful or abusive practices. Payment integrity is not limited to claims adjustment and is determined by an end-to-end business process beginning with the defining plan of benefits and enrollment of members, right through to claims processing, payment, and customer service.

Other Applications

This segment includes identity management and case management. Healthcare reforms and heightened regulatory scrutiny have made identity management a top priority within healthcare organizations and across health information and insurance exchanges. As a result of the growing number of new consumers entering the healthcare system and more medical transactions being conducted online, access to a scalable information management infrastructure that can link health information to individuals as well as identify and authenticate users accessing this protected data is gaining increasing importance.

Critical questions the report answers:

  • Where will all these developments take the industry in the mid to long term?
  • What are the upcoming industry applications for healthcare fraud detection?

Reluctance to adopt healthcare fraud detection analytics in emerging countries is a major factor restraining the growth of the market. The continued use of existing basic analytics tools is restricting the implementation of newer solutions among end users in emerging countries. Many payers in these countries continue to rely on manual methods of basic business analytics tools. These tools are used at the departmental-level and are capable of using only retrospective data. Reports are seen as “good enough for now” until they become too inefficient to continue. Since such regions lack established processes to capture data, analyzing unstructured data is also a challenge. Moreover, many healthcare payer organizations in these countries are reluctant to adopt advanced fraud analytics solutions due to budgetary constraints and lack of operating skills. This reluctance to change existing systems is one of the major challenges for healthcare analytics vendors operating in emerging markets. Also, in some emerging economies, the adoption rate of healthcare analytics solutions is low due to lack of language support in solutions.

Key players in the market include IBM (US), Optum (US), SAS (US), McKesson (US), SCIO (US), Verscend (US), Wipro (India), Conduent (US), HCL (India), CGI (Canada), DXC (US), Northrop Grumman (US), LexisNexis (US), and Pondera (US). These players are increasingly undertaking agreements, partnership, collaborations and contracts, expansions and acquisitions, and product launches to develop and introduce new technologies and products in the market.

To speak to our analyst for a discussion on the above findings, click Speak to Analyst

Table of Contents

1 Introduction (Page No. - 15)
    1.1 Objectives of the Study
    1.2 Market Definition
    1.3 Market Scope
           1.3.1 Markets Covered
           1.3.2 Years Considered for the Study
    1.4 Currency
    1.5 Limitations
    1.6 Stakeholders

2 Research Methodology (Page No. - 18)
    2.1 Research Data
           2.1.1 Secondary Data
                    2.1.1.1 Secondary Sources
           2.1.2 Primary Data
                    2.1.2.1 Primary Sources
                    2.1.2.2 Key Industry Insights
    2.2 Market Size Estimation
           2.2.1 Bottom-Up Approach
           2.2.2 Top-Down Approach
    2.3 Market Breakdown and Data Triangulation
    2.4 Assumptions for the Study

3 Executive Summary (Page No. - 26)

4 Premium Insights (Page No. - 30)
    4.1 Healthcare Fraud Detection: Market Overview
    4.2 Healthcare Fraud Detection, By Product and Service
    4.3 Healthcare Fraud Detection, By Type
    4.4 Healthcare Fraud Detection, By Delivery Model

5 Market Overview (Page No. - 33)
    5.1 Introduction
    5.2 Market Dynamics
           5.2.1 Drivers
                    5.2.1.1 Large Number of Fraudulent Activities in Healthcare
                    5.2.1.2 Increasing Number of Patients Seeking Health Insurance
                    5.2.1.3 Prepayment Review Model
                    5.2.1.4 Growing Pressure of Fraud, Waste, and Abuse on Healthcare Spending
                    5.2.1.5 High Returns on Investment
           5.2.2 Restraint
                    5.2.2.1 Reluctance to Adopt Healthcare Fraud Analytics in Emerging Countries
           5.2.3 Opportunities
                    5.2.3.1 Cloud-Based Analytics
                    5.2.3.2 Emergence of Social Media and Its Impact on the Healthcare Industry
                    5.2.3.3 Ai in Healthcare Fraud Detection
           5.2.4 Challenges
                    5.2.4.1 Dearth of Skilled Personnel
                    5.2.4.2 Time-Consuming Deployment and Need for Frequent Upgrades

6 Healthcare Fraud Detection Market, By Component (Page No. - 39)
    6.1 Introduction
    6.2 Services
    6.3 Software

7 Fraud Detection Market, By Delivery Model (Page No. - 46)
    7.1 Introduction
    7.2 On-Premise Delivery Models
    7.3 On-Demand Delivery Models

8 Healthcare Fraud Detection Market, By Type (Page No. - 53)
    8.1 Introduction
    8.2 Descriptive Analytics
    8.3 Predictive Analytics
    8.4 Prescriptive Analytics

9 Healthcare Fraud Detection Market, By Application (Page No. - 63)
    9.1 Introduction
    9.2 Insurance Claims Review
           9.2.1 Postpayment Review
           9.2.2 Prepayment Review
    9.3 Payment Integrity
    9.4 Other Applications

10 Healthcare Fraud Detection Market, By End User (Page No. - 71)
     10.1 Introduction
     10.2 Private Insurance Payers
     10.3 Public/Government Agencies
     10.4 Third-Party Service Providers
     10.5 Employers

11 Healthcare Fraud Detection Market, By Region (Page No. - 78)
     11.1 Introduction
     11.2 North America
             11.2.1 US
             11.2.2 Canada
     11.3 Europe
             11.3.1 Germany
             11.3.2 UK
             11.3.3 France
             11.3.4 Rest of Europe
     11.4 Asia
     11.5 Rest of the World (RoW)

12 Competitive Landscape (Page No. - 112)
     12.1 Overview
     12.2 Market Player Ranking, 2016
     12.3 Competitive Scenario
             12.3.1 Agreements, Partnerships, Collaborations, and Contracts
             12.3.2 Expansions
             12.3.3 Acquisitions
             12.3.4 Product Launches

13 Company Profiles (Page No. - 118)
(Overview, Products Offered, Product Offering Scorecard, Business Strategy Scorecard, Recent Developments)*
     13.1 IBM
     13.2 Optum (A Part of Unitedhealth Group)
     13.3 Verscend Technologies
     13.4 Mckesson
     13.5 Fair Isaac (Fico)
     13.6 SAS Institute
     13.7 Scio Health Analytics
     13.8 Wipro
     13.9 Conduent
     13.10 HCL Technologies
     13.11 CGI Group
     13.12 DXC Technology
     13.13 Northrop Grumman
     13.14 Lexinexis (A Part of Relx Group)
     13.15 Pondera Solutions

*Details on Marketsandmarkets View, Overview, Products Offered, Product Offering Scorecard, Business Strategy Scorecard, and Recent Developments Might Not Be Captured in Case of Unlisted Companies.

14 Appendix (Page No. - 151)
     14.1 Insights From Industry Experts
     14.2 Discussion Guide
     14.3 Knowledge Store: Marketsandmarkets’ Subscription Portal
     14.4 Introducing RT: Real-Time Market Intelligence
     14.5 Available Customizations
     14.6 Related Reports
     14.7 Author Details


List of Tables (92 Tables)

Table 1 Healthcare Fraud Detection Market, By Component, 2015–2022 (USD Million)
Table 2 Healthcare Fraud Detection Services Market, By Region, 2015–2022 (USD Million)
Table 3 North America: Healthcare Fraud Detection Services Market, By Country, 2015–2022 (USD Million)
Table 4 Europe: Healthcare Fraud Detection Services Market, By Country, 2015–2022 (USD Million)
Table 5 Healthcare Fraud Detection Software Market, By Region, 2015–2022 (USD Million)
Table 6 North America: Healthcare Fraud Detection Software Market, By Country, 2015–2022 (USD Million)
Table 7 Europe: Healthcare Fraud Detection Software Market, By Country, 2015–2022 (USD Million)
Table 8 Healthcare Fraud Detection Market, By Delivery Model, 2015–2022 (USD Million)
Table 9 Healthcare Fraud Detection Market for On-Premise Delivery Models, By Region, 2015–2022 (USD Million)
Table 10 North America: Healthcare Fraud Detection Market for On-Premise Delivery Models, By Country, 2015–2022 (USD Million)
Table 11 Europe: Healthcare Fraud Detection Market for On-Premise Delivery Models, By Country, 2015–2022 (USD Million)
Table 12 Healthcare Fraud Detection Market for On-Demand Delivery Models, By Region, 2015–2022 (USD Million)
Table 13 North America: Healthcare Fraud Detection Market for On-Demand Delivery Models, By Country, 2015–2022 (USD Million)
Table 14 Europe: Healthcare Fraud Detection Market for On-Demand Delivery Models, By Country, 2015–2022 (USD Million)
Table 15 Healthcare Fraud Detection Market, By Type, 2015–2022 (USD Million)
Table 16 Descriptive Analytics Market, By Region, 2015–2022 (USD Million)
Table 17 North America: Descriptive Analytics Market, By Country, 2015–2022 (USD Million)
Table 18 Europe: Descriptive Analytics Market, By Country, 2015–2022 (USD Million)
Table 19 Predictive Analytics Market, By Region, 2015–2022 (USD Million)
Table 20 North America: Predictive Analytics Market, By Country, 2015–2022 (USD Million)
Table 21 Europe: Predictive Analytics Market, By Country, 2015–2022 (USD Million)
Table 22 Prescriptive Analytics Market, By Region, 2015–2022 (USD Million)
Table 23 North America: Prescriptive Analytics Market, By Country, 2015–2022 (USD Million)
Table 24 Europe: Prescriptive Analytics Market, By Country, 2015–2022 (USD Million)
Table 25 Healthcare Fraud Detection Market, By Application, 2015–2022 (USD Million)
Table 26 Healthcare Fraud Detection Market for Insurance Claims Review, By Type, 2015–2022 (USD Million)
Table 27 Healthcare Fraud Detection Market for Insurance Claims Review, By Region, 2015–2022 (USD Million)
Table 28 North America: Healthcare Fraud Detection Market for Insurance Claims Review, By Country, 2015–2022 (USD Million)
Table 29 Healthcare Fraud Detection Market for Postpayment Review, By Region, 2015–2022 (USD Million)
Table 30 Healthcare Fraud Detection Market for Prepayment Review, By Region, 2015–2022 (USD Million)
Table 31 Healthcare Fraud Detection Market for Payment Integrity, By Region, 2015–2022 (USD Million)
Table 32 Healthcare Fraud Detection Market for Other Applications, By Region, 2015–2022 (USD Million)
Table 33 Healthcare Fraud Detection Market, By End User, 2015–2022 (USD Million)
Table 34 Healthcare Fraud Detection Market for Private Insurance Payers, By Region, 2015–2022 (USD Million)
Table 35 North America: Healthcare Fraud Detection Market for Private Insurance Payers, By Country, 2015–2022 (USD Million)
Table 36 Healthcare Fraud Detection Market for Public/Government Agencies, By Region, 2015–2022 (USD Million)
Table 37 North America: Healthcare Fraud Detection Market for Public/Government Agencies, By Country, 2015–2022 (USD Million)
Table 38 Healthcare Fraud Detection Market for Third-Party Service Providers, By Region, 2015–2022 (USD Million)
Table 39 North America: Healthcare Fraud Detection Market for Third-Party Service Providers, By Country, 2015–2022 (USD Million)
Table 40 Healthcare Fraud Detection Market for Employers, By Region, 2015–2022 (USD Million)
Table 41 North America: Healthcare Fraud Detection Market for Employers, By Country, 2015–2022 (USD Million)
Table 42 Healthcare Fraud Detection Market, By Region, 2015–2022 (USD Million)
Table 43 North America: Healthcare Fraud Detection Market, By Country, 2015–2022 (USD Million)
Table 44 North America: Healthcare Fraud Detection Market, By Component, 2015–2022 (USD Million)
Table 45 North America: Healthcare Fraud Detection Software Market, By Delivery Model, 2015–2022 (USD Million)
Table 46 North America: Healthcare Fraud Detection Market, By Type, 2015–2022 (USD Million)
Table 47 North America: Healthcare Fraud Detection Market, By Application, 2015–2022 (USD Million)
Table 48 North America: Insurance Claims Review Market, By Type, 2015–2022 (USD Million)
Table 49 North America: Healthcare Fraud Detection Market, By End User, 2015–2022 (USD Million)
Table 50 US: Healthcare Fraud Detection Market, By Component, 2015–2022 (USD Million)
Table 51 US: Healthcare Fraud Detection Software Market, By Delivery Model, 2015–2022 (USD Million)
Table 52 US: Healthcare Fraud Detection Market, By Type, 2015–2022 (USD Million)
Table 53 US: Healthcare Fraud Detection Market, By Application, 2015–2022 (USD Million)
Table 54 US: Insurance Claims Review Market, By Type, 2015–2022 (USD Million)
Table 55 US: Healthcare Fraud Detection Market, By End User, 2015–2022 (USD Million)
Table 56 Canada: Healthcare Fraud Detection Market, By Component, 2015–2022 (USD Million)
Table 57 Canada: Healthcare Fraud Detection Software Market, By Delivery Model, 2015–2022 (USD Million)
Table 58 Canada: Healthcare Fraud Detection Market, By Type, 2015–2022 (USD Million)
Table 59 Canada: Healthcare Fraud Detection Market, By Application, 2015–2022 (USD Million)
Table 60 Canada: Healthcare Fraud Detection Market, By End User, 2015–2022 (USD Million)
Table 61 Europe: Healthcare Fraud Detection Market, By Country, 2015–2022 (USD Million)
Table 62 Europe: Healthcare Fraud Detection Market, By Component, 2015–2022 (USD Million)
Table 63 Europe: Healthcare Fraud Detection Software Market, By Delivery Model, 2015–2022 (USD Million)
Table 64 Europe: Healthcare Fraud Detection Market, By Type, 2015–2022 (USD Million)
Table 65 Europe: Healthcare Fraud Detection Market, By Application, 2015–2022 (USD Million)
Table 66 Europe: Healthcare Fraud Detection Market, By End User, 2015–2022 (USD Million)
Table 67 Germany: Healthcare Fraud Detection Market, By Component, 2015–2022 (USD Million)
Table 68 Germany: Healthcare Fraud Detection Software Market, By Delivery Model, 2015–2022 (USD Million)
Table 69 Germany: Healthcare Fraud Detection Market, By Type, 2015–2022 (USD Million)
Table 70 Germany: Healthcare Fraud Detection Market, By End User, 2015–2022 (USD Million)
Table 71 UK: Healthcare Fraud Detection Market, By Component, 2015–2022 (USD Million)
Table 72 UK: Healthcare Fraud Detection Software Market, By Delivery Model, 2015–2022 (USD Million)
Table 73 UK: Healthcare Fraud Detection Market, By Type, 2015–2022 (USD Million)
Table 74 UK: Healthcare Fraud Detection Market, By End User, 2015–2022 (USD Million)
Table 75 France: Healthcare Fraud Detection Market, By Component, 2015–2022 (USD Million)
Table 76 France: Healthcare Fraud Detection Software Market, By Delivery Model, 2015–2022 (USD Million)
Table 77 France: Healthcare Fraud Detection Market, By Type, 2015–2022 (USD Million)
Table 78 France: Healthcare Fraud Detection Market, By End User, 2015–2022 (USD Million)
Table 79 RoE: Healthcare Fraud Detection Market, By Component, 2015–2022 (USD Million)
Table 80 RoE: Healthcare Fraud Detection Software Market, By Delivery Model, 2015–2022 (USD Million)
Table 81 RoE: Healthcare Fraud Detection Market, By Type, 2015–2022 (USD Million)
Table 82 RoE: Healthcare Fraud Detection Market, By End User, 2015–2022 (USD Million)
Table 83 Asia: Healthcare Fraud Detection Market, By Component, 2015–2022 (USD Million)
Table 84 Asia: Healthcare Fraud Detection Software Market, By Delivery Model, 2015–2022 (USD Million)
Table 85 Asia: Healthcare Fraud Detection Market, By Type, 2015–2022 (USD Million)
Table 86 Asia: Healthcare Fraud Detection Market, By Application, 2015–2022 (USD Million)
Table 87 Asia: Healthcare Fraud Detection Market, By End User, 2015–2022 (USD Million)
Table 88 RoW: Healthcare Fraud Detection Market, By Component, 2015–2022 (USD Million)
Table 89 RoW: Healthcare Fraud Detection Software Market, By Delivery Model, 2015–2022 (USD Million)
Table 90 RoW: Healthcare Fraud Detection Market, By Type, 2015–2022 (USD Million)
Table 91 RoW: Healthcare Fraud Detection Market, By End User, 2015–2022 (USD Million)
Table 92 Healthcare Fraud Detection Ranking Analysis, By Key Player, 2016


List of Figures (39 Figures)

Figure 1 Healthcare Fraud Detection Market
Figure 2 Research Design
Figure 3 Breakdown of Primary Interviews: By Company Type, Designation, and Region
Figure 4 Data Triangulation
Figure 5 Descriptive Analytics Segment to Dominate the Market, By Type, During the Forecast Period
Figure 6 Services Segment to Dominate the Market in 2017
Figure 7 On-Demand Delivery Models to Grow at the Highest Rate During the Forecast Period
Figure 8 Private Insurance Payers Segment to Hold the Largest Market Share in 2017
Figure 9 North America to Hold the Largest Share of the Global Market During 2017 to 2022
Figure 10 Large Number of Fraudulent Activities in Healthcare to Drive the Growth of the Market
Figure 11 Services Segment to Grow at the Highest CAGR Over the Forecast Period (2017 -2022)
Figure 12 Prescriptive Analytics to Witness High Growth Rate From 2017 to 2022
Figure 13 On-Premise Models to Account for the Largest Share of the Healthcare Fraud Detection in 2017
Figure 14 Healthcare Fraud Detection Market: Drivers, Restraints, Opportunities, and Challenges
Figure 15 Healthcare Spending as A Percentage of the GDP, By Country, 2015
Figure 16 Services Segment to Dominate the Healthcare Fraud Detection Market in 2017
Figure 17 On-Demand Segment to Register Highest Growth Rate During the Forecast Period (2017–2022)
Figure 18 North America to Dominate the Global Healthcare Fraud Detection Market for On-Premise Delivery Models (2017–2022)
Figure 19 Prescriptive Analytics to Witness Highest Growth During the Forecast Period
Figure 20 North America is Expected to Dominate the Global Descriptive Analytics Market (2017–2022)
Figure 21 Insurance Claims Review Segment to Dominate the Healthcare Fraud Detection Market in 2017
Figure 22 Payers to Dominate the Healthcare Fraud Detection Market During the Forecast Period
Figure 23 North America to Witness the Highest Growth in the Healthcare Fraud Detection Market During the Forecast Period
Figure 24 North America: Healthcare Fraud Detection Market Snapshot
Figure 25 Europe: Healthcare Fraud Detection Market Snapshot
Figure 26 Asia: Healthcare Fraud Detection Market Snapshot
Figure 27 RoW: Healthcare Fraud Detection Market Snapshot
Figure 28 Market Evolution Framework
Figure 29 IBM: Company Snapshot
Figure 30 Mckesson: Company Snapshot
Figure 31 Fico: Company Snapshot
Figure 32 SAS Institute: Company Snapshot
Figure 33 Wipro: Company Snapshot
Figure 34 Conduent: Company Snapshot
Figure 35 HCL: Company Snapshot
Figure 36 CGI Group: Company Snapshot
Figure 37 DXC Technology: Company Snapshot
Figure 38 Northrop Grumman: Company Snapshot
Figure 39 Relx Group: Company Snapshot


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Report Code
HIT 5868
Published ON
Jan, 2018
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