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Insurance Fraud Detection Market by Component (Solution, Services), by Deployment Mode (On-premises, Cloud), by Enterprise Size (Large Enterprises, Small and Medium-sized Enterprises (SMEs)), by Applications (Payment Fraud and Billing Fraud, Identity Theft, Claims Fraud, Money Laundering): Global Opportunity Analysis and Industry Forecast, 2021-2031

A06948

Pages: 291

Charts: 60

Tables: 168

Insurance Fraud Detection Market Research, 2031

The global insurance fraud detection market size was valued at $3.3 billion in 2021, and is projected to reach $28.1 billion by 2031, growing at a CAGR of 24.2% from 2022 to 2031.

[COVIDIMPACTSTATEMENT]

The ultimate goal of fraud detection is to save insurers from incurring fraud-related losses. And when fraud is detected before it is processed, or in a manner that allows carriers to act quickly, less loss is incurred. Fraud detection greatly increases the speed at which insurers are identifying fraudulent claims or potentially fraudulent claims. This is critical in today’s economy, especially in cases of workers’ compensation where fraud is increasing. The faster that fraud is identified, the faster insurers can respond and prevent any loss.

The increasing use of advance analytics and technology has led to increase in use of insurance fraud detection. Moreover, surge in number of insurance fraud including fake medical records, inaccurate claims, abductions, and others, has led to the rise of fraud detection products and solutions in the insurance market to reduce fraudulent claim settlement activities. In addition, increasing adoption of advanced analytics and technology are some of the factors propelling the insurance fraud detection market growth. Moreover, rise in cyber security infrastructure for insurance fraud detection is a major driving factor for the growth of the market. However, many insurance companies use outdated internal systems and rely on manual process including knowledge workers or business rules for detecting the fraud on excel sheets. In addition, improper handling of data and privacy of the clients are some of the major factors limiting the insurance fraud detection market. On the contrary, advances in technology and adoption of artificial intelligence and machine learning in detection of fraud in insurance claims are expected to provide lucrative growth opportunities in the coming years.

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The insurance fraud detection market is segmented into component, deployment mode, enterprise size, application, and region. By component, it is segmented into solution and services. By deployment mode, it is bifurcated into on-premises and cloud. Based on enterprise size, it is segregated into large enterprises, and small and medium-sized enterprises. By application, the market is divided into payment fraud and billing fraud, identity theft, claims fraud, and money laundering. By region, it is analyzed across Asia-Pacific, Europe, North America, and LAMEA.

[COMPONENTGRAPH]

By component, the solution segment attained the highest insurance fraud detection market share in 2021. This was attributed to the fact that insurance fraud detection solutions help insurers to identify suspicious activity, uncover hidden relationships and detect subtle patterns of behavior at every stage of the claims process.

[REGIONGRAPH]

Region wise, Asia-Pacific attained the highest growth in 2021. This is attributed to the fact that modernization or digitalization is the most accelerating trend in the Asia-Pacific. At start of the pandemic many companies were reluctant to sell insurance without a face-to-face interaction, but as it started to increase insurers started to invest in digital tools & solutions, and hybrid agency model.

The report includes of key players operating in the insurance fraud detection market analysis such as BAE Systems., Duck Creek Technologies, Equifax Inc., Experian Information Solutions, Inc., FICO, FRISS, Fiserv, Inc., IBM, LexisNexis Risk Solutions Group., and SAS Institute, Inc. These players have adopted various strategies to increase their market penetration and strengthen their position in the insurance fraud detection market.

COVID-19 impact analysis

Since the start of the pandemic, there is a significant increase in the number of fraudulent claims. Phantom claims in relation to COVID-19 are those in which the client claims to have suffered loss or hardship as a direct result of the pandemic. Although there is no standard way for a phantom COVID-19 claim to be made, one thing they tend to have in common is that they claim the coronavirus pandemic has had a significant effect on their health and wellbeing. Fraudsters may also try to deceptively claim against a life insurance policy for a family member who they fictitiously claim to have died of the disease. Some of these fraudulent claims have been substantial, citing that the coronavirus pandemic has caused significant long-term consequences for the claimant. In some cases, the claims were made by clients who suffered no consequences whatsoever as a result of the pandemic. Therefore, technology and data are now playing a very important role in the insurance fraud detection industry when combatting fraud of this sort. It detects any unusual behavior throughout the customer journey from quote stage to underwriting, and during the whole insurance claim fraud detection stage. In addition, it enables cross-industry anti-fraud collaboration and protects honest customers. When it comes to fraud related specifically to COVID-19, market players are adopting fraud detection solutions as part of their digital transformation program to enable the detection of sophisticated and evolving fraudulent insurance claiming behaviors. Thus, the COVID-19 had a positive impact on the insurance fraud detection market.

Top impacting factors

Increase in insurance fraud

The insurance fraud detection software provides fraud analytics, which involves a set of analytical techniques to analyze systems and databases to identify activities where fraud can happen. The increasing happenings of insurance fraud has increased the demand for fraud detection solutions. Further, increasing incidents of customer frauds, including fake medical records, inaccurate claims, abductions, and others, has led to rise of fraud detection products and solutions in the insurance market. Insurance frauds are generally done at the time of application or claims, according to the survey conducted by The Hindu- business line. Moreover, the usage of AI fraud detection insurance is increasing the chances to identify cover-ups, misinterpretation of incidents, identity fraud, and false claims. For the past few years, insurance industry has been rapidly growing, as everyone is becoming more and more informative about the insurance industry & the advantages associated with it. This has given a chance to the fraudsters for committing scams and frauds in the insurance sector. Therefore, increase in life insurance fraud detection is one of the major driving factor of the insurance fraud detection industry.   

Outdated internal fraud detection systems  

Insurers can take advantage from accessing more data. Data processed quickly and accurately can further enhance the speed for detecting the problematic issues with the insurance claims. Updated and advanced software can fully automate underwriting and make better pricing decisions. Unfortunately, many insurance companies use outdated internal systems and rely on manual process including knowledge workers or business rules for detecting the fraud on excel sheets. Investigation and follow up becomes easier if the data is available on one system, it would instantly present the cases that require immediate attention. Moreover, work on integrated data and advanced solutions is expected to make less errors and reduce the data inaccuracy in handling fraud detection. Therefore, outdated internal fraud system are a major setback for the insurance fraud detection market outlook.  

Key benefits for stakeholders

  • This report provides a quantitative analysis of the market segments, current trends, estimations, and dynamics of the insurance fraud detection market forecast from 2021 to 2031 to identify the prevailing insurance fraud detection market opportunity.
  • In-depth analysis of the insurance fraud detection market segmentation assists to determine the prevailing market opportunities.
  • Major countries in each region are mapped according to their revenue contribution to the global market.
  • The report includes the analysis of the regional as well as global insurance fraud detection market trends, key players, market segments, application areas, and growth strategies.

Key Market Segments

  • By Component
    • Solution
    • Services
  • By Deployment Mode
    • On-premises
    • Cloud
  • By Enterprise Size
    • Large Enterprises
    • Small and Medium-sized Enterprises (SMEs)
  • By Applications
    • Payment Fraud and Billing Fraud
    • Identity Theft
    • Claims Fraud
    • Money Laundering
  • By Region
    • Asia-Pacific
      • China
      • India
      • Japan
      • Australia
      • South Korea
      • Rest of Asia-Pacific
    • Europe
      • United Kingdom
      • Germany
      • France
      • Italy
      • Spain
      • Russia
      • Rest of Europe
    • North America
      • U.S.
      • Canada
    • LAMEA
      • Latin America
      • Middle East
      • Africa


Key Market Players

  • Duck Creek Technologies
  • Equifax Inc.
  • FICO
  • IBM
  • SAS Institute Inc.
  • FRISS
  • LexisNexis Risk Solutions Group.
  • Fiserv, Inc.
  • Experian Information Solutions, Inc.
  • BAE Systems
  • CHAPTER 1:INTRODUCTION

    • 1.1.Report description

    • 1.2.Key market segments

    • 1.3.Key benefits to the stakeholders

    • 1.4.Research Methodology

      • 1.4.1.Secondary research

      • 1.4.2.Primary research

      • 1.4.3.Analyst tools and models

  • CHAPTER 2:EXECUTIVE SUMMARY

    • 2.1.Key findings of the study

    • 2.2.CXO Perspective

  • CHAPTER 3:MARKET OVERVIEW

    • 3.1.Market definition and scope

    • 3.2.Key findings

      • 3.2.1.Top investment pockets

    • 3.3.Porter’s five forces analysis

    • 3.4.Top player positioning

    • 3.5.Market dynamics

      • 3.5.1.Drivers

      • 3.5.2.Restraints

      • 3.5.3.Opportunities

    • 3.6.COVID-19 Impact Analysis on the market

  • CHAPTER 4: INSURANCE FRAUD DETECTION MARKET, BY COMPONENT

    • 4.1 Overview

      • 4.1.1 Market size and forecast

    • 4.2 Solution

      • 4.2.1 Key market trends, growth factors and opportunities

      • 4.2.2 Market size and forecast, by region

      • 4.2.3 Market analysis by country

    • 4.3 Services

      • 4.3.1 Key market trends, growth factors and opportunities

      • 4.3.2 Market size and forecast, by region

      • 4.3.3 Market analysis by country

  • CHAPTER 5: INSURANCE FRAUD DETECTION MARKET, BY DEPLOYMENT MODE

    • 5.1 Overview

      • 5.1.1 Market size and forecast

    • 5.2 On-premises

      • 5.2.1 Key market trends, growth factors and opportunities

      • 5.2.2 Market size and forecast, by region

      • 5.2.3 Market analysis by country

    • 5.3 Cloud

      • 5.3.1 Key market trends, growth factors and opportunities

      • 5.3.2 Market size and forecast, by region

      • 5.3.3 Market analysis by country

  • CHAPTER 6: INSURANCE FRAUD DETECTION MARKET, BY ENTERPRISE SIZE

    • 6.1 Overview

      • 6.1.1 Market size and forecast

    • 6.2 Large Enterprises

      • 6.2.1 Key market trends, growth factors and opportunities

      • 6.2.2 Market size and forecast, by region

      • 6.2.3 Market analysis by country

    • 6.3 Small and Medium-sized Enterprises (SMEs)

      • 6.3.1 Key market trends, growth factors and opportunities

      • 6.3.2 Market size and forecast, by region

      • 6.3.3 Market analysis by country

  • CHAPTER 7: INSURANCE FRAUD DETECTION MARKET, BY APPLICATIONS

    • 7.1 Overview

      • 7.1.1 Market size and forecast

    • 7.2 Payment Fraud and Billing Fraud

      • 7.2.1 Key market trends, growth factors and opportunities

      • 7.2.2 Market size and forecast, by region

      • 7.2.3 Market analysis by country

    • 7.3 Identity Theft

      • 7.3.1 Key market trends, growth factors and opportunities

      • 7.3.2 Market size and forecast, by region

      • 7.3.3 Market analysis by country

    • 7.4 Claims Fraud

      • 7.4.1 Key market trends, growth factors and opportunities

      • 7.4.2 Market size and forecast, by region

      • 7.4.3 Market analysis by country

    • 7.5 Money Laundering

      • 7.5.1 Key market trends, growth factors and opportunities

      • 7.5.2 Market size and forecast, by region

      • 7.5.3 Market analysis by country

  • CHAPTER 8: INSURANCE FRAUD DETECTION MARKET, BY REGION

    • 8.1 Overview

      • 8.1.1 Market size and forecast

    • 8.2 Asia-Pacific

      • 8.2.1 Key trends and opportunities

      • 8.2.2 Asia-Pacific Market size and forecast, by Component

      • 8.2.3 Asia-Pacific Market size and forecast, by Deployment Mode

      • 8.2.4 Asia-Pacific Market size and forecast, by Enterprise Size

      • 8.2.5 Asia-Pacific Market size and forecast, by Applications

      • 8.2.6 Asia-Pacific Market size and forecast, by country

        • 8.2.6.1 China
          • 8.2.6.1.1 Market size and forecast, by Component
          • 8.2.6.1.2 Market size and forecast, by Deployment Mode
          • 8.2.6.1.3 Market size and forecast, by Enterprise Size
          • 8.2.6.1.4 Market size and forecast, by Applications
        • 8.2.6.2 India
          • 8.2.6.2.1 Market size and forecast, by Component
          • 8.2.6.2.2 Market size and forecast, by Deployment Mode
          • 8.2.6.2.3 Market size and forecast, by Enterprise Size
          • 8.2.6.2.4 Market size and forecast, by Applications
        • 8.2.6.3 Japan
          • 8.2.6.3.1 Market size and forecast, by Component
          • 8.2.6.3.2 Market size and forecast, by Deployment Mode
          • 8.2.6.3.3 Market size and forecast, by Enterprise Size
          • 8.2.6.3.4 Market size and forecast, by Applications
        • 8.2.6.4 Australia
          • 8.2.6.4.1 Market size and forecast, by Component
          • 8.2.6.4.2 Market size and forecast, by Deployment Mode
          • 8.2.6.4.3 Market size and forecast, by Enterprise Size
          • 8.2.6.4.4 Market size and forecast, by Applications
        • 8.2.6.5 South Korea
          • 8.2.6.5.1 Market size and forecast, by Component
          • 8.2.6.5.2 Market size and forecast, by Deployment Mode
          • 8.2.6.5.3 Market size and forecast, by Enterprise Size
          • 8.2.6.5.4 Market size and forecast, by Applications
        • 8.2.6.6 Rest of Asia-Pacific
          • 8.2.6.6.1 Market size and forecast, by Component
          • 8.2.6.6.2 Market size and forecast, by Deployment Mode
          • 8.2.6.6.3 Market size and forecast, by Enterprise Size
          • 8.2.6.6.4 Market size and forecast, by Applications
    • 8.3 Europe

      • 8.3.1 Key trends and opportunities

      • 8.3.2 Europe Market size and forecast, by Component

      • 8.3.3 Europe Market size and forecast, by Deployment Mode

      • 8.3.4 Europe Market size and forecast, by Enterprise Size

      • 8.3.5 Europe Market size and forecast, by Applications

      • 8.3.6 Europe Market size and forecast, by country

        • 8.3.6.1 United Kingdom
          • 8.3.6.1.1 Market size and forecast, by Component
          • 8.3.6.1.2 Market size and forecast, by Deployment Mode
          • 8.3.6.1.3 Market size and forecast, by Enterprise Size
          • 8.3.6.1.4 Market size and forecast, by Applications
        • 8.3.6.2 Germany
          • 8.3.6.2.1 Market size and forecast, by Component
          • 8.3.6.2.2 Market size and forecast, by Deployment Mode
          • 8.3.6.2.3 Market size and forecast, by Enterprise Size
          • 8.3.6.2.4 Market size and forecast, by Applications
        • 8.3.6.3 France
          • 8.3.6.3.1 Market size and forecast, by Component
          • 8.3.6.3.2 Market size and forecast, by Deployment Mode
          • 8.3.6.3.3 Market size and forecast, by Enterprise Size
          • 8.3.6.3.4 Market size and forecast, by Applications
        • 8.3.6.4 Italy
          • 8.3.6.4.1 Market size and forecast, by Component
          • 8.3.6.4.2 Market size and forecast, by Deployment Mode
          • 8.3.6.4.3 Market size and forecast, by Enterprise Size
          • 8.3.6.4.4 Market size and forecast, by Applications
        • 8.3.6.5 Spain
          • 8.3.6.5.1 Market size and forecast, by Component
          • 8.3.6.5.2 Market size and forecast, by Deployment Mode
          • 8.3.6.5.3 Market size and forecast, by Enterprise Size
          • 8.3.6.5.4 Market size and forecast, by Applications
        • 8.3.6.6 Russia
          • 8.3.6.6.1 Market size and forecast, by Component
          • 8.3.6.6.2 Market size and forecast, by Deployment Mode
          • 8.3.6.6.3 Market size and forecast, by Enterprise Size
          • 8.3.6.6.4 Market size and forecast, by Applications
        • 8.3.6.7 Rest of Europe
          • 8.3.6.7.1 Market size and forecast, by Component
          • 8.3.6.7.2 Market size and forecast, by Deployment Mode
          • 8.3.6.7.3 Market size and forecast, by Enterprise Size
          • 8.3.6.7.4 Market size and forecast, by Applications
    • 8.4 North America

      • 8.4.1 Key trends and opportunities

      • 8.4.2 North America Market size and forecast, by Component

      • 8.4.3 North America Market size and forecast, by Deployment Mode

      • 8.4.4 North America Market size and forecast, by Enterprise Size

      • 8.4.5 North America Market size and forecast, by Applications

      • 8.4.6 North America Market size and forecast, by country

        • 8.4.6.1 U.S.
          • 8.4.6.1.1 Market size and forecast, by Component
          • 8.4.6.1.2 Market size and forecast, by Deployment Mode
          • 8.4.6.1.3 Market size and forecast, by Enterprise Size
          • 8.4.6.1.4 Market size and forecast, by Applications
        • 8.4.6.2 Canada
          • 8.4.6.2.1 Market size and forecast, by Component
          • 8.4.6.2.2 Market size and forecast, by Deployment Mode
          • 8.4.6.2.3 Market size and forecast, by Enterprise Size
          • 8.4.6.2.4 Market size and forecast, by Applications
    • 8.5 LAMEA

      • 8.5.1 Key trends and opportunities

      • 8.5.2 LAMEA Market size and forecast, by Component

      • 8.5.3 LAMEA Market size and forecast, by Deployment Mode

      • 8.5.4 LAMEA Market size and forecast, by Enterprise Size

      • 8.5.5 LAMEA Market size and forecast, by Applications

      • 8.5.6 LAMEA Market size and forecast, by country

        • 8.5.6.1 Latin America
          • 8.5.6.1.1 Market size and forecast, by Component
          • 8.5.6.1.2 Market size and forecast, by Deployment Mode
          • 8.5.6.1.3 Market size and forecast, by Enterprise Size
          • 8.5.6.1.4 Market size and forecast, by Applications
        • 8.5.6.2 Middle East
          • 8.5.6.2.1 Market size and forecast, by Component
          • 8.5.6.2.2 Market size and forecast, by Deployment Mode
          • 8.5.6.2.3 Market size and forecast, by Enterprise Size
          • 8.5.6.2.4 Market size and forecast, by Applications
        • 8.5.6.3 Africa
          • 8.5.6.3.1 Market size and forecast, by Component
          • 8.5.6.3.2 Market size and forecast, by Deployment Mode
          • 8.5.6.3.3 Market size and forecast, by Enterprise Size
          • 8.5.6.3.4 Market size and forecast, by Applications
  • CHAPTER 9: COMPANY LANDSCAPE

    • 9.1. Introduction

    • 9.2. Top winning strategies

    • 9.3. Product Mapping of Top 10 Player

    • 9.4. Competitive Dashboard

    • 9.5. Competitive Heatmap

    • 9.6. Key developments

  • CHAPTER 10: COMPANY PROFILES

    • 10.1 BAE Systems

      • 10.1.1 Company overview

      • 10.1.2 Company snapshot

      • 10.1.3 Operating business segments

      • 10.1.4 Product portfolio

      • 10.1.5 Business performance

      • 10.1.6 Key strategic moves and developments

    • 10.2 Duck Creek Technologies

      • 10.2.1 Company overview

      • 10.2.2 Company snapshot

      • 10.2.3 Operating business segments

      • 10.2.4 Product portfolio

      • 10.2.5 Business performance

      • 10.2.6 Key strategic moves and developments

    • 10.3 Equifax Inc.

      • 10.3.1 Company overview

      • 10.3.2 Company snapshot

      • 10.3.3 Operating business segments

      • 10.3.4 Product portfolio

      • 10.3.5 Business performance

      • 10.3.6 Key strategic moves and developments

    • 10.4 Experian Information Solutions, Inc.

      • 10.4.1 Company overview

      • 10.4.2 Company snapshot

      • 10.4.3 Operating business segments

      • 10.4.4 Product portfolio

      • 10.4.5 Business performance

      • 10.4.6 Key strategic moves and developments

    • 10.5 FICO

      • 10.5.1 Company overview

      • 10.5.2 Company snapshot

      • 10.5.3 Operating business segments

      • 10.5.4 Product portfolio

      • 10.5.5 Business performance

      • 10.5.6 Key strategic moves and developments

    • 10.6 FRISS

      • 10.6.1 Company overview

      • 10.6.2 Company snapshot

      • 10.6.3 Operating business segments

      • 10.6.4 Product portfolio

      • 10.6.5 Business performance

      • 10.6.6 Key strategic moves and developments

    • 10.7 Fiserv, Inc.

      • 10.7.1 Company overview

      • 10.7.2 Company snapshot

      • 10.7.3 Operating business segments

      • 10.7.4 Product portfolio

      • 10.7.5 Business performance

      • 10.7.6 Key strategic moves and developments

    • 10.8 IBM

      • 10.8.1 Company overview

      • 10.8.2 Company snapshot

      • 10.8.3 Operating business segments

      • 10.8.4 Product portfolio

      • 10.8.5 Business performance

      • 10.8.6 Key strategic moves and developments

    • 10.9 LexisNexis Risk Solutions Group.

      • 10.9.1 Company overview

      • 10.9.2 Company snapshot

      • 10.9.3 Operating business segments

      • 10.9.4 Product portfolio

      • 10.9.5 Business performance

      • 10.9.6 Key strategic moves and developments

    • 10.10 SAS Institute Inc.

      • 10.10.1 Company overview

      • 10.10.2 Company snapshot

      • 10.10.3 Operating business segments

      • 10.10.4 Product portfolio

      • 10.10.5 Business performance

      • 10.10.6 Key strategic moves and developments

  • LIST OF TABLES

  • TABLE 3. INSURANCE FRAUD DETECTION MARKET FOR SOLUTION BY COUNTRY, 2021-2031,($MILLION)
    TABLE 4. INSURANCE FRAUD DETECTION MARKET REVENUE, FOR SERVICES, BY REGION , 2021-2031,($MILLION)
    TABLE 5. INSURANCE FRAUD DETECTION MARKET FOR SERVICES BY COUNTRY, 2021-2031,($MILLION)
    TABLE 6. GLOBAL INSURANCE FRAUD DETECTION MARKET, BY DEPLOYMENT MODE, 2021-2031,($MILLION)
    TABLE 1. GLOBAL INSURANCE FRAUD DETECTION MARKET, BY COMPONENT, 2021-2031,($MILLION)
    TABLE 2. INSURANCE FRAUD DETECTION MARKET REVENUE, FOR SOLUTION, BY REGION , 2021-2031,($MILLION)
    TABLE 7. INSURANCE FRAUD DETECTION MARKET REVENUE, FOR ON-PREMISES, BY REGION , 2021-2031,($MILLION)
    TABLE 8. INSURANCE FRAUD DETECTION MARKET FOR ON-PREMISES BY COUNTRY, 2021-2031,($MILLION)
    TABLE 9. INSURANCE FRAUD DETECTION MARKET REVENUE, FOR CLOUD, BY REGION , 2021-2031,($MILLION)
    TABLE 10. INSURANCE FRAUD DETECTION MARKET FOR CLOUD BY COUNTRY, 2021-2031,($MILLION)
    TABLE 11. GLOBAL INSURANCE FRAUD DETECTION MARKET, BY ENTERPRISE SIZE, 2021-2031,($MILLION)
    TABLE 12. INSURANCE FRAUD DETECTION MARKET REVENUE, FOR LARGE ENTERPRISES, BY REGION , 2021-2031,($MILLION)
    TABLE 13. INSURANCE FRAUD DETECTION MARKET FOR LARGE ENTERPRISES BY COUNTRY, 2021-2031,($MILLION)
    TABLE 14. INSURANCE FRAUD DETECTION MARKET REVENUE, FOR SMALL AND MEDIUM-SIZED ENTERPRISES (SMES), BY REGION , 2021-2031,($MILLION)
    TABLE 15. INSURANCE FRAUD DETECTION MARKET FOR SMALL AND MEDIUM-SIZED ENTERPRISES (SMES) BY COUNTRY, 2021-2031,($MILLION)
    TABLE 16. GLOBAL INSURANCE FRAUD DETECTION MARKET, BY APPLICATIONS, 2021-2031,($MILLION)
    TABLE 17. INSURANCE FRAUD DETECTION MARKET REVENUE, FOR PAYMENT FRAUD AND BILLING FRAUD, BY REGION , 2021-2031,($MILLION)
    TABLE 18. INSURANCE FRAUD DETECTION MARKET FOR PAYMENT FRAUD AND BILLING FRAUD BY COUNTRY, 2021-2031,($MILLION)
    TABLE 19. INSURANCE FRAUD DETECTION MARKET REVENUE, FOR IDENTITY THEFT, BY REGION , 2021-2031,($MILLION)
    TABLE 20. INSURANCE FRAUD DETECTION MARKET FOR IDENTITY THEFT BY COUNTRY, 2021-2031,($MILLION)
    TABLE 21. INSURANCE FRAUD DETECTION MARKET REVENUE, FOR CLAIMS FRAUD, BY REGION , 2021-2031,($MILLION)
    TABLE 22. INSURANCE FRAUD DETECTION MARKET FOR CLAIMS FRAUD BY COUNTRY, 2021-2031,($MILLION)
    TABLE 23. INSURANCE FRAUD DETECTION MARKET REVENUE, FOR MONEY LAUNDERING, BY REGION , 2021-2031,($MILLION)
    TABLE 24. INSURANCE FRAUD DETECTION MARKET FOR MONEY LAUNDERING BY COUNTRY, 2021-2031,($MILLION)
    TABLE 25. INSURANCE FRAUD DETECTION MARKET, BY REGION, 2021-2031,($MILLION)
    TABLE 26. ASIA-PACIFIC INSURANCE FRAUD DETECTION MARKET, BY COMPONENT, 2021-2031,($MILLION)
    TABLE 27. ASIA-PACIFIC INSURANCE FRAUD DETECTION MARKET, BY DEPLOYMENT MODE, 2021-2031,($MILLION)
    TABLE 28. ASIA-PACIFIC INSURANCE FRAUD DETECTION MARKET, BY ENTERPRISE SIZE, 2021-2031,($MILLION)
    TABLE 29. ASIA-PACIFIC INSURANCE FRAUD DETECTION MARKET, BY APPLICATIONS, 2021-2031,($MILLION)
    TABLE 30. ASIA-PACIFIC INSURANCE FRAUD DETECTION MARKET, BY COUNTRY, 2021-2031,($MILLION)
    TABLE 31. CHINA INSURANCE FRAUD DETECTION MARKET, BY COMPONENT, 2021-2031,($MILLION)
    TABLE 32. CHINA INSURANCE FRAUD DETECTION MARKET, BY DEPLOYMENT MODE, 2021-2031,($MILLION)
    TABLE 33. CHINA INSURANCE FRAUD DETECTION MARKET, BY ENTERPRISE SIZE, 2021-2031,($MILLION)
    TABLE 34. CHINA INSURANCE FRAUD DETECTION MARKET, BY APPLICATIONS, 2021-2031,($MILLION)
    TABLE 35. INDIA INSURANCE FRAUD DETECTION MARKET, BY COMPONENT, 2021-2031,($MILLION)
    TABLE 36. INDIA INSURANCE FRAUD DETECTION MARKET, BY DEPLOYMENT MODE, 2021-2031,($MILLION)
    TABLE 37. INDIA INSURANCE FRAUD DETECTION MARKET, BY ENTERPRISE SIZE, 2021-2031,($MILLION)
    TABLE 38. INDIA INSURANCE FRAUD DETECTION MARKET, BY APPLICATIONS, 2021-2031,($MILLION)
    TABLE 39. JAPAN INSURANCE FRAUD DETECTION MARKET, BY COMPONENT, 2021-2031,($MILLION)
    TABLE 40. JAPAN INSURANCE FRAUD DETECTION MARKET, BY DEPLOYMENT MODE, 2021-2031,($MILLION)
    TABLE 41. JAPAN INSURANCE FRAUD DETECTION MARKET, BY ENTERPRISE SIZE, 2021-2031,($MILLION)
    TABLE 42. JAPAN INSURANCE FRAUD DETECTION MARKET, BY APPLICATIONS, 2021-2031,($MILLION)
    TABLE 43. AUSTRALIA INSURANCE FRAUD DETECTION MARKET, BY COMPONENT, 2021-2031,($MILLION)
    TABLE 44. AUSTRALIA INSURANCE FRAUD DETECTION MARKET, BY DEPLOYMENT MODE, 2021-2031,($MILLION)
    TABLE 45. AUSTRALIA INSURANCE FRAUD DETECTION MARKET, BY ENTERPRISE SIZE, 2021-2031,($MILLION)
    TABLE 46. AUSTRALIA INSURANCE FRAUD DETECTION MARKET, BY APPLICATIONS, 2021-2031,($MILLION)
    TABLE 47. SOUTH KOREA INSURANCE FRAUD DETECTION MARKET, BY COMPONENT, 2021-2031,($MILLION)
    TABLE 48. SOUTH KOREA INSURANCE FRAUD DETECTION MARKET, BY DEPLOYMENT MODE, 2021-2031,($MILLION)
    TABLE 49. SOUTH KOREA INSURANCE FRAUD DETECTION MARKET, BY ENTERPRISE SIZE, 2021-2031,($MILLION)
    TABLE 50. SOUTH KOREA INSURANCE FRAUD DETECTION MARKET, BY APPLICATIONS, 2021-2031,($MILLION)
    TABLE 51. REST OF ASIA-PACIFIC INSURANCE FRAUD DETECTION MARKET, BY COMPONENT, 2021-2031,($MILLION)
    TABLE 52. REST OF ASIA-PACIFIC INSURANCE FRAUD DETECTION MARKET, BY DEPLOYMENT MODE, 2021-2031,($MILLION)
    TABLE 53. REST OF ASIA-PACIFIC INSURANCE FRAUD DETECTION MARKET, BY ENTERPRISE SIZE, 2021-2031,($MILLION)
    TABLE 54. REST OF ASIA-PACIFIC INSURANCE FRAUD DETECTION MARKET, BY APPLICATIONS, 2021-2031,($MILLION)
    TABLE 65. GERMANY INSURANCE FRAUD DETECTION MARKET, BY DEPLOYMENT MODE, 2021-2031,($MILLION)
    TABLE 66. GERMANY INSURANCE FRAUD DETECTION MARKET, BY ENTERPRISE SIZE, 2021-2031,($MILLION)
    TABLE 67. GERMANY INSURANCE FRAUD DETECTION MARKET, BY APPLICATIONS, 2021-2031,($MILLION)
    TABLE 68. FRANCE INSURANCE FRAUD DETECTION MARKET, BY COMPONENT, 2021-2031,($MILLION)
    TABLE 55. EUROPE INSURANCE FRAUD DETECTION MARKET, BY COMPONENT, 2021-2031,($MILLION)
    TABLE 56. EUROPE INSURANCE FRAUD DETECTION MARKET, BY DEPLOYMENT MODE, 2021-2031,($MILLION)
    TABLE 57. EUROPE INSURANCE FRAUD DETECTION MARKET, BY ENTERPRISE SIZE, 2021-2031,($MILLION)
    TABLE 58. EUROPE INSURANCE FRAUD DETECTION MARKET, BY APPLICATIONS, 2021-2031,($MILLION)
    TABLE 59. EUROPE INSURANCE FRAUD DETECTION MARKET, BY COUNTRY, 2021-2031,($MILLION)
    TABLE 60. UNITED KINGDOM INSURANCE FRAUD DETECTION MARKET, BY COMPONENT, 2021-2031,($MILLION)
    TABLE 61. UNITED KINGDOM INSURANCE FRAUD DETECTION MARKET, BY DEPLOYMENT MODE, 2021-2031,($MILLION)
    TABLE 62. UNITED KINGDOM INSURANCE FRAUD DETECTION MARKET, BY ENTERPRISE SIZE, 2021-2031,($MILLION)
    TABLE 63. UNITED KINGDOM INSURANCE FRAUD DETECTION MARKET, BY APPLICATIONS, 2021-2031,($MILLION)
    TABLE 64. GERMANY INSURANCE FRAUD DETECTION MARKET, BY COMPONENT, 2021-2031,($MILLION)
    TABLE 69. FRANCE INSURANCE FRAUD DETECTION MARKET, BY DEPLOYMENT MODE, 2021-2031,($MILLION)
    TABLE 70. FRANCE INSURANCE FRAUD DETECTION MARKET, BY ENTERPRISE SIZE, 2021-2031,($MILLION)
    TABLE 71. FRANCE INSURANCE FRAUD DETECTION MARKET, BY APPLICATIONS, 2021-2031,($MILLION)
    TABLE 72. ITALY INSURANCE FRAUD DETECTION MARKET, BY COMPONENT, 2021-2031,($MILLION)
    TABLE 73. ITALY INSURANCE FRAUD DETECTION MARKET, BY DEPLOYMENT MODE, 2021-2031,($MILLION)
    TABLE 74. ITALY INSURANCE FRAUD DETECTION MARKET, BY ENTERPRISE SIZE, 2021-2031,($MILLION)
    TABLE 75. ITALY INSURANCE FRAUD DETECTION MARKET, BY APPLICATIONS, 2021-2031,($MILLION)
    TABLE 76. SPAIN INSURANCE FRAUD DETECTION MARKET, BY COMPONENT, 2021-2031,($MILLION)
    TABLE 77. SPAIN INSURANCE FRAUD DETECTION MARKET, BY DEPLOYMENT MODE, 2021-2031,($MILLION)
    TABLE 78. SPAIN INSURANCE FRAUD DETECTION MARKET, BY ENTERPRISE SIZE, 2021-2031,($MILLION)
    TABLE 79. SPAIN INSURANCE FRAUD DETECTION MARKET, BY APPLICATIONS, 2021-2031,($MILLION)
    TABLE 80. RUSSIA INSURANCE FRAUD DETECTION MARKET, BY COMPONENT, 2021-2031,($MILLION)
    TABLE 81. RUSSIA INSURANCE FRAUD DETECTION MARKET, BY DEPLOYMENT MODE, 2021-2031,($MILLION)
    TABLE 82. RUSSIA INSURANCE FRAUD DETECTION MARKET, BY ENTERPRISE SIZE, 2021-2031,($MILLION)
    TABLE 83. RUSSIA INSURANCE FRAUD DETECTION MARKET, BY APPLICATIONS, 2021-2031,($MILLION)
    TABLE 84. REST OF EUROPE INSURANCE FRAUD DETECTION MARKET, BY COMPONENT, 2021-2031,($MILLION)
    TABLE 85. REST OF EUROPE INSURANCE FRAUD DETECTION MARKET, BY DEPLOYMENT MODE, 2021-2031,($MILLION)
    TABLE 86. REST OF EUROPE INSURANCE FRAUD DETECTION MARKET, BY ENTERPRISE SIZE, 2021-2031,($MILLION)
    TABLE 87. REST OF EUROPE INSURANCE FRAUD DETECTION MARKET, BY APPLICATIONS, 2021-2031,($MILLION)
    TABLE 88. NORTH AMERICA INSURANCE FRAUD DETECTION MARKET, BY COMPONENT, 2021-2031,($MILLION)
    TABLE 94. U.S. INSURANCE FRAUD DETECTION MARKET, BY DEPLOYMENT MODE, 2021-2031,($MILLION)
    TABLE 95. U.S. INSURANCE FRAUD DETECTION MARKET, BY ENTERPRISE SIZE, 2021-2031,($MILLION)
    TABLE 96. U.S. INSURANCE FRAUD DETECTION MARKET, BY APPLICATIONS, 2021-2031,($MILLION)
    TABLE 97. CANADA INSURANCE FRAUD DETECTION MARKET, BY COMPONENT, 2021-2031,($MILLION)
    TABLE 98. CANADA INSURANCE FRAUD DETECTION MARKET, BY DEPLOYMENT MODE, 2021-2031,($MILLION)
    TABLE 89. NORTH AMERICA INSURANCE FRAUD DETECTION MARKET, BY DEPLOYMENT MODE, 2021-2031,($MILLION)
    TABLE 90. NORTH AMERICA INSURANCE FRAUD DETECTION MARKET, BY ENTERPRISE SIZE, 2021-2031,($MILLION)
    TABLE 91. NORTH AMERICA INSURANCE FRAUD DETECTION MARKET, BY APPLICATIONS, 2021-2031,($MILLION)
    TABLE 92. NORTH AMERICA INSURANCE FRAUD DETECTION MARKET, BY COUNTRY, 2021-2031,($MILLION)
    TABLE 93. U.S. INSURANCE FRAUD DETECTION MARKET, BY COMPONENT, 2021-2031,($MILLION)
    TABLE 99. CANADA INSURANCE FRAUD DETECTION MARKET, BY ENTERPRISE SIZE, 2021-2031,($MILLION)
    TABLE 100. CANADA INSURANCE FRAUD DETECTION MARKET, BY APPLICATIONS, 2021-2031,($MILLION)
    TABLE 101. LAMEA INSURANCE FRAUD DETECTION MARKET, BY COMPONENT, 2021-2031,($MILLION)
    TABLE 102. LAMEA INSURANCE FRAUD DETECTION MARKET, BY DEPLOYMENT MODE, 2021-2031,($MILLION)
    TABLE 103. LAMEA INSURANCE FRAUD DETECTION MARKET, BY ENTERPRISE SIZE, 2021-2031,($MILLION)
    TABLE 104. LAMEA INSURANCE FRAUD DETECTION MARKET, BY APPLICATIONS, 2021-2031,($MILLION)
    TABLE 105. LAMEA INSURANCE FRAUD DETECTION MARKET, BY COUNTRY, 2021-2031,($MILLION)
    TABLE 106. LATIN AMERICA INSURANCE FRAUD DETECTION MARKET, BY COMPONENT, 2021-2031,($MILLION)
    TABLE 107. LATIN AMERICA INSURANCE FRAUD DETECTION MARKET, BY DEPLOYMENT MODE, 2021-2031,($MILLION)
    TABLE 108. LATIN AMERICA INSURANCE FRAUD DETECTION MARKET, BY ENTERPRISE SIZE, 2021-2031,($MILLION)
    TABLE 109. LATIN AMERICA INSURANCE FRAUD DETECTION MARKET, BY APPLICATIONS, 2021-2031,($MILLION)
    TABLE 110. MIDDLE EAST INSURANCE FRAUD DETECTION MARKET, BY COMPONENT, 2021-2031,($MILLION)
    TABLE 111. MIDDLE EAST INSURANCE FRAUD DETECTION MARKET, BY DEPLOYMENT MODE, 2021-2031,($MILLION)
    TABLE 112. MIDDLE EAST INSURANCE FRAUD DETECTION MARKET, BY ENTERPRISE SIZE, 2021-2031,($MILLION)
    TABLE 113. MIDDLE EAST INSURANCE FRAUD DETECTION MARKET, BY APPLICATIONS, 2021-2031,($MILLION)
    TABLE 114. AFRICA INSURANCE FRAUD DETECTION MARKET, BY COMPONENT, 2021-2031,($MILLION)
    TABLE 115. AFRICA INSURANCE FRAUD DETECTION MARKET, BY DEPLOYMENT MODE, 2021-2031,($MILLION)
    TABLE 116. AFRICA INSURANCE FRAUD DETECTION MARKET, BY ENTERPRISE SIZE, 2021-2031,($MILLION)
    TABLE 125.DUCK CREEK TECHNOLOGIES: PRODUCT PORTFOLIO
    TABLE 126.DUCK CREEK TECHNOLOGIES: NET SALES,
    TABLE 127.DUCK CREEK TECHNOLOGIES: KEY STRATERGIES
    TABLE 128.EQUIFAX INC.: COMPANY SNAPSHOT
    TABLE 129.EQUIFAX INC.: OPERATING SEGMENTS
    TABLE 130.EQUIFAX INC.: PRODUCT PORTFOLIO
    TABLE 131.EQUIFAX INC.: NET SALES,
    TABLE 117. AFRICA INSURANCE FRAUD DETECTION MARKET, BY APPLICATIONS, 2021-2031,($MILLION)
    TABLE 118.BAE SYSTEMS: COMPANY SNAPSHOT
    TABLE 119.BAE SYSTEMS: OPERATING SEGMENTS
    TABLE 120.BAE SYSTEMS: PRODUCT PORTFOLIO
    TABLE 121.BAE SYSTEMS: NET SALES,
    TABLE 122.BAE SYSTEMS: KEY STRATERGIES
    TABLE 123.DUCK CREEK TECHNOLOGIES: COMPANY SNAPSHOT
    TABLE 124.DUCK CREEK TECHNOLOGIES: OPERATING SEGMENTS
    TABLE 132.EQUIFAX INC.: KEY STRATERGIES
    TABLE 133.EXPERIAN INFORMATION SOLUTIONS, INC.: COMPANY SNAPSHOT
    TABLE 134.EXPERIAN INFORMATION SOLUTIONS, INC.: OPERATING SEGMENTS
    TABLE 135.EXPERIAN INFORMATION SOLUTIONS, INC.: PRODUCT PORTFOLIO
    TABLE 136.EXPERIAN INFORMATION SOLUTIONS, INC.: NET SALES,
    TABLE 137.EXPERIAN INFORMATION SOLUTIONS, INC.: KEY STRATERGIES
    TABLE 138.FICO: COMPANY SNAPSHOT
    TABLE 139.FICO: OPERATING SEGMENTS
    TABLE 140.FICO: PRODUCT PORTFOLIO
    TABLE 141.FICO: NET SALES,
    TABLE 142.FICO: KEY STRATERGIES
    TABLE 143.FRISS: COMPANY SNAPSHOT
    TABLE 144.FRISS: OPERATING SEGMENTS
    TABLE 145.FRISS: PRODUCT PORTFOLIO
    TABLE 146.FRISS: NET SALES,
    TABLE 147.FRISS: KEY STRATERGIES
    TABLE 148.FISERV, INC.: COMPANY SNAPSHOT
    TABLE 149.FISERV, INC.: OPERATING SEGMENTS
    TABLE 150.FISERV, INC.: PRODUCT PORTFOLIO
    TABLE 151.FISERV, INC.: NET SALES,
    TABLE 152.FISERV, INC.: KEY STRATERGIES
    TABLE 153.IBM: COMPANY SNAPSHOT
    TABLE 154.IBM: OPERATING SEGMENTS
    TABLE 155.IBM: PRODUCT PORTFOLIO
    TABLE 156.IBM: NET SALES,
    TABLE 157.IBM: KEY STRATERGIES
    TABLE 158.LEXISNEXIS RISK SOLUTIONS GROUP.: COMPANY SNAPSHOT
    TABLE 159.LEXISNEXIS RISK SOLUTIONS GROUP.: OPERATING SEGMENTS
    TABLE 160.LEXISNEXIS RISK SOLUTIONS GROUP.: PRODUCT PORTFOLIO
    TABLE 161.LEXISNEXIS RISK SOLUTIONS GROUP.: NET SALES,
    TABLE 162.LEXISNEXIS RISK SOLUTIONS GROUP.: KEY STRATERGIES
    TABLE 163.SAS INSTITUTE INC.: COMPANY SNAPSHOT
    TABLE 164.SAS INSTITUTE INC.: OPERATING SEGMENTS
    TABLE 165.SAS INSTITUTE INC.: PRODUCT PORTFOLIO
    TABLE 166.SAS INSTITUTE INC.: NET SALES,
    TABLE 167.SAS INSTITUTE INC.: KEY STRATERGIES
  • LIST OF FIGURES

  • FIGURE 1.INSURANCE FRAUD DETECTION MARKET SEGMENTATION
    FIGURE 2.INSURANCE FRAUD DETECTION MARKET,2021-2031
    FIGURE 3.INSURANCE FRAUD DETECTION MARKET,2021-2031
    FIGURE 4. TOP INVESTMENT POCKETS, BY REGION
    FIGURE 5.PORTER FIVE-1
    FIGURE 6.PORTER FIVE-2
    FIGURE 7.PORTER FIVE-3
    FIGURE 8.PORTER FIVE-4
    FIGURE 9.PORTER FIVE-5
    FIGURE 10.TOP PLAYER POSITIONING
    FIGURE 11.INSURANCE FRAUD DETECTION MARKET:DRIVERS, RESTRAINTS AND OPPORTUNITIES
    FIGURE 12.INSURANCE FRAUD DETECTION MARKET,BY COMPONENT,2021(%)
    FIGURE 13.COMPARATIVE SHARE ANALYSIS OF SOLUTION INSURANCE FRAUD DETECTION MARKET,2021-2031(%)
    FIGURE 14.COMPARATIVE SHARE ANALYSIS OF SERVICES INSURANCE FRAUD DETECTION MARKET,2021-2031(%)
    FIGURE 15.INSURANCE FRAUD DETECTION MARKET,BY DEPLOYMENT MODE,2021(%)
    FIGURE 16.COMPARATIVE SHARE ANALYSIS OF ON-PREMISES INSURANCE FRAUD DETECTION MARKET,2021-2031(%)
    FIGURE 17.COMPARATIVE SHARE ANALYSIS OF CLOUD INSURANCE FRAUD DETECTION MARKET,2021-2031(%)
    FIGURE 18.INSURANCE FRAUD DETECTION MARKET,BY ENTERPRISE SIZE,2021(%)
    FIGURE 19.COMPARATIVE SHARE ANALYSIS OF LARGE ENTERPRISES INSURANCE FRAUD DETECTION MARKET,2021-2031(%)
    FIGURE 20.COMPARATIVE SHARE ANALYSIS OF SMALL AND MEDIUM-SIZED ENTERPRISES (SMES) INSURANCE FRAUD DETECTION MARKET,2021-2031(%)
    FIGURE 21.INSURANCE FRAUD DETECTION MARKET,BY APPLICATIONS,2021(%)
    FIGURE 22.COMPARATIVE SHARE ANALYSIS OF PAYMENT FRAUD AND BILLING FRAUD INSURANCE FRAUD DETECTION MARKET,2021-2031(%)
    FIGURE 23.COMPARATIVE SHARE ANALYSIS OF IDENTITY THEFT INSURANCE FRAUD DETECTION MARKET,2021-2031(%)
    FIGURE 24.COMPARATIVE SHARE ANALYSIS OF CLAIMS FRAUD INSURANCE FRAUD DETECTION MARKET,2021-2031(%)
    FIGURE 25.COMPARATIVE SHARE ANALYSIS OF MONEY LAUNDERING INSURANCE FRAUD DETECTION MARKET,2021-2031(%)
    FIGURE 26.INSURANCE FRAUD DETECTION MARKET BY REGION,2021
    FIGURE 27.CHINA INSURANCE FRAUD DETECTION MARKET,2021-2031($MILLION)
    FIGURE 28.INDIA INSURANCE FRAUD DETECTION MARKET,2021-2031($MILLION)
    FIGURE 29.JAPAN INSURANCE FRAUD DETECTION MARKET,2021-2031($MILLION)
    FIGURE 30.AUSTRALIA INSURANCE FRAUD DETECTION MARKET,2021-2031($MILLION)
    FIGURE 31.SOUTH KOREA INSURANCE FRAUD DETECTION MARKET,2021-2031($MILLION)
    FIGURE 32.REST OF ASIA-PACIFIC INSURANCE FRAUD DETECTION MARKET,2021-2031($MILLION)
    FIGURE 33.UNITED KINGDOM INSURANCE FRAUD DETECTION MARKET,2021-2031($MILLION)
    FIGURE 34.GERMANY INSURANCE FRAUD DETECTION MARKET,2021-2031($MILLION)
    FIGURE 35.FRANCE INSURANCE FRAUD DETECTION MARKET,2021-2031($MILLION)
    FIGURE 36.ITALY INSURANCE FRAUD DETECTION MARKET,2021-2031($MILLION)
    FIGURE 37.SPAIN INSURANCE FRAUD DETECTION MARKET,2021-2031($MILLION)
    FIGURE 38.RUSSIA INSURANCE FRAUD DETECTION MARKET,2021-2031($MILLION)
    FIGURE 39.REST OF EUROPE INSURANCE FRAUD DETECTION MARKET,2021-2031($MILLION)
    FIGURE 40.U.S. INSURANCE FRAUD DETECTION MARKET,2021-2031($MILLION)
    FIGURE 41.CANADA INSURANCE FRAUD DETECTION MARKET,2021-2031($MILLION)
    FIGURE 42.LATIN AMERICA INSURANCE FRAUD DETECTION MARKET,2021-2031($MILLION)
    FIGURE 43.MIDDLE EAST INSURANCE FRAUD DETECTION MARKET,2021-2031($MILLION)
    FIGURE 44.AFRICA INSURANCE FRAUD DETECTION MARKET,2021-2031($MILLION)
    FIGURE 45. TOP WINNING STRATEGIES, BY YEAR
    FIGURE 46. TOP WINNING STRATEGIES, BY DEVELOPMENT
    FIGURE 47. TOP WINNING STRATEGIES, BY COMPANY
    FIGURE 48.PRODUCT MAPPING OF TOP 10 PLAYERS
    FIGURE 49.COMPETITIVE DASHBOARD
    FIGURE 50.COMPETITIVE HEATMAP OF TOP 10 KEY PLAYERS
    FIGURE 51.BAE SYSTEMS.: NET SALES ,($MILLION)
    FIGURE 52.DUCK CREEK TECHNOLOGIES.: NET SALES ,($MILLION)
    FIGURE 53.EQUIFAX INC..: NET SALES ,($MILLION)
    FIGURE 54.EXPERIAN INFORMATION SOLUTIONS, INC..: NET SALES ,($MILLION)
    FIGURE 55.FICO.: NET SALES ,($MILLION)
    FIGURE 56.FRISS.: NET SALES ,($MILLION)
    FIGURE 57.FISERV, INC..: NET SALES ,($MILLION)
    FIGURE 58.IBM.: NET SALES ,($MILLION)
    FIGURE 59.LEXISNEXIS RISK SOLUTIONS GROUP..: NET SALES ,($MILLION)
    FIGURE 60.SAS INSTITUTE INC..: NET SALES ,($MILLION)

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