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Global Insurance Fraud Detection Market: By Technology: Solutions, Services; By Organization: Small and Medium-Sized Enterprises, Large Enterprises; By Deployment: Cloud, On-Premises; By Service: Professional Services, Managed Services; By Solution: Fraud Analytics, Authentication, Governance, Risk, and Compliance, Others; By Application: Claims Fraud, Identity Theft, Payment Fraud and Billing Fraud, Money Laundering; By Region: North America, Europe, Asia Pacific, Latin America, Middle East & Africa; Historical Production and Consumption (2015-2019); Production and Consumption Forecast (2020-2025); SWOT Analysis; Competitive Landscape & Supplier Analysis; Events and Development

Global Insurance Fraud Detection Market Key Insights:

 

  • Market Overview
  • Market Opportunities
  • Regional Market Analysis
  • Historical Market Size 2015-2019
  • Competitive Landscape
  • SWOT Analysis
  • Market Forecast 2020-2025
  • Events and Developments
  • Market Indicators

 

Market Outlook
 
The global insurance fraud detection industry attained a value of almost USD 2.7 billion in 2019. The market is further expected to grow in the forecast period of 2020-2025 at a CAGR of about 26% to reach USD 10.8 billion by 2025. The market is primarily being driven by stringent regulations. North America is the largest region for the market.

Global Insurance Fraud Detection Market Report and Forecast 2020-2025

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Properties and Applications

Fraud analytics require a range of computational technologies to analyse the processes and infrastructure of organisations to identify vulnerabilities in which fraud can occur. Such systems track and analyse data from various data sources; identify irregularities and alleged and suspicious conduct on all channels and provide monitoring in real-time for fraud prevention. Fraud analytics refers to the foundation of all fraud detection tools for insurance companies. Most suppliers offer conventional rules-based computational fraud models, while some prefer strategies for artificial intelligence and machine learning. Fraud detection tools detect fraud proactively and help fulfil compliance requirements.

The industry can be divided based on technology, organisation, deployment, service, solution, application, and region.

On the basis of technology, the industry can be divided into:

  • Solutions 
  • Services

Solutions can be divided into:

  • Fraud Analytics 
  • Authentication 
  • Governance, Risk, and Compliance 
  • Others

Services can be divided into professional and managed services.

Professional services are further segmented into the following:

  • Consulting Services
  • Training and Education
  • Support and Maintenance

Based on organisation, the industry can be divided into small and medium-sized enterprises and large enterprises.

Deployment is further classified into cloud and on-premises.

The industry can be broadly categorised based on its applications into:

  • Claims Fraud 
  • Identity Theft 
  • Payment Fraud and Billing Fraud 
  • Money Laundering

The EMR report looks into the regional markets of insurance fraud detection like North America, Latin America, Europe, the Middle East and Africa, and the Asia Pacific.

Market Analysis

The main driving factors behind the market growth are the need for companies to efficiently handle enormous numbers of identities, boost operational efficiency, increase customer experience, maximize the use of advanced analysis techniques, and strict regulatory compliance.

The lack of awareness among organisations, combined with a lack of integration of fraud detection options through organisational networks, of the value of fraud detection solutions and inappropriate implementation may restrict the industry growth.

Competitive Landscape
 
The report presents a detailed analysis of the following key players in the global insurance fraud detection industry, looking into their capacity, market shares, and latest developments like capacity expansions, plant turnarounds, and mergers and acquisitions:

  • FICO (NYSE: FICO)
  • IBM 
  • BAE Systems 
  • SAS Institute 
  • Experian
  • Lexisnexis 
  • Iovation 
  • Friss 
  • SAP 
  • Fiserv 
  • ACI Worldwide 
  • Others

 The EMR report gives an in-depth insight into the industry by providing a SWOT analysis as well as an analysis of Porter’s Five Forces model.

Key Questions Answered in the Report:

  • How has the global insurance fraud detection industry performed in the previous years (2015-2019)?
  • What is the forecast assessment of the industry for 2020-2025?
  • What are the major drivers of the historical (2015-2019) and forecast (2020-2025) periods?
  • What are the major constraints of the historical (2015-2019) and forecast (2020-2025) periods?
  • What are the major price indicators of the global market?
  • What are the major demand indicators of the global insurance fraud detection industry?
  • Who are the key manufacturers in the global insurance fraud detection industry?
  • What is the degree of competition in the global market?
  • What are the major events and developments taking place within the global insurance fraud detection industry?

1    Preface
    1.1    Objectives of the Study
        1.1.1    Research Objective
        1.1.2    Key Findings of the Report
2    Research Methodology
    2.1    Data Extraction
    2.2    Data Corroboration
    2.3    Market Structure
    2.4    Assumptions
    2.5    Market Models
3    Introduction
    3.1    Market Outlook
    3.2    Market Scope and Segmentation
    3.3    Additional Insights
4    Executive Summary
    4.1    Key Market Developments
    4.2    Market Analysis
    4.3    Key Players
    4.4    Market Revenue and Growth
5    Market Dynamics
    5.1    Market Driver Analysis
    5.2    Market Restraint Analysis
    5.3    Industry Challenges
    5.4    Industry Opportunities
6    Global Insurance Fraud Detection Market Analysis
    6.1    Global Insurance Fraud Detection Historical Market (2015-2019) & Forecast (2020-2025)
    6.2    Global Insurance Fraud Detection Market Breakup by Technology
        6.2.1    Solutions 
        6.2.2    Services
    6.3    Global Insurance Fraud Detection Market Breakup by Technology: Historical Market (2015-2019) & Forecast (2020-2025)
        6.3.1    Solutions 
        6.3.2    Services
    6.4    Global Insurance Fraud Detection Market Breakup by Organization
        6.4.1    Small and Medium-Sized Enterprises 
        6.4.2    Large Enterprises 
    6.5    Global Insurance Fraud Detection Market Breakup by Organization: Historical Market (2015-2019) & Forecast (2020-2025)
        6.5.1    Small and Medium-Sized Enterprises 
        6.5.2    Large Enterprises 
    6.6    Global Insurance Fraud Detection Market Breakup by Deployment
        6.6.1    Cloud 
        6.6.2    On-Premises
    6.7    Global Insurance Fraud Detection Market Breakup by Deployment: Historical Market (2015-2019) & Forecast (2020-2025)
        6.7.1    Cloud 
        6.7.2    On-Premises
    6.8    Global Insurance Fraud Detection Market Breakup by Service
        6.8.1    Professional Services 
            6.8.1.1    Consulting Services
            6.8.1.2    Training and Education
            6.8.1.3    Support and Maintenance
        6.8.2    Managed Services 
    6.9    Global Insurance Fraud Detection Market Breakup by Service: Historical Market (2015-2019) & Forecast (2020-2025)
        6.9.1    Professional Services 
            6.9.1.1    Consulting Services
            6.9.1.2    Training and Education
            6.9.1.3    Support and Maintenance
        6.9.2    Managed Services 
    6.10    Global Insurance Fraud Detection Market Breakup by Solution
        6.10.1    Fraud Analytics 
        6.10.2    Authentication 
        6.10.3    Governance, Risk, and Compliance 
        6.10.4    Others
    6.11    Global Insurance Fraud Detection Market Breakup by Solution: Historical Market (2015-2019) & Forecast (2020-2025)
        6.11.1    Fraud Analytics 
        6.11.2    Authentication 
        6.11.3    Governance, Risk, and Compliance 
        6.11.4    Others
    6.12       Global Insurance Fraud Detection Market Breakup by Application
        6.12.1    Claims Fraud 
        6.12.2    Identity Theft 
        6.12.3    Payment Fraud and Billing Fraud 
        6.12.4    Money Laundering   
    6.13    Global Insurance Fraud Detection Market Breakup by Application: Historical Market (2015-2019) & Forecast (2020-2025)
        6.13.1    Claims Fraud 
        6.13.2    Identity Theft 
        6.13.3    Payment Fraud and Billing Fraud 
        6.13.4    Money Laundering
    6.14    Global Insurance Fraud Detection Market Breakup by Region
        6.14.1    North America 
            6.14.1.1    United States of America
            6.14.1.2    Canada
        6.14.2    Europe 
            6.14.2.1    Germany
            6.14.2.2    United Kingdom
            6.14.2.3    France
            6.14.2.4    Italy
            6.14.2.5    Others
        6.14.3    Asia Pacific
            6.14.3.1    China
            6.14.3.2    Japan
            6.14.3.3    India
            6.14.3.4    ASEAN
            6.14.3.5    Others
        6.14.4    Latin America 
            6.14.4.1    Brazil    
            6.14.4.2    Argentina
            6.14.4.3    Mexico
            6.14.4.4    Others
        6.14.5    Middle East & Africa 
            6.14.5.1    Saudi Arabia  
            6.14.5.2    United Arab Emirates
            6.14.5.3    Nigeria
            6.14.5.4    South Africa
            6.14.5.5    Others
    6.15    Global Insurance Fraud Detection Market Breakup by Region: Historical Market (2015-2019) & Forecast (2020-2025) 
        6.15.1    North America 
            6.15.1.1    United States of America
            6.15.1.2    Canada
        6.15.2    Europe 
            6.15.2.1    Germany
            6.15.2.2    United Kingdom
            6.15.2.3    France
            6.15.2.4    Italy
            6.15.2.5    Others
        6.15.3    Asia Pacific
            6.15.3.1    China
            6.15.3.2    Japan
            6.15.3.3    India
            6.15.3.4    ASEAN
            6.15.3.5    Others
        6.15.4    Latin America 
            6.15.4.1    Brazil    
            6.15.4.2    Argentina
            6.15.4.3    Mexico
            6.15.4.4    Others
        6.15.5    Middle East & Africa 
            6.15.5.1    Saudi Arabia  
            6.15.5.2    United Arab Emirates
            6.15.5.3    Nigeria
            6.15.5.4    South Africa
            6.15.5.5    Others
7    SWOT Analysis
    7.1    Overview
    7.2    Strengths
    7.3    Weaknesses
    7.4    Opportunities
    7.5    Threats
8    Porter’s Five Forces Analysis
    8.1    Overview
    8.2    Buyer’s Power
    8.3    Supplier’s Power
    8.4    New Entrants
    8.5    Degree of Rivalry
    8.6    Substitutes
9    EMR’s Key Indicators for Demand
10    EMR’s Key Indicators for Price
11    Competitive Landscape & Supplier Analysis

    11.1    FICO [FICO (NYSE)]
        11.1.1    Company Overview
        11.1.2    Financial Analysis
    11.2    IBM [IBM (NYSE)]
        11.2.1    Company Overview
        11.2.2    Financial Analysis
    11.3    BAE Systems [BA (LON)]
        11.3.1    Company Overview
        11.3.2    Financial Analysis
    11.4    SAS Institute 
        11.4.1    Company Overview
        11.4.2    Financial Analysis
    11.5    Experian [ EXPN (LON)]
        11.5.1    Company Overview
        11.5.2    Financial Analysis
    11.6    Lexisnexis 
        11.6.1    Company Overview
        11.6.2    Financial Analysis
    11.7    Iovation 
        11.7.1    Company Overview
        11.7.2    Financial Analysis
    11.8    Friss 
        11.8.1    Company Overview
        11.8.2    Financial Analysis
    11.9    SAP 
        11.9.1    Company Overview
        11.9.2    Financial Analysis
    11.10    Fiserv [FISV (NASDAQ)]
        11.10.1    Company Overview
        11.10.2    Financial Analysis
    11.11    ACI Worldwide [ACIW (NASDAQ)]
        11.11.1    Company Overview
        11.11.2    Financial Analysis
    11.12    Others
12    Events and Development

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