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The global insurance fraud detection industry attained a value of almost USD 4.26 billion in 2023. The market is further expected to grow in the forecast period of 2024-2032 at a CAGR of about 26.10% to reach USD 17.04 billion by 2032. The market is primarily being driven by stringent regulations. North America is the largest region for the market.
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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.
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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 can be divided into:
Services can be divided into professional and managed services.
Professional services are further segmented into the following:
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:
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.
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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.
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:
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.
REPORT FEATURES | DETAILS |
Base Year | 2023 |
Historical Period | 2018-2023 |
Forecast Period | 2024-2032 |
Scope of the Report |
Historical and Forecast Trends, Industry Drivers and Constraints, Historical and Forecast Market Analysis by Segment:
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Breakup by Technology |
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Breakup by Organization |
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Breakup by Deployment |
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Breakup by Service |
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Breakup by Solution |
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Breakup by Application |
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Breakup by Region |
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Market Dynamics |
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Competitive Landscape |
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Companies Covered |
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Report Price and Purchase Option | Explore our purchase options that are best suited to your resources and industry needs. |
Delivery Format | Delivered as an attached PDF and Excel through email, with an option of receiving an editable PPT, according to the purchase option. |
*At Expert Market Research, we strive to always give you current and accurate information. The numbers depicted in the description are indicative and may differ from the actual numbers in the final EMR report.
1 Preface
2 Report Coverage – Key Segmentation and Scope
3 Report Description
3.1 Market Definition and Outlook
3.2 Properties and Applications
3.3 Market Analysis
3.4 Key Players
4 Key Assumptions
5 Executive Summary
5.1 Overview
5.2 Key Drivers
5.3 Key Developments
5.4 Competitive Structure
5.5 Key Industrial Trends
6 Snapshot
6.1 Global
6.2 Regional
7 Industry Opportunities and Challenges
8 Global Insurance Fraud Detection Market Analysis
8.1 Key Industry Highlights
8.2 Global Insurance Fraud Detection Historical Market (2018-2023)
8.3 Global Insurance Fraud Detection Market Forecast (2024-2032)
8.4 Global Insurance Fraud Detection Market by Technology
8.4.1 Solutions
8.4.1.1 Market Share
8.4.1.2 Historical Trend (2018-2023)
8.4.1.3 Forecast Trend (2024-2032)
8.4.2 Services
8.4.2.1 Market Share
8.4.2.2 Historical Trend (2018-2023)
8.4.2.3 Forecast Trend (2024-2032)
8.5 Global Insurance Fraud Detection Market by Organization
8.5.1 Small and Medium-Sized Enterprises
8.5.1.1 Market Share
8.5.1.2 Historical Trend (2018-2023)
8.5.1.3 Forecast Trend (2024-2032)
8.5.2 Large Enterprises
8.5.2.1 Market Share
8.5.2.2 Historical Trend (2018-2023)
8.5.2.3 Forecast Trend (2024-2032)
8.6 Global Insurance Fraud Detection Market by Deployment
8.6.1 Cloud
8.6.1.1 Market Share
8.6.1.2 Historical Trend (2018-2023)
8.6.1.3 Forecast Trend (2024-2032)
8.6.2 On-Premises
8.6.2.1 Market Share
8.6.2.2 Historical Trend (2018-2023)
8.6.2.3 Forecast Trend (2024-2032)
8.7 Global Insurance Fraud Detection Market by Service
8.7.1 Professional Services
8.7.1.1 Market Share
8.7.1.2 Historical Trend (2018-2023)
8.7.1.3 Forecast Trend (2024-2032)
8.7.1.4 Breakup by Type
8.7.1.4.1 Consulting Services
8.7.1.4.2 Training and Education
8.7.1.4.3 Support and Maintenance
8.7.2 Managed Services
8.7.2.1 Market Share
8.7.2.2 Historical Trend (2018-2023)
8.7.2.3 Forecast Trend (2024-2032)
8.8 Global Insurance Fraud Detection Market by Solution
8.8.1 Fraud Analytics
8.8.1.1 Market Share
8.8.1.2 Historical Trend (2018-2023)
8.8.1.3 Forecast Trend (2024-2032)
8.8.2 Authentication
8.8.2.1 Market Share
8.8.2.2 Historical Trend (2018-2023)
8.8.2.3 Forecast Trend (2024-2032)
8.8.3 Governance, Risk and Compliance
8.8.3.1 Market Share
8.8.3.2 Historical Trend (2018-2023)
8.8.3.3 Forecast Trend (2024-2032)
8.8.4 Others
8.9 Global Insurance Fraud Detection Market by Application
8.9.1 Claims Fraud
8.9.1.1 Market Share
8.9.1.2 Historical Trend (2018-2023)
8.9.1.3 Forecast Trend (2024-2032)
8.9.2 Identity Theft
8.9.2.1 Market Share
8.9.2.2 Historical Trend (2018-2023)
8.9.2.3 Forecast Trend (2024-2032)
8.9.3 Payment Fraud and Billing Fraud
8.9.3.1 Market Share
8.9.3.2 Historical Trend (2018-2023)
8.9.3.3 Forecast Trend (2024-2032)
8.9.4 Money Laundering
8.9.4.1 Market Share
8.9.4.2 Historical Trend (2018-2023)
8.9.4.3 Forecast Trend (2024-2032)
8.10 Global Insurance Fraud Detection Market by Region
8.10.1 Market Share
8.10.1.1 North America
8.10.1.2 Europe
8.10.1.3 Asia Pacific
8.10.1.4 Latin America
8.10.1.5 Middle East and Africa
9 Regional Analysis
9.1 North America
9.1.1 Historical Trend (2018-2023)
9.1.2 Forecast Trend (2024-2032)
9.1.3 Breakup by Country
9.1.3.1 United States of America
9.1.3.2 Canada
9.2 Europe
9.2.1 Historical Trend (2018-2023)
9.2.2 Forecast Trend (2024-2032)
9.2.3 Breakup by Country
9.2.3.1 United Kingdom
9.2.3.2 Germany
9.2.3.3 France
9.2.3.4 Italy
9.2.3.5 Others
9.3 Asia Pacific
9.3.1 Historical Trend (2018-2023)
9.3.2 Forecast Trend (2024-2032)
9.3.3 Breakup by Country
9.3.3.1 China
9.3.3.2 Japan
9.3.3.3 India
9.3.3.4 ASEAN
9.3.3.5 Australia
9.3.3.6 Others
9.4 Latin America
9.4.1 Historical Trend (2018-2023)
9.4.2 Forecast Trend (2024-2032)
9.4.3 Breakup by Country
9.4.3.1 Brazil
9.4.3.2 Argentina
9.4.3.3 Mexico
9.4.3.4 Others
9.5 Middle East and Africa
9.5.1 Historical Trend (2018-2023)
9.5.2 Forecast Trend (2024-2032)
9.5.3 Breakup by Country
9.5.3.1 Saudi Arabia
9.5.3.2 United Arab Emirates
9.5.3.3 Nigeria
9.5.3.4 South Africa
9.5.3.5 Others
10 Market Dynamics
10.1 SWOT Analysis
10.1.1 Strengths
10.1.2 Weaknesses
10.1.3 Opportunities
10.1.4 Threats
10.2 Porter’s Five Forces Analysis
10.2.1 Supplier’s Power
10.2.2 Buyer’s Power
10.2.3 Threat of New Entrants
10.2.4 Degree of Rivalry
10.2.5 Threat of Substitutes
10.3 Key Indicators for Demand
10.4 Key Indicators for Price
11 Competitive Landscape
11.1 Market Structure
11.2 Company Profiles
11.2.1 FICO
11.2.1.1 Company Overview
11.2.1.2 Product Portfolio
11.2.1.3 Demographic Reach and Achievements
11.2.1.4 Certifications
11.2.2 IBM
11.2.2.1 Company Overview
11.2.2.2 Product Portfolio
11.2.2.3 Demographic Reach and Achievements
11.2.2.4 Certifications
11.2.3 BAE Systems
11.2.3.1 Company Overview
11.2.3.2 Product Portfolio
11.2.3.3 Demographic Reach and Achievements
11.2.3.4 Certifications
11.2.4 SAS Institute
11.2.4.1 Company Overview
11.2.4.2 Product Portfolio
11.2.4.3 Demographic Reach and Achievements
11.2.4.4 Certifications
11.2.5 Experian
11.2.5.1 Company Overview
11.2.5.2 Product Portfolio
11.2.5.3 Demographic Reach and Achievements
11.2.5.4 Certifications
11.2.6 Lexisnexis
11.2.6.1 Company Overview
11.2.6.2 Product Portfolio
11.2.6.3 Demographic Reach and Achievements
11.2.6.4 Certifications
11.2.7 Iovation
11.2.7.1 Company Overview
11.2.7.2 Product Portfolio
11.2.7.3 Demographic Reach and Achievements
11.2.7.4 Certifications
11.2.8 Friss
11.2.8.1 Company Overview
11.2.8.2 Product Portfolio
11.2.8.3 Demographic Reach and Achievements
11.2.8.4 Certifications
11.2.9 SAP
11.2.9.1 Company Overview
11.2.9.2 Product Portfolio
11.2.9.3 Demographic Reach and Achievements
11.2.9.4 Certifications
11.2.10 Fiserv
11.2.10.1 Company Overview
11.2.10.2 Product Portfolio
11.2.10.3 Demographic Reach and Achievements
11.2.10.4 Certifications
11.2.11 ACI Worldwide
11.2.11.1 Company Overview
11.2.11.2 Product Portfolio
11.2.11.3 Demographic Reach and Achievements
11.2.11.4 Certifications
11.2.12 Others
12 Industry Events and Developments
List of Key Figures and Tables
1. Global Insurance Fraud Detection Market: Key Industry Highlights, 2018 and 2032
2. Global Insurance Fraud Detection Historical Market: Breakup by Technology (USD Million), 2018-2023
3. Global Insurance Fraud Detection Market Forecast: Breakup by Technology (USD Million), 2024-2032
4. Global Insurance Fraud Detection Historical Market: Breakup by Organization (USD Million), 2018-2023
5. Global Insurance Fraud Detection Market Forecast: Breakup by Organization (USD Million), 2024-2032
6. Global Insurance Fraud Detection Historical Market: Breakup by Deployment (USD Million), 2018-2023
7. Global Insurance Fraud Detection Market Forecast: Breakup by Deployment (USD Million), 2024-2032
8. Global Insurance Fraud Detection Historical Market: Breakup by Service (USD Million), 2018-2023
9. Global Insurance Fraud Detection Market Forecast: Breakup by Service (USD Million), 2024-2032
10. Global Insurance Fraud Detection Historical Market: Breakup by Solution (USD Million), 2018-2023
11. Global Insurance Fraud Detection Market Forecast: Breakup by Solution (USD Million), 2024-2032
12. Global Insurance Fraud Detection Historical Market: Breakup by Application (USD Million), 2018-2023
13. Global Insurance Fraud Detection Market Forecast: Breakup by Application (USD Million), 2024-2032
14. Global Insurance Fraud Detection Historical Market: Breakup by Region (USD Million), 2018-2023
15. Global Insurance Fraud Detection Market Forecast: Breakup by Region (USD Million), 2024-2032
16. North America Insurance Fraud Detection Historical Market: Breakup by Country (USD Million), 2018-2023
17. North America Insurance Fraud Detection Market Forecast: Breakup by Country (USD Million), 2024-2032
18. Europe Insurance Fraud Detection Historical Market: Breakup by Country (USD Million), 2018-2023
19. Europe Insurance Fraud Detection Market Forecast: Breakup by Country (USD Million), 2024-2032
20. Asia Pacific Insurance Fraud Detection Historical Market: Breakup by Country (USD Million), 2018-2023
21. Asia Pacific Insurance Fraud Detection Market Forecast: Breakup by Country (USD Million), 2024-2032
22. Latin America Insurance Fraud Detection Historical Market: Breakup by Country (USD Million), 2018-2023
23. Latin America Insurance Fraud Detection Market Forecast: Breakup by Country (USD Million), 2024-2032
24. Middle East and Africa Insurance Fraud Detection Historical Market: Breakup by Country (USD Million), 2018-2023
25. Middle East and Africa Insurance Fraud Detection Market Forecast: Breakup by Country (USD Million), 2024-2032
26. Global Insurance Fraud Detection Market Structure
In 2023, the global insurance fraud detection market attained a value of approximately USD 4.26 billion.
The market is projected to grow at a CAGR of 26.10% between 2024 and 2032.
The market is estimated to witness a healthy growth in the forecast period of 2024-2032 to reach around USD 17.04 billion by 2032.
The market is being driven by the growing use of advanced analysis techniques, increasing occurrence of insurance frauds, significant improvements in the cyber security infrastructure, increasing use of artificial intelligence (AI) and the Internet of Things (IoT)-enabled fraud detection solutions, and rising incidence of inaccurate claims.
The key trends boosting the market growth are stringent regulations, need for enterprises to efficiently handle massive quantities of identities, and rapid digitisation of the insurance sector.
The major regions in the market are North America, Latin America, Europe, the Middle East and Africa, and the Asia Pacific, with North America accounting for the largest share in the market.
On the basis of technology, the global insurance fraud detection market can be divided into solutions and services.
Based on organisation, the market can be divided into small and medium-sized enterprises and large enterprises.
Deployment is classified into cloud and on-premises.
Services can be divided into professional and managed services. Professional services are further segmented into consulting services, training and education, and support and maintenance.
Solutions can be divided into fraud analytics, authentication, and governance, risk, and compliance, among others.
The market can be broadly categorised based on its applications into claims fraud, identity theft, payment fraud and billing fraud, and money laundering.
The major players in the market are FICO, IBM, BAE Systems, SAS Institute, Experian, Lexisnexis, Iovation, Friss, SAP, Fiserv, and ACI Worldwide, among others.
The global insurance fraud detection market attained a value of USD 4.26 billion in 2023, driven by stringent regulations. Aided by the increasing occurrence of insurance frauds and rapid digitisation of the insurance sector, the market is expected to witness a further growth in the forecast period of 2024-2032, growing at a CAGR of 26.10%.
EMR’s meticulous research methodology delves deep into the market, covering the macro and micro aspects of the industry. Based on technology, the global insurance fraud detection industry can be segmented into solutions and services. By organisation size, the market can be divided into small and medium-sized enterprises and large enterprises. Based on the deployment, cloud and on-premises are the major segments. Based on service, professional services and managed services are the primary classifications, with professional services further segmenting into consulting services, training and education, support, and maintenance. On the basis of solution, fraud analytics, authentication, governance, risk, and compliance, among others are the various categories. By application, the industry can be segmented into claims fraud, identity theft, payment fraud and billing fraud, and money laundering. The major regional markets for insurance fraud detection are North America, Latin America, Europe, the Middle East and Africa, and the Asia Pacific, with North America accounting for the largest share of the market. The key players in the above market include FICO, IBM, BAE Systems, SAS Institute, Experian, Lexisnexis, Iovation, Friss, SAP, Fiserv, and ACI Worldwide, among others.
EMR’s research methodology uses a combination of cutting-edge analytical tools and the expertise of their highly accomplished team, thus, providing their customers with market insights that are accurate, actionable, and help them remain ahead of their competition.
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