Insurance Fraud Detection Market
完整報告名稱與涵蓋範圍
Insurance Fraud Detection Market Size, Share & Trends Analysis Report, By Component (Solutions, Services), By Deployment (Cloud, On-Premise), By Application (Claims Fraud Analytics, Identity & Application Fraud, Premium Leakage & Underwriting Fraud, Payment & Billing Fraud), By Organization Size (Large Insurers, Small & Medium Insurers), By Region, and Segment Forecasts, 2026-2035
報告摘要
Insurance fraud detection encompasses the analytics software, scoring engines, investigation workbenches and associated services insurers use to identify staged claims, exaggerated losses, application misrepresentation, agent misconduct and organised fraud rings. Coverage spans property and casualty claims triage, life and health claim review, and underwriting-stage screening, delivered as cloud or on-premise solutions to insurers of every size.
Spending is rising because leakage from fraudulent and inflated claims directly erodes loss ratios at a time when claims inflation is already squeezing underwriting margins, giving anti-fraud analytics one of the clearest returns in insurance technology. Straight-through claims processing raises the stakes further: as more claims are paid without human touch, insurers need real-time scoring at first notice of loss rather than retrospective audits. Detection techniques are shifting from static red-flag rules to machine learning models, graph analytics that expose collusion networks linking claimants, repair shops and medical providers, image forensics for damage photos, and cross-industry contributory databases. Generative AI is a double-edged development, powering both synthetic claim documents and the tools that spot them.
North America leads adoption on data availability and regulatory reporting of suspected fraud, Europe follows with strong uptake in motor markets, and Asia Pacific expands quickly as digital-first insurers scale. Vendors range from insurance-specialist providers to broad analytics houses, keeping the landscape moderately fragmented.
The InsightAce study includes US$ revenue forecasts for all segments and regions across 2026-2035, segment trend analysis, competitive landscape mapping and company profiles.
授權報價
| Single User | $4,500 USD |
| Enterprise / Global Site Licence | $9,500 USD |
目錄 Table of Contents
Chapter 1. Methodology and Scope
1.1. Research Methodology
1.2. Research Scope & Assumptions
Chapter 2. Executive Summary
Chapter 3. Global Insurance Fraud Detection Market Snapshot
Chapter 4. Global Insurance Fraud Detection Market Variables, Trends & Scope
4.1. Market Segmentation & Scope
4.2. Market Drivers
4.3. Market Challenges
4.4. Emerging Trends
4.5. Investment and Funding Analysis
4.6. Industry Analysis - Porter's Five Forces Analysis
4.7. Competitive Landscape and Market Positioning
4.8. Market Opportunity Analysis
Chapter 5. Market Segmentation 1: By Component Estimates & Trend Analysis
5.1. Component & Market Share, 2026 & 2035
5.2. Market Size (Value US$ Mn) & Forecasts and Trend Analysis, 2026 to 2035, by Component:
5.2.1. Solutions
5.2.2. Services
Chapter 6. Market Segmentation 2: By Deployment Estimates & Trend Analysis
6.1. Deployment & Market Share, 2026 & 2035
6.2. Market Size (Value US$ Mn) & Forecasts and Trend Analysis, 2026 to 2035, by Deployment:
6.2.1. Cloud
6.2.2. On-Premise
Chapter 7. Market Segmentation 3: By Application Estimates & Trend Analysis
7.1. Application & Market Share, 2026 & 2035
7.2. Market Size (Value US$ Mn) & Forecasts and Trend Analysis, 2026 to 2035, by Application:
7.2.1. Claims Fraud Analytics
7.2.2. Identity & Application Fraud
7.2.3. Premium Leakage & Underwriting Fraud
7.2.4. Payment & Billing Fraud
Chapter 8. Market Segmentation 4: By Organization Size Estimates & Trend Analysis
8.1. Organization Size & Market Share, 2026 & 2035
8.2. Market Size (Value US$ Mn) & Forecasts and Trend Analysis, 2026 to 2035, by Organization Size:
8.2.1. Large Insurers
8.2.2. Small & Medium Insurers
Chapter 9. Insurance Fraud Detection Market: Regional Estimates & Trend Analysis
9.1. North America
9.1.1. United States
9.1.2. Canada
9.2. Europe
9.2.1. Germany
9.2.2. United Kingdom
9.2.3. France
9.2.4. Italy
9.2.5. Spain
9.2.6. Rest of Europe
9.3. Asia Pacific
9.3.1. China
9.3.2. Japan
9.3.3. India
9.3.4. South Korea
9.3.5. Australia
9.3.6. Southeast Asia
9.3.7. Rest of Asia Pacific
9.4. Latin America
9.4.1. Brazil
9.4.2. Mexico
9.4.3. Rest of Latin America
9.5. Middle East & Africa
9.5.1. GCC Countries
9.5.2. South Africa
9.5.3. Rest of Middle East & Africa
Chapter 10. Competitive Landscape
10.1. Company Market Positioning Analysis
10.2. Strategic Developments (Partnerships, Expansions, Product Launches, M&A)
Chapter 11. Company Profiles
11.1. FRISS B.V.
11.2. Shift Technology SAS
11.3. SAS Institute Inc.
11.4. Fair Isaac Corporation (FICO)
11.5. Verisk Analytics Inc.
11.6. LexisNexis Risk Solutions
11.7. IBM Corporation
11.8. Experian plc
11.9. SymphonyAI (NetReveal)
11.10. SAP SE
11.11. Quantexa Limited
11.12. DataWalk S.A.
11.13. CLARA Analytics Inc.
圖表清單 List of Tables & Figures
Table 1. Global Insurance Fraud Detection Revenue Forecast by Component, 2026-2035 (US$ Mn)
Figure 1. Solutions versus Services Spending Mix, 2026 & 2035
Table 2. Global Insurance Fraud Detection Revenue by Deployment, 2026-2035 (US$ Mn)
Figure 2. Cloud Adoption Curve for Anti-Fraud Analytics
Table 3. Global Insurance Fraud Detection Revenue by Application, 2026-2035 (US$ Mn)
Figure 3. Claims Fraud Analytics versus Underwriting-Stage Screening Trends
Table 4. Global Insurance Fraud Detection Revenue by Organization Size, 2026-2035 (US$ Mn)
Figure 4. Fraud Leakage Impact on Loss Ratios: Driver Analysis
Table 5. North America Insurance Fraud Detection Revenue by Country, 2026-2035 (US$ Mn)
Figure 5. Graph Analytics and Machine Learning Technique Adoption Roadmap
Table 6. Europe Insurance Fraud Detection Revenue by Country, 2026-2035 (US$ Mn)
Figure 6. Asia Pacific Insurance Fraud Detection Growth Opportunity Analysis
Table 7. Asia Pacific Insurance Fraud Detection Revenue by Country, 2026-2035 (US$ Mn)
Figure 7. Competitive Positioning of Key Insurance Fraud Detection Vendors
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