2026 年至 2032 年保險詐欺偵測市場（按線路類型、應用和地區分類）

2026-2032年保險詐欺偵測市場評估

保險詐欺案件的增加，包括產物保險、意外險、健康險、車險和其他險種的虛假索賠，是推動保險詐欺偵測市場發展的主要因素。隨著犯罪分子的手段越來越精明，保險公司正在尋找尖端的方法來檢測和預防詐騙活動。根據 Verified Market Research 分析師估計，2024 年保險詐欺檢測市場的價值約為 46.4 億美元，預計在預測期內將達到 235.7 億美元。

虛假索賠對保險公司造成的財務損失日益增加，推動了保險詐欺偵測技術市場的發展，因此需要創新的檢測策略。隨著監管要求的不斷提高以及消費者對公開性和效率的期望不斷提高，保險公司正在投資巨量資料分析和人工智慧等創新技術，以改善詐欺檢測技術。這些積極主動的策略不僅有助於降低風險和成本，還能提升保險業的信任度和誠信度。這將推動市場在2026年至2032年間以24.85%的複合年成長率成長。

保險詐欺偵測市場定義/概述

保險詐欺偵測是偵測和預防保險業詐欺活動的過程，例如虛假保險索賠、誇大損失、製造事故以及在簽發保單時提供虛假資訊。人工智慧、機器學習和預測分析等先進技術使保險公司能夠快速且準確地分析大量數據，幫助他們即時發現可能預示詐欺活動的趨勢和異常。透過有效的詐欺偵測系統，保險公司可以大幅減少財務損失，提高索賠處理效率，並維護客戶信心。

推動保險詐欺偵測市場成長的關鍵因素有哪些？

保險詐欺事件的不斷增加是詐騙偵測市場發展的主要驅動力。根據「制止保險詐欺聯盟」統計，光是在美國，保險詐欺每年造成的損失就超過3,086億美元。美國聯邦調查局（FBI）估計，保險詐欺（非健康保險）每年造成的總損失超過400億美元，導致美國家庭平均多支付400至700美元的保險費。這種日益成長的威脅促使保險公司投資於先進的詐騙偵測系統。

在詐欺偵測系統中利用人工智慧和機器學習，可以提高其識別複雜詐欺趨勢的能力。根據 Gartner 預測，到 2025 年，75% 的企業應用程式將整合人工智慧和機器學習技術，用於詐欺偵測和其他安全用例。隨著企業尋求更有效率、更準確的解決方案，此類技術創新正在推動保險詐欺偵測市場的發展。

此外，監管審查和合規要求的不斷加強，也促使保險公司建立有效的詐欺偵測系統。根據美國全國保險監督官協會 (NAIC) 統計，美國 48 個州、哥倫比亞特區美國維京群島已根據 NAIC 的《保險詐欺預防示範法》通過立法，要求保險公司實施詐騙預防計畫。反詐欺法律的不斷湧現，也推動了保險業對先進詐欺偵測技術的需求。

推動保險詐欺偵測市場需求的挑戰有哪些？

過時的內部詐欺檢測系統是保險詐欺檢測市場的重大瓶頸。許多保險公司仍依賴過時的系統和手動流程，導致詐欺偵測效率低且容易出錯。這些過時的系統缺乏即時資料處理所需的互聯互通，無法快速偵測複雜的詐騙方案。因此，依賴這些技術會降低詐欺偵測工作的整體有效性，並增加財務損失的風險。

此外，資料隱私問題也是保險詐欺偵測市場發展的一大障礙。隨著敏感個人資訊處理的日益增多，保險公司必須遵守嚴格的資料保護和隱私要求。遵守這些法規會阻礙現代詐欺偵測技術的使用，因為保險公司必須準確識別詐欺性索賠，同時確保其系統不會違反個人資訊保護法。這種權衡之策限制了市場的成長潛力，並減緩了新解決方案的採用。

目錄

第1章 引言

• 市場定義
• 市場區隔
• 調查方法

第2章執行摘要

• 主要發現
• 市場概覽
• 市場亮點

第3章市場概述

• 市場規模和成長潛力
• 市場趨勢
• 市場促進因素
• 市場限制
• 市場機會
• 波特五力分析

第4章保險詐欺偵測市場（依保險類型）

• 健康保險
• 產物保險
• 人壽保險

第5章保險詐欺偵測市場（按應用）

• 保險詐騙
• 身分盜竊
• 支付和帳單詐騙
• 洗錢
• 其他

第6章區域分析

• 北美洲
• 美國
• 加拿大
• 墨西哥
• 歐洲
• 英國
• 德國
• 法國
• 義大利
• 亞太地區
• 中國
• 日本
• 印度
• 澳洲
• 拉丁美洲
• 巴西
• 阿根廷
• 智利
• 中東和非洲
• 南非
• 沙烏地阿拉伯
• 阿拉伯聯合大公國

第7章市場動態

• 市場促進因素
• 市場限制
• 市場機會
• COVID-19 市場影響

第8章 競爭態勢

• 主要企業
• 市場佔有率分析

第9章 公司簡介

• SAS Institute
• IBM Corporation
• FICO（Fair Isaac Corporation）
• BAE Systems
• LexisNexis Risk Solutions
• ACI Worldwide
• Fiserv, Inc.
• SAP SE
• Experian plc
• RSA Security LLC
• Verisk Analytics, Inc.
• Shift Technology

第10章 市場展望與機會

• 新興技術
• 未來市場趨勢
• 投資機會

第11章 附錄

• 簡稱列表
• 來源和參考文獻

Insurance Fraud Detection Market Valuation - 2026-2032

The growing number of insurance fraud cases, including fictitious claims for property, health, auto, and other insurance kinds, is the main factor propelling the insurance fraud detection market. As criminals become savvier, insurance companies are looking for cutting-edge ways to detect and prevent fraudulent activity. According to the analyst from Verified Market Research, the insurance fraud detection market is estimated to reach a valuation of USD 23.57 Billion over the forecast subjugating around USD 4.64 Billion valued in 2024.

Increased financial losses to insurers from false claims are driving the market for insurance fraud detection technologies. This has led to a greater need for creative detection strategies. As regulatory demands mount and consumer expectations for openness and efficiency rise, insurance companies are investing in innovative technologies like big data analytics and artificial intelligence to improve their fraud detection skills. This proactive strategy not only helps to mitigate risks and save costs, but it also promotes confidence and integrity in the insurance industry. It enables the market to grow at a CAGR of 24.85% from 2026 to 2032.

Insurance Fraud Detection Market: Definition/ Overview

Insurance fraud detection is the process of detecting and preventing fraudulent activity in the insurance sector, such as false claims, exaggerated losses, staged accidents, and misrepresentation of information during policy issuance. It entails the use of advanced technologies such as artificial intelligence, machine learning, and predictive analytics to rapidly and correctly analyze massive volumes of data, allowing insurers to detect trends and anomalies suggestive of fraudulent conduct in real time. Insurance businesses that deploy effective fraud detection systems can dramatically minimize financial losses, enhance claim processing efficiency, and maintain client trust.

What are the Key Factors Driving the Growth of the Insurance Fraud Detection Market?

The increased incidence of insurance fraud is a major driver of the fraud detection market. According to the Coalition Against Insurance Fraud, insurance fraud costs more than $308.6 billion a year in the United States alone. The FBI believes that the entire cost of insurance fraud (non-health insurance) is more than USD 40 Billion each year, costing the average American household between $400 and $700 in higher premiums. This increased threat is prompting insurers to invest in advanced fraud detection systems.

The use of AI and machine learning in fraud detection systems improves the ability to recognize complicated fraud trends. According to Gartner, by 2025, 75% of enterprise apps will integrate AI and machine learning technology for fraud detection and other security use cases. This technological innovation is propelling the insurance fraud detection market forward as businesses seek more efficient and accurate solutions.

Furthermore, the increasing regulatory scrutiny and compliance requirements are prompting insurance businesses to build effective fraud detection systems. The National Association of Insurance Commissioners (NAIC) says that 48 states, the District of Columbia, and the United States Virgin Islands have passed legislation based on the NAIC Insurance Fraud Prevention Model Act, which mandates insurers to implement anti-fraud programs. The widespread adoption of anti-fraud laws is driving up demand for advanced fraud detection technologies in the insurance business.

What are the Challenges Influencing the Demand for Insurance Fraud Detection Market?

Outdated internal fraud detection systems are a key impediment in the insurance fraud detection market. Many insurance businesses continue to rely on antiquated systems and manual processes, resulting in inefficiencies and mistakes in detecting fraudulent activities. These antiquated systems lack the interconnectivity required for real-time data processing, making it impossible to detect sophisticated fraud schemes quickly. As a result, dependence on these methods reduces the overall effectiveness of fraud detection efforts and raises the danger of financial losses.

Furthermore, data privacy concerns are another major impediment to the insurance fraud detection market. With the increased processing of sensitive personal information, insurance businesses must adhere to severe data protection and privacy requirements. Compliance with these restrictions hampers the use of modern fraud detection technology, as insurers must verify that their systems do not breach privacy laws while accurately identifying fraudulent claims. This balancing act slows the adoption of novel solutions while limiting the market's growth potential.

Category-Wise Acumens

How Does the High Incidence of Fraudulent Claims Drive the Detection of Health Insurance?

According to VMR analysis, the health insurance segment is estimated to dominate the market during the forecast period. The high rate of false claims linked with health insurance is one of the factors driving this dominance. Given the complexities of medical billing and the possibility of overstated claims, health insurers face considerable problems in detecting fraud. This has boosted the demand for sophisticated fraud detection technologies capable of analyzing medical records and billing data to find anomalies and prevent losses.

Governments and regulatory agencies are enforcing stronger requirements to combat healthcare fraud, requiring insurers to use advanced fraud detection systems. Compliance with these requirements not only helps to mitigate risks but also improves health insurers' overall operational efficiency, which drives up demand for fraud detection systems.

Furthermore, the growing usage of technology in the healthcare business is critical to the expansion of the health insurance fraud detection market. The combination of artificial intelligence, machine learning, and big data analytics allows insurers to process large volumes of data quickly and reliably. This technical development enables real-time monitoring and analysis, considerably increasing the ability to detect and prevent fraudulent activity in health insurance claims.

How does Claims Fraud Account Significant Part of the Insurance Fraud Detection Market?

The claims fraud segment is estimated to dominate the insurance fraud detection market during the forecast period. The rise in the number of false claims is a major reason for the claims fraud segment's growth. As insurance fraud becomes increasingly complex, insurers are under increasing pressure to improve their detection skills. This urgency drives increased investment in new technologies and analytics for detecting and mitigating fraudulent claims, guaranteeing financial stability, and protecting honest policyholders.

Technological improvements in data analytics and machine learning have considerably boosted the claims fraud segment. These technologies allow insurers to swiftly evaluate massive volumes of data, detecting trends and abnormalities that suggest probable fraud. As insurers employ more sophisticated detection systems, their capacity to quickly handle and evaluate claims improves, cementing the claims fraud segment's market leadership.

Furthermore, regulatory concerns and the requirement for compliance contribute to the claims fraud segment's prevalence. To comply with regulatory requirements and avoid penalties, insurers must increasingly demonstrate sophisticated fraud detection measures. This legal climate forces businesses to prioritize claims fraud detection, resulting in increasing investments in solutions that can successfully identify and resolve false claims, strengthening the segment's market position.

Country/Region-wise Acumens

How Does the High Incidence of Insurance Fraud Cases in North America Influence the Market?

According to VMR analyst, North America is estimated to dominate the insurance fraud detection market during the forecast period. North America, particularly the United States, experiences a high rate of insurance fraud, necessitating the development of improved detection technologies. According to the Coalition Against Insurance Fraud, insurance fraud costs Americans at least USD 308.6 Billion every year. The National Insurance Crime Bureau (NICB) finds that suspicious claims grew by 26.7% between 2017 and 2019. Due to the high occurrence of fraud incidents, regional insurance companies are investing extensively in fraud detection systems.

Furthermore, the regulatory landscape in North America, particularly in the United States, is requiring insurance companies to build robust fraud detection systems. According to the National Association of Insurance Commissioners (NAIC), 48 states in the United States have passed anti-fraud legislation based on the NAIC's model fraud statute. Also, the Insurance Information Institute notes that 42 states, including the District of Columbia, have established fraud bureaus to detect and prosecute insurance fraud. This regulatory pressure is a major driving force behind the deployment of advanced fraud detection technology in the North American market.

What are the Main Drivers of the Market in the Asia Pacific Region?

The Asia Pacific region is estimated to exhibit the highest growth within the insurance fraud detection market during the forecast period. The Asia Pacific region's insurance business is rapidly expanding, increasing the demand for fraud detection technologies. According to a Swiss Re Institute analysis, rising Asian insurance markets are predicted to increase by 8.5% by 2024, exceeding the global average. China, the region's largest market, saw insurance premiums rise by 4.7% in 2021, totaling USD 700 billion. The fast expansion of the insurance sector increases the risk of fraud, generating the need for improved detection technologies.

Furthermore, the expansion of digital insurance platforms in the Asia Pacific opens up new opportunities for fraud, needing more advanced detection systems. According to a Bain & Company analysis, digital insurance penetration in Southeast Asia is expected to increase to 11% by 2025, from 1.5% in 2019. According to the China Banking and Insurance Regulatory Commission, internet insurance premiums increased by 13.9% year on year in 2020, reaching RMB 298 billion (about USD 46 billion). This digital shift is driving insurers to invest in AI-powered fraud detection systems to address increasing cyber fraud threats.

Competitive Landscape

The competitive landscape of the insurance fraud detection market is characterized by a dynamic interplay between established players and rising startups, both of which strive to innovate and improve fraud detection skills. Companies are rapidly using modern technologies like artificial intelligence, machine learning, and big data analytics to improve their fraud detection systems, resulting in more effective identification and prevention of fraudulent activity.

Some of the prominent players operating in the insurance fraud detection market include:

SAS Institute

IBM Corporation

FICO

BAE Systems

LexisNexis Risk Solutions

ACI Worldwide

Fiserv, Inc.

SAP SE

Experian plc

RSA Security LLC

Verisk Analytics, Inc.

Shift Technology

Insurance Fraud Detection Latest Developments:

In May 2023, Verisk, a provider of insurance data analytics, partnered with CCC Intelligent Solutions, a cloud platform serving the property and casualty (P&C) insurance market. This collaboration aims to enhance insurance fraud risk management by integrating Verisk's claims fraud detection analytics with CCC's claims platform.

In March 2023, Shift Technology, a global provider of AI-driven decision automation solutions for insurers, expanded its partnership with the General Insurance Association of Singapore (GIA). This expansion involves extending the use of Shift Claims Fraud Detection to include travel insurance fraud detection. The initiative builds upon the success of GIA's Fraud Management System (FMS) and aims to enhance fraud detection capabilities across the sector. This collaboration enables GIA member insurers to effectively detect and manage fraudulent claims, particularly within the growing global travel insurance segment.

Insurance Fraud Detection Market, By Category

• Insurance Type:
• Health
• Property & Casualty
• Life Insurance
• Application:
• Claims Fraud
• Identity Theft
• Payment and Billing Fraud
• Money Laundering
• Others
• Region:
• North America
• Europe
• Asia-Pacific
• South America
• Middle East & Africa

TABLE OF CONTENTS

1. INTRODUCTION

• Market Definition
• Market Segmentation
• Research Methodology

2. Executive Summary

• Key Findings
• Market Overview
• Market Highlights

3. Market Overview

• Market Size and Growth Potential
• Market Trends
• Market Drivers
• Market Restraints
• Market Opportunities
• Porter's Five Forces Analysis

4. Insurance Fraud Detection Market, By Insurance Type

• Health
• Property and Casualty
• Life Insurance

5. Insurance Fraud Detection Market, By Application:

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

6. Regional Analysis

• North America
• United States
• Canada
• Mexico
• Europe
• United Kingdom
• Germany
• France
• Italy
• Asia-Pacific
• China
• Japan
• India
• Australia
• Latin America
• Brazil
• Argentina
• Chile
• Middle East and Africa
• South Africa
• Saudi Arabia
• UAE

7. Market Dynamics

• Market Drivers
• Market Restraints
• Market Opportunities
• Impact of COVID-19 on the Market

8. Competitive Landscape

• Key Players
• Market Share Analysis

9. Company Profiles

• SAS Institute
• IBM Corporation
• FICO (Fair Isaac Corporation)
• BAE Systems
• LexisNexis Risk Solutions
• ACI Worldwide
• Fiserv, Inc.
• SAP SE
• Experian plc
• RSA Security LLC
• Verisk Analytics, Inc.
• Shift Technology

10. Market Outlook and Opportunities

• Emerging Technologies
• Future Market Trends
• Investment Opportunities

11. Appendix

• List of Abbreviations
• Sources and References