全球诈欺侦测与预防，2025-2030 年

人工智慧 (AI) 正在推动诈欺侦测和预防 (FDP) 解决促进者的变革性成长。

随着人工智慧 (AI)、机器学习 (ML)、行为生物辨识和生成式人工智慧等先进技术的应用，全球诈欺侦测与预防 (FDP) 市场正在经历变革。Frost & Sullivan的全面分析探讨了这些创新如何重塑 FDP 格局，帮助企业应对日益复杂的诈欺威胁，同时确保合规性并提升客户体验。

预计2024年至2030年间，诈欺侦测与预防（FDP）市场将以16.6%的复合年增长率成长，到2030年全球市场规模将达到471.6亿美元。这一增长主要得益于数位交易的爆炸性增长、诈骗即服务（FaaS）的兴起以及合成身份和深度造假诈骗的出现。为了应对这些挑战，企业正在采用人工智慧驱动的FDP解决方案，这些方案能够提供即时异常检测、自适应学习以及跨平台无缝整合。

该研究按地区、行业垂直领域和公司规模对市场进行细分，发现北美和欧洲已成为领先的采用地区，这主要得益于严格的法规结构和较高的数位化成熟度。亚太和拉丁美洲预计将实现更快的成长，这得益于不断提高的数位化渗透率和不断变化的法规环境。资源有限的中小型企业 (SME) 正在转向模组化、基于 SaaS 的 FDP 解决方案，以降低风险并确保业务永续营运。

诈欺侦测流程 (FDP) 的关键组成部分包括了解客户 (KYC)、了解使用者 (KYU)、诈欺分析和反洗钱 (AML) 技术。竞争格局由 100 多家供应商组成，主要参与者包括 LexisNexis Risk Solutions、NICE Actimize、Entrust、Akamai、Forter 和 BioCatch，它们在银行、金融和保险 (BFSI)、零售、政府和媒体等垂直行业中提供差异化的功能。

客户价值链压缩、颠覆性技术和产业融合等策略要务正在重塑诈欺防制平台 (FDP) 生态系统。 Visa 收购 Featurespace 和 Entrust 收购 Onfido 等併购活动显示了市场的强劲势头以及向整合式端到端诈欺预防平台发展的强劲动力。

报告最后针对首席资讯安全(CISO) 提出了具体建议，强调了动态欺诈管理、合规性、可解释人工智慧和可扩展架构的重要性。随着欺诈手段的不断演变，企业必须优先考虑智慧性、适应性和协作性，才能在数位时代生存和发展。

本报告解答的关键问题：

1. 2024年至2030年推动全球FDP市场成长的关键因素为何？

2. 人工智慧、机器学习和生物识别等先进技术如何改变诈欺侦测和预防？

3. 预计哪些地区和产业垂直领域将推动 FDP 的采用和收入成长？

4. 阻碍FDP解决方案普及的主要挑战和限制因素是什么？

5. FDP领域的主要供应商有哪些？他们的产品有哪些特色？

分析师：迪帕莉·萨特

报告摘要：诈欺侦测与预防市场

随着各组织机构采用人工智慧驱动的分析和机器学习驱动的防御系统来打击复杂的诈骗手段，全球诈欺侦测和预防市场正在快速扩张。该市场在2024年的估值为418亿美元，预计到2030年将达到852亿美元，预测期内的复合年增长率（CAGR）为12.8%。

人工智慧在诈欺侦测和预防领域的应用，正在改变数位支付、银行、保险和电子商务平台监控、侦测和缓解威胁的方式。

主要市场特征

• 人工智慧带来的变革：人工智慧驱动的诈欺侦测和预防市场正在从静态的、基于规则的系统转向能够进行即时异常检测和行为分析的自适应、自学习模型。
• 快速数位化：线上支付、金融科技平台和跨境交易的激增，使得智慧诈欺侦测和预防解决方案的迫切需求日益增长。
• 云端采用正在激增：基于云端的 FDP 系统正在主导新的采用，提供扩充性、柔软性以及与核心企业系统的无缝整合。
• 监管日益严格：PSD2、GDPR 和 AML 指令等合规框架正在推动对具有透明度和可解释性的 AI 驱动型诈欺侦测解决方案的投资。
• 产业趋势：银行、金融和保险业 (BFSI) 将推动市场需求（占 38% 的份额），而零售业、电子商务和政府部门将继续采用人工智慧增强的监控和身分验证技术。
• 区域领导地位：北美在全球收入份额中领先，而亚太地区是成长最快的地区，这得益于金融科技、数位身分倡议和政府电子安全计画的扩张。
• 创新重点：领先的供应商（包括 IBM、FICO、SAS 和 LexisNexis Risk Solutions）正在优先考虑将图分析、行为生物识别和深度学习整合到主动诈欺预防中。

市场规模及预测

• 2024年市场规模：418亿美元
• 2030年预测：852亿美元
• 2024-2030年复合年增长率：12.8%
• 重点产业：银行、金融服务和保险业（BFSI）
• 成长最快的细分市场：基于云端、人工智慧驱动的FDP解决方案

市场概览：诈欺侦测与预防市场

随着企业面临日益复杂的网路威胁和身分相关风险，诈欺侦测和预防市场正经历前所未有的成长。数位转型、云端迁移和线上交易的激增扩大了诈欺攻击的目标范围，因此需要强大、智慧且扩充性的解决方案。

目前，防御模式正从被动防御转向人工智慧驱动的诈欺侦测和预防策略，这些策略利用深度学习、巨量资料分析和即时监控。这些系统透过分析行为模式、装置指纹和交易历史记录，每秒处理数百万个资料点，从而识别异常情况。

银行、金融服务和保险（BFSI）、零售和电子商务、电信以及政府等关键产业正在投资将人工智慧应用于诈欺检测和预防领域，以提高决策准确性并减少误报。在BFSI领域，人工智慧驱动的风险评分、网路行为分析和交易监控已成为打击帐户盗用、洗钱和身分盗窃等犯罪活动的关键工具。

诈欺侦测市场正加速采用基于云端的诈欺侦测和预防解决方案，使企业能够在最大限度降低基础设施成本的同时，扩展威胁分析规模。人工智慧的整合进一步提高了检测速度、准确性和自动化能力。诈欺侦测即服务 (FDaaS) 也正在成为中小企业可行的模式。

监管环境持续演变，GDPR、PSD2、PCI DSS 和 CCPA 等资料保护和合规框架正在影响解决方案的设计。供应商正越来越多地将合规智慧和可解释人工智慧融入其係统中，以满足审核和管治要求。

随着数位商务的蓬勃发展，人工智慧驱动的诈骗侦测和预防市场参与者正致力于提供全通路保护，涵盖行动支付、个人汇款和数位银行平台。人工智慧、区块链和高级分析技术的结合有望透过确保数据不可篡改性和提高欺诈追踪能力，彻底革新风险管理。

展望未来，随着数位支付交易量的成长、网路保险的普及以及联邦学习模型的融合，诈欺侦测和预防市场预计将进一步扩大。这些发展标誌着诈欺预防正迈向预防性、预测性和自主性的新时代。

分析范围：诈欺侦测与预防市场

本报告分析了全球诈欺侦测和预防市场在主要垂直领域、部署模式和技术方面的状况，并深入分析了人工智慧驱动的诈欺侦测和预防解决方案的采用趋势及其对全球风险管理策略的影响。

地理涵盖范围：北美、欧洲、亚太地区、拉丁美洲、中东和非洲

调查期间：2022-2030年

基准年：2024年

预测期：2025-2030年

货币单位：美元

此分析涵盖部署在本地和云端环境中的诈欺侦测和预防解决方案（包括身分验证、认证、资料分析、诈欺监控和报告系统）。它还包括由人工智慧和机器学习驱动的诈欺检测市场的细分，涵盖银行、金融和保险 (BFSI)、零售、电子商务、保险、政府、医疗保健和通讯业。

调查方法包括对技术提供者、系统整合商和企业安全团队进行一手访谈，并辅以来自监管文件、财务报告和网路安全组织的二手资料。预测是基于自下而上的估算，并透过技术采纳和企业采纳资料检验。

本报告提供了人工智慧在诈欺侦测和预防市场生态系统中的市场动态、技术创新、竞争基准和成长机会的可操作见解。

收入预测：诈欺侦测与预防市场

预计到2030年，诈欺侦测和预防市场规模将从2024年的418亿美元成长至852亿美元，复合年增长率达12.8%，几乎翻倍。推动市场成长的关键因素包括人工智慧驱动的诈欺侦测和预防系统的快速普及、线上交易的兴起以及监管机构对诈欺风险管理的执法力度加大。

按组件划分：

• 解决方案：预计到 2030 年，先进分析技术和深度学习的应用市场规模将达到 563 亿美元。
• 服务业：随着企业将风险管理专业知识外包，服务业将以 11.2% 的复合年增长率成长。

按地区划分：

• 北美：在企业网路安全成熟度方面继续保持主导。
• 亚太地区：预计在快速数位化和金融科技投资的推动下，将以 15% 的复合年增长率成长。

人工智慧与机器学习的融合实现了即时数据关联和异常检测，显着降低了误报率。专注于采用可解释人工智慧和持续学习演算法的诈欺侦测和预防解决方案的供应商正在获得竞争优势。

随着终端用户越来越重视自动化、预测分析和合规的诈欺预防架构，人工智慧在诈欺侦测和预防领域的市场预计将推动未来的投资。

细分市场分析：诈欺侦测与预防市场

诈欺侦测和预防市场按组件、部署模型、组织规模、垂直行业和地区进行细分。

按组件划分：

• 解决方案：身分验证、认证、诈欺分析和报告工具将占据主导地位，到 2024 年将占收入的 65% 以上。
• 服务：系统复杂性的增加和对客製化整合的需求正在推动託管服务和专业服务的成长。

依部署模式：

• 基于云端的解决方案具有可扩展性、人工智慧整合和 API 驱动的柔软性，并以 14.3% 的复合年增长率快速成长。
• 在需要资料主权的受监管产业中，本地部署仍然是首选方案。

按组织规模划分：

• 大型企业主导诈欺侦测即服务 (FDaaS) 平台的普及，但中小企业也透过该平台迅速采用诈欺侦测即服务 (FDaaS) 平台。

按行业划分：

• 金融服务业（BFSI）占据了最大的市场份额（38%），这主要得益于反洗钱和即时交易监控。
• 零售和电子商务行业也纷纷效仿，专注于帐户保护和支付诈骗检测。
• 政府和医疗保健部门正越来越多地采用人工智慧驱动的诈欺检测和预防解决方案，以进行身分管理和公共。

按地区划分：

• 北美市场主导，欧洲市场紧随其后，而亚太地区由于数位银行和金融科技的扩张，成为成长最快的市场。

这种细分突显了人工智慧在跨产业诈欺侦测和预防市场应用中的策略整合，重塑了组织在全球范围内识别、预防和减轻诈欺的方式。

成长要素：诈欺侦测与预防市场

• 数位交易的成长：电子商务、网路银行和数位钱包的快速发展增加了诈欺风险，并催生了对自动化预防系统的需求。
• 人工智慧与机器学习的融合：人工智慧检测和预防市场中的人工智慧驱动演算法正在提高准确性，并实现自适应风险评分和异常检测。
• 严格的监管要求：PSD2、AMLD5 和 GDPR 等国际法规要求金融机构实施合规且透明的诈欺侦测和预防解决方案。
• 预测分析和行为生物辨识技术的兴起：基于人工智慧的行为分析模型正在提高即时诈欺侦测的效率，同时降低误报率。
• 云端采用率不断提高：向云端基础设施的转变能够实现人工智慧模型的可扩展性和持续改进，从而推动全球市场扩张。

成长抑制因素：诈欺侦测与预防市场

• 实施成本高昂：在诈欺侦测和预防市场系统中实施先进的人工智慧需要对基础设施和熟练的人力资源进行大量投资。
• 整合复杂性：传统 IT 环境为现代诈欺侦测和预防解决方案的无缝部署带来了挑战，尤其是在跨国组织中。
• 资料隐私问题：如何在GDPR和CCPA等资料保护法规的框架下平衡即时分析与合规性仍然是一项挑战。
• 技能短缺：缺乏人工智慧和资料科学专业知识阻碍了发展中市场对基于人工智慧的诈欺检测模型的有效管理。

竞争格局：诈欺侦测与预防市场

诈欺检测和预防市场是全球技术领导者和新兴人工智慧创新者的聚集地。主要参与者包括 IBM 公司、FICO、SAS 研究所、LexisNexis Risk Solutions、NICE Actimize、ACI Worldwide、BAE Systems 和 Experian。到 2024 年，这些公司将占据全球 60% 以上的收入份额。

供应商正在加快将人工智慧驱动的分析和即时行为模式融入其诈欺侦测解决方案的步伐，IBM 和 SAS 等公司专注于混合云端和人工智慧编配能力，而 FICO 和 NICE Actimize 则在自适应智慧和决策自动化方面投入更多资金。

近期併购活动显示产业整合趋势日益明显，网路安全公司纷纷收购专注于诈欺侦测和预防解决方案的人工智慧Start-Ups，以提高演算法的准确性并拓展其在各行业的覆盖范围。金融科技公司与人工智慧解决方案供应商之间的策略联盟也在推动创新。

亚太和中东地区的区域企业正专注于数位身分管理和交易认证等细分应用，从而在诈欺侦测市场创造新的机会。

随着诈骗手段不断演变，供应商正优先考虑持续模型训练、可解释人工智慧和联邦学习，以确保准确性和合规性。未来的竞争优势将取决于供应商能否提供端到端的、人工智慧驱动的生态系统，从而实现敏捷性、透明度和可衡量的诈骗风险降低。

目录

调查范围

• 分析范围
• 分析范围 – FDP 组成部分
• 分析范围 – 近期趋势 –併购
• 分析范围—诈欺类型
• 分析范围 – 技术趋势时间线
• 分割

成长环境：诈欺侦测与预防的转型

• 为什么经济成长变得越来越困难？
• The Strategic Imperative 8（TM）
• 三大关键策略挑战对诈欺侦测与预防 (FDP) 产业的影响

诈欺检测和预防生态系统

• 竞争环境
• 主要竞争对手
• 主要特点
• 主要垂直市场

诈欺侦测和预防领域的成长动力

• 成长指标
• 成长要素
• 成长要素分析
• 成长限制阻碍因素
• 成长阻碍因素分析
• 预测考量
• 收入预测
• 按地区分類的收入预测
• 各行业收入预测
• 按业务部门的收入预测
• 收入预测分析
• 按地区分類的收入预测分析
• 产业收入预测分析
• 按客户群分類的收入预测分析
• 价格趋势和预测分析
• 收益分成
• 收入份额分析

成长动力：北美

• 成长指标
• 收入预测
• 各行业收入预测
• 按业务部门的收入预测
• 预测分析

成长动力：欧洲

• 成长指标
• 收入预测
• 各行业收入预测
• 按业务部门的收入预测
• 预测分析

成长动力：亚太地区

• 成长指标
• 收入预测
• 各行业收入预测
• 按业务部门的收入预测
• 预测分析

成长动力：拉丁美洲

• 成长指标
• 收入预测
• 各行业收入预测
• 按业务部门的收入预测
• 预测分析

成长动力：中东和非洲

• 成长指标
• 收入预测
• 各行业收入预测
• 按业务部门的收入预测
• 预测分析

首席资讯安全长的洞察

• 首席资讯安全官的洞见－提升准备能力
• CISO洞察 - FDP趋势

成长机会领域

• 成长机会 1：与支付生态系的整合
• 成长机会 2：网路智能
• 成长机会 3：文件检验
• 成长机会 4：深度造假识别
• 成长机会 5：产业专用的解决方案

附录与未来工作

• 成长机会带来的益处和影响
• 未来计划
• 附件清单
• 免责声明

Artificial Intelligence as an Enabler of Fraud and FDP Solutions is Driving Transformational Growth

The global Fraud Detection and Prevention (FDP) market is evolving as it undergoes transformation with the adoption of advanced technologies such as artificial intelligence (AI), machine learning (ML), behavioral biometrics, and generative AI. Frost & Sullivan's comprehensive analysis explores how these innovations are reshaping the FDP landscape, enabling enterprises to combat increasingly sophisticated fraud threats while ensuring compliance and enhancing customer experience.

Between 2024 and 2030, the FDP market is projected to grow at a compound annual growth rate (CAGR) of 16.6%, reaching a global revenue of $47.16 billion by 2030. This growth is fueled by the proliferation of digital transactions, the rise of fraud-as-a-service (FaaS), and the emergence of synthetic identities and deepfake-enabled scams. Enterprises are responding by deploying AI-powered FDP solutions that offer real-time anomaly detection, adaptive learning, and seamless integration across platforms.

The study segments the market by region, vertical, and business size, highlighting North America and Europe as leading adopters due to stringent regulatory frameworks and high digital maturity. Asia Pacific and Latin America are poised for accelerated growth, driven by increasing digital penetration and evolving regulatory landscapes. Small and medium enterprises (SMEs), often resource-constrained, are turning to modular, SaaS-based FDP solutions to mitigate risk and ensure business continuity.

Key components of FDP include Know Your Customer (KYC), Know Your User (KYU), fraud analytics, and anti-money laundering (AML) technologies. The competitive environment is marked by over 100 vendors, with notable players such as LexisNexis Risk Solutions, NICE Actimize, Entrust, Akamai, Forter, and BioCatch offering differentiated capabilities across verticals like BFSI, retail, government, and media.

Strategic imperatives such as customer value chain compression, disruptive technologies, and industry convergence are reshaping the FDP ecosystem. Mergers and acquisitions, including Visa's acquisition of Featurespace and Entrust's acquisition of Onfido, underscore the market's dynamism and the push toward integrated, end-to-end fraud prevention platforms.

The report concludes with actionable insights for CISOs, emphasizing the need for dynamic fraud management, regulatory alignment, explainable AI, and scalable architectures. As fraud tactics evolve, organizations must prioritize intelligence, adaptability, and collaboration to survive and thrive in the digital age.

Key questions answered by this report:

1. What are the primary drivers of growth in the global FDP market between 2024 and 2030

2. How are advanced technologies like AI, ML, and biometrics transforming fraud detection and prevention?

3. Which regions and industry verticals are expected to lead FDP adoption and revenue growth?

4. What are the major challenges and restraints hindering the adoption of FDP solutions?

5. Who are the leading vendors in the FDP space and what differentiates their offerings?

Analyst: Deepali Sathe

Report Summary: Fraud Detection and Prevention Market

The global fraud detection and prevention market is expanding rapidly as organizations deploy AI-powered analytics and machine learning-driven defense systems to counter sophisticated fraud schemes. Valued at USD 41.8 billion in 2024, the market is projected to reach USD 85.2 billion by 2030, registering a CAGR of 12.8% during the forecast period.

Adoption of AI in fraud detection and prevention is transforming how enterprises monitor, detect, and mitigate threats across digital payments, banking, insurance, and eCommerce platforms.

Key Market Highlights

• AI transformation: The AI-powered fraud detection and prevention market is shifting from static rule-based systems to adaptive, self-learning models capable of real-time anomaly detection and behavioral analytics.
• Rapid digitalization: The surge in online payments, fintech platforms, and cross-border transactions increases the urgency for intelligent fraud detection and prevention solutions.
• Cloud adoption surge: Cloud-based FDP systems dominate new deployments, offering scalability, flexibility, and seamless integration with core enterprise systems.
• Regulatory enforcement: Compliance frameworks like PSD2, GDPR, and AML directives are driving investment in transparent and explainable AI-driven fraud detection market solutions.
• Sectoral strength: BFSI leads market demand (38% share), followed by retail, eCommerce, and government sectors adopting AI-enhanced monitoring and authentication technologies.
• Regional leadership: North America leads global revenue share; however, Asia-Pacific is the fastest-growing region, driven by fintech expansion, digital identity initiatives, and government e-security programs.
• Innovation focus: Leading vendors - including IBM, FICO, SAS, and LexisNexis Risk Solutions - are prioritizing graph analytics, behavioral biometrics, and deep learning integration for proactive fraud defense.

Market Size & Forecast

• 2024 Market Value: USD 41.8 Billion
• 2030 Forecast Value: USD 85.2 Billion
• CAGR (2024-2030): 12.8%
• Top Vertical: Banking, Financial Services, and Insurance (BFSI)
• Fastest Growing Segment: Cloud-based, AI-powered FDP solutions

Market Overview: Fraud Detection and Prevention Market

The fraud detection and prevention market is witnessing unprecedented growth as organizations confront increasingly sophisticated cyber threats and identity-related risks. Digital transformation, cloud migration, and the surge in online transactions have expanded the fraud attack surface, necessitating robust, intelligent, and scalable solutions.

A significant shift is underway from reactive defense models to AI-powered fraud detection and prevention market strategies that leverage deep learning, big data analytics, and real-time monitoring. These systems identify anomalies by analyzing behavioral patterns, device fingerprints, and transaction histories across millions of data points per second.

Key industry verticals - including banking, financial services and insurance (BFSI), retail and eCommerce, telecommunications, and government - are investing in AI in fraud detection and prevention market applications to enhance decision-making accuracy and reduce false positives. Within BFSI, AI-driven risk scoring, network behavior analytics, and transaction monitoring have become essential tools to combat account takeover, money laundering, and identity theft.

In the fraud detection market, the adoption of cloud-based fraud detection and prevention solutions has accelerated, enabling enterprises to scale threat analytics while minimizing infrastructure costs. AI integration is further improving detection speed, accuracy, and automation capabilities. Fraud detection-as-a-service (FDaaS) is also emerging as a viable model for small and mid-sized enterprises.

The regulatory landscape continues to evolve, with data protection and compliance frameworks such as GDPR, PSD2, PCI DSS, and CCPA influencing solution design. Vendors are increasingly embedding compliance intelligence and explainable AI within their systems to meet auditability and governance requirements.

As digital commerce expands, AI-powered fraud detection and prevention market players are focusing on omnichannel protection - spanning mobile payments, peer-to-peer transfers, and digital banking platforms. The combination of AI, blockchain, and advanced analytics is expected to revolutionize risk management by ensuring data immutability and enhancing fraud traceability.

Looking ahead, the fraud detection and prevention market will continue to benefit from rising digital payment volumes, cyber insurance adoption, and the integration of federated learning models. These advancements mark a transition toward a proactive, predictive, and autonomous fraud defense era.

Scope of Analysis: Fraud Detection and Prevention Market

This report analyzes the global fraud detection and prevention market across key verticals, deployment models, and technologies. The study provides insights into the adoption trends of AI-powered fraud detection and prevention market solutions and their impact on risk management strategies worldwide.

Geographic Coverage: North America, Europe, Asia-Pacific, Latin America, and the Middle East & Africa

Study Period: 2022-2030

Base Year: 2024

Forecast Period: 2025-2030

Monetary Unit: USD

The analysis covers fraud detection and prevention solutions - including identity verification, authentication, data analytics, fraud monitoring, and reporting systems - deployed across on-premises and cloud environments. The scope also encompasses fraud detection market segments driven by AI and machine learning, covering BFSI, retail, eCommerce, insurance, government, healthcare, and telecommunications industries.

The methodology combines primary interviews with technology providers, system integrators, and enterprise security teams, supported by secondary research from regulatory filings, financial reports, and cybersecurity associations. Forecasting relies on a bottom-up estimation validated through technology penetration rates and enterprise adoption data.

The report delivers actionable intelligence on market dynamics, technological innovation, competitive benchmarking, and growth opportunities within the AI in fraud detection and prevention market ecosystem.

Revenue Forecast: Fraud Detection and Prevention Market

The fraud detection and prevention market is projected to nearly double in value, growing from USD 41.8 billion in 2024 to USD 85.2 billion by 2030, at a CAGR of 12.8%. Growth is primarily driven by the surge in AI-powered fraud detection and prevention market deployments, the rise in online transactions, and regulatory enforcement of fraud risk controls.

By Component:

• Solutions: Expected to reach USD 56.3 billion by 2030, supported by advanced analytics and deep learning adoption.
• Services: Will expand at 11.2% CAGR, as enterprises outsource risk management expertise.

By Region:

• North America: Maintains leadership with strong enterprise cybersecurity maturity.
• Asia-Pacific: Expected to grow at 15% CAGR, fueled by rapid digitalization and fintech investments.

AI and machine learning integration is enabling real-time data correlation and anomaly detection, significantly reducing false positives. Vendors focusing on fraud detection and prevention solutions with explainable AI and continuous learning algorithms are gaining competitive advantage.

The AI in fraud detection and prevention market is expected to dominate future investments, with end users increasingly prioritizing automation, predictive analytics, and compliance-ready fraud defense architectures.

Segmentation Analysis: Fraud Detection and Prevention Market

The fraud detection and prevention market is segmented by component, deployment model, organization size, industry vertical, and region.

By Component:

• Solutions: Identity verification, authentication, fraud analytics, and reporting tools dominate, accounting for over 65% of 2024 revenue.
• Services: Managed and professional services are expanding due to increasing system complexity and demand for customized integration.

By Deployment Model:

• Cloud-based solutions are growing fastest at 14.3% CAGR, offering scalability, AI integration, and API-driven flexibility.
• On-premises deployments remain preferred in regulated sectors requiring data sovereignty.

By Organization Size:

• Large enterprises lead adoption, but SMEs show strong uptake through fraud detection-as-a-service (FDaaS) platforms.

By Industry Vertical:

• BFSI holds the largest market share (38%), driven by anti-money laundering and real-time transaction monitoring.
• Retail & eCommerce follows, focusing on account protection and payment fraud detection.
• Government and healthcare segments are emerging adopters of AI-powered fraud detection and prevention solutions for identity management and public safety.

By Region:

• North America dominates, followed by Europe, while Asia-Pacific is the fastest-growing market due to digital banking and fintech expansion.

This segmentation underscores the strategic integration of AI in fraud detection and prevention market applications across industries, reshaping how organizations identify, prevent, and mitigate fraud globally.

Growth Drivers: Fraud Detection and Prevention Market

Rising Digital Transactions:

The explosion of eCommerce, online banking, and digital wallets has amplified fraud risks, increasing demand for automated prevention systems.

AI and Machine Learning Integration:

AI-driven algorithms in the AI-powered detection and prevention market enhance accuracy, enabling adaptive risk scoring and anomaly detection.

Stringent Regulatory Requirements:

Global mandates such as PSD2, AMLD5, and GDPR compel financial institutions to adopt compliant and transparent fraud detection and prevention solutions.

Emergence of Predictive Analytics and Behavior Biometrics:

AI-based behavioral analytics models are improving real-time fraud detection efficiency and reducing false positive rates.

Increased Cloud Adoption:

The shift to cloud infrastructure enables scalability and continuous AI model improvement, fostering global market expansion.

Growth Restraints: Fraud Detection and Prevention Market

High Implementation Costs:

Deploying advanced AI in fraud detection and prevention market systems requires significant investment in infrastructure and skilled personnel.

Integration Complexity:

Legacy IT environments challenge seamless deployment of modern fraud detection and prevention solutions, especially across multinational organizations.

Data Privacy Concerns:

Balancing real-time analytics with compliance remains a hurdle under data protection laws like GDPR and CCPA.

Skill Shortage:

The lack of AI and data science expertise hinders effective management of AI-based fraud models in developing markets.

Competitive Landscape: Fraud Detection and Prevention Market

The fraud detection and prevention market is highly competitive, featuring global technology leaders and emerging AI innovators. Major players include IBM Corporation, FICO, SAS Institute, LexisNexis Risk Solutions, NICE Actimize, ACI Worldwide, BAE Systems, and Experian. Collectively, these firms account for over 60% of global revenue in 2024.

Vendors are increasingly embedding AI-powered analytics and real-time behavioral models within their fraud detection portfolios. Companies such as IBM and SAS are focusing on hybrid cloud and AI orchestration capabilities, while FICO and NICE Actimize are investing heavily in adaptive intelligence and decision automation.

Recent M&A activity reflects a consolidation trend, with cybersecurity firms acquiring AI start-ups specializing in fraud detection and prevention solutions to enhance algorithmic precision and expand sectoral reach. Strategic collaborations between fintech companies and AI solution providers are also fostering innovation.

Regional players in Asia-Pacific and the Middle East are focusing on niche applications, including digital identity management and transaction authentication, creating new opportunities in the fraud detection market.

As fraud tactics evolve, vendors are prioritizing continuous model training, explainable AI, and federated learning to maintain accuracy and compliance. The future competitive edge will depend on vendors' ability to deliver end-to-end, AI-enabled ecosystems that offer agility, transparency, and measurable fraud risk reduction.

Table of Contents

Research Scope

• Scope of Analysis
• Scope of Analysis-Components of FDP
• Scope of Analysis-Recent Developments - Mergers and Acquisitions
• Scope of Analysis-Types of Fraud
• Scope of Analysis-Technology Trends Timeline
• Segmentation

Growth Environment: Transformation in Fraud Detection and Prevention Sector

• Why is it Increasingly Difficult to Grow?
• The Strategic Imperative 8™
• The Impact of the Top 3 Strategic Imperatives on the Fraud Detection and Prevention FDP Industry

Ecosystem in Fraud Detection and Prevention Sector

• Competitive Environment
• Key Competitors
• Key Features
• Key Verticals

Growth Generator in Fraud Detection and Prevention Sector

• Growth Metrics
• Growth Drivers
• Growth Driver Analysis
• Growth Restraints
• Growth Restraint Analysis
• Forecast Considerations
• Revenue Forecast
• Revenue Forecast by Region
• Revenue Forecast by Industry Vertical
• Revenue Forecast by Business Segment
• Revenue Forecast Analysis
• Revenue Forecast Analysis by Region
• Revenue Forecast Analysis by Industry Vertical
• Revenue Forecast Analysis by Customer Segment
• Pricing Trends and Forecast Analysis
• Revenue Share
• Revenue Share Analysis

Growth Generator: North America

• Growth Metrics
• Revenue Forecast
• Revenue Forecast by Industry Vertical
• Revenue Forecast by Business Segment
• Forecast Analysis

Growth Generator: Europe

• Growth Metrics
• Revenue Forecast
• Revenue Forecast by Industry Vertical
• Revenue Forecast by Business Segment
• Forecast Analysis

Growth Generator: Asia Pacific

• Growth Metrics
• Revenue Forecast
• Revenue Forecast by Industry Vertical
• Revenue Forecast by Business Segment
• Forecast Analysis

Growth Generator: Latin America

• Growth Metrics
• Revenue Forecast
• Revenue Forecast by Industry Vertical
• Revenue Forecast by Business Segment
• Forecast Analysis

Growth Generator: Middle East and Africa

• Growth Metrics
• Revenue Forecast
• Revenue Forecast by Industry Vertical
• Revenue Forecast by Business Segment
• Forecast Analysis

Insights for CISOs

• Insights for CISOs-Enhance Preparedness
• Insights for CISOs-FDP Trends

Growth Opportunity Universe

• Growth Opportunity 1: Integrating with the Payment Ecosystem
• Growth Opportunity 2: Network Intelligence
• Growth Opportunity 3: Document Verification
• Growth Opportunity 4: Deepfake Identification
• Growth Opportunity 5: Vertical Specific Solutions

Appendix & Next Steps

• Benefits and Impacts of Growth Opportunities
• Next Steps
• List of Exhibits
• Legal Disclaimer