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市场调查报告书
商品编码
1889190

全球诈骗侦测与预防市场：预测至 2032 年－按组件、部署方式、组织规模、诈欺类型、最终用户和地区进行分析

Fraud Detection & Prevention Market Forecasts to 2032 - Global Analysis By Component (Solutions and Services), Deployment Mode, Organization Size, Fraud Type, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 | 商品交期: 2-3个工作天内

价格

根据 Stratistics MRC 的一项研究，预计到 2025 年，全球诈骗侦测和预防市场价值将达到 650.7 亿美元，到 2032 年将达到 2,803.3 亿美元，在预测期内的复合年增长率为 23.2%。

诈骗侦测与预防是指用于识别、监控和阻止诈欺活动，防止其造成财务或业务损失的系统、流程和分析技术。它结合了即时数据分析、行为监控、机器学习模型和自动警报，以识别交易、用户互动和整体数位环境中的可疑模式。透过将先进技术与强大的安全策略相结合，组织可以主动降低风险、保护敏感资产并保持合规性，同时增强其抵御不断演变的诈欺威胁的整体防御能力。

根据联邦贸易委员会 (FTC) 的数据，2023 年消费者报告的诈骗损失将超过 100 亿美元，这是此类损失首次达到如此高的水平。

诈骗手段日益复杂

诸如合成身分、帐户盗用和深度造假伪造攻击等复杂手段正在加剧安全挑战。诈骗正利用自动化、人工智慧和社交工程等先进工具来绕过传统控制措施。因此，企业正在加速投资于利用即时分析和机器学习的检测解决方案。诈骗案件带来的日益增长的财务和声誉风险进一步推动了市场成长。这种不断升级的威胁环境正成为推动现代诈骗技术普及的主要动力。

与旧有系统整合的复杂性

旧有系统往往缺乏无缝整合所需的柔软性和互通性，导致引进週期过长、成本增加，并造成业务中断。资料孤岛和不一致的架构进一步加剧了人工智慧驱动的诈骗工具整合的复杂性，迫使企业投资现代化改造和基于 API 的连接器，以确保顺利实施。这些整合挑战正在延缓先进诈欺预防技术的推广应用。

先进技术的应用日益普及

这些工具能够实现即时风险评分、行为分析和自动异常检测。云端运算的整合使得跨产业的部署更具可扩展性和成本效益。先进技术能够提高侦测精度，同时减少误报。各组织正朝着预测性和自适应的诈欺预防框架迈进。这种技术变革正在为创新和市场拓展开新的途径。

资料品质和隐私问题

资料品质差会增加误报和错误分类的可能性。同时，人们对个人资料隐私日益增长的担忧也带来了合规方面的挑战。诸如 GDPR、CCPA 和其他地区资料保护法规都要求采取严格的保障措施。企业必须在资料利用、透明度和负责任的处理之间取得平衡。未能维护高水准的资料完整性和隐私保护可能会削弱使用者信任，并阻碍产品的普及应用。

新冠疫情的感染疾病：

疫情导致数位交易激增，同时也引发了各行各业诈欺试验的增加。远端办公环境带来了新的安全漏洞，尤其是在身分和存取管理方面。为了应对日益增长的风险，许多组织加快了云端基础诈骗侦测工具的部署。新冠疫情也凸显了即时监控和自动化在处理不断增长的交易量方面的重要性。最终，这场危机再次印证了先进的诈骗侦测系统在保护数位生态系统方面发挥的关键作用。

预计在预测期内，解决方案领域将占据最大的市场份额。

由于其在诈欺侦测、分析和预防方面的全面能力，预计解决方案领域将在预测期内占据最大的市场份额。这些产品包括分析平台、身份验证工具和风险评分引擎，支援多种应用场景。由于解决方案具有可扩展性和强大的整合能力，企业更倾向于采用基于解决方案的部署方式。人工智慧和云端驱动的诈骗侦测工具的日益普及也使这一领域的重要性日益凸显。银行、金融和保险 (BFSI)、电子商务和通讯业的公司高度依赖诈骗侦测方案来保障其交易安全。

预计在预测期内，零售和电子商务领域的复合年增长率将最高。

预计在预测期内，零售和电子商务产业将迎来最高的成长率，因为随着网路购物、行动支付和数位钱包的兴起，安全漏洞也随之增加。为了保护客户和交易安全，这些公司正在部署即时诈骗侦测工具。先进的分析技术和人工智慧系统有助于从海量交易中识别诈欺活动。客户体验和信任是电子商务企业成功的关键因素，也是推动技术快速普及的动力。

占比最大的地区：

在预测期内，北美预计将占据最大的市场份额，这得益于其成熟的数位基础设施和主要诈骗侦测供应商的强大影响力。高水准的线上支付和数位银行服务催生了对强大诈欺防护的巨大需求。该地区受益于先进的网路安全能力和对新兴技术的早期应用。美国和加拿大的企业正在大力投资即时分析和基于人工智慧的反诈骗解决方案。严格的法规结构进一步促使企业将诈欺预防放在首位。

复合年增长率最高的地区：

由于数位转型加速和线上商务蓬勃发展，亚太地区预计在预测期内将实现最高的复合年增长率。网路普及率的提高和行动支付的普及带来了新的诈欺风险。该地区各国政府正在加强网路安全要求和数位金融监管。企业正在加速采用云端基础和人工智慧的反诈骗工具来保护其数位环境。印度、中国和东南亚国家金融科技生态系统的发展正在推动技术应用。

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  • 公司简介
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    • 根据客户兴趣对主要国家进行市场估算、预测和复合年增长率分析（註：基于可行性检查）
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    • 基于产品系列、地域覆盖和策略联盟对主要企业基准化分析

目录

第一章执行摘要

第二章 引言

  • 概述
  • 相关利益者
  • 分析范围
  • 分析方法
  • 分析材料

第三章 市场趋势分析

  • 司机
  • 抑制因素
  • 机会
  • 威胁
  • 终端用户分析
  • 新兴市场
  • 新冠疫情的影响

第四章 波特五力分析

  • 供应商的议价能力
  • 买方议价能力
  • 替代产品的威胁
  • 新进入者的威胁
  • 竞争对手之间的竞争

5. 全球诈骗侦测与预防市场（按组件划分）

  • 解决方案
    • 诈欺分析
      • 预测分析
      • 客户分析
      • 社群媒体分析
      • 巨量资料分析
    • 认证
      • 单因素身份验证
      • 多因素身份验证
    • 管治、风险与合规 (GRC)
    • 诈骗侦测软体
    • 识别及存取管理 (IAM)
  • 服务
    • 专业服务
      • 咨询
      • 培训支援
      • 系统整合
    • 託管服务

6. 全球诈骗侦测与预防市场依部署方式划分

  • 本地部署
  • 云

7. 按组织规模分類的全球诈骗侦测与预防市场

  • 中小企业
  • 大公司

8. 全球诈骗侦测与预防市场（依诈欺类型划分）

  • 身分诈骗
  • 银行诈骗
  • 支付诈骗
  • 网路诈骗
  • 保险诈欺
  • 洗钱
  • 帐号接管
  • 顾客不在场（CNP）诈骗
  • 智慧财产权诈骗
  • 通讯诈骗

9. 全球诈骗侦测与预防市场（按最终用户划分）

  • 银行、金融和保险（BFSI）
  • 资讯科技/通讯
  • 零售与电子商务
  • 房地产
  • 医疗保健
  • 媒体与娱乐
  • 政府/公共部门
  • 运输/物流
  • 能源与公用事业
  • 製造业

第十章 全球诈骗侦测与预防市场（按地区划分）

  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 义大利
    • 法国
    • 西班牙
    • 其他欧洲
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 澳洲
    • 纽西兰
    • 韩国
    • 亚太其他地区
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 其他南美洲
  • 中东和非洲
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 卡达
    • 南非
    • 其他中东和非洲地区

第十一章：主要趋势

  • 合约、商业伙伴关係和合资企业
  • 企业合併（M&A）
  • 新产品上市
  • 业务拓展
  • 其他关键策略

第十二章：企业概况

  • IBM Corporation
  • BioCatch
  • SAS Institute
  • Sift
  • FICO
  • Forter
  • NICE Actimize
  • Equifax
  • ACI Worldwide
  • Oracle Corporation
  • Fiserv
  • LexisNexis Risk Solutions
  • FIS Global
  • TransUnion
  • Experian
Product Code: SMRC32650

According to Stratistics MRC, the Global Fraud Detection & Prevention Market is accounted for $65.07 billion in 2025 and is expected to reach $280.33 billion by 2032 growing at a CAGR of 23.2% during the forecast period. Fraud Detection & Prevention refers to the systems, processes, and analytical methods used to identify, monitor, and stop fraudulent activities before they cause financial or operational harm. It combines real-time data analysis, behavioral monitoring, machine learning models, and automated alerts to recognize suspicious patterns across transactions, user interactions, and digital environments. By integrating advanced technologies with strong security policies, organizations can proactively reduce risks, safeguard sensitive assets, and maintain compliance while enhancing overall protection against evolving fraud threats.

According to the Federal Trade Commission data, consumers reported losses exceeding USD 10 billion due to fraud in 2023, marking the first instance of such losses reaching this level.

Market Dynamics:

Driver:

Increasing sophistication of fraud

Sophisticated schemes involving synthetic identities, account takeovers, and deepfake-based attacks are intensifying security challenges. Fraudsters are leveraging advanced tools such as automation, AI, and social engineering to bypass traditional controls. As a result, enterprises are accelerating investments in real-time analytics and machine learning-powered detection solutions. The rising financial and reputational risks associated with fraud incidents are further driving market growth. This escalating threat landscape is becoming a major catalyst for adopting modern fraud prevention technologies.

Restraint:

Integration complexity with legacy systems

Legacy systems often lack the flexibility and interoperability needed for seamless integration. This creates long implementation cycles, higher costs, and operational disruptions. Data silos and inconsistent architectures further complicate the integration of AI-driven fraud tools. Companies must invest in modernization or API-based connectors to enable smooth adoption. These integration challenges are slowing down the full-scale deployment of advanced fraud prevention technologies.

Opportunity:

Increased adoption of advanced technologies

The tools enable real-time risk scoring, behavioral analytics, and automated anomaly identification. The integration of cloud computing allows scalable and cost-efficient deployment across industries. Advanced technologies are enabling more accurate detection with fewer false positives. Organizations are increasingly shifting toward predictive and adaptive fraud prevention frameworks. This technological evolution is opening new pathways for innovation and market expansion.

Threat:

Data quality and privacy concerns

Poor data quality increases the chances of false alerts and misclassification. At the same time, growing concerns around personal data privacy are creating compliance challenges. Regulations such as GDPR, CCPA, and other regional data protection laws demand strict safeguards. Companies must balance data utilization with transparency and responsible processing. Failure to maintain high data integrity and privacy protection may erode user trust and hinder adoption.

Covid-19 Impact:

The pandemic triggered a surge in digital transactions, which led to a parallel increase in fraud attempts across industries. Remote work environments created new vulnerabilities, particularly around identity and access management. Many organizations accelerated their adoption of cloud-based fraud detection tools to manage rising risks. COVID-19 also highlighted the importance of real-time monitoring and automation to handle increased transaction volumes. The crisis ultimately reinforced the critical role of advanced fraud detection systems in securing digital ecosystems.

The solutions segment is expected to be the largest during the forecast period

The solutions segment is expected to account for the largest market share during the forecast period, due to its comprehensive capabilities in detecting, analyzing, and preventing fraud. These offerings include analytics platforms, authentication tools, and risk scoring engines that support multiple use cases. Organizations prefer solution-based deployments for their scalability and strong integration features. The growing shift toward AI- and cloud-driven fraud tools strengthens this segment's prominence. Enterprises across BFSI, e-commerce, and telecom rely heavily on fraud detection solutions to safeguard transactions.

The retail & E-commerce segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the retail & E-commerce segment is predicted to witness the highest growth rate, due to the rise of online shopping, mobile payments, and digital wallets increases vulnerability. These businesses are adopting real-time fraud detection tools to protect customers and transactions. Advanced analytics and AI systems help identify fraudulent behavior across large transaction volumes. Customer experience and trust are critical success factors for e-commerce players, driving rapid technology adoption.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share, supported by its mature digital infrastructure and strong presence of key fraud detection vendors. High levels of online payments and digital banking create substantial demand for robust fraud controls. The region benefits from advanced cybersecurity capabilities and early adoption of emerging technologies. Enterprises in the U.S. and Canada are heavily investing in real-time analytics and AI-based fraud solutions. Strict regulatory frameworks further encourage companies to prioritize fraud prevention.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR, owing to rapid digital transformation and expanding online commerce. Rising internet penetration and mobile payments are creating new fraud exposure points. Governments across the region are strengthening cybersecurity mandates and digital finance regulations. Businesses are increasingly adopting cloud-based and AI-driven fraud prevention tools to protect their digital environments. The growth of fintech ecosystems in countries like India, China, and Southeast Asia accelerates technology uptake.

Key players in the market

Some of the key players in Fraud Detection & Prevention Market include IBM Corp, BioCatch, SAS Institute, Sift, FICO, Forter, NICE Actim, Equifax, ACI World, Oracle Corp, Fiserv, LexisNexis, FIS Global, TransUnion, and Experian.

Key Developments:

In November 2025, Atruvia AG and IBM have sealed a long-term collaboration that paves the way for sustainable and state-of-the-art IT platforms for the banking of tomorrow. Atruvia will use IBM z17, which was announced earlier this year, as a cornerstone support its mission critical operations including the core banking system. Modernization and hybrid cloud integration is core to Atruvia's strategy to provide leading services and an outstanding experience for its users.

In October 2025, Oracle announced the latest capabilities added to Oracle Database@AWS to better support mission-critical enterprise workloads in the cloud. In addition, customers can now procure Oracle Database@AWS through qualified AWS and Oracle channel partners. This gives customers the flexibility to procure Oracle Database@AWS through their trusted partners and continue to innovate, modernize, and solve complex business problems in the cloud.

Components Covered:

  • Solutions
  • Services

Deployment Modes Covered:

  • On-Premises
  • Cloud

Organization Sizes Covered:

  • Small & Medium Enterprises (SMEs)
  • Large Enterprises

Fraud Types Covered:

  • Identity Fraud
  • Banking Fraud
  • Payment Fraud
  • Cyber Fraud
  • Insurance Fraud
  • Money Laundering
  • Account Takeover
  • Card-Not-Present (CNP) Fraud
  • Intellectual Property Fraud
  • Telecommunication Fraud

End Users Covered:

  • BFSI
  • IT & Telecom
  • Retail & E-commerce
  • Real Estate
  • Healthcare
  • Media & Entertainment
  • Government & Public Sector
  • Transportation & Logistics
  • Energy & Utilities
  • Manufacturing

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • Rest of Middle East & Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2024, 2025, 2026, 2028, and 2032
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

  • 2.1 Abstract
  • 2.2 Stake Holders
  • 2.3 Research Scope
  • 2.4 Research Methodology
    • 2.4.1 Data Mining
    • 2.4.2 Data Analysis
    • 2.4.3 Data Validation
    • 2.4.4 Research Approach
  • 2.5 Research Sources
    • 2.5.1 Primary Research Sources
    • 2.5.2 Secondary Research Sources
    • 2.5.3 Assumptions

3 Market Trend Analysis

  • 3.1 Introduction
  • 3.2 Drivers
  • 3.3 Restraints
  • 3.4 Opportunities
  • 3.5 Threats
  • 3.6 End User Analysis
  • 3.7 Emerging Markets
  • 3.8 Impact of Covid-19

4 Porters Five Force Analysis

  • 4.1 Bargaining power of suppliers
  • 4.2 Bargaining power of buyers
  • 4.3 Threat of substitutes
  • 4.4 Threat of new entrants
  • 4.5 Competitive rivalry

5 Global Fraud Detection & Prevention Market, By Component

  • 5.1 Introduction
  • 5.2 Solutions
    • 5.2.1 Fraud Analytics
      • 5.2.1.1 Predictive Analytics
      • 5.2.1.2 Customer Analytics
      • 5.2.1.3 Social Media Analytics
      • 5.2.1.4 Big Data Analytics
    • 5.2.2 Authentication
      • 5.2.2.1 Single-Factor Authentication
      • 5.2.2.2 Multi-Factor Authentication
    • 5.2.3 Governance, Risk, and Compliance (GRC)
    • 5.2.4 Fraud Detection Software
    • 5.2.5 Identity & Access Management (IAM)
  • 5.3 Services
    • 5.3.1 Professional Services
      • 5.3.1.1 Consulting
      • 5.3.1.2 Training & Support
      • 5.3.1.3 System Integration
    • 5.3.2 Managed Services

6 Global Fraud Detection & Prevention Market, By Deployment Mode

  • 6.1 Introduction
  • 6.2 On-Premises
  • 6.3 Cloud

7 Global Fraud Detection & Prevention Market, By Organization Size

  • 7.1 Introduction
  • 7.2 Small & Medium Enterprises (SMEs)
  • 7.3 Large Enterprises

8 Global Fraud Detection & Prevention Market, By Fraud Type

  • 8.1 Introduction
  • 8.2 Identity Fraud
  • 8.3 Banking Fraud
  • 8.4 Payment Fraud
  • 8.5 Cyber Fraud
  • 8.6 Insurance Fraud
  • 8.7 Money Laundering
  • 8.8 Account Takeover
  • 8.9 Card-Not-Present (CNP) Fraud
  • 8.10 Intellectual Property Fraud
  • 8.11 Telecommunication Fraud

9 Global Fraud Detection & Prevention Market, By End User

  • 9.1 Introduction
  • 9.2 BFSI
  • 9.3 IT & Telecom
  • 9.4 Retail & E-commerce
  • 9.5 Real Estate
  • 9.6 Healthcare
  • 9.7 Media & Entertainment
  • 9.8 Government & Public Sector
  • 9.9 Transportation & Logistics
  • 9.10 Energy & Utilities
  • 9.11 Manufacturing

10 Global Fraud Detection & Prevention Market, By Geography

  • 10.1 Introduction
  • 10.2 North America
    • 10.2.1 US
    • 10.2.2 Canada
    • 10.2.3 Mexico
  • 10.3 Europe
    • 10.3.1 Germany
    • 10.3.2 UK
    • 10.3.3 Italy
    • 10.3.4 France
    • 10.3.5 Spain
    • 10.3.6 Rest of Europe
  • 10.4 Asia Pacific
    • 10.4.1 Japan
    • 10.4.2 China
    • 10.4.3 India
    • 10.4.4 Australia
    • 10.4.5 New Zealand
    • 10.4.6 South Korea
    • 10.4.7 Rest of Asia Pacific
  • 10.5 South America
    • 10.5.1 Argentina
    • 10.5.2 Brazil
    • 10.5.3 Chile
    • 10.5.4 Rest of South America
  • 10.6 Middle East & Africa
    • 10.6.1 Saudi Arabia
    • 10.6.2 UAE
    • 10.6.3 Qatar
    • 10.6.4 South Africa
    • 10.6.5 Rest of Middle East & Africa

11 Key Developments

  • 11.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 11.2 Acquisitions & Mergers
  • 11.3 New Product Launch
  • 11.4 Expansions
  • 11.5 Other Key Strategies

12 Company Profiling

  • 12.1 IBM Corporation
  • 12.2 BioCatch
  • 12.3 SAS Institute
  • 12.4 Sift
  • 12.5 FICO
  • 12.6 Forter
  • 12.7 NICE Actimize
  • 12.8 Equifax
  • 12.9 ACI Worldwide
  • 12.10 Oracle Corporation
  • 12.11 Fiserv
  • 12.12 LexisNexis Risk Solutions
  • 12.13 FIS Global
  • 12.14 TransUnion
  • 12.15 Experian

List of Tables

  • Table 1 Global Fraud Detection & Prevention Market Outlook, By Region (2024-2032) ($MN)
  • Table 2 Global Fraud Detection & Prevention Market Outlook, By Component (2024-2032) ($MN)
  • Table 3 Global Fraud Detection & Prevention Market Outlook, By Solutions (2024-2032) ($MN)
  • Table 4 Global Fraud Detection & Prevention Market Outlook, By Fraud Analytics (2024-2032) ($MN)
  • Table 5 Global Fraud Detection & Prevention Market Outlook, By Predictive Analytics (2024-2032) ($MN)
  • Table 6 Global Fraud Detection & Prevention Market Outlook, By Customer Analytics (2024-2032) ($MN)
  • Table 7 Global Fraud Detection & Prevention Market Outlook, By Social Media Analytics (2024-2032) ($MN)
  • Table 8 Global Fraud Detection & Prevention Market Outlook, By Big Data Analytics (2024-2032) ($MN)
  • Table 9 Global Fraud Detection & Prevention Market Outlook, By Authentication (2024-2032) ($MN)
  • Table 10 Global Fraud Detection & Prevention Market Outlook, By Single-Factor Authentication (2024-2032) ($MN)
  • Table 11 Global Fraud Detection & Prevention Market Outlook, By Multi-Factor Authentication (2024-2032) ($MN)
  • Table 12 Global Fraud Detection & Prevention Market Outlook, By Governance, Risk, and Compliance (GRC) (2024-2032) ($MN)
  • Table 13 Global Fraud Detection & Prevention Market Outlook, By Fraud Detection Software (2024-2032) ($MN)
  • Table 14 Global Fraud Detection & Prevention Market Outlook, By Identity & Access Management (IAM) (2024-2032) ($MN)
  • Table 15 Global Fraud Detection & Prevention Market Outlook, By Services (2024-2032) ($MN)
  • Table 16 Global Fraud Detection & Prevention Market Outlook, By Professional Services (2024-2032) ($MN)
  • Table 17 Global Fraud Detection & Prevention Market Outlook, By Consulting (2024-2032) ($MN)
  • Table 18 Global Fraud Detection & Prevention Market Outlook, By Training & Support (2024-2032) ($MN)
  • Table 19 Global Fraud Detection & Prevention Market Outlook, By System Integration (2024-2032) ($MN)
  • Table 20 Global Fraud Detection & Prevention Market Outlook, By Managed Services (2024-2032) ($MN)
  • Table 21 Global Fraud Detection & Prevention Market Outlook, By Deployment Mode (2024-2032) ($MN)
  • Table 22 Global Fraud Detection & Prevention Market Outlook, By On-Premises (2024-2032) ($MN)
  • Table 23 Global Fraud Detection & Prevention Market Outlook, By Cloud (2024-2032) ($MN)
  • Table 24 Global Fraud Detection & Prevention Market Outlook, By Organization Size (2024-2032) ($MN)
  • Table 25 Global Fraud Detection & Prevention Market Outlook, By Small & Medium Enterprises (SMEs) (2024-2032) ($MN)
  • Table 26 Global Fraud Detection & Prevention Market Outlook, By Large Enterprises (2024-2032) ($MN)
  • Table 27 Global Fraud Detection & Prevention Market Outlook, By Fraud Type (2024-2032) ($MN)
  • Table 28 Global Fraud Detection & Prevention Market Outlook, By Identity Fraud (2024-2032) ($MN)
  • Table 29 Global Fraud Detection & Prevention Market Outlook, By Banking Fraud (2024-2032) ($MN)
  • Table 30 Global Fraud Detection & Prevention Market Outlook, By Payment Fraud (2024-2032) ($MN)
  • Table 31 Global Fraud Detection & Prevention Market Outlook, By Cyber Fraud (2024-2032) ($MN)
  • Table 32 Global Fraud Detection & Prevention Market Outlook, By Insurance Fraud (2024-2032) ($MN)
  • Table 33 Global Fraud Detection & Prevention Market Outlook, By Money Laundering (2024-2032) ($MN)
  • Table 34 Global Fraud Detection & Prevention Market Outlook, By Account Takeover (2024-2032) ($MN)
  • Table 35 Global Fraud Detection & Prevention Market Outlook, By Card-Not-Present (CNP) Fraud (2024-2032) ($MN)
  • Table 36 Global Fraud Detection & Prevention Market Outlook, By Intellectual Property Fraud (2024-2032) ($MN)
  • Table 37 Global Fraud Detection & Prevention Market Outlook, By Telecommunication Fraud (2024-2032) ($MN)
  • Table 38 Global Fraud Detection & Prevention Market Outlook, By End User (2024-2032) ($MN)
  • Table 39 Global Fraud Detection & Prevention Market Outlook, By BFSI (2024-2032) ($MN)
  • Table 40 Global Fraud Detection & Prevention Market Outlook, By IT & Telecom (2024-2032) ($MN)
  • Table 41 Global Fraud Detection & Prevention Market Outlook, By Retail & E-commerce (2024-2032) ($MN)
  • Table 42 Global Fraud Detection & Prevention Market Outlook, By Real Estate (2024-2032) ($MN)
  • Table 43 Global Fraud Detection & Prevention Market Outlook, By Healthcare (2024-2032) ($MN)
  • Table 44 Global Fraud Detection & Prevention Market Outlook, By Media & Entertainment (2024-2032) ($MN)
  • Table 45 Global Fraud Detection & Prevention Market Outlook, By Government & Public Sector (2024-2032) ($MN)
  • Table 46 Global Fraud Detection & Prevention Market Outlook, By Transportation & Logistics (2024-2032) ($MN)
  • Table 47 Global Fraud Detection & Prevention Market Outlook, By Energy & Utilities (2024-2032) ($MN)
  • Table 48 Global Fraud Detection & Prevention Market Outlook, By Manufacturing (2024-2032) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.