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市场调查报告书
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1844012

2025年全球人工智慧欺诈管理市场报告

AI In Fraud Management Global Market Report 2025
出版日期: | 出版商: The Business Research Company | 英文 250 Pages | 商品交期: 2-10个工作天内

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简介目录

近年来，人工智慧欺诈管理市场规模迅速扩张，从2024年的130.5亿美元成长到2025年的155.3亿美元，复合年增长率达18.9%。这段历史时期的成长归因于网路威胁的增加、资料外洩、交易量的增加、诈骗成本的提高、意识的提升以及相关教育的普及。

预计未来几年，人工智慧驱动的欺诈管理市场将快速成长，到2029年将达到312.5亿美元，复合年增长率为19.1%。预测期内的成长可归因于人工智慧与业务流程的整合、可解释人工智慧的进步、诈欺的全球化、持续的监管关注以及即时资料流的整合。预测期内的主要趋势包括技术的快速进步、法规合规性、协作式诈欺检测网路、行为生物识别技术的采用以及人工智慧与区块链的融合。

人工智慧 (AI) 在欺诈管理中的应用是指运用先进的技术、演算法和机器学习技术来识别、预防和减轻各行业的诈欺行为。采用人工智慧欺诈管理的主要目标是增强即时诈欺侦测和预防能力，实现诈欺侦测流程的自动化，提高效率并缩短诈欺回应时间。

基于人工智慧的欺诈管理的领先解决方案包括人工智慧驱动的诈欺预防软体和服务。这些解决方案利用机器学习模型来识别客户行为和连线中的异常，从而实现诈骗活动的即时侦测。这些解决方案适用于各种规模的企业，从中小型企业到大型企业。这些解决方案的应用包括身分盗窃预防、支付诈骗预防和洗钱防制，并部署在银行、金融服务、保险、通讯、医疗保健、政府、教育、零售、消费品包装商品 (CPG) 以及媒体和娱乐等行业。

2025年春季美国关税飙升及其引发的贸易摩擦对资讯科技产业产生了重大影响，尤其是硬体製造、资料基础设施和软体部署。对进口半导体、电路基板和网路设备征收更高的关税，并推高了高科技公司、云端服务供应商和资料中心的生产和营运成本。在全球范围内采购笔记型电脑、伺服器和消费电子产品的公司面临更长的前置作业时间和价格压力。同时，对专业软体征收的关税以及主要国际市场的报復性措施扰乱了全球IT供应链，减少了海外对美国製造技术的需求。作为应对措施，该行业正在增加对国内晶片生产的投资，扩大供应商网络，并利用人工智慧驱动的自动化来提高弹性并更有效地管理成本。

本研究报告是商业研究公司（The Business Research Company）新报告系列的一部分，该系列提供人工智慧欺诈管理欺诈管理统计数据，例如全球市场规模、各地区市场份额、竞争对手的市场份额、详细的人工智慧欺诈管理欺诈管理细分市场、市场趋势和商业机会，提供在人工智慧欺诈管理管理行业取得成功所需的数据。这份人工智慧欺诈管理市场研究报告对产业现状和未来进行了深入分析，全面展望了所有必要资讯。

我们预测未来五年的成长率为19.1%，较先前的预测略有下降0.2%。这一下降主要源自于美国与其他国家之间关税的影响。这可能会直接影响美国，因为它会推迟部署依赖台湾和新加坡高速处理器的即时人工智慧诈欺侦测系统，从而增加金融风险。由于互惠关税以及贸易紧张局势和限制措施加剧对全球经济和贸易的负面影响，这种影响也将更加广泛。

数位支付和跨境交易的日益普及，预计将在短期内推动基于人工智慧的欺诈管理市场的成长。数位支付和跨境交易日益普及，得益于用户能够使用行动装置或电脑随时随地进行交易的便利性。将人工智慧融入欺诈管理系统，对于确保数位付款管道的安全性和可靠性，以及保护用户和企业免受诈骗至关重要。例如，根据印度国家支付公司 (NPCI) 的数据，2022 年统一支付介面 (UPI) 交易额预计将大幅成长，达到 125.95 兆印度卢比（约 1.52 兆美元），较去年同期成长显着。此外，UPI 交易额在 2022 财年占印度 GDP 的 86% 以上，证实了数位支付解决方案的广泛应用。因此，数位支付和跨境交易的日益普及是推动人工智慧在欺诈管理市场成长轨迹的关键因素。

AI欺诈管理市场的关键参与者正在进行技术进步，以加强其实时诈欺防制能力，特别是在生成性 AI 驱动的诈欺解决方案领域。生成性 AI诈骗解决方案利用生成性 AI 模型创建欺骗性内容，例如文字、图像和音频，以打击冒充、金融诈骗和虚假资讯。例如，2023 年 10 月，美国诈骗和风险侦测软体开发商 DataVisor 推出了生成性 AI 驱动的诈骗解决方案 AI Co-Pilot。这种创新工具利用生成性 AI 来自动化诈欺侦测，最大限度地减少误报，并即时减少用户摩擦。透过将 AI Co-Pilot 纳入其诈欺预防策略，金融机构和企业可以增强其诈欺侦测能力，同时保持无缝的客户体验。该系统提供自动规则调整、功能脚本创建和调试以及规则说明生成等优势，增强了欺诈管理能力和营运效率。

2022年10月，专注于金融犯罪、风险管理和诈欺侦测解决方案的领先企业人工智慧公司Symphony AI完成了BAE系统公司旗下NetReveal的收购。此次收购彰显了Symphony AI致力于增强自身实力，尤其是在金融犯罪侦测和预防领域。透过将NetReveal强大的平台与Symphony AI先进的Sensa AI技术相结合，该公司旨在为客户提供风险管理和欺诈检测领域的全面解决方案。 NetReveal是一家总部位于美国的人工智慧主导风险管理和诈欺侦测服务供应商，它将带来丰富的专业知识和功能，以增强Symphony AI的产品服务。

人工智慧欺诈管理市场由营业单位透过异常检测、机器学习模型、预测性维护、网路分析、客户分析和模式识别产生的收益构成。市场价值包括服务供应商销售或包含在其服务产品中的相关产品的价值。人工智慧欺诈管理市场还包括诈欺侦测系统、生物识别解决方案、交易监控平台、行为分析工具和预测性维护系统的销售。此市场的价值是指“出厂价”，即商品製造商或生产商向其他营业单位（包括下游製造商、批发商、经销商和零售商）或直接向最终客户销售的商品价值。该市场中的商品价值还包括商品製造商销售的任何相关服务。

目录

第一章执行摘要

第二章 市场特征

第三章 市场趋势与策略

第四章 市场：宏观经济情景，包括利率、通膨、地缘政治、贸易战和关税，以及新冠疫情和復苏对市场的影响

第五章 全球成长分析与策略分析框架

  • 全球人工智慧欺诈管理：PESTEL分析（政治、社会、技术、环境、法律因素、驱动因素和限制因素）
  • 最终用途产业分析
  • 全球基于人工智慧的欺诈管理市场：成长率分析
  • 全球人工智慧欺诈管理市场表现：规模与成长，2019-2024
  • 全球人工智慧欺诈管理市场预测：规模与成长，2024-2029 年，2034 年
  • 全球人工智慧欺诈管理：总潜在市场（TAM）

第六章 市场细分

  • 全球基于人工智慧的欺诈管理市场：按解决方案、效能和预测，2019-2024 年、2024-2029 年、2034 年
  • 人工智慧驱动的诈欺防制软体
  • 服务
  • 全球基于人工智慧的欺诈管理市场：按公司规模、实际结果和预测，2019-2024 年、2024-2029 年、2034 年
  • 小型企业
  • 大公司
  • 全球基于人工智慧的欺诈管理市场：按应用、表现和预测，2019-2024 年、2024-2029 年、2034 年
  • 身分盗窃保护
  • 支付诈骗预防
  • 反洗钱
  • 其他用途
  • 全球基于人工智慧的欺诈管理市场：按产业、绩效和预测，2019-2024 年、2024-2029 年、2034 年
  • 银行、金融服务和保险
  • 资讯科技和通讯
  • 卫生保健
  • 政府
  • 教育
  • 零售及消费包装商品（CPG）
  • 媒体和娱乐
  • 其他行业
  • 全球基于人工智慧的欺诈管理市场：人工智慧反诈骗软体细分（按类型）、实际和预测，2019-2024 年、2024-2029 年、2034 年
  • 即时交易监控
  • 诈骗侦测和分析工具
  • 风险评分和评估解决方案
  • 全球欺诈管理市场：按服务、类型、绩效和预测细分，2019-2024 年、2024-2029 年、2034 年
  • 咨询服务
  • 实施服务
  • 培训和支援服务
  • 託管诈骗侦测服务

第七章 区域和国家分析

  • 全球基于人工智慧的欺诈管理市场：按地区、业绩和预测，2019-2024 年、2024-2029 年、2034 年
  • 全球人工智慧欺诈管理市场：依国家、绩效及预测，2019-2024 年、2024-2029 年、2034 年

第八章 亚太市场

第九章：中国市场

第十章 印度市场

第十一章 日本市场

第十二章：澳洲市场

第十三章 印尼市场

第十四章 韩国市场

第十五章：西欧市场

第十六章英国市场

第十七章：德国市场

第18章：法国市场

第十九章：义大利市场

第20章：西班牙市场

第21章 东欧市场

第22章：俄罗斯市场

第23章 北美市场

第24章美国市场

第25章：加拿大市场

第26章 南美洲市场

第27章：巴西市场

第28章 中东市场

第29章：非洲市场

第30章：竞争格局与公司概况

  • 人工智慧欺诈管理市场：竞争格局
  • 人工智慧欺诈管理市场：公司简介
    • Trusteer Overview, Products and Services, Strategy and Financial Analysis
    • Hewlett Packard Enterprise Overview, Products and Services, Strategy and Financial Analysis
    • BAE Systems plc Overview, Products and Services, Strategy and Financial Analysis
    • Capgemini SE Overview, Products and Services, Strategy and Financial Analysis
    • Cognizant Technology Solutions India Private Limited. Overview, Products and Services, Strategy and Financial Analysis

第31章：其他领先和创新企业

  • SAS Institute Inc.
  • Splunk Inc.
  • Temenos AG
  • Shift Technology SAS
  • Pelican Products Inc.
  • Riskified Ltd.
  • NICE Actimize Inc.
  • Jumio Corp.
  • Onfido Ltd.
  • Subex Limited
  • BehavioSec Inc.
  • Arxan Technologies Inc.
  • Socure Inc.
  • ACTICO GmbH
  • BioConnect Inc.

第 32 章全球市场竞争基准化分析与仪表板

第33章 重大併购

第34章近期市场趋势

第 35 章：高潜力市场国家、细分市场与策略

  • 2029年人工智慧欺诈管理市场：提供新机会的国家
  • 2029 年人工智慧欺诈管理市场：细分领域带来新机会
  • 2029 年人工智慧欺诈管理市场：成长策略
    • 基于市场趋势的策略
    • 竞争对手策略

第36章 附录

简介目录
Product Code: r27274u

Artificial intelligence (AI) in fraud management refers to the application of advanced technologies, algorithms, and machine learning techniques to identify, prevent, and mitigate fraudulent activities across various sectors. The primary goal of employing AI in fraud management is to enhance the detection and prevention of fraudulent behavior in real-time, automating the fraud detection process, improving efficiency, and reducing response times to fraudulent activities.

The main solutions for AI in fraud management include AI-powered fraud prevention software and services. These solutions leverage machine learning models to identify anomalies in customer behaviors and connections, enabling real-time detection of fraudulent activities. Enterprises of varying sizes, including small and medium enterprises (SMEs) and large enterprises, utilize these solutions. They find applications in areas such as identity theft protection, payment fraud prevention, anti-money laundering, among others, and are employed across industries including banking, financial services, insurance, telecommunications, healthcare, government, education, retail, consumer packaged goods (CPG), media and entertainment, and others.

Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report's Recommendations and Conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.

The sharp rise in U.S. tariffs and the ensuing trade tensions in spring 2025 are having a significant impact on the information technology sector, especially in hardware manufacturing, data infrastructure, and software deployment. Increased duties on imported semiconductors, circuit boards, and networking equipment have driven up production and operating costs for tech companies, cloud service providers, and data centers. Firms that depend on globally sourced components for laptops, servers, and consumer electronics are grappling with extended lead times and mounting pricing pressures. At the same time, tariffs on specialized software and retaliatory actions by key international markets have disrupted global IT supply chains and dampened foreign demand for U.S.-made technologies. In response, the sector is ramping up investments in domestic chip production, broadening its supplier network, and leveraging AI-powered automation to improve resilience and manage costs more effectively.

The AI in fraud management market research report is one of a series of new reports from The Business Research Company that provides AI in fraud management market statistics, including AI in fraud management industry global market size, regional shares, competitors with AI in fraud management market share, detailed AI in fraud management market segments, market trends, and opportunities, and any further data you may need to thrive in the AI in fraud management industry. This AI in fraud management market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenarios of the industry.

The ai in fraud management market size has grown rapidly in recent years. It will grow from $13.05 billion in 2024 to $15.53 billion in 2025 at a compound annual growth rate (CAGR) of 18.9%. The growth in the historic period can be attributed to increasing cyber threats, data breaches, increasing transaction volumes, cost of fraud, awareness and education.

The ai in fraud management market size is expected to see rapid growth in the next few years. It will grow to $31.25 billion in 2029 at a compound annual growth rate (CAGR) of 19.1%. The growth in the forecast period can be attributed to AI integration in business processes, advancements in explainable AI, globalization of fraud, continued regulatory emphasis, integration of real-time data streams. Major trends in the forecast period include rapid technological advancements, regulatory compliance, collaborative fraud detection networks, behavioral biometrics adoption, convergence of AI and blockchain.

The forecast of 19.1% growth over the next five years reflects a slight reduction of 0.2% from the previous projection. This reduction is primarily due to the impact of tariffs between the US and other countries. This is likely to directly affect the US by delaying the deployment of real-time AI fraud detection systems, which depend on high-speed processors from Taiwan and Singapore, increasing financial risks. The effect will also be felt more widely due to reciprocal tariffs and the negative effect on the global economy and trade due to increased trade tensions and restrictions.

The increasing adoption of digital payments and cross-border transactions is poised to drive the growth of the AI in fraud management market in the foreseeable future. The surge in popularity of digital payments and cross-border transactions is fueled by the inherent convenience they offer, enabling users to conduct transactions at their convenience using mobile devices or computers. Integrating AI into fraud management systems is crucial for ensuring the security and reliability of digital payment platforms, safeguarding both users and businesses from fraudulent activities. For example, data from the National Payments Corporation of India (NPCI) reveals a significant increase in the transaction value of Unified Payments Interface (UPI) transactions in 2022, reaching INR 125.95 trillion (USD 1.52 trillion), marking a notable year-on-year growth. Moreover, UPI transactions accounted for over 86% of India's GDP in FY 22, underscoring the pervasive adoption of digital payment solutions. Consequently, the escalating popularity of digital payments and cross-border transactions emerges as a primary driver propelling the growth trajectory of AI in the fraud management market.

Key players in the AI fraud management market are directing their efforts towards technological advancements, particularly in the realm of generative AI-facilitated fraud solutions, to enhance real-time fraud defense capabilities. Generative AI fraud solutions leverage generative AI models to create deceptive content, such as text, images, or voices, to combat identity theft, financial scams, and disinformation. For instance, in October 2023, DataVisor, a US-based fraud and risk detection software developer, introduced the AI Co-Pilot, a generative AI-facilitated fraud solution. This innovative tool leverages Generative AI to automate fraud detection, minimize false positives, and reduce user friction in real-time. By integrating AI Co-Pilot into their fraud prevention strategies, financial institutions and businesses can enhance their ability to detect fraudulent activities while maintaining a seamless client experience. The system offers benefits such as automatic rule tweaking, feature script production and debugging, and rule description generation, bolstering fraud management capabilities and operational efficiency.

In October 2022, SymphonyAI, a leading enterprise AI firm specializing in solutions for financial crime, risk management, and fraud detection, completed the acquisition of NetReveal from BAE Systems, a move strategically aimed at bolstering its foothold in the financial sector. The acquisition, for an undisclosed sum, underscores SymphonyAI's commitment to enhancing its capabilities, particularly in the realm of financial crime detection and prevention. By integrating NetReveal's robust platform with SymphonyAI's advanced Sensa AI technology, the company aims to deliver comprehensive solutions to its clients in the field of risk management and fraud detection. NetReveal, an AI-driven risk management and fraud detection services provider based in the United States, brings a wealth of expertise and functionalities to augment SymphonyAI's offerings.

Major companies operating in the AI in fraud management market are Trusteer, Hewlett Packard Enterprise, BAE Systems plc, Capgemini SE, Cognizant Technology Solutions India Private Limited., SAS Institute Inc., Splunk Inc., Temenos AG, Shift Technology SAS, Pelican Products Inc., Riskified Ltd., NICE Actimize Inc., Jumio Corp., Onfido Ltd., Subex Limited, BehavioSec Inc., Arxan Technologies Inc., Socure Inc., ACTICO GmbH, BioConnect Inc., Matellio Inc., MaxMind Inc., Zest AI Inc., Chargeback.com Inc., Brighterion Inc.

North America was the largest region in the AI in fraud management market in 2024. The regions covered in the ai in fraud management market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

The countries covered in the ai in fraud management market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The AI in fraud management market consist of revenues earned by entities through anomaly detection, machine learning models, predictive maintenance, network analysis, customer profiling, and pattern recognition. The market value includes the value of related goods sold by the service provider or included within the service offering. The AI in fraud management market also includes sales of fraud detection systems, biometric authentication solutions, transaction monitoring platforms, behavioral analytics tools, and predictive maintenance systems. Values in this market are 'factory gate' values, that is, the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

AI In Fraud Management Global Market Report 2025 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses on ai in fraud management market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

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Where is the largest and fastest growing market for ai in fraud management ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The ai in fraud management market global report from the Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

  • The market characteristics section of the report defines and explains the market.
  • The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
  • The forecasts are made after considering the major factors currently impacting the market. These include:

The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.

  • Market segmentations break down the market into sub markets.
  • The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth.
  • The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
  • The trends and strategies section analyses the shape of the market as it emerges from the crisis and suggests how companies can grow as the market recovers.

Scope

  • Markets Covered:1) By Solution: AI-Powered Fraud Prevention Software; Services
  • 2) By Enterprise Size: Small And Medium Enterprises (SMEs); Large Enterprises
  • 3) By Application: Identity Theft Protection; Payment Fraud Prevention; Anti-Money Laundering; Other Applications
  • 4) By Industry: Banking, Financial Services And Insurance; IT And Telecom; Healthcare; Government; Education; Retail And Consumer packaged goods (CPG); Media And Entertainment; Other Industries
  • Subsegments:
  • 1) By AI-Powered Fraud Prevention Software: Real-Time Transaction Monitoring; Fraud Detection And Analysis Tools; Risk Scoring And Assessment Solutions
  • 2) By Services: Consulting Services; Implementation Services; Training And Support Services; Managed Fraud Detection Services
  • Companies Mentioned: Trusteer; Hewlett Packard Enterprise; BAE Systems plc; Capgemini SE; Cognizant Technology Solutions India Private Limited.; SAS Institute Inc.; Splunk Inc.; Temenos AG; Shift Technology SAS; Pelican Products Inc.; Riskified Ltd.; NICE Actimize Inc.; Jumio Corp.; Onfido Ltd.; Subex Limited; BehavioSec Inc.; Arxan Technologies Inc.; Socure Inc.; ACTICO GmbH; BioConnect Inc.; Matellio Inc.; MaxMind Inc.; Zest AI Inc.; Chargeback.com Inc.; Brighterion Inc.
  • Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Russia; South Korea; UK; USA; Canada; Italy; Spain
  • Regions: Asia-Pacific; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
  • Time Series: Five years historic and ten years forecast.
  • Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita,
  • Data Segmentations: country and regional historic and forecast data, market share of competitors, market segments.
  • Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
  • Delivery Format: PDF, Word and Excel Data Dashboard.

Table of Contents

1. Executive Summary

2. AI In Fraud Management Market Characteristics

3. AI In Fraud Management Market Trends And Strategies

4. AI In Fraud Management Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Trade Wars and Tariffs, And Covid And Recovery On The Market

  • 4.1. Supply Chain Impact from Tariff War & Trade Protectionism

5. Global AI In Fraud Management Growth Analysis And Strategic Analysis Framework

  • 5.1. Global AI In Fraud Management PESTEL Analysis (Political, Social, Technological, Environmental and Legal Factors, Drivers and Restraints)
  • 5.2. Analysis Of End Use Industries
  • 5.3. Global AI In Fraud Management Market Growth Rate Analysis
  • 5.4. Global AI In Fraud Management Historic Market Size and Growth, 2019 - 2024, Value ($ Billion)
  • 5.5. Global AI In Fraud Management Forecast Market Size and Growth, 2024 - 2029, 2034F, Value ($ Billion)
  • 5.6. Global AI In Fraud Management Total Addressable Market (TAM)

6. AI In Fraud Management Market Segmentation

  • 6.1. Global AI In Fraud Management Market, Segmentation By Solution, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • AI-Powered Fraud Prevention Software
  • Services
  • 6.2. Global AI In Fraud Management Market, Segmentation By Enterprise Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Small And Medium Enterprises (SMEs)
  • Large Enterprises
  • 6.3. Global AI In Fraud Management Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Identity Theft Protection
  • Payment Fraud Prevention
  • Anti-Money Laundering
  • Other Applications
  • 6.4. Global AI In Fraud Management Market, Segmentation By Industry, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Banking, Financial Services And Insurance
  • IT And Telecom
  • Healthcare
  • Government
  • Education
  • Retail And Consumer packaged goods (CPG)
  • Media And Entertainment
  • Other Industries
  • 6.5. Global AI In Fraud Management Market, Sub-Segmentation Of AI-Powered Fraud Prevention Software, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Real-Time Transaction Monitoring
  • Fraud Detection And Analysis Tools
  • Risk Scoring And Assessment Solutions
  • 6.6. Global AI In Fraud Management Market, Sub-Segmentation Of Services, ByType, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Consulting Services
  • Implementation Services
  • Training And Support Services
  • Managed Fraud Detection Services

7. AI In Fraud Management Market Regional And Country Analysis

  • 7.1. Global AI In Fraud Management Market, Split By Region, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 7.2. Global AI In Fraud Management Market, Split By Country, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

8. Asia-Pacific AI In Fraud Management Market

  • 8.1. Asia-Pacific AI In Fraud Management Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 8.2. Asia-Pacific AI In Fraud Management Market, Segmentation By Solution, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 8.3. Asia-Pacific AI In Fraud Management Market, Segmentation By Enterprise Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 8.4. Asia-Pacific AI In Fraud Management Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

9. China AI In Fraud Management Market

  • 9.1. China AI In Fraud Management Market Overview
  • 9.2. China AI In Fraud Management Market, Segmentation By Solution, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
  • 9.3. China AI In Fraud Management Market, Segmentation By Enterprise Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
  • 9.4. China AI In Fraud Management Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion

10. India AI In Fraud Management Market

  • 10.1. India AI In Fraud Management Market, Segmentation By Solution, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 10.2. India AI In Fraud Management Market, Segmentation By Enterprise Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 10.3. India AI In Fraud Management Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

11. Japan AI In Fraud Management Market

  • 11.1. Japan AI In Fraud Management Market Overview
  • 11.2. Japan AI In Fraud Management Market, Segmentation By Solution, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 11.3. Japan AI In Fraud Management Market, Segmentation By Enterprise Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 11.4. Japan AI In Fraud Management Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

12. Australia AI In Fraud Management Market

  • 12.1. Australia AI In Fraud Management Market, Segmentation By Solution, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 12.2. Australia AI In Fraud Management Market, Segmentation By Enterprise Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 12.3. Australia AI In Fraud Management Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

13. Indonesia AI In Fraud Management Market

  • 13.1. Indonesia AI In Fraud Management Market, Segmentation By Solution, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 13.2. Indonesia AI In Fraud Management Market, Segmentation By Enterprise Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 13.3. Indonesia AI In Fraud Management Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

14. South Korea AI In Fraud Management Market

  • 14.1. South Korea AI In Fraud Management Market Overview
  • 14.2. South Korea AI In Fraud Management Market, Segmentation By Solution, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 14.3. South Korea AI In Fraud Management Market, Segmentation By Enterprise Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 14.4. South Korea AI In Fraud Management Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

15. Western Europe AI In Fraud Management Market

  • 15.1. Western Europe AI In Fraud Management Market Overview
  • 15.2. Western Europe AI In Fraud Management Market, Segmentation By Solution, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 15.3. Western Europe AI In Fraud Management Market, Segmentation By Enterprise Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 15.4. Western Europe AI In Fraud Management Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

16. UK AI In Fraud Management Market

  • 16.1. UK AI In Fraud Management Market, Segmentation By Solution, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 16.2. UK AI In Fraud Management Market, Segmentation By Enterprise Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 16.3. UK AI In Fraud Management Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

17. Germany AI In Fraud Management Market

  • 17.1. Germany AI In Fraud Management Market, Segmentation By Solution, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 17.2. Germany AI In Fraud Management Market, Segmentation By Enterprise Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 17.3. Germany AI In Fraud Management Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

18. France AI In Fraud Management Market

  • 18.1. France AI In Fraud Management Market, Segmentation By Solution, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 18.2. France AI In Fraud Management Market, Segmentation By Enterprise Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 18.3. France AI In Fraud Management Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

19. Italy AI In Fraud Management Market

  • 19.1. Italy AI In Fraud Management Market, Segmentation By Solution, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 19.2. Italy AI In Fraud Management Market, Segmentation By Enterprise Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 19.3. Italy AI In Fraud Management Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

20. Spain AI In Fraud Management Market

  • 20.1. Spain AI In Fraud Management Market, Segmentation By Solution, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 20.2. Spain AI In Fraud Management Market, Segmentation By Enterprise Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 20.3. Spain AI In Fraud Management Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

21. Eastern Europe AI In Fraud Management Market

  • 21.1. Eastern Europe AI In Fraud Management Market Overview
  • 21.2. Eastern Europe AI In Fraud Management Market, Segmentation By Solution, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 21.3. Eastern Europe AI In Fraud Management Market, Segmentation By Enterprise Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 21.4. Eastern Europe AI In Fraud Management Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

22. Russia AI In Fraud Management Market

  • 22.1. Russia AI In Fraud Management Market, Segmentation By Solution, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 22.2. Russia AI In Fraud Management Market, Segmentation By Enterprise Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 22.3. Russia AI In Fraud Management Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

23. North America AI In Fraud Management Market

  • 23.1. North America AI In Fraud Management Market Overview
  • 23.2. North America AI In Fraud Management Market, Segmentation By Solution, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 23.3. North America AI In Fraud Management Market, Segmentation By Enterprise Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 23.4. North America AI In Fraud Management Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

24. USA AI In Fraud Management Market

  • 24.1. USA AI In Fraud Management Market Overview
  • 24.2. USA AI In Fraud Management Market, Segmentation By Solution, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 24.3. USA AI In Fraud Management Market, Segmentation By Enterprise Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 24.4. USA AI In Fraud Management Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

25. Canada AI In Fraud Management Market

  • 25.1. Canada AI In Fraud Management Market Overview
  • 25.2. Canada AI In Fraud Management Market, Segmentation By Solution, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 25.3. Canada AI In Fraud Management Market, Segmentation By Enterprise Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 25.4. Canada AI In Fraud Management Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

26. South America AI In Fraud Management Market

  • 26.1. South America AI In Fraud Management Market Overview
  • 26.2. South America AI In Fraud Management Market, Segmentation By Solution, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 26.3. South America AI In Fraud Management Market, Segmentation By Enterprise Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 26.4. South America AI In Fraud Management Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

27. Brazil AI In Fraud Management Market

  • 27.1. Brazil AI In Fraud Management Market, Segmentation By Solution, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 27.2. Brazil AI In Fraud Management Market, Segmentation By Enterprise Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 27.3. Brazil AI In Fraud Management Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

28. Middle East AI In Fraud Management Market

  • 28.1. Middle East AI In Fraud Management Market Overview
  • 28.2. Middle East AI In Fraud Management Market, Segmentation By Solution, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 28.3. Middle East AI In Fraud Management Market, Segmentation By Enterprise Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 28.4. Middle East AI In Fraud Management Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

29. Africa AI In Fraud Management Market

  • 29.1. Africa AI In Fraud Management Market Overview
  • 29.2. Africa AI In Fraud Management Market, Segmentation By Solution, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 29.3. Africa AI In Fraud Management Market, Segmentation By Enterprise Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 29.4. Africa AI In Fraud Management Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

30. AI In Fraud Management Market Competitive Landscape And Company Profiles

  • 30.1. AI In Fraud Management Market Competitive Landscape
  • 30.2. AI In Fraud Management Market Company Profiles
    • 30.2.1. Trusteer Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.2. Hewlett Packard Enterprise Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.3. BAE Systems plc Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.4. Capgemini SE Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.5. Cognizant Technology Solutions India Private Limited. Overview, Products and Services, Strategy and Financial Analysis

31. AI In Fraud Management Market Other Major And Innovative Companies

  • 31.1. SAS Institute Inc.
  • 31.2. Splunk Inc.
  • 31.3. Temenos AG
  • 31.4. Shift Technology SAS
  • 31.5. Pelican Products Inc.
  • 31.6. Riskified Ltd.
  • 31.7. NICE Actimize Inc.
  • 31.8. Jumio Corp.
  • 31.9. Onfido Ltd.
  • 31.10. Subex Limited
  • 31.11. BehavioSec Inc.
  • 31.12. Arxan Technologies Inc.
  • 31.13. Socure Inc.
  • 31.14. ACTICO GmbH
  • 31.15. BioConnect Inc.

32. Global AI In Fraud Management Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The AI In Fraud Management Market

34. Recent Developments In The AI In Fraud Management Market

35. AI In Fraud Management Market High Potential Countries, Segments and Strategies

  • 35.1 AI In Fraud Management Market In 2029 - Countries Offering Most New Opportunities
  • 35.2 AI In Fraud Management Market In 2029 - Segments Offering Most New Opportunities
  • 35.3 AI In Fraud Management Market In 2029 - Growth Strategies
    • 35.3.1 Market Trend Based Strategies
    • 35.3.2 Competitor Strategies

36. Appendix

  • 36.1. Abbreviations
  • 36.2. Currencies
  • 36.3. Historic And Forecast Inflation Rates
  • 36.4. Research Inquiries
  • 36.5. The Business Research Company
  • 36.6. Copyright And Disclaimer