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市場調查報告書
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1844012

2025年全球人工智慧欺詐管理市場報告

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個工作天內

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簡介目錄

近年來，人工智慧欺詐管理市場規模迅速擴張，從2024年的130.5億美元成長到2025年的155.3億美元，複合年成長率達18.9%。這段歷史時期的成長歸因於網路威脅的增加、資料外洩、交易量的增加、詐騙成本的提高、意識的提升以及相關教育的普及。

預計未來幾年，人工智慧驅動的欺詐管理市場將快速成長，到2029年將達到312.5億美元，複合年成長率為19.1%。預測期內的成長可歸因於人工智慧與業務流程的整合、可解釋人工智慧的進步、詐欺的全球化、持續的監管關注以及即時資料流的整合。預測期內的主要趨勢包括技術的快速進步、法規合規性、協作式詐欺檢測網路、行為生物識別技術的採用以及人工智慧與區塊鏈的融合。

人工智慧 (AI) 在欺詐管理中的應用是指運用先進的技術、演算法和機器學習技術來識別、預防和減輕各行業的詐欺行為。採用人工智慧欺詐管理的主要目標是增強即時詐欺偵測和預防能力，實現詐欺偵測流程的自動化，提高效率並縮短詐欺回應時間。

基於人工智慧的欺詐管理的領先解決方案包括人工智慧驅動的詐欺預防軟體和服務。這些解決方案利用機器學習模型來識別客戶行為和連線中的異常，從而實現詐騙活動的即時偵測。這些解決方案適用於各種規模的企業，從中小型企業到大型企業。這些解決方案的應用包括身分盜竊預防、支付詐騙預防和洗錢防制，並部署在銀行、金融服務、保險、通訊、醫療保健、政府、教育、零售、消費品包裝商品 (CPG) 以及媒體和娛樂等行業。

2025年春季美國關稅飆升及其引發的貿易摩擦對資訊科技產業產生了重大影響，尤其是硬體製造、資料基礎設施和軟體部署。對進口半導體、電路基板和網路設備徵收更高的關稅，並推高了高科技公司、雲端服務供應商和資料中心的生產和營運成本。在全球範圍內採購筆記型電腦、伺服器和消費電子產品的公司面臨更長的前置作業時間和價格壓力。同時，對專業軟體徵收的關稅以及主要國際市場的報復性措施擾亂了全球IT供應鏈，減少了海外對美國製造技術的需求。作為應對措施，該行業正在增加對國內晶片生產的投資，擴大供應商網路，並利用人工智慧驅動的自動化來提高彈性並更有效地管理成本。

本研究報告是商業研究公司（The Business Research Company）新報告系列的一部分，該系列提供人工智慧欺詐管理欺詐管理統計數據，例如全球市場規模、各地區市場佔有率、競爭對手的市場佔有率、詳細的人工智慧欺詐管理欺詐管理細分市場、市場趨勢和商業機會，提供在人工智慧欺詐管理管理行業取得成功所需的數據。這份人工智慧欺詐管理市場研究報告對產業現狀和未來進行了深入分析，全面展望了所有必要資訊。

我們預測未來五年的成長率為19.1%，較先前的預測略有下降0.2%。這一下降主要源自於美國與其他國家之間關稅的影響。這可能會直接影響美國，因為它會推遲部署依賴台灣和新加坡高速處理器的即時人工智慧詐欺偵測系統，從而增加金融風險。由於互惠關稅以及貿易緊張局勢和限制措施加劇對全球經濟和貿易的負面影響，這種影響也將更加廣泛。

數位支付和跨境交易的日益普及，預計將在短期內推動基於人工智慧的欺詐管理市場的成長。數位支付和跨境交易日益普及，得益於用戶能夠使用行動裝置或電腦隨時隨地進行交易的便利性。將人工智慧融入欺詐管理系統，對於確保數位付款管道的安全性和可靠性，以及保護用戶和企業免受詐騙至關重要。例如，根據印度國家支付公司 (NPCI) 的數據，2022 年統一支付介面 (UPI) 交易額預計將大幅成長，達到 125.95 兆印度盧比（約 1.52 兆美元），較去年同期成長顯著。此外，UPI 交易額在 2022 會計年度佔印度 GDP 的 86% 以上，證實了數位支付解決方案的廣泛應用。因此，數位支付和跨境交易的日益普及是推動人工智慧在欺詐管理市場成長軌跡的關鍵因素。

AI欺詐管理市場的關鍵參與者正在進行技術進步，以加強其即時詐欺防制能力，特別是在生成性 AI 驅動的詐欺解決方案領域。生成性 AI詐騙解決方案利用生成性 AI 模型創建欺騙性內容，例如文字、圖像和音頻，以打擊冒充、金融詐騙和虛假資訊。例如，2023 年 10 月，美國詐騙和風險偵測軟體開發商 DataVisor 推出了生成性 AI 驅動的詐騙解決方案 AI Co-Pilot。這種創新工具利用生成性 AI 來自動化詐欺偵測，最大限度地減少誤報，並即時減少用戶摩擦。透過將 AI Co-Pilot 納入其詐欺預防策略，金融機構和企業可以增強其詐欺偵測能力，同時保持無縫的客戶體驗。該系統提供自動規則調整、功能腳本創建和調試以及規則說明生成等優勢，增強了欺詐管理能力和營運效率。

2022年10月，專注於金融犯罪、風險管理和詐欺偵測解決方案的領先企業人工智慧公司Symphony AI完成了BAE系統公司旗下NetReveal的收購。此次收購彰顯了Symphony AI致力於增強自身實力，尤其是在金融犯罪偵測和預防領域。透過將NetReveal強大的平台與Symphony AI先進的Sensa AI技術相結合，該公司旨在為客戶提供風險管理和欺詐檢測領域的全面解決方案。 NetReveal是一家總部位於美國的人工智慧主導風險管理和詐欺偵測服務供應商，它將帶來豐富的專業知識和功能，以增強Symphony AI的產品服務。

人工智慧欺詐管理市場由營業單位透過異常檢測、機器學習模型、預測性維護、網路分析、客戶分析和模式識別產生的收益構成。市場價值包括服務供應商銷售或包含在其服務產品中的相關產品的價值。人工智慧欺詐管理市場還包括詐欺偵測系統、生物識別解決方案、交易監控平台、行為分析工具和預測性維護系統的銷售。此市場的價值是指“出廠價”，即商品製造商或生產商向其他營業單位（包括下游製造商、批發商、經銷商和零售商）或直接向最終客戶銷售的商品價值。該市場中的商品價值還包括商品製造商銷售的任何相關服務。

目錄

第1章執行摘要

第2章 市場特徵

第3章 市場趨勢與策略

第4章 市場：宏觀經濟情景，包括利率、通膨、地緣政治、貿易戰和關稅，以及新冠疫情和復甦對市場的影響

第5章 全球成長分析與策略分析框架

  • 全球人工智慧欺詐管理：PESTEL分析（政治、社會、技術、環境、法律因素、促進因素和限制因素）
  • 最終用途產業分析
  • 全球基於人工智慧的欺詐管理市場：成長率分析
  • 全球人工智慧欺詐管理市場表現：規模與成長，2019-2024
  • 全球人工智慧欺詐管理市場預測：規模與成長，2024-2029 年，2034 年
  • 全球人工智慧欺詐管理：總潛在市場（TAM）

第6章 市場細分

  • 全球基於人工智慧的欺詐管理市場：按解決方案、效能和預測，2019-2024 年、2024-2029 年、2034 年
  • 人工智慧驅動的詐欺防制軟體
  • 服務
  • 全球基於人工智慧的欺詐管理市場：按公司規模、實際結果和預測，2019-2024 年、2024-2029 年、2034 年
  • 小型企業
  • 主要企業
  • 全球基於人工智慧的欺詐管理市場：按應用、表現和預測，2019-2024 年、2024-2029 年、2034 年
  • 身分盜竊保護
  • 支付詐騙預防
  • 反洗錢
  • 其他用途
  • 全球基於人工智慧的欺詐管理市場：按產業、績效和預測，2019-2024 年、2024-2029 年、2034 年
  • 銀行、金融服務和保險
  • 資訊科技和通訊
  • 衛生保健
  • 政府
  • 教育
  • 零售及消費包裝商品（CPG）
  • 媒體和娛樂
  • 其他行業
  • 全球基於人工智慧的欺詐管理市場：人工智慧反詐騙軟體細分（按類型）、實際和預測，2019-2024 年、2024-2029 年、2034 年
  • 即時交易監控
  • 詐騙偵測和分析工具
  • 風險評分和評估解決方案
  • 全球欺詐管理市場：按服務、類型、績效和預測細分，2019-2024 年、2024-2029 年、2034 年
  • 諮詢服務
  • 實施服務
  • 培訓和支援服務
  • 託管詐騙偵測服務

第7章 區域和國家分析

  • 全球基於人工智慧的欺詐管理市場：按地區、業績和預測，2019-2024 年、2024-2029 年、2034 年
  • 全球人工智慧欺詐管理市場：依國家、績效及預測，2019-2024 年、2024-2029 年、2034 年

第8章 亞太市場

第9章：中國市場

第10章 印度市場

第11章 日本市場

第12章：澳洲市場

第13章 印尼市場

第14章 韓國市場

第15章：西歐市場

第16章英國市場

第17章：德國市場

第18章：法國市場

第19章：義大利市場

第20章：西班牙市場

第21章 東歐市場

第22章：俄羅斯市場

第23章 北美市場

第24章美國市場

第25章：加拿大市場

第26章 南美洲市場

第27章：巴西市場

第28章 中東市場

第29章：非洲市場

第30章：競爭格局與公司概況

  • 人工智慧欺詐管理市場：競爭格局
  • 人工智慧欺詐管理市場：公司簡介
    • 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：其他領先和創新企業

  • 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 章全球市場競爭基準化分析與儀表板

第33章 重大併購

第34章近期市場趨勢

第 35 章：高潛力市場國家、細分市場與策略

  • 2029年人工智慧欺詐管理市場：提供新機會的國家
  • 2029 年人工智慧欺詐管理市場：細分領域帶來新機會
  • 2029 年人工智慧欺詐管理市場：成長策略
    • 基於市場趨勢的策略
    • 競爭對手策略

第36章 附錄

簡介目錄
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