不正管理におけるAIの世界市場レポート 2024年

不正管理におけるAI市場規模は、今後数年で急成長が見込まれます。2028年にはCAGR19.4％で265億1,000万米ドルに成長します。予測期間における成長予測は、ビジネスプロセスへのAIの統合、説明可能なAI技術の進歩、不正行為の世界化、不正防止に対する規制の継続的な重点化、検知能力強化のためのリアルタイムデータストリームの統合など、いくつかの主要要因に起因すると考えられます。この期間に予想される主な動向には、急速な技術進歩、規制遵守措置の強化、共同不正検知ネットワークの構築、不正防止に向けた行動バイオメトリクスの採用拡大、不正行為に対抗するためのAIとブロックチェーン技術の融合などがあります。

デジタル決済と国境を越えた取引の採用が増加していることが、当面の不正管理におけるAI市場の成長を牽引する見通しです。デジタル決済やクロスボーダー取引の人気の高まりは、モバイル機器やコンピュータを使用してユーザーが都合のよいときに取引を行うことができる、固有の利便性によって後押しされています。AIを不正管理システムに組み込むことは、デジタル決済プラットフォームのセキュリティと信頼性を確保し、ユーザーと企業の双方を不正行為から守るために極めて重要です。例えば、インド国家決済公社（NPCI）のデータによると、2022年の統一決済インターフェース（UPI）取引の取引額は大幅に増加し、125兆9,500億インドルピー（1兆5,200億米ドル）に達し、前年比で顕著な伸びを示しました。さらに、UPI取引は22年度のインドのGDPの86％以上を占め、デジタル決済ソリューションの普及を裏付けています。その結果、デジタル決済と国境を越えた取引の人気の高まりが、不正管理におけるAI市場の成長軌道を推進する主な要因となっています。

不正管理におけるAI市場の主要プレーヤーは、リアルタイムの不正防御能力を強化するため、特にジェネレーティブAIを活用した不正ソリューションの領域で、技術的進歩に向けた取り組みを進めています。ジェネレーティブAI詐欺ソリューションは、ジェネレーティブAIモデルを活用してテキスト、画像、音声などの欺瞞的コンテンツを作成し、なりすまし、金融詐欺、偽情報に対抗します。例えば、米国を拠点とする詐欺・リスク検知ソフトウェア開発企業のDataVisorは2023年10月、ジェネレーティブAIを活用した詐欺ソリューション「AI Co-Pilot」を発表しました。この革新的なツールは、ジェネレーティブAIを活用して不正検知を自動化し、誤検知を最小限に抑え、ユーザーの摩擦をリアルタイムで軽減します。AI Co-Pilotを不正防止戦略に組み込むことで、金融機関や企業はシームレスな顧客体験を維持しながら、不正行為の検出能力を強化することができます。このシステムは、ルールの自動調整、機能スクリプトの作成とデバッグ、ルール説明の生成などのメリットを提供し、不正管理能力と業務効率を強化します。

目次

第1章 エグゼクティブサマリー

第2章 市場の特徴

第3章 市場動向と戦略

第4章 マクロ経済シナリオ

• 高インフレが市場に与える影響
• ウクライナ・ロシア戦争が市場に与える影響
• COVID-19による市場への影響

第5章 世界の市場規模と成長

• 世界の市場促進要因と抑制要因
  • 市場促進要因
  • 市場抑制要因
• 世界の市場規模実績と成長、2018年～2023年
• 世界の市場規模予測と成長、2023年～2028年、2033年

第6章 市場セグメンテーション

• 世界の不正管理におけるAI市場：ソリューション別、実績と予測, 2018-2023, 2023-2028F, 2033F
• AIを活用した不正防止ソフトウェア
• サービス
• 世界の不正管理におけるAI市場：企業規模別、実績と予測, 2018-2023, 2023-2028F, 2033F
• 中小企業
• 大企業
• 世界の不正管理におけるAI市場：用途別、実績と予測, 2018-2023, 2023-2028F, 2033F
• 個人情報盗難保護
• 支払い詐欺防止
• マネーロンダリング対策
• その他の用途
• 世界の不正管理におけるAI市場：業界別、実績と予測, 2018-2023, 2023-2028F, 2033F
• 銀行、金融サービス、保険
• ITと通信
• ヘルスケア
• 政府
• 教育
• 小売および消費財（CPG）
• メディアとエンターテイメント
• その他の業界

第7章 地域別・国別分析

• 世界の不正管理におけるAI市場：地域別、実績と予測, 2018-2023, 2023-2028F, 2033F
• 世界の不正管理におけるAI市場：国別、実績と予測, 2018-2023, 2023-2028F, 2033F

第8章 アジア太平洋市場

第9章 中国市場

第10章 インド市場

第11章 日本市場

第12章 オーストラリア市場

第13章 インドネシア市場

第14章 韓国市場

第15章 西欧市場

第16章 英国市場

第17章 ドイツ市場

第18章 フランス市場

第19章 イタリア市場

第20章 スペイン市場

第21章 東欧市場

第22章 ロシア市場

第23章 北米市場

第24章 米国市場

第25章 カナダ市場

第26章 南米市場

第27章 ブラジル市場

第28章 中東市場

第29章 アフリカ市場

第30章 競合情勢と企業プロファイル

• 不正管理におけるAI市場：競合情勢
• 不正管理におけるAI市場：企業プロファイル
  • Trusteer
  • Hewlett Packard Enterprise
  • BAE Systems plc
  • Capgemini SE
  • Cognizant Technology Solutions India Private Limited.

第31章 その他の大手企業と革新的企業

• 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 競合ベンチマーキング

第33章 競合ダッシュボード

第34章 主要な合併と買収

第35章 将来の見通しと潜在的な分析

第36章 付録

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.

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 $10.88 billion in 2023 to $13.05 billion in 2024 at a compound annual growth rate (CAGR) of 20%. The growth observed during the historical period can be attributed to several factors, including the rise in cyber threats and data breaches, increasing transaction volumes, the cost associated with fraud, and heightened awareness and education regarding fraudulent activities.

The AI in fraud management market size is expected to see rapid growth in the next few years. It will grow to $26.51 billion in 2028 at a compound annual growth rate (CAGR) of 19.4%. The projected growth in the forecast period can be attributed to several key factors, including the integration of AI into business processes, advancements in explainable AI technologies, the globalization of fraud, continued regulatory emphasis on fraud prevention, and the integration of real-time data streams for enhanced detection capabilities. Major trends expected during this period include rapid technological advancements, heightened regulatory compliance measures, the establishment of collaborative fraud detection networks, increased adoption of behavioral biometrics for fraud prevention, and the convergence of AI and blockchain technologies to combat fraudulent activities.

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 2023. 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 2024 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? 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 impact of sanctions, supply chain disruptions, and altered demand for goods and services due to the Russian Ukraine war, impacting various macro-economic factors and parameters in the Eastern European region and its subsequent effect on global markets.

The impact of higher inflation in many countries and the resulting spike in interest rates.

The continued but declining impact of COVID-19 on supply chains and consumption patterns.

• 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. It covers the growth trajectory of COVID-19 for all regions, key developed countries and major emerging markets.
• 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
• Companies Mentioned: Trusteer; Hewlett Packard Enterprise; BAE Systems plc; Capgemini SE; Cognizant Technology Solutions India Private Limited.
• 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

• 4.1. Impact Of High Inflation On The Market
• 4.2. Ukraine-Russia War Impact On The Market
• 4.3. COVID-19 Impact On The Market

5. Global AI In Fraud Management Market Size and Growth

• 5.1. Global AI In Fraud Management Market Drivers and Restraints
  • 5.1.1. Drivers Of The Market
  • 5.1.2. Restraints Of The Market
• 5.2. Global AI In Fraud Management Historic Market Size and Growth, 2018 - 2023, Value ($ Billion)
• 5.3. Global AI In Fraud Management Forecast Market Size and Growth, 2023 - 2028, 2033F, Value ($ Billion)

6. AI In Fraud Management Market Segmentation

• 6.1. Global AI In Fraud Management Market, Segmentation By Solution, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
• AI-Powered Fraud Prevention Software
• Services
• 6.2. Global AI In Fraud Management Market, Segmentation By Enterprise Size, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
• Small and Medium Enterprises (SMEs)
• Large Enterprises
• 6.3. Global AI In Fraud Management Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
• Banking, Financial Services and Insurance
• IT And Telecom
• Healthcare
• Government
• Education
• Retail And Consumer packaged goods (CPG)
• Media And Entertainment
• Other Industries

7. AI In Fraud Management Market Regional And Country Analysis

• 7.1. Global AI In Fraud Management Market, Split By Region, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
• 7.2. Global AI In Fraud Management Market, Split By Country, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

8. Asia-Pacific AI In Fraud Management Market

• 8.1. Asia-Pacific AI In Fraud Management Market Overview
• Region Information, Impact Of COVID-19, 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, 2018-2023, 2023-2028F, 2033F, $ Billion
• 8.3. Asia-Pacific AI In Fraud Management Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
• 8.4. Asia-Pacific AI In Fraud Management Market, Segmentation By Industry, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F,$ Billion
• 9.3. China AI In Fraud Management Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F,$ Billion
• 9.4. China AI In Fraud Management Market, Segmentation By Industry, Historic and Forecast, 2018-2023, 2023-2028F, 2033F,$ Billion

10. India AI In Fraud Management Market

• 10.1. India AI In Fraud Management Market, Segmentation By Solution, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
• 10.2. India AI In Fraud Management Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
• 10.3. India AI In Fraud Management Market, Segmentation By Industry, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
• 11.3. Japan AI In Fraud Management Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
• 11.4. Japan AI In Fraud Management Market, Segmentation By Industry, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

12. Australia AI In Fraud Management Market

• 12.1. Australia AI In Fraud Management Market, Segmentation By Solution, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
• 12.2. Australia AI In Fraud Management Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
• 12.3. Australia AI In Fraud Management Market, Segmentation By Industry, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

13. Indonesia AI In Fraud Management Market

• 13.1. Indonesia AI In Fraud Management Market, Segmentation By Solution, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
• 13.2. Indonesia AI In Fraud Management Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
• 13.3. Indonesia AI In Fraud Management Market, Segmentation By Industry, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
• 14.3. South Korea AI In Fraud Management Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
• 14.4. South Korea AI In Fraud Management Market, Segmentation By Industry, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
• 15.3. Western Europe AI In Fraud Management Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
• 15.4. Western Europe AI In Fraud Management Market, Segmentation By Industry, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

16. UK AI In Fraud Management Market

• 16.1. UK AI In Fraud Management Market, Segmentation By Solution, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
• 16.2. UK AI In Fraud Management Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
• 16.3. UK AI In Fraud Management Market, Segmentation By Industry, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

17. Germany AI In Fraud Management Market

• 17.1. Germany AI In Fraud Management Market, Segmentation By Solution, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
• 17.2. Germany AI In Fraud Management Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
• 17.3. Germany AI In Fraud Management Market, Segmentation By Industry, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

18. France AI In Fraud Management Market

• 18.1. France AI In Fraud Management Market, Segmentation By Solution, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
• 18.2. France AI In Fraud Management Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
• 18.3. France AI In Fraud Management Market, Segmentation By Industry, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

19. Italy AI In Fraud Management Market

• 19.1. Italy AI In Fraud Management Market, Segmentation By Solution, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
• 19.2. Italy AI In Fraud Management Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
• 19.3. Italy AI In Fraud Management Market, Segmentation By Industry, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

20. Spain AI In Fraud Management Market

• 20.1. Spain AI In Fraud Management Market, Segmentation By Solution, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
• 20.2. Spain AI In Fraud Management Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
• 20.3. Spain AI In Fraud Management Market, Segmentation By Industry, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
• 21.3. Eastern Europe AI In Fraud Management Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
• 21.4. Eastern Europe AI In Fraud Management Market, Segmentation By Industry, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

22. Russia AI In Fraud Management Market

• 22.1. Russia AI In Fraud Management Market, Segmentation By Solution, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
• 22.2. Russia AI In Fraud Management Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
• 22.3. Russia AI In Fraud Management Market, Segmentation By Industry, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
• 23.3. North America AI In Fraud Management Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
• 23.4. North America AI In Fraud Management Market, Segmentation By Industry, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
• 24.3. USA AI In Fraud Management Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
• 24.4. USA AI In Fraud Management Market, Segmentation By Industry, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
• 25.3. Canada AI In Fraud Management Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
• 25.4. Canada AI In Fraud Management Market, Segmentation By Industry, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
• 26.3. South America AI In Fraud Management Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
• 26.4. South America AI In Fraud Management Market, Segmentation By Industry, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

27. Brazil AI In Fraud Management Market

• 27.1. Brazil AI In Fraud Management Market, Segmentation By Solution, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
• 27.2. Brazil AI In Fraud Management Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
• 27.3. Brazil AI In Fraud Management Market, Segmentation By Industry, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
• 28.3. Middle East AI In Fraud Management Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
• 28.4. Middle East AI In Fraud Management Market, Segmentation By Industry, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
• 29.3. Africa AI In Fraud Management Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
• 29.4. Africa AI In Fraud Management Market, Segmentation By Industry, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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
    • 30.2.1.1. Overview
    • 30.2.1.2. Products and Services
    • 30.2.1.3. Strategy
    • 30.2.1.4. Financial Performance
  • 30.2.2. Hewlett Packard Enterprise
    • 30.2.2.1. Overview
    • 30.2.2.2. Products and Services
    • 30.2.2.3. Strategy
    • 30.2.2.4. Financial Performance
  • 30.2.3. BAE Systems plc
    • 30.2.3.1. Overview
    • 30.2.3.2. Products and Services
    • 30.2.3.3. Strategy
    • 30.2.3.4. Financial Performance
  • 30.2.4. Capgemini SE
    • 30.2.4.1. Overview
    • 30.2.4.2. Products and Services
    • 30.2.4.3. Strategy
    • 30.2.4.4. Financial Performance
  • 30.2.5. Cognizant Technology Solutions India Private Limited.
    • 30.2.5.1. Overview
    • 30.2.5.2. Products and Services
    • 30.2.5.3. Strategy
    • 30.2.5.4. Financial Performance

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

33. Global AI In Fraud Management Market Competitive Dashboard

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

35. AI In Fraud Management Market Future Outlook and Potential Analysis

• 35.1 AI In Fraud Management Market In 2028 - Countries Offering Most New Opportunities
• 35.2 AI In Fraud Management Market In 2028 - Segments Offering Most New Opportunities
• 35.3 AI In Fraud Management Market In 2028 - 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