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市場調查報告書
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1852251

2025年人工智慧（AI）支援的銷售點詐騙全球市場報告

Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud 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 (AI) 賦能的銷售點詐騙市場呈指數級成長，從 2024 年的 32.2 億美元成長至 2025 年的 39.2 億美元，複合年成長率達 21.6%。這段歷史性時期的成長動力源自於網路詐騙率的上升、數位支付交易量的增加、監管合規要求的提高、詐欺性零售交易造成的財務損失的增加，以及線上和行動付款管道的日益普及。

預計未來幾年，人工智慧 (AI) 驅動的銷售點詐騙市場將呈指數級成長，到 2029 年將達到 84.7 億美元，複合年成長率為 21.2%。預測期間的預期成長可歸因於數位支付和電子商務的擴張、更嚴格的詐欺預防監管要求、對即時跨通路詐欺檢測日益成長的需求、數位支付詐欺事件的增多，以及擴充性的人工智慧解決方案在中小企業中的應用日益普及。這段時期的主要趨勢包括自適應詐欺模型的開發、即時交易監控、行為分析的整合、深度學習演算法的進步以及分散式詐欺偵測的創新。

人工智慧 (AI) 支援的 POS詐騙涉及針對 POS 系統的詐欺活動，這些活動由 AI 技術協助或檢測，包括使用複雜的演算法執行複雜的詐欺活動以及即時識別和防止詐欺交易。

人工智慧POS機詐欺的關鍵組成部分包括軟體、硬體和服務。軟體包括惡意人工智慧工具，旨在操縱交易、模仿合法行為、規避安全措施，從而竊取財務資料和資金。這些解決方案涵蓋廣泛的功能，包括詐欺偵測、交易監控、身份驗證以及風險與合規管理，並且可以本地部署或透過雲端部署。這些解決方案面向各種規模的組織，從小型企業到大型企業，服務於零售、酒店、銀行和金融服務以及電子商務等多個行業。

2025 年春季美國關稅的快速上漲以及由此引發的貿易摩擦對金融業產生了重大影響，尤其是對投資策略和風險管理。關稅上漲加劇了市場波動，促使機構投資者採取謹慎行為，並增加了對沖工具的需求。由於關稅擾亂了全球供應鏈，損害了推動股市表現的企業收益，銀行和資產管理公司面臨與跨境交易相關的成本上升。同時，保險公司正在努力應對與供應鏈中斷和貿易相關業務損失相關的索賠風險增加。此外，消費者支出減弱和出口需求低迷正在限制信貸成長和投資意願。該行業現在必須優先考慮多元化、數位轉型和穩健的情境規劃，以應對日益成長的經濟不確定性並保護盈利能力。

本研究報告是商業研究公司新報告系列的一部分，該系列提供了人工智慧 (AI)-增強型銷售點 (POS) 市場統計數據，包括人工智慧 (AI)-增強型銷售點 (POS) 行業的全球市場規模、區域佔有率、具有人工智慧 (AI)-增強型銷售點 (POS) 市場佔有率的競爭對手、詳細的(POS) 行業取得成功所需的數據。這份人工智慧 (AI)-增強型銷售點 (POS) 市場研究報告提供了所有必要的完整觀點，並對產業當前和未來情境進行了詳細分析。

隨著智慧型手機和網路普及率的提高，數位支付交易量不斷成長，這推動了人工智慧 (AI) 驅動的銷售點 (POS)詐騙市場的成長。雖然數位支付解決方案提供了便利的電子資金轉賬，但也增加了詐欺風險。基於人工智慧的 POS 詐欺偵測技術可以即時分析交易模式，識別並預防可疑活動，從而降低財務風險並增強對支付系統的信任，從而解決這個問題。例如，預計到 2023 年，歐洲非接觸感應卡支付將激增 24.3%，達到 209 億，這凸顯了人們對數位支付日益成長的依賴以及對強大的詐欺檢測解決方案的需求。

人工智慧 (AI) 支援的銷售點 (POS)詐騙市場由提供系統整合、實施支援、培訓和教育、詐欺分析外包、維護和升級、風險評估服務和合規支援等服務的企業所獲得的收益組成。市場價值包括服務供應商銷售的或包含在其服務產品中的相關產品的價值。人工智慧 (AI) 支援的 POS詐騙市場還包括詐騙偵測軟體、交易監控工具、即時風險評分引擎、行為分析平台、裝置指紋辨識系統、警報管理儀表板和異常偵測系統的銷售。此市場價值是“出廠價”，即商品製造商或創造者出售給其他營業單位（包括下游製造商、批發商、經銷商和零售商）或直接出售給最終客戶的商品價值。該市場中的商品價值還包括商品創造者出售的任何相關服務。

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 (AI) 引發的銷售點詐騙：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
  • 全球人工智慧（AI）POS詐騙市場：成長率分析
  • 全球人工智慧 (AI) 支援的 POS詐騙市場表現：規模與成長，2019-2024 年
  • 全球人工智慧 (AI) POS詐騙市場預測：規模與成長，2024-2029 年，2034 年
  • 全球人工智慧 (AI) 支援的銷售點詐騙：總潛在市場 (TAM)

第6章 市場細分

  • 全球人工智慧 (AI) POS詐騙市場：按組件、實際和預測，2019-2024 年、2024-2029 年、2034 年
  • 軟體
  • 硬體
  • 服務
  • 全球人工智慧 (AI) POS詐騙市場（按解決方案類型、效能和預測），2019-2024 年、2024-2029 年、2034 年
  • 詐欺偵測
  • 交易監控
  • 身份驗證
  • 風險與合規管理
  • 其他解決方案類型
  • 全球人工智慧 (AI) POS詐騙市場：按部署模式、實際結果和預測，2019-2024 年、2024-2029 年、2034 年
  • 本地部署
  • 雲
  • 全球人工智慧 (AI) 支援的 POS詐騙市場：按組織規模、實際結果和預測，2019-2024 年、2024-2029 年、2034 年
  • 小型企業
  • 主要企業
  • 全球人工智慧 (AI) POS詐騙市場：按最終用戶、實際和預測，2019-2024 年、2024-2029 年、2034 年
  • 零售
  • 飯店業
  • 銀行和金融服務
  • 電子商務
  • 其他最終用戶
  • 全球人工智慧 (AI) POS詐騙市場：按軟體類型細分、實際結果和預測，2019-2024 年、2024-2029 年、2034 年
  • 交易監控軟體
  • 詐騙偵測軟體
  • 風險管理軟體
  • 行為分析軟體
  • 全球人工智慧 (AI) 支援的 POS詐騙市場：按硬體（類型）細分，實際和預測，2019-2024 年、2024-2029 年、2034 年
  • POS終端
  • 生物識別
  • 讀卡器
  • 安全付款閘道
  • 全球人工智慧 (AI) POS詐騙市場：按服務類型細分、實際結果和預測，2019-2024 年、2024-2029 年、2034 年
  • 詐騙調查服務
  • 諮詢和顧問服務
  • 實施和整合服務
  • 培訓和支援服務

第7章 區域和國家分析

  • 全球人工智慧 (AI) POS詐騙市場：按地區、實際結果和預測，2019-2024 年、2024-2029 年、2034 年
  • 全球人工智慧 (AI) POS詐騙市場：國家/地區、業績及預測（2019-2024 年、2024-2029 年及 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（AI）支援的銷售點詐騙市場：競爭格局
  • 人工智慧（AI）支援的銷售點詐騙市場：公司簡介
    • Amazon Web Services Inc. Overview, Products and Services, Strategy and Financial Analysis
    • International Business Machines Corporation Overview, Products and Services, Strategy and Financial Analysis
    • Oracle Corporation Overview, Products and Services, Strategy and Financial Analysis
    • PayPal Holdings Inc. Overview, Products and Services, Strategy and Financial Analysis
    • Stripe Inc. Overview, Products and Services, Strategy and Financial Analysis

第31章：其他領先和創新企業

  • ClearSale SA
  • Jumio Corporation
  • Feedzai SA
  • Signifyd Inc.
  • Matellio Inc.
  • Neural Technologies Ltd.
  • DataVisor Inc.
  • ZestFinance Inc.
  • Hawk AI GmbH
  • Ginesys
  • Tookitaki Holding Pte Ltd.
  • ComplyAdvantage Ltd.
  • DataDome SAS
  • Sift Science Inc.
  • Sardine AI Corp.

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（AI）POS詐騙市場：提供新機會的國家
  • 2029年人工智慧（AI）POS詐騙市場：細分領域帶來新機會
  • 2029年人工智慧（AI）POS詐騙市場：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: r37957

Artificial intelligence (AI)-enhanced point-of-sale (POS) fraud involves fraudulent activities targeting POS systems that are either facilitated by or detected through AI technologies. This includes using advanced algorithms to carry out sophisticated fraud or to identify and prevent unauthorized transactions in real time.

The primary components of AI-enhanced POS fraud consist of software, hardware, and services. Software encompasses malicious AI tools designed to manipulate transactions, imitate legitimate behavior, and bypass security measures to steal financial data or funds. These solutions come in various types, including fraud detection, transaction monitoring, identity verification, risk and compliance management, among others, and can be deployed on-premises or via the cloud. They are intended for organizations of all sizes, ranging from small and medium enterprises to large corporations, and serve multiple sectors such as retail, hospitality, banking and financial services, e-commerce, 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 rapid escalation of U.S. tariffs and the resulting trade tensions in spring 2025 are significantly impacting the financial sector, particularly in investment strategies and risk management. Heightened tariffs have fueled market volatility, prompting cautious behavior among institutional investors and increasing demand for hedging instruments. Banks and asset managers are facing higher costs associated with cross-border transactions, as tariffs disrupt global supply chains and dampen corporate earnings, key drivers of equity market performance. Insurance companies, meanwhile, are grappling with increased claims risks tied to supply chain disruptions and trade-related business losses. Additionally, reduced consumer spending and weakened export demand are constraining credit growth and investment appetite. The sector must now prioritize diversification, digital transformation, and robust scenario planning to navigate the heightened economic uncertainty and protect profitability.

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

The artificial intelligence (AI)-enhanced point-of-sale (POS) fraud market size has grown exponentially in recent years. It will grow from $3.22 billion in 2024 to $3.92 billion in 2025 at a compound annual growth rate (CAGR) of 21.6%. The growth during the historic period can be credited to the rising incidence of cyber fraud, increased volumes of digital payment transactions, heightened regulatory compliance demands, growing financial losses due to fraudulent retail transactions, and the expanding use of online and mobile payment platforms.

The artificial intelligence (AI)-enhanced point-of-sale (POS) fraud market size is expected to see exponential growth in the next few years. It will grow to $8.47 billion in 2029 at a compound annual growth rate (CAGR) of 21.2%. The growth expected in the forecast period can be attributed to the expansion of digital payments and e-commerce, stricter regulatory requirements for fraud prevention, an increasing demand for real-time cross-channel fraud detection, rising incidents of digital payment fraud, and greater adoption by small and medium enterprises due to scalable AI solutions. Key trends during this period include the development of adaptive fraud models, real-time transaction monitoring, integration of behavioral analytics, advancements in deep learning algorithms, and innovations in decentralized fraud detection.

The rise in digital payment transactions, driven by increased smartphone and internet penetration, is fueling the growth of the artificial intelligence (AI)-enhanced point-of-sale (POS) fraud market. Digital payment solutions offer accessible and convenient electronic money transfers, but also increase the risk of fraudulent activities. AI-powered POS fraud detection addresses this by analyzing transaction patterns in real time to identify and prevent suspicious activities, thereby reducing financial risks and enhancing trust in payment systems. For example, in 2023, contactless card payments in Europe surged by 24.3% to 20.9 billion, highlighting the growing reliance on digital payments and the consequent need for robust fraud detection solutions.

Major companies in the AI-enhanced point-of-sale (POS) fraud market are developing advanced AI-powered fraud detection platforms to improve real-time transaction security and minimize financial losses. These platforms use efficient AI algorithms to quickly identify and prevent fraudulent activities without heavy computational demands. For example, in July 2025, India-based Subex Limited launched FraudZap, a lightweight AI fraud detection system designed for telecom operators. FraudZap offers high agility and precision, enabling rapid deployment and real-time fraud control through continuously learning AI models, all while keeping costs and implementation efforts low.

In December 2024, Visa Inc., a US-based digital payments and fintech leader, acquired UK-based Featurespace Limited for \$0.945 billion to strengthen its global fraud detection capabilities. This acquisition enables Visa to integrate Featurespace's AI-powered real-time payments protection technology, enhancing security, reducing financial crime, and delivering seamless fraud prevention solutions for both clients and consumers in the point-of-sale (POS) environment.

Major players in the artificial intelligence (ai)-enhanced point-of-sale (pos) fraud market are Amazon Web Services Inc., International Business Machines Corporation, Oracle Corporation, PayPal Holdings Inc., Stripe Inc., ClearSale S.A., Jumio Corporation, Feedzai S.A., Signifyd Inc., Matellio Inc., Neural Technologies Ltd., DataVisor Inc., ZestFinance Inc., Hawk AI GmbH, Ginesys, Tookitaki Holding Pte Ltd., ComplyAdvantage Ltd., DataDome SAS, Sift Science Inc., and Sardine AI Corp.

North America was the largest region in the artificial intelligence (AI)-enhanced point-of-sale (POS) fraud market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in artificial intelligence (AI)-enhanced point-of-sale (POS) fraud report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa.

The countries covered in the artificial intelligence (AI)-enhanced point-of-sale (POS) fraud market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The artificial intelligence (AI)-enhanced point-of-sale (POS) fraud market consists of revenues earned by entities by providing services such as system integration, deployment support, training and education, fraud analytics outsourcing, maintenance and upgrades, risk assessment services, and compliance support. The market value includes the value of related goods sold by the service provider or included within the service offering. The artificial intelligence (AI)-enhanced point-of-sale (POS) fraud market also includes sales of fraud detection software, transaction monitoring tools, real-time risk scoring engines, behavioral analytics platforms, device fingerprinting systems, alert management dashboards, and anomaly detection 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.

Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud 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 artificial intelligence (ai)-enhanced point-of-sale (pos) fraud 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 artificial intelligence (ai)-enhanced point-of-sale (pos) fraud ? 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 artificial intelligence (ai)-enhanced point-of-sale (pos) fraud 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 Component: Software; Hardware; Services
  • 2) By Solution Type: Fraud Detection; Transaction Monitoring; Identity Verification; Risk And Compliance Management; Other Solution Types
  • 3) By Deployment Mode: On-Premises; Cloud
  • 4) By Organization Size: Small And Medium Enterprises; Large Enterprises
  • 5) By End-User: Retail; Hospitality; Banking And Financial Services; E-commerce; Other End Users
  • Subsegments:
  • 1) By Software: Transaction Monitoring Software; Fraud Detection Software; Risk Management Software; Behavioral Analytics Software
  • 2) By Hardware: Point-Of-Sale Terminals; Biometric Authentication Devices; Card Readers; Secure Payment Gateways
  • 3) By Services: Fraud Investigation Services; Consulting And Advisory Services; Implementation And Integration Services; Training And Support Services
  • Companies Mentioned: Amazon Web Services Inc.; International Business Machines Corporation; Oracle Corporation; PayPal Holdings Inc.; Stripe Inc.; ClearSale S.A.; Jumio Corporation; Feedzai S.A.; Signifyd Inc.; Matellio Inc.; Neural Technologies Ltd.; DataVisor Inc.; ZestFinance Inc.; Hawk AI GmbH; Ginesys; Tookitaki Holding Pte Ltd.; ComplyAdvantage Ltd.; DataDome SAS; Sift Science Inc.; Sardine AI Corp.
  • 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. Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market Characteristics

3. Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market Trends And Strategies

4. Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud 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 Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Growth Analysis And Strategic Analysis Framework

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

6. Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market Segmentation

  • 6.1. Global Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Software
  • Hardware
  • Services
  • 6.2. Global Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Solution Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Fraud Detection
  • Transaction Monitoring
  • Identity Verification
  • Risk And Compliance Management
  • Other Solution Types
  • 6.3. Global Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • On-Premises
  • Cloud
  • 6.4. Global Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Small And Medium Enterprises
  • Large Enterprises
  • 6.5. Global Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By End-User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Retail
  • Hospitality
  • Banking And Financial Services
  • E-commerce
  • Other End Users
  • 6.6. Global Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Sub-Segmentation Of Software, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Transaction Monitoring Software
  • Fraud Detection Software
  • Risk Management Software
  • Behavioral Analytics Software
  • 6.7. Global Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Sub-Segmentation Of Hardware, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Point-Of-Sale Terminals
  • Biometric Authentication Devices
  • Card Readers
  • Secure Payment Gateways
  • 6.8. Global Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Sub-Segmentation Of Services, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Fraud Investigation Services
  • Consulting And Advisory Services
  • Implementation And Integration Services
  • Training And Support Services

7. Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market Regional And Country Analysis

  • 7.1. Global Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Split By Region, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 7.2. Global Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Split By Country, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

8. Asia-Pacific Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market

  • 8.1. Asia-Pacific Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud 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 Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 8.3. Asia-Pacific Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Solution Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 8.4. Asia-Pacific Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

9. China Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market

  • 9.1. China Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market Overview
  • 9.2. China Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
  • 9.3. China Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Solution Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
  • 9.4. China Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion

10. India Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market

  • 10.1. India Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 10.2. India Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Solution Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 10.3. India Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

11. Japan Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market

  • 11.1. Japan Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market Overview
  • 11.2. Japan Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 11.3. Japan Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Solution Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 11.4. Japan Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

12. Australia Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market

  • 12.1. Australia Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 12.2. Australia Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Solution Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 12.3. Australia Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

13. Indonesia Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market

  • 13.1. Indonesia Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 13.2. Indonesia Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Solution Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 13.3. Indonesia Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

14. South Korea Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market

  • 14.1. South Korea Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market Overview
  • 14.2. South Korea Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 14.3. South Korea Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Solution Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 14.4. South Korea Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

15. Western Europe Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market

  • 15.1. Western Europe Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market Overview
  • 15.2. Western Europe Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 15.3. Western Europe Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Solution Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 15.4. Western Europe Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

16. UK Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market

  • 16.1. UK Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 16.2. UK Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Solution Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 16.3. UK Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

17. Germany Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market

  • 17.1. Germany Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 17.2. Germany Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Solution Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 17.3. Germany Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

18. France Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market

  • 18.1. France Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 18.2. France Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Solution Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 18.3. France Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

19. Italy Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market

  • 19.1. Italy Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 19.2. Italy Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Solution Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 19.3. Italy Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

20. Spain Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market

  • 20.1. Spain Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 20.2. Spain Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Solution Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 20.3. Spain Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

21. Eastern Europe Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market

  • 21.1. Eastern Europe Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market Overview
  • 21.2. Eastern Europe Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 21.3. Eastern Europe Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Solution Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 21.4. Eastern Europe Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

22. Russia Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market

  • 22.1. Russia Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 22.2. Russia Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Solution Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 22.3. Russia Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

23. North America Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market

  • 23.1. North America Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market Overview
  • 23.2. North America Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 23.3. North America Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Solution Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 23.4. North America Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

24. USA Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market

  • 24.1. USA Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market Overview
  • 24.2. USA Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 24.3. USA Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Solution Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 24.4. USA Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

25. Canada Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market

  • 25.1. Canada Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market Overview
  • 25.2. Canada Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 25.3. Canada Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Solution Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 25.4. Canada Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

26. South America Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market

  • 26.1. South America Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market Overview
  • 26.2. South America Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 26.3. South America Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Solution Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 26.4. South America Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

27. Brazil Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market

  • 27.1. Brazil Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 27.2. Brazil Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Solution Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 27.3. Brazil Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

28. Middle East Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market

  • 28.1. Middle East Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market Overview
  • 28.2. Middle East Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 28.3. Middle East Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Solution Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 28.4. Middle East Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

29. Africa Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market

  • 29.1. Africa Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market Overview
  • 29.2. Africa Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 29.3. Africa Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Solution Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 29.4. Africa Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

30. Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market Competitive Landscape And Company Profiles

  • 30.1. Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market Competitive Landscape
  • 30.2. Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market Company Profiles
    • 30.2.1. Amazon Web Services Inc. Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.2. International Business Machines Corporation Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.3. Oracle Corporation Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.4. PayPal Holdings Inc. Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.5. Stripe Inc. Overview, Products and Services, Strategy and Financial Analysis

31. Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market Other Major And Innovative Companies

  • 31.1. ClearSale S.A.
  • 31.2. Jumio Corporation
  • 31.3. Feedzai S.A.
  • 31.4. Signifyd Inc.
  • 31.5. Matellio Inc.
  • 31.6. Neural Technologies Ltd.
  • 31.7. DataVisor Inc.
  • 31.8. ZestFinance Inc.
  • 31.9. Hawk AI GmbH
  • 31.10. Ginesys
  • 31.11. Tookitaki Holding Pte Ltd.
  • 31.12. ComplyAdvantage Ltd.
  • 31.13. DataDome SAS
  • 31.14. Sift Science Inc.
  • 31.15. Sardine AI Corp.

32. Global Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market

34. Recent Developments In The Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market

35. Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market High Potential Countries, Segments and Strategies

  • 35.1 Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market In 2029 - Countries Offering Most New Opportunities
  • 35.2 Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market In 2029 - Segments Offering Most New Opportunities
  • 35.3 Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud 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