查看购物车
  • Traditional Chinese
  • English
  • Japanese
封面
市场调查报告书
商品编码
1852251

2025年人工智慧（AI）支援的销售点诈骗全球市场报告

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个工作天内

价格
简介目录

近年来，人工智慧 (AI) 赋能的销售点诈骗市场呈指数级增长，从 2024 年的 32.2 亿美元增长至 2025 年的 39.2 亿美元，复合年增长率达 21.6%。这段历史性时期的成长动力源自于网路诈骗率的上升、数位支付交易量的增加、监管合规要求的提高、诈欺性零售交易造成的财务损失的增加，以及线上和行动付款管道的日益普及。

预计未来几年，人工智慧 (AI) 驱动的销售点诈骗市场将呈指数级增长，到 2029 年将达到 84.7 亿美元，复合年增长率为 21.2%。预测期间的预期成长可归因于数位支付和电子商务的扩张、更严格的诈欺预防监管要求、对即时跨通路诈欺检测日益增长的需求、数位支付诈欺事件的增多，以及扩充性的人工智慧解决方案在中小企业中的应用日益普及。这段时期的主要趋势包括自适应诈欺模型的开发、即时交易监控、行为分析的整合、深度学习演算法的进步以及分散式诈欺侦测的创新。

人工智慧 (AI) 支援的 POS诈骗涉及针对 POS 系统的诈欺活动，这些活动由 AI 技术协助或检测，包括使用复杂的演算法执行复杂的诈欺活动以及即时识别和防止诈欺交易。

人工智慧POS机诈欺的关键组成部分包括软体、硬体和服务。软体包括恶意人工智慧工具，旨在操纵交易、模仿合法行为、规避安全措施，从而窃取财务资料和资金。这些解决方案涵盖广泛的功能，包括诈欺侦测、交易监控、身份验证以及风险与合规管理，并且可以本地部署或透过云端部署。这些解决方案面向各种规模的组织，从小型企业到大型企业，服务于零售、酒店、银行和金融服务以及电子商务等多个行业。

2025 年春季美国关税的快速上涨以及由此引发的贸易摩擦对金融业产生了重大影响，尤其是对投资策略和风险管理。关税上涨加剧了市场波动，促使机构投资者采取谨慎行为，并增加了对冲工具的需求。由于关税扰乱了全球供应链，损害了推动股市表现的企业收益，银行和资产管理公司面临与跨境交易相关的成本上升。同时，保险公司正在努力应对与供应链中断和贸易相关业务损失相关的索赔风险增加。此外，消费者支出减弱和出口需求低迷正在限制信贷成长和投资意愿。该行业现在必须优先考虑多元化、数位转型和稳健的情境规划，以应对日益增长的经济不确定性并保护盈利能力。

本研究报告是商业研究公司新报告系列的一部分，该系列提供了人工智慧 (AI)-增强型销售点 (POS) 市场统计数据，包括人工智慧 (AI)-增强型销售点 (POS) 行业的全球市场规模、区域份额、具有人工智慧 (AI)-增强型销售点 (POS) 市场份额的竞争对手、详细的(POS) 行业取得成功所需的数据。这份人工智慧 (AI)-增强型销售点 (POS) 市场研究报告提供了所有必要的完整观点，并对产业当前和未来情境进行了详细分析。

随着智慧型手机和网路普及率的提高，数位支付交易量不断增长，这推动了人工智慧 (AI) 驱动的销售点 (POS)诈骗市场的成长。虽然数位支付解决方案提供了便利的电子资金转账，但也增加了诈欺风险。基于人工智慧的 POS 诈欺侦测技术可以即时分析交易模式，识别并预防可疑活动，从而降低财务风险并增强对支付系统的信任，从而解决这个问题。例如，预计到 2023 年，欧洲非接触感应卡支付将激增 24.3%，达到 209 亿，这凸显了人们对数位支付日益增长的依赖以及对强大的诈欺检测解决方案的需求。

人工智慧 (AI) 支援的销售点 (POS)诈骗市场由提供系统整合、实施支援、培训和教育、诈欺分析外包、维护和升级、风险评估服务和合规支援等服务的企业所获得的收益组成。市场价值包括服务供应商销售的或包含在其服务产品中的相关产品的价值。人工智慧 (AI) 支援的 POS诈骗市场还包括诈骗侦测软体、交易监控工具、即时风险评分引擎、行为分析平台、装置指纹辨识系统、警报管理仪表板和异常侦测系统的销售。此市场价值是“出厂价”，即商品製造商或创造者出售给其他营业单位（包括下游製造商、批发商、经销商和零售商）或直接出售给最终客户的商品价值。该市场中的商品价值还包括商品创造者出售的任何相关服务。

目录

第一章执行摘要

第二章 市场特征

第三章 市场趋势与策略

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

第五章 全球成长分析与策略分析框架

  • 全球人工智慧 (AI) 引发的销售点诈骗：PESTEL 分析（政治、社会、技术、环境、法律因素、驱动因素和限制因素）
  • 最终用途产业分析
  • 全球人工智慧（AI）POS诈骗市场：成长率分析
  • 全球人工智慧 (AI) 支援的 POS诈骗市场表现：规模与成长，2019-2024 年
  • 全球人工智慧 (AI) POS诈骗市场预测：规模与成长，2024-2029 年，2034 年
  • 全球人工智慧 (AI) 支援的销售点诈骗：总潜在市场 (TAM)

第六章 市场细分

  • 全球人工智慧 (AI) POS诈骗市场：按组件、实际和预测，2019-2024 年、2024-2029 年、2034 年
  • 软体
  • 硬体
  • 服务
  • 全球人工智慧 (AI) POS诈骗市场（按解决方案类型、效能和预测），2019-2024 年、2024-2029 年、2034 年
  • 诈欺侦测
  • 交易监控
  • 身份验证
  • 风险与合规管理
  • 其他解决方案类型
  • 全球人工智慧 (AI) POS诈骗市场：按部署模式、实际结果和预测，2019-2024 年、2024-2029 年、2034 年
  • 本地部署
  • 云
  • 全球人工智慧 (AI) 支援的 POS诈骗市场：按组织规模、实际结果和预测，2019-2024 年、2024-2029 年、2034 年
  • 小型企业
  • 大公司
  • 全球人工智慧 (AI) POS诈骗市场：按最终用户、实际和预测，2019-2024 年、2024-2029 年、2034 年
  • 零售
  • 饭店业
  • 银行和金融服务
  • 电子商务
  • 其他最终用户
  • 全球人工智慧 (AI) POS诈骗市场：按软体类型细分、实际结果和预测，2019-2024 年、2024-2029 年、2034 年
  • 交易监控软体
  • 诈骗侦测软体
  • 风险管理软体
  • 行为分析软体
  • 全球人工智慧 (AI) 支援的 POS诈骗市场：按硬体（类型）细分，实际和预测，2019-2024 年、2024-2029 年、2034 年
  • POS终端
  • 生物识别
  • 读卡器
  • 安全付款闸道
  • 全球人工智慧 (AI) POS诈骗市场：按服务类型细分、实际结果和预测，2019-2024 年、2024-2029 年、2034 年
  • 诈骗调查服务
  • 咨询和顾问服务
  • 实施和整合服务
  • 培训和支援服务

第七章 区域和国家分析

  • 全球人工智慧 (AI) POS诈骗市场：按地区、实际结果和预测，2019-2024 年、2024-2029 年、2034 年
  • 全球人工智慧 (AI) POS诈骗市场：国家/地区、业绩及预测（2019-2024 年、2024-2029 年及 2034 年）

第八章 亚太市场

第九章：中国市场

第十章 印度市场

第十一章 日本市场

第十二章：澳洲市场

第十三章 印尼市场

第十四章 韩国市场

第十五章：西欧市场

第十六章英国市场

第十七章：德国市场

第18章：法国市场

第十九章：义大利市场

第20章：西班牙市场

第21章 东欧市场

第22章：俄罗斯市场

第23章 北美市场

第24章美国市场

第25章：加拿大市场

第26章 南美洲市场

第27章：巴西市场

第28章 中东市场

第29章：非洲市场

第30章：竞争格局与公司概况

  • 人工智慧（AI）支援的销售点诈骗市场：竞争格局
  • 人工智慧（AI）支援的销售点诈骗市场：公司简介
    • 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：其他领先和创新企业

  • 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 章全球市场竞争基准化分析与仪表板

第33章 重大併购

第34章近期市场趋势

第 35 章：高潜力市场国家、细分市场与策略

  • 2029年人工智慧（AI）POS诈骗市场：提供新机会的国家
  • 2029年人工智慧（AI）POS诈骗市场：细分领域带来新机会
  • 2029年人工智慧（AI）POS诈骗市场：成长策略
    • 基于市场趋势的策略
    • 竞争对手策略

第36章 附录

简介目录
Product Code: 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.

Reasons to Purchase

  • Gain a truly global perspective with the most comprehensive report available on this market covering 15 geographies.
  • Assess the impact of key macro factors such as geopolitical conflicts, trade policies and tariffs, post-pandemic supply chain realignment, inflation and interest rate fluctuations, and evolving regulatory landscapes.
  • Create regional and country strategies on the basis of local data and analysis.
  • Identify growth segments for investment.
  • Outperform competitors using forecast data and the drivers and trends shaping the market.
  • Understand customers based on the latest market shares.
  • Benchmark performance against key competitors.
  • Suitable for supporting your internal and external presentations with reliable high quality data and analysis
  • Report will be updated with the latest data and delivered to you within 2-3 working days of order along with an Excel data sheet for easy data extraction and analysis.
  • All data from the report will also be delivered in an excel dashboard format.

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