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市场调查报告书
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1852270

2025年人工智慧(AI)驱动的数位商务诈骗防护全球市场报告

Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Global Market Report 2025

出版日期: | 出版商: The Business Research Company | 英文 250 Pages | 商品交期: 2-10个工作天内

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简介目录

近年来,人工智慧 (AI) 赋能的数位商务诈骗市场呈指数级增长,市场规模从 2024 年的 68.4 亿美元增长至 2025 年的 85.1 亿美元,复合年增长率达 24.3%。这段历史性时期的成长动力源自于以下因素:线上交易的增加、交易安全意识的增强、金融服务中身分验证需求的不断增长、对减少扣回争议帐款的重视以及消费者对数位支付方式日益增长的偏好。

预计未来几年,人工智慧 (AI) 赋能的数位商务诈骗市场将呈指数级增长,到 2029 年将达到 200.4 亿美元,年复合成长率(CAGR)为 23.9%。预测期内的潜在成长动力包括:即时交易监控需求的不断增长、线上零售平台的扩张、对客户信任和忠诚度的日益关注、对安全高价值交易日益增长的需求,以及对全通路交易安全的日益关注。预计在此期间的主要趋势包括:多层安全框架的演进、整合诈欺侦测模型的创新、身分验证工作流程的改进、基于地理位置的安全通讯协定的采用,以及进阶诈欺风险评分模型的开发。

人工智慧驱动的数位诈骗) 是一种技术解决方案,利用人工智慧演算法来侦测、预防和缓解线上交易中的诈骗。它能够即时分析交易模式、识别异常并标记可疑行为,并持续从新数据中学习,以提高准确性并适应不断变化的诈骗技术,同时降低财务风险。

人工智慧驱动的数位商务反诈骗防护的核心组件包括软体和服务。软体由数位工具和应用程式组成,这些工具和应用程式可执行自动化任务、处理资料并简化跨计算系统的操作。这些解决方案可以在本地部署或透过云端部署,适用于从中小型企业 (SME) 到大型企业的各种规模的企业。这些解决方案适用于支付诈骗侦测、帐户盗用预防、身分验证和扣回争议帐款缓解等领域,并广泛应用于电子商务、零售、银行、金融服务和保险 (BFSI)、旅游和饭店等行业。

2025年春季,美国关税的快速上调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并降低了企业收益(而利润是影响股市表现的主要因素),银行和资产管理公司面临着与跨境交易相关的成本上升。同时,保险公司正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,消费支出减弱和出口需求疲软正在抑制信贷成长和投资意愿。保险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。

本研究报告是商业研究公司(The Business Research Company)新报告系列的一部分,该系列提供人工智慧(AI)驱动的数位商务诈骗市场统计数据,包括全球市场规模、各地区份额、竞争对手的人工智慧(AI)驱动的数位商务反诈骗市场份额、人工智慧(AI)驱动的诈骗诈骗诈骗报告对该行业的现状和未来趋势进行了详细分析,为您提供了全面概述,涵盖了您需要了解的所有内容。

电子商务平台的日益普及预计将在未来几年推动人工智慧驱动的数位商务诈骗防护市场的发展。电子商务平台是线上市场和零售网站,方便透过网路购买和销售产品和服务。互联网普及率的提高使更多消费者能够从任何地方访问网路商店、比较产品和便利地购物,这极大地促进了电子商务平台的成长。人工智慧驱动的数位商务诈欺防护透过即时侦测和防止非法贸易、保护客户信任、最大限度地减少财务损失以及确保安全无缝的购物体验来支援这些平台。例如,根据美国人口普查局的数据,2025 年第二季美国零售电子商务销售额达到 2,929 亿美元,较第一季成长 6.2%。与 2024 年第二季相比,电子商务销售额成长了 5.3%,而同期整体零售额成长了 3.8%。电子商务平台的快速普及正在推动人工智慧驱动的数位商务诈骗防护市场的成长。

人工智慧数位商务反诈骗盾市场的关键参与者正在开发先进的解决方案,例如人工智慧反诈骗系统,以即时识别和防止非法贸易。这些系统使用人工智慧分析交易、侦测可疑模式并防止诈骗活动,从而减少财务损失、最大限度地减少误拒并增强客户对网路购物的信任。例如,2025 年 3 月,美国电子商务诈骗和风险情报解决方案提供商 Riskified Ltd. 推出了 Adaptive Checkout,这是一款人工智慧诈骗工具,旨在透过根据交易风险状况和消费者历史记录调整每个结帐流程来优化电子商务转换率。该系统仅对高风险订单应用选择性检验步骤,例如 CVV、OTP 和 3DS,同时允许低风险客户无缝完成购买。正如 TickPick 等客户所证明的那样,这种方法使商家能够核准更多合法交易、有效阻止诈欺并增加收益。自我调整结帐有效地平衡了诈欺预防和最大化核准以支援电子商务成长。

2025年1月,美国软体公司Chainalysis Inc.以约1.5亿美元收购了Alterya Ltd.。此次收购将使Chainalysis能够利用Alterya的人工智慧主导的诈欺检测技术,为加密货币和传统支付系统提供全面、即时的诈欺预防,从而加强交易所和钱包提供商的KYC和合规流程,减少诈骗损失,并增强其大规模检测和预防诈欺的能力。 Alterya Ltd.总部位于以色列,专注于为金融科技和网路安全产业提供人工智慧驱动的诈欺侦测解决方案。

人工智慧 (AI) 驱动的数位商务诈骗市场由提供诈骗相关法规合规支援、机器学习模型训练和客製化、诈骗咨询和策略咨询、行​​为分析和异常检测以及威胁情报和报告服务等服务的实体所获得的收入构成。市场价值包括服务供应商销售或包含在其服务产品中的相关产品的收益。人工智慧 (AI) 驱动的营业单位商务诈骗市场还包括基于规则的诈欺检测引擎、交易风险管理工具、云端基础的诈欺分析仪表板、行为生物识别软体以及机器人检测和缓解工具的销售。此市场价值是“出厂价”,即商品製造商或创造者销售给其他营业单位(包括下游製造商、批发商、经销商和零售商)或直接销售给最终客户的商品价值。该市场中的商品价值也包括商品创造者销售的相关服务。

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) 驱动的数位商务诈骗防护: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)驱动的数位商务诈骗防护市场:成长率分析
  • 全球人工智慧 (AI) 驱动的数位商务诈骗市场表现:规模与成长,2019-2024 年
  • 全球人工智慧 (AI) 支援的数位商务诈骗市场预测:规模与成长,2024-2029 年,2034 年
  • 全球人工智慧 (AI) 驱动的数位商务诈骗盾:总潜在市场 (TAM)

第六章 市场细分

  • 全球人工智慧 (AI) 驱动的数位商务诈骗市场:按组件、实际和预测,2019-2024 年、2024-2029 年、2034 年
  • 软体
  • 服务
  • 全球人工智慧 (AI) 驱动的数位商务诈骗市场:按部署模式、实际结果和预测,2019-2024 年、2024-2029 年、2034 年
  • 本地部署
  • 全球人工智慧 (AI) 驱动的数位商务诈骗市场:按公司规模、实际结果和预测,2019-2024 年、2024-2029 年、2034 年
  • 小型企业
  • 大公司
  • 全球人工智慧 (AI) 驱动的数位商务诈骗市场:按应用、实际结果和预测,2019-2024 年、2024-2029 年、2034 年
  • 支付诈骗检测
  • 帐户接管预防
  • 身份验证
  • 预防扣回争议帐款
  • 其他用途
  • 全球人工智慧 (AI) 驱动的数位商务诈骗市场:按最终用户、实际和预测,2019-2024 年、2024-2029 年、2034 年
  • 电子商务
  • 零售
  • 银行金融服务和保险(BFSI)
  • 旅游与饭店
  • 其他最终用户
  • 全球人工智慧 (AI) 驱动的数位商务诈骗市场:按软体(类型)细分,实际及预测,2019-2024 年、2024-2029 年、2034 年
  • 诈欺检测与预防
  • 风险与合规管理
  • 身份验证和认证
  • 行为分析
  • 支付诈骗监控
  • 仪表板和报告工具
  • 全球人工智慧 (AI) 驱动的数位商务诈骗市场:按服务类型细分、实际结果和预测,2019-2024 年、2024-2029 年、2034 年
  • 专业服务
  • 咨询服务
  • 实施与整合
  • 培训和支援服务
  • 託管服务

第七章 区域和国家分析

  • 全球人工智慧 (AI) 驱动的数位商务诈骗市场: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) 驱动的数位商务诈骗市场:按国家/地区、实际结果和预测,2019-2024 年、2024-2029 年、2034 年

第八章 亚太市场

第九章:中国市场

第十章 印度市场

第十一章 日本市场

第十二章:澳洲市场

第十三章 印尼市场

第十四章 韩国市场

第十五章:西欧市场

第十六章英国市场

第十七章:德国市场

第18章:法国市场

第十九章:义大利市场

第20章:西班牙市场

第21章 东欧市场

第22章:俄罗斯市场

第23章 北美市场

第24章美国市场

第25章:加拿大市场

第26章 南美洲市场

第27章:巴西市场

第28章 中东市场

第29章:非洲市场

第30章:竞争格局与公司概况

  • 人工智慧(AI)驱动的数位商务诈骗防护市场:竞争格局
  • 人工智慧(AI)驱动的数位商务诈骗防护市场:公司简介
    • Stripe Inc. Overview, Products and Services, Strategy and Financial Analysis
    • LexisNexis Risk Solutions Overview, Products and Services, Strategy and Financial Analysis
    • ACI Worldwide Inc. Overview, Products and Services, Strategy and Financial Analysis
    • Fair Isaac Corporation Overview, Products and Services, Strategy and Financial Analysis
    • CyberSource Corporation Overview, Products and Services, Strategy and Financial Analysis

第31章:其他领先和创新企业

  • Riskified Ltd.
  • Accertify Inc.
  • Forter Ltd.
  • Feedzai Inc.
  • Signifyd Inc.
  • ClearSale SA
  • Kount Inc.
  • DataDome Group Inc.
  • Ravelin Technology Ltd.
  • Arkose Labs Inc.
  • SymphonyAI
  • DataVisor Inc.
  • Featurespace Ltd.
  • Sift Science Inc.
  • NoFraud LLC

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)驱动的数位商务诈骗市场:提供新机会的国家
  • 2029年人工智慧(AI)驱动的数位商务诈骗市场:细分领域带来新机会
  • 人工智慧 (AI) 驱动的数位商务诈骗防护市场 2029: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: r37976

An AI-powered digital commerce fraud shield is a technology solution that uses artificial intelligence algorithms to detect, prevent, and mitigate fraudulent activities in online transactions. It analyzes transaction patterns, identifies anomalies, and flags suspicious behavior in real time, reducing financial risks while continuously learning from new data to improve accuracy and adapt to evolving fraud tactics.

The core components of AI-powered digital commerce fraud shields include software and services. The software comprises digital tools and applications that perform automated tasks, process data, and streamline operations across computing systems. These solutions can be deployed on-premises or via the cloud and serve businesses of varying sizes, including small and medium enterprises (SMEs) and large enterprises. They are applied in areas such as payment fraud detection, account takeover prevention, identity verification, and chargeback mitigation, and are utilized by industries including e-commerce, retail, banking, financial services, insurance (BFSI), travel, and hospitality.

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)-powered digital commerce fraud shield market research report is one of a series of new reports from The Business Research Company that provides artificial intelligence (AI)-powered digital commerce fraud shield market statistics, including artificial intelligence (AI)-powered digital commerce fraud shield industry global market size, regional shares, competitors with the artificial intelligence (AI)-powered digital commerce fraud shield market share, artificial intelligence (AI)-powered digital commerce fraud shield market segments, market trends, and opportunities, and any further data you may need to thrive in the artificial intelligence (AI)-powered digital commerce fraud shield industry. This artificial intelligence (AI)-powered digital commerce fraud shield 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)-powered digital commerce fraud shield market size has grown exponentially in recent years. It will grow from $6.84 billion in 2024 to $8.51 billion in 2025 at a compound annual growth rate (CAGR) of 24.3%. The growth observed during the historic period was driven by the rise in online transactions, heightened awareness of transaction security, increasing demand for identity verification in financial services, greater emphasis on reducing chargebacks, and growing consumer preference for digital payment methods.

The artificial intelligence (AI)-powered digital commerce fraud shield market size is expected to see exponential growth in the next few years. It will grow to $20.04 billion in 2029 at a compound annual growth rate (CAGR) of 23.9%. The projected growth during the forecast period is driven by the rising demand for real-time transaction monitoring, the expansion of online retail platforms, increased focus on customer trust and loyalty, greater need for secure high-value transactions, and growing attention to securing omni-channel transactions. Key trends expected in this period include advancements in multi-layered security frameworks, innovations in integrated fraud detection models, improvements in identity verification workflows, adoption of geolocation-based security protocols, and development of advanced fraud risk scoring models.

The expanding adoption of e-commerce platforms is expected to boost the AI-powered digital commerce fraud shield market in the coming years. E-commerce platforms are online marketplaces and retail websites that facilitate the buying and selling of products and services over the internet. Their growth is largely fueled by increasing internet penetration, allowing more consumers to access online stores, compare products, and make purchases conveniently from anywhere. AI-powered digital commerce fraud shields assist these platforms by detecting and preventing fraudulent transactions in real time, protecting customer trust, minimizing financial losses, and ensuring a secure and seamless shopping experience. For example, according to the U.S. Census Bureau, U.S. retail e-commerce sales reached $292.9 billion in the second quarter of 2025, marking a 6.2% increase from the first quarter. Compared to the second quarter of 2024, e-commerce grew by 5.3%, while overall retail sales rose by 3.8% over the same period. This surge in e-commerce platform adoption is therefore driving the growth of the AI-powered digital commerce fraud shield market.

Key players in the AI-powered digital commerce fraud shield market are developing advanced solutions, including AI-driven fraud prevention systems, to identify and prevent fraudulent transactions in real time. These systems use artificial intelligence to analyze transactions, detect suspicious patterns, and prevent fraud, reducing financial losses, minimizing false declines, and strengthening customer trust in online shopping. For example, in March 2025, U.S.-based Riskified Ltd., a provider of e-commerce fraud and risk intelligence solutions, launched Adaptive Checkout, an AI-powered fraud prevention tool designed to optimize e-commerce conversion rates by tailoring each checkout flow based on the transaction's risk profile and shopper history. The system applies selective verification steps, such as CVV, OTP, or 3DS, only for higher-risk orders while allowing low-risk customers to complete purchases seamlessly. This approach enables merchants to approve more legitimate transactions, effectively block fraud, and increase revenue, as demonstrated by clients such as TickPick. Adaptive Checkout effectively balances fraud prevention with maximizing approvals, supporting e-commerce growth.

In January 2025, U.S.-based software firm Chainalysis Inc. acquired Alterya Ltd. for around $150 million. This acquisition enables Chainalysis to leverage Alterya's AI-driven fraud detection technology to provide comprehensive, real-time fraud protection for both cryptocurrency and traditional payment systems, enhance KYC and compliance processes for exchanges and wallet providers, reduce losses from scams, and strengthen its capability to detect and prevent fraud at scale. Alterya Ltd., headquartered in Israel, specializes in AI-powered fraud detection solutions for the fintech and cybersecurity industries.

Major players in the artificial intelligence (ai)-powered digital commerce fraud shield market are Stripe Inc., LexisNexis Risk Solutions, ACI Worldwide Inc., Fair Isaac Corporation, CyberSource Corporation, Riskified Ltd., Accertify Inc., Forter Ltd., Feedzai Inc., Signifyd Inc., ClearSale S.A., Kount Inc., DataDome Group Inc., Ravelin Technology Ltd., Arkose Labs Inc., SymphonyAI, DataVisor Inc., Featurespace Ltd., Sift Science Inc., NoFraud LLC.

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

The countries covered in the artificial intelligence (AI)-powered digital commerce fraud shield market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The artificial intelligence (AI)-powered digital commerce fraud shield market consists of revenues earned by entities by providing services such as compliance support for fraud-related regulations, machine learning model training and customization, fraud consulting and strategy advisory, behavioral analytics and anomaly detection, threat intelligence and reporting services. The market value includes the value of related goods sold by the service provider or included within the service offering. The artificial intelligence (AI)-powered digital commerce fraud shield market also includes sales of rule-based fraud detection engines, transaction risk management tools, cloud-based fraud analytics dashboards, behavioral biometrics software, bot detection and mitigation tools. 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)-Powered Digital Commerce Fraud Shield 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)-powered digital commerce fraud shield 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)-powered digital commerce fraud shield ? 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)-powered digital commerce fraud shield 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; Services
  • 2) By Deployment Mode: Cloud; On-Premises
  • 3) By Enterprise Size: Small And Medium Enterprises; Large Enterprises
  • 4) By Application: Payment Fraud Detection; Account Takeover Protection; Identity Verification; Chargeback Prevention; Other Applications
  • 5) By End-User: E-Commerce; Retail; Banking Financial Services And Insurance (BFSI); Travel And Hospitality; Other End-Users
  • Subsegments:
  • 1) By Software: Fraud Detection And Prevention; Risk And Compliance Management; Identity Verification And Authentication; Behavioral Analytics; Payment Fraud Monitoring; Dashboard And Reporting Tools
  • 2) By Services: Professional Services; Consulting Services; Implementation And Integration; Training and Support Services; Managed Services
  • Companies Mentioned: Stripe Inc.; LexisNexis Risk Solutions; ACI Worldwide Inc.; Fair Isaac Corporation; CyberSource Corporation; Riskified Ltd.; Accertify Inc.; Forter Ltd.; Feedzai Inc.; Signifyd Inc.; ClearSale S.A.; Kount Inc.; DataDome Group Inc.; Ravelin Technology Ltd.; Arkose Labs Inc.; SymphonyAI; DataVisor Inc.; Featurespace Ltd.; Sift Science Inc.; NoFraud LLC
  • 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)-Powered Digital Commerce Fraud Shield Market Characteristics

3. Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market Trends And Strategies

4. Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield 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)-Powered Digital Commerce Fraud Shield Growth Analysis And Strategic Analysis Framework

  • 5.1. Global Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield 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)-Powered Digital Commerce Fraud Shield Market Growth Rate Analysis
  • 5.4. Global Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Historic Market Size and Growth, 2019 - 2024, Value ($ Billion)
  • 5.5. Global Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Forecast Market Size and Growth, 2024 - 2029, 2034F, Value ($ Billion)
  • 5.6. Global Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Total Addressable Market (TAM)

6. Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market Segmentation

  • 6.1. Global Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Software
  • Services
  • 6.2. Global Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Cloud
  • On-Premises
  • 6.3. Global Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Enterprise Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Small And Medium Enterprises
  • Large Enterprises
  • 6.4. Global Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Payment Fraud Detection
  • Account Takeover Protection
  • Identity Verification
  • Chargeback Prevention
  • Other Applications
  • 6.5. Global Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By End-User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • E-Commerce
  • Retail
  • Banking Financial Services And Insurance (BFSI)
  • Travel And Hospitality
  • Other End-Users
  • 6.6. Global Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Sub-Segmentation Of Software, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Fraud Detection And Prevention
  • Risk And Compliance Management
  • Identity Verification And Authentication
  • Behavioral Analytics
  • Payment Fraud Monitoring
  • Dashboard And Reporting Tools
  • 6.7. Global Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Sub-Segmentation Of Services, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Professional Services
  • Consulting Services
  • Implementation And Integration
  • Training And Support Services
  • Managed Services

7. Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market Regional And Country Analysis

  • 7.1. Global Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Split By Region, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 7.2. Global Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Split By Country, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

8. Asia-Pacific Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market

  • 8.1. Asia-Pacific Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield 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)-Powered Digital Commerce Fraud Shield Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 8.3. Asia-Pacific Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 8.4. Asia-Pacific Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Enterprise Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

9. China Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market

  • 9.1. China Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market Overview
  • 9.2. China Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
  • 9.3. China Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
  • 9.4. China Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Enterprise Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion

10. India Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market

  • 10.1. India Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 10.2. India Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 10.3. India Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Enterprise Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

11. Japan Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market

  • 11.1. Japan Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market Overview
  • 11.2. Japan Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 11.3. Japan Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 11.4. Japan Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Enterprise Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

12. Australia Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market

  • 12.1. Australia Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 12.2. Australia Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 12.3. Australia Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Enterprise Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

13. Indonesia Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market

  • 13.1. Indonesia Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 13.2. Indonesia Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 13.3. Indonesia Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Enterprise Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

14. South Korea Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market

  • 14.1. South Korea Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market Overview
  • 14.2. South Korea Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 14.3. South Korea Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 14.4. South Korea Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Enterprise Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

15. Western Europe Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market

  • 15.1. Western Europe Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market Overview
  • 15.2. Western Europe Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 15.3. Western Europe Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 15.4. Western Europe Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Enterprise Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

16. UK Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market

  • 16.1. UK Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 16.2. UK Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 16.3. UK Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Enterprise Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

17. Germany Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market

  • 17.1. Germany Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 17.2. Germany Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 17.3. Germany Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Enterprise Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

18. France Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market

  • 18.1. France Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 18.2. France Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 18.3. France Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Enterprise Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

19. Italy Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market

  • 19.1. Italy Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 19.2. Italy Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 19.3. Italy Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Enterprise Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

20. Spain Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market

  • 20.1. Spain Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 20.2. Spain Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 20.3. Spain Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Enterprise Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

21. Eastern Europe Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market

  • 21.1. Eastern Europe Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market Overview
  • 21.2. Eastern Europe Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 21.3. Eastern Europe Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 21.4. Eastern Europe Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Enterprise Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

22. Russia Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market

  • 22.1. Russia Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 22.2. Russia Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 22.3. Russia Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Enterprise Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

23. North America Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market

  • 23.1. North America Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market Overview
  • 23.2. North America Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 23.3. North America Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 23.4. North America Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Enterprise Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

24. USA Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market

  • 24.1. USA Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market Overview
  • 24.2. USA Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 24.3. USA Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 24.4. USA Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Enterprise Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

25. Canada Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market

  • 25.1. Canada Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market Overview
  • 25.2. Canada Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 25.3. Canada Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 25.4. Canada Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Enterprise Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

26. South America Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market

  • 26.1. South America Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market Overview
  • 26.2. South America Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 26.3. South America Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 26.4. South America Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Enterprise Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

27. Brazil Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market

  • 27.1. Brazil Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 27.2. Brazil Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 27.3. Brazil Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Enterprise Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

28. Middle East Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market

  • 28.1. Middle East Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market Overview
  • 28.2. Middle East Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 28.3. Middle East Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 28.4. Middle East Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Enterprise Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

29. Africa Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market

  • 29.1. Africa Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market Overview
  • 29.2. Africa Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 29.3. Africa Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 29.4. Africa Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Enterprise Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

30. Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market Competitive Landscape And Company Profiles

  • 30.1. Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market Competitive Landscape
  • 30.2. Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market Company Profiles
    • 30.2.1. Stripe Inc. Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.2. LexisNexis Risk Solutions Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.3. ACI Worldwide Inc. Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.4. Fair Isaac Corporation Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.5. CyberSource Corporation Overview, Products and Services, Strategy and Financial Analysis

31. Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market Other Major And Innovative Companies

  • 31.1. Riskified Ltd.
  • 31.2. Accertify Inc.
  • 31.3. Forter Ltd.
  • 31.4. Feedzai Inc.
  • 31.5. Signifyd Inc.
  • 31.6. ClearSale S.A.
  • 31.7. Kount Inc.
  • 31.8. DataDome Group Inc.
  • 31.9. Ravelin Technology Ltd.
  • 31.10. Arkose Labs Inc.
  • 31.11. SymphonyAI
  • 31.12. DataVisor Inc.
  • 31.13. Featurespace Ltd.
  • 31.14. Sift Science Inc.
  • 31.15. NoFraud LLC

32. Global Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market

34. Recent Developments In The Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market

35. Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market High Potential Countries, Segments and Strategies

  • 35.1 Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market In 2029 - Countries Offering Most New Opportunities
  • 35.2 Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market In 2029 - Segments Offering Most New Opportunities
  • 35.3 Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield 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