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市場調查報告書
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1852270

2025年人工智慧（AI）驅動的數位商務詐騙防護全球市場報告

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個工作天內

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簡介目錄

近年來，人工智慧 (AI) 賦能的數位商務詐騙市場呈指數級成長，市場規模從 2024 年的 68.4 億美元成長至 2025 年的 85.1 億美元，複合年成長率達 24.3%。這段歷史性時期的成長動力源自於以下因素：線上交易的增加、交易安全意識的增強、金融服務中身分驗證需求的不斷成長、對減少扣回爭議帳款的重視以及消費者對數位支付方式日益成長的偏好。

預計未來幾年，人工智慧 (AI) 賦能的數位商務詐騙市場將呈指數級成長，到 2029 年將達到 200.4 億美元，年複合成長率（CAGR）為 23.9%。預測期內的潛在成長動力包括：即時交易監控需求的不斷成長、線上零售平台的擴張、對客戶信任和忠誠度的日益關注、對安全高價值交易日益成長的需求，以及對全通路交易安全的日益關注。預計在此期間的主要趨勢包括：多層安全框架的演進、整合詐欺偵測模型的創新、身分驗證工作流程的改進、基於地理位置的安全通訊協定的採用，以及進階詐欺風險評分模型的開發。

人工智慧驅動的數位詐騙) 是一種技術解決方案，利用人工智慧演算法來偵測、預防和緩解線上交易中的詐騙。它能夠即時分析交易模式、識別異常並標記可疑行為，並持續從新數據中學習，以提高準確性並適應不斷變化的詐騙技術，同時降低財務風險。

人工智慧驅動的數位商務反詐騙防護的核心組件包括軟體和服務。軟體由數位工具和應用程式組成，這些工具和應用程式可執行自動化任務、處理資料並簡化跨計算系統的操作。這些解決方案可以在本地部署或透過雲端部署，適用於從中小型企業 (SME) 到大型企業的各種規模的企業。這些解決方案適用於支付詐騙偵測、帳戶盜用預防、身分驗證和扣回爭議帳款緩解等領域，並廣泛應用於電子商務、零售、銀行、金融服務和保險 (BFSI)、旅遊和飯店等行業。

2025年春季，美國關稅的快速上調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並降低了企業收益（而利潤是影響股市表現的主要因素），銀行和資產管理公司面臨著與跨境交易相關的成本上升。同時，保險公司正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，消費支出減弱和出口需求疲軟正在抑制信貸成長和投資意願。保險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。

本研究報告是商業研究公司（The Business Research Company）新報告系列的一部分，該系列提供人工智慧（AI）驅動的數位商務詐騙市場統計數據，包括全球市場規模、各地區佔有率、競爭對手的人工智慧（AI）驅動的數位商務反詐騙市場佔有率、人工智慧（AI）驅動的詐騙詐騙詐騙報告對該行業的現狀和未來趨勢進行了詳細分析，為您提供了全面概述，涵蓋了您需要了解的所有內容。

電子商務平台的日益普及預計將在未來幾年推動人工智慧驅動的數位商務詐騙防護市場的發展。電子商務平台是線上市場和零售網站，方便透過網路購買和銷售產品和服務。網際網路普及率的提高使更多消費者能夠從任何地方訪問網路商店、比較產品和便利地購物，這極大地促進了電子商務平台的成長。人工智慧驅動的數位商務詐欺防護透過即時偵測和防止非法貿易、保護客戶信任、最大限度地減少財務損失以及確保安全無縫的購物體驗來支援這些平台。例如，根據美國人口普查局的數據，2025 年第二季美國零售電子商務銷售額達到 2,929 億美元，較第一季成長 6.2%。與 2024 年第二季相比，電子商務銷售額成長了 5.3%，而同期整體零售額成長了 3.8%。電子商務平台的快速普及正在推動人工智慧驅動的數位商務詐騙防護市場的成長。

人工智慧數位商務反詐騙盾市場的關鍵參與者正在開發先進的解決方案，例如人工智慧反詐騙系統，以即時識別和防止非法貿易。這些系統使用人工智慧分析交易、偵測可疑模式並防止詐騙活動，從而減少財務損失、最大限度地減少誤拒並增強客戶對網路購物的信任。例如，2025 年 3 月，美國電子商務詐騙和風險情報解決方案提供商 Riskified Ltd. 推出了 Adaptive Checkout，這是一款人工智慧詐騙工具，旨在透過根據交易風險狀況和消費者歷史記錄調整每個結帳流程來最佳化電子商務轉換率。該系統僅對高風險訂單應用選擇性檢驗步驟，例如 CVV、OTP 和 3DS，同時允許低風險客戶無縫完成購買。正如 TickPick 等客戶所證明的那樣，這種方法使商家能夠核准更多合法交易、有效阻止詐欺並增加收益。自我調整結帳有效地平衡了詐欺預防和最大化核准以支援電子商務成長。

2025年1月，美國軟體公司Chainalysis Inc.以約1.5億美元收購了Alterya Ltd.。此次收購將使Chainalysis能夠利用Alterya的人工智慧主導的詐欺檢測技術，為加密貨幣和傳統支付系統提供全面、即時的詐欺預防，從而加強交易所和錢包提供商的KYC和合規流程，減少詐騙損失，並增強其大規模檢測和預防詐欺的能力。 Alterya Ltd.總部位於以色列，專注於為金融科技和網路安全產業提供人工智慧驅動的詐欺偵測解決方案。

人工智慧 (AI) 驅動的數位商務詐騙市場由提供詐騙相關法規合規支援、機器學習模型訓練和客製化、詐騙諮詢和策略諮詢、行​​為分析和異常檢測以及威脅情報和報告服務等服務的實體所獲得的收入構成。市場價值包括服務供應商銷售或包含在其服務產品中的相關產品的收益。人工智慧 (AI) 驅動的營業單位商務詐騙市場還包括基於規則的詐欺檢測引擎、交易風險管理工具、雲端基礎的詐欺分析儀表板、行為生物識別軟體以及機器人檢測和緩解工具的銷售。此市場價值是“出廠價”，即商品製造商或創造者銷售給其他營業單位（包括下游製造商、批發商、經銷商和零售商）或直接銷售給最終客戶的商品價值。該市場中的商品價值也包括商品創造者銷售的相關服務。

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) 驅動的數位商務詐騙防護：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）驅動的數位商務詐騙防護市場：成長率分析
  • 全球人工智慧 (AI) 驅動的數位商務詐騙市場表現：規模與成長，2019-2024 年
  • 全球人工智慧 (AI) 支援的數位商務詐騙市場預測：規模與成長，2024-2029 年，2034 年
  • 全球人工智慧 (AI) 驅動的數位商務詐騙盾：總潛在市場 (TAM)

第6章 市場細分

  • 全球人工智慧 (AI) 驅動的數位商務詐騙市場：按組件、實際和預測，2019-2024 年、2024-2029 年、2034 年
  • 軟體
  • 服務
  • 全球人工智慧 (AI) 驅動的數位商務詐騙市場：按部署模式、實際結果和預測，2019-2024 年、2024-2029 年、2034 年
  • 雲
  • 本地部署
  • 全球人工智慧 (AI) 驅動的數位商務詐騙市場：按公司規模、實際結果和預測，2019-2024 年、2024-2029 年、2034 年
  • 小型企業
  • 主要企業
  • 全球人工智慧 (AI) 驅動的數位商務詐騙市場：按應用、實際結果和預測，2019-2024 年、2024-2029 年、2034 年
  • 支付詐騙檢測
  • 帳戶接管預防
  • 身份驗證
  • 預防扣回爭議帳款
  • 其他用途
  • 全球人工智慧 (AI) 驅動的數位商務詐騙市場：按最終用戶、實際和預測，2019-2024 年、2024-2029 年、2034 年
  • 電子商務
  • 零售
  • 銀行金融服務和保險（BFSI）
  • 旅遊與飯店
  • 其他最終用戶
  • 全球人工智慧 (AI) 驅動的數位商務詐騙市場：按軟體（類型）細分，實際及預測，2019-2024 年、2024-2029 年、2034 年
  • 詐欺檢測與預防
  • 風險與合規管理
  • 身份驗證和認證
  • 行為分析
  • 支付詐騙監控
  • 儀表板和報告工具
  • 全球人工智慧 (AI) 驅動的數位商務詐騙市場：按服務類型細分、實際結果和預測，2019-2024 年、2024-2029 年、2034 年
  • 專業服務
  • 諮詢服務
  • 實施與整合
  • 培訓和支援服務
  • 託管服務

第7章 區域和國家分析

  • 全球人工智慧 (AI) 驅動的數位商務詐騙市場：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) 驅動的數位商務詐騙市場：按國家/地區、實際結果和預測，2019-2024 年、2024-2029 年、2034 年

第8章 亞太市場

第9章：中國市場

第10章 印度市場

第11章 日本市場

第12章：澳洲市場

第13章 印尼市場

第14章 韓國市場

第15章：西歐市場

第16章英國市場

第17章：德國市場

第18章：法國市場

第19章：義大利市場

第20章：西班牙市場

第21章 東歐市場

第22章：俄羅斯市場

第23章 北美市場

第24章美國市場

第25章：加拿大市場

第26章 南美洲市場

第27章：巴西市場

第28章 中東市場

第29章：非洲市場

第30章：競爭格局與公司概況

  • 人工智慧（AI）驅動的數位商務詐騙防護市場：競爭格局
  • 人工智慧（AI）驅動的數位商務詐騙防護市場：公司簡介
    • 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：其他領先和創新企業

  • 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）驅動的數位商務詐騙市場：提供新機會的國家
  • 2029年人工智慧（AI）驅動的數位商務詐騙市場：細分領域帶來新機會
  • 人工智慧 (AI) 驅動的數位商務詐騙防護市場 2029：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: 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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  • Create regional and country strategies on the basis of local data and analysis.
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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