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市場調查報告書
商品編碼
1829084

電子商務詐欺偵測與預防市場（按解決方案、詐欺類型、業務類型、組織規模、部署模式和應用）—2025-2032 年全球預測

eCommerce Fraud Detection & Prevention Market by Solution, Fraud Type, Business Type, Organization Size, Deployment Mode, Application - Global Forecast 2025-2032
出版日期: | 出版商: 360iResearch | 英文 195 Pages | 商品交期: 最快1-2個工作天內

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預計到 2032 年，電子商務詐欺偵測和預防市場將成長至 259.2 億美元，複合年成長率為 20.41%。

主要市場統計數據
基準年2024年 58.6億美元
預計2025年 69.7億美元
預測年份：2032年 259.2億美元
複合年成長率（%） 20.41%

簡潔的策略介紹，闡述了無摩擦數位商務與彈性、自適應詐欺保護需求之間不斷演變的緊張關係

數位商務的快速擴張已將詐欺偵測和預防從一項技術能力提升為每個組織（包括支付、零售、金融服務和旅遊業）的策略要務。隨著交易量在各個管道的多樣化以及身分向量的日益複雜，領導者必須在順暢的客戶體驗需求與降低財務和聲譽風險的需求之間取得平衡。這種矛盾定義了現代商業環境，並組裝了本執行摘要中列出的優先事項。

近年來，機器學習、即時分析和身分編配的進步顯著提高了偵測的速度和準確性。然而，詐騙也不斷調整策略，利用新的入職流程、跨國漏洞和新的支付方式。因此，防禦策略必須強調適應性、整體資料整合和可操作的情報。成功的方案不僅依賴技術，還依賴管治、跨職能協作以及能夠反映不斷變化的威脅模式的動態策略校準。

本導論章節深入探討了關鍵主題，包括不斷變化的市場動態、地緣政治貿易行動對電子商務詐騙的影響、細分層面的考慮、區域差異、競爭定位、面向領導者的可行建議、研究結果背後的嚴謹方法以及簡明結論。後續章節將圍繞這些主題進行擴展，為決策者提供實用且可操作的指導，幫助他們在日益數位化的經濟環境中保護收益、維護客戶信任並擴大詐欺預防規模。

深入檢驗正在重新定義數位商務詐欺預防策略的技術、監管和威脅變化

在技​​術進步、監管環境演變以及消費行為轉變的推動下，詐欺格局正在經歷變革時期。即時決策和行為生物辨識技術已從實驗階段邁向關鍵階段，使企業能夠在交易生命週期的早期階段阻止複雜的攻擊。同時，支付方式和替代身分訊號的激增，也擴大了偵測機會和攻擊面。

法律規範和資料隱私製度正在塑造組織收集、共用和建模風險指標的方式。企業擴大投資於隱私保護分析、基於同意的資料共用安排以及聯邦學習方法，這些方法無需大規模資料集中即可實現模型最佳化。同時，詐騙、風險和合規團隊之間的整合日益加深，加速了偵測輸出在自動化補救工作流程、扣回爭議帳款預防流程和動態身分驗證挑戰中的操作化。

威脅行為者的策略正隨之轉變。自動化殭屍網路、合成身份工廠和協同式社會工程宣傳活動如今正利用規模和商業整合來最大化成功率。為此，供應商和內部團隊正在採用分層防禦，將確定性規則與機率訊號結合，並在環路中對高風險異常進行人工審查。最終結果是整個市場轉向集中檢測、回應和事後協調的編配平台，使組織能夠更有效地平衡客戶摩擦和防禦範圍。

對 2025 年美國關稅調整將如何改變整個供應鏈、商家入職和數位商務生態系統的詐欺風險敞口進行嚴格分析

美國將在2025年前實施新的關稅政策，將對電子商務詐欺風險載體和營運控制產生連鎖反應。關稅將影響供應鏈配置、供應商選擇和跨境物流，所有這些都會影響線上銷售商品的來源和可追溯性。隨著採購和履約變得越來越複雜，詐欺偵測團隊將面臨許多挑戰，例如驗證經銷商的合法性、檢驗產品真偽以及協調不同系統之間的訂單到履約資料。

關稅上調將鼓勵商家多元化或遷移其供應鏈，導致新的小型供應商和代出貨商激增。此外，由於不法分子利用不透明的退貨管道和國際路線掩蓋貨源，關稅上調還可能增加基於身分的詐騙和退款詐欺。因此，反詐騙專案需要加強商家實質審查，加強支付記錄與物流資料的匹配，並投資於整合海關和貨物元元資料的供應商檢驗工作流程。

關稅主導的利潤壓縮也可能導致合法商家減少詐欺投資或將履行履約給成本較低的仲介業者。為了因應這種情況，企業應優先考慮端到端資料整合，包括海關申報單、協調制度代碼和承運商艙單，並改善異常檢測。此外，與支付合作夥伴和承運商合作，共用有關非典型路由、重複退貨和異常扣回爭議帳款模式的訊號，對於管理受關稅影響市場的詐欺風險至關重要。

清晰的細分主導洞察，透過解決方案選項、詐欺類型、用例、最終用戶需求、組織規模和部署模式揭示差異化的風險和機會領域

細分層面的洞察揭示了防禦性投資和架構變更在哪些方面對營運影響最大，以及哪些方面仍存在差距。基於解決方案，區分服務和軟體至關重要。服務包括諮詢、整合以及持續的支援和維護，這些對於客製化實施和持續調整檢測模型至關重要，而軟體則提供打包分析、機器學習引擎和編配平台。不同類型的詐欺具有不同的威脅特徵。帳戶盜用、卡片詐騙、友善詐騙、詐騙詐騙、商家詐騙、網路釣魚和退款詐騙各自產生獨特的訊號需求和回應，需要客製化的偵測模型和專門的調查工作流程。

目錄

第1章：前言

第2章調查方法

第3章執行摘要

第4章 市場概況

第5章 市場洞察

  • 人工智慧行為生物識別分析可實現即時電子商務詐騙預防
  • 實施自適應多因素身份驗證以緩解帳戶接管攻擊
  • 整合設備指紋識別和地理位置分析以實現動態詐欺評分
  • 區塊鏈身份驗證網路增強跨境電子商務的安全性
  • 利用機器學習異常檢測最大限度地減少跨支付管道的扣回爭議帳款損失
  • 即時交易監控平台使用圖形分析來偵測複雜的詐騙
  • 將人工智慧的反洗錢篩檢融入結帳流程，打擊網路零售中的洗錢活動
  • 語音和臉部辨識辨識身份驗證融入行動商務，以遏制欺詐
  • 收費電子商務模型中預防訂閱詐騙的預測分析
  • 使用深度學習模型識別高價值線上交易中的合成 ID

第6章：2025年美國關稅的累積影響

第7章：人工智慧的累積影響，2025年

8. 電子商務詐欺偵測與預防市場（按解決方案）

  • 服務
    • 託管服務
    • 專業服務
      • 諮詢與評估
      • 整合與實施
      • 模型調整與最佳化
      • 培訓與賦能
  • 軟體

9. 電子商務詐欺偵測與預防市場（按詐欺類型）

  • 帳號接管
  • 卡片詐騙
  • 友善詐騙
  • 身分盜竊
  • 商家店詐騙
  • 網路釣魚
  • 退款詐騙

第 10 章。按業務類型分類的電子商務詐欺偵測與預防市場

  • B2B電子商務
  • B2C電子商務

第 11 章。電子商務詐欺檢測與預防市場（按組織規模）

  • 主要企業
  • 小型企業

12. 電子商務詐欺偵測與預防市場（依部署模式）

  • 雲端基礎
  • 本地部署

第 13 章電子商務詐欺偵測與預防市場（按應用）

  • 行為分析
  • 扣回爭議帳款管理
  • 詐欺分析
  • 身份認證
    • 生物識別
    • 資料庫和訊號檢驗
    • 文件驗證
  • 支付詐騙檢測
    • 核准風險評分
    • 核准後監控
    • 核准前篩檢
  • 交易監控

14. 電子商務詐欺偵測與預防市場（按地區）

  • 美洲
    • 北美洲
    • 拉丁美洲
  • 歐洲、中東和非洲
    • 歐洲
    • 中東
    • 非洲
  • 亞太地區

第 15 章。電子商務詐欺偵測與預防市場（按類別）

  • ASEAN
  • GCC
  • EU
  • BRICS
  • G7
  • NATO

第 16 章。按國家/地區分類的電子商務詐欺偵測和預防市場

  • 美國
  • 加拿大
  • 墨西哥
  • 巴西
  • 英國
  • 德國
  • 法國
  • 俄羅斯
  • 義大利
  • 西班牙
  • 中國
  • 印度
  • 日本
  • 澳洲
  • 韓國

第17章競爭格局

  • 2024年市佔率分析
  • 2024年FPNV定位矩陣
  • 競爭分析
    • Equifax Inc.
    • ACI Worldwide, Inc.
    • Blackhawk Network Holdings, Inc.
    • DXC Technology Company
    • F5, Inc.
    • Fiserv, Inc.
    • International Business Machines Corporation
    • LexisNexis Risk Solutions Inc. by RELX
    • PayPal Holdings, Inc.
    • Radial, Inc.
    • Stripe, Inc.
    • TransUnion LLC
Product Code: MRR-43676CF424EE

The eCommerce Fraud Detection & Prevention Market is projected to grow by USD 25.92 billion at a CAGR of 20.41% by 2032.

KEY MARKET STATISTICS
Base Year [2024] USD 5.86 billion
Estimated Year [2025] USD 6.97 billion
Forecast Year [2032] USD 25.92 billion
CAGR (%) 20.41%

A concise strategic introduction that frames the evolving tension between frictionless digital commerce and the need for resilient, adaptive fraud prevention capabilities

The rapid expansion of digital commerce has elevated fraud detection and prevention from a technical capability to a strategic imperative for organizations across payments, retail, financial services, and travel. As transaction volumes diversify across channels and identity vectors become more complex, leaders must reconcile the need for frictionless customer experiences with the imperative to reduce financial and reputational risk. This tension defines the contemporary operating environment and frames the priorities that follow in this executive summary.

In recent years, advances in machine learning, real-time analytics, and identity orchestration have materially improved detection speed and precision. Yet fraudsters continuously adapt, exploiting new onboarding flows, cross-border gaps, and emerging payment rails. Consequently, defense strategies must emphasize adaptivity, holistic data integration, and operationalized intelligence. Beyond technology, successful programs depend on governance, cross-functional alignment, and dynamic policy calibration that reflect evolving threat patterns.

This introduction sets out the core themes explored in depth: how market dynamics are shifting, the implications of geopolitical trade measures on eCommerce fraud, segmentation-level insights, regional variations, competitive positioning, actionable recommendations for leaders, methodological rigor behind the findings, and a concise conclusion. Each subsequent section expands on these themes with an eye toward practical, implementable guidance for decision-makers who must protect revenue, preserve customer trust, and scale fraud controls in an increasingly digital-first economy.

An incisive examination of the transformative technological, regulatory, and threat-driven shifts that are redefining fraud prevention strategy across digital commerce

The fraud landscape has entered a period of transformative change driven by technological advancement, regulatory evolution, and shifting consumer behavior. Real-time decisioning and behavioral biometrics have moved from experimental to essential, enabling organizations to intercept sophisticated attacks earlier in the transaction lifecycle. Simultaneously, proliferating payment instruments and alternative identity signals have expanded both detection opportunities and attack surfaces.

Regulatory frameworks and data privacy regimes are shaping how organizations collect, share, and model risk indicators. Companies are increasingly investing in privacy-preserving analytics, consented data-sharing arrangements, and federated learning approaches that allow model refinement without broad data centralization. At the same time, growing convergence between fraud, risk, and compliance teams is accelerating the operationalization of detection outputs into automated remediation workflows, chargeback prevention processes, and dynamic authentication challenges.

Threat actor strategies have adapted in response. Automated botnets, synthetic identity factories, and coordinated social engineering campaigns now leverage scale and commerce integrations to maximize yield. In response, vendors and in-house teams are adopting layered defenses that couple deterministic rules with probabilistic signals and human-in-the-loop review for high-risk exceptions. The net effect is a market-wide shift toward orchestration platforms that unify detection, response, and post-event reconciliation, enabling organizations to balance customer friction against protective coverage more effectively.

A rigorous analysis of how 2025 United States tariff adjustments reshape supply chains, merchant onboarding, and fraud risk exposure across digital commerce ecosystems

The introduction of new tariff policies in the United States for 2025 has implications that ripple through eCommerce fraud risk vectors and operational controls. Tariffs influence supply chain configuration, vendor selection, and cross-border logistics, all of which affect the provenance and traceability of goods sold online. As complexity grows in sourcing and fulfillment, fraud detection teams face increased challenges in verifying merchant legitimacy, validating product authenticity, and reconciling order-to-fulfillment data across disparate systems.

Higher tariffs can encourage sellers to diversify or relocate supply chains, producing a proliferation of new smaller suppliers and drop-shippers that increase the rate of onboarding activities and create fertile ground for merchant fraud. In turn, identity-based fraud and refund abuse may increase as bad actors exploit opaque return channels and international routing to obfuscate provenance. Consequently, fraud prevention programs must strengthen merchant due diligence, enhance reconciliation between payment records and logistics data, and invest in supplier verification workflows that integrate customs and shipment metadata.

Tariff-driven margin compression may also push some legitimate merchants to reduce investments in fraud controls or outsource fulfillment to lower-cost intermediaries, which can attenuate visibility into post-transaction events. To counteract this dynamic, organizations should prioritize end-to-end data integration, including customs declarations, harmonized system codes, and carrier manifests, to improve anomaly detection. Moreover, collaboration with payments partners and carriers to share signals about atypical routing, repeated returns, or abnormal chargeback patterns will be critical to maintain control over fraud exposure in a tariff-influenced marketplace.

Clear segmentation-driven insights that illuminate where solution choices, fraud types, applications, end-user needs, organization scale, and deployment modes create differentiated risk and opportunity

Segment-level insights reveal where defensive investments and architectural changes are delivering the greatest operational leverage and where persistent gaps remain. Based on solution, differentiation between Services and Software matters: Services includes consulting, integration, and ongoing support and maintenance, which are essential for bespoke implementations and continuous tuning of detection models, while Software provides packaged analytics, machine learning engines, and orchestration platforms. Based on fraud type, distinct threat profiles emerge: account takeover, card fraud, friendly fraud, identity theft, merchant fraud, phishing, and refund fraud each generate unique signal requirements and remediation playbooks, necessitating tailored detection models and specialized investigator workflows.

Based on application, use cases such as behavioral analysis, chargeback management, fraud analytics, identity authentication, payment fraud detection, and transaction monitoring determine where investments in telemetry and model complexity are most impactful. Behavioral analysis and identity authentication are particularly valuable for reducing false positives in customer-facing flows, while chargeback management and transaction monitoring are critical for back-office recovery and reconciliation. Based on end user, vertical-specific patterns influence detection priorities: banking, financial services and insurance, gaming and entertainment, retail and e-commerce, and travel and hospitality exhibit differing fraud lifecycles, tolerance for friction, and regulatory constraints, which should drive solution configuration and staffing models.

Based on organization size, Large Enterprises and Small & Medium Enterprises diverge in resource allocation, with larger organizations often investing in integrated platforms and bespoke rules, while smaller entities increasingly rely on cloud-based, turnkey solutions that offer fast time-to-value. Based on deployment mode, Cloud-Based and On-Premise options present trade-offs between scalability, latency, and control; cloud deployments accelerate model updates and data sharing but necessitate robust vendor risk management, whereas on-premise installations preserve tighter data governance at the cost of slower iteration. These segmentation lenses collectively inform a prioritized roadmap for capability development, vendor selection, and team composition.

Actionable regional intelligence outlining how distinct market maturity, payment rails, and regulatory environments shape fraud tactics and prevention priorities across global regions

Regional dynamics materially influence threat patterns, vendor ecosystems, and regulatory constraints. In the Americas, mature payments infrastructure, high online penetration, and sophisticated fraud rings drive demand for real-time analytics, behavioral profiling, and cross-institution data-sharing initiatives. As a result, organizations in this region are prioritizing orchestration capabilities that unify detection, manual review, and recovery, while also investing in partnerships with card networks and payment providers to improve chargeback resolution.

In Europe, Middle East & Africa, the regulatory landscape and diverse market maturity levels require adaptable, privacy-first architectures. Data protection regimes and regional compliance obligations are shaping how telemetry is collected and used, prompting a shift toward consented data models, tokenization, and privacy-preserving analytics. Meanwhile, emerging markets within this region present high growth in digital transactions alongside nascent fraud ecosystems, creating an imperative to deploy scalable cloud-native solutions that can mature with volume.

In Asia-Pacific, rapid eCommerce adoption, alternative payment methods, and cross-border trade intricacies drive unique fraud patterns that require highly localized fraud intelligence. Mobile-first payment rails and regional wallet providers change velocity and fraud typologies, emphasizing device intelligence, local identity signals, and close collaboration with carriers and platform providers. Across all regions, interoperability between payments, logistics, and identity systems stands out as a universal enabler for reducing fraud through more comprehensive signal sets and faster detection cycles.

A focused competitive assessment that highlights vendor differentiation through signal breadth, model governance, privacy-preserving innovations, and partnership-led detection ecosystems

Competitive dynamics in the fraud detection and prevention space reflect a mix of established platform providers, niche specialists, and integrators that deliver consulting and managed services. Leading companies differentiate through the breadth of signal ingestion, model sophistication, integration breadth with payment and identity partners, and the ability to operationalize outcomes in automated workflows. Strategic strengths include strong telemetry across payment, device, and identity layers, robust model governance processes, and modular orchestration capabilities that allow customers to tune the balance between automation and manual review.

Several vendors stand out for their investments in privacy-preserving machine learning, federated model training, and explainable AI, which help customers meet regulatory requirements while maintaining predictive performance. Other firms compete on embedded industry expertise, offering verticalized detection suites for segments such as gaming, travel, and financial services that incorporate sector-specific rules and heuristics. Integrators and managed service providers play a critical role in accelerating deployments, particularly for organizations with constrained security teams or complex legacy architectures.

Partnership strategies are increasingly important: alliances with payment networks, identity providers, carriers, and logistics platforms extend detection coverage and enable collaborative response mechanisms. Meanwhile, a subset of companies focuses on chargeback mitigation and post-transaction recovery services, converting analytical insights into tangible financial remediation. For buyers, vendor selection should weigh not only current capabilities but also roadmap clarity, data governance practices, and the provider's approach to ongoing model maintenance and regulatory compliance.

Practical and high-impact recommendations for leaders to integrate data, governance, merchant due diligence, privacy-preserving analytics, and continuous learning into fraud programs

Industry leaders must adopt a multi-dimensional approach that blends technology, governance, and cross-organizational collaboration. First, prioritize data integration across payments, identity, and logistics to build richer signal sets that improve detection precision and reduce false positives. This requires investing in APIs, data normalization, and canonical event schemas so that telemetry from onboarding, transaction authorization, shipment, and returns can be correlated in near real time. Second, embed model governance and explainability into machine learning lifecycles to satisfy compliance requirements and to ensure investigators and business stakeholders can interpret and act on model outputs.

Third, strengthen merchant and supplier due diligence processes in response to increased supply chain complexity. Incorporate verification of customs and shipment metadata into onboarding workflows, and align onboarding thresholds with dynamic risk scoring so that high-risk merchant profiles receive enhanced scrutiny. Fourth, accelerate adoption of privacy-preserving techniques such as differential privacy, federated learning, and tokenization to expand collaborative analytics while respecting regulatory constraints and consumer expectations. Fifth, invest in talent and process: cultivate cross-functional teams that pair data scientists with fraud investigators, compliance officers, and product managers to operationalize models effectively.

Finally, establish continuous learning loops: capture post-event outcomes, feed chargeback and dispute resolutions back into models, and run red-team exercises to evaluate controls against emerging attack patterns. By combining tactical investments in data and tooling with structural changes in governance and partnership strategy, leaders can materially reduce exposure while preserving customer experience and enabling scalable growth.

A transparent and rigorous mixed-methods research approach that combines practitioner interviews, technical benchmarking, and regulatory analysis to ensure robust, actionable insights

The research underpinning these insights is grounded in a mixed-methods approach that combines structured expert interviews, technology vendor analysis, and a rigorous review of public policy and industry trends. Primary research included conversations with senior practitioners across payments, retail, and travel, along with technical leads responsible for model development and fraud operations. These interviews probed operational challenges, signal gaps, integration hurdles, and how teams measure success, providing qualitative depth to complement the wider market assessment.

Secondary research entailed a disciplined review of regulatory guidance, public filings, vendor technical documentation, and trade literature to identify current capabilities, architectural patterns, and compliance considerations. Where applicable, technical benchmarking exercises evaluated latency, explainability, and integration readiness across representative solution archetypes. Data synthesis prioritized corroborated findings and triangulated multiple sources to reduce bias and ensure robustness.

Methodological safeguards included a transparent taxonomy for segmentation, strict inclusion criteria for vendor capability assessment, and iterative validation of key findings with independent practitioners. Limitations are acknowledged: rapidly evolving vendor roadmaps and emergent threat campaigns require continuous reassessment. Consequently, the research is designed to be actionable today while enabling subsequent updates as new data and regulatory developments emerge.

A concise conclusion emphasizing the imperative of integrated data, adaptive technology, and governance to sustain fraud resilience while preserving customer experience

In conclusion, the fraud detection and prevention landscape for digital commerce demands a strategic blend of adaptive technology, integrated data, and organizational alignment. Advances in analytics and identity orchestration are creating powerful defenses, yet fraud actors are equally agile, exploiting supply chain complexity, new payment rails, and identity fragmentation. To remain resilient, organizations must prioritize signal integration across payments, identity, and logistics; implement governance and explainability in model lifecycles; and scale operational capabilities that translate detection into timely remediation.

Geopolitical shifts such as tariff changes influence not only cost structures but also fraud exposure by altering supplier networks and fulfillment flows. Leaders must therefore incorporate macro-level trade considerations into their fraud risk assessments and due diligence processes. Regionally tailored strategies are necessary to address distinct payment behaviors, regulatory constraints, and threat landscapes, while segmentation-aware deployments ensure that solutions align with specific application needs and organizational scale.

Ultimately, successful programs balance prevention with customer experience, using orchestration and human oversight where necessary to resolve high-risk exceptions. The path forward is iterative: continuous learning, collaboration across industry partners, and sustained investment in both technology and people will determine which organizations reduce fraud losses, preserve trust, and capture the full value of digital commerce.

Table of Contents

1. Preface

  • 1.1. Objectives of the Study
  • 1.2. Market Segmentation & Coverage
  • 1.3. Years Considered for the Study
  • 1.4. Currency & Pricing
  • 1.5. Language
  • 1.6. Stakeholders

2. Research Methodology

3. Executive Summary

4. Market Overview

5. Market Insights

  • 5.1. AI-powered behavioral biometric analysis enabling real-time eCommerce fraud prevention
  • 5.2. Adoption of adaptive multi-factor authentication reducing account takeover attacks
  • 5.3. Integration of device fingerprinting and geolocation analytics for dynamic fraud scoring
  • 5.4. Blockchain-enabled identity verification networks enhancing cross-border eCommerce security
  • 5.5. Machine learning driven anomaly detection minimizing chargeback losses across payment channels
  • 5.6. Real-time transaction monitoring platforms leveraging graph analytics to detect sophisticated fraud rings
  • 5.7. Integration of AI-based AML screening within checkout to prevent money laundering in online retail
  • 5.8. Voice and facial recognition authentication integrated into mobile commerce for fraud deterrence
  • 5.9. Predictive analytics for subscription fraud prevention in recurring billing eCommerce models
  • 5.10. Use of deep learning models to identify synthetic identities in high-value online transactions

6. Cumulative Impact of United States Tariffs 2025

7. Cumulative Impact of Artificial Intelligence 2025

8. eCommerce Fraud Detection & Prevention Market, by Solution

  • 8.1. Services
    • 8.1.1. Managed Services
    • 8.1.2. Professional Services
      • 8.1.2.1. Consulting & Assessment
      • 8.1.2.2. Integration & Implementation
      • 8.1.2.3. Model Tuning & Optimization
      • 8.1.2.4. Training & Enablement
  • 8.2. Software

9. eCommerce Fraud Detection & Prevention Market, by Fraud Type

  • 9.1. Account Takeover
  • 9.2. Card Fraud
  • 9.3. Friendly Fraud
  • 9.4. Identity Theft
  • 9.5. Merchant Fraud
  • 9.6. Phishing
  • 9.7. Refund Fraud

10. eCommerce Fraud Detection & Prevention Market, by Business Type

  • 10.1. B2B eCommerce
  • 10.2. B2C eCommerce

11. eCommerce Fraud Detection & Prevention Market, by Organization Size

  • 11.1. Large Enterprises
  • 11.2. Small & Medium Enterprises

12. eCommerce Fraud Detection & Prevention Market, by Deployment Mode

  • 12.1. Cloud-Based
  • 12.2. On-Premise

13. eCommerce Fraud Detection & Prevention Market, by Application

  • 13.1. Behavioral Analysis
  • 13.2. Chargeback Management
  • 13.3. Fraud Analytics
  • 13.4. Identity Authentication
    • 13.4.1. Biometric Verification
    • 13.4.2. Database & Signals Verification
    • 13.4.3. Document Verification
  • 13.5. Payment Fraud Detection
    • 13.5.1. Authorization Risk Scoring
    • 13.5.2. Post-Authorization Monitoring
    • 13.5.3. Pre-Authorization Screening
  • 13.6. Transaction Monitoring

14. eCommerce Fraud Detection & Prevention Market, by Region

  • 14.1. Americas
    • 14.1.1. North America
    • 14.1.2. Latin America
  • 14.2. Europe, Middle East & Africa
    • 14.2.1. Europe
    • 14.2.2. Middle East
    • 14.2.3. Africa
  • 14.3. Asia-Pacific

15. eCommerce Fraud Detection & Prevention Market, by Group

  • 15.1. ASEAN
  • 15.2. GCC
  • 15.3. European Union
  • 15.4. BRICS
  • 15.5. G7
  • 15.6. NATO

16. eCommerce Fraud Detection & Prevention Market, by Country

  • 16.1. United States
  • 16.2. Canada
  • 16.3. Mexico
  • 16.4. Brazil
  • 16.5. United Kingdom
  • 16.6. Germany
  • 16.7. France
  • 16.8. Russia
  • 16.9. Italy
  • 16.10. Spain
  • 16.11. China
  • 16.12. India
  • 16.13. Japan
  • 16.14. Australia
  • 16.15. South Korea

17. Competitive Landscape

  • 17.1. Market Share Analysis, 2024
  • 17.2. FPNV Positioning Matrix, 2024
  • 17.3. Competitive Analysis
    • 17.3.1. Equifax Inc.
    • 17.3.2. ACI Worldwide, Inc.
    • 17.3.3. Blackhawk Network Holdings, Inc.
    • 17.3.4. DXC Technology Company
    • 17.3.5. F5, Inc.
    • 17.3.6. Fiserv, Inc.
    • 17.3.7. International Business Machines Corporation
    • 17.3.8. LexisNexis Risk Solutions Inc. by RELX
    • 17.3.9. PayPal Holdings, Inc.
    • 17.3.10. Radial, Inc.
    • 17.3.11. Stripe, Inc.
    • 17.3.12. TransUnion LLC

LIST OF FIGURES

  • FIGURE 1. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, 2018-2032 (USD MILLION)
  • FIGURE 2. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SOLUTION, 2024 VS 2032 (%)
  • FIGURE 3. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SOLUTION, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 4. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2024 VS 2032 (%)
  • FIGURE 5. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 6. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY BUSINESS TYPE, 2024 VS 2032 (%)
  • FIGURE 7. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY BUSINESS TYPE, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 8. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2024 VS 2032 (%)
  • FIGURE 9. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 10. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT MODE, 2024 VS 2032 (%)
  • FIGURE 11. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT MODE, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 12. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY APPLICATION, 2024 VS 2032 (%)
  • FIGURE 13. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY APPLICATION, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 14. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY REGION, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 15. AMERICAS ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SUBREGION, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 16. NORTH AMERICA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 17. LATIN AMERICA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 18. EUROPE, MIDDLE EAST & AFRICA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SUBREGION, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 19. EUROPE ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 20. MIDDLE EAST ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 21. AFRICA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 22. ASIA-PACIFIC ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 23. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY GROUP, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 24. ASEAN ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 25. GCC ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 26. EUROPEAN UNION ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 27. BRICS ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 28. G7 ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 29. NATO ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 30. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 31. ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SHARE, BY KEY PLAYER, 2024
  • FIGURE 32. ECOMMERCE FRAUD DETECTION & PREVENTION MARKET, FPNV POSITIONING MATRIX, 2024

LIST OF TABLES

  • TABLE 1. ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SEGMENTATION & COVERAGE
  • TABLE 2. UNITED STATES DOLLAR EXCHANGE RATE, 2018-2024
  • TABLE 3. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, 2018-2024 (USD MILLION)
  • TABLE 4. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, 2025-2032 (USD MILLION)
  • TABLE 5. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SOLUTION, 2018-2024 (USD MILLION)
  • TABLE 6. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SOLUTION, 2025-2032 (USD MILLION)
  • TABLE 7. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SERVICES, 2018-2024 (USD MILLION)
  • TABLE 8. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SERVICES, 2025-2032 (USD MILLION)
  • TABLE 9. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SERVICES, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 10. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SERVICES, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 11. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SERVICES, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 12. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SERVICES, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 13. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SERVICES, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 14. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SERVICES, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 15. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY MANAGED SERVICES, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 16. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY MANAGED SERVICES, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 17. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY MANAGED SERVICES, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 18. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY MANAGED SERVICES, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 19. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY MANAGED SERVICES, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 20. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY MANAGED SERVICES, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 21. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY PROFESSIONAL SERVICES, 2018-2024 (USD MILLION)
  • TABLE 22. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY PROFESSIONAL SERVICES, 2025-2032 (USD MILLION)
  • TABLE 23. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY PROFESSIONAL SERVICES, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 24. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY PROFESSIONAL SERVICES, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 25. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY PROFESSIONAL SERVICES, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 26. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY PROFESSIONAL SERVICES, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 27. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY PROFESSIONAL SERVICES, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 28. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY PROFESSIONAL SERVICES, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 29. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY CONSULTING & ASSESSMENT, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 30. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY CONSULTING & ASSESSMENT, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 31. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY CONSULTING & ASSESSMENT, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 32. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY CONSULTING & ASSESSMENT, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 33. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY CONSULTING & ASSESSMENT, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 34. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY CONSULTING & ASSESSMENT, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 35. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY INTEGRATION & IMPLEMENTATION, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 36. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY INTEGRATION & IMPLEMENTATION, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 37. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY INTEGRATION & IMPLEMENTATION, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 38. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY INTEGRATION & IMPLEMENTATION, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 39. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY INTEGRATION & IMPLEMENTATION, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 40. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY INTEGRATION & IMPLEMENTATION, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 41. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY MODEL TUNING & OPTIMIZATION, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 42. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY MODEL TUNING & OPTIMIZATION, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 43. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY MODEL TUNING & OPTIMIZATION, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 44. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY MODEL TUNING & OPTIMIZATION, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 45. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY MODEL TUNING & OPTIMIZATION, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 46. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY MODEL TUNING & OPTIMIZATION, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 47. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY TRAINING & ENABLEMENT, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 48. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY TRAINING & ENABLEMENT, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 49. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY TRAINING & ENABLEMENT, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 50. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY TRAINING & ENABLEMENT, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 51. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY TRAINING & ENABLEMENT, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 52. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY TRAINING & ENABLEMENT, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 53. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SOFTWARE, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 54. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SOFTWARE, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 55. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SOFTWARE, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 56. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SOFTWARE, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 57. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SOFTWARE, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 58. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SOFTWARE, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 59. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2018-2024 (USD MILLION)
  • TABLE 60. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2025-2032 (USD MILLION)
  • TABLE 61. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ACCOUNT TAKEOVER, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 62. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ACCOUNT TAKEOVER, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 63. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ACCOUNT TAKEOVER, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 64. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ACCOUNT TAKEOVER, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 65. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ACCOUNT TAKEOVER, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 66. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ACCOUNT TAKEOVER, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 67. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY CARD FRAUD, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 68. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY CARD FRAUD, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 69. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY CARD FRAUD, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 70. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY CARD FRAUD, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 71. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY CARD FRAUD, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 72. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY CARD FRAUD, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 73. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRIENDLY FRAUD, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 74. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRIENDLY FRAUD, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 75. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRIENDLY FRAUD, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 76. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRIENDLY FRAUD, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 77. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRIENDLY FRAUD, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 78. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRIENDLY FRAUD, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 79. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY IDENTITY THEFT, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 80. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY IDENTITY THEFT, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 81. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY IDENTITY THEFT, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 82. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY IDENTITY THEFT, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 83. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY IDENTITY THEFT, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 84. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY IDENTITY THEFT, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 85. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY MERCHANT FRAUD, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 86. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY MERCHANT FRAUD, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 87. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY MERCHANT FRAUD, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 88. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY MERCHANT FRAUD, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 89. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY MERCHANT FRAUD, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 90. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY MERCHANT FRAUD, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 91. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY PHISHING, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 92. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY PHISHING, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 93. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY PHISHING, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 94. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY PHISHING, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 95. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY PHISHING, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 96. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY PHISHING, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 97. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY REFUND FRAUD, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 98. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY REFUND FRAUD, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 99. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY REFUND FRAUD, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 100. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY REFUND FRAUD, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 101. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY REFUND FRAUD, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 102. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY REFUND FRAUD, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 103. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY BUSINESS TYPE, 2018-2024 (USD MILLION)
  • TABLE 104. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY BUSINESS TYPE, 2025-2032 (USD MILLION)
  • TABLE 105. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY B2B ECOMMERCE, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 106. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY B2B ECOMMERCE, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 107. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY B2B ECOMMERCE, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 108. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY B2B ECOMMERCE, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 109. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY B2B ECOMMERCE, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 110. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY B2B ECOMMERCE, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 111. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY B2C ECOMMERCE, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 112. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY B2C ECOMMERCE, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 113. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY B2C ECOMMERCE, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 114. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY B2C ECOMMERCE, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 115. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY B2C ECOMMERCE, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 116. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY B2C ECOMMERCE, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 117. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2024 (USD MILLION)
  • TABLE 118. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2025-2032 (USD MILLION)
  • TABLE 119. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY LARGE ENTERPRISES, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 120. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY LARGE ENTERPRISES, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 121. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY LARGE ENTERPRISES, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 122. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY LARGE ENTERPRISES, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 123. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY LARGE ENTERPRISES, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 124. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY LARGE ENTERPRISES, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 125. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SMALL & MEDIUM ENTERPRISES, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 126. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SMALL & MEDIUM ENTERPRISES, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 127. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SMALL & MEDIUM ENTERPRISES, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 128. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SMALL & MEDIUM ENTERPRISES, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 129. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SMALL & MEDIUM ENTERPRISES, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 130. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SMALL & MEDIUM ENTERPRISES, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 131. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT MODE, 2018-2024 (USD MILLION)
  • TABLE 132. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT MODE, 2025-2032 (USD MILLION)
  • TABLE 133. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY CLOUD-BASED, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 134. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY CLOUD-BASED, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 135. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY CLOUD-BASED, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 136. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY CLOUD-BASED, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 137. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY CLOUD-BASED, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 138. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY CLOUD-BASED, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 139. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ON-PREMISE, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 140. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ON-PREMISE, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 141. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ON-PREMISE, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 142. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ON-PREMISE, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 143. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ON-PREMISE, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 144. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ON-PREMISE, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 145. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY APPLICATION, 2018-2024 (USD MILLION)
  • TABLE 146. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY APPLICATION, 2025-2032 (USD MILLION)
  • TABLE 147. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY BEHAVIORAL ANALYSIS, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 148. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY BEHAVIORAL ANALYSIS, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 149. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY BEHAVIORAL ANALYSIS, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 150. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY BEHAVIORAL ANALYSIS, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 151. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY BEHAVIORAL ANALYSIS, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 152. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY BEHAVIORAL ANALYSIS, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 153. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY CHARGEBACK MANAGEMENT, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 154. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY CHARGEBACK MANAGEMENT, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 155. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY CHARGEBACK MANAGEMENT, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 156. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY CHARGEBACK MANAGEMENT, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 157. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY CHARGEBACK MANAGEMENT, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 158. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY CHARGEBACK MANAGEMENT, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 159. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD ANALYTICS, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 160. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD ANALYTICS, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 161. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD ANALYTICS, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 162. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD ANALYTICS, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 163. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD ANALYTICS, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 164. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD ANALYTICS, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 165. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY IDENTITY AUTHENTICATION, 2018-2024 (USD MILLION)
  • TABLE 166. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY IDENTITY AUTHENTICATION, 2025-2032 (USD MILLION)
  • TABLE 167. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY IDENTITY AUTHENTICATION, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 168. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY IDENTITY AUTHENTICATION, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 169. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY IDENTITY AUTHENTICATION, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 170. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY IDENTITY AUTHENTICATION, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 171. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY IDENTITY AUTHENTICATION, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 172. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY IDENTITY AUTHENTICATION, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 173. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY BIOMETRIC VERIFICATION, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 174. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY BIOMETRIC VERIFICATION, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 175. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY BIOMETRIC VERIFICATION, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 176. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY BIOMETRIC VERIFICATION, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 177. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY BIOMETRIC VERIFICATION, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 178. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY BIOMETRIC VERIFICATION, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 179. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DATABASE & SIGNALS VERIFICATION, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 180. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DATABASE & SIGNALS VERIFICATION, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 181. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DATABASE & SIGNALS VERIFICATION, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 182. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DATABASE & SIGNALS VERIFICATION, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 183. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DATABASE & SIGNALS VERIFICATION, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 184. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DATABASE & SIGNALS VERIFICATION, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 185. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DOCUMENT VERIFICATION, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 186. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DOCUMENT VERIFICATION, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 187. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DOCUMENT VERIFICATION, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 188. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DOCUMENT VERIFICATION, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 189. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DOCUMENT VERIFICATION, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 190. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DOCUMENT VERIFICATION, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 191. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY PAYMENT FRAUD DETECTION, 2018-2024 (USD MILLION)
  • TABLE 192. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY PAYMENT FRAUD DETECTION, 2025-2032 (USD MILLION)
  • TABLE 193. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY PAYMENT FRAUD DETECTION, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 194. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY PAYMENT FRAUD DETECTION, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 195. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY PAYMENT FRAUD DETECTION, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 196. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY PAYMENT FRAUD DETECTION, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 197. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY PAYMENT FRAUD DETECTION, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 198. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY PAYMENT FRAUD DETECTION, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 199. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY AUTHORIZATION RISK SCORING, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 200. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY AUTHORIZATION RISK SCORING, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 201. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY AUTHORIZATION RISK SCORING, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 202. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY AUTHORIZATION RISK SCORING, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 203. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY AUTHORIZATION RISK SCORING, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 204. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY AUTHORIZATION RISK SCORING, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 205. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY POST-AUTHORIZATION MONITORING, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 206. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY POST-AUTHORIZATION MONITORING, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 207. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY POST-AUTHORIZATION MONITORING, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 208. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY POST-AUTHORIZATION MONITORING, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 209. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY POST-AUTHORIZATION MONITORING, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 210. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY POST-AUTHORIZATION MONITORING, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 211. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY PRE-AUTHORIZATION SCREENING, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 212. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY PRE-AUTHORIZATION SCREENING, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 213. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY PRE-AUTHORIZATION SCREENING, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 214. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY PRE-AUTHORIZATION SCREENING, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 215. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY PRE-AUTHORIZATION SCREENING, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 216. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY PRE-AUTHORIZATION SCREENING, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 217. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY TRANSACTION MONITORING, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 218. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY TRANSACTION MONITORING, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 219. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY TRANSACTION MONITORING, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 220. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY TRANSACTION MONITORING, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 221. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY TRANSACTION MONITORING, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 222. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY TRANSACTION MONITORING, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 223. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 224. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 225. AMERICAS ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SUBREGION, 2018-2024 (USD MILLION)
  • TABLE 226. AMERICAS ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SUBREGION, 2025-2032 (USD MILLION)
  • TABLE 227. AMERICAS ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SOLUTION, 2018-2024 (USD MILLION)
  • TABLE 228. AMERICAS ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SOLUTION, 2025-2032 (USD MILLION)
  • TABLE 229. AMERICAS ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SERVICES, 2018-2024 (USD MILLION)
  • TABLE 230. AMERICAS ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SERVICES, 2025-2032 (USD MILLION)
  • TABLE 231. AMERICAS ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY PROFESSIONAL SERVICES, 2018-2024 (USD MILLION)
  • TABLE 232. AMERICAS ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY PROFESSIONAL SERVICES, 2025-2032 (USD MILLION)
  • TABLE 233. AMERICAS ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2018-2024 (USD MILLION)
  • TABLE 234. AMERICAS ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2025-2032 (USD MILLION)
  • TABLE 235. AMERICAS ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY BUSINESS TYPE, 2018-2024 (USD MILLION)
  • TABLE 236. AMERICAS ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY BUSINESS TYPE, 2025-2032 (USD MILLION)
  • TABLE 237. AMERICAS ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2024 (USD MILLION)
  • TABLE 238. AMERICAS ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2025-2032 (USD MILLION)
  • TABLE 239. AMERICAS ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT MODE, 2018-2024 (USD MILLION)
  • TABLE 240. AMERICAS ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT MODE, 2025-2032 (USD MILLION)
  • TABLE 241. AMERICAS ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY APPLICATION, 2018-2024 (USD MILLION)
  • TABLE 242. AMERICAS ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY APPLICATION, 2025-2032 (USD MILLION)
  • TABLE 243. AMERICAS ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY IDENTITY AUTHENTICATION, 2018-2024 (USD MILLION)
  • TABLE 244. AMERICAS ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY IDENTITY AUTHENTICATION, 2025-2032 (USD MILLION)
  • TABLE 245. AMERICAS ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY PAYMENT FRAUD DETECTION, 2018-2024 (USD MILLION)
  • TABLE 246. AMERICAS ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY PAYMENT FRAUD DETECTION, 2025-2032 (USD MILLION)
  • TABLE 247. NORTH AMERICA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 248. NORTH AMERICA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 249. NORTH AMERICA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SOLUTION, 2018-2024 (USD MILLION)
  • TABLE 250. NORTH AMERICA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SOLUTION, 2025-2032 (USD MILLION)
  • TABLE 251. NORTH AMERICA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SERVICES, 2018-2024 (USD MILLION)
  • TABLE 252. NORTH AMERICA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SERVICES, 2025-2032 (USD MILLION)
  • TABLE 253. NORTH AMERICA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY PROFESSIONAL SERVICES, 2018-2024 (USD MILLION)
  • TABLE 254. NORTH AMERICA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY PROFESSIONAL SERVICES, 2025-2032 (USD MILLION)
  • TABLE 255. NORTH AMERICA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2018-2024 (USD MILLION)
  • TABLE 256. NORTH AMERICA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2025-2032 (USD MILLION)
  • TABLE 257. NORTH AMERICA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY BUSINESS TYPE, 2018-2024 (USD MILLION)
  • TABLE 258. NORTH AMERICA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY BUSINESS TYPE, 2025-2032 (USD MILLION)
  • TABLE 259. NORTH AMERICA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2024 (USD MILLION)
  • TABLE 260. NORTH AMERICA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2025-2032 (USD MILLION)
  • TABLE 261. NORTH AMERICA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT MODE, 2018-2024 (USD MILLION)
  • TABLE 262. NORTH AMERICA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT MODE, 2025-2032 (USD MILLION)
  • TABLE 263. NORTH AMERICA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY APPLICATION, 2018-2024 (USD MILLION)
  • TABLE 264. NORTH AMERICA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE,