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市场调查报告书
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1602269

电子商务诈欺侦测和预防市场：按诈欺类型、组织规模、行业和部署划分 - 2025-2030 年全球预测

eCommerce Fraud Detection & Prevention Market by Fraud Type (Card Testing, Credit Card Fraud, Friendly Fraud), Organization Size (Large Enterprises, Small & Medium-sized Enterprises), Industry, Deployment - Global Forecast 2025-2030
出版日期: | 出版商: 360iResearch | 英文 186 Pages | 商品交期: 最快1-2个工作天内

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2023年，电子商务诈欺检测和预防市场价值为479.3亿美元，预计到2024年将达到575.1亿美元，复合年增长率为21.45%，到2030年将达到1868.2亿美元，预计将达到1000万美元。

电子商务诈欺侦测和预防包括识别、减轻和预防线上交易中的诈欺活动的各种技术和策略。这一领域至关重要，因为电子商务诈骗的兴起和复杂性威胁着企业的财务生存能力和消费者的安全。有效的诈欺侦测的需求是保护敏感的消费者资料、维护商业信誉并避免财务损失。应用程式涵盖零售、银行和金融科技等多个领域，并使用机器学习、人工智慧和行为分析等工具来识别可疑活动。最终用途范围针对寻求强大解决方案来保护其交易的大型和小型企业。

主要市场统计
基准年[2023] 479.3亿美元
预测年份 [2024] 575.1亿美元
预测年份 [2030] 1868.2亿美元
复合年增长率（%） 21.45%

影响该市场的关键成长要素包括电子商务的激增、数位付款的使用不断增加，以及由于人工智慧和机器学习的进步而增强的预测分析能力。随着电子商务在全球范围内不断扩张，特别是在新兴市场，潜在的机会在于针对特定区域的解决方案和区块链的整合以增强安全性。透过投资人工智慧驱动的诈欺防制平台，公司可以专注于即时分析，以领先不断发展的诈欺技术。然而，也存在威胁静态反诈骗措施有效性的局限性，例如复杂技术的适应和诈骗技术的不断演变。

主要挑战包括确保适当的隐私控制以及克服可能赶走合法客户的误报困境。研发和创新可以专注于开发自适应学习模型，随着时间的推移不断发展和改进，以更准确地预测诈欺，同时最大限度地减少误报。公司之间共用资料还可以在不损害竞争优势的情况下提高诈欺情报。在不断的技术进步和监管变化的推动下，这个市场的本质是高度动态和竞争的。在预防诈欺方面优先考虑创新、用户体验和隐私的公司可能会保持竞争优势。

市场动态：揭示快速发展的电子商务诈欺检测和预防市场的关键市场洞察

供需的动态交互作用正在改变电子商务诈欺检测和预防市场。了解这些不断变化的市场动态可以帮助企业做出明智的投资决策、策略决策并抓住新的商机。全面了解这些趋势可以帮助企业降低政治、地理、技术、社会和经济领域的风险，同时消费行为及其对製造成本的影响以及对采购趋势的影响。

  • 市场驱动因素
    • 身份盗窃和诈骗行为增加
    • 增加电子商务平台上的客户群和交易
  • 市场限制因素
    • 经过培训的安全专业人员的意识和可用性有限
  • 市场机会
    • 线上业务的出现和中小企业安全解决方案的采用
    • 先进的电子商务诈骗检测系统简介
  • 市场挑战
    • 诈欺的复杂性

波特五力：驾驭电子商务诈欺侦测与预防市场的策略工具

波特的五力框架是了解市场竞争格局的重要工具。波特的五力框架为评估公司的竞争地位和探索策略机会提供了清晰的方法。该框架可帮助公司评估市场动态并确定新业务的盈利。这些见解使公司能够利用自己的优势、解决弱点并避免潜在的挑战，以确保更强大的市场地位。

PESTLE分析：了解电子商务诈欺检测和预防市场的外部影响

外部宏观环境因素在塑造电子商务诈欺侦测和预防市场的绩效动态方面发挥着至关重要的作用。对政治、经济、社会、技术、法律和环境因素的分析提供了应对这些影响所需的资讯。透过调查 PESTLE 因素，公司可以更了解潜在的风险和机会。这种分析可以帮助公司预测法规、消费者偏好和经济趋势的变化，并为他们做出积极主动的决策做好准备。

市场占有率分析 了解电子商务诈欺侦测和预防市场的竞争格局

电子商务诈欺检测和预防市场的详细市场占有率分析提供了对供应商绩效的全面评估。公司可以透过比较收益、客户群和成长率等关键指标来揭示其竞争地位。该分析揭示了市场集中、分散和整合的趋势，为供应商提供了製定策略决策所需的洞察力，使他们能够在日益激烈的竞争中占有一席之地。

FPNV 定位矩阵供应商在电子商务诈欺侦测与预防市场的绩效评估

FPNV定位矩阵是评估电子商务诈欺侦测和预防市场供应商的重要工具。此矩阵允许业务组织根据供应商的商务策略和产品满意度评估供应商，从而做出符合其目标的明智决策。这四个象限使您能够清晰、准确地划分供应商，并确定最能满足您的策略目标的合作伙伴和解决方案。

策略分析和建议，规划电子商务诈欺检测和预防市场的成功之路

对于希望加强在全球市场的影响力的公司来说，对电子商务诈欺检测和预防市场进行策略分析至关重要。透过审查关键资源、能力和绩效指标，公司可以识别成长机会并努力改进。这种方法使您能够克服竞争环境中的挑战，利用新的商机，并取得长期成功。

本报告对市场进行了全面分析，涵盖关键重点领域：

1. 市场渗透率：对当前市场环境的详细审查、主要企业的广泛资料、对其在市场中的影响力和整体影响力的评估。

2. 市场开拓：辨识新兴市场的成长机会，评估现有领域的扩张潜力，并提供未来成长的策略蓝图。

3. 市场多元化：分析近期产品发布、开拓地区、关键产业进展、塑造市场的策略投资。

4. 竞争评估与情报：彻底分析竞争格局，检验市场占有率、业务策略、产品系列、认证、监理核准、专利趋势、主要企业的技术进步等。

5. 产品开发与创新：重点在于有望推动未来市场成长的最尖端科技、研发活动和产品创新。

我们也回答重要问题，以帮助相关人员做出明智的决策：

1.目前的市场规模和未来的成长预测是多少？

2. 哪些产品、区隔市场和地区提供最佳投资机会？

3.塑造市场的主要技术趋势和监管影响是什么？

4.主要厂商的市场占有率和竞争地位如何？

5. 推动供应商市场进入和退出策略的收益来源和策略机会是什么？

目录

第一章 前言

第二章调查方法

第三章执行摘要

第四章市场概况

第五章市场洞察

  • 市场动态
    • 促进因素
      • 身份窃盗和商家诈骗的增加
      • 电子商务平台上的基本客群和交易量增加
    • 抑制因素
      • 熟练的安全专业人员的意识和存在有限
    • 机会
      • 中小企业线上业务的出现和安全解决方案的引入
      • 先进的电子商务诈骗侦测系统简介
    • 任务
      • 诈骗的复杂性日益增加
  • 市场区隔分析
    • 诈骗类型：随着电子商务购买量的增加，网路钓鱼和身分盗窃呈上升趋势。
    • 组织类型：大型企业需要全面的电子商务诈骗侦测计划
    • 产业：银行和零售业对进阶诈骗侦测和预防的需求正在激增。
    • 采用：云端基础的电子商务诈骗检测和预防越来越受欢迎，因为它提供了更高的灵活性和扩充性。
  • 波特五力分析
  • PESTEL分析
    • 政治的
    • 经济
    • 社群
    • 技术的
    • 合法地
    • 环境
  • 客户客製化

第六章 电子商务诈欺按市场诈骗类型的检测与防范

  • 卡测试
  • 卡片诈骗
  • 友善的诈骗
  • 身分盗窃
  • 商家诈骗
  • 网路钓鱼
  • 退款诈骗

第七章电子商务诈欺侦测与预防市场：依组织规模

  • 大公司
  • 小型企业

第八章电子商务诈欺侦测与预防市场：依行业

  • 航太和国防
  • 汽车/交通
  • 银行、金融服务和保险
  • 建筑、建筑、房地产
  • 消费品/零售
  • 教育
  • 能源/公共产业
  • 政府和公共部门
  • 医疗保健和生命科学
  • 资讯科技
  • 製造业
  • 媒体和娱乐
  • 通讯
  • 旅游/酒店

第九章电子商务诈欺侦测与预防市场：按发展划分

  • 在云端
  • 本地

第十章美洲电子商务诈欺侦测与预防市场

  • 阿根廷
  • 巴西
  • 加拿大
  • 墨西哥
  • 美国

第十一章亚太电子商务诈欺侦测与预防市场

  • 澳洲
  • 中国
  • 印度
  • 印尼
  • 日本
  • 马来西亚
  • 菲律宾
  • 新加坡
  • 韩国
  • 台湾
  • 泰国
  • 越南

第十二章欧洲、中东和非洲的电子商务诈欺侦测与预防市场

  • 丹麦
  • 埃及
  • 芬兰
  • 法国
  • 德国
  • 以色列
  • 义大利
  • 荷兰
  • 奈及利亚
  • 挪威
  • 波兰
  • 卡达
  • 俄罗斯
  • 沙乌地阿拉伯
  • 南非
  • 西班牙
  • 瑞典
  • 瑞士
  • 土耳其
  • 阿拉伯聯合大公国
  • 英国

第十三章竞争格局

  • 2023 年市场占有率分析
  • FPNV 定位矩阵，2023
  • 竞争情境分析
    • Mangopay 的人工智慧解决方案透过即时侦测和安全整合处于打击电子商务诈骗的最前沿。
    • Visa利用人工智慧创新增强电子商务诈骗侦测与预防并提高交易安全
    • Equifax 和 VTEX 之间的全球合作透过先进的人工智慧解决方案加强电子商务诈骗预防
    • Namaste Credit 与 Microsoft Azure 合作推出独特的诈骗侦测功能
    • CellPoint Digital 和 Riskified 合作伙伴透过业界领先的付款解决方案加强对航空公司和旅游提供者的诈欺保护
    • Chargeflow 利用 AI 对抗扣回争议帐款，融资 1,400 万美元
    • 万事达卡和 Vesta 合作为亚太地区提供增强的数位诈骗侦测解决方案
  • 战略分析和建议
    • ACI环球有限公司

公司名单

  • ACI Worldwide, Inc.
  • Blackhawk Network Holdings, Inc.
  • Bolt Financial, Inc.
  • Chargeflow, Inc.
  • ClearSale LLC
  • DXC Technology Company
  • Ekata
  • Equifax Inc.
  • F5, Inc.
  • Fiserv, Inc.
  • Forter, Ltd.
  • Fraud.com
  • Fraud.net Inc.
  • Hexasoft Development Sdn. Bhd.
  • Infosys Limited
  • International Business Machines Corporation
  • LexisNexis Risk Solutions Group
  • Lyra Network Private Limited
  • MarkMonitor Inc.
  • NortonLifeLock Inc.
  • PayPal Holdings, Inc.
  • Radial, Inc.
  • Riskified, Ltd.
  • RSA Security LLC
  • SEON Technologies Ltd.
  • SHIELD AI Technologies Pte. Ltd.
  • Sift Science, Inc.
  • Signifyd Inc.
  • Software AG
  • Stripe, Inc.
  • Subuno
  • TransUnion LLC
Product Code: MRR-43676CF424EE

The eCommerce Fraud Detection & Prevention Market was valued at USD 47.93 billion in 2023, expected to reach USD 57.51 billion in 2024, and is projected to grow at a CAGR of 21.45%, to USD 186.82 billion by 2030.

The scope of eCommerce fraud detection and prevention encompasses a range of technologies and strategies designed to identify, mitigate, and prevent fraudulent activities in online transactions. This field is crucial due to the increasing volume and sophistication of eCommerce fraud, which threatens both businesses' financial viability and consumers' security. The necessity of effective fraud detection lies in protecting sensitive consumer data, maintaining business credibility, and avoiding financial losses. Applications span various sectors like retail, banking, and fintech, and involve tools such as machine learning, AI, and behavioral analytics to identify suspicious activities. The end-use scope targets both large enterprises and SMEs seeking robust solutions to safeguard transactions.

KEY MARKET STATISTICS
Base Year [2023] USD 47.93 billion
Estimated Year [2024] USD 57.51 billion
Forecast Year [2030] USD 186.82 billion
CAGR (%) 21.45%

Key growth factors influencing this market include rising eCommerce adoption, heightened digital payment usage, and advancements in AI and machine learning, allowing for improved predictive analytics capabilities. As eCommerce continues to expand globally, especially in emerging markets, potential opportunities lie in regional-specific solutions and the integration of blockchain for enhanced security. Companies can capitalize by investing in AI-driven fraud prevention platforms, focusing on real-time analytics to stay ahead of evolving fraud tactics. Yet, limitations exist, including the adaptation of complex technologies and the persistent evolution of fraud methods which challenge the efficacy of static fraud prevention measures.

The main challenges include ensuring adequate privacy controls and overcoming the false positive dilemma that could alienate legitimate customers. Research and innovation could focus on developing adaptive learning models, which evolve and improve over time to more accurately predict fraudulent behavior while minimizing false positives. Data sharing initiatives among enterprises could also enhance collective fraud intelligence without compromising competitive advantages. The nature of this market is highly dynamic and competitive, driven by continuous technological advancements and regulatory changes. Companies that prioritize innovation, user experience, and privacy in fraud prevention are likely to maintain a competitive edge.

Market Dynamics: Unveiling Key Market Insights in the Rapidly Evolving eCommerce Fraud Detection & Prevention Market

The eCommerce Fraud Detection & Prevention Market is undergoing transformative changes driven by a dynamic interplay of supply and demand factors. Understanding these evolving market dynamics prepares business organizations to make informed investment decisions, refine strategic decisions, and seize new opportunities. By gaining a comprehensive view of these trends, business organizations can mitigate various risks across political, geographic, technical, social, and economic domains while also gaining a clearer understanding of consumer behavior and its impact on manufacturing costs and purchasing trends.

  • Market Drivers
    • Growing number of identity theft and merchant scams
    • Increasing customer base and transactions on eCommerce platforms
  • Market Restraints
    • Limited awareness and availability of the skilled security professionals
  • Market Opportunities
    • Emergence of online businesses and adoption of security solutions in SMEs
    • Introduction of advanced eCommerce fraud detection systems
  • Market Challenges
    • Rising complexity of frauds

Porter's Five Forces: A Strategic Tool for Navigating the eCommerce Fraud Detection & Prevention Market

Porter's five forces framework is a critical tool for understanding the competitive landscape of the eCommerce Fraud Detection & Prevention Market. It offers business organizations with a clear methodology for evaluating their competitive positioning and exploring strategic opportunities. This framework helps businesses assess the power dynamics within the market and determine the profitability of new ventures. With these insights, business organizations can leverage their strengths, address weaknesses, and avoid potential challenges, ensuring a more resilient market positioning.

PESTLE Analysis: Navigating External Influences in the eCommerce Fraud Detection & Prevention Market

External macro-environmental factors play a pivotal role in shaping the performance dynamics of the eCommerce Fraud Detection & Prevention Market. Political, Economic, Social, Technological, Legal, and Environmental factors analysis provides the necessary information to navigate these influences. By examining PESTLE factors, businesses can better understand potential risks and opportunities. This analysis enables business organizations to anticipate changes in regulations, consumer preferences, and economic trends, ensuring they are prepared to make proactive, forward-thinking decisions.

Market Share Analysis: Understanding the Competitive Landscape in the eCommerce Fraud Detection & Prevention Market

A detailed market share analysis in the eCommerce Fraud Detection & Prevention Market provides a comprehensive assessment of vendors' performance. Companies can identify their competitive positioning by comparing key metrics, including revenue, customer base, and growth rates. This analysis highlights market concentration, fragmentation, and trends in consolidation, offering vendors the insights required to make strategic decisions that enhance their position in an increasingly competitive landscape.

FPNV Positioning Matrix: Evaluating Vendors' Performance in the eCommerce Fraud Detection & Prevention Market

The Forefront, Pathfinder, Niche, Vital (FPNV) Positioning Matrix is a critical tool for evaluating vendors within the eCommerce Fraud Detection & Prevention Market. This matrix enables business organizations to make well-informed decisions that align with their goals by assessing vendors based on their business strategy and product satisfaction. The four quadrants provide a clear and precise segmentation of vendors, helping users identify the right partners and solutions that best fit their strategic objectives.

Strategy Analysis & Recommendation: Charting a Path to Success in the eCommerce Fraud Detection & Prevention Market

A strategic analysis of the eCommerce Fraud Detection & Prevention Market is essential for businesses looking to strengthen their global market presence. By reviewing key resources, capabilities, and performance indicators, business organizations can identify growth opportunities and work toward improvement. This approach helps businesses navigate challenges in the competitive landscape and ensures they are well-positioned to capitalize on newer opportunities and drive long-term success.

Key Company Profiles

The report delves into recent significant developments in the eCommerce Fraud Detection & Prevention Market, highlighting leading vendors and their innovative profiles. These include ACI Worldwide, Inc., Blackhawk Network Holdings, Inc., Bolt Financial, Inc., Chargeflow, Inc., ClearSale LLC, DXC Technology Company, Ekata, Equifax Inc., F5, Inc., Fiserv, Inc., Forter, Ltd., Fraud.com, Fraud.net Inc., Hexasoft Development Sdn. Bhd., Infosys Limited, International Business Machines Corporation, LexisNexis Risk Solutions Group, Lyra Network Private Limited, MarkMonitor Inc., NortonLifeLock Inc., PayPal Holdings, Inc., Radial, Inc., Riskified, Ltd., RSA Security LLC, SEON Technologies Ltd., SHIELD AI Technologies Pte. Ltd., Sift Science, Inc., Signifyd Inc., Software AG, Stripe, Inc., Subuno, and TransUnion LLC.

Market Segmentation & Coverage

This research report categorizes the eCommerce Fraud Detection & Prevention Market to forecast the revenues and analyze trends in each of the following sub-markets:

  • Based on Fraud Type, market is studied across Card Testing, Credit Card Fraud, Friendly Fraud, Identity Theft, Merchant Fraud, Phishing, and Refund Fraud.
  • Based on Organization Size, market is studied across Large Enterprises and Small & Medium-sized Enterprises.
  • Based on Industry, market is studied across Aerospace & Defense, Automotive & Transportation, Banking, Financial Services & Insurance, Building, Construction & Real Estate, Consumer Goods & Retail, Education, Energy & Utilities, Government & Public Sector, Healthcare & Life Sciences, Information Technology, Manufacturing, Media & Entertainment, Telecommunication, and Travel & Hospitality.
  • Based on Deployment, market is studied across On-Cloud and On-Premise.
  • Based on Region, market is studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas is further studied across Argentina, Brazil, Canada, Mexico, and United States. The United States is further studied across California, Florida, Illinois, New York, Ohio, Pennsylvania, and Texas. The Asia-Pacific is further studied across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Taiwan, Thailand, and Vietnam. The Europe, Middle East & Africa is further studied across Denmark, Egypt, Finland, France, Germany, Israel, Italy, Netherlands, Nigeria, Norway, Poland, Qatar, Russia, Saudi Arabia, South Africa, Spain, Sweden, Switzerland, Turkey, United Arab Emirates, and United Kingdom.

The report offers a comprehensive analysis of the market, covering key focus areas:

1. Market Penetration: A detailed review of the current market environment, including extensive data from top industry players, evaluating their market reach and overall influence.

2. Market Development: Identifies growth opportunities in emerging markets and assesses expansion potential in established sectors, providing a strategic roadmap for future growth.

3. Market Diversification: Analyzes recent product launches, untapped geographic regions, major industry advancements, and strategic investments reshaping the market.

4. Competitive Assessment & Intelligence: Provides a thorough analysis of the competitive landscape, examining market share, business strategies, product portfolios, certifications, regulatory approvals, patent trends, and technological advancements of key players.

5. Product Development & Innovation: Highlights cutting-edge technologies, R&D activities, and product innovations expected to drive future market growth.

The report also answers critical questions to aid stakeholders in making informed decisions:

1. What is the current market size, and what is the forecasted growth?

2. Which products, segments, and regions offer the best investment opportunities?

3. What are the key technology trends and regulatory influences shaping the market?

4. How do leading vendors rank in terms of market share and competitive positioning?

5. What revenue sources and strategic opportunities drive vendors' market entry or exit strategies?

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

  • 2.1. Define: Research Objective
  • 2.2. Determine: Research Design
  • 2.3. Prepare: Research Instrument
  • 2.4. Collect: Data Source
  • 2.5. Analyze: Data Interpretation
  • 2.6. Formulate: Data Verification
  • 2.7. Publish: Research Report
  • 2.8. Repeat: Report Update

3. Executive Summary

4. Market Overview

5. Market Insights

  • 5.1. Market Dynamics
    • 5.1.1. Drivers
      • 5.1.1.1. Growing number of identity theft and merchant scams
      • 5.1.1.2. Increasing customer base and transactions on eCommerce platforms
    • 5.1.2. Restraints
      • 5.1.2.1. Limited awareness and availability of the skilled security professionals
    • 5.1.3. Opportunities
      • 5.1.3.1. Emergence of online businesses and adoption of security solutions in SMEs
      • 5.1.3.2. Introduction of advanced eCommerce fraud detection systems
    • 5.1.4. Challenges
      • 5.1.4.1. Rising complexity of frauds
  • 5.2. Market Segmentation Analysis
    • 5.2.1. Fraud Type: Increasing cases of phishing and identity theft with the rising number of eCommerce purchases
    • 5.2.2. Organization Type: Need for comprehensive eCommerce fraud detection plans for large enterprises
    • 5.2.3. Industry: Exponential need for advanced fraud detection & prevention by banking and retail industries
    • 5.2.4. Deployment: Emerging popularity of cloud-based eCommerce fraud detection and prevention to attain improved flexibility and scalability
  • 5.3. Porter's Five Forces Analysis
    • 5.3.1. Threat of New Entrants
    • 5.3.2. Threat of Substitutes
    • 5.3.3. Bargaining Power of Customers
    • 5.3.4. Bargaining Power of Suppliers
    • 5.3.5. Industry Rivalry
  • 5.4. PESTLE Analysis
    • 5.4.1. Political
    • 5.4.2. Economic
    • 5.4.3. Social
    • 5.4.4. Technological
    • 5.4.5. Legal
    • 5.4.6. Environmental
  • 5.5. Client Customization

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

  • 6.1. Introduction
  • 6.2. Card Testing
  • 6.3. Credit Card Fraud
  • 6.4. Friendly Fraud
  • 6.5. Identity Theft
  • 6.6. Merchant Fraud
  • 6.7. Phishing
  • 6.8. Refund Fraud

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

  • 7.1. Introduction
  • 7.2. Large Enterprises
  • 7.3. Small & Medium-sized Enterprises

8. eCommerce Fraud Detection & Prevention Market, by Industry

  • 8.1. Introduction
  • 8.2. Aerospace & Defense
  • 8.3. Automotive & Transportation
  • 8.4. Banking, Financial Services & Insurance
  • 8.5. Building, Construction & Real Estate
  • 8.6. Consumer Goods & Retail
  • 8.7. Education
  • 8.8. Energy & Utilities
  • 8.9. Government & Public Sector
  • 8.10. Healthcare & Life Sciences
  • 8.11. Information Technology
  • 8.12. Manufacturing
  • 8.13. Media & Entertainment
  • 8.14. Telecommunication
  • 8.15. Travel & Hospitality

9. eCommerce Fraud Detection & Prevention Market, by Deployment

  • 9.1. Introduction
  • 9.2. On-Cloud
  • 9.3. On-Premise

10. Americas eCommerce Fraud Detection & Prevention Market

  • 10.1. Introduction
  • 10.2. Argentina
  • 10.3. Brazil
  • 10.4. Canada
  • 10.5. Mexico
  • 10.6. United States

11. Asia-Pacific eCommerce Fraud Detection & Prevention Market

  • 11.1. Introduction
  • 11.2. Australia
  • 11.3. China
  • 11.4. India
  • 11.5. Indonesia
  • 11.6. Japan
  • 11.7. Malaysia
  • 11.8. Philippines
  • 11.9. Singapore
  • 11.10. South Korea
  • 11.11. Taiwan
  • 11.12. Thailand
  • 11.13. Vietnam

12. Europe, Middle East & Africa eCommerce Fraud Detection & Prevention Market

  • 12.1. Introduction
  • 12.2. Denmark
  • 12.3. Egypt
  • 12.4. Finland
  • 12.5. France
  • 12.6. Germany
  • 12.7. Israel
  • 12.8. Italy
  • 12.9. Netherlands
  • 12.10. Nigeria
  • 12.11. Norway
  • 12.12. Poland
  • 12.13. Qatar
  • 12.14. Russia
  • 12.15. Saudi Arabia
  • 12.16. South Africa
  • 12.17. Spain
  • 12.18. Sweden
  • 12.19. Switzerland
  • 12.20. Turkey
  • 12.21. United Arab Emirates
  • 12.22. United Kingdom

13. Competitive Landscape

  • 13.1. Market Share Analysis, 2023
  • 13.2. FPNV Positioning Matrix, 2023
  • 13.3. Competitive Scenario Analysis
    • 13.3.1. Mangopay's AI-powered solution spearheads the fight against eCommerce fraud with real-time detection and secure integration
    • 13.3.2. Visa leverages AI innovations to bolster eCommerce fraud detection and prevention, enhancing transactional security
    • 13.3.3. Global collaboration between Equifax and VTEX strengthens ecommerce fraud protection with advanced AI solutions
    • 13.3.4. Namaste Credit Partners with Microsoft Azure to Launch Proprietary Fraud Detection Capabilities
    • 13.3.5. CellPoint Digital and Riskified Partner to Enhance Fraud Protection for Airlines and Travel Merchants with Industry-Leading Payments Solution
    • 13.3.6. Chargeflow, Which Taps AI to Fight Chargebacks, Raises USD 14 Million
    • 13.3.7. Mastercard and Vesta Partner To Deliver Enhanced Digital Fraud Detection Solutions For Asia Pacific
  • 13.4. Strategy Analysis & Recommendation
    • 13.4.1. ACI Worldwide, Inc.

Companies Mentioned

  • 1. ACI Worldwide, Inc.
  • 2. Blackhawk Network Holdings, Inc.
  • 3. Bolt Financial, Inc.
  • 4. Chargeflow, Inc.
  • 5. ClearSale LLC
  • 6. DXC Technology Company
  • 7. Ekata
  • 8. Equifax Inc.
  • 9. F5, Inc.
  • 10. Fiserv, Inc.
  • 11. Forter, Ltd.
  • 12. Fraud.com
  • 13. Fraud.net Inc.
  • 14. Hexasoft Development Sdn. Bhd.
  • 15. Infosys Limited
  • 16. International Business Machines Corporation
  • 17. LexisNexis Risk Solutions Group
  • 18. Lyra Network Private Limited
  • 19. MarkMonitor Inc.
  • 20. NortonLifeLock Inc.
  • 21. PayPal Holdings, Inc.
  • 22. Radial, Inc.
  • 23. Riskified, Ltd.
  • 24. RSA Security LLC
  • 25. SEON Technologies Ltd.
  • 26. SHIELD AI Technologies Pte. Ltd.
  • 27. Sift Science, Inc.
  • 28. Signifyd Inc.
  • 29. Software AG
  • 30. Stripe, Inc.
  • 31. Subuno
  • 32. TransUnion LLC

LIST OF FIGURES

  • FIGURE 1. ECOMMERCE FRAUD DETECTION & PREVENTION MARKET RESEARCH PROCESS
  • FIGURE 2. ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, 2023 VS 2030
  • FIGURE 3. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, 2018-2030 (USD MILLION)
  • FIGURE 4. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY REGION, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 5. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 6. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2023 VS 2030 (%)
  • FIGURE 7. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 8. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2023 VS 2030 (%)
  • FIGURE 9. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 10. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY INDUSTRY, 2023 VS 2030 (%)
  • FIGURE 11. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY INDUSTRY, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 12. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT, 2023 VS 2030 (%)
  • FIGURE 13. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 14. AMERICAS ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
  • FIGURE 15. AMERICAS ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 16. UNITED STATES ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY STATE, 2023 VS 2030 (%)
  • FIGURE 17. UNITED STATES ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY STATE, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 18. ASIA-PACIFIC ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
  • FIGURE 19. ASIA-PACIFIC ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 20. EUROPE, MIDDLE EAST & AFRICA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
  • FIGURE 21. EUROPE, MIDDLE EAST & AFRICA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 22. ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SHARE, BY KEY PLAYER, 2023
  • FIGURE 23. ECOMMERCE FRAUD DETECTION & PREVENTION MARKET, FPNV POSITIONING MATRIX, 2023

LIST OF TABLES

  • TABLE 1. ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SEGMENTATION & COVERAGE
  • TABLE 2. UNITED STATES DOLLAR EXCHANGE RATE, 2018-2023
  • TABLE 3. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, 2018-2030 (USD MILLION)
  • TABLE 4. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 5. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 6. ECOMMERCE FRAUD DETECTION & PREVENTION MARKET DYNAMICS
  • TABLE 7. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2018-2030 (USD MILLION)
  • TABLE 8. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY CARD TESTING, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 9. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY CREDIT CARD FRAUD, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 10. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRIENDLY FRAUD, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 11. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY IDENTITY THEFT, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 12. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY MERCHANT FRAUD, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 13. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY PHISHING, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 14. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY REFUND FRAUD, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 15. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 16. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY LARGE ENTERPRISES, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 17. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SMALL & MEDIUM-SIZED ENTERPRISES, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 18. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 19. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY AEROSPACE & DEFENSE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 20. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY AUTOMOTIVE & TRANSPORTATION, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 21. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY BANKING, FINANCIAL SERVICES & INSURANCE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 22. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY BUILDING, CONSTRUCTION & REAL ESTATE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 23. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY CONSUMER GOODS & RETAIL, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 24. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY EDUCATION, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 25. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ENERGY & UTILITIES, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 26. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY GOVERNMENT & PUBLIC SECTOR, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 27. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY HEALTHCARE & LIFE SCIENCES, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 28. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY INFORMATION TECHNOLOGY, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 29. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY MANUFACTURING, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 30. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY MEDIA & ENTERTAINMENT, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 31. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY TELECOMMUNICATION, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 32. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY TRAVEL & HOSPITALITY, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 33. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 34. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ON-CLOUD, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 35. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ON-PREMISE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 36. AMERICAS ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2018-2030 (USD MILLION)
  • TABLE 37. AMERICAS ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 38. AMERICAS ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 39. AMERICAS ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 40. AMERICAS ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 41. ARGENTINA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2018-2030 (USD MILLION)
  • TABLE 42. ARGENTINA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 43. ARGENTINA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 44. ARGENTINA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 45. BRAZIL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2018-2030 (USD MILLION)
  • TABLE 46. BRAZIL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 47. BRAZIL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 48. BRAZIL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 49. CANADA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2018-2030 (USD MILLION)
  • TABLE 50. CANADA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 51. CANADA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 52. CANADA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 53. MEXICO ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2018-2030 (USD MILLION)
  • TABLE 54. MEXICO ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 55. MEXICO ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 56. MEXICO ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 57. UNITED STATES ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2018-2030 (USD MILLION)
  • TABLE 58. UNITED STATES ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 59. UNITED STATES ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 60. UNITED STATES ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 61. UNITED STATES ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY STATE, 2018-2030 (USD MILLION)
  • TABLE 62. ASIA-PACIFIC ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2018-2030 (USD MILLION)
  • TABLE 63. ASIA-PACIFIC ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 64. ASIA-PACIFIC ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 65. ASIA-PACIFIC ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 66. ASIA-PACIFIC ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 67. AUSTRALIA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2018-2030 (USD MILLION)
  • TABLE 68. AUSTRALIA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 69. AUSTRALIA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 70. AUSTRALIA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 71. CHINA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2018-2030 (USD MILLION)
  • TABLE 72. CHINA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 73. CHINA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 74. CHINA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 75. INDIA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2018-2030 (USD MILLION)
  • TABLE 76. INDIA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 77. INDIA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 78. INDIA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 79. INDONESIA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2018-2030 (USD MILLION)
  • TABLE 80. INDONESIA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 81. INDONESIA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 82. INDONESIA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 83. JAPAN ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2018-2030 (USD MILLION)
  • TABLE 84. JAPAN ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 85. JAPAN ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 86. JAPAN ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 87. MALAYSIA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2018-2030 (USD MILLION)
  • TABLE 88. MALAYSIA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 89. MALAYSIA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 90. MALAYSIA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 91. PHILIPPINES ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2018-2030 (USD MILLION)
  • TABLE 92. PHILIPPINES ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 93. PHILIPPINES ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 94. PHILIPPINES ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 95. SINGAPORE ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2018-2030 (USD MILLION)
  • TABLE 96. SINGAPORE ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 97. SINGAPORE ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 98. SINGAPORE ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 99. SOUTH KOREA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2018-2030 (USD MILLION)
  • TABLE 100. SOUTH KOREA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 101. SOUTH KOREA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 102. SOUTH KOREA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 103. TAIWAN ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2018-2030 (USD MILLION)
  • TABLE 104. TAIWAN ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 105. TAIWAN ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 106. TAIWAN ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 107. THAILAND ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2018-2030 (USD MILLION)
  • TABLE 108. THAILAND ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 109. THAILAND ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 110. THAILAND ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 111. VIETNAM ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2018-2030 (USD MILLION)
  • TABLE 112. VIETNAM ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 113. VIETNAM ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 114. VIETNAM ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 115. EUROPE, MIDDLE EAST & AFRICA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2018-2030 (USD MILLION)
  • TABLE 116. EUROPE, MIDDLE EAST & AFRICA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 117. EUROPE, MIDDLE EAST & AFRICA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 118. EUROPE, MIDDLE EAST & AFRICA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 119. EUROPE, MIDDLE EAST & AFRICA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 120. DENMARK ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2018-2030 (USD MILLION)
  • TABLE 121. DENMARK ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 122. DENMARK ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 123. DENMARK ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 124. EGYPT ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2018-2030 (USD MILLION)
  • TABLE 125. EGYPT ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 126. EGYPT ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 127. EGYPT ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 128. FINLAND ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2018-2030 (USD MILLION)
  • TABLE 129. FINLAND ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 130. FINLAND ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 131. FINLAND ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 132. FRANCE ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2018-2030 (USD MILLION)
  • TABLE 133. FRANCE ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 134. FRANCE ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 135. FRANCE ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 136. GERMANY ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2018-2030 (USD MILLION)
  • TABLE 137. GERMANY ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 138. GERMANY ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 139. GERMANY ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 140. ISRAEL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2018-2030 (USD MILLION)
  • TABLE 141. ISRAEL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 142. ISRAEL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 143. ISRAEL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 144. ITALY ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2018-2030 (USD MILLION)
  • TABLE 145. ITALY ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 146. ITALY ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 147. ITALY ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 148. NETHERLANDS ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2018-2030 (USD MILLION)
  • TABLE 149. NETHERLANDS ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 150. NETHERLANDS ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 151. NETHERLANDS ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 152. NIGERIA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2018-2030 (USD MILLION)
  • TABLE 153. NIGERIA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 154. NIGERIA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 155. NIGERIA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 156. NORWAY ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2018-2030 (USD MILLION)
  • TABLE 157. NORWAY ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 158. NORWAY ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 159. NORWAY ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 160. POLAND ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2018-2030 (USD MILLION)
  • TABLE 161. POLAND ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 162. POLAND ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 163. POLAND ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 164. QATAR ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2018-2030 (USD MILLION)
  • TABLE 165. QATAR ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 166. QATAR ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 167. QATAR ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 168. RUSSIA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2018-2030 (USD MILLION)
  • TABLE 169. RUSSIA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 170. RUSSIA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 171. RUSSIA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 172. SAUDI ARABIA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2018-2030 (USD MILLION)
  • TABLE 173. SAUDI ARABIA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 174. SAUDI ARABIA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 175. SAUDI ARABIA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 176. SOUTH AFRICA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2018-2030 (USD MILLION)
  • TABLE 177. SOUTH AFRICA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 178. SOUTH AFRICA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 179. SOUTH AFRICA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 180. SPAIN ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2018-2030 (USD MILLION)
  • TABLE 181. SPAIN ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 182. SPAIN ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 183. SPAIN ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 184. SWEDEN ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2018-2030 (USD MILLION)
  • TABLE 185. SWEDEN ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 186. SWEDEN ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 187. SWEDEN ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 188. SWITZERLAND ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2018-2030 (USD MILLION)
  • TABLE 189. SWITZERLAND ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 190. SWITZERLAND ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 191. SWITZERLAND ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 192. TURKEY ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2018-2030 (USD MILLION)
  • TABLE 193. TURKEY ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 194. TURKEY ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 195. TURKEY ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 196. UNITED ARAB EMIRATES ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2018-2030 (USD MILLION)
  • TABLE 197. UNITED ARAB EMIRATES ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 198. UNITED ARAB EMIRATES ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 199. UNITED ARAB EMIRATES ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 200. UNITED KINGDOM ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2018-2030 (USD MILLION)
  • TABLE 201. UNITED KINGDOM ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 202. UNITED KINGDOM ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 203. UNITED KINGDOM ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 204. ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SHARE, BY KEY PLAYER, 2023
  • TABLE 205. ECOMMERCE FRAUD DETECTION & PREVENTION MARKET, FPNV POSITIONING MATRIX, 2023