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市场调查报告书
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1714739

电子商务诈欺侦测与预防市场：2025-2030 年全球预测（按解决方案、诈欺类型、应用、最终用户、部署类型和组织规模）

eCommerce Fraud Detection & Prevention Market by Solution, Fraud Type, Application, End User, Deployment Mode, Organization Size - Global Forecast 2025-2030
出版日期: | 出版商: 360iResearch | 英文 198 Pages | 商品交期: 最快1-2个工作天内

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预计到 2024 年电子商务诈欺侦测和预防市场价值将达到 575.1 亿美元，到 2025 年将成长至 691.2 亿美元，复合年增长率为 21.69%，到 2030 年将达到 1868.2 亿美元。

主要市场统计数据
基准年2024年 575.1亿美元
预计2025年 691.2亿美元
预测年份 2030 1868.2亿美元
复合年增长率（%） 21.69%

由于数位威胁不断演变和技术不断进步，电子商务诈欺侦测和预防状况正在经历快速创新。近年来，网路犯罪和诈欺的复杂性意味着在数位空间中运作的企业需要采取强有力的方法。组织越来越多地利用复杂的工具和技术来侦测和减轻诈欺行为，以免其造成重大的财务和声誉损失。该行业的特点是不断推动人工智慧、机器学习和巨量资料分析的应用，这些技术正在增强系统即时识别异常行为的能力。

在这种动态环境中，相关人员的合作至关重要。企业、技术提供者和监管机构正在共同努力製定一个框架，以主动应对新出现的风险。增强的分析工具和跨产业专业知识整合将培育更强大的生态系统。随着数位交易的持续成长，企业正在大力投资创新以领先于诈骗。本简报对影响电子商务诈欺侦测和预防领域的市场趋势、转型变化和关键见解进行了深入分析，为决策者和行业专家提供了宝贵的方向。

改变电子商务诈欺检测与预防市场

近年来，发生了一些变革，重新定义了电子商务诈骗生态系统。新技术、日益复杂的攻击方法以及不断变化的监管环境使得局势不断变化。进阶分析与人工智慧和机器学习相结合的应用越来越多，以发现隐藏的模式并预测潜在的诈骗活动。云端基础的平台的出现不仅提高了扩充性，而且还能够快速部署即时监控和检测系统。

行为生物辨识和即时资料流分析等技术创新对于打击诈欺至关重要。同时，企业正在重新评估旧有系统，同时实施能够适应不断变化的威胁的更灵活的解决方案。行动商务和数位钱包的兴起带来了新的漏洞，并推动了对更先进的安全通讯协定的需求。这种背景要求公司投资强大的诈欺情报和战略伙伴关係关係，并利用最佳实践和最尖端科技。对于希望在数位优先的世界中保护其收益并维持消费者信任的企业来说，应对这些变化至关重要。

洞察推动市场动态的关键细分领域

深入研究市场区隔可以发现可以支援诈欺侦测和预防策略决策的关键见解。当考虑基于解决方案的细分时，市场是透过服务和软体的棱镜来分析的。服务部门进一步分为指导策略倡议的咨询服务、确保无缝技术采用的整合服务以及保持系统最佳运作的支援和维护服务。同样，软体部门集中在两个重点：诈欺侦测和诈欺预防，每个重点都针对减轻电子商务诈欺的不同方面。

此外，基于诈欺类型的分析提供了对一系列问题的全面洞察，包括帐户接管、卡片诈骗、友善诈骗、身分盗窃、商家诈骗、网路钓鱼、退款诈骗等。这些分类使企业能够自订其风险管理策略并部署有针对性的解决方案。深入研究基于应用程式的细分可以发现各种各样的功能，包括行为分析、扣回争议帐款管理、诈欺分析、身份验证、支付诈骗侦测和交易监控。此外，按最终用户细分可以实现更细粒度的细分，范围从银行、金融服务和保险到游戏、娱乐、零售、电子商务、旅游和酒店。策略性细分延伸到部署模型的考虑，区分云端基础的解决方案和内部设置，以及组织规模，评估大型企业与中小企业的方法。每个部分都有助于深入了解市场动态，并突出专业解决方案的独特机会。

目录

第一章 引言

第二章调查方法

第三章执行摘要

第四章 市场概述

第五章 市场洞察

  • 市场动态
    • 驱动程式
      • 全球越来越多的消费者选择网路购物
      • 全球范围内高级网路威胁日益增多
      • 监管要求和标准要求电子商务平台采取欺诈检测措施
    • 限制因素
      • 实施先进的诈骗侦测和预防系统高成本
    • 机会
      • 推出基于订阅的电子商务诈骗预防平台，并采用可扩展的定价模式
      • 在去中心化和透明的安全解决方案中采用区块链技术
    • 任务
      • 提高诈骗侦测演算法的准确性，同时最大限度地降低交易中的误报率
  • 市场区隔分析
    • 解决方案：对识别异常和潜在威胁的诈骗侦测工具的需求日益增长。
    • 应用：行为分析对于分析使用者行为模式的重要性日益增加
  • 波特五力分析
  • PESTEL分析
    • 政治的
    • 经济
    • 社会
    • 技术的
    • 合法的
    • 环境

第六章 电子商务诈欺侦测与预防市场（依解决方案）

  • 服务
    • 咨询服务
    • 整合服务
    • 支援和维护服务
  • 软体
    • 诈欺侦测
    • 预防诈欺

7. 电子商务诈欺侦测与预防市场（按诈骗类型）

  • 帐号接管
  • 卡片诈骗
  • 友善诈骗
  • 身分盗窃
  • 商家诈骗
  • 网路钓鱼
  • 退款诈骗

第 8 章电子商务诈欺侦测与预防市场（按应用）

  • 行为分析
  • 扣回争议帐款管理
  • 诈欺分析
  • 身份认证
  • 支付诈骗检测
  • 交易监控

第九章 电子商务诈欺侦测与预防市场（按最终用户）

  • 银行、金融服务和保险
  • 游戏和娱乐
  • 零售与电子商务
  • 旅游与饭店

第 10 章电子商务诈欺侦测与预防市场（依部署模式）

  • 云端基础
  • 本地

第 11 章。电子商务诈欺检测与预防市场（按组织规模）

  • 大型企业
  • 中小型企业

12.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

13. 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

14. 欧洲、中东和非洲电子商务诈欺侦测和预防市场

  • 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

第十五章竞争格局

  • 2024年市场占有率分析
  • 2024年FPNV定位矩阵
  • 竞争情境分析
  • 战略分析与建议

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 57.51 billion in 2024 and is projected to grow to USD 69.12 billion in 2025, with a CAGR of 21.69%, reaching USD 186.82 billion by 2030.

KEY MARKET STATISTICS
Base Year [2024] USD 57.51 billion
Estimated Year [2025] USD 69.12 billion
Forecast Year [2030] USD 186.82 billion
CAGR (%) 21.69%

The current landscape of eCommerce fraud detection and prevention is undergoing a period of rapid innovation, driven by both evolving digital threats and the continuous advancement of technologies. In recent years, the complexity of cybercrime and fraudulent activities has necessitated a robust approach from businesses operating in the digital space. Organizations are increasingly leveraging sophisticated tools and methodologies to detect and mitigate fraud before it inflicts significant financial and reputational damage. This industry is characterized by a relentless push towards embracing artificial intelligence, machine learning, and big data analytics, which together enhance the capability of systems to identify anomalous behavior in real time.

In this dynamic environment, stakeholder collaboration is paramount. Businesses, technology providers, and regulatory bodies work in tandem to create frameworks that proactively address emerging risks. The integration of enhanced analytical tools and cross-industry expertise fosters a more resilient ecosystem. As digital transactions continue to rise, firms are investing heavily in innovation to stay ahead of fraudsters. This overview provides an in-depth analysis of the market trends, transformative shifts, and key insights that are reshaping the eCommerce fraud detection and prevention space, offering valuable direction for decision-makers and industry experts alike.

Transformative Shifts in the eCommerce Fraud Landscape

Recent years have witnessed transformative shifts that are redefining the eCommerce fraud ecosystem. Emerging technologies, increasingly sophisticated attack methods, and an ever-evolving regulatory environment contribute to a landscape that is continuously in flux. Advanced analytics coupled with artificial intelligence and machine learning are increasingly deployed to reveal hidden patterns and anticipate potential fraudulent activities. The advent of cloud-based platforms has not only improved scalability but has also enabled real-time monitoring and faster deployment of detection systems.

Technological innovations, such as behavioral biometrics and real-time data stream analyses, are now pivotal in the fight against fraud. In parallel, businesses are re-evaluating legacy systems while implementing more agile solutions that adapt to evolving threats. The rise of mobile commerce and digital wallets has introduced new vulnerabilities, driving the need for more sophisticated security protocols. In this context, organizations are urged to invest in robust fraud intelligence and strategic partnerships to leverage best practices and cutting-edge technologies. Adeptly navigating these shifts will be essential for companies seeking to protect their revenues and uphold consumer trust in a digital-first world.

Key Segmentation Insights Driving Market Dynamics

Diving deep into market segmentation reveals critical insights that underpin strategic decisions in fraud detection and prevention. When examining segmentation based on solutions, the market is analyzed through the prism of Services and Software. The Services category is further dissected into consulting services that guide strategic initiatives, integration services that ensure seamless technology adoption, and support and maintenance services that keep systems operating optimally. Similarly, the Software segment is concentrated around the dual focal points of fraud detection and fraud prevention, each tailored to mitigate different facets of eCommerce fraud.

Further analysis based on fraud type presents a comprehensive view across various challenges such as account takeover, card fraud, friendly fraud, identity theft, merchant fraud, phishing, and refund fraud. These categories allow businesses to customize their risk management strategies and deploy targeted solutions. Delving into application-based segmentation uncovers diverse functionalities, including behavioral analysis, chargeback management, fraud analytics, identity authentication, payment fraud detection, and transaction monitoring. Moreover, viewing segmentation through the lens of the end user provides additional granularity, with sectors ranging from banking, financial services and insurance to gaming, entertainment, retail, e-commerce, and travel and hospitality. The strategic breakdown extends into deployment modes, distinguishing between cloud-based solutions and on-premise setups, as well as considerations of organizational size, evaluating approaches tailored for large enterprises versus small and medium enterprises. Each segment contributes to a nuanced understanding of market dynamics and highlights unique opportunities for specialized solutions.

Based on Solution, market is studied across Services and Software. The Services is further studied across Consulting Services, Integration Services, and Support & Maintenance Services. The Software is further studied across Fraud Detection and Fraud Prevention.

Based on Fraud Type, market is studied across Account Takeover, Card Fraud, Friendly Fraud, Identity Theft, Merchant Fraud, Phishing, and Refund Fraud.

Based on Application, market is studied across Behavioral Analysis, Chargeback Management, Fraud Analytics, Identity Authentication, Payment Fraud Detection, and Transaction Monitoring.

Based on End User, market is studied across Banking, Financial Services & Insurance, Gaming & Entertainment, Retail & E-Commerce, and Travel & Hospitality.

Based on Deployment Mode, market is studied across Cloud-Based and On-Premise.

Based on Organization Size, market is studied across Large Enterprises and Small & Medium Enterprises.

Regional Insights: Global Trends and Emerging Markets

Regional analysis of eCommerce fraud detection and prevention unravels significant disparities and opportunities across global markets. In the Americas, market maturity coupled with high digital transaction volumes drives demand for increasingly sophisticated fraud prevention tools. Businesses in this region continue to invest in state-of-the-art technologies and analytics, reflecting the imperative of maintaining consumer trust in a highly competitive space.

Across Europe, the Middle East, and Africa, regulatory mandates and heightened data protection standards impose additional layers of complexity, yet they also spur innovation. Firms are not only adapting to stringent compliance requirements but are also exploiting technological advancements to enhance detection capabilities. Meanwhile, the Asia-Pacific region presents a landscape characterized by rapid technological adoption and a surging number of digital transactions. This confluence of growth and innovation has created fertile ground for the deployment of next-generation fraud analytics, with companies continuously innovating to counter diverse fraud scenarios. The differences in regional maturity, regulatory pressure, and consumer behavior drive specific market characteristics that are essential for companies to consider when devising localized strategies.

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.

Leading Companies Shaping the eCommerce Fraud Arena

The competitive environment of eCommerce fraud detection and prevention is marked by the active participation of several industry leaders. Dominant market players include ACI Worldwide, Inc. and Blackhawk Network Holdings, Inc., whose innovative futures set the pace for industry best practices. Industry disruptors such as Bolt Financial, Inc. and Chargeflow, Inc. have carved a niche with their agile approaches to fraud analytics and real-time transaction monitoring. The market also benefits from the contributions of ClearSale LLC, DXC Technology Company, and Ekata, all of which play pivotal roles in integrating complex data streams and enhancing identity verification processes.

Furthermore, key organizations such as Equifax Inc., F5, Inc., and Fiserv, Inc. leverage their extensive experience in data security to offer robust solutions catering to diverse fraud scenarios. Forter, Ltd. and Fraud.com, along with Fraud.net Inc., have established themselves as formidable contenders by focusing on dynamic detection methodologies. Other notable companies including Hexasoft Development Sdn. Bhd., Infosys Limited, and International Business Machines Corporation push the envelope on technological innovation. LexisNexis Risk Solutions Group and Lyra Network Private Limited, as well as MarkMonitor Inc. and NortonLifeLock Inc., all contribute unique insights and capabilities to the market. PayPal Holdings, Inc., Radial, Inc., Riskified, Ltd., and RSA Security LLC further solidify the industry's foundation through comprehensive risk analysis, while SEON Technologies Ltd., SHIELD AI Technologies Pte. Ltd., Sift Science, Inc., Signifyd Inc., Software AG, Stripe, Inc., Subuno, and TransUnion LLC continue to influence market trends through pioneering solutions and data-driven strategies.

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. Actionable Recommendations for Industry Leaders

Industry leaders must adopt a proactive approach to safeguard their operations in the rapidly evolving landscape of eCommerce fraud. It is essential that organizations enhance their investment in cutting-edge technologies, particularly those that harness the power of artificial intelligence and machine learning. By adopting these technologies, companies can accelerate the detection of anomalous transactions and enable real-time fraud assessment. Furthermore, leveraging advanced analytics to create dynamic risk models will facilitate more precise fraud prediction and prevention strategies.

In addition to technological upgrades, firms should cultivate a culture that emphasizes continuous learning and adaptive strategies. This includes regular training for staff to stay updated with industry best practices and emerging threats. Building robust partnerships with technology innovators and engaging with cross-industry alliances is also crucial. Such collaborations allow for the exchange of intelligence on emerging fraud trends and the development of standardized protocols to mitigate risk. Leaders are also advised to focus on scalability and integration of systems, ensuring that new solutions can be seamlessly incorporated into existing frameworks. Overall, a forward-thinking strategy that balances technology, collaboration, and agility is key to outperforming competitors and maintaining a secure, trust-centric environment for customers.

Conclusion: Synthesizing Key Insights

The exploration of eCommerce fraud detection and prevention reveals a market that is as dynamic as it is essential. Through an extensive analysis that spans technological innovations, detailed segmentation, regional trends, and competitive strategies, it becomes clear that the market is on a continual quest for enhanced security and efficiency. The industry's evolution is marked by transformative shifts that demand not only investment in advanced analytics but also a commitment to regulatory compliance and strategic foresight.

In synthesizing these insights, it is evident that the ability to tailor solutions that address specific fraud scenarios is paramount. Whether the focus is on upgrading software for precise fraud detection, refining integration services, or scaling support systems to meet diverse organizational needs, every aspect of the ecosystem plays a critical role. The regional variations in market maturity, coupled with the strategies employed by leading companies, underscore the need for a localized yet holistic approach. In this way, the overarching narrative is one of resilience, adaptability, and relentless innovation in the face of evolving digital threats.

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. Rising consumer preference for online shopping worldwide
      • 5.1.1.2. Increasing prevalence of sophisticated cyber threats globally
      • 5.1.1.3. Regulatory requirements and standards mandating fraud detection measures across eCommerce platforms
    • 5.1.2. Restraints
      • 5.1.2.1. High costs associated with implementing advanced fraud detection and prevention systems
    • 5.1.3. Opportunities
      • 5.1.3.1. Introduction of subscription-based e-commerce fraud prevention platforms with scalable pricing models
      • 5.1.3.2. Adoption of blockchain technology in decentralized and transparent security solutions
    • 5.1.4. Challenges
      • 5.1.4.1. Enhancing accuracy of fraud detection algorithms while minimizing false positive rates in transactions
  • 5.2. Market Segmentation Analysis
    • 5.2.1. Solution: Rising preference for fraud detection tools to identify anomalies and potential threats
    • 5.2.2. Application: Increasing significance of behavioral analysis for analyzing user behavior patterns
  • 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

6. eCommerce Fraud Detection & Prevention Market, by Solution

  • 6.1. Introduction
  • 6.2. Services
    • 6.2.1. Consulting Services
    • 6.2.2. Integration Services
    • 6.2.3. Support & Maintenance Services
  • 6.3. Software
    • 6.3.1. Fraud Detection
    • 6.3.2. Fraud Prevention

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

  • 7.1. Introduction
  • 7.2. Account Takeover
  • 7.3. Card Fraud
  • 7.4. Friendly Fraud
  • 7.5. Identity Theft
  • 7.6. Merchant Fraud
  • 7.7. Phishing
  • 7.8. Refund Fraud

8. eCommerce Fraud Detection & Prevention Market, by Application

  • 8.1. Introduction
  • 8.2. Behavioral Analysis
  • 8.3. Chargeback Management
  • 8.4. Fraud Analytics
  • 8.5. Identity Authentication
  • 8.6. Payment Fraud Detection
  • 8.7. Transaction Monitoring

9. eCommerce Fraud Detection & Prevention Market, by End User

  • 9.1. Introduction
  • 9.2. Banking, Financial Services & Insurance
  • 9.3. Gaming & Entertainment
  • 9.4. Retail & E-Commerce
  • 9.5. Travel & Hospitality

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

  • 10.1. Introduction
  • 10.2. Cloud-Based
  • 10.3. On-Premise

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

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

12. Americas eCommerce Fraud Detection & Prevention Market

  • 12.1. Introduction
  • 12.2. Argentina
  • 12.3. Brazil
  • 12.4. Canada
  • 12.5. Mexico
  • 12.6. United States

13. Asia-Pacific eCommerce Fraud Detection & Prevention Market

  • 13.1. Introduction
  • 13.2. Australia
  • 13.3. China
  • 13.4. India
  • 13.5. Indonesia
  • 13.6. Japan
  • 13.7. Malaysia
  • 13.8. Philippines
  • 13.9. Singapore
  • 13.10. South Korea
  • 13.11. Taiwan
  • 13.12. Thailand
  • 13.13. Vietnam

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

  • 14.1. Introduction
  • 14.2. Denmark
  • 14.3. Egypt
  • 14.4. Finland
  • 14.5. France
  • 14.6. Germany
  • 14.7. Israel
  • 14.8. Italy
  • 14.9. Netherlands
  • 14.10. Nigeria
  • 14.11. Norway
  • 14.12. Poland
  • 14.13. Qatar
  • 14.14. Russia
  • 14.15. Saudi Arabia
  • 14.16. South Africa
  • 14.17. Spain
  • 14.18. Sweden
  • 14.19. Switzerland
  • 14.20. Turkey
  • 14.21. United Arab Emirates
  • 14.22. United Kingdom

15. Competitive Landscape

  • 15.1. Market Share Analysis, 2024
  • 15.2. FPNV Positioning Matrix, 2024
  • 15.3. Competitive Scenario Analysis
    • 15.3.1. Bureau raises USD 30 million in series B funding to advance AI-powered eCommerce fraud prevention solutions
    • 15.3.2. ClearSale introduced a new product suite preventative Intel
    • 15.3.3. Mangopay's AI-powered solution spearheads the fight against eCommerce fraud with real-time detection and secure integration
    • 15.3.4. Visa leverages AI innovations to bolster eCommerce fraud detection and prevention, enhancing transactional security
    • 15.3.5. Global collaboration between Equifax and VTEX strengthens ecommerce fraud protection with advanced AI solutions
    • 15.3.6. Namaste Credit Partners with Microsoft Azure to Launch Proprietary Fraud Detection Capabilities
    • 15.3.7. CellPoint Digital and Riskified Partner to Enhance Fraud Protection for Airlines and Travel Merchants with Industry-Leading Payments Solution
    • 15.3.8. Chargeflow, Which Taps AI to Fight Chargebacks, Raises USD 14 Million
    • 15.3.9. Mastercard and Vesta Partner To Deliver Enhanced Digital Fraud Detection Solutions For Asia Pacific
  • 15.4. Strategy Analysis & Recommendation
    • 15.4.1. 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 MULTI-CURRENCY
  • FIGURE 2. ECOMMERCE FRAUD DETECTION & PREVENTION MARKET MULTI-LANGUAGE
  • FIGURE 3. ECOMMERCE FRAUD DETECTION & PREVENTION MARKET RESEARCH PROCESS
  • FIGURE 4. ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, 2024 VS 2030
  • FIGURE 5. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, 2018-2030 (USD MILLION)
  • FIGURE 6. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY REGION, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 7. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 8. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SOLUTION, 2024 VS 2030 (%)
  • FIGURE 9. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SOLUTION, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 10. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2024 VS 2030 (%)
  • FIGURE 11. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 12. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY APPLICATION, 2024 VS 2030 (%)
  • FIGURE 13. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY APPLICATION, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 14. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY END USER, 2024 VS 2030 (%)
  • FIGURE 15. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY END USER, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 16. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT MODE, 2024 VS 2030 (%)
  • FIGURE 17. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT MODE, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 18. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2024 VS 2030 (%)
  • FIGURE 19. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 20. AMERICAS ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY COUNTRY, 2024 VS 2030 (%)
  • FIGURE 21. AMERICAS ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 22. UNITED STATES ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY STATE, 2024 VS 2030 (%)
  • FIGURE 23. UNITED STATES ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY STATE, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 24. ASIA-PACIFIC ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY COUNTRY, 2024 VS 2030 (%)
  • FIGURE 25. ASIA-PACIFIC ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 26. EUROPE, MIDDLE EAST & AFRICA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY COUNTRY, 2024 VS 2030 (%)
  • FIGURE 27. EUROPE, MIDDLE EAST & AFRICA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 28. ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SHARE, BY KEY PLAYER, 2024
  • FIGURE 29. 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, 2018-2030 (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 SOLUTION, 2018-2030 (USD MILLION)
  • TABLE 8. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SERVICES, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 9. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY CONSULTING SERVICES, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 10. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY INTEGRATION SERVICES, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 11. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SUPPORT & MAINTENANCE SERVICES, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 12. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 13. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SOFTWARE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 14. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD DETECTION, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 15. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD PREVENTION, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 16. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 17. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2018-2030 (USD MILLION)
  • TABLE 18. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ACCOUNT TAKEOVER, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 19. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY CARD FRAUD, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 20. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRIENDLY FRAUD, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 21. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY IDENTITY THEFT, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 22. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY MERCHANT FRAUD, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 23. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY PHISHING, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 24. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY REFUND FRAUD, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 25. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 26. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY BEHAVIORAL ANALYSIS, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 27. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY CHARGEBACK MANAGEMENT, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 28. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD ANALYTICS, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 29. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY IDENTITY AUTHENTICATION, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 30. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY PAYMENT FRAUD DETECTION, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 31. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY TRANSACTION MONITORING, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 32. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 33. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY BANKING, FINANCIAL SERVICES & INSURANCE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 34. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY GAMING & ENTERTAINMENT, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 35. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY RETAIL & E-COMMERCE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 36. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY TRAVEL & HOSPITALITY, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 37. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 38. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY CLOUD-BASED, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 39. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ON-PREMISE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 40. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 41. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY LARGE ENTERPRISES, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 42. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SMALL & MEDIUM ENTERPRISES, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 43. AMERICAS ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SOLUTION, 2018-2030 (USD MILLION)
  • TABLE 44. AMERICAS ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 45. AMERICAS ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 46. AMERICAS ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2018-2030 (USD MILLION)
  • TABLE 47. AMERICAS ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 48. AMERICAS ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 49. AMERICAS ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 50. AMERICAS ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 51. AMERICAS ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 52. ARGENTINA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SOLUTION, 2018-2030 (USD MILLION)
  • TABLE 53. ARGENTINA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 54. ARGENTINA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 55. ARGENTINA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2018-2030 (USD MILLION)
  • TABLE 56. ARGENTINA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 57. ARGENTINA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 58. ARGENTINA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 59. ARGENTINA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 60. BRAZIL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SOLUTION, 2018-2030 (USD MILLION)
  • TABLE 61. BRAZIL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 62. BRAZIL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 63. BRAZIL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2018-2030 (USD MILLION)
  • TABLE 64. BRAZIL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 65. BRAZIL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 66. BRAZIL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 67. BRAZIL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 68. CANADA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SOLUTION, 2018-2030 (USD MILLION)
  • TABLE 69. CANADA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 70. CANADA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 71. CANADA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2018-2030 (USD MILLION)
  • TABLE 72. CANADA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 73. CANADA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 74. CANADA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 75. CANADA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 76. MEXICO ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SOLUTION, 2018-2030 (USD MILLION)
  • TABLE 77. MEXICO ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 78. MEXICO ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 79. MEXICO ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2018-2030 (USD MILLION)
  • TABLE 80. MEXICO ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 81. MEXICO ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 82. MEXICO ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 83. MEXICO ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 84. UNITED STATES ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SOLUTION, 2018-2030 (USD MILLION)
  • TABLE 85. UNITED STATES ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 86. UNITED STATES ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 87. UNITED STATES ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2018-2030 (USD MILLION)
  • TABLE 88. UNITED STATES ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 89. UNITED STATES ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 90. UNITED STATES ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 91. UNITED STATES ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 92. UNITED STATES ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY STATE, 2018-2030 (USD MILLION)
  • TABLE 93. ASIA-PACIFIC ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SOLUTION, 2018-2030 (USD MILLION)
  • TABLE 94. ASIA-PACIFIC ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 95. ASIA-PACIFIC ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 96. ASIA-PACIFIC ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2018-2030 (USD MILLION)
  • TABLE 97. ASIA-PACIFIC ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 98. ASIA-PACIFIC ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 99. ASIA-PACIFIC ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 100. ASIA-PACIFIC ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 101. ASIA-PACIFIC ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 102. AUSTRALIA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SOLUTION, 2018-2030 (USD MILLION)
  • TABLE 103. AUSTRALIA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 104. AUSTRALIA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 105. AUSTRALIA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2018-2030 (USD MILLION)
  • TABLE 106. AUSTRALIA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 107. AUSTRALIA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 108. AUSTRALIA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 109. AUSTRALIA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 110. CHINA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SOLUTION, 2018-2030 (USD MILLION)
  • TABLE 111. CHINA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 112. CHINA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 113. CHINA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2018-2030 (USD MILLION)
  • TABLE 114. CHINA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 115. CHINA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 116. CHINA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 117. CHINA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 118. INDIA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SOLUTION, 2018-2030 (USD MILLION)
  • TABLE 119. INDIA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 120. INDIA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 121. INDIA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2018-2030 (USD MILLION)
  • TABLE 122. INDIA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 123. INDIA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 124. INDIA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 125. INDIA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 126. INDONESIA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SOLUTION, 2018-2030 (USD MILLION)
  • TABLE 127. INDONESIA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 128. INDONESIA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 129. INDONESIA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2018-2030 (USD MILLION)
  • TABLE 130. INDONESIA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 131. INDONESIA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 132. INDONESIA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 133. INDONESIA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 134. JAPAN ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SOLUTION, 2018-2030 (USD MILLION)
  • TABLE 135. JAPAN ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 136. JAPAN ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 137. JAPAN ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2018-2030 (USD MILLION)
  • TABLE 138. JAPAN ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 139. JAPAN ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 140. JAPAN ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 141. JAPAN ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 142. MALAYSIA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SOLUTION, 2018-2030 (USD MILLION)
  • TABLE 143. MALAYSIA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 144. MALAYSIA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 145. MALAYSIA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2018-2030 (USD MILLION)
  • TABLE 146. MALAYSIA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 147. MALAYSIA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 148. MALAYSIA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 149. MALAYSIA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 150. PHILIPPINES ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SOLUTION, 2018-2030 (USD MILLION)
  • TABLE 151. PHILIPPINES ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 152. PHILIPPINES ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 153. PHILIPPINES ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2018-2030 (USD MILLION)
  • TABLE 154. PHILIPPINES ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 155. PHILIPPINES ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 156. PHILIPPINES ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 157. PHILIPPINES ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 158. SINGAPORE ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SOLUTION, 2018-2030 (USD MILLION)
  • TABLE 159. SINGAPORE ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 160. SINGAPORE ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 161. SINGAPORE ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2018-2030 (USD MILLION)
  • TABLE 162. SINGAPORE ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 163. SINGAPORE ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 164. SINGAPORE ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 165. SINGAPORE ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 166. SOUTH KOREA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SOLUTION, 2018-2030 (USD MILLION)
  • TABLE 167. SOUTH KOREA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 168. SOUTH KOREA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 169. SOUTH KOREA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2018-2030 (USD MILLION)
  • TABLE 170. SOUTH KOREA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 171. SOUTH KOREA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 172. SOUTH KOREA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 173. SOUTH KOREA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 174. TAIWAN ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SOLUTION, 2018-2030 (USD MILLION)
  • TABLE 175. TAIWAN ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 176. TAIWAN ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 177. TAIWAN ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2018-2030 (USD MILLION)
  • TABLE 178. TAIWAN ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 179. TAIWAN ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 180. TAIWAN ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 181. TAIWAN ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 182. THAILAND ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SOLUTION, 2018-2030 (USD MILLION)
  • TABLE 183. THAILAND ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 184. THAILAND ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 185. THAILAND ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2018-2030 (USD MILLION)
  • TABLE 186. THAILAND ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 187. THAILAND ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 188. THAILAND ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 189. THAILAND ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 190. VIETNAM ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SOLUTION, 2018-2030 (USD MILLION)
  • TABLE 191. VIETNAM ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 192. VIETNAM ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 193. VIETNAM ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2018-2030 (USD MILLION)
  • TABLE 194. VIETNAM ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 195. VIETNAM ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 196. VIETNAM ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 197. VIETNAM ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 198. EUROPE, MIDDLE EAST & AFRICA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SOLUTION, 2018-2030 (USD MILLION)
  • TABLE 199. EUROPE, MIDDLE EAST & AFRICA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 200. EUROPE, MIDDLE EAST & AFRICA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 201. EUROPE, MIDDLE EAST & AFRICA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2018-2030 (USD MILLION)
  • TABLE 202. EUROPE, MIDDLE EAST & AFRICA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 203. EUROPE, MIDDLE EAST & AFRICA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 204. EUROPE, MIDDLE EAST & AFRICA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 205. EUROPE, MIDDLE EAST & AFRICA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 206. EUROPE, MIDDLE EAST & AFRICA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 207. DENMARK ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SOLUTION, 2018-2030 (USD MILLION)
  • TABLE 208. DENMARK ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 209. DENMARK ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 210. DENMARK ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2018-2030 (USD MILLION)
  • TABLE 211. DENMARK ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 212. DENMARK ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 213. DENMARK ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 214. DENMARK ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 215. EGYPT ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SOLUTION, 2018-2030 (USD MILLION)
  • TABLE 216. EGYPT ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 217. EGYPT ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 218. EGYPT ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2018-2030 (USD MILLION)
  • TABLE 219. EGYPT ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 220. EGYPT ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 221. EGYPT ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 222. EGYPT ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 223. FINLAND ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SOLUTION, 2018-2030 (USD MILLION)
  • TABLE 224. FINLAND ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 225. FINLAND ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 226. FINLAND ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2018-2030 (USD MILLION)
  • TABLE 227. FINLAND ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 228. FINLAND ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 229. FINLAND ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 230. FINLAND ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 231. FRANCE ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SOLUTION, 2018-2030 (USD MILLION)
  • TABLE 232. FRANCE ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 233. FRANCE ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 234. FRANCE ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2018-2030 (USD MILLION)
  • TABLE 235. FRANCE ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 236. FRANCE ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 237. FRANCE ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 238. FRANCE ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 239. GERMANY ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SOLUTION, 2018-2030 (USD MILLION)
  • TABLE 240. GERMANY ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 241. GERMANY ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 242. GERMANY ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2018-2030 (USD MILLION)
  • TABLE 243. GERMANY ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 244. GERMANY ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 245. GERMANY ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 246. GERMANY ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 247. ISRAEL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SOLUTION, 2018-2030 (USD MILLION)
  • TABLE 248. ISRAEL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 249. ISRAEL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 250. ISRAEL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2018-2030 (USD MILLION)
  • TABLE 251. ISRAEL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 252. ISRAEL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 253. ISRAEL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 254. ISRAEL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 255. ITALY ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SOLUTION, 2018-2030 (USD MILLION)
  • TABLE 256. ITALY ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 257. ITALY ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 258. ITALY ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2018-2030 (USD MILLION)
  • TABLE 259. ITALY ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 260. ITALY ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 261. ITALY ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 262. ITALY ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 263. NETHERLANDS ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SOLUTION, 2018-2030 (USD MILLION)
  • TABLE 264. NETHERLANDS ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 265. NETHERLANDS ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 266. NETHERLANDS ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2018-2030 (USD MILLION)
  • TABLE 267. NETHERLANDS ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 268. NETHERLANDS ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 269. NETHERLANDS ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 270. NETHERLANDS ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 271. NIGERIA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SOLUTION, 2018-2030 (USD MILLION)
  • TABLE 272. NIGERIA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 273. NIGERIA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 274. NIGERIA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2018-2030 (USD MILLION)
  • TABLE 275. NIGERIA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 276. NIGERIA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 277. NIGERIA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 278. NIGERIA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 279. NORWAY ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SOLUTION, 2018-2030 (USD MILLION)
  • TABLE 280. NORWAY ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 281. NORWAY ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 282. NORWAY ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2018-2030 (USD MILLION)
  • TABLE 283. NORWAY ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 284. NORWAY ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 285. NORWAY ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 286. NORWAY ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 287. POLAND ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SOLUTION, 2018-2030 (USD MILLION)
  • TABLE 288. POLAND ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 289. POLAND ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 290. POLAND ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2018-2030 (USD MILLION)
  • TABLE 291. POLAND ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 292. POLAND ECOMMERCE FRAUD DETECTION & PREVENTION MARKET