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1714739

電子商務詐欺偵測與預防市場：2025-2030 年全球預測（按解決方案、詐欺類型、應用、最終用戶、部署類型和組織規模）

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個工作天內

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預計到 2024 年電子商務詐欺偵測和預防市場價值將達到 575.1 億美元，到 2025 年將成長至 691.2 億美元，複合年成長率為 21.69%，到 2030 年將達到 1868.2 億美元。

主要市場統計數據
基準年2024年 575.1億美元
預計2025年 691.2億美元
預測年份 2030 1868.2億美元
複合年成長率（%） 21.69%

由於數位威脅不斷演變和技術不斷進步，電子商務詐欺偵測和預防狀況正在經歷快速創新。近年來，網路犯罪和詐欺的複雜性意味著在數位空間中運作的企業需要採取強力的方法。組織擴大利用複雜的工具和技術來偵測和減輕詐欺行為，以免其造成重大的財務和聲譽損失。該行業的特點是不斷推動人工智慧、機器學習和巨量資料分析的應用，這些技術正在增強系統即時識別異常行為的能力。

在這種動態環境中，相關人員的合作至關重要。企業、技術提供者和監管機構正在共同努力製定一個框架，以主動應對新出現的風險。增強的分析工具和跨產業專業知識整合將培育更強大的生態系統。隨著數位交易的持續成長，企業正在大力投資創新以領先於詐騙。本簡報對影響電子商務詐欺偵測和預防領域的市場趨勢、轉型變化和關鍵見解進行了深入分析，為決策者和行業專家提供了寶貴的方向。

改變電子商務詐欺檢測與預防市場

近年來，發生了一些變革，重新定義了電子商務詐騙生態系統。新技術、日益複雜的攻擊方法以及不斷變化的監管環境使得局勢不斷變化。進階分析與人工智慧和機器學習相結合的應用越來越多，以發現隱藏的模式並預測潛在的詐騙活動。雲端基礎的平台的出現不僅提高了擴充性，而且還能夠快速部署即時監控和檢測系統。

行為生物辨識和即時資料流分析等技術創新對於打擊詐欺至關重要。同時，企業正在重新評估舊有系統，同時實施能夠適應不斷變化的威脅的更靈活的解決方案。行動商務和數位錢包的興起帶來了新的漏洞，並推動了對更先進的安全通訊協定的需求。這種背景要求公司投資強大的詐欺情報和戰略夥伴關係關係，並利用最佳實踐和最尖端科技。對於希望在數位優先的世界中保護其收益並維持消費者信任的企業來說，應對這些變化至關重要。

洞察推動市場動態的關鍵細分領域

深入研究市場區隔可以發現可以支援詐欺偵測和預防策略決策的關鍵見解。當考慮基於解決方案的細分時，市場是透過服務和軟體的棱鏡來分析的。服務部門進一步分為指導策略舉措的諮詢服務、確保無縫技術採用的整合服務以及保持系統最佳運作的支援和維護服務。同樣，軟體部門集中在兩個重點：詐欺偵測和詐欺預防，每個重點都針對減輕電子商務詐欺的不同方面。

此外，基於詐欺類型的分析提供了對一系列問題的全面洞察，包括帳戶接管、卡片詐騙、友善詐騙、身分盜竊、商家詐騙、網路釣魚、退款詐騙等。這些分類使企業能夠自訂其風險管理策略並部署有針對性的解決方案。深入研究基於應用程式的細分可以發現各種各樣的功能，包括行為分析、扣回爭議帳款管理、詐欺分析、身份驗證、支付詐騙偵測和交易監控。此外，按最終用戶細分可以實現更細粒度的細分，範圍從銀行、金融服務和保險到遊戲、娛樂、零售、電子商務、旅遊和酒店。策略性細分延伸到部署模型的考慮，區分雲端基礎的解決方案和內部設置，以及組織規模，評估大型企業與中小企業的方法。每個部分都有助於深入了解市場動態，並突出專業解決方案的獨特機會。

目錄

第1章 引言

第2章調查方法

第3章執行摘要

第4章 市場概述

第5章 市場洞察

  • 市場動態
    • 驅動程式
      • 全球越來越多的消費者選擇網路購物
      • 全球範圍內高級網路威脅日益增多
      • 監管要求和標準要求電子商務平台採取欺詐檢測措施
    • 限制因素
      • 實施先進的詐騙偵測和預防系統高成本
    • 機會
      • 推出基於訂閱的電子商務詐騙預防平台，並採用可擴展的定價模式
      • 在去中心化和透明的安全解決方案中採用區塊鏈技術
    • 任務
      • 提高詐騙偵測演算法的準確性，同時最大限度地降低交易中的誤報率
  • 市場區隔分析
    • 解決方案：對識別異常和潛在威脅的詐騙偵測工具的需求日益成長。
    • 應用：行為分析對於分析使用者行為模式的重要性日益增加
  • 波特五力分析
  • PESTEL分析
    • 政治的
    • 經濟
    • 社會
    • 技術的
    • 合法的
    • 環境

第6章 電子商務詐欺偵測與預防市場（依解決方案）

  • 服務
    • 諮詢服務
    • 整合服務
    • 支援和維護服務
  • 軟體
    • 詐欺偵測
    • 預防詐欺

7. 電子商務詐欺偵測與預防市場（按詐騙類型）

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

第 8 章電子商務詐欺偵測與預防市場（按應用）

  • 行為分析
  • 扣回爭議帳款管理
  • 詐欺分析
  • 身份認證
  • 支付詐騙檢測
  • 交易監控

第9章 電子商務詐欺偵測與預防市場（按最終用戶）

  • 銀行、金融服務和保險
  • 遊戲和娛樂
  • 零售與電子商務
  • 旅遊與飯店

第 10 章電子商務詐欺偵測與預防市場（依部署模式）

  • 雲端基礎
  • 本地

第 11 章。電子商務詐欺檢測與預防市場（按組織規模）

  • 大型企業
  • 中小型企業

12.美洲電子商務詐欺偵測與預防市場

  • 阿根廷
  • 巴西
  • 加拿大
  • 墨西哥
  • 美國

13. 亞太電子商務詐欺偵測與預防市場

  • 澳洲
  • 中國
  • 印度
  • 印尼
  • 日本
  • 馬來西亞
  • 菲律賓
  • 新加坡
  • 韓國
  • 台灣
  • 泰國
  • 越南

14. 歐洲、中東和非洲電子商務詐欺偵測和預防市場

  • 丹麥
  • 埃及
  • 芬蘭
  • 法國
  • 德國
  • 以色列
  • 義大利
  • 荷蘭
  • 奈及利亞
  • 挪威
  • 波蘭
  • 卡達
  • 俄羅斯
  • 沙烏地阿拉伯
  • 南非
  • 西班牙
  • 瑞典
  • 瑞士
  • 土耳其
  • 阿拉伯聯合大公國
  • 英國

第15章競爭格局

  • 2024年市場佔有率分析
  • 2024年FPNV定位矩陣
  • 競爭情境分析
  • 戰略分析與建議

公司名單

  • 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