查看購物車
  • Simplified Chinese
  • English
  • Japanese
封面
市場調查報告書
商品編碼
1602269

電子商務詐欺偵測和預防市場：按詐欺類型、組織規模、行業和部署分類 - 2025-2030 年全球預測

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

價格

※ 本網頁內容可能與最新版本有所差異。詳細情況請與我們聯繫。

2023年，電子商務詐欺檢測和預防市場價值為479.3億美元，預計到2024年將達到575.1億美元，複合年成長率為21.45%，到2030年將達到1868.2億美元，預計將達到1000萬美元。

電子商務詐欺偵測和預防包括識別、減輕和預防線上交易中的詐欺活動的各種技術和策略。這一領域至關重要，因為電子商務詐騙的興起和複雜性威脅著企業的財務生存能力和消費者的安全。有效的詐欺偵測的需求是保護敏感的消費者資料、維護商業信譽並避免財務損失。應用程式涵蓋零售、銀行和金融科技等多個領域，並使用機器學習、人工智慧和行為分析等工具來識別可疑活動。最終用途範圍針對尋求強大解決方案來保護其交易的大型和小型企業。

主要市場統計
基準年[2023] 479.3億美元
預測年份 [2024] 575.1億美元
預測年份 [2030] 1868.2億美元
複合年成長率（%） 21.45%

影響該市場的關鍵成長要素包括電子商務的激增、數位付款的使用不斷增加，以及由於人工智慧和機器學習的進步而增強的預測分析能力。隨著電子商務在全球範圍內不斷擴張，特別是在新興市場，潛在的機會在於針對特定區域的解決方案和區塊鏈的整合以增強安全性。透過投資人工智慧驅動的詐欺防制平台，公司可以專注於即時分析，以領先不斷發展的詐欺技術。然而，也存在威脅靜態反詐騙措施有效性的局限性，例如複雜技術的適應和詐騙技術的不斷演變。

主要挑戰包括確保適當的隱私控制以及克服可能趕走合法客戶的誤報困境。研發和創新可以專注於開發自適應學習模型，隨著時間的推移不斷發展和改進，以更準確地預測詐欺，同時最大限度地減少誤報。公司之間共用資料還可以在不損害競爭優勢的情況下提高詐欺情報。在不斷的技術進步和監管變化的推動下，這個市場的本質是高度動態和競爭的。在預防詐欺方面優先考慮創新、用戶體驗和隱私的公司可能會保持競爭優勢。

市場動態：揭示快速發展的電子商務詐欺檢測和預防市場的關鍵市場洞察

供需的動態交互作用正在改變電子商務詐欺檢測和預防市場。了解這些不斷變化的市場動態可以幫助企業做出明智的投資決策、策略決策並抓住新的商機。全面了解這些趨勢可以幫助企業降低政治、地理、技術、社會和經濟領域的風險，同時消費行為及其對製造成本的影響以及對採購趨勢的影響。

  • 市場促進因素
    • 身份盜竊和詐騙行為增加
    • 增加電子商務平台上的客戶群和交易
  • 市場限制因素
    • 經過培訓的安全專業人員的意識和可用性有限
  • 市場機會
    • 線上業務的出現和中小企業安全解決方案的採用
    • 先進的電子商務詐騙檢測系統簡介
  • 市場挑戰
    • 詐欺的複雜性

波特五力：駕馭電子商務詐欺偵測與預防市場的策略工具

波特的五力框架是了解市場競爭格局的重要工具。波特的五力框架為評估公司的競爭地位和探索策略機會提供了清晰的方法。該框架可幫助公司評估市場動態並確定新業務的盈利。這些見解使公司能夠利用自己的優勢、解決弱點並避免潛在的挑戰，以確保更強大的市場地位。

PESTLE分析：了解電子商務詐欺檢測和預防市場的外部影響

外部宏觀環境因素在塑造電子商務詐欺偵測和預防市場的績效動態方面發揮著至關重要的作用。對政治、經濟、社會、技術、法律和環境因素的分析提供了應對這些影響所需的資訊。透過調查 PESTLE 因素，公司可以更了解潛在的風險和機會。這種分析可以幫助公司預測法規、消費者偏好和經濟趨勢的變化，並為他們做出積極主動的決策做好準備。

市場佔有率分析 了解電子商務詐欺偵測和預防市場的競爭格局

電子商務詐欺檢測和預防市場的詳細市場佔有率分析提供了對供應商績效的全面評估。公司可以透過比較收益、客戶群和成長率等關鍵指標來揭示其競爭地位。該分析揭示了市場集中、分散和整合的趨勢，為供應商提供了製定策略決策所需的洞察力，使他們能夠在日益激烈的競爭中佔有一席之地。

FPNV 定位矩陣供應商在電子商務詐欺偵測與預防市場的績效評估

FPNV定位矩陣是評估電子商務詐欺偵測和預防市場供應商的重要工具。此矩陣允許業務組織根據供應商的商務策略和產品滿意度評估供應商，從而做出符合其目標的明智決策。這四個象限使您能夠清晰、準確地分類供應商，並確定最能滿足您的策略目標的合作夥伴和解決方案。

策略分析和建議，規劃電子商務詐欺檢測和預防市場的成功之路

對於希望加強在全球市場的影響力的公司來說，對電子商務詐欺檢測和預防市場進行策略分析至關重要。透過審查關鍵資源、能力和績效指標，公司可以識別成長機會並努力改進。這種方法使您能夠克服競爭環境中的挑戰，利用新的商機，並取得長期成功。

本報告對市場進行了全面分析，涵蓋關鍵重點領域：

1. 市場滲透率：對當前市場環境的詳細審查、主要企業的廣泛資料、對其在市場中的影響力和整體影響力的評估。

2. 市場開拓：辨識新興市場的成長機會，評估現有領域的擴張潛力，並提供未來成長的策略藍圖。

3. 市場多元化：分析近期產品發布、開拓地區、關鍵產業進展、塑造市場的策略投資。

4. 競爭評估與情報：徹底分析競爭格局，檢驗市場佔有率、業務策略、產品系列、認證、監理核准、專利趨勢、主要企業的技術進步等。

5. 產品開發與創新：重點在於有望推動未來市場成長的最尖端科技、研發活動和產品創新。

我們也回答重要問題，以幫助相關人員做出明智的決策：

1.目前的市場規模和未來的成長預測是多少？

2. 哪些產品、區隔市場和地區提供最佳投資機會？

3.塑造市場的主要技術趨勢和監管影響是什麼？

4.主要廠商的市場佔有率和競爭地位如何？

5. 推動供應商市場進入和退出策略的收益來源和策略機會是什麼？

目錄

第1章 前言

第2章調查方法

第3章執行摘要

第4章市場概況

第5章市場洞察

  • 市場動態
    • 促進因素
      • 身份竊盜和商家詐騙的增加
      • 電子商務平台上的基本客群和交易量增加
    • 抑制因素
      • 熟練的安全專業人員的意識和存在有限
    • 機會
      • 中小企業線上業務的出現和安全解決方案的引入
      • 先進的電子商務詐騙偵測系統簡介
    • 任務
      • 詐騙的複雜性日益增加
  • 市場區隔分析
    • 詐騙類型：隨著電子商務購買量的增加，網路釣魚和身分盜竊呈上升趨勢。
    • 組織類型：大型企業需要全面的電子商務詐騙偵測計劃
    • 產業：銀行和零售業對進階詐騙偵測和預防的需求正在激增。
    • 採用：雲端基礎的電子商務詐騙檢測和預防越來越受歡迎，因為它提供了更高的靈活性和擴充性。
  • 波特五力分析
  • PESTEL分析
    • 政治的
    • 經濟
    • 社群
    • 技術的
    • 合法地
    • 環境
  • 客戶客製化

第6章 電子商務詐欺按市場詐騙類型的檢測與防範

  • 卡測試
  • 卡片詐騙
  • 友善的詐騙
  • 身分盜竊
  • 商家詐騙
  • 網路釣魚
  • 退款詐騙

第7章電子商務詐欺偵測與預防市場：依組織規模

  • 主要企業
  • 小型企業

第8章電子商務詐欺偵測與預防市場：依行業

  • 航太和國防
  • 汽車/交通
  • 銀行、金融服務和保險
  • 建築、建築、房地產
  • 消費品/零售
  • 教育
  • 能源/公共產業
  • 政府和公共部門
  • 醫療保健和生命科學
  • 資訊科技
  • 製造業
  • 媒體和娛樂
  • 通訊
  • 旅遊/酒店

第9章電子商務詐欺偵測與預防市場：按發展分類

  • 在雲端
  • 本地

第10章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

第11章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

第12章歐洲、中東和非洲的電子商務詐欺偵測與預防市場

  • 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13章競爭格局

  • 2023 年市場佔有率分析
  • FPNV 定位矩陣，2023
  • 競爭情境分析
    • Mangopay 的人工智慧解決方案透過即時偵測和安全整合處於打擊電子商務詐騙的最前沿。
    • Visa利用人工智慧創新增強電子商務詐騙偵測與預防並提高交易安全
    • Equifax 和 VTEX 之間的全球合作透過先進的人工智慧解決方案加強電子商務詐騙預防
    • Namaste Credit 與 Microsoft Azure 合作推出獨特的詐騙偵測功能
    • CellPoint Digital 和 Riskified 合作夥伴透過業界領先的付款解決方案加強對航空公司和旅遊提供者的詐欺保護
    • Chargeflow 利用 AI 對抗扣回爭議帳款，融資 1,400 萬美元
    • 萬事達卡和 Vesta 合作為亞太地區提供增強的數位詐騙偵測解決方案
  • 戰略分析和建議
    • ACI環球有限公司

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 47.93 billion in 2023, expected to reach USD 57.51 billion in 2024, and is projected to grow at a CAGR of 21.45%, to USD 186.82 billion by 2030.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Key Company Profiles

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

Market Segmentation & Coverage

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Table of Contents

1. Preface

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

2. Research Methodology

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

3. Executive Summary

4. Market Overview

5. Market Insights

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

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

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

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

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

8. eCommerce Fraud Detection & Prevention Market, by Industry

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

9. eCommerce Fraud Detection & Prevention Market, by Deployment

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

10. Americas eCommerce Fraud Detection & Prevention Market

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

11. Asia-Pacific eCommerce Fraud Detection & Prevention Market

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

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

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

13. Competitive Landscape

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

Companies Mentioned

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

LIST OF FIGURES

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

LIST OF TABLES

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