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市场调查报告书
商品编码
1872026

电子商务防诈骗软体 - 全球市场占有率和排名、总收入和需求预测（2025-2031年）

Ecommerce Fraud Prevention Software - Global Market Share and Ranking, Overall Sales and Demand Forecast 2025-2031
出版日期: | 出版商: QYResearch | 英文 158 Pages | 商品交期: 2-3个工作天内

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全球电子商务诈欺预防软体市场预计在 2024 年达到 47.68 亿美元，预计到 2031 年将达到 99.15 亿美元，2025 年至 2031 年的复合年增长率为 11.2%。

电子商务防诈骗软体是一种专门用于识别、预防和减轻线上交易诈欺活动的技术工具。它利用人工智慧 (AI)、机器学习 (ML) 和行为分析等技术，透过即时监控用户行为、交易数据和设备信息，检测异常模式并阻止可疑交易。该软体可预防多种诈欺活动，包括信用卡卡片诈骗、帐户盗用、诈欺性退款、虚假退货和虚假姓名註册。它通常整合到电子商务平台、付款闸道和客户管理系统中，帮助企业减少财务损失、降低扣回争议帐款率、保护客户资料并提升用户信任。

在经历了最初的快速扩张之后，电子商务防诈骗软体市场正进入一个结构深化和技术演进的新阶段。儘管成长速度有所放缓，但市场仍保持着稳定的成长趋势，尤其是在人工智慧驱动的行为识别、帐户安全和退货订单管理等领域。中小企业需求的不断增长，以及日益严峻的全球合规压力，正迫使企业采用更先进、更复杂的防诈欺和管理系统。目前，云端基础的部署已成为市场主流，并广泛应用于各个领域。北美仍然是重要的市场区域，而欧洲和亚太地区正逐渐崛起，形成更多元化的区域分布模式。同时，Visa、Riskified、Ethoca和Signifyd等公司已形成相对集中的竞争格局。在技​​术和业务需求的双重驱动下，整个市场具有巨大的长期发展潜力。

电子商务反诈骗软体市场以技术主导特征，人工智慧和机器学习是其核心，并不断提升其打击新型诈欺活动的能力。随着SaaS部署模式的普及，中小型电商企业越来越多地采用轻量级解决方案，进一步推动了市场需求。在监管日益严格的环境下，GDPR和PCI-DSS等合规要求也促使企业加强对资料安全和交易监控的投入。同时，诈欺手段正从传统的窃盗演变为更复杂的帐户盗用和社交工程攻击，迫使软体平台朝多维度行为分析方向发展。未来的产业创新很可能聚焦于行为生物辨识、自动化扣回争议帐款处理和跨平台风险整合。

本报告旨在按地区/国家、类型和应用对全球电子商务诈欺预防软体市场进行全面分析，重点关注总收入、市场份额和主要企业的排名。

本报告以收益为准，对电子商务防诈骗软体市场规模、估值和预测进行了呈现，以2024年为基准年，并涵盖了2020年至2031年的历史数据和预测数据。定量和定性分析将帮助读者制定业务和成长策略，评估市场竞争，分析公司在当前市场中的地位，并就电子商务防诈骗软体做出明智的商业决策。

市场区隔

公司

  • Stripe
  • Riskified
  • Sift
  • Ethoca（Mastercard）
  • Signifyd
  • NoFraud
  • Forter
  • Subuno
  • TransUnion
  • SEON
  • Shield
  • ACI Worldwide
  • Kount（Equifax）
  • PayPal
  • Visa
  • Razorpay
  • Bolt
  • DataDome
  • Ping Identity
  • ClearSale
  • Fingerprint
  • Arkose Labs

按类型分類的细分市场

  • 云端基础的
  • 本地部署

应用领域

  • 小型企业
  • 大公司

按地区

  • 北美洲
    • 美国
    • 加拿大
  • 亚太地区
    • 中国
    • 日本
    • 韩国
    • 东南亚
    • 印度
    • 澳洲
    • 亚太其他地区
  • 欧洲
    • 德国
    • 法国
    • 英国
    • 义大利
    • 荷兰
    • 北欧国家
    • 其他欧洲
  • 拉丁美洲
    • 墨西哥
    • 巴西
    • 其他拉丁美洲
  • 中东和非洲
    • 土耳其
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 其他中东和非洲地区

The global market for Ecommerce Fraud Prevention Software was estimated to be worth US$ 4768 million in 2024 and is forecast to a readjusted size of US$ 9915 million by 2031 with a CAGR of 11.2% during the forecast period 2025-2031.

E-commerce anti-fraud software is a type of technical tool specifically designed to identify, prevent and mitigate fraud in online transactions. It uses technologies such as artificial intelligence (AI), machine learning (ML) and behavioral analysis to identify abnormal patterns and block suspicious transactions by monitoring user behavior, transaction data and device information in real time. The software can prevent a variety of frauds such as credit card fraud, account takeover, false refunds, false returns, false identity registration, etc. It is usually integrated into e-commerce platforms, payment gateways or customer management systems to help companies reduce financial losses, reduce chargeback rates, protect customer data and enhance user trust.

After experiencing rapid expansion in the early stage, the e-commerce anti-fraud software market is entering a new stage characterized by structural deepening and technological evolution. Although the growth rate has slowed down, the market still maintains a steady growth trend, especially in the fields of AI-driven behavior recognition, account security, and return order management. The rising demand of small and medium-sized enterprises, coupled with the strengthening of global compliance pressure, has prompted enterprises to deploy smarter and more complex prevention and control systems. The current market is mainly cloud-based deployment, with a wide range of applications. North America is still an important region, but Europe and Asia-Pacific are gradually rising, and the regional pattern is becoming more diversified. At the same time, companies such as Visa, Riskified, Ethoca, and Signifyd constitute a relatively concentrated competitive landscape. Driven by both technology and business needs, the overall market has strong long-term development potential.

The e-commerce anti-fraud software market has a strong technology-driven feature, with AI and machine learning as the core support, continuously improving recognition efficiency to deal with new fraudulent behaviors. With the popularization of SaaS deployment methods, small and medium-sized e-commerce companies are increasingly embracing lightweight solutions, driving the continued expansion of market demand. In an environment of stricter regulation, compliance requirements such as GDPR and PCI-DSS have also accelerated companies' investment in data security and transaction monitoring. At the same time, fraud has evolved from traditional theft to more complex account takeovers and social engineering attacks, prompting software platforms to evolve towards multi-dimensional behavioral analysis. In the future, behavioral biometrics, automated chargeback processing, and cross-platform risk integration will become the focus of industry innovation.

This report aims to provide a comprehensive presentation of the global market for Ecommerce Fraud Prevention Software, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of Ecommerce Fraud Prevention Software by region & country, by Type, and by Application.

The Ecommerce Fraud Prevention Software market size, estimations, and forecasts are provided in terms of sales revenue ($ millions), considering 2024 as the base year, with history and forecast data for the period from 2020 to 2031. With both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Ecommerce Fraud Prevention Software.

Market Segmentation

By Company

  • Stripe
  • Riskified
  • Sift
  • Ethoca (Mastercard)
  • Signifyd
  • NoFraud
  • Forter
  • Subuno
  • TransUnion
  • SEON
  • Shield
  • ACI Worldwide
  • Kount (Equifax)
  • PayPal
  • Visa
  • Razorpay
  • Bolt
  • DataDome
  • Ping Identity
  • ClearSale
  • Fingerprint
  • Arkose Labs

Segment by Type

  • Cloud-Based
  • On-Premise

Segment by Application

  • SMES
  • Large Enterprise

By Region

  • North America
    • United States
    • Canada
  • Asia-Pacific
    • China
    • Japan
    • South Korea
    • Southeast Asia
    • India
    • Australia
    • Rest of Asia-Pacific
  • Europe
    • Germany
    • France
    • U.K.
    • Italy
    • Netherlands
    • Nordic Countries
    • Rest of Europe
  • Latin America
    • Mexico
    • Brazil
    • Rest of Latin America
  • Middle East & Africa
    • Turkey
    • Saudi Arabia
    • UAE
    • Rest of MEA

Chapter Outline

Chapter 1: Introduces the report scope of the report, global total market size. This chapter also provides the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.

Chapter 2: Detailed analysis of Ecommerce Fraud Prevention Software company competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.

Chapter 3: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.

Chapter 4: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.

Chapter 5: Revenue of Ecommerce Fraud Prevention Software in regional level. It provides a quantitative analysis of the market size and development potential of each region and introduces the market development, future development prospects, market space, and market size of each country in the world.

Chapter 6: Revenue of Ecommerce Fraud Prevention Software in country level. It provides sigmate data by Type, and by Application for each country/region.

Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.

Chapter 8: Analysis of industrial chain, including the upstream and downstream of the industry.

Chapter 9: Conclusion.

Table of Contents

1 Market Overview

  • 1.1 Ecommerce Fraud Prevention Software Product Introduction
  • 1.2 Global Ecommerce Fraud Prevention Software Market Size Forecast (2020-2031)
  • 1.3 Ecommerce Fraud Prevention Software Market Trends & Drivers
    • 1.3.1 Ecommerce Fraud Prevention Software Industry Trends
    • 1.3.2 Ecommerce Fraud Prevention Software Market Drivers & Opportunity
    • 1.3.3 Ecommerce Fraud Prevention Software Market Challenges
    • 1.3.4 Ecommerce Fraud Prevention Software Market Restraints
  • 1.4 Assumptions and Limitations
  • 1.5 Study Objectives
  • 1.6 Years Considered

2 Competitive Analysis by Company

  • 2.1 Global Ecommerce Fraud Prevention Software Players Revenue Ranking (2024)
  • 2.2 Global Ecommerce Fraud Prevention Software Revenue by Company (2020-2025)
  • 2.3 Key Companies Ecommerce Fraud Prevention Software Manufacturing Base Distribution and Headquarters
  • 2.4 Key Companies Ecommerce Fraud Prevention Software Product Offered
  • 2.5 Key Companies Time to Begin Mass Production of Ecommerce Fraud Prevention Software
  • 2.6 Ecommerce Fraud Prevention Software Market Competitive Analysis
    • 2.6.1 Ecommerce Fraud Prevention Software Market Concentration Rate (2020-2025)
    • 2.6.2 Global 5 and 10 Largest Companies by Ecommerce Fraud Prevention Software Revenue in 2024
    • 2.6.3 Global Top Companies by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Ecommerce Fraud Prevention Software as of 2024)
  • 2.7 Mergers & Acquisitions, Expansion

3 Segmentation by Type

  • 3.1 Introduction by Type
    • 3.1.1 Cloud-Based
    • 3.1.2 On-Premise
  • 3.2 Global Ecommerce Fraud Prevention Software Sales Value by Type
    • 3.2.1 Global Ecommerce Fraud Prevention Software Sales Value by Type (2020 VS 2024 VS 2031)
    • 3.2.2 Global Ecommerce Fraud Prevention Software Sales Value, by Type (2020-2031)
    • 3.2.3 Global Ecommerce Fraud Prevention Software Sales Value, by Type (%) (2020-2031)

4 Segmentation by Application

  • 4.1 Introduction by Application
    • 4.1.1 SMES
    • 4.1.2 Large Enterprise
  • 4.2 Global Ecommerce Fraud Prevention Software Sales Value by Application
    • 4.2.1 Global Ecommerce Fraud Prevention Software Sales Value by Application (2020 VS 2024 VS 2031)
    • 4.2.2 Global Ecommerce Fraud Prevention Software Sales Value, by Application (2020-2031)
    • 4.2.3 Global Ecommerce Fraud Prevention Software Sales Value, by Application (%) (2020-2031)

5 Segmentation by Region

  • 5.1 Global Ecommerce Fraud Prevention Software Sales Value by Region
    • 5.1.1 Global Ecommerce Fraud Prevention Software Sales Value by Region: 2020 VS 2024 VS 2031
    • 5.1.2 Global Ecommerce Fraud Prevention Software Sales Value by Region (2020-2025)
    • 5.1.3 Global Ecommerce Fraud Prevention Software Sales Value by Region (2026-2031)
    • 5.1.4 Global Ecommerce Fraud Prevention Software Sales Value by Region (%), (2020-2031)
  • 5.2 North America
    • 5.2.1 North America Ecommerce Fraud Prevention Software Sales Value, 2020-2031
    • 5.2.2 North America Ecommerce Fraud Prevention Software Sales Value by Country (%), 2024 VS 2031
  • 5.3 Europe
    • 5.3.1 Europe Ecommerce Fraud Prevention Software Sales Value, 2020-2031
    • 5.3.2 Europe Ecommerce Fraud Prevention Software Sales Value by Country (%), 2024 VS 2031
  • 5.4 Asia Pacific
    • 5.4.1 Asia Pacific Ecommerce Fraud Prevention Software Sales Value, 2020-2031
    • 5.4.2 Asia Pacific Ecommerce Fraud Prevention Software Sales Value by Region (%), 2024 VS 2031
  • 5.5 South America
    • 5.5.1 South America Ecommerce Fraud Prevention Software Sales Value, 2020-2031
    • 5.5.2 South America Ecommerce Fraud Prevention Software Sales Value by Country (%), 2024 VS 2031
  • 5.6 Middle East & Africa
    • 5.6.1 Middle East & Africa Ecommerce Fraud Prevention Software Sales Value, 2020-2031
    • 5.6.2 Middle East & Africa Ecommerce Fraud Prevention Software Sales Value by Country (%), 2024 VS 2031

6 Segmentation by Key Countries/Regions

  • 6.1 Key Countries/Regions Ecommerce Fraud Prevention Software Sales Value Growth Trends, 2020 VS 2024 VS 2031
  • 6.2 Key Countries/Regions Ecommerce Fraud Prevention Software Sales Value, 2020-2031
  • 6.3 United States
    • 6.3.1 United States Ecommerce Fraud Prevention Software Sales Value, 2020-2031
    • 6.3.2 United States Ecommerce Fraud Prevention Software Sales Value by Type (%), 2024 VS 2031
    • 6.3.3 United States Ecommerce Fraud Prevention Software Sales Value by Application, 2024 VS 2031
  • 6.4 Europe
    • 6.4.1 Europe Ecommerce Fraud Prevention Software Sales Value, 2020-2031
    • 6.4.2 Europe Ecommerce Fraud Prevention Software Sales Value by Type (%), 2024 VS 2031
    • 6.4.3 Europe Ecommerce Fraud Prevention Software Sales Value by Application, 2024 VS 2031
  • 6.5 China
    • 6.5.1 China Ecommerce Fraud Prevention Software Sales Value, 2020-2031
    • 6.5.2 China Ecommerce Fraud Prevention Software Sales Value by Type (%), 2024 VS 2031
    • 6.5.3 China Ecommerce Fraud Prevention Software Sales Value by Application, 2024 VS 2031
  • 6.6 Japan
    • 6.6.1 Japan Ecommerce Fraud Prevention Software Sales Value, 2020-2031
    • 6.6.2 Japan Ecommerce Fraud Prevention Software Sales Value by Type (%), 2024 VS 2031
    • 6.6.3 Japan Ecommerce Fraud Prevention Software Sales Value by Application, 2024 VS 2031
  • 6.7 South Korea
    • 6.7.1 South Korea Ecommerce Fraud Prevention Software Sales Value, 2020-2031
    • 6.7.2 South Korea Ecommerce Fraud Prevention Software Sales Value by Type (%), 2024 VS 2031
    • 6.7.3 South Korea Ecommerce Fraud Prevention Software Sales Value by Application, 2024 VS 2031
  • 6.8 Southeast Asia
    • 6.8.1 Southeast Asia Ecommerce Fraud Prevention Software Sales Value, 2020-2031
    • 6.8.2 Southeast Asia Ecommerce Fraud Prevention Software Sales Value by Type (%), 2024 VS 2031
    • 6.8.3 Southeast Asia Ecommerce Fraud Prevention Software Sales Value by Application, 2024 VS 2031
  • 6.9 India
    • 6.9.1 India Ecommerce Fraud Prevention Software Sales Value, 2020-2031
    • 6.9.2 India Ecommerce Fraud Prevention Software Sales Value by Type (%), 2024 VS 2031
    • 6.9.3 India Ecommerce Fraud Prevention Software Sales Value by Application, 2024 VS 2031

7 Company Profiles

  • 7.1 Stripe
    • 7.1.1 Stripe Profile
    • 7.1.2 Stripe Main Business
    • 7.1.3 Stripe Ecommerce Fraud Prevention Software Products, Services and Solutions
    • 7.1.4 Stripe Ecommerce Fraud Prevention Software Revenue (US$ Million) & (2020-2025)
    • 7.1.5 Stripe Recent Developments
  • 7.2 Riskified
    • 7.2.1 Riskified Profile
    • 7.2.2 Riskified Main Business
    • 7.2.3 Riskified Ecommerce Fraud Prevention Software Products, Services and Solutions
    • 7.2.4 Riskified Ecommerce Fraud Prevention Software Revenue (US$ Million) & (2020-2025)
    • 7.2.5 Riskified Recent Developments
  • 7.3 Sift
    • 7.3.1 Sift Profile
    • 7.3.2 Sift Main Business
    • 7.3.3 Sift Ecommerce Fraud Prevention Software Products, Services and Solutions
    • 7.3.4 Sift Ecommerce Fraud Prevention Software Revenue (US$ Million) & (2020-2025)
    • 7.3.5 Sift Recent Developments
  • 7.4 Ethoca (Mastercard)
    • 7.4.1 Ethoca (Mastercard) Profile
    • 7.4.2 Ethoca (Mastercard) Main Business
    • 7.4.3 Ethoca (Mastercard) Ecommerce Fraud Prevention Software Products, Services and Solutions
    • 7.4.4 Ethoca (Mastercard) Ecommerce Fraud Prevention Software Revenue (US$ Million) & (2020-2025)
    • 7.4.5 Ethoca (Mastercard) Recent Developments
  • 7.5 Signifyd
    • 7.5.1 Signifyd Profile
    • 7.5.2 Signifyd Main Business
    • 7.5.3 Signifyd Ecommerce Fraud Prevention Software Products, Services and Solutions
    • 7.5.4 Signifyd Ecommerce Fraud Prevention Software Revenue (US$ Million) & (2020-2025)
    • 7.5.5 Signifyd Recent Developments
  • 7.6 NoFraud
    • 7.6.1 NoFraud Profile
    • 7.6.2 NoFraud Main Business
    • 7.6.3 NoFraud Ecommerce Fraud Prevention Software Products, Services and Solutions
    • 7.6.4 NoFraud Ecommerce Fraud Prevention Software Revenue (US$ Million) & (2020-2025)
    • 7.6.5 NoFraud Recent Developments
  • 7.7 Forter
    • 7.7.1 Forter Profile
    • 7.7.2 Forter Main Business
    • 7.7.3 Forter Ecommerce Fraud Prevention Software Products, Services and Solutions
    • 7.7.4 Forter Ecommerce Fraud Prevention Software Revenue (US$ Million) & (2020-2025)
    • 7.7.5 Forter Recent Developments
  • 7.8 Subuno
    • 7.8.1 Subuno Profile
    • 7.8.2 Subuno Main Business
    • 7.8.3 Subuno Ecommerce Fraud Prevention Software Products, Services and Solutions
    • 7.8.4 Subuno Ecommerce Fraud Prevention Software Revenue (US$ Million) & (2020-2025)
    • 7.8.5 Subuno Recent Developments
  • 7.9 TransUnion
    • 7.9.1 TransUnion Profile
    • 7.9.2 TransUnion Main Business
    • 7.9.3 TransUnion Ecommerce Fraud Prevention Software Products, Services and Solutions
    • 7.9.4 TransUnion Ecommerce Fraud Prevention Software Revenue (US$ Million) & (2020-2025)
    • 7.9.5 TransUnion Recent Developments
  • 7.10 SEON
    • 7.10.1 SEON Profile
    • 7.10.2 SEON Main Business
    • 7.10.3 SEON Ecommerce Fraud Prevention Software Products, Services and Solutions
    • 7.10.4 SEON Ecommerce Fraud Prevention Software Revenue (US$ Million) & (2020-2025)
    • 7.10.5 SEON Recent Developments
  • 7.11 Shield
    • 7.11.1 Shield Profile
    • 7.11.2 Shield Main Business
    • 7.11.3 Shield Ecommerce Fraud Prevention Software Products, Services and Solutions
    • 7.11.4 Shield Ecommerce Fraud Prevention Software Revenue (US$ Million) & (2020-2025)
    • 7.11.5 Shield Recent Developments
  • 7.12 ACI Worldwide
    • 7.12.1 ACI Worldwide Profile
    • 7.12.2 ACI Worldwide Main Business
    • 7.12.3 ACI Worldwide Ecommerce Fraud Prevention Software Products, Services and Solutions
    • 7.12.4 ACI Worldwide Ecommerce Fraud Prevention Software Revenue (US$ Million) & (2020-2025)
    • 7.12.5 ACI Worldwide Recent Developments
  • 7.13 Kount (Equifax)
    • 7.13.1 Kount (Equifax) Profile
    • 7.13.2 Kount (Equifax) Main Business
    • 7.13.3 Kount (Equifax) Ecommerce Fraud Prevention Software Products, Services and Solutions
    • 7.13.4 Kount (Equifax) Ecommerce Fraud Prevention Software Revenue (US$ Million) & (2020-2025)
    • 7.13.5 Kount (Equifax) Recent Developments
  • 7.14 PayPal
    • 7.14.1 PayPal Profile
    • 7.14.2 PayPal Main Business
    • 7.14.3 PayPal Ecommerce Fraud Prevention Software Products, Services and Solutions
    • 7.14.4 PayPal Ecommerce Fraud Prevention Software Revenue (US$ Million) & (2020-2025)
    • 7.14.5 PayPal Recent Developments
  • 7.15 Visa
    • 7.15.1 Visa Profile
    • 7.15.2 Visa Main Business
    • 7.15.3 Visa Ecommerce Fraud Prevention Software Products, Services and Solutions
    • 7.15.4 Visa Ecommerce Fraud Prevention Software Revenue (US$ Million) & (2020-2025)
    • 7.15.5 Visa Recent Developments
  • 7.16 Razorpay
    • 7.16.1 Razorpay Profile
    • 7.16.2 Razorpay Main Business
    • 7.16.3 Razorpay Ecommerce Fraud Prevention Software Products, Services and Solutions
    • 7.16.4 Razorpay Ecommerce Fraud Prevention Software Revenue (US$ Million) & (2020-2025)
    • 7.16.5 Razorpay Recent Developments
  • 7.17 Bolt
    • 7.17.1 Bolt Profile
    • 7.17.2 Bolt Main Business
    • 7.17.3 Bolt Ecommerce Fraud Prevention Software Products, Services and Solutions
    • 7.17.4 Bolt Ecommerce Fraud Prevention Software Revenue (US$ Million) & (2020-2025)
    • 7.17.5 Bolt Recent Developments
  • 7.18 DataDome
    • 7.18.1 DataDome Profile
    • 7.18.2 DataDome Main Business
    • 7.18.3 DataDome Ecommerce Fraud Prevention Software Products, Services and Solutions
    • 7.18.4 DataDome Ecommerce Fraud Prevention Software Revenue (US$ Million) & (2020-2025)
    • 7.18.5 DataDome Recent Developments
  • 7.19 Ping Identity
    • 7.19.1 Ping Identity Profile
    • 7.19.2 Ping Identity Main Business
    • 7.19.3 Ping Identity Ecommerce Fraud Prevention Software Products, Services and Solutions
    • 7.19.4 Ping Identity Ecommerce Fraud Prevention Software Revenue (US$ Million) & (2020-2025)
    • 7.19.5 Ping Identity Recent Developments
  • 7.20 ClearSale
    • 7.20.1 ClearSale Profile
    • 7.20.2 ClearSale Main Business
    • 7.20.3 ClearSale Ecommerce Fraud Prevention Software Products, Services and Solutions
    • 7.20.4 ClearSale Ecommerce Fraud Prevention Software Revenue (US$ Million) & (2020-2025)
    • 7.20.5 ClearSale Recent Developments
  • 7.21 Fingerprint
    • 7.21.1 Fingerprint Profile
    • 7.21.2 Fingerprint Main Business
    • 7.21.3 Fingerprint Ecommerce Fraud Prevention Software Products, Services and Solutions
    • 7.21.4 Fingerprint Ecommerce Fraud Prevention Software Revenue (US$ Million) & (2020-2025)
    • 7.21.5 Fingerprint Recent Developments
  • 7.22 Arkose Labs
    • 7.22.1 Arkose Labs Profile
    • 7.22.2 Arkose Labs Main Business
    • 7.22.3 Arkose Labs Ecommerce Fraud Prevention Software Products, Services and Solutions
    • 7.22.4 Arkose Labs Ecommerce Fraud Prevention Software Revenue (US$ Million) & (2020-2025)
    • 7.22.5 Arkose Labs Recent Developments

8 Industry Chain Analysis

  • 8.1 Ecommerce Fraud Prevention Software Industrial Chain
  • 8.2 Ecommerce Fraud Prevention Software Upstream Analysis
    • 8.2.1 Key Raw Materials
    • 8.2.2 Raw Materials Key Suppliers
    • 8.2.3 Manufacturing Cost Structure
  • 8.3 Midstream Analysis
  • 8.4 Downstream Analysis (Customers Analysis)
  • 8.5 Sales Model and Sales Channels
    • 8.5.1 Ecommerce Fraud Prevention Software Sales Model
    • 8.5.2 Sales Channel
    • 8.5.3 Ecommerce Fraud Prevention Software Distributors

9 Research Findings and Conclusion

10 Appendix

  • 10.1 Research Methodology
    • 10.1.1 Methodology/Research Approach
      • 10.1.1.1 Research Programs/Design
      • 10.1.1.2 Market Size Estimation
      • 10.1.1.3 Market Breakdown and Data Triangulation
    • 10.1.2 Data Source
      • 10.1.2.1 Secondary Sources
      • 10.1.2.2 Primary Sources
  • 10.2 Author Details
  • 10.3 Disclaimer

List of Tables

  • Table 1. Ecommerce Fraud Prevention Software Market Trends
  • Table 2. Ecommerce Fraud Prevention Software Market Drivers & Opportunity
  • Table 3. Ecommerce Fraud Prevention Software Market Challenges
  • Table 4. Ecommerce Fraud Prevention Software Market Restraints
  • Table 5. Global Ecommerce Fraud Prevention Software Revenue by Company (2020-2025) & (US$ Million)
  • Table 6. Global Ecommerce Fraud Prevention Software Revenue Market Share by Company (2020-2025)
  • Table 7. Key Companies Ecommerce Fraud Prevention Software Manufacturing Base Distribution and Headquarters
  • Table 8. Key Companies Ecommerce Fraud Prevention Software Product Type
  • Table 9. Key Companies Time to Begin Mass Production of Ecommerce Fraud Prevention Software
  • Table 10. Global Ecommerce Fraud Prevention Software Companies Market Concentration Ratio (CR5 and HHI)
  • Table 11. Global Top Companies by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Ecommerce Fraud Prevention Software as of 2024)
  • Table 12. Mergers & Acquisitions, Expansion Plans
  • Table 13. Global Ecommerce Fraud Prevention Software Sales Value by Type: 2020 VS 2024 VS 2031 (US$ Million)
  • Table 14. Global Ecommerce Fraud Prevention Software Sales Value by Type (2020-2025) & (US$ Million)
  • Table 15. Global Ecommerce Fraud Prevention Software Sales Value by Type (2026-2031) & (US$ Million)
  • Table 16. Global Ecommerce Fraud Prevention Software Sales Market Share in Value by Type (2020-2025)
  • Table 17. Global Ecommerce Fraud Prevention Software Sales Market Share in Value by Type (2026-2031)
  • Table 18. Global Ecommerce Fraud Prevention Software Sales Value by Application: 2020 VS 2024 VS 2031 (US$ Million)
  • Table 19. Global Ecommerce Fraud Prevention Software Sales Value by Application (2020-2025) & (US$ Million)
  • Table 20. Global Ecommerce Fraud Prevention Software Sales Value by Application (2026-2031) & (US$ Million)
  • Table 21. Global Ecommerce Fraud Prevention Software Sales Market Share in Value by Application (2020-2025)
  • Table 22. Global Ecommerce Fraud Prevention Software Sales Market Share in Value by Application (2026-2031)
  • Table 23. Global Ecommerce Fraud Prevention Software Sales Value by Region, (2020 VS 2024 VS 2031) & (US$ Million)
  • Table 24. Global Ecommerce Fraud Prevention Software Sales Value by Region (2020-2025) & (US$ Million)
  • Table 25. Global Ecommerce Fraud Prevention Software Sales Value by Region (2026-2031) & (US$ Million)
  • Table 26. Global Ecommerce Fraud Prevention Software Sales Value by Region (2020-2025) & (%)
  • Table 27. Global Ecommerce Fraud Prevention Software Sales Value by Region (2026-2031) & (%)
  • Table 28. Key Countries/Regions Ecommerce Fraud Prevention Software Sales Value Growth Trends, (US$ Million): 2020 VS 2024 VS 2031
  • Table 29. Key Countries/Regions Ecommerce Fraud Prevention Software Sales Value, (2020-2025) & (US$ Million)
  • Table 30. Key Countries/Regions Ecommerce Fraud Prevention Software Sales Value, (2026-2031) & (US$ Million)
  • Table 31. Stripe Basic Information List
  • Table 32. Stripe Description and Business Overview
  • Table 33. Stripe Ecommerce Fraud Prevention Software Products, Services and Solutions
  • Table 34. Revenue (US$ Million) in Ecommerce Fraud Prevention Software Business of Stripe (2020-2025)
  • Table 35. Stripe Recent Developments
  • Table 36. Riskified Basic Information List
  • Table 37. Riskified Description and Business Overview
  • Table 38. Riskified Ecommerce Fraud Prevention Software Products, Services and Solutions
  • Table 39. Revenue (US$ Million) in Ecommerce Fraud Prevention Software Business of Riskified (2020-2025)
  • Table 40. Riskified Recent Developments
  • Table 41. Sift Basic Information List
  • Table 42. Sift Description and Business Overview
  • Table 43. Sift Ecommerce Fraud Prevention Software Products, Services and Solutions
  • Table 44. Revenue (US$ Million) in Ecommerce Fraud Prevention Software Business of Sift (2020-2025)
  • Table 45. Sift Recent Developments
  • Table 46. Ethoca (Mastercard) Basic Information List
  • Table 47. Ethoca (Mastercard) Description and Business Overview
  • Table 48. Ethoca (Mastercard) Ecommerce Fraud Prevention Software Products, Services and Solutions
  • Table 49. Revenue (US$ Million) in Ecommerce Fraud Prevention Software Business of Ethoca (Mastercard) (2020-2025)
  • Table 50. Ethoca (Mastercard) Recent Developments
  • Table 51. Signifyd Basic Information List
  • Table 52. Signifyd Description and Business Overview
  • Table 53. Signifyd Ecommerce Fraud Prevention Software Products, Services and Solutions
  • Table 54. Revenue (US$ Million) in Ecommerce Fraud Prevention Software Business of Signifyd (2020-2025)
  • Table 55. Signifyd Recent Developments
  • Table 56. NoFraud Basic Information List
  • Table 57. NoFraud Description and Business Overview
  • Table 58. NoFraud Ecommerce Fraud Prevention Software Products, Services and Solutions
  • Table 59. Revenue (US$ Million) in Ecommerce Fraud Prevention Software Business of NoFraud (2020-2025)
  • Table 60. NoFraud Recent Developments
  • Table 61. Forter Basic Information List
  • Table 62. Forter Description and Business Overview
  • Table 63. Forter Ecommerce Fraud Prevention Software Products, Services and Solutions
  • Table 64. Revenue (US$ Million) in Ecommerce Fraud Prevention Software Business of Forter (2020-2025)
  • Table 65. Forter Recent Developments
  • Table 66. Subuno Basic Information List
  • Table 67. Subuno Description and Business Overview
  • Table 68. Subuno Ecommerce Fraud Prevention Software Products, Services and Solutions
  • Table 69. Revenue (US$ Million) in Ecommerce Fraud Prevention Software Business of Subuno (2020-2025)
  • Table 70. Subuno Recent Developments
  • Table 71. TransUnion Basic Information List
  • Table 72. TransUnion Description and Business Overview
  • Table 73. TransUnion Ecommerce Fraud Prevention Software Products, Services and Solutions
  • Table 74. Revenue (US$ Million) in Ecommerce Fraud Prevention Software Business of TransUnion (2020-2025)
  • Table 75. TransUnion Recent Developments
  • Table 76. SEON Basic Information List
  • Table 77. SEON Description and Business Overview
  • Table 78. SEON Ecommerce Fraud Prevention Software Products, Services and Solutions
  • Table 79. Revenue (US$ Million) in Ecommerce Fraud Prevention Software Business of SEON (2020-2025)
  • Table 80. SEON Recent Developments
  • Table 81. Shield Basic Information List
  • Table 82. Shield Description and Business Overview
  • Table 83. Shield Ecommerce Fraud Prevention Software Products, Services and Solutions
  • Table 84. Revenue (US$ Million) in Ecommerce Fraud Prevention Software Business of Shield (2020-2025)
  • Table 85. Shield Recent Developments
  • Table 86. ACI Worldwide Basic Information List
  • Table 87. ACI Worldwide Description and Business Overview
  • Table 88. ACI Worldwide Ecommerce Fraud Prevention Software Products, Services and Solutions
  • Table 89. Revenue (US$ Million) in Ecommerce Fraud Prevention Software Business of ACI Worldwide (2020-2025)
  • Table 90. ACI Worldwide Recent Developments
  • Table 91. Kount (Equifax) Basic Information List
  • Table 92. Kount (Equifax) Description and Business Overview
  • Table 93. Kount (Equifax) Ecommerce Fraud Prevention Software Products, Services and Solutions
  • Table 94. Revenue (US$ Million) in Ecommerce Fraud Prevention Software Business of Kount (Equifax) (2020-2025)
  • Table 95. Kount (Equifax) Recent Developments
  • Table 96. PayPal Basic Information List
  • Table 97. PayPal Description and Business Overview
  • Table 98. PayPal Ecommerce Fraud Prevention Software Products, Services and Solutions
  • Table 99. Revenue (US$ Million) in Ecommerce Fraud Prevention Software Business of PayPal (2020-2025)
  • Table 100. PayPal Recent Developments
  • Table 101. Visa Basic Information List
  • Table 102. Visa Description and Business Overview
  • Table 103. Visa Ecommerce Fraud Prevention Software Products, Services and Solutions
  • Table 104. Revenue (US$ Million) in Ecommerce Fraud Prevention Software Business of Visa (2020-2025)
  • Table 105. Visa Recent Developments
  • Table 106. Razorpay Basic Information List
  • Table 107. Razorpay Description and Business Overview
  • Table 108. Razorpay Ecommerce Fraud Prevention Software Products, Services and Solutions
  • Table 109. Revenue (US$ Million) in Ecommerce Fraud Prevention Software Business of Razorpay (2020-2025)
  • Table 110. Razorpay Recent Developments
  • Table 111. Bolt Basic Information List
  • Table 112. Bolt Description and Business Overview
  • Table 113. Bolt Ecommerce Fraud Prevention Software Products, Services and Solutions
  • Table 114. Revenue (US$ Million) in Ecommerce Fraud Prevention Software Business of Bolt (2020-2025)
  • Table 115. Bolt Recent Developments
  • Table 116. DataDome Basic Information List
  • Table 117. DataDome Description and Business Overview
  • Table 118. DataDome Ecommerce Fraud Prevention Software Products, Services and Solutions
  • Table 119. Revenue (US$ Million) in Ecommerce Fraud Prevention Software Business of DataDome (2020-2025)
  • Table 120. DataDome Recent Developments
  • Table 121. Ping Identity Basic Information List
  • Table 122. Ping Identity Description and Business Overview
  • Table 123. Ping Identity Ecommerce Fraud Prevention Software Products, Services and Solutions
  • Table 124. Revenue (US$ Million) in Ecommerce Fraud Prevention Software Business of Ping Identity (2020-2025)
  • Table 125. Ping Identity Recent Developments
  • Table 126. ClearSale Basic Information List
  • Table 127. ClearSale Description and Business Overview
  • Table 128. ClearSale Ecommerce Fraud Prevention Software Products, Services and Solutions
  • Table 129. Revenue (US$ Million) in Ecommerce Fraud Prevention Software Business of ClearSale (2020-2025)
  • Table 130. ClearSale Recent Developments
  • Table 131. Fingerprint Basic Information List
  • Table 132. Fingerprint Description and Business Overview
  • Table 133. Fingerprint Ecommerce Fraud Prevention Software Products, Services and Solutions
  • Table 134. Revenue (US$ Million) in Ecommerce Fraud Prevention Software Business of Fingerprint (2020-2025)
  • Table 135. Fingerprint Recent Developments
  • Table 136. Arkose Labs Basic Information List
  • Table 137. Arkose Labs Description and Business Overview
  • Table 138. Arkose Labs Ecommerce Fraud Prevention Software Products, Services and Solutions
  • Table 139. Revenue (US$ Million) in Ecommerce Fraud Prevention Software Business of Arkose Labs (2020-2025)
  • Table 140. Arkose Labs Recent Developments
  • Table 141. Key Raw Materials Lists
  • Table 142. Raw Materials Key Suppliers Lists
  • Table 143. Ecommerce Fraud Prevention Software Downstream Customers
  • Table 144. Ecommerce Fraud Prevention Software Distributors List
  • Table 145. Research Programs/Design for This Report
  • Table 146. Key Data Information from Secondary Sources
  • Table 147. Key Data Information from Primary Sources

List of Figures

  • Figure 1. Ecommerce Fraud Prevention Software Product Picture
  • Figure 2. Global Ecommerce Fraud Prevention Software Sales Value, 2020 VS 2024 VS 2031 (US$ Million)
  • Figure 3. Global Ecommerce Fraud Prevention Software Sales Value (2020-2031) & (US$ Million)
  • Figure 4. Ecommerce Fraud Prevention Software Report Years Considered
  • Figure 5. Global Ecommerce Fraud Prevention Software Players Revenue Ranking (2024) & (US$ Million)
  • Figure 6. The 5 and 10 Largest Companies in the World: Market Share by Ecommerce Fraud Prevention Software Revenue in 2024
  • Figure 7. Ecommerce Fraud Prevention Software Market Share by Company Type (Tier 1, Tier 2, and Tier 3): 2020 VS 2024
  • Figure 8. Cloud-Based Picture
  • Figure 9. On-Premise Picture
  • Figure 10. Global Ecommerce Fraud Prevention Software Sales Value by Type (2020 VS 2024 VS 2031) & (US$ Million)
  • Figure 11. Global Ecommerce Fraud Prevention Software Sales Value Market Share by Type, 2024 & 2031
  • Figure 12. Product Picture of SMES
  • Figure 13. Product Picture of Large Enterprise
  • Figure 14. Global Ecommerce Fraud Prevention Software Sales Value by Application (2020 VS 2024 VS 2031) & (US$ Million)
  • Figure 15. Global Ecommerce Fraud Prevention Software Sales Value Market Share by Application, 2024 & 2031
  • Figure 16. North America Ecommerce Fraud Prevention Software Sales Value (2020-2031) & (US$ Million)
  • Figure 17. North America Ecommerce Fraud Prevention Software Sales Value by Country (%), 2024 VS 2031
  • Figure 18. Europe Ecommerce Fraud Prevention Software Sales Value, (2020-2031) & (US$ Million)
  • Figure 19. Europe Ecommerce Fraud Prevention Software Sales Value by Country (%), 2024 VS 2031
  • Figure 20. Asia Pacific Ecommerce Fraud Prevention Software Sales Value, (2020-2031) & (US$ Million)
  • Figure 21. Asia Pacific Ecommerce Fraud Prevention Software Sales Value by Region (%), 2024 VS 2031
  • Figure 22. South America Ecommerce Fraud Prevention Software Sales Value, (2020-2031) & (US$ Million)
  • Figure 23. South America Ecommerce Fraud Prevention Software Sales Value by Country (%), 2024 VS 2031
  • Figure 24. Middle East & Africa Ecommerce Fraud Prevention Software Sales Value, (2020-2031) & (US$ Million)
  • Figure 25. Middle East & Africa Ecommerce Fraud Prevention Software Sales Value by Country (%), 2024 VS 2031
  • Figure 26. Key Countries/Regions Ecommerce Fraud Prevention Software Sales Value (%), (2020-2031)
  • Figure 27. United States Ecommerce Fraud Prevention Software Sales Value, (2020-2031) & (US$ Million)
  • Figure 28. United States Ecommerce Fraud Prevention Software Sales Value by Type (%), 2024 VS 2031
  • Figure 29. United States Ecommerce Fraud Prevention Software Sales Value by Application (%), 2024 VS 2031
  • Figure 30. Europe Ecommerce Fraud Prevention Software Sales Value, (2020-2031) & (US$ Million)
  • Figure 31. Europe Ecommerce Fraud Prevention Software Sales Value by Type (%), 2024 VS 2031
  • Figure 32. Europe Ecommerce Fraud Prevention Software Sales Value by Application (%), 2024 VS 2031
  • Figure 33. China Ecommerce Fraud Prevention Software Sales Value, (2020-2031) & (US$ Million)
  • Figure 34. China Ecommerce Fraud Prevention Software Sales Value by Type (%), 2024 VS 2031
  • Figure 35. China Ecommerce Fraud Prevention Software Sales Value by Application (%), 2024 VS 2031
  • Figure 36. Japan Ecommerce Fraud Prevention Software Sales Value, (2020-2031) & (US$ Million)
  • Figure 37. Japan Ecommerce Fraud Prevention Software Sales Value by Type (%), 2024 VS 2031
  • Figure 38. Japan Ecommerce Fraud Prevention Software Sales Value by Application (%), 2024 VS 2031
  • Figure 39. South Korea Ecommerce Fraud Prevention Software Sales Value, (2020-2031) & (US$ Million)
  • Figure 40. South Korea Ecommerce Fraud Prevention Software Sales Value by Type (%), 2024 VS 2031
  • Figure 41. South Korea Ecommerce Fraud Prevention Software Sales Value by Application (%), 2024 VS 2031
  • Figure 42. Southeast Asia Ecommerce Fraud Prevention Software Sales Value, (2020-2031) & (US$ Million)
  • Figure 43. Southeast Asia Ecommerce Fraud Prevention Software Sales Value by Type (%), 2024 VS 2031
  • Figure 44. Southeast Asia Ecommerce Fraud Prevention Software Sales Value by Application (%), 2024 VS 2031
  • Figure 45. India Ecommerce Fraud Prevention Software Sales Value, (2020-2031) & (US$ Million)
  • Figure 46. India Ecommerce Fraud Prevention Software Sales Value by Type (%), 2024 VS 2031
  • Figure 47. India Ecommerce Fraud Prevention Software Sales Value by Application (%), 2024 VS 2031
  • Figure 48. Ecommerce Fraud Prevention Software Industrial Chain
  • Figure 49. Ecommerce Fraud Prevention Software Manufacturing Cost Structure
  • Figure 50. Channels of Distribution (Direct Sales, and Distribution)
  • Figure 51. Bottom-up and Top-down Approaches for This Report
  • Figure 52. Data Triangulation
  • Figure 53. Key Executives Interviewed