Global E commerce Fraud Prevention and Detection Industry

2023-2029 Global E-commerce Fraud Prevention and Detection Industry Research & Trends Analysis Report

Global E commerce Fraud Prevention and Detection Industry

2023-2029 Global E-commerce Fraud Prevention and Detection Industry Research & Trends Analysis Report

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Ample Market Research presents an in-depth analysis of the E-commerce Fraud Prevention and Detection Market, offering valuable insights into current industry trends, future growth prospects, and strategic market dynamics. This report provides a detailed evaluation of key market drivers, restraints, emerging trends, and regional influences shaping the industry's evolution.

By leveraging historical analysis and forecast projections, this study offers a holistic understanding of market developments, assisting stakeholders in making informed strategic decisions. Additionally, a SWOT analysis is incorporated to highlight strengths, weaknesses, opportunities, and threats within the sector.

The evolving U.S. tariff policy in 2025 is bringing considerable uncertainty into the global economic landscape. This report delves into the latest U.S. tariff measures and the corresponding policy responses across the world, assessing their impacts on E-commerce Fraud Prevention and Detection market competitiveness, regional economic interdependencies, and supply chain reconfigurations.

E-commerce Fraud Prevention and Detection Market Segmentation
Market segmentation in research is the process of breaking down a broad market into distinct consumer groups based on shared characteristics, such as demographics, geographic location, behavioral patterns, or lifestyle preferences. This approach enables businesses to refine their product offerings and marketing strategies to better address the unique needs of each segment. By tailoring their approach, companies can optimize resource allocation, enhance customer satisfaction, and drive sales growth, ultimately securing a competitive advantage. Effective segmentation helps businesses gain deeper insights into their audience, craft targeted strategies, and maximize overall market performance.

E-commerce Fraud Prevention and Detection Market by Type [Analysis by Value from 2020 to 2032]:
  • Fraud Detection
  • Authentication
  • Payment Systems
  • Machine Learning
  • AI


E-commerce Fraud Prevention and Detection Market by Application [Analysis by Value from 2020 to 2032]:
  • Digital Transactions
  • E-commerce
  • Payments
  • Identity Management
  • Financial Services


Key Players in the E-commerce Fraud Prevention and Detection Market
Leading market players are focused on strengthening their presence by acquiring emerging companies. Established firms are heavily investing in research and development to introduce innovative products and expand their market reach. Additionally, some companies are engaging in mergers to leverage their combined strengths and deliver high-quality products. Based on these factors, the study includes the following key industry players.
  • PayPal
  • Forter
  • Signifyd
  • Riskified
  • IBM
  • Mastercard
  • Visa
  • ACI Worldwide
  • ThreatMetrix
  • Secure Trading
  • etc.


E-commerce Fraud Prevention and Detection Market Dynamics: Drivers & Restraints
The report meticulously examines the core growth factors and challenges influencing market expansion. Each variable is supported by qualitative and quantitative insights, with Harvey ball indicators representing their level of impact.

E-commerce Fraud Prevention and Detection Market Analysis & Industry Trends
A comprehensive overview of industry developments, regulatory updates, and structural market shifts is provided. The report also evaluates the impact of U.S. tariff policy on global demand fluctuations and recovery patterns.

E-commerce Fraud Prevention and Detection Market Size & Demand Forecast (2032)
Precise market sizing data and demand forecasts are included, covering year-on-year (YoY) growth rates and compound annual growth rate (CAGR) projections, enabling businesses to plan for future growth.

E-commerce Fraud Prevention and Detection Industry Supply Chain & Competitive Analysis
Using Porter’s Five Forces framework, the report assesses competitive intensity and profitability within the industry. A detailed supply chain analysis examines market participants, operational structures, and efficiency factors.

E-commerce Fraud Prevention and Detection Segmentation & Growth Forecasts
The study systematically breaks down the Global E-commerce Fraud Prevention and Detection Market into multiple segments, outlining current conditions and future growth trajectories. This helps identify emerging trends and lucrative opportunities.

Regional Market Insights
The report offers country-wise assessments of market drivers, regulatory frameworks, and growth prospects across key regions:
• North America (United States, Canada, Mexico)
• Europe (Germany, France, United Kingdom, Russia)
• Asia-Pacific (China, India, Japan, South Korea, Australia)
• Rest of the World (Saudi Arabia, Brazil, Nigeria, South Africa)

Competitive Landscape & Key Player Profiles

Detailed evaluations of major companies include:
• Business overview & product offerings
• Financial performance & investment trends
• Recent mergers, acquisitions, and joint ventures (JVs)
• Strategic approaches adopted by market leaders

Executive Summary & Actionable Recommendations
A concise summary featuring charts, infographics, and forward-looking forecasts is provided. The report concludes with strategic recommendations to guide market stakeholders in decision-making.

Why Invest in This E-commerce Fraud Prevention and Detection Market Report?
✔️ Gain valuable insights into how COVID-19 has influenced the E-commerce Fraud Prevention and Detection market.
✔️ Discover market opportunities across key global regions.
✔️ Evaluate growth drivers & restraints and their long-term impact.
✔️ Access comprehensive market sizing & forecasting data.
✔️ Stay ahead of industry trends & competitive strategies.
✔️ Monitor M&A activities, partnerships, and joint ventures shaping the market.

For expert insights and customized segmentation, contact us to tailor the report to your specific business needs.

1 Market Overview

1.1 Product Overview and Scope of E-commerce Fraud Prevention and Detection

1.2 Global E-commerce Fraud Prevention and Detection Market Size and Forecast

1.3 China E-commerce Fraud Prevention and Detection Market Size and Forecast

1.4 China Market Percentage in Global

1.4.1 By Revenue, China E-commerce Fraud Prevention and Detection Share in Global Market, 2018-2029

1.4.2 E-commerce Fraud Prevention and Detection Market Size: China VS Global, 2018-2029

1.5 E-commerce Fraud Prevention and Detection Market Dynamics

1.5.1 E-commerce Fraud Prevention and Detection Market Drivers

1.5.2 E-commerce Fraud Prevention and Detection Market Restraints

1.5.3 E-commerce Fraud Prevention and Detection Industry Trends

1.5.4 E-commerce Fraud Prevention and Detection Industry Policy

2 Global Competitive Situation by Company

2.1 Global E-commerce Fraud Prevention and Detection Revenue by Company (2018-2023)

2.2 Global E-commerce Fraud Prevention and Detection Participants, Market Position (Tier 1, Tier 2 and Tier 3)

2.3 Global E-commerce Fraud Prevention and Detection Concentration Ratio

2.4 Global E-commerce Fraud Prevention and Detection Mergers & Acquisitions, Expansion Plans

2.5 Global E-commerce Fraud Prevention and Detection Manufacturers Product Type

3 China Competitive Situation by Company

3.1 China E-commerce Fraud Prevention and Detection Revenue by Company (2018-2023)

3.2 China E-commerce Fraud Prevention and Detection E-commerce Fraud Prevention and Detection Participants, Market Position (Tier 1, Tier 2 and Tier 3)

3.3 China E-commerce Fraud Prevention and Detection, Revenue Percentage of Local Players VS Foreign Manufacturers (2018-2023)

4 Industry Chain Analysis

4.1 E-commerce Fraud Prevention and Detection Industry Chain

4.2 E-commerce Fraud Prevention and Detection Upstream Analysis

4.3 E-commerce Fraud Prevention and Detection Midstream Analysis

4.4 E-commerce Fraud Prevention and Detection Downstream Analysis

5 Sights by Type

5.1 E-commerce Fraud Prevention and Detection Classification

5.1.1 Cloud Based

5.1.2 On-Premise

5.2 By Type, Global E-commerce Fraud Prevention and Detection Market Size & CAGR, 2018 VS 2022 VS 2029

5.3 By Type, Global E-commerce Fraud Prevention and Detection Revenue, 2018-2029

6 Sights by Application

6.1 E-commerce Fraud Prevention and Detection Segment by Application

6.1.1 Automotive and Transportation

6.1.2 Banking, Financial Services and Insurance

6.1.3 Consumer Goods and Retail

6.1.4 Education, Government and Public Sector

6.1.5 Healthcare and Life Sciences

6.1.6 Information Technology

6.1.7 Media and Entertainment

6.1.8 Others

6.2 By Application, Global E-commerce Fraud Prevention and Detection Market Size & CAGR, 2018 VS 2022 VS 2029

6.3 By Application, Global E-commerce Fraud Prevention and Detection Revenue, 2018-2029

7 Sales Sights by Region

7.1 By Region, Global E-commerce Fraud Prevention and Detection Market Size, 2018 VS 2022 VS 2029

7.2 By Region, Global E-commerce Fraud Prevention and Detection Market Size, 2018-2029

7.3 North America

7.3.1 North America E-commerce Fraud Prevention and Detection Market Size & Forecasts, 2018-2029

7.3.2 By Country, North America E-commerce Fraud Prevention and Detection Market Size Market Share

7.4 Europe

7.4.1 Europe E-commerce Fraud Prevention and Detection Market Size & Forecasts, 2018-2029

7.4.2 By Country, Europe E-commerce Fraud Prevention and Detection Market Size Market Share

7.5 Asia Pacific

7.5.1 Asia Pacific E-commerce Fraud Prevention and Detection Market Size & Forecasts, 2018-2029

7.5.2 By Country/Region, Asia Pacific E-commerce Fraud Prevention and Detection Market Size Market Share

7.6 South America

7.6.1 South America E-commerce Fraud Prevention and Detection Market Size & Forecasts, 2018-2029

7.6.2 By Country, South America E-commerce Fraud Prevention and Detection Market Size Market Share

7.7 Middle East & Africa

8 Sights by Country Level

8.1 By Country, Global E-commerce Fraud Prevention and Detection Market Size & CAGR，2018 VS 2022 VS 2029

8.2 By Country, Global E-commerce Fraud Prevention and Detection Market Size, 2018-2029

8.3 U.S.

8.3.1 U.S. E-commerce Fraud Prevention and Detection Market Size, 2018-2029

8.3.2 By Company, U.S. E-commerce Fraud Prevention and Detection Revenue Market Share, 2018-2023

8.3.3 By Type, U.S. E-commerce Fraud Prevention and Detection Revenue Market Share, 2022 VS 2029

8.3.4 By Application, U.S. E-commerce Fraud Prevention and Detection Revenue Market Share, 2022 VS 2029

8.4 Europe

8.4.1 Europe E-commerce Fraud Prevention and Detection Market Size, 2018-2029

8.4.2 By Company, Europe E-commerce Fraud Prevention and Detection Revenue Market Share, 2018-2023

8.4.3 By Type, Europe E-commerce Fraud Prevention and Detection Revenue Market Share, 2022 VS 2029

8.4.4 By Application, Europe E-commerce Fraud Prevention and Detection Revenue Market Share, 2022 VS 2029

8.5 China

8.5.1 China E-commerce Fraud Prevention and Detection Market Size, 2018-2029

8.5.2 By Company, China E-commerce Fraud Prevention and Detection Revenue Market Share, 2018-2023

8.5.3 By Type, China E-commerce Fraud Prevention and Detection Revenue Market Share, 2022 VS 2029

8.5.4 By Application, China E-commerce Fraud Prevention and Detection Revenue Market Share, 2022 VS 2029

8.6 Japan

8.6.1 Japan E-commerce Fraud Prevention and Detection Market Size, 2018-2029

8.6.2 By Company, Japan E-commerce Fraud Prevention and Detection Revenue Market Share, 2018-2023

8.6.3 By Type, Japan E-commerce Fraud Prevention and Detection Revenue Market Share, 2022 VS 2029

8.6.4 By Application, Japan E-commerce Fraud Prevention and Detection Revenue Market Share, 2022 VS 2029

8.7 South Korea

8.7.1 South Korea E-commerce Fraud Prevention and Detection Market Size, 2018-2029

8.7.2 By Company, South Korea E-commerce Fraud Prevention and Detection Revenue Market Share, 2018-2023

8.7.3 By Type, South Korea E-commerce Fraud Prevention and Detection Revenue Market Share, 2022 VS 2029

8.7.4 By Application, South Korea E-commerce Fraud Prevention and Detection Revenue Market Share, 2022 VS 2029

8.8 Southeast Asia

8.8.1 Southeast Asia E-commerce Fraud Prevention and Detection Market Size, 2018-2029

8.8.2 By Company, Southeast Asia E-commerce Fraud Prevention and Detection Revenue Market Share, 2018-2023

8.8.3 By Type, Southeast Asia E-commerce Fraud Prevention and Detection Revenue Market Share, 2022 VS 2029

8.8.4 By Application, Southeast Asia E-commerce Fraud Prevention and Detection Revenue Market Share, 2022 VS 2029

8.9 India

8.9.1 India E-commerce Fraud Prevention and Detection Market Size, 2018-2029

8.9.2 By Company, India E-commerce Fraud Prevention and Detection Revenue Market Share, 2018-2023

8.9.3 By Type, India E-commerce Fraud Prevention and Detection Revenue Market Share, 2022 VS 2029

8.9.4 By Application, India E-commerce Fraud Prevention and Detection Revenue Market Share, 2022 VS 2029

8.10 Middle East & Asia

8.10.1 Middle East & Asia E-commerce Fraud Prevention and Detection Market Size, 2018-2029

8.10.2 By Company, Middle East & Asia E-commerce Fraud Prevention and Detection Revenue Market Share, 2018-2023

8.10.3 By Type, Middle East & Asia E-commerce Fraud Prevention and Detection Revenue Market Share, 2022 VS 2029

8.10.4 By Application, Middle East & Asia E-commerce Fraud Prevention and Detection Revenue Market Share, 2022 VS 2029

9 Global Manufacturers Profile

9.1 ACI Worldwide Inc

9.1.1 ACI Worldwide Inc Company Information, Head Office, Market Area and Industry Position

9.1.2 ACI Worldwide Inc Company Profile and Main Business

9.1.3 ACI Worldwide Inc E-commerce Fraud Prevention and Detection Models, Specifications and Application

9.1.4 ACI Worldwide Inc E-commerce Fraud Prevention and Detection Revenue and Gross Margin, 2018-2023

9.1.5 ACI Worldwide Inc Recent Developments

9.2 Avast Software S.r.o.

9.2.1 Avast Software S.r.o. Company Information, Head Office, Market Area and Industry Position

9.2.2 Avast Software S.r.o. Company Profile and Main Business

9.2.3 Avast Software S.r.o. E-commerce Fraud Prevention and Detection Models, Specifications and Application

9.2.4 Avast Software S.r.o. E-commerce Fraud Prevention and Detection Revenue and Gross Margin, 2018-2023

9.2.5 Avast Software S.r.o. Recent Developments

9.3 Bolt Financial Inc

9.3.1 Bolt Financial Inc Company Information, Head Office, Market Area and Industry Position

9.3.2 Bolt Financial Inc Company Profile and Main Business

9.3.3 Bolt Financial Inc E-commerce Fraud Prevention and Detection Models, Specifications and Application

9.3.4 Bolt Financial Inc E-commerce Fraud Prevention and Detection Revenue and Gross Margin, 2018-2023

9.3.5 Bolt Financial Inc Recent Developments

9.4 ClearSale

9.4.1 ClearSale Company Information, Head Office, Market Area and Industry Position

9.4.2 ClearSale Company Profile and Main Business

9.4.3 ClearSale E-commerce Fraud Prevention and Detection Models, Specifications and Application

9.4.4 ClearSale E-commerce Fraud Prevention and Detection Revenue and Gross Margin, 2018-2023

9.4.5 ClearSale Recent Developments

9.5 DXC Technology Company

9.5.1 DXC Technology Company Company Information, Head Office, Market Area and Industry Position

9.5.2 DXC Technology Company Company Profile and Main Business

9.5.3 DXC Technology Company E-commerce Fraud Prevention and Detection Models, Specifications and Application

9.5.4 DXC Technology Company E-commerce Fraud Prevention and Detection Revenue and Gross Margin, 2018-2023

9.5.5 DXC Technology Company Recent Developments

9.6 Fiserv Inc

9.6.1 Fiserv Inc Company Information, Head Office, Market Area and Industry Position

9.6.2 Fiserv Inc Company Profile and Main Business

9.6.3 Fiserv Inc E-commerce Fraud Prevention and Detection Models, Specifications and Application

9.6.4 Fiserv Inc E-commerce Fraud Prevention and Detection Revenue and Gross Margin, 2018-2023

9.6.5 Fiserv Inc Recent Developments

9.7 Forter

9.7.1 Forter Company Information, Head Office, Market Area and Industry Position

9.7.2 Forter Company Profile and Main Business

9.7.3 Forter E-commerce Fraud Prevention and Detection Models, Specifications and Application

9.7.4 Forter E-commerce Fraud Prevention and Detection Revenue and Gross Margin, 2018-2023

9.7.5 Forter Recent Developments

9.8 FraudLabs Pro

9.8.1 FraudLabs Pro Company Information, Head Office, Market Area and Industry Position

9.8.2 FraudLabs Pro Company Profile and Main Business

9.8.3 FraudLabs Pro E-commerce Fraud Prevention and Detection Models, Specifications and Application

9.8.4 FraudLabs Pro E-commerce Fraud Prevention and Detection Revenue and Gross Margin, 2018-2023

9.8.5 FraudLabs Pro Recent Developments

9.9 GPayments Pty Ltd

9.9.1 GPayments Pty Ltd Company Information, Head Office, Market Area and Industry Position

9.9.2 GPayments Pty Ltd Company Profile and Main Business

9.9.3 GPayments Pty Ltd E-commerce Fraud Prevention and Detection Models, Specifications and Application

9.9.4 GPayments Pty Ltd E-commerce Fraud Prevention and Detection Revenue and Gross Margin, 2018-2023

9.9.5 GPayments Pty Ltd Recent Developments

9.10 Kount Inc

9.10.1 Kount Inc Company Information, Head Office, Market Area and Industry Position

9.10.2 Kount Inc Company Profile and Main Business

9.10.3 Kount Inc E-commerce Fraud Prevention and Detection Models, Specifications and Application

9.10.4 Kount Inc E-commerce Fraud Prevention and Detection Revenue and Gross Margin, 2018-2023

9.10.5 Kount Inc Recent Developments

9.11 LexisNexis Risk Solutions Group

9.11.1 LexisNexis Risk Solutions Group Company Information, Head Office, Market Area and Industry Position

9.11.2 LexisNexis Risk Solutions Group Company Profile and Main Business

9.11.3 LexisNexis Risk Solutions Group E-commerce Fraud Prevention and Detection Models, Specifications and Application

9.11.4 LexisNexis Risk Solutions Group E-commerce Fraud Prevention and Detection Revenue and Gross Margin, 2018-2023

9.11.5 LexisNexis Risk Solutions Group Recent Developments

9.12 Riskified

9.12.1 Riskified Company Information, Head Office, Market Area and Industry Position

9.12.2 Riskified Company Profile and Main Business

9.12.3 Riskified E-commerce Fraud Prevention and Detection Models, Specifications and Application

9.12.4 Riskified E-commerce Fraud Prevention and Detection Revenue and Gross Margin, 2018-2023

9.12.5 Riskified Recent Developments

9.13 Radial Inc

9.13.1 Radial Inc Company Information, Head Office, Market Area and Industry Position

9.13.2 Radial Inc Company Profile and Main Business

9.13.3 Radial Inc E-commerce Fraud Prevention and Detection Models, Specifications and Application

9.13.4 Radial Inc E-commerce Fraud Prevention and Detection Revenue and Gross Margin, 2018-2023

9.13.5 Radial Inc Recent Developments

9.14 RSA Security LLC.

9.14.1 RSA Security LLC. Company Information, Head Office, Market Area and Industry Position

9.14.2 RSA Security LLC. Company Profile and Main Business

9.14.3 RSA Security LLC. E-commerce Fraud Prevention and Detection Models, Specifications and Application

9.14.4 RSA Security LLC. E-commerce Fraud Prevention and Detection Revenue and Gross Margin, 2018-2023

9.14.5 RSA Security LLC. Recent Developments

9.15 SEON Technologies Ltd

9.15.1 SEON Technologies Ltd Company Information, Head Office, Market Area and Industry Position

9.15.2 SEON Technologies Ltd Company Profile and Main Business

9.15.3 SEON Technologies Ltd E-commerce Fraud Prevention and Detection Models, Specifications and Application

9.15.4 SEON Technologies Ltd E-commerce Fraud Prevention and Detection Revenue and Gross Margin, 2018-2023

9.15.5 SEON Technologies Ltd Recent Developments

9.16 Signifyd Inc

9.16.1 Signifyd Inc Company Information, Head Office, Market Area and Industry Position

9.16.2 Signifyd Inc Company Profile and Main Business

9.16.3 Signifyd Inc E-commerce Fraud Prevention and Detection Models, Specifications and Application

9.16.4 Signifyd Inc E-commerce Fraud Prevention and Detection Revenue and Gross Margin, 2018-2023

9.16.5 Signifyd Inc Recent Developments

10 Conclusion

11 Appendix

11.1 Research Methodology

11.2 Data Source

11.2.1 Secondary Sources

11.2.2 Primary Sources

11.3 Market Estimation Model

11.4 Disclaimer

Tables & Figures:
Show more
Research Methodology:
This research study involved the extensive usage of both primary and secondary data sources. The research process involved the study of various factors affecting the industry, including the government policy, market environment, competitive landscape, historical data, present trends in the market, technological innovation, upcoming technologies and the technical progress in related industry, and market risks, opportunities, market barriers and challenges. The following illustrative figure shows the market research methodology applied in this report.
E-commerce Fraud Prevention and Detection Market Size Estimation

To estimate market size and trends, we use a combination of top-down and bottom-up methods. This allows us to evaluate the market from various perspectives—by company, region, product type, and end users.

Our estimates are based on actual sales data, excluding any discounts. Segment breakdowns and market shares are calculated using weighted averages based on usage rates and average prices. Regional insights are determined by how widely a product or service is adopted in each area.

Key companies are identified through secondary sources like industry reports and company filings. We then verify revenue estimates and other key data points through primary research, including interviews with industry experts, company executives, and decision-makers.

We take into account all relevant factors that could influence the market and validate our findings with real-world input. Our final insights combine both qualitative and quantitative data to provide a well-rounded view. Please note, these estimates do not account for unexpected changes such as inflation, economic downturns, or policy shifts.

Data Source

Secondary Sources

This study draws on a wide range of secondary sources, including press releases, annual reports, non-profit organizations, industry associations, government agencies, and customs data. We also referred to reputable databases and directories such as Bloomberg, Wind Info, Hoovers, Factiva, Trading Economics, Statista, and others. Additional references include investor presentations, company filings (e.g., SEC), economic data, and documents from regulatory and industry bodies.

These sources were used to gather technical and market-focused insights, identify key players, analyze market segmentation and classification, and track major trends and developments across industries.

Market Size
  • Segmental value
  • Geographic Penetration
  • Product Adoption Rate for Different market
  • Journals, Websites, and Press Releases
  • Annual Reports and SEC Filings
  • Company Websites and Press Releases
  • Public and Paid Databases
  • Ample Market Reports Data Repository
Market Position of Top Company
  • Product Financials
  • Geographic value Mix
  • Total Company value
  • Business/Segmental value Mix
Qualitative Analysis
  • Influence Factors
  • Market Potential
  • Market Risks and Opportunities
  • Industry Trends
  • Geographical Features
  • Government Policies
  • Company Websites and Press Releases
  • Public and Paid Databases
  • Annual Reports
  • Industry Associations
  • Ample Market Reports Data Repository

Primary Sources

As part of our primary research, we interviewed a variety of stakeholders from both the supply and demand sides to gather valuable qualitative and quantitative insights.

On the supply side, we spoke with product manufacturers, competitors, industry experts, research institutions, distributors, traders, and raw material suppliers. On the demand side, we engaged with business leaders, marketing and sales heads, technology and innovation directors, supply chain executives, and end users across key organizations.

These conversations helped us better understand market segmentation, pricing, applications, leading players, supply chains, demand trends, industry outlook, and key market dynamics—including risks, opportunities, barriers, and strategic developments.

Key Data Information from Primary Sources

Primary Sources Parameters Key Data
Market Segments(by Application, by Type)
  • Value by Type
  • Status and Forecast
  • Value by Application
  • Value by Regions, Status and Forecast (2025-2031)
  • Value Market Share by Type
  • Value Growth Rate by Type
  • Value by Application
  • Percentage and Growth Rate by Application
  • Value Growth Rate and Market Share by Regions
  • Market Size Status and Forecast (2025-2031)
Total Market
  • Overall Size, Status and Forecast
  • Market Size Status and Forecast (2025-2031)
Frequently asked questions(FAQ's):
Why is the E-commerce Fraud Prevention and Detection Market trending toward high growth trajectories?
A dynamic process in the E-commerce Fraud Prevention and Detection Market is initiated by new entrants, including competitors from unrelated industries, in addition to the established players like PayPal, Forter, Signifyd, Riskified, IBM, Mastercard, Visa, ACI Worldwide, ThreatMetrix, Secure Trading, etc..
Why are some of the most well-known companies left out of the E-commerce Fraud Prevention and Detection Market study?
The E-commerce Fraud Prevention and Detection study includes a diverse group of participants, including both market leaders and up-and-comers. Contact our sales representative to receive a complete list of companies covered in the study.
Who are the significant end-users in the E-commerce Fraud Prevention and Detection Market?
The key end-users in the E-commerce Fraud Prevention and Detection Market are Digital Transactions, E-commerce, Payments, Identity Management, Financial Services
What is the expected rate of growth in the E-commerce Fraud Prevention and Detection Market?
From 2025 to 2030, the E-commerce Fraud Prevention and Detection Market is expected to grow at a compound annual growth rate of YY%, reaching a value of USD XXX Million.
What are the underlying opportunities in the E-commerce Fraud Prevention and Detection Market?
The influx of capital into the E-commerce Fraud Prevention and Detection Market, as well as the deployment of technologies designed to increase efficiency and yield high volume, are paving the way for promising market opportunities.
What are the primary data sources used to evaluate the E-commerce Fraud Prevention and Detection Market sizing?
The majority of data for the E-commerce Fraud Prevention and Detection Industry is gathered through primary sources, which include interviews and surveys with industry experts from the core and related industries involved in the supply chain. Secondary sources, such as SEC filings, annual reports, whitepapers, and press releases, are also used.