Online Payment Fraud Detection Market – Global Forecast to 2025

  • July, 2019
  • Domain: ICT - Security
Pages: 74
Tables: 22
Charts: 62
Regions/Countries: 4/ 0
Companies: 9
Enquiry Hours: 10
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Widespread adoption of technologies including card-chip and new digital channels are emerging resulting in fraudsters becoming more adaptive and collaborative with the nature of financial fraud which is growing rapidly. Increasing internet penetration and digitization across emerging and undeveloped economies are driving the growth of online payment fraud detection market across the globe. Hence financial institutions, merchants, and payment service providers are adopting the artificial intelligence (AI) technology for managing their online payment fraud incidents and reducing fraud losses, thereby enhancing customer experience.

According to Infoholic Research, the global online payment fraud detection market is expected to grow at a CAGR of 14.10% during the forecast period 2019–2025. The aim of this report is to define, describe, segment, and forecast the global online payment fraud detection market on the basis of solution, mode, and regions. In addition, the report helps the venture capitalists in understanding the companies better and make well-informed decisions. The report is primarily designed to provide the company’s executives with strategically substantial competitor information, data analysis, and insights about the market, development, and implementation for an effective marketing plan.

Integration of AI in online payment fraud management solutions is one of the key factors that has influenced the implementation of online payment fraud detection solutions by several institutions. Cognitive systems help in data analysis and provide actionable insights to meet customer demands. Furthermore, increasing complexity in online frauds is forcing banks and other institutions to deploy several new fraud management solutions to reduce noise level in the system and meet the customer expectation. Machine learning, predictive analytics, and artificial intelligence technologies are in demand and major number of acquisitions in the recent years were associated with these technologies and these technologies will dominate the investment patterns in the coming years.

The global online payment fraud detection market is categorized based on the presence of diversified small and large vendors. CyberSource, Ingenico, RSA Security, and Worldpay are among the key vendors increasing their global footprint in this space. However, various vendors such as IPQualityScore and SIMILITY are competing with them in the global market by providing solutions at a competitive price with customized product offering. The market growth is fueled by key vendors entering into strategic partnerships with suppliers and third-party vendors in the ecosystem to increase the global footprint and customer service capabilities.

Fraud analytics is the fastest growing technology in the global online payment fraud detection market owing to the increasing adoption of AI in online payment fraud detection solutions. Continuous advancements in technologies is leading fraudsters to use sophisticated tools resulting in challenging environment for enterprises to prevent themselves from fraud incidents. Hence, due to the need for real-time information, vendors have introduced technology-based online payment fraud detection solutions, which are more capable and intelligent.

North America is having the largest market share in the application segment of the global online payment fraud detection market primarily due to availability of huge volumes of data being generated from multiple sources and the need to analyze these datasets for decision making. Mobile banking has become a popular way for money transactions hence, frequently targeted by the fraudsters.

The competitive landscape is a mix of established vendors and niche vendors including Ingenico, CyberSource, NuData Security, RSA Security, and Worldpay. Mergers & acquisitions, alliance formations, and strategic partnerships will boost the market growth during the forecast period. Few of the key happenings are detailed below:

  • In March 2019, Worldpay has announced its expansion in Australia and New Zealand. The first is the opening of two sales offices in Australia and the second is the expansion of its global footprint in New Zealand after obtaining a local license for acquiring card payments

  • In May 2019, Ingenico has launched LinkPlus, a simple and secure solution for businesses which handles payments over the phone


The global online payment fraud detection market is categorized based on three segments – solution, mode, and regions.

Online Payment Fraud Detection Market By Solution

  • Fraud Analytics

  • Authentication

  • Reporting and Visualization


Online Payment Fraud Detection Market By Mode

  • E-payment

  • Mobile payment

  • Card payment


Online Payment Fraud Detection Market By Regions

  • North America

  • Europe

  • APAC

  • RoW (RoW includes Middle East and Africa, Latin America; APAC includes East Asia, South Asia, South–East Asia, and Oceania)


The report comprises an analysis of vendors, which includes financial status, business units, key business priorities, SWOT, business strategies, and views.

The report covers the competitive landscape, which includes mergers & acquisitions, joint ventures & collaborations, and competitor comparison analysis.

In the vendors profile section for the companies that are privately held, the financial information and revenue of segments will be limited.
1              Executive Summary

2              Industry Outlook

2.1          Industry Snapshot

2.1.1      Industry Overview

2.1.2      Industry Trends

3              Market Snapshot

3.1          Total Addressable Market

3.2          Segmented Addressable Market

3.2.1      PEST Analysis

3.2.2      Porter’s Five Force Analysis

3.3          Related Markets

4              Market Characteristics

4.1          Market Segmentation

4.2          Market Dynamics

4.2.1      Drivers

4.2.1.1   Increasing complexity in online frauds

4.2.1.2   Growing need for digital fraud prevention

4.2.1.3   Integration of AI in online payment fraud management solutions

4.2.2      Restraints

4.2.2.1   High cost of online payment fraud solutions impacting adoption rate

4.2.2.2   Limited awareness about the online payment fraud prevention solutions

4.2.3      Opportunities

4.2.3.1   Increasing demand from emerging economies

4.2.3.2   Growing investments in cybersecurity

4.2.3.3   Implementation of real time data analytics

4.2.4      DRO – Impact Analysis

5              Online Payment Fraud Detection Market, By Solution

5.1          Overview

5.2          Fraud Analytics

5.3          Authentication

5.4          Reporting and Visualization

6              Online Payment Fraud Detection Market, By Mode

6.1          Overview

6.2          E-Payment

6.3          Mobile Payment

6.4          Card Payment

7              Online Payment Fraud Detection Market, By Region

7.1          Overview

7.2          North America

7.2.1      North America Online Payment Fraud Detection Market, By Solution

7.2.2      North America Online Payment Fraud Detection Market, By Mode

7.2.3      North America Online Payment Fraud Detection Market, By Country

7.2.4      Online Payment Fraud Detection Market in US

7.2.5      Online Payment Fraud Detection Market in Canada

7.3          Europe

7.3.1      Europe Online Payment Fraud Detection Market, By Solution

7.3.2      Europe Online Payment Fraud Detection Market, By Mode

7.3.3      Europe Online Payment Fraud Detection Market, By Country

7.3.4      Online Payment Fraud Detection Market in UK

7.3.5      Online Payment Fraud Detection Market in Netherland

7.4          APAC

7.4.1      APAC Online Payment Fraud Detection Market, By Solution

7.4.2      APAC Online Payment Fraud Detection Market, By Mode

7.4.3      APAC Online Payment Fraud Detection Market, By Country

7.4.4      Online Payment Fraud Detection Market in China

7.4.5      Online Payment Fraud Detection Market in India

7.5          RoW

7.5.1      RoW Online Payment Fraud Detection Market, By Solution

7.5.2      RoW Online Payment Fraud Detection Market, By Mode

7.5.3      RoW Online Payment Fraud Detection Market, By Region

7.5.4      Online Payment Fraud Detection Market in MEA                48

7.5.5      Online Payment Fraud Detection Market in Latin America

8              Competitive Landscape

8.1          Competitor Analysis

8.2          Product/Offerings Portfolio Analysis

8.3          SWOT Analysis

8.4          Market Developments

8.4.1      Mergers & Acquisitions (M&A)

8.4.2      Expansions

8.4.3      Product Launches & Exhibitions

9              Vendor Profiles

9.1          Accertify

9.1.1      Analyst Opinion

9.1.2      Business Analysis

9.1.2.1   Strategic snapshot

9.1.2.2   Business impact analysis

9.1.2.3   Operational snapshot

9.1.2.4   Product/Service portfolio

9.2          CyberSource

9.2.1      Analyst Opinion

9.2.2      Business Analysis

9.2.2.1   Strategic snapshot

9.2.2.2   Business impact analysis

9.2.2.3   Operational snapshot

9.2.2.4   Product/Service portfolio

9.3          Ingenico

9.3.1      Analyst Opinion

9.3.2      Business Analysis

9.3.2.1   Strategic snapshot

9.3.2.2   Business impact analysis

9.3.2.3   Operational snapshot

9.3.2.4   Product/Service portfolio

9.4          NuData Security

9.4.1      Analyst Opinion

9.4.2      Business Analysis

9.4.2.1   Strategic snapshot

9.4.2.2   Business impact analysis

9.4.2.3   Operational snapshot

9.4.2.4   Product/Service portfolio

9.5          RSA Security

9.5.1      Analyst Opinion

9.5.2      Business Analysis

9.5.2.1   Strategic snapshot

9.5.2.2   Business impact analysis

9.5.2.3   Operational snapshot

9.5.2.4   Product/Service portfolio

9.6          Worldpay

9.6.1      Analyst Opinion

9.6.2      Business Analysis

9.6.2.1   Strategic snapshot

9.6.2.2   Business impact analysis

9.6.2.3   Operational snapshot

9.6.2.4   Product/Service portfolio

9.7          IPQualityScore

9.7.1      Analyst Opinion

9.7.2      Business Analysis

9.7.2.1   Product/Service portfolio

9.8          Securonix

9.8.1      Analyst Opinion

9.8.2      Business Analysis

9.8.2.1   Strategic snapshot

9.8.2.2   Business impact analysis

9.8.2.3   Operational snapshot

9.8.2.4   Product/Service portfolio

9.9          SIMILITY

9.9.1      Analyst Opinion

9.9.2      Business Analysis

9.9.2.1   Strategic snapshot

9.9.2.2   Business impact analysis

9.9.2.3   Operational snapshot

9.9.2.4   Product/Service portfolio

10           Annexure

10.1        Report Scope

10.2        Market Definition

10.3        Research Methodology

10.3.1    Data Collation & In-house Estimation

10.3.2    Market Triangulation

10.3.3    Forecasting

10.4        Study Declarations

10.5        Abbreviations

Research Framework

Infoholic research works on a holistic 360° approach in order to deliver high quality, validated and reliable information in our market reports. The Market estimation and forecasting involves following steps:

  • Data Collation (Primary & Secondary)
  • In-house Estimation (Based on proprietary data bases and Models)
  • Market Triangulation
  • Forecasting

Market related information is congregated from both primary and secondary sources.

Primary sources

involved participants from all global stakeholders such as Solution providers, service providers, Industry associations, thought leaders etc. across levels such as CXOs, VPs and managers. Plus, our in-house industry experts having decades of industry experience contribute their consulting and advisory services.

Secondary sources

include public sources such as regulatory frameworks, government IT spending, government demographic indicators, industry association statistics, and company publications along with paid sources such as Factiva, OneSource, Bloomberg among others.

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