Online Payment Fraud Detection Market – Global Forecast to 2025

Date: July 8, 2019
Pages: 74
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US$ 3,500.00
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Publisher: Infoholic Research
Report type: Strategic Report
Delivery: E-mail Delivery (PDF), Hard Copy Mail Delivery
ID: O743985D4B2EN
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Online Payment Fraud Detection Market – Global Forecast to 2025
Global Online Payment Fraud Detection Market – Drivers, Restraints, Opportunities, Trends, and Forecast up to 2025

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.
  • Solution includes Fraud Analytics, Authentication, and Reporting and Visualization
  • Mode includes E-payment, Mobile payment, and Card payment
  • Regions include North America, Europe, APAC, and 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
  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


TABLES

TABLE 1 GLOBAL ONLINE PAYMENT FRAUD DETECTION MARKET VALUE, BY SOLUTION, 2018–2025 ($BILLION)
TABLE 2 GLOBAL ONLINE PAYMENT FRAUD DETECTION MARKET VALUE, BY MODE, 2018–2025 ($BILLION)
TABLE 3 GLOBAL ONLINE PAYMENT FRAUD DETECTION MARKET VALUE, BY REGION, 2018–2025 ($BILLION)
TABLE 4 NORTH AMERICA ONLINE PAYMENT FRAUD DETECTION MARKET VALUE, BY SOLUTION, 2018–2025 ($BILLION)
TABLE 5 NORTH AMERICA ONLINE PAYMENT FRAUD DETECTION MARKET VALUE, BY MODE, 2018–2025 ($BILLION)
TABLE 6 NORTH AMERICA ONLINE PAYMENT FRAUD DETECTION MARKET VALUE, BY COUNTRY, 2018–2025 ($BILLION)
TABLE 7 EUROPE ONLINE PAYMENT FRAUD DETECTION MARKET VALUE, BY SOLUTION, 2018–2025 ($BILLION)
TABLE 8 EUROPE ONLINE PAYMENT FRAUD DETECTION MARKET VALUE, BY MODE, 2018–2025 ($BILLION)
TABLE 9 EUROPE ONLINE PAYMENT FRAUD DETECTION MARKET VALUE, BY COUNTRY, 2018–2025 ($BILLION)
TABLE 10 APAC ONLINE PAYMENT FRAUD DETECTION MARKET VALUE, BY SOLUTION, 2018–2025 ($BILLION)
TABLE 11 APAC ONLINE PAYMENT FRAUD DETECTION MARKET VALUE, BY MODE, 2018–2025 ($BILLION)
TABLE 12 APAC ONLINE PAYMENT FRAUD DETECTION MARKET VALUE, BY COUNTRY, 2018–2025 ($BILLION)
TABLE 13 ROW ONLINE PAYMENT FRAUD DETECTION MARKET VALUE, BY SOLUTION, 2018–2025 ($BILLION)
TABLE 14 ROW ONLINE PAYMENT FRAUD DETECTION MARKET VALUE, BY MODE, 2018–2025 ($BILLION)
TABLE 15 ROW ONLINE PAYMENT FRAUD DETECTION MARKET VALUE, BY COUNTRY, 2018–2025 ($BILLION)
TABLE 16 PRODUCT/OFFERINGS PORTFOLIO ANALYSIS: ONLINE PAYMENT FRAUD DETECTION MARKET
TABLE 17 MERGER & ACQUISITION, 2017–2019
TABLE 18 EXPANSIONS, 2019
TABLE 19 PRODUCT LAUNCHES & EXHIBITIONS, 2018 AND 2019
TABLE 20 ACCERTIFY: OVERVIEW
TABLE 21 ACCERTIFY: STRATEGIC SNAPSHOT
TABLE 22 ACCERTIFY: BUSINESS OPPORTUNITIES AND OUTLOOK
TABLE 23 ACCERTIFY: OPERATIONAL SNAPSHOT
TABLE 24 ACCERTIFY: PRODUCT/SERVICE PORTFOLIO
TABLE 25 CYBERSOURCE: OVERVIEW
TABLE 26 CYBERSOURCE: STRATEGIC SNAPSHOT
TABLE 27 CYBERSOURCE: BUSINESS OPPORTUNITIES AND OUTLOOK
TABLE 28 CYBERSOURCE: OPERATIONAL SNAPSHOT
TABLE 29 CYBERSOURCE: PRODUCT/SERVICE PORTFOLIO
TABLE 30 INGENICO: OVERVIEW
TABLE 31 INGENICO: STRATEGIC SNAPSHOT
TABLE 32 INGENICO: BUSINESS OPPORTUNITIES AND OUTLOOK
TABLE 33 INGENICO: OPERATIONAL SNAPSHOT
TABLE 34 INGENICO: PRODUCT/SERVICE PORTFOLIO
TABLE 35 NUDATA SECURITY: OVERVIEW
TABLE 36 NUDATA SECURITY: STRATEGIC SNAPSHOT
TABLE 37 NUDATA SECURITY: BUSINESS OPPORTUNITIES AND OUTLOOK
TABLE 38 NUDATA SECURITY: OPERATIONAL SNAPSHOT
TABLE 39 NUDATA SECURITY: PRODUCT/SERVICE PORTFOLIO
TABLE 40 RSA SECURITY: OVERVIEW
TABLE 41 RSA SECURITY: STRATEGIC SNAPSHOT
TABLE 42 RSA SECURITY: BUSINESS OPPORTUNITIES AND OUTLOOK
TABLE 43 RSA SECURITY: OPERATIONAL SNAPSHOT
TABLE 44 RSA SECURITY: PRODUCT/SERVICE PORTFOLIO
TABLE 45 WORLDPAY: OVERVIEW
TABLE 46 WORLDPAY: STRATEGIC SNAPSHOT
TABLE 47 WORLDPAY: BUSINESS OPPORTUNITIES AND OUTLOOK
TABLE 48 WORLDPAY: OPERATIONAL SNAPSHOT
TABLE 49 WORLDPAY: PRODUCT/SERVICE PORTFOLIO
TABLE 50 IPQUALITYSCORE: OVERVIEW
TABLE 51 IPQUALITYSCORE: PRODUCT/SERVICE PORTFOLIO
TABLE 52 SECURONIX: OVERVIEW
TABLE 53 SECURONIX: STRATEGIC SNAPSHOT
TABLE 54 SECURONIX: BUSINESS OPPORTUNITIES AND OUTLOOK
TABLE 55 SECURONIX: OPERATIONAL SNAPSHOT
TABLE 56 SECURONIX: PRODUCT/SERVICE PORTFOLIO
TABLE 57 SIMILITY: OVERVIEW
TABLE 58 SIMILITY: STRATEGIC SNAPSHOT
TABLE 59 SIMILITY: BUSINESS OPPORTUNITIES AND OUTLOOK
TABLE 60 SIMILITY: OPERATIONAL SNAPSHOT
TABLE 61 SIMILITY: PRODUCT/SERVICE PORTFOLIO
TABLE 62 RESEARCH METHODOLOGY OF GLOBAL ONLINE PAYMENT FRAUD DETECTION MARKET: TRIANGULATION


CHARTS

CHART 1 GLOBAL ONLINE PAYMENT FRAUD DETECTION MARKET SIZE AND GROWTH RATE, 2019–2025
CHART 2 GLOBAL ONLINE PAYMENT FRAUD DETECTION MARKET SHARE BY REGION, 2018
CHART 3 GLOBAL ONLINE PAYMENT FRAUD DETECTION MARKET
CHART 4 GLOBAL ONLINE PAYMENT FRAUD DETECTION MARKET REVENUE, 2018–2025 ($BILLION)
CHART 5 PEST ANALYSIS: GLOBAL ONLINE PAYMENT FRAUD DETECTION MARKET
CHART 6 PORTER’S 5 FORCE ANALYSIS: GLOBAL ONLINE PAYMENT FRAUD DETECTION MARKET
CHART 7 SEGMENTATION: GLOBAL ONLINE PAYMENT FRAUD DETECTION MARKET
CHART 8 MARKET DYNAMICS – DRIVERS, RESTRAINTS & OPPORTUNITIES
CHART 9 DRO – IMPACT ANALYSIS: GLOBAL ONLINE PAYMENT FRAUD DETECTION MARKET
CHART 10 GLOBAL ONLINE PAYMENT FRAUD DETECTION MARKET VALUE, BY SOLUTION, 2018–2025 ($BILLION)
CHART 11 GLOBAL ONLINE PAYMENT FRAUD DETECTION MARKET, BY FRAUD ANALYTICS, 2018–2025 ($BILLION)
CHART 12 GLOBAL ONLINE PAYMENT FRAUD DETECTION MARKET, BY AUTHENTICATION, 2018–2025 ($BILLION)
CHART 13 GLOBAL ONLINE PAYMENT FRAUD DETECTION MARKET, BY REPORTING AND VISUALIZATION, 2018–2025 ($BILLION)
CHART 14 GLOBAL ONLINE PAYMENT FRAUD DETECTION MARKET VALUE, BY MODE, 2018–2025 ($BILLION)
CHART 15 GLOBAL ONLINE PAYMENT FRAUD DETECTION MARKET VALUE, BY E-PAYMENT, 2018–2025 ($BILLION)
CHART 16 GLOBAL ONLINE PAYMENT FRAUD DETECTION MARKET VALUE, BY MOBILE PAYMENT, 2018–2025 ($BILLION)
CHART 17 GLOBAL ONLINE PAYMENT FRAUD DETECTION MARKET VALUE, BY CARD PAYMENT, 2018–2025 ($BILLION)
CHART 18 GLOBAL ONLINE PAYMENT FRAUD DETECTION MARKET VALUE, BY REGION, 2018–2025 ($BILLION)
CHART 19 GLOBAL ONLINE PAYMENT FRAUD DETECTION MARKET VALUE, BY NORTH AMERICA, 2018–2025 ($BILLION)
CHART 20 GLOBAL ONLINE PAYMENT FRAUD DETECTION MARKET VALUE, BY EUROPE, 2018–2025 ($BILLION)
CHART 21 GLOBAL ONLINE PAYMENT FRAUD DETECTION MARKET VALUE, BY APAC, 2018–2025 ($BILLION)
CHART 22 GLOBAL ONLINE PAYMENT FRAUD DETECTION MARKET VALUE, BY ROW, 2018–2025 ($BILLION)
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