Market Overview:
The global online fraud detection market is expected to grow at a CAGR of 16.5% during the forecast period from 2018 to 2030. The growth in this market can be attributed to the increasing incidence of online fraud and the need for organizations to protect their digital assets. The cloud-based segment is expected to grow at a higher CAGR than the on-premises segment during the forecast period. This can be attributed to the growing trend of cloud adoption and its benefits such as scalability, flexibility, and cost-effectiveness. North America is expected to hold the largest share of this market in 2018, followed by Europe and Asia Pacific.
Product Definition:
Online Fraud Detection is the process of identifying and preventing fraudulent activities that occur over the internet. This can include activities such as identity theft, credit card fraud, and spamming. The importance of online fraud detection is that it helps protect businesses and consumers from losing money or personal information to criminals.
Cloud-based:
Cloud-based solutions are gaining popularity in the online fraud detection market owing to benefits such as low cost and scalability. The technology helps organizations reduce their security footprint by moving data to a cloud platform. It also offers benefits such as on-demand availability of computing resources, easy maintenance of records, and lower power consumption.
On-premises:
On-premises solutions are software and hardware installed at the organization's headquarters to provide services such as email, file sharing, instant messaging, web hosting and database servers. The on-premises solution is used for fraud detection by capturing data from various sources such as social media websites through cookies or other means.
Application Insights:
The other application segment includes fraud detection applications in retail, banking and financial services, healthcare and life sciences, e-commerce, public sector & civil society organizations. The growing adoption of online transactions for various activities such as banking and financial services payment processing; e-commerce sales; travel reservations and ticketing; hotel bookings; radio/TV subscriptions; medical prescriptions among others is expected to drive the demand for online fraud detection solutions over the forecast period.
The web application segment accounted for more than 50% share of the overall revenue in 2017 due to high usage rate of internet based applications across various industries such as BFSI, IT & telecom among others. Furthermore, rising penetration of smartphones coupled with increasing awareness regarding online safety is expected to further propel growth over the forecast period.
Regional Analysis:
North America accounted for the largest market share in 2017. The region is expected to maintain its lead over the forecast period owing to early adoption of technologies and presence of prominent players. Asia Pacific is estimated to be the fastest-growing regional market from 2018 to 2030 due to increasing online crime rates, growing smartphone penetration, and rising demand for consumer protection services. Moreover, developing economies such as India are anticipated to witness strong growth over the coming years on account of rapid digitalization and increased internet usage.
The European region also held a significant revenue share in 2017 owing with early adoption of advanced technologies by fraudsters; however, it is expected that this trend will change soon as fraudsters are adopting new techniques avoiding detection by current systems thus making it challenging for security solutions providers there offering solutions against online frauds.
Growth Factors:
- Increasing adoption of online and mobile banking by consumers
- Proliferation of connected devices and the Internet of Things (IoT)
- The increasing sophistication of cyber-attacks
- The need for organizations to protect their customers and themselves from financial losses
- Regulations mandating the use of fraud detection solutions
Scope Of The Report
Report Attributes
Report Details
Report Title
Online Fraud Detection Market Research Report
By Type
Cloud-based, On-premises
By Application
Web, Mobile, Other
By Companies
ThreatMetrix, iovation, Distil Networks, ShieldSquare, Signifyd, Guardian Analytics, Kount, LexisNexis, ClearSale, Pindrop, Experian (41st Parameter), Whitepages, Accertify, F5, CyberSource, ACI Worldwide, BioCatch, CardinalCommerce (Visa)
Regions Covered
North America, Europe, APAC, Latin America, MEA
Base Year
2021
Historical Year
2019 to 2020 (Data from 2010 can be provided as per availability)
Forecast Year
2030
Number of Pages
139
Number of Tables & Figures
98
Customization Available
Yes, the report can be customized as per your need.
Global Online Fraud Detection Market Report Segments:
The global Online Fraud Detection market is segmented on the basis of:
Types
Cloud-based, On-premises
The product segment provides information about the market share of each product and the respective CAGR during the forecast period. It lays out information about the product pricing parameters, trends, and profits that provides in-depth insights of the market. Furthermore, it discusses latest product developments & innovation in the market.
Applications
Web, Mobile, Other
The application segment fragments various applications of the product and provides information on the market share and growth rate of each application segment. It discusses the potential future applications of the products and driving and restraining factors of each application segment.
Some of the companies that are profiled in this report are:
- ThreatMetrix
- iovation
- Distil Networks
- ShieldSquare
- Signifyd
- Guardian Analytics
- Kount
- LexisNexis
- ClearSale
- Pindrop
- Experian (41st Parameter)
- Whitepages
- Accertify
- F5
- CyberSource
- ACI Worldwide
- BioCatch
- CardinalCommerce (Visa)
Highlights of The Online Fraud Detection Market Report:
- The market structure and projections for the coming years.
- Drivers, restraints, opportunities, and current trends of market.
- Historical data and forecast.
- Estimations for the forecast period 2030.
- Developments and trends in the market.
- By Type:
- Cloud-based
- On-premises
- By Application:
- Web
- Mobile
- Other
- Market scenario by region, sub-region, and country.
- Market share of the market players, company profiles, product specifications, SWOT analysis, and competitive landscape.
- Analysis regarding upstream raw materials, downstream demand, and current market dynamics.
- Government Policies, Macro & Micro economic factors are also included in the report.
We have studied the Online Fraud Detection Market in 360 degrees via. both primary & secondary research methodologies. This helped us in building an understanding of the current market dynamics, supply-demand gap, pricing trends, product preferences, consumer patterns & so on. The findings were further validated through primary research with industry experts & opinion leaders across countries. The data is further compiled & validated through various market estimation & data validation methodologies. Further, we also have our in-house data forecasting model to predict market growth up to 2030.
Regional Analysis
- North America
- Europe
- Asia Pacific
- Middle East & Africa
- Latin America
Note: A country of choice can be added in the report at no extra cost. If more than one country needs to be added, the research quote will vary accordingly.
The geographical analysis part of the report provides information about the product sales in terms of volume and revenue in regions. It lays out potential opportunities for the new entrants, emerging players, and major players in the region. The regional analysis is done after considering the socio-economic factors and government regulations of the countries in the regions.
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- Correctly Positioning New Products
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8 Reasons to Buy This Report
- Includes a Chapter on the Impact of COVID-19 Pandemic On the Market
- Report Prepared After Conducting Interviews with Industry Experts & Top Designates of the Companies in the Market
- Implemented Robust Methodology to Prepare the Report
- Includes Graphs, Statistics, Flowcharts, and Infographics to Save Time
- Industry Growth Insights Provides 24/5 Assistance Regarding the Doubts in the Report
- Provides Information About the Top-winning Strategies Implemented by Industry Players.
- In-depth Insights On the Market Drivers, Restraints, Opportunities, and Threats
- Customization of the Report Available
Frequently Asked Questions?
Online fraud detection is the process of identifying and preventing fraudulent activities on the internet. This can include detecting and stopping online scams, protecting against phishing attacks, and blocking malicious content.
Some of the major players in the online fraud detection market are ThreatMetrix, iovation, Distil Networks, ShieldSquare, Signifyd, Guardian Analytics, Kount, LexisNexis, ClearSale, Pindrop, Experian (41st Parameter), Whitepages, Accertify, F5, CyberSource, ACI Worldwide, BioCatch, CardinalCommerce (Visa).
The online fraud detection market is expected to grow at a compound annual growth rate of 16.5%.
Chapter 1 Executive Summary
Chapter 2 Assumptions and Acronyms Used
Chapter 3 Research Methodology
Chapter 4 Online Fraud Detection Market Overview 4.1 Introduction 4.1.1 Market Taxonomy 4.1.2 Market Definition 4.1.3 Macro-Economic Factors Impacting the Market Growth 4.2 Online Fraud Detection Market Dynamics 4.2.1 Market Drivers 4.2.2 Market Restraints 4.2.3 Market Opportunity 4.3 Online Fraud Detection Market - Supply Chain Analysis 4.3.1 List of Key Suppliers 4.3.2 List of Key Distributors 4.3.3 List of Key Consumers 4.4 Key Forces Shaping the Online Fraud Detection Market 4.4.1 Bargaining Power of Suppliers 4.4.2 Bargaining Power of Buyers 4.4.3 Threat of Substitution 4.4.4 Threat of New Entrants 4.4.5 Competitive Rivalry 4.5 Global Online Fraud Detection Market Size & Forecast, 2018-2028 4.5.1 Online Fraud Detection Market Size and Y-o-Y Growth 4.5.2 Online Fraud Detection Market Absolute $ Opportunity
Chapter 5 Global Online Fraud Detection Market Analysis and Forecast by Type
5.1 Introduction
5.1.1 Key Market Trends & Growth Opportunities by Type
5.1.2 Basis Point Share (BPS) Analysis by Type
5.1.3 Absolute $ Opportunity Assessment by Type
5.2 Online Fraud Detection Market Size Forecast by Type
5.2.1 Cloud-based
5.2.2 On-premises
5.3 Market Attractiveness Analysis by Type
Chapter 6 Global Online Fraud Detection Market Analysis and Forecast by Applications
6.1 Introduction
6.1.1 Key Market Trends & Growth Opportunities by Applications
6.1.2 Basis Point Share (BPS) Analysis by Applications
6.1.3 Absolute $ Opportunity Assessment by Applications
6.2 Online Fraud Detection Market Size Forecast by Applications
6.2.1 Web
6.2.2 Mobile
6.2.3 Other
6.3 Market Attractiveness Analysis by Applications
Chapter 7 Global Online Fraud Detection Market Analysis and Forecast by Region
7.1 Introduction
7.1.1 Key Market Trends & Growth Opportunities by Region
7.1.2 Basis Point Share (BPS) Analysis by Region
7.1.3 Absolute $ Opportunity Assessment by Region
7.2 Online Fraud Detection Market Size Forecast by Region
7.2.1 North America
7.2.2 Europe
7.2.3 Asia Pacific
7.2.4 Latin America
7.2.5 Middle East & Africa (MEA)
7.3 Market Attractiveness Analysis by Region
Chapter 8 Coronavirus Disease (COVID-19) Impact
8.1 Introduction
8.2 Current & Future Impact Analysis
8.3 Economic Impact Analysis
8.4 Government Policies
8.5 Investment Scenario
Chapter 9 North America Online Fraud Detection Analysis and Forecast
9.1 Introduction
9.2 North America Online Fraud Detection Market Size Forecast by Country
9.2.1 U.S.
9.2.2 Canada
9.3 Basis Point Share (BPS) Analysis by Country
9.4 Absolute $ Opportunity Assessment by Country
9.5 Market Attractiveness Analysis by Country
9.6 North America Online Fraud Detection Market Size Forecast by Type
9.6.1 Cloud-based
9.6.2 On-premises
9.7 Basis Point Share (BPS) Analysis by Type
9.8 Absolute $ Opportunity Assessment by Type
9.9 Market Attractiveness Analysis by Type
9.10 North America Online Fraud Detection Market Size Forecast by Applications
9.10.1 Web
9.10.2 Mobile
9.10.3 Other
9.11 Basis Point Share (BPS) Analysis by Applications
9.12 Absolute $ Opportunity Assessment by Applications
9.13 Market Attractiveness Analysis by Applications
Chapter 10 Europe Online Fraud Detection Analysis and Forecast
10.1 Introduction
10.2 Europe Online Fraud Detection Market Size Forecast by Country
10.2.1 Germany
10.2.2 France
10.2.3 Italy
10.2.4 U.K.
10.2.5 Spain
10.2.6 Russia
10.2.7 Rest of Europe
10.3 Basis Point Share (BPS) Analysis by Country
10.4 Absolute $ Opportunity Assessment by Country
10.5 Market Attractiveness Analysis by Country
10.6 Europe Online Fraud Detection Market Size Forecast by Type
10.6.1 Cloud-based
10.6.2 On-premises
10.7 Basis Point Share (BPS) Analysis by Type
10.8 Absolute $ Opportunity Assessment by Type
10.9 Market Attractiveness Analysis by Type
10.10 Europe Online Fraud Detection Market Size Forecast by Applications
10.10.1 Web
10.10.2 Mobile
10.10.3 Other
10.11 Basis Point Share (BPS) Analysis by Applications
10.12 Absolute $ Opportunity Assessment by Applications
10.13 Market Attractiveness Analysis by Applications
Chapter 11 Asia Pacific Online Fraud Detection Analysis and Forecast
11.1 Introduction
11.2 Asia Pacific Online Fraud Detection Market Size Forecast by Country
11.2.1 China
11.2.2 Japan
11.2.3 South Korea
11.2.4 India
11.2.5 Australia
11.2.6 South East Asia (SEA)
11.2.7 Rest of Asia Pacific (APAC)
11.3 Basis Point Share (BPS) Analysis by Country
11.4 Absolute $ Opportunity Assessment by Country
11.5 Market Attractiveness Analysis by Country
11.6 Asia Pacific Online Fraud Detection Market Size Forecast by Type
11.6.1 Cloud-based
11.6.2 On-premises
11.7 Basis Point Share (BPS) Analysis by Type
11.8 Absolute $ Opportunity Assessment by Type
11.9 Market Attractiveness Analysis by Type
11.10 Asia Pacific Online Fraud Detection Market Size Forecast by Applications
11.10.1 Web
11.10.2 Mobile
11.10.3 Other
11.11 Basis Point Share (BPS) Analysis by Applications
11.12 Absolute $ Opportunity Assessment by Applications
11.13 Market Attractiveness Analysis by Applications
Chapter 12 Latin America Online Fraud Detection Analysis and Forecast
12.1 Introduction
12.2 Latin America Online Fraud Detection Market Size Forecast by Country
12.2.1 Brazil
12.2.2 Mexico
12.2.3 Rest of Latin America (LATAM)
12.3 Basis Point Share (BPS) Analysis by Country
12.4 Absolute $ Opportunity Assessment by Country
12.5 Market Attractiveness Analysis by Country
12.6 Latin America Online Fraud Detection Market Size Forecast by Type
12.6.1 Cloud-based
12.6.2 On-premises
12.7 Basis Point Share (BPS) Analysis by Type
12.8 Absolute $ Opportunity Assessment by Type
12.9 Market Attractiveness Analysis by Type
12.10 Latin America Online Fraud Detection Market Size Forecast by Applications
12.10.1 Web
12.10.2 Mobile
12.10.3 Other
12.11 Basis Point Share (BPS) Analysis by Applications
12.12 Absolute $ Opportunity Assessment by Applications
12.13 Market Attractiveness Analysis by Applications
Chapter 13 Middle East & Africa (MEA) Online Fraud Detection Analysis and Forecast
13.1 Introduction
13.2 Middle East & Africa (MEA) Online Fraud Detection Market Size Forecast by Country
13.2.1 Saudi Arabia
13.2.2 South Africa
13.2.3 UAE
13.2.4 Rest of Middle East & Africa (MEA)
13.3 Basis Point Share (BPS) Analysis by Country
13.4 Absolute $ Opportunity Assessment by Country
13.5 Market Attractiveness Analysis by Country
13.6 Middle East & Africa (MEA) Online Fraud Detection Market Size Forecast by Type
13.6.1 Cloud-based
13.6.2 On-premises
13.7 Basis Point Share (BPS) Analysis by Type
13.8 Absolute $ Opportunity Assessment by Type
13.9 Market Attractiveness Analysis by Type
13.10 Middle East & Africa (MEA) Online Fraud Detection Market Size Forecast by Applications
13.10.1 Web
13.10.2 Mobile
13.10.3 Other
13.11 Basis Point Share (BPS) Analysis by Applications
13.12 Absolute $ Opportunity Assessment by Applications
13.13 Market Attractiveness Analysis by Applications
Chapter 14 Competition Landscape
14.1 Online Fraud Detection Market: Competitive Dashboard
14.2 Global Online Fraud Detection Market: Market Share Analysis, 2019
14.3 Company Profiles (Details – Overview, Financials, Developments, Strategy)
14.3.1 ThreatMetrix
14.3.2 iovation
14.3.3 Distil Networks
14.3.4 ShieldSquare
14.3.5 Signifyd
14.3.6 Guardian Analytics
14.3.7 Kount
14.3.8 LexisNexis
14.3.9 ClearSale
14.3.10 Pindrop
14.3.11 Experian (41st Parameter)
14.3.12 Whitepages
14.3.13 Accertify
14.3.14 F5
14.3.15 CyberSource
14.3.16 ACI Worldwide
14.3.17 BioCatch
14.3.18 CardinalCommerce (Visa)