Market Overview:
The global online fraud detection software market is expected to grow at a CAGR of 16.5% during the forecast period from 2018 to 2030. The growth of this market can be attributed to the increasing instances of online fraud and the need for organizations to protect their digital assets. The global online fraud detection software market is segmented on the basis of type, application, and region. On the basis of type, it is divided into cloud-based and on-premises software. Cloud-based software held a larger share in 2017 owing to its advantages such as low cost, scalability, and easy deployment.
Product Definition:
Online Fraud Detection Software is a type of software that is used to detect online fraud. This software can be used to help protect businesses from online fraud, as well as individual consumers. The importance of Online Fraud Detection Software lies in its ability to help protect businesses and consumers from the many different types of online fraud that exist.
Cloud-Based:
Cloud-based software is a collection of data and applications that are hosted on the cloud. It uses internet connectivity to deliver services and solutions over the internet. The service can be accessed from remote locations through various devices such as laptops, smartphones, desktop computers, etc., resulting in increasing adoption by end users for carrying out online transactions.
On-Premises:
On-premises software is a type of cloud computing software that is installed and used on the end user's system, which includes hardware components such as servers, storage devices, and network cards. The end-user can access the data from remote locations through various means such as virtual private network (VPN) or direct connection.
Application Insights:
The large enterprises segment accounted for the largest revenue share in 2017 and is anticipated to continue its dominance over the forecast period. The high penetration of online transactions and growing e-commerce industry are factors contributing to the growth of this segment. Large enterprises usually have a robust infrastructure, which makes it easier for them to adopt advanced technologies such as fraud detection software, thereby enabling them to reduce online frauds.
Medium-sized businesses (MBS) are expected register significant growth over the forecast period owing to increasing adoption of these solutions by these organizations due largely in part that MBSes lack sufficient technical resources or expertise in-house skilled personnel who can effectively implement such solutions thus resulting in opting for an OSS product from vendors like PayPal, Inc., FraudSense or Intuit where applicable. Smaller businesses/microenterprises often lack proper IT infrastructure and competent staff thus leading them towards adopting cloudbased SaaS products from providers like 1BitCERT LLC., FraudSense Ltd.
Regional Analysis:
North America accounted for the largest revenue share in 2017. The region is expected to maintain its lead over the forecast period, owing to early adoption of online fraud detection solutions by enterprises and high awareness levels among users regarding online safety. In addition, presence of major players in North America has led to increased availability of advanced technologies across various industries.
Asia Pacific is estimated to be the fastest-growing regional market from 2018 to 2030 due rising number of internet users and increasing cybercrimes across countries such as India, China, Bangladesh & Pakistan (India), Philippines & Indonesia (Indonesia), Philippines & Malaysia (Malaysia) and China. Growing penetration of mobile devices coupled with rapid development in retail industry is also anticipated to drive demand for online fraud detection software over the next eight years.
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’ data and reduce financial losses from fraud incidents
- Regulations mandating the use of fraud detection software
Scope Of The Report
Report Attributes
Report Details
Report Title
Online Fraud Detection Software Market Research Report
By Type
Cloud-Based, On-Premises
By Application
Large Enterprises (1000+Users), Medium-Sized Enterprise (499-1000 Users), Small Enterprises (1-499Users)
By Companies
Kaspersky, Emailage, Fraud Shield, TransUnion, Signifyd, ShieldSquare, XTN Lab, Forter, BehavioSec, Accertify, IBM, Easy Solutions
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
213
Number of Tables & Figures
150
Customization Available
Yes, the report can be customized as per your need.
Global Online Fraud Detection Software Market Report Segments:
The global Online Fraud Detection Software 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
Large Enterprises (1000+Users), Medium-Sized Enterprise (499-1000 Users), Small Enterprises (1-499Users)
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:
- Kaspersky
- Emailage
- Fraud Shield
- TransUnion
- Signifyd
- ShieldSquare
- XTN Lab
- Forter
- BehavioSec
- Accertify
- IBM
- Easy Solutions
Highlights of The Online Fraud Detection Software 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:
- Large Enterprises (1000+Users)
- Medium-Sized Enterprise (499-1000 Users)
- Small Enterprises (1-499Users)
- 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 Software 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.
How you may use our products:
- 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 software is a type of software that helps businesses identify and prevent fraudulent activities online. This type of software can help businesses detect and stop cybercrime, such as identity theft, online scams, and phishing attacks.
Some of the major players in the online fraud detection software market are Kaspersky, Emailage, Fraud Shield, TransUnion, Signifyd, ShieldSquare, XTN Lab, Forter, BehavioSec, Accertify, IBM, Easy Solutions.
The online fraud detection software 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 Software 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 Software Market Dynamics
4.2.1 Market Drivers
4.2.2 Market Restraints
4.2.3 Market Opportunity
4.3 Online Fraud Detection Software 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 Software 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 Software Market Size & Forecast, 2018-2028
4.5.1 Online Fraud Detection Software Market Size and Y-o-Y Growth
4.5.2 Online Fraud Detection Software Market Absolute $ Opportunity
Chapter 5 Global Online Fraud Detection Software 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 Software 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 Software 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 Software Market Size Forecast by Applications
6.2.1 Large Enterprises (1000+Users)
6.2.2 Medium-Sized Enterprise (499-1000 Users)
6.2.3 Small Enterprises (1-499Users)
6.3 Market Attractiveness Analysis by Applications
Chapter 7 Global Online Fraud Detection Software 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 Software 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 Software Analysis and Forecast
9.1 Introduction
9.2 North America Online Fraud Detection Software 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 Software 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 Software Market Size Forecast by Applications
9.10.1 Large Enterprises (1000+Users)
9.10.2 Medium-Sized Enterprise (499-1000 Users)
9.10.3 Small Enterprises (1-499Users)
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 Software Analysis and Forecast
10.1 Introduction
10.2 Europe Online Fraud Detection Software 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 Software 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 Software Market Size Forecast by Applications
10.10.1 Large Enterprises (1000+Users)
10.10.2 Medium-Sized Enterprise (499-1000 Users)
10.10.3 Small Enterprises (1-499Users)
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 Software Analysis and Forecast
11.1 Introduction
11.2 Asia Pacific Online Fraud Detection Software 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 Software 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 Software Market Size Forecast by Applications
11.10.1 Large Enterprises (1000+Users)
11.10.2 Medium-Sized Enterprise (499-1000 Users)
11.10.3 Small Enterprises (1-499Users)
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 Software Analysis and Forecast
12.1 Introduction
12.2 Latin America Online Fraud Detection Software 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 Software 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 Software Market Size Forecast by Applications
12.10.1 Large Enterprises (1000+Users)
12.10.2 Medium-Sized Enterprise (499-1000 Users)
12.10.3 Small Enterprises (1-499Users)
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 Software Analysis and Forecast
13.1 Introduction
13.2 Middle East & Africa (MEA) Online Fraud Detection Software 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 Software 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 Software Market Size Forecast by Applications
13.10.1 Large Enterprises (1000+Users)
13.10.2 Medium-Sized Enterprise (499-1000 Users)
13.10.3 Small Enterprises (1-499Users)
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 Software Market: Competitive Dashboard
14.2 Global Online Fraud Detection Software Market: Market Share Analysis, 2019
14.3 Company Profiles (Details – Overview, Financials, Developments, Strategy)
14.3.1 Kaspersky
14.3.2 Emailage
14.3.3 Fraud Shield
14.3.4 TransUnion
14.3.5 Signifyd
14.3.6 ShieldSquare
14.3.7 XTN Lab
14.3.8 Forter
14.3.9 BehavioSec
14.3.10 Accertify
14.3.11 IBM
14.3.12 Easy Solutions
