Latest Update: Impact of current COVID-19 situation has been considered in this report while making the analysis.
Global Online Fraud Detection Market by Type (Cloud-based, On-premises), By Application (Web, Mobile, Other) and Region (North America, Latin America, Europe, Asia Pacific and Middle East & Africa), Forecast From 2022 To 2030-report

Global Online Fraud Detection Market by Type (Cloud-based, On-premises), By Application (Web, Mobile, Other) and Region (North America, Latin America, Europe, Asia Pacific and Middle East & Africa), Forecast From 2022 To 2030

Report ID: 255559 4200 Service & Software 377 139 Pages 4.5 (45)
                                          

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.


Global Online Fraud Detection Industry Outlook


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:

  1. ThreatMetrix
  2. iovation
  3. Distil Networks
  4. ShieldSquare
  5. Signifyd
  6. Guardian Analytics
  7. Kount
  8. LexisNexis
  9. ClearSale
  10. Pindrop
  11. Experian (41st Parameter)
  12. Whitepages
  13. Accertify
  14. F5
  15. CyberSource
  16. ACI Worldwide
  17. BioCatch
  18. CardinalCommerce (Visa)

Global Online Fraud Detection Market Overview


Highlights of The Online Fraud Detection Market Report:

  1. The market structure and projections for the coming years.
  2. Drivers, restraints, opportunities, and current trends of market.
  3. Historical data and forecast.
  4. Estimations for the forecast period 2030.
  5. Developments and trends in the market.
  6. By Type:

    1. Cloud-based
    2. On-premises
  1. By Application:

    1. Web
    2. Mobile
    3. Other
  1. Market scenario by region, sub-region, and country.
  2. Market share of the market players, company profiles, product specifications, SWOT analysis, and competitive landscape.
  3. Analysis regarding upstream raw materials, downstream demand, and current market dynamics.
  4. 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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Global Online Fraud Detection Market Statistics

8 Reasons to Buy This Report

  1. Includes a Chapter on the Impact of COVID-19 Pandemic On the Market
  2. Report Prepared After Conducting Interviews with Industry Experts & Top Designates of the Companies in the Market
  3. Implemented Robust Methodology to Prepare the Report
  4. Includes Graphs, Statistics, Flowcharts, and Infographics to Save Time
  5. Industry Growth Insights Provides 24/5 Assistance Regarding the Doubts in the Report
  6. Provides Information About the Top-winning Strategies Implemented by Industry Players.
  7. In-depth Insights On the Market Drivers, Restraints, Opportunities, and Threats
  8. 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)

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