Global Web-Based Fraud Detection and Prevention Market Research Report 2023

Publication ID:

PB501241411

Publication Date:

January 2, 2024

Pages:

Publisher:

MRRPB5

Countries:

Global [1]

USD 2,900.00

IT Services [2]

Computing & Electronics [3]

Description:

The Fraud Detection and Prevention (FDP) market is a rapidly growing segment in the cybersecurity industry. FDP refers to the use of technologies and methods to detect and prevent fraudulent activities, such as cyberattacks, identity theft, and financial fraud.
The global Web-Based Fraud Detection and Prevention market is projected to reach US$ million in 2029, increasing from US$ million in 2022, with the CAGR of % during the period of 2023 to 2029.
The FDP market is witnessing significant growth due to the increasing incidence of cyberattacks and the sophistication of fraudulent activities. Organizations are facing significant financial losses and reputational damage due to fraudulent activities, leading to a higher demand for FDP solutions.

One of the key trends in the FDP market is the integration of artificial intelligence (AI) and machine learning (ML) technologies. These technologies can analyze large volumes of data and identify patterns that indicate fraudulent activities, reducing false positives and improving the accuracy of fraud detection. AI and ML algorithms can also be used to train models that can predict future fraudulent activities, enabling proactive prevention measures.

Another trend is the use of multi-layered defense strategies in FDP solutions. Rather than relying solely on a single layer of defense, organizations are adopting multi-layered defense strategies that integrate different technologies and methods to detect and prevent fraudulent activities across different layers of the IT infrastructure. This approach enhances the overall security posture of organizations by reducing the attack surface and enabling faster response times to fraudulent activities.

Furthermore, FDP solutions are increasingly being used in collaboration with other security technologies such as antivirus software, network firewalls, and behavioral analysis. This integration provides a comprehensive and integrated view of security events and incidents across different layers of the IT infrastructure, enabling organizations to respond quickly and effectively to fraudulent activities.

In terms of market outlook, the FDP market is projected to continue its strong growth trajectory in the coming years. With the increasing incidence of cyberattacks and the need for specialized expertise in detecting and preventing fraudulent activities, the demand for FDP solutions is expected to increase. As organizations prioritize cybersecurity and seek to invest in advanced security technologies, the FDP market is likely to witness further expansion.
Report Scope
This report, based on historical analysis (2018-2022) and forecast calculation (2023-2029), aims to help readers to get a comprehensive understanding of global Web-Based Fraud Detection and Prevention market with multiple angles, which provides sufficient supports to readers鈥� strategy and decision making.
By Company
IBM (US)
FICO (US)
Oracle (US)
SAS Institute (US)
BAE Systems (UK)
DXC Technology (US)
SAP (Germany)
ACI Worldwide (US)
Fiserv (US)
ThreatMetrix (US)
NICE Systems (Israel)
Experian (US)
LexisNexis (US)
Segment by Type
On-Premises
Cloud
Segment by Application
Identity Theft
Payment Fraud
Money Laundering
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
The Web-Based Fraud Detection and Prevention report covers below items:
Chapter 1: Product Basic Information (Definition, Type and Application)
Chapter 2: Global market size, regional market size. Market Opportunities and Challenges
Chapter 3: Companies鈥� Competition Patterns
Chapter 4: Product Type Analysis
Chapter 5: Product Application Analysis
Chapter 6 to 10: Country Level Value Analysis
Chapter 11: Companies鈥� Outline
Chapter 12: Market Conclusions
Chapter 13: Research Methodology and Data Source

Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.

Table Of Contents:

1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Web-Based Fraud Detection and Prevention Market Size Growth Rate by Type: 2018 VS 2022 VS 2029
1.2.2 On-Premises
1.2.3 Cloud
1.3 Market by Application
1.3.1 Global Web-Based Fraud Detection and Prevention Market Growth by Application: 2018 VS 2022 VS 2029
1.3.2 Identity Theft
1.3.3 Payment Fraud
1.3.4 Money Laundering
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Web-Based Fraud Detection and Prevention Market Perspective (2018-2029)
2.2 Web-Based Fraud Detection and Prevention Growth Trends by Region
2.2.1 Global Web-Based Fraud Detection and Prevention Market Size by Region: 2018 VS 2022 VS 2029
2.2.2 Web-Based Fraud Detection and Prevention Historic Market Size by Region (2018-2023)
2.2.3 Web-Based Fraud Detection and Prevention Forecasted Market Size by Region (2024-2029)
2.3 Web-Based Fraud Detection and Prevention Market Dynamics
2.3.1 Web-Based Fraud Detection and Prevention Industry Trends
2.3.2 Web-Based Fraud Detection and Prevention Market Drivers
2.3.3 Web-Based Fraud Detection and Prevention Market Challenges
2.3.4 Web-Based Fraud Detection and Prevention Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Web-Based Fraud Detection and Prevention Players by Revenue
3.1.1 Global Top Web-Based Fraud Detection and Prevention Players by Revenue (2018-2023)
3.1.2 Global Web-Based Fraud Detection and Prevention Revenue Market Share by Players (2018-2023)
3.2 Global Web-Based Fraud Detection and Prevention Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Web-Based Fraud Detection and Prevention Revenue
3.4 Global Web-Based Fraud Detection and Prevention Market Concentration Ratio
3.4.1 Global Web-Based Fraud Detection and Prevention Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Web-Based Fraud Detection and Prevention Revenue in 2022
3.5 Web-Based Fraud Detection and Prevention Key Players Head office and Area Served
3.6 Key Players Web-Based Fraud Detection and Prevention Product Solution and Service
3.7 Date of Enter into Web-Based Fraud Detection and Prevention Market
3.8 Mergers & Acquisitions, Expansion Plans
4 Web-Based Fraud Detection and Prevention Breakdown Data by Type
4.1 Global Web-Based Fraud Detection and Prevention Historic Market Size by Type (2018-2023)
4.2 Global Web-Based Fraud Detection and Prevention Forecasted Market Size by Type (2024-2029)
5 Web-Based Fraud Detection and Prevention Breakdown Data by Application
5.1 Global Web-Based Fraud Detection and Prevention Historic Market Size by Application (2018-2023)
5.2 Global Web-Based Fraud Detection and Prevention Forecasted Market Size by Application (2024-2029)
6 North America
6.1 North America Web-Based Fraud Detection and Prevention Market Size (2018-2029)
6.2 North America Web-Based Fraud Detection and Prevention Market Growth Rate by Country: 2018 VS 2022 VS 2029
6.3 North America Web-Based Fraud Detection and Prevention Market Size by Country (2018-2023)
6.4 North America Web-Based Fraud Detection and Prevention Market Size by Country (2024-2029)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Web-Based Fraud Detection and Prevention Market Size (2018-2029)
7.2 Europe Web-Based Fraud Detection and Prevention Market Growth Rate by Country: 2018 VS 2022 VS 2029
7.3 Europe Web-Based Fraud Detection and Prevention Market Size by Country (2018-2023)
7.4 Europe Web-Based Fraud Detection and Prevention Market Size by Country (2024-2029)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific Web-Based Fraud Detection and Prevention Market Size (2018-2029)
8.2 Asia-Pacific Web-Based Fraud Detection and Prevention Market Growth Rate by Region: 2018 VS 2022 VS 2029
8.3 Asia-Pacific Web-Based Fraud Detection and Prevention Market Size by Region (2018-2023)
8.4 Asia-Pacific Web-Based Fraud Detection and Prevention Market Size by Region (2024-2029)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America Web-Based Fraud Detection and Prevention Market Size (2018-2029)
9.2 Latin America Web-Based Fraud Detection and Prevention Market Growth Rate by Country: 2018 VS 2022 VS 2029
9.3 Latin America Web-Based Fraud Detection and Prevention Market Size by Country (2018-2023)
9.4 Latin America Web-Based Fraud Detection and Prevention Market Size by Country (2024-2029)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Web-Based Fraud Detection and Prevention Market Size (2018-2029)
10.2 Middle East & Africa Web-Based Fraud Detection and Prevention Market Growth Rate by Country: 2018 VS 2022 VS 2029
10.3 Middle East & Africa Web-Based Fraud Detection and Prevention Market Size by Country (2018-2023)
10.4 Middle East & Africa Web-Based Fraud Detection and Prevention Market Size by Country (2024-2029)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 IBM (US)
11.1.1 IBM (US) Company Detail
11.1.2 IBM (US) Business Overview
11.1.3 IBM (US) Web-Based Fraud Detection and Prevention Introduction
11.1.4 IBM (US) Revenue in Web-Based Fraud Detection and Prevention Business (2018-2023)
11.1.5 IBM (US) Recent Development
11.2 FICO (US)
11.2.1 FICO (US) Company Detail
11.2.2 FICO (US) Business Overview
11.2.3 FICO (US) Web-Based Fraud Detection and Prevention Introduction
11.2.4 FICO (US) Revenue in Web-Based Fraud Detection and Prevention Business (2018-2023)
11.2.5 FICO (US) Recent Development
11.3 Oracle (US)
11.3.1 Oracle (US) Company Detail
11.3.2 Oracle (US) Business Overview
11.3.3 Oracle (US) Web-Based Fraud Detection and Prevention Introduction
11.3.4 Oracle (US) Revenue in Web-Based Fraud Detection and Prevention Business (2018-2023)
11.3.5 Oracle (US) Recent Development
11.4 SAS Institute (US)
11.4.1 SAS Institute (US) Company Detail
11.4.2 SAS Institute (US) Business Overview
11.4.3 SAS Institute (US) Web-Based Fraud Detection and Prevention Introduction
11.4.4 SAS Institute (US) Revenue in Web-Based Fraud Detection and Prevention Business (2018-2023)
11.4.5 SAS Institute (US) Recent Development
11.5 BAE Systems (UK)
11.5.1 BAE Systems (UK) Company Detail
11.5.2 BAE Systems (UK) Business Overview
11.5.3 BAE Systems (UK) Web-Based Fraud Detection and Prevention Introduction
11.5.4 BAE Systems (UK) Revenue in Web-Based Fraud Detection and Prevention Business (2018-2023)
11.5.5 BAE Systems (UK) Recent Development
11.6 DXC Technology (US)
11.6.1 DXC Technology (US) Company Detail
11.6.2 DXC Technology (US) Business Overview
11.6.3 DXC Technology (US) Web-Based Fraud Detection and Prevention Introduction
11.6.4 DXC Technology (US) Revenue in Web-Based Fraud Detection and Prevention Business (2018-2023)
11.6.5 DXC Technology (US) Recent Development
11.7 SAP (Germany)
11.7.1 SAP (Germany) Company Detail
11.7.2 SAP (Germany) Business Overview
11.7.3 SAP (Germany) Web-Based Fraud Detection and Prevention Introduction
11.7.4 SAP (Germany) Revenue in Web-Based Fraud Detection and Prevention Business (2018-2023)
11.7.5 SAP (Germany) Recent Development
11.8 ACI Worldwide (US)
11.8.1 ACI Worldwide (US) Company Detail
11.8.2 ACI Worldwide (US) Business Overview
11.8.3 ACI Worldwide (US) Web-Based Fraud Detection and Prevention Introduction
11.8.4 ACI Worldwide (US) Revenue in Web-Based Fraud Detection and Prevention Business (2018-2023)
11.8.5 ACI Worldwide (US) Recent Development
11.9 Fiserv (US)
11.9.1 Fiserv (US) Company Detail
11.9.2 Fiserv (US) Business Overview
11.9.3 Fiserv (US) Web-Based Fraud Detection and Prevention Introduction
11.9.4 Fiserv (US) Revenue in Web-Based Fraud Detection and Prevention Business (2018-2023)
11.9.5 Fiserv (US) Recent Development
11.10 ThreatMetrix (US)
11.10.1 ThreatMetrix (US) Company Detail
11.10.2 ThreatMetrix (US) Business Overview
11.10.3 ThreatMetrix (US) Web-Based Fraud Detection and Prevention Introduction
11.10.4 ThreatMetrix (US) Revenue in Web-Based Fraud Detection and Prevention Business (2018-2023)
11.10.5 ThreatMetrix (US) Recent Development
11.11 NICE Systems (Israel)
11.11.1 NICE Systems (Israel) Company Detail
11.11.2 NICE Systems (Israel) Business Overview
11.11.3 NICE Systems (Israel) Web-Based Fraud Detection and Prevention Introduction
11.11.4 NICE Systems (Israel) Revenue in Web-Based Fraud Detection and Prevention Business (2018-2023)
11.11.5 NICE Systems (Israel) Recent Development
11.12 Experian (US)
11.12.1 Experian (US) Company Detail
11.12.2 Experian (US) Business Overview
11.12.3 Experian (US) Web-Based Fraud Detection and Prevention Introduction
11.12.4 Experian (US) Revenue in Web-Based Fraud Detection and Prevention Business (2018-2023)
11.12.5 Experian (US) Recent Development
11.13 LexisNexis (US)
11.13.1 LexisNexis (US) Company Detail
11.13.2 LexisNexis (US) Business Overview
11.13.3 LexisNexis (US) Web-Based Fraud Detection and Prevention Introduction
11.13.4 LexisNexis (US) Revenue in Web-Based Fraud Detection and Prevention Business (2018-2023)
11.13.5 LexisNexis (US) Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Disclaimer
13.3 Author Details

Companies Mentioned:

IBM (US)
FICO (US)
Oracle (US)
SAS Institute (US)
BAE Systems (UK)
DXC Technology (US)
SAP (Germany)
ACI Worldwide (US)
Fiserv (US)
ThreatMetrix (US)
NICE Systems (Israel)
Experian (US)
LexisNexis (US)

License Types:

Single User License (PDF)

This license allows for use of a publication by one person.
This person may print out a single copy of the publication.
This person can include information given in the publication in presentations and internal reports by providing full copyright credit to the publisher.
This person cannot share the publication (or any information contained therein) with any other person or persons.
Unless a Enterprise License is purchased, a Single User License must be purchased for every person that wishes to use the publication within the same organization.
Customers who infringe these license terms are liable for a Global license fee.

听

Site License (PDF)*

This license allows for use of a publication by all users within one corporate location, e.g. a regional office.
These users may print out a single copy of the publication.
These users can include information given in the publication in presentations and internal reports by providing full copyright credit to the publisher.
These users cannot share the publication (or any information contained therein) with any other person or persons outside the corporate location for which the publication is purchased.
Unless a Enterprise License is purchased, a Site User License must be purchased for every corporate location by an organization that wishes to use the publication within the same organization.
Customers who infringe these license terms are liable for a Global license fee.

听

Global License (PDF)*

This license allows for use of a publication by unlimited users within the purchasing organization e.g. all employees of a single company.
Each of these people may use the publication on any computer, and may print out the report, but may not share the publication (or any information contained therein) with any other person or persons outside of the organization.
These employees of purchasing organization can include information given in the publication in presentations and internal reports by providing full copyright credit to the publisher.

*If Applicable.

91制片厂