Global Mobile-Based Fraud Detection and Prevention Market Research Report 2024

Publication ID:

PB506247840

Publication Date:

June 21, 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 Mobile-Based Fraud Detection and Prevention market was valued at US$ million in 2023 and is anticipated to reach US$ million by 2030, witnessing a CAGR of % during the forecast period 2024-2030.
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.
This report aims to provide a comprehensive presentation of the global market for Mobile-Based Fraud Detection and Prevention, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Mobile-Based Fraud Detection and Prevention.
Report Scope
The Mobile-Based Fraud Detection and Prevention market size, estimations, and forecasts are provided in terms of revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global Mobile-Based Fraud Detection and Prevention market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the Mobile-Based Fraud Detection and Prevention companies, new entrants, and industry chain related companies in this market with information on the revenues, sales volume, and average price for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
Market Segmentation
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
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by Application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of Mobile-Based Fraud Detection and Prevention companies鈥� competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.

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 Mobile-Based Fraud Detection and Prevention Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 On-Premises
1.2.3 Cloud
1.3 Market by Application
1.3.1 Global Mobile-Based Fraud Detection and Prevention Market Growth by Application: 2019 VS 2023 VS 2030
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 Mobile-Based Fraud Detection and Prevention Market Perspective (2019-2030)
2.2 Mobile-Based Fraud Detection and Prevention Growth Trends by Region
2.2.1 Global Mobile-Based Fraud Detection and Prevention Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 Mobile-Based Fraud Detection and Prevention Historic Market Size by Region (2019-2024)
2.2.3 Mobile-Based Fraud Detection and Prevention Forecasted Market Size by Region (2025-2030)
2.3 Mobile-Based Fraud Detection and Prevention Market Dynamics
2.3.1 Mobile-Based Fraud Detection and Prevention Industry Trends
2.3.2 Mobile-Based Fraud Detection and Prevention Market Drivers
2.3.3 Mobile-Based Fraud Detection and Prevention Market Challenges
2.3.4 Mobile-Based Fraud Detection and Prevention Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Mobile-Based Fraud Detection and Prevention Players by Revenue
3.1.1 Global Top Mobile-Based Fraud Detection and Prevention Players by Revenue (2019-2024)
3.1.2 Global Mobile-Based Fraud Detection and Prevention Revenue Market Share by Players (2019-2024)
3.2 Global Mobile-Based Fraud Detection and Prevention Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Mobile-Based Fraud Detection and Prevention Revenue
3.4 Global Mobile-Based Fraud Detection and Prevention Market Concentration Ratio
3.4.1 Global Mobile-Based Fraud Detection and Prevention Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Mobile-Based Fraud Detection and Prevention Revenue in 2023
3.5 Mobile-Based Fraud Detection and Prevention Key Players Head office and Area Served
3.6 Key Players Mobile-Based Fraud Detection and Prevention Product Solution and Service
3.7 Date of Enter into Mobile-Based Fraud Detection and Prevention Market
3.8 Mergers & Acquisitions, Expansion Plans
4 Mobile-Based Fraud Detection and Prevention Breakdown Data by Type
4.1 Global Mobile-Based Fraud Detection and Prevention Historic Market Size by Type (2019-2024)
4.2 Global Mobile-Based Fraud Detection and Prevention Forecasted Market Size by Type (2025-2030)
5 Mobile-Based Fraud Detection and Prevention Breakdown Data by Application
5.1 Global Mobile-Based Fraud Detection and Prevention Historic Market Size by Application (2019-2024)
5.2 Global Mobile-Based Fraud Detection and Prevention Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America Mobile-Based Fraud Detection and Prevention Market Size (2019-2030)
6.2 North America Mobile-Based Fraud Detection and Prevention Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America Mobile-Based Fraud Detection and Prevention Market Size by Country (2019-2024)
6.4 North America Mobile-Based Fraud Detection and Prevention Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Mobile-Based Fraud Detection and Prevention Market Size (2019-2030)
7.2 Europe Mobile-Based Fraud Detection and Prevention Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe Mobile-Based Fraud Detection and Prevention Market Size by Country (2019-2024)
7.4 Europe Mobile-Based Fraud Detection and Prevention Market Size by Country (2025-2030)
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 Mobile-Based Fraud Detection and Prevention Market Size (2019-2030)
8.2 Asia-Pacific Mobile-Based Fraud Detection and Prevention Market Growth Rate by Region: 2019 VS 2023 VS 2030
8.3 Asia-Pacific Mobile-Based Fraud Detection and Prevention Market Size by Region (2019-2024)
8.4 Asia-Pacific Mobile-Based Fraud Detection and Prevention Market Size by Region (2025-2030)
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 Mobile-Based Fraud Detection and Prevention Market Size (2019-2030)
9.2 Latin America Mobile-Based Fraud Detection and Prevention Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America Mobile-Based Fraud Detection and Prevention Market Size by Country (2019-2024)
9.4 Latin America Mobile-Based Fraud Detection and Prevention Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Mobile-Based Fraud Detection and Prevention Market Size (2019-2030)
10.2 Middle East & Africa Mobile-Based Fraud Detection and Prevention Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa Mobile-Based Fraud Detection and Prevention Market Size by Country (2019-2024)
10.4 Middle East & Africa Mobile-Based Fraud Detection and Prevention Market Size by Country (2025-2030)
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) Mobile-Based Fraud Detection and Prevention Introduction
11.1.4 IBM (US) Revenue in Mobile-Based Fraud Detection and Prevention Business (2019-2024)
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) Mobile-Based Fraud Detection and Prevention Introduction
11.2.4 FICO (US) Revenue in Mobile-Based Fraud Detection and Prevention Business (2019-2024)
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) Mobile-Based Fraud Detection and Prevention Introduction
11.3.4 Oracle (US) Revenue in Mobile-Based Fraud Detection and Prevention Business (2019-2024)
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) Mobile-Based Fraud Detection and Prevention Introduction
11.4.4 SAS Institute (US) Revenue in Mobile-Based Fraud Detection and Prevention Business (2019-2024)
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) Mobile-Based Fraud Detection and Prevention Introduction
11.5.4 BAE Systems (UK) Revenue in Mobile-Based Fraud Detection and Prevention Business (2019-2024)
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) Mobile-Based Fraud Detection and Prevention Introduction
11.6.4 DXC Technology (US) Revenue in Mobile-Based Fraud Detection and Prevention Business (2019-2024)
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) Mobile-Based Fraud Detection and Prevention Introduction
11.7.4 SAP (Germany) Revenue in Mobile-Based Fraud Detection and Prevention Business (2019-2024)
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) Mobile-Based Fraud Detection and Prevention Introduction
11.8.4 ACI Worldwide (US) Revenue in Mobile-Based Fraud Detection and Prevention Business (2019-2024)
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) Mobile-Based Fraud Detection and Prevention Introduction
11.9.4 Fiserv (US) Revenue in Mobile-Based Fraud Detection and Prevention Business (2019-2024)
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) Mobile-Based Fraud Detection and Prevention Introduction
11.10.4 ThreatMetrix (US) Revenue in Mobile-Based Fraud Detection and Prevention Business (2019-2024)
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) Mobile-Based Fraud Detection and Prevention Introduction
11.11.4 NICE Systems (Israel) Revenue in Mobile-Based Fraud Detection and Prevention Business (2019-2024)
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) Mobile-Based Fraud Detection and Prevention Introduction
11.12.4 Experian (US) Revenue in Mobile-Based Fraud Detection and Prevention Business (2019-2024)
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) Mobile-Based Fraud Detection and Prevention Introduction
11.13.4 LexisNexis (US) Revenue in Mobile-Based Fraud Detection and Prevention Business (2019-2024)
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)

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