DUBLIN--(BUSINESS WIRE)--The "Fraud Detection and Prevention Market Research Report: By Offering, Deployment Type, Enterprise Size, Vertical, Application, Threat Type - Industry Opportunity Analysis and Growth Forecast to 2024" report has been added to ResearchAndMarkets.com's offering.
The fraud detection and prevention market, which generated revenue of $20,614.4 million in 2018, is predicted to grow at a CAGR of 15.1% during 2019-2024 (forecast period).
The payment frauds category led the market in 2018, based on application, and it is projected to continue on this path till 2024. This would be a result of the increase in payment frauds as a result of the rapid adoption of electronic means for making payments.
Lucrative opportunities are being offered to the fraud detection and prevention market by the rising usage of the blockchain technology for supply chain management. Frauds are often not detected in the supply chain, as it is a complex chain of processes, involving the participation of various parts and personnel. As blockchain offers greater traceability and transparency, it allows companies to reduce the risk, which is why it would gain wide popularity in the coming years. The major advantage of blockchains are the difficulty in manipulation and cracking they pose.
The cloud-based category held the larger share in the fraud detection and prevention market, in 2018, on the basis of deployment type. This deployment allows users to monitor the security of their operations in real time and conveniently. Additionally, huge volumes of data can be stored and accessed on cloud, which makes it the preferred deployment method. Large enterprises led the market in 2018, based on enterprise size, because their business processes are more complex, which makes them vulnerable to external as well as internal threats.
In 2018, mobile-based was the larger category in the fraud detection and prevention market, based in platform, and it is also expected to witness faster growth during the forecast period. Due to the massive adoption of smartphones and a rising number of people opting for payments and social media usage via these devices, cyber criminals are increasingly targeting mobile users. During the forecast period, the highest CAGR, of 17.5%, is expected to be witnessed by the retail category, based on vertical. This is attributed to the increase in e-commerce and consumer goods sales on account of the rising disposable income.
Key Topics Covered:
Chapter 1. Research Background
1.1 Research Objectives
1.2 Market Definition
1.3 Research Scope
1.3.1 Market Segmentation by Offering
1.3.2 Market Segmentation by Type
1.3.3 Market Segmentation by Deployment Type
1.3.4 Market Segmentation by Platform
1.3.5 Market Segmentation by Enterprise Size
1.3.6 Market Segmentation by Vertical
1.3.7 Market Segmentation by Application
1.3.8 Market Segmentation by Threat Type
1.3.9 Market Segmentation by Region
1.3.10 Analysis Period
1.3.11 Market Data Reporting Unit
1.4 Key Stakeholders
Chapter 2. Research Methodology
2.1 Secondary Research
2.2 Primary Research
2.2.1 Breakdown of Primary Research Respondents
18.104.22.168 By region
22.214.171.124 By industry participant
126.96.36.199 By company type
2.3 Market Size Estimation
2.4 Data Triangulation
2.5 Assumptions for the Study
Chapter 3. Executive Summary
Chapter 4. Introduction
4.1 Definition of Market Segments
4.2 Value Chain Analysis
4.3 Market Dynamics
4.4 Porter's Five Forces Analysis
Chapter 5. Global Market Size and Forecast
5.1 By Offering
5.1.1 Software, by Type
5.1.2 Service, by Type
5.2 By Type
5.3 By Deployment Type
5.4 By Platform
5.5 By Enterprise Size
5.6 By Vertical
5.7 By Application
5.8 By Threat Type
5.9 By Region
Chapter 6. North America Market Size and Forecast
6.1 By Offering
6.2 By Type
6.3 By Deployment Type
6.4 By Platform
6.5 By Enterprise Size
6.6 By Vertical
6.7 By Application
6.8 By Threat Type
6.9 By Country
Chapter 7. Europe Market Size and Forecast
Chapter 8. APAC Market Size and Forecast
Chapter 9. LATAM Market Size and Forecast
Chapter 10. MEA Market Size and Forecast
Chapter 11. Competitive Landscape
11.1 List of Key Players
11.2 Market Share Analysis of Key Players
11.3 Strategic Developments of Key Players
11.3.1 Mergers and Acquisitions
11.3.3 Product Launches
11.3.4 Client Wins
Chapter 12. Company Profiles
12.1 International Business Machines (IBM) Corporation
12.2 NICE Systems Ltd.
12.3 Oracle Corporation
12.4 SAP SE
12.5 Fiserv Inc.
12.6 Fidelity National Information Services Inc.
12.7 Fair Isaac Corporation
12.8 Experian plc
12.9 ACI Worldwide Inc.
12.10 RELX Group plc
12.11 SAS Institute Inc.
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