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市场调查报告书

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1187256

全球欺诈检测和预防(FDP)市场2023-2032：市场规模（按欺诈类别,组件,应用程序,最终用户）,COVID-19影响,增长潜力,区域前景,竞争市场份额,预测

Fraud Detection and Prevention Market Size By Fraud, By Component, By Application, By End-use, Growth Potential, Regional Outlook, Competitive Market Share & Forecast, 2023 - 2032

出版日期: 2022年12月28日 | 出版商:

Global Market Insights Inc. | 英文 270 Pages | 商品交期: 2-3个工作天内

价格

简介目录图表

由于大数据、数据分析、预测建模、深度学习、云计算、机器语言和人工智能等新一代技术的引入，到 2032 年，欺诈检测和预防 (FDP) 市场的规模将呈指数级增长,预计增长。

按欺诈类型划分，外部欺诈行业预计在预测期内将显着增长。随着有组织的黑手党和犯罪团伙越来越多地参与外部欺诈，预计会出现增长，从而进一步推动企业采用 FDP 服务。此外，从应用来看，移动欺诈领域预计从 2023 年到 2032 年的复合年增长率将超过 26%。这种增长归因于网络钓鱼攻击、恶意电话应用程序、移动垃圾邮件机器人、虚假短信/电话以及从银行/支付应用程序克隆信息以洩露敏感帐户信息的病毒的增加。它被认为

本报告考察了全球欺诈检测和预防 (FDP) 市场，提供了市场概况，分析了影响市场增长的各种因素、监管环境、技术和创新格局、专利趋势以及市场规模。趋势和预测、细分按类别/地区/主要国家、竞争环境、主要公司概况等。

内容

第一章调查方法及范围

第 2 章执行摘要

第 3 章欺诈检测和预防 (FDP) 行业注意事项

行业分类
COVID-19 的影响
俄乌战争的影响
FDP 的演变
FDP 行业架构
欺诈三角与欺诈循环
工业生态系统分析
专利分析
主要新闻和举措
技术和创新情况
监管状况
影响行业的因素
- 司机
- 潜在风险和问题
增长分析
波特的分析
PESTEL 分析

第四章竞争格局

公司市场份额
主要公司的竞争分析
创新领导者的竞争分析
竞争定位矩阵
战略视角矩阵

第 5 章欺诈检测和预防 (FDP) 市场：按组件分类

主要趋势
解决方案
- 欺诈分析
- 身份/身份验证
- 治理、风险与合规 (GRC)
- 监控和报告
- 其他
服务
- 专业服务
- 託管服务

第 6 章欺诈检测和预防 (FDP) 市场：按欺诈类型分类

主要趋势
外部欺诈
内部欺诈

第 7 章欺诈检测和预防 (FDP) 市场：按应用分类

主要趋势
洗钱
信用和借记欺诈
移动欺诈
身份威胁
电子欺诈
其他

第 8 章欺诈检测和预防 (FDP) 市场：最终用户

主要趋势
银行业
保险
政府
医疗保健
电子商务
教育
其他

第 9 章欺诈检测和预防 (FDP) 市场：按地区

主要趋势
北美
欧洲
亚太地区
拉丁美洲
中东和非洲

第十章公司简介

ACI Worldwide Inc.
Arbutus Software Inc.
Avast Software s.r.o.
AVG Technologies
DXC Technology Company
ESET spol.s r.o.
Experian plc
Fiserv, Inc
First Data Corporation
Fidelity National Information Services, Inc.
FRISS
GreatHorn, Inc.
Guardian Analytics
IBM Corporation
LexisNexis Risk Solutions
SAP SE
SAS Institute Inc
SpyCloud, Inc.
Trulioo
Verifi, Inc.
Webroot Inc.

数据表

简介目录图表

Product Code: 1775

Fraud Detection and Prevention (FDP) Market is slated to grow exponentially through 2032, owing to the introduction of new generation technologies including big data, data analytics, predictive modeling, deep learning, cloud computing, machine language, and AI. Organizations have been constantly implementing modern fraud detection and prevention technologies and risk management strategies to overcome fraudulent transactions. These strategies combine significant data sources with real-time monitoring and apply predictive and adaptive analytics techniques such as ML (Machine Learning) to create a risk of fraud score. Such factors are slated to have a positive impact on the market growth.

Although, the high cost linked with fraud detection and prevention solutions is one of the critical factors slated to hinder market expansion in the future. Nevertheless, the significant surge in big data analytics and AI deployment for developing several tools and software will positively impact the overall industry growth during 2023-2032.

Key providers in the fraud detection and prevention (FDP) industry are engaging in partnerships, mergers, and acquisitions and launching new products to stay competitive in the overall market. For instance, IBM recently launched a new generation mainframe with AI built into the chip to equip financial firms with the ability to conduct fraud analysis of 100% of their transactions in real-time.

Overall, the fraud detection and prevention (FDP) market is segmented in terms of fraud, component, application, end-use, and region.

Considering the fraud, the external fraud segment is anticipated to grow substantially throughout the estimated timeframe. The growth can be attributed to the increasing involvement of organized mafia and criminal groups in external frauds, further driving the adoption of FDP services among enterprises.

Based on the component, the service segment is expected to demonstrate growth by 2032 end, owing to the constant threat that organizations face for being exposed to substantial financial losses. According to the Association of Certified Fraud Examiners (ACFE), enterprises lose around 5% of financial revenue due to fraudulent behavior.

Considering the application, the mobile fraud segment is expected to exhibit over 26% CAGR between 2023-2032. The growth can be attributed to the rising phishing attacks, malicious phone apps, mobile spam bots, fake SMS/calls, and viruses that clone information from bank & payment applications to reveal sensitive account information.

By end-use, the banking segment will depict over 27% CAGR from 2023 to 2032. The growth can be attributed to the sector's increased vulnerability to identity theft and breaches of confidential financial information.

Regionally, the North America FDP services market is anticipated to demonstrate a high growth rate during the estimated timeframe. Increased dependency on online payment platforms and rising penetration of mobile phones resulting in payment frauds, identity thefts, and other fraudulent activities will boost the market expansion in the future.

Chapter 1 Methodology & Scope

1.1 Scope & definitions
1.2 Base estimates and calculations
1.3 Forecast calculations
1.4 Data Sources
- 1.4.1 Primary
- 1.4.2 Secondary
  - 1.4.2.1 Paid sources
  - 1.4.2.2 Public sources

Chapter 2 Executive Summary

2.1 Fraud detection & prevention industry 360 degree synopsis, 2018 - 2032
2.2 Business trends
- 2.2.1 Total addressable market (TAM) trends, 2023 - 2032
2.3 Regional trends
2.4 Component trends
2.5 Fraud type trends
2.6 Application trends
2.7 End-use trends

Chapter 3 Fraud Detection & Prevention Industry Insights

3.1 Introduction
3.2 Industry segmentation
3.3 Impact of COVID-19 outbreak
- 3.3.1 North America
- 3.3.2 Europe
- 3.3.3 Asia Pacific
- 3.3.4 Latin America
- 3.3.5 MEA
3.4 Russia-Ukraine war impact
3.5 Evolution of FDP
3.6 FDP industry architecture
3.7 Fraud triangle and fraud cycle
3.8 Industry ecosystem analysis
- 3.8.1 FDP software providers
- 3.8.2 FDP service providers
- 3.8.3 Fraud prevention hardware providers
- 3.8.4 System integrators
- 3.8.5 End users
- 3.8.6 Distribution channel
- 3.8.7 Profit margin analysis
- 3.8.8 Vendor matrix
3.9 Patent analysis
3.10 Key news & initiatives
3.11 Technology & innovation landscape
- 3.11.1 Rule based fraud detection
- 3.11.2 Machine learning and deep learning
- 3.11.3 Fraud analytics
- 3.11.4 Blockchain technology
3.12 Regulatory landscape
- 3.12.1 Data protection regulations
  - 3.12.1.1 Federal Information Security Management Act (FISMA)
  - 3.12.1.2 Health Insurance Portability and Accountability Act (HIPAA)
  - 3.12.1.3 Payment Card Industry Data Security Standard (PCI DSS)
  - 3.12.1.4 The General Data Protection Regulation (GDPR)
  - 3.12.1.5 The Gramm-Leach-Bliley Act (GLB) Act of 1999
  - 3.12.1.6 The Sarbanes-Oxley Act of 2002
- 3.12.2 Banking regulations
  - 3.12.2.1 Alternative Investment Fund Managers Directive (AIFMD)
  - 3.12.2.2 Fraud Detection & Prevention Directive 2015/849/EU (FDPD)
  - 3.12.2.3 Basel-III Regulations
  - 3.12.2.4 Dodd-Frank Wall Street Reform and Consumer Protection Act
  - 3.12.2.5 European Market Infrastructure Regulation (EMIR)
  - 3.12.2.6 Foreign Account Tax Compliance Act (FATCA)
  - 3.12.2.7 Indian Contract Act 1872
  - 3.12.2.8 Markets in Financial Instruments Directive (MiFID)
  - 3.12.2.9 Prevention of Money Laundering Act
3.13 Industry impact forces
- 3.13.1 Growth drivers
  - 3.13.1.1 Increasingly stringent penalties on non-compliance with FDP regulations
  - 3.13.1.2 Rise in revenue loss due to numerous financial frauds
  - 3.13.1.3 Growing use of electronic and digital payment methods
  - 3.13.1.4 Increase in the frequency of cyberattacks and frauds
  - 3.13.1.5 Rapid surge in deployment of AI and big data analytics
- 3.13.2 Industry pitfalls & challenges
  - 3.13.2.1 Limited presence of skilled professionals
  - 3.13.2.2 Huge cost associated with FDP solutions
3.14 Growth potential analysis
3.15 Porter's analysis
- 3.15.1 Supplier power
- 3.15.2 Buyer power
- 3.15.3 Threat of new entrants
- 3.15.4 Threat of substitutes
- 3.15.5 Industry rivalry
3.16 PESTEL analysis
- 3.16.1 Political
- 3.16.2 Economic
- 3.16.3 Social
- 3.16.4 Technological
- 3.16.5 Environmental
- 3.16.6 Legal

Chapter 4 Competitive Landscape

4.1 Introduction
4.2 Company market share, 2022
4.3 Competitive analysis of major market players, 2022
- 4.3.1 DXC Technology Company
- 4.3.2 Experian plc
- 4.3.3 Fidelity National Information Services, Inc.
- 4.3.4 Fiserv, Inc
- 4.3.5 IBM Corporation
- 4.3.6 LexisNexis Risk Solutions
- 4.3.7 SAP SE
4.4 Competitive analysis of innovation leaders, 2022
- 4.4.1 ACI Worldwide Inc.
- 4.4.2 Avast Software s.r.o.
- 4.4.3 ESET spol.s r.o.
- 4.4.4 SAS Institute Inc
- 4.4.5 Webroot Inc.
4.5 Competitive positioning matrix
4.6 Strategic outlook matrix

Chapter 5 Fraud Detection & Prevention Market, By Component

5.1 Key trends, by component
5.2 Solution
- 5.2.1 Market estimates and forecast, 2018 - 2032
- 5.2.2 Fraud analytics
  - 5.2.2.1 Market estimates and forecast, 2018 - 2032
- 5.2.3 Identity and authentication
  - 5.2.3.1 Market estimates and forecast, 2018 - 2032
- 5.2.4 Governance, Risk and Compliance (GRC)
  - 5.2.4.1 Market estimates and forecast, 2018 - 2032
- 5.2.5 Monitoring and reporting
  - 5.2.5.1 Market estimates and forecast, 2018 - 2032
- 5.2.6 Others
  - 5.2.6.1 Market estimates and forecast, 2018 - 2032
5.3 Service
- 5.3.1 Market estimates and forecast, 2018 - 2032
- 5.3.2 Professional service
  - 5.3.2.1 Market estimates and forecast, 2018 - 2032
- 5.3.3 Managed service
  - 5.3.3.1 Market estimates and forecast, 2018 - 2032

Chapter 6 Fraud Detection & Prevention Market, By Fraud Type

6.1 Key trends, by fraud type
6.2 External fraud
- 6.2.1 Market estimates and forecast, 2018 - 2032
6.3 Internal fraud
- 6.3.1 Market estimates and forecast, 2018 - 2032

Chapter 7 Fraud Detection & Prevention Market, By Application

7.1 Key trends, by application
7.2 Money laundering
- 7.2.1 Market estimates and forecast, 2018 - 2032
7.3 Credit and debit fraud
- 7.3.1 Market estimates and forecast, 2018 - 2032
7.4 Mobile fraud
- 7.4.1 Market estimates and forecast, 2018 - 2032
7.5 Identity threat
- 7.5.1 Market estimates and forecast, 2018 - 2032
7.6 Electronic fraud
- 7.6.1 Market estimates and forecast, 2018 - 2032
7.7 Others
- 7.7.1 Market estimates and forecast, 2018 - 2032