社群媒体诈欺侦测市场－全球产业规模、份额、趋势、机会和预测，按诈欺类型、组件、解决方案、最终用户、地区和竞争格局划分，2020-2030 年预测

2024年全球社群媒体诈欺侦测市场规模为458.9亿美元，预计到2030年将以15.48%的复合年增长率成长至1,088.3亿美元。社群媒体诈欺侦测涵盖专门的系统和流程，旨在识别和遏制社群媒体平台上的诈欺活动，这些活动旨在窃取个人资讯、操纵用户或获取非法经济利益。市场扩张的主要驱动因素包括：诈欺造成的经济损失不断增加、社交媒体在全球范围内的广泛应用以及欺诈手段日益复杂化。

主要市场驱动因素

主要市场挑战

主要市场趋势

目录

第一章：产品概述

第二章：研究方法

第三章：执行概要

第四章：顾客之声

第五章：全球社群媒体诈欺侦测市场展望

• 市场规模及预测
  • 按价值
• 市占率及预测
  • 依诈骗类型（社群媒体网路钓鱼、恶意软体诈骗）
  • 按组件（软体、服务）
  • 解决方案（社群媒体内容验证解决方案、数位自卫应用程式）
  • 依最终使用者（组织、个人）划分
  • 按地区
  • 按公司（2024 年）
• 市场地图

第六章：北美社群媒体诈欺侦测市场展望

• 市场规模及预测
• 市占率及预测
• 北美洲：国家分析
  • 美国
  • 加拿大
  • 墨西哥

第七章：欧洲社群媒体诈欺侦测市场展望

• 市场规模及预测
• 市占率及预测
• 欧洲：国家分析
  • 德国
  • 法国
  • 英国
  • 义大利
  • 西班牙

第八章：亚太地区社群媒体诈欺侦测市场展望

• 市场规模及预测
• 市占率及预测
• 亚太地区：国家分析
  • 中国
  • 印度
  • 日本
  • 韩国
  • 澳洲

第九章：中东和非洲社群媒体诈欺侦测市场展望

• 市场规模及预测
• 市占率及预测
• 中东和非洲：国家分析
  • 沙乌地阿拉伯
  • 阿联酋
  • 南非

第十章：南美洲社群媒体诈欺侦测市场展望

• 市场规模及预测
• 市占率及预测
• 南美洲：国家分析
  • 巴西
  • 哥伦比亚
  • 阿根廷

第十一章：市场动态

• 司机
• 挑战

第十二章：市场趋势与发展

• 併购（如有）
• 产品发布（如有）
• 最新进展

第十三章：全球社群媒体诈欺侦测市场：SWOT分析

第十四章：波特五力分析

• 产业竞争
• 新进入者的潜力
• 供应商议价能力
• 顾客的力量
• 替代产品的威胁

第十五章：竞争格局

• SHIELD AI Technologies Pte. Ltd.
• Gcom, Inc.
• Alphabet Inc.
• Microsoft Corporation
• Oracle Corporation
• NICE Ltd.
• SAS Institute Inc.
• IBM Corporation
• Human Security, Inc.
• GROUP-IB Global Private Limited

第十六章：策略建议

第17章调查会社について・免责事项

The Global Social Media Fraud Detection Market, valued at USD 45.89 Billion in 2024, is projected to experience a CAGR of 15.48% to reach USD 108.83 Billion by 2030. Social media fraud detection encompasses specialized systems and processes designed to identify and mitigate deceptive activities on social media platforms, aimed at stealing personal information, manipulating users, or securing illicit financial gain. Market expansion is primarily driven by escalating financial losses due to fraud, the pervasive global adoption of social media, and the increasing sophistication of fraudulent techniques.

Key Market Drivers

The pervasive proliferation of social media platform usage significantly contributes to the expansion of the social media fraud detection market by broadening the attack surface available to malicious actors. With billions of users actively engaging across platforms, the sheer volume of potential targets for identity theft, phishing, and impersonation schemes escalates. According to We Are Social UK, in January 2024, "Digital 2024: 5 billion social media users" reported that active social media user identities surpassed the 5 billion mark, equivalent to 62.3 percent of the world's population, underscoring the immense ecosystem requiring constant vigilance against fraudulent activities. This widespread adoption creates a critical demand for robust detection solutions.

Key Market Challenges

The continuous requirement to balance effective fraud detection with user privacy concerns and the complexities of evolving regulatory landscapes presents a notable challenge for the Global Social Media Fraud Detection Market. Robust fraud detection systems often rely on extensive data collection and analysis, which increasingly conflicts with heightened user privacy expectations and stringent data protection regulations. The dynamic nature of these global and regional privacy frameworks necessitates significant resources for ongoing compliance

Key Market Trends

Behavioral Biometrics and User Pattern Analysis represents a critical trend in enhancing fraud detection capabilities by focusing on intrinsic user behaviors. This involves continuously analyzing subtle actions such as keystroke dynamics, mouse movements, and navigation patterns to establish a legitimate user profile. According to the Association of Certified Fraud Examiners (ACFE), in February 2024, their 2024 Anti-Fraud Technology Benchmarking Report indicated that biometrics usage in fraud prevention efforts increased by 14% since 2019, with 4% of respondents utilizing this technology. This allows for the real-time identification of deviations from established norms, signaling potential fraudulent activity even if traditional authentication credentials are breached.

Key Market Players

• SHIELD AI Technologies Pte. Ltd.
• Gcom, Inc.
• Alphabet Inc.
• Microsoft Corporation
• Oracle Corporation
• NICE Ltd.
• SAS Institute Inc.
• IBM Corporation
• Human Security, Inc.
• GROUP-IB Global Private Limited

Report Scope:

In this report, the Global Social Media Fraud Detection Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:

Social Media Fraud Detection Market, By Fraud Type:

• Social Media Phishing
• Malware Frauds

Social Media Fraud Detection Market, By Component:

• Software
• Services

Social Media Fraud Detection Market, By Solution:

• Social Media Content Verification Solution
• Digital Self-Defense Application

Social Media Fraud Detection Market, By End User:

• Organizations
• Individuals

Social Media Fraud Detection Market, By Region:

• North America
  • United States
  • Canada
  • Mexico
• Europe
  • France
  • United Kingdom
  • Italy
  • Germany
  • Spain
• South America
  • Brazil
  • Argentina
  • Colombia
• Middle East & Africa
  • South Africa
  • Saudi Arabia
  • UAE
• Asia Pacific
  • China
  • India
  • Japan
  • Australia
  • South Korea

Competitive Landscape

Company Profiles: Detailed analysis of the major companies presents in the Global Social Media Fraud Detection Market.

Available Customizations:

Global Social Media Fraud Detection Market report with the given market data, TechSci Research offers customizations according to a company's specific needs. The following customization options are available for the report:

Company Information

• Detailed analysis and profiling of additional market players (up to five).

Table of Contents

1. Product Overview

• 1.1. Market Definition
• 1.2. Scope of the Market
  • 1.2.1. Markets Covered
  • 1.2.2. Years Considered for Study
  • 1.2.3. Key Market Segmentations

2. Research Methodology

• 2.1. Objective of the Study
• 2.2. Baseline Methodology
• 2.3. Key Industry Partners
• 2.4. Major Association and Secondary Sources
• 2.5. Forecasting Methodology
• 2.6. Data Triangulation & Validation
• 2.7. Assumptions and Limitations

3. Executive Summary

• 3.1. Overview of the Market
• 3.2. Overview of Key Market Segmentations
• 3.3. Overview of Key Market Players
• 3.4. Overview of Key Regions/Countries
• 3.5. Overview of Market Drivers, Challenges, Trends

4. Voice of Customer

5. Global Social Media Fraud Detection Market Outlook

• 5.1. Market Size & Forecast
  • 5.1.1. By Value
• 5.2. Market Share & Forecast
  • 5.2.1. By Fraud Type (Social Media Phishing, Malware Frauds)
  • 5.2.2. By Component (Software, Services)
  • 5.2.3. By Solution (Social Media Content Verification Solution, Digital Self-Defense Application)
  • 5.2.4. By End User (Organizations, Individuals)
  • 5.2.5. By Region
  • 5.2.6. By Company (2024)
• 5.3. Market Map

6. North America Social Media Fraud Detection Market Outlook

• 6.1. Market Size & Forecast
  • 6.1.1. By Value
• 6.2. Market Share & Forecast
  • 6.2.1. By Fraud Type
  • 6.2.2. By Component
  • 6.2.3. By Solution
  • 6.2.4. By End User
  • 6.2.5. By Country
• 6.3. North America: Country Analysis
  • 6.3.1. United States Social Media Fraud Detection Market Outlook
    • 6.3.1.1. Market Size & Forecast
      • 6.3.1.1.1. By Value
    • 6.3.1.2. Market Share & Forecast
      • 6.3.1.2.1. By Fraud Type
      • 6.3.1.2.2. By Component
      • 6.3.1.2.3. By Solution
      • 6.3.1.2.4. By End User
  • 6.3.2. Canada Social Media Fraud Detection Market Outlook
    • 6.3.2.1. Market Size & Forecast
      • 6.3.2.1.1. By Value
    • 6.3.2.2. Market Share & Forecast
      • 6.3.2.2.1. By Fraud Type
      • 6.3.2.2.2. By Component
      • 6.3.2.2.3. By Solution
      • 6.3.2.2.4. By End User
  • 6.3.3. Mexico Social Media Fraud Detection Market Outlook
    • 6.3.3.1. Market Size & Forecast
      • 6.3.3.1.1. By Value
    • 6.3.3.2. Market Share & Forecast
      • 6.3.3.2.1. By Fraud Type
      • 6.3.3.2.2. By Component
      • 6.3.3.2.3. By Solution
      • 6.3.3.2.4. By End User

7. Europe Social Media Fraud Detection Market Outlook

• 7.1. Market Size & Forecast
  • 7.1.1. By Value
• 7.2. Market Share & Forecast
  • 7.2.1. By Fraud Type
  • 7.2.2. By Component
  • 7.2.3. By Solution
  • 7.2.4. By End User
  • 7.2.5. By Country
• 7.3. Europe: Country Analysis
  • 7.3.1. Germany Social Media Fraud Detection Market Outlook
    • 7.3.1.1. Market Size & Forecast
      • 7.3.1.1.1. By Value
    • 7.3.1.2. Market Share & Forecast
      • 7.3.1.2.1. By Fraud Type
      • 7.3.1.2.2. By Component
      • 7.3.1.2.3. By Solution
      • 7.3.1.2.4. By End User
  • 7.3.2. France Social Media Fraud Detection Market Outlook
    • 7.3.2.1. Market Size & Forecast
      • 7.3.2.1.1. By Value
    • 7.3.2.2. Market Share & Forecast
      • 7.3.2.2.1. By Fraud Type
      • 7.3.2.2.2. By Component
      • 7.3.2.2.3. By Solution
      • 7.3.2.2.4. By End User
  • 7.3.3. United Kingdom Social Media Fraud Detection Market Outlook
    • 7.3.3.1. Market Size & Forecast
      • 7.3.3.1.1. By Value
    • 7.3.3.2. Market Share & Forecast
      • 7.3.3.2.1. By Fraud Type
      • 7.3.3.2.2. By Component
      • 7.3.3.2.3. By Solution
      • 7.3.3.2.4. By End User
  • 7.3.4. Italy Social Media Fraud Detection Market Outlook
    • 7.3.4.1. Market Size & Forecast
      • 7.3.4.1.1. By Value
    • 7.3.4.2. Market Share & Forecast
      • 7.3.4.2.1. By Fraud Type
      • 7.3.4.2.2. By Component
      • 7.3.4.2.3. By Solution
      • 7.3.4.2.4. By End User
  • 7.3.5. Spain Social Media Fraud Detection Market Outlook
    • 7.3.5.1. Market Size & Forecast
      • 7.3.5.1.1. By Value
    • 7.3.5.2. Market Share & Forecast
      • 7.3.5.2.1. By Fraud Type
      • 7.3.5.2.2. By Component
      • 7.3.5.2.3. By Solution
      • 7.3.5.2.4. By End User

8. Asia Pacific Social Media Fraud Detection Market Outlook

• 8.1. Market Size & Forecast
  • 8.1.1. By Value
• 8.2. Market Share & Forecast
  • 8.2.1. By Fraud Type
  • 8.2.2. By Component
  • 8.2.3. By Solution
  • 8.2.4. By End User
  • 8.2.5. By Country
• 8.3. Asia Pacific: Country Analysis
  • 8.3.1. China Social Media Fraud Detection Market Outlook
    • 8.3.1.1. Market Size & Forecast
      • 8.3.1.1.1. By Value
    • 8.3.1.2. Market Share & Forecast
      • 8.3.1.2.1. By Fraud Type
      • 8.3.1.2.2. By Component
      • 8.3.1.2.3. By Solution
      • 8.3.1.2.4. By End User
  • 8.3.2. India Social Media Fraud Detection Market Outlook
    • 8.3.2.1. Market Size & Forecast
      • 8.3.2.1.1. By Value
    • 8.3.2.2. Market Share & Forecast
      • 8.3.2.2.1. By Fraud Type
      • 8.3.2.2.2. By Component
      • 8.3.2.2.3. By Solution
      • 8.3.2.2.4. By End User
  • 8.3.3. Japan Social Media Fraud Detection Market Outlook
    • 8.3.3.1. Market Size & Forecast
      • 8.3.3.1.1. By Value
    • 8.3.3.2. Market Share & Forecast
      • 8.3.3.2.1. By Fraud Type
      • 8.3.3.2.2. By Component
      • 8.3.3.2.3. By Solution
      • 8.3.3.2.4. By End User
  • 8.3.4. South Korea Social Media Fraud Detection Market Outlook
    • 8.3.4.1. Market Size & Forecast
      • 8.3.4.1.1. By Value
    • 8.3.4.2. Market Share & Forecast
      • 8.3.4.2.1. By Fraud Type
      • 8.3.4.2.2. By Component
      • 8.3.4.2.3. By Solution
      • 8.3.4.2.4. By End User
  • 8.3.5. Australia Social Media Fraud Detection Market Outlook
    • 8.3.5.1. Market Size & Forecast
      • 8.3.5.1.1. By Value
    • 8.3.5.2. Market Share & Forecast
      • 8.3.5.2.1. By Fraud Type
      • 8.3.5.2.2. By Component
      • 8.3.5.2.3. By Solution
      • 8.3.5.2.4. By End User

9. Middle East & Africa Social Media Fraud Detection Market Outlook

• 9.1. Market Size & Forecast
  • 9.1.1. By Value
• 9.2. Market Share & Forecast
  • 9.2.1. By Fraud Type
  • 9.2.2. By Component
  • 9.2.3. By Solution
  • 9.2.4. By End User
  • 9.2.5. By Country
• 9.3. Middle East & Africa: Country Analysis
  • 9.3.1. Saudi Arabia Social Media Fraud Detection Market Outlook
    • 9.3.1.1. Market Size & Forecast
      • 9.3.1.1.1. By Value
    • 9.3.1.2. Market Share & Forecast
      • 9.3.1.2.1. By Fraud Type
      • 9.3.1.2.2. By Component
      • 9.3.1.2.3. By Solution
      • 9.3.1.2.4. By End User
  • 9.3.2. UAE Social Media Fraud Detection Market Outlook
    • 9.3.2.1. Market Size & Forecast
      • 9.3.2.1.1. By Value
    • 9.3.2.2. Market Share & Forecast
      • 9.3.2.2.1. By Fraud Type
      • 9.3.2.2.2. By Component
      • 9.3.2.2.3. By Solution
      • 9.3.2.2.4. By End User
  • 9.3.3. South Africa Social Media Fraud Detection Market Outlook
    • 9.3.3.1. Market Size & Forecast
      • 9.3.3.1.1. By Value
    • 9.3.3.2. Market Share & Forecast
      • 9.3.3.2.1. By Fraud Type
      • 9.3.3.2.2. By Component
      • 9.3.3.2.3. By Solution
      • 9.3.3.2.4. By End User

10. South America Social Media Fraud Detection Market Outlook

• 10.1. Market Size & Forecast
  • 10.1.1. By Value
• 10.2. Market Share & Forecast
  • 10.2.1. By Fraud Type
  • 10.2.2. By Component
  • 10.2.3. By Solution
  • 10.2.4. By End User
  • 10.2.5. By Country
• 10.3. South America: Country Analysis
  • 10.3.1. Brazil Social Media Fraud Detection Market Outlook
    • 10.3.1.1. Market Size & Forecast
      • 10.3.1.1.1. By Value
    • 10.3.1.2. Market Share & Forecast
      • 10.3.1.2.1. By Fraud Type
      • 10.3.1.2.2. By Component
      • 10.3.1.2.3. By Solution
      • 10.3.1.2.4. By End User
  • 10.3.2. Colombia Social Media Fraud Detection Market Outlook
    • 10.3.2.1. Market Size & Forecast
      • 10.3.2.1.1. By Value
    • 10.3.2.2. Market Share & Forecast
      • 10.3.2.2.1. By Fraud Type
      • 10.3.2.2.2. By Component
      • 10.3.2.2.3. By Solution
      • 10.3.2.2.4. By End User
  • 10.3.3. Argentina Social Media Fraud Detection Market Outlook
    • 10.3.3.1. Market Size & Forecast
      • 10.3.3.1.1. By Value
    • 10.3.3.2. Market Share & Forecast
      • 10.3.3.2.1. By Fraud Type
      • 10.3.3.2.2. By Component
      • 10.3.3.2.3. By Solution
      • 10.3.3.2.4. By End User

11. Market Dynamics

• 11.1. Drivers
• 11.2. Challenges

12. Market Trends & Developments

• 12.1. Merger & Acquisition (If Any)
• 12.2. Product Launches (If Any)
• 12.3. Recent Developments

13. Global Social Media Fraud Detection Market: SWOT Analysis

14. Porter's Five Forces Analysis

• 14.1. Competition in the Industry
• 14.2. Potential of New Entrants
• 14.3. Power of Suppliers
• 14.4. Power of Customers
• 14.5. Threat of Substitute Products

15. Competitive Landscape

• 15.1. SHIELD AI Technologies Pte. Ltd.
  • 15.1.1. Business Overview
  • 15.1.2. Products & Services
  • 15.1.3. Recent Developments
  • 15.1.4. Key Personnel
  • 15.1.5. SWOT Analysis
• 15.2. Gcom, Inc.
• 15.3. Alphabet Inc.
• 15.4. Microsoft Corporation
• 15.5. Oracle Corporation
• 15.6. NICE Ltd.
• 15.7. SAS Institute Inc.
• 15.8. IBM Corporation
• 15.9. Human Security, Inc.
• 15.10. GROUP-IB Global Private Limited

16. Strategic Recommendations

17. About Us & Disclaimer