社群媒體詐欺偵測市場－全球產業規模、佔有率、趨勢、機會和預測，按詐欺類型、組件、解決方案、最終用戶、地區和競爭格局分類，2020-2030 年預測

2024年全球社群媒體詐欺偵測市場規模為458.9億美元，預計到2030年將以15.48%的複合年成長率成長至1,088.3億美元。社群媒體詐欺偵測涵蓋專門的系統和流程，旨在識別和遏制社群媒體平台上的詐欺活動，這些活動旨在竊取個人資訊、操縱用戶或獲取非法經濟利益。市場擴張的主要促進因素包括：詐欺造成的經濟損失不斷增加、社交媒體在全球範圍內的廣泛應用以及欺詐手段日益複雜化。

主要市場促進因素

主要市場挑戰

主要市場趨勢

目錄

第1章：產品概述

第2章：研究方法

第3章：執行概要

第4章：顧客之聲

第5章：全球社群媒體詐欺偵測市場展望

• 市場規模及預測
  • 按價值
• 市佔率及預測
  • 依詐騙類型（社群媒體網路釣魚、惡意軟體詐騙）
  • 按組件（軟體、服務）
  • 解決方案（社群媒體內容驗證解決方案、數位自衛應用程式）
  • 依最終使用者（組織、個人）分類
  • 按地區
  • 按公司（2024 年）
• 市場地圖

第6章：北美社群媒體詐欺偵測市場展望

• 市場規模及預測
• 市佔率及預測
• 北美洲：國家分析
  • 美國
  • 加拿大
  • 墨西哥

第7章：歐洲社群媒體詐欺偵測市場展望

• 市場規模及預測
• 市佔率及預測
• 歐洲：國家分析
  • 德國
  • 法國
  • 英國
  • 義大利
  • 西班牙

第8章：亞太地區社群媒體詐欺偵測市場展望

• 市場規模及預測
• 市佔率及預測
• 亞太地區：國家分析
  • 中國
  • 印度
  • 日本
  • 韓國
  • 澳洲

第9章：中東和非洲社群媒體詐欺偵測市場展望

• 市場規模及預測
• 市佔率及預測
• 中東和非洲：國家分析
  • 沙烏地阿拉伯
  • 阿拉伯聯合大公國
  • 南非

第10章：南美洲社群媒體詐欺偵測市場展望

• 市場規模及預測
• 市佔率及預測
• 南美洲：國家分析
  • 巴西
  • 哥倫比亞
  • 阿根廷

第11章：市場動態

• 促進要素
• 挑戰

第12章：市場趨勢與發展

• 併購（如有）
• 產品發布（如有）
• 最新進展

第13章：全球社群媒體詐欺偵測市場：SWOT分析

第14章：波特五力分析

• 產業競爭
• 新進入者的潛力
• 供應商議價能力
• 顧客的力量
• 替代產品的威脅

第15章：競爭格局

• 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16章：策略建議

第17章調查會社について,免責事項

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