소셜 미디어 사기 탐지 시장 : 세계 산업 규모, 점유율, 동향, 기회, 예측 - 부정 종류별, 구성요소별, 솔루션별, 최종사용자별, 지역별, 경쟁별(2020-2030년)

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