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Social Media Fraud Detection Market - Global Industry Size, Share, Trends, Opportunity, & Forecast, 2020-2030- Product Image
Social Media Fraud Detection Market - Global Industry Size, Share, Trends, Opportunity, & Forecast, 2020-2030- Product Image
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Social Media Fraud Detection Market - Global Industry Size, Share, Trends, Opportunity, & Forecast, 2020-2030

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  • 185 Pages
  • November 2025
  • Region: Global
  • TechSci Research
  • ID: 5978826
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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 40% 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 Profiled:

  • 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:

By Fraud Type:

  • Social Media Phishing
  • Malware Frauds

By Component:

  • Software
  • Services

By Solution:

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

By End User:

  • Organizations
  • Individuals

By Region:

  • North America
  • Europe
  • South America
  • Middle East & Africa
  • Asia Pacific

Competitive Landscape

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

Available Customizations:

With the given market data, the publisher offers customizations according to a company's specific needs. The following customization options are available for the report:
  • Detailed analysis and profiling of additional market players (up to five).

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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 Recommendations17. About the Publisher & Disclaimer

Companies Mentioned

  • 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

Table Information

Report AttributeDetails
No. of Pages185
PublishedNovember 2025
Forecast Period2024 - 2030
Estimated Market Value ( USD ) in 2024 $ 45.89 Billion
Forecasted Market Value ( USD ) by 2030 $ 108.83 Billion
Compound Annual Growth Rate15.4%
Regions CoveredGlobal
No. of Companies Mentioned10

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About the Market

In the realm of IT Security, the Social Media Fraud Detection market encompasses a variety of services and solutions designed to identify and mitigate fraudulent activities conducted through social media platforms. As social media usage has become ubiquitous, it has also become a fertile ground for various types of fraudulent schemes such as identity theft, phishing scams, fake news dissemination, bot-controlled accounts, and financial frauds. These activities not only undermine individual security but also corporate integrity and brand reputation. Social Media Fraud Detection tools typically deploy a blend of artificial intelligence, machine learning, natural language processing, and pattern recognition to monitor and analyze user behavior, account authenticity, and content validity. By detecting anomalies, validating information, and flagging suspicious activities, these systems help platforms enforce community guidelines and assist businesses in protecting their interests and customer trust. The integration of such systems is a proactive approach within IT Security measures to secure the digital interactions and presences that have become essential to contemporary social and commercial life. Prominent companies in the Social Media Fraud Detection market include Proofpoint, Inc., ZeroFOX, Socialbakers, Hootsuite Inc., and Synthesio. These enterprises offer solutions that cater to the growing need for robust social media security strategies and play a pivotal role in preserving the integrity of online interactions. Show Less Read more

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