Picture
SEARCH
What are you looking for?
Need help finding what you are looking for? Contact Us
Compare

PUBLISHER: Bizwit Research & Consulting LLP | PRODUCT CODE: 1755650

Cover Image

PUBLISHER: Bizwit Research & Consulting LLP | PRODUCT CODE: 1755650

Global Fake Image Detection Market Size study & Forecast, by Offering, Deployment Mode, Application, and Regional Forecasts 2025-2035

PUBLISHED:
PAGES: 285 Pages
DELIVERY TIME: 2-3 business days
SELECT AN OPTION
Unprintable PDF (Single User License)
USD 4950
Printable PDF (Enterprise License)
USD 6250

Add to Cart

The Global Fake Image Detection Market is valued approximately at USD 1.01 billion in 2024 and is projected to expand at an explosive CAGR of over 42.20% throughout the forecast period 2025-2035. As the digital ecosystem becomes increasingly saturated with synthetic content, the demand for advanced fake image detection tools has surged dramatically across various sectors. Fake image detection, powered by deep learning and forensic algorithms, serves as a powerful defense mechanism against image-based deception and misinformation, especially in contexts where visual content integrity is mission-critical. Organizations, governments, and tech platforms are deploying these tools to uphold digital trust, ensure brand authenticity, and comply with stricter content moderation regulations. The proliferation of generative AI technologies, such as GANs (Generative Adversarial Networks), has exponentially increased the sophistication of manipulated images, prompting an urgent need for next-gen detection solutions that leverage both real-time processing and contextual analysis.

A key propellant driving this market is the escalating abuse of visual media on social platforms, digital publications, and fraudulent campaigns. Whether it's tampered medical scans, doctored financial documents, or altered identity proofs, enterprises are being compelled to invest in robust AI-driven detection software to safeguard reputations and operational integrity. For instance, in sectors such as BFSI, deepfake forgeries can lead to large-scale identity fraud, prompting financial institutions to integrate image authentication protocols into their digital onboarding and compliance processes. Likewise, law enforcement and forensic departments are incorporating fake image detection in evidence validation workflows to ensure judiciary reliability. On the flip side, the lack of public awareness about deepfakes and the shortage of skilled forensic analysts might restrain market momentum in the short run. Nevertheless, continuous innovations in neural networks and cross-platform integrations are anticipated to unlock significant commercial potential.

Regionally, North America emerged as the dominant market in 2024 and is forecasted to maintain this lead through 2035, owing to its early adoption of cybersecurity and digital forensics infrastructure, along with strong regulatory frameworks around content authenticity. The United States, in particular, has witnessed a surge in government and corporate investments in AI-based image forensics, which has boosted the deployment of fake image detection solutions across verticals such as defense, legal, and healthcare. Europe, propelled by GDPR-like policies and digital sovereignty initiatives, is witnessing rapid adoption, especially in the media and banking sectors where image integrity is tightly linked to compliance and consumer trust. Meanwhile, the Asia Pacific region is anticipated to be the fastest-growing market during the forecast period. The uptick is fueled by the explosive growth of smartphone users, rampant misinformation on social media platforms, and increasing government surveillance efforts in countries like China, India, and South Korea.

Major market player included in this report are:

  • Microsoft Corporation
  • Adobe Inc.
  • Google LLC
  • Meta Platforms, Inc.
  • Truepic
  • Serelay Ltd.
  • Hive AI
  • Pimeyes
  • Clarifai Inc.
  • Deepware Scanner
  • Sensity AI
  • Amber Video
  • Reality Defender
  • Deeptrace Technologies
  • FakeCatcher by Intel

Global Fake Image Detection Market Report Scope:

  • Historical Data - 2023, 2024
  • Base Year for Estimation - 2024
  • Forecast period - 2025-2035
  • Report Coverage - Revenue forecast, Company Ranking, Competitive Landscape, Growth factors, and Trends
  • Regional Scope - North America; Europe; Asia Pacific; Latin America; Middle East & Africa
  • Customization Scope - Free report customization (equivalent up to 8 analysts' working hours) with purchase. Addition or alteration to country, regional & segment scope*

The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values for the coming years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within the countries involved in the study. The report also provides detailed information about crucial aspects, such as driving factors and challenges, which will define the future growth of the market. Additionally, it incorporates potential opportunities in micro-markets for stakeholders to invest, along with a detailed analysis of the competitive landscape and product offerings of key players. The detailed segments and sub-segments of the market are explained below:

By Offering:

  • Solutions
  • Services

By Target User:

  • Individual
  • Professional
  • Enterprise Guide

By Technology:

  • ML and DL
  • Image Forensics

By Deployment Mode:

  • On-Premises
  • Cloud

By Organization Size:

  • Large Enterprises
  • Small and Medium Enterprises

By Application:

  • Social Media and Content Moderation
  • Digital Forensics
  • Fraud Detection
  • Healthcare and Medical Imaging
  • Recruitment

By Vertical:

  • Government
  • BFSI
  • Healthcare
  • Telecom
  • Real Estate
  • Media & Entertainment
  • Others

By Region:

  • North America
  • U.S.
  • Canada
  • Europe
  • UK
  • Germany
  • France
  • Spain
  • Italy
  • Rest of Europe
  • Asia Pacific
  • China
  • India
  • Japan
  • Australia
  • South Korea
  • Rest of Asia Pacific
  • Latin America
  • Brazil
  • Mexico
  • Middle East & Africa
  • UAE
  • Saudi Arabia
  • South Africa
  • Rest of Middle East & Africa

Key Takeaways:

  • Market Estimates & Forecast for 10 years from 2025 to 2035.
  • Annualized revenues and regional level analysis for each market segment.
  • Detailed analysis of geographical landscape with Country level analysis of major regions.
  • Competitive landscape with information on major players in the market.
  • Analysis of key business strategies and recommendations on future market approach.
  • Analysis of competitive structure of the market.
  • Demand side and supply side analysis of the market.

Table of Contents

Chapter 1. Global Fake Image Detection Market Report Scope & Methodology

  • 1.1. Research Objective
  • 1.2. Research Methodology
    • 1.2.1. Forecast Model
    • 1.2.2. Desk Research
    • 1.2.3. Top-Down and Bottom-Up Approach
  • 1.3. Research Attributes
  • 1.4. Scope of the Study
    • 1.4.1. Market Definition
    • 1.4.2. Market Segmentation
  • 1.5. Research Assumptions
    • 1.5.1. Inclusion & Exclusion
    • 1.5.2. Limitations
    • 1.5.3. Years Considered for the Study

Chapter 2. Executive Summary

  • 2.1. CEO/CXO Standpoint
  • 2.2. Strategic Insights
  • 2.3. ESG Analysis
  • 2.4. Key Findings

Chapter 3. Global Fake Image Detection Market Forces Analysis

  • 3.1. Market Forces Shaping The Global Fake Image Detection Market (2024-2035)
  • 3.2. Drivers
    • 3.2.1. Proliferation of Generative AI and Deepfake Technologies
    • 3.2.2. Heightened Regulatory and Compliance Requirements for Visual Content
  • 3.3. Restraints
    • 3.3.1. High Implementation Costs and Infrastructure Complexity
    • 3.3.2. Shortage of Skilled AI and Forensics Professionals
  • 3.4. Opportunities
    • 3.4.1. Rapid Digital Transformation in Emerging APAC and LATAM Markets
    • 3.4.2. Integration of Multimodal AI and Blockchain for Enhanced Authenticity

Chapter 4. Global Fake Image Detection Industry Analysis

  • 4.1. Porter's Five Forces Model
    • 4.1.1. Bargaining Power of Buyers
    • 4.1.2. Bargaining Power of Suppliers
    • 4.1.3. Threat of New Entrants
    • 4.1.4. Threat of Substitutes
    • 4.1.5. Competitive Rivalry
  • 4.2. Porter's Five Forces Forecast Model (2024-2035)
  • 4.3. PESTEL Analysis
    • 4.3.1. Political
    • 4.3.2. Economical
    • 4.3.3. Social
    • 4.3.4. Technological
    • 4.3.5. Environmental
    • 4.3.6. Legal
  • 4.4. Top Investment Opportunities
  • 4.5. Top Winning Strategies (2025)
  • 4.6. Market Share Analysis (2024-2025)
  • 4.7. Global Pricing Analysis and Trends 2025
  • 4.8. Analyst Recommendations & Conclusion

Chapter 5. Global Fake Image Detection Market Size & Forecasts by Offering 2025-2035

  • 5.1. Market Overview
  • 5.2. Global Market Performance - Potential Analysis (2025)
  • 5.3. Solutions
    • 5.3.1. Top Countries Breakdown Estimates & Forecasts, 2024-2035
    • 5.3.2. Market Size Analysis, by Region, 2025-2035
  • 5.4. Services
    • 5.4.1. Top Countries Breakdown Estimates & Forecasts, 2024-2035
    • 5.4.2. Market Size Analysis, by Region, 2025-2035

Chapter 6. Global Fake Image Detection Market Size & Forecasts by Target User, Technology, Deployment Mode & Organization Size 2025-2035

  • 6.1. Market Overview
  • 6.2. Global Market Performance - Potential Analysis (2025)
  • 6.3. Target User
    • 6.3.1. Individual
    • 6.3.2. Professional
    • 6.3.3. Enterprise Guide
  • 6.4. Technology
    • 6.4.1. ML and DL
    • 6.4.2. Image Forensics
  • 6.5. Deployment Mode
    • 6.5.1. On-Premises
    • 6.5.2. Cloud
  • 6.6. Organization Size
    • 6.6.1. Large Enterprises
    • 6.6.2. Small and Medium Enterprises

Chapter 7. Global Fake Image Detection Market Size & Forecasts by Application & Vertical 2025-2035

  • 7.1. Market, Application Snapshot
  • 7.2. Top Leading & Emerging Applications
  • 7.3. Social Media and Content Moderation
    • 7.3.1. Top Countries Breakdown Estimates & Forecasts, 2024-2035
    • 7.3.2. Market Size Analysis, by Region, 2025-2035
  • 7.4. Digital Forensics
    • 7.4.1. Top Countries Breakdown Estimates & Forecasts, 2024-2035
    • 7.4.2. Market Size Analysis, by Region, 2025-2035
  • 7.5. Fraud Detection
    • 7.5.1. Top Countries Breakdown Estimates & Forecasts, 2024-2035
    • 7.5.2. Market Size Analysis, by Region, 2025-2035
  • 7.6. Healthcare and Medical Imaging
    • 7.6.1. Top Countries Breakdown Estimates & Forecasts, 2024-2035
    • 7.6.2. Market Size Analysis, by Region, 2025-2035
  • 7.7. Recruitment
    • 7.7.1. Top Countries Breakdown Estimates & Forecasts, 2024-2035
    • 7.7.2. Market Size Analysis, by Region, 2025-2035
  • 7.8. Vertical Analysis
    • 7.8.1. Government
    • 7.8.2. BFSI
    • 7.8.3. Healthcare
    • 7.8.4. Telecom
    • 7.8.5. Real Estate
    • 7.8.6. Media & Entertainment
    • 7.8.7. Others

Chapter 8. Competitive Intelligence

  • 8.1. Top Market Strategies
  • 8.2. Microsoft Corporation
    • 8.2.1. Company Overview
    • 8.2.2. Key Executives
    • 8.2.3. Company Snapshot
    • 8.2.4. Financial Performance (Subject to Data Availability)
    • 8.2.5. Product/Services Portfolio
    • 8.2.6. Recent Developments
    • 8.2.7. Market Strategies
    • 8.2.8. SWOT Analysis
  • 8.3. Adobe Inc.
  • 8.4. Google LLC
  • 8.5. Meta Platforms, Inc.
  • 8.6. Truepic
  • 8.7. Serelay Ltd.
  • 8.8. Hive AI
  • 8.9. Pimeyes
  • 8.10. Clarifai Inc.
  • 8.11. Deepware Scanner
  • 8.12. Sensity AI
  • 8.13. Amber Video
  • 8.14. Reality Defender
  • 8.15. Deeptrace Technologies
  • 8.16. FakeCatcher by Intel
Have a question?
Picture

Jeroen Van Heghe

Manager - EMEA

+32-2-535-7543

Picture

Christine Sirois

Manager - Americas

+1-860-674-8796

Questions? Please give us a call or visit the contact form.
Hi, how can we help?
Contact us!