Fake Image Detection Market

Top Fake Image Detection Companies - Q-integrity (Switzerland), BioID (Germany), Facia (UK) | MarketsandMarkets

The fake image detection market size is projected to grow from USD 0.6 billion in 2024 to USD 3.9   billion by 2029 at a Compound Annual Growth Rate (CAGR) of 41.6% during the forecast period. The growth of the fake image detection market is fueled by increasing concerns over misinformation, particularly in the space of journalism, social media, and public discourse. As the accessibility of image editing tools grows, so does the need for reliable methods to discern authentic images from manipulated or fabricated images. Additionally, advancements in artificial intelligence and machine learning have enabled more sophisticated detection techniques, further propelling the adoption of these solutions by organizations seeking to maintain credibility and trust in their image authenticity.

Top Fake Image Detection Companies 2024 include

  • Image Forgery Detector (IFD)(Belgium),
  • Q-Integrity (Switzerland),
  • Microsoft Corporation (US),
  • Facia (UK),
  • BioID (Germany), and many more....

Partnerships, agreements, collaborations, acquisitions, and product developments are various growth strategies these fake image detection companies use to increase their market presence.

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Image Forgery Detector (IFD)

Image Forgery Detector (IFD)(Belgium) is a provider of advanced solutions in fake image detection. It offers solutions to combat image forgery and enhance digital integrity. Scorto Corporation, a globally recognized provider of analytics solutions and tools for decision management, risk management, and fraud prevention is a parent company of Image Forgery Detector (IFD). IFD was initially conceived as an internal project within the Scorto Research and Development (R&D) laboratory. Recognizing its potential, it was subsequently detached into a separate business division, exclusively focusing on image forgery detection methods and algorithms. IFD safeguards organizations from financial losses and reputation risks by identifying and preventing image-based fraud. And, by reducing the number of fraudsters in customer bases, it enables organizations to enhance profitability per customer.

The company actively invests in R&D and its center has developed a robust system that automatically detects image forgery. With JPEG format, it can implement texture analysis, metadata investigation, and error level analysis to detect alteration in the images. IFD employs state-of-the-art algorithms to identify manipulated or forged images. Its document photo image forgery detector minimizes the possibility of fraud and lessens the document verification time.

The solution integrates seamlessly into websites, loan application, or client registration processes. It verifies documents including birth certificates, ID cards, passports, driver licenses, bank account statements, permits, and utility bills.

The company promotes ethical behavior for its communities and participants with the support of most prominent AI technology.

The company caters to various verticals by employing image analysis and AI technologies for image forgery detection. The verticals include online lenders and banking institutions, telcos, insurance companies, government and local authorities, and recruitment.


Q-Integrity (Switzerland),is an innovative company specializing in AI-powered deepfake and image forgery detection solutions. Their platform utilizes deep learning algorithms to identify fake images and videos. Q-Integrity's technology aims to safeguard against digital forgery, addressing a significant threat in various sectors. The company combats digital fraud and bolster data authenticity. Through their SaaS AI technology, they offer comprehensive analysis to detect manipulations in the images and video. This empowers users to make informed decisions in response to the increasing menace of digital forgery. Their comprehensive portfolio of services include digital identity verification, insurance verification, deepfake detection, and documents verification.

The company’s AI technology detects manipulation and forgery in identification documents such as IDs, passports, and driving licenses. The technology also detects manipulation and forgery in insurance claims. Their deepfake detection service identifies deepfake content across various media including videos, images, or live video conference calls maintaining the security. It also detects manipulation in invoices, contracts, certificates, and other documents.

The company caters to industries including insurance industry, ID management, and document management.

Microsoft Corporation

Microsoft offers advanced artificial intelligence (AI) and machine learning (ML) technologies to combat the proliferation of fake images and visual misinformation. Leveraging its expertise in computer vision and image analysis, Microsoft develops robust detection algorithms and tools to identify manipulated or doctored images across digital platforms and media channels. With a focus on accuracy and reliability, Microsoft's solutions empower users, content moderators, and platform providers to detect and mitigate the spread of fake images, safeguarding the integrity of digital content and enhancing trust in online environments. Through continuous innovation and collaboration with industry partners, Microsoft remains at the forefront of combating visual disinformation, contributing to a safer and more trustworthy digital ecosystem.


Facia specializes in developing cutting-edge AI-powered solutions for detecting fake images and visual misinformation. Leveraging advanced computer vision algorithms and deep learning techniques, Facia's platform analyzes image content, metadata, and contextual information to identify manipulated or deceptive images with high accuracy. By providing real-time detection capabilities, Facia helps social media platforms, news agencies, and online communities combat the spread of fake images, ensuring the integrity and authenticity of visual content shared across digital channels. With a commitment to innovation and data-driven insights, Facia continues to advance the field of fake image detection, empowering users and organizations to navigate the challenges of visual disinformation in the digital age.


BioID specializes in providing advanced biometric facial recognition solutions for detecting fake images and deepfakes. Leveraging state-of-the-art facial recognition algorithms and liveness detection techniques, BioID's platform analyzes facial features and behavioral patterns to authenticate the identity of individuals in images and videos. By offering robust anti-spoofing measures and biometric authentication capabilities, BioID helps organizations across various industries, including banking, cybersecurity, and digital identity verification, combat the proliferation of fake images and deepfake content. With a focus on privacy and security, BioID enables seamless and secure identity verification processes, ensuring trust and integrity in digital transactions and online interactions.

Related Reports:

Fake Image Detection Market by Offering (Solutions and Services), Target User, Technology, Application, Deployment Mode (On-premises and Cloud), Organization Size (Large Enterprises and SMEs), Vertical and Region - Global Forecast to 2029

Fake Image Detection Market Size,  Share & Growth Report
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TC 8983
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