Fake Image Detection Market

Global Fake Image Detection Market Size, Share & Trends Analysis Report By Offering, By Application, By Enterprise Size, By Deployment Mode, By Target User, By Technology, ByVertical, By Regional Outlook and Forecast, 2024 - 2031

Report Id: KBV-22473 Publication Date: May-2024 Number of Pages: 383
2023
USD 568.6 Million
2031
USD 8.2 Billion
CAGR
40.3%
Historical Data
2020 to 2022

Market Report Description

The Global Fake Image Detection Market size is expected to reach $8.2 billion by 2031, rising at a market growth of 40.3% CAGR during the forecast period.

With the increasing digitization of business processes and transactions, there has been a corresponding rise in digital fraud activities. Therefore, the fraud detection segment acquired $117.4 million revenue in 2023. Fraudsters use various techniques, including creating and disseminating fake images, to deceive individuals, businesses, and organizations for financial gain. As digital fraud becomes more sophisticated and pervasive, there is a growing need for robust fraud detection solutions to identify and mitigate fraudulent activities effectively.

Fake Image Detection Market Size - Global Opportunities and Trends Analysis Report 2020-2031

Integration with image editing software creates a real-time feedback loop for users. As they manipulate images, they receive immediate feedback on the authenticity of their edits. correctm to correct unintentional manipulations and ensures that only genuine content is shared, fostering a culture of authenticity and trust in digital media. Thus, the rising integration with image editing software drives the market’s growth.

Additionally, AI and ML algorithms have significantly improved the accuracy of fake image detection by enabling the development of more sophisticated and robust detection models. This rapid processing speed is essential for platforms with high traffic volumes, social media platforms, and online marketplaces where fake content can spread rapidly.

However, as technology advances, so do malicious actors’ techniques to manipulate images. From simple alterations like cropping and resizing to more complex methods such as deep learning-based generation and manipulation, the sophistication of manipulation techniques continues to evolve. In conclusion, evolving image manipulation techniques are hampering the market’s growth.

Driving and Restraining Factors
Fake Image Detection Market
  • Rising integration with image editing software
  • Advancements in artificial intelligence (AI) and machine learning (ML)
  • Emergence of visual social media platforms
  • Evolving techniques of image manipulation
  • High volume and diversity of image data
  • Growing education and awareness initiatives
  • Protecting the brand reputation of businesses and organizations
  • Limitations of forensic analysis
  • Privacy concerns in image analysis

Enterprise Size Outlook

Based on enterprise size, the market is divided into large enterprises and SMEs. The large enterprises segment attained a 70% share in the market in 2023. Large enterprises have established brands and reputations to protect.

Deployment Mode Outlook

By deployment mode, the market is divided into on-premise and cloud. The cloud segment procured a 36% remarkable revenue share in the market in 2023. Cloud solutions offer scalability and flexibility that on-premises deployments may struggle to match.

Target User Outlook

On the basis of target user, the market is segmented into individual, professional, and enterprise grade. The professional segment recorded a 42.1% revenue share in the market in 2023. Professional users often have unique requirements and challenges regarding fake image detection.

Technology Outlook

Based on technology, the market is categorized into machine learning & deep learning and image forensics. In 2023, the image forensics segment witnessed a considerable 31% revenue share in the market. Image forensics techniques, which involve analyzing the digital signatures and artifacts left behind by image manipulation processes, offer a more robust and reliable approach to detecting fake images.

Fake Image Detection Market Share and Industry Analysis Report 2023

Vertical Outlook

By vertical, the market is segmented into government, BFSI, healthcare & lifesciences, telecom, real estate, media & entertainment, and others. In 2023, the government segment registered 37.4% revenue share in the market.

Offering Outlook

Based on offering, the market is divided into solutions and services. In 2023, the solutions segment garnered a 74.2% revenue share in the market. With the proliferation of digital content and the widespread availability of image editing tools, creating and disseminating fake images have become increasingly prevalent.

Application Outlook

On the basis of application, the market is divided into social media & content moderation, digital forensics, fraud detection, healthcare & medical imaging, and recruitment. In 2023, the digital forensics segment held a promising growth rate in the market.

Free Valuable Insights: Global Fake Image Detection Market size to reach USD 8.2 Billion by 2031

Regional Outlook

Region-wise, the market is analyzed across North America, Europe, Asia Pacific, and LAMEA. The North America region witnessed a 39% revenue share in the market in 2023. North America is a hub for technology innovation and digital transformation, with high internet penetration and widespread use of social media platforms.

Fake Image Detection Market Report Coverage
Report Attribute Details
Market size value in 2023 USD 568.6 Million
Market size forecast in 2031 USD 8.2 Billion
Base Year 2023
Historical Period 2020 to 2022
Forecast Period 2024 to 2031
Revenue Growth Rate CAGR of 40.3% from 2024 to 2031
Number of Pages 383
Number of Tables 730
Report coverage Market Trends, Revenue Estimation and Forecast, Segmentation Analysis, Regional and Country Breakdown, Porter’s 5 Forces Analysis, Company Profiling, Companies Strategic Developments, SWOT Analysis, Winning Imperatives
Segments covered Offering, Enterprise Size, Deployment Mode, Target User, Technology, Application, Vertical, Region
Country scope
  • North America (US, Canada, Mexico, and Rest of North America)
  • Europe (Germany, UK, France, Russia, Spain, Italy, and Rest of Europe)
  • Asia Pacific (China, Japan, India, South Korea, Singapore, Malaysia, and Rest of Asia Pacific)
  • LAMEA (Brazil, Argentina, UAE, Saudi Arabia, South Africa, Nigeria, and Rest of LAMEA)
Companies Included Microsoft Corporation, BioID GmbH, Truepic, Inc, Sensity B.V., iProov Ltd., Primeau Forensics LTD., DuckDuckGoose AI, iDenfy, Q-Integrity, Facia.ai
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List of Key Companies Profiled

  • Microsoft Corporation
  • BioID GmbH
  • Truepic, Inc
  • Sensity B.V.
  • iProov Ltd.
  • Primeau Forensics LTD.
  • DuckDuckGoose AI
  • iDenfy
  • Q-Integrity 
  • Facia.ai

Fake Image Detection Market Report Segmentation

By Offering

  • Solutions
  • Services

By Application

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

By Enterprise Size

  • Large Enterprises
  • SMEs

By Deployment Mode

  • On-Premise
  • Cloud

By Target User

  • Professional
  • Enterprise Grade
  • Individual

By Technology

  • Machine Learning & Deep Learning
  • Image Forensics

By Vertical

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

By Geography

  • North America
    • US
    • Canada
    • Mexico
    • Rest of North America
  • Europe
    • Germany
    • UK
    • France
    • Russia
    • Spain
    • Italy
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Singapore
    • Malaysia
    • Rest of Asia Pacific
  • LAMEA
    • Brazil
    • Argentina
    • UAE
    • Saudi Arabia
    • South Africa
    • Nigeria
    • Rest of LAMEA
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