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PUBLISHER: Prescient & Strategic Intelligence | PRODUCT CODE: 1512163

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PUBLISHER: Prescient & Strategic Intelligence | PRODUCT CODE: 1512163

Fake Image Detection Market Size & Share Analysis - Trends, Drivers, Competitive Landscape, and Forecasts (2024 - 2030)

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Market Overview

The fake image detection market size is expected to grow from an estimated USD 712.2 million in 2024 to USD 5,811.9 million by 2030, with a CAGR of 41.9% during 2024-2030.

Post-production images are the kind of fake images where the pictures are manipulated, and although the face of a person may have been replaced, the pictures are so realistic that one cannot distinguish the swap, forged signatures, company names, and types of modifications.

There are countless numbers of fake image detection solution available in the Internet as the AI technology is growing and cloud computing has become prevalent. This makes them more viable and accessible to all for implementing fake image detection. This availability makes them convenient for the consumers, since they can use them time and again for various activities.

Also, these solutions proven easy to be incorporated because the selected software suite is available online and there is no need to purchase a CD and install it in the client's PC. They also analyze data in real-time while offering a best-in-class ethically trained dataset.

The progress of the market is primarily driven by the increase in social media posts with deepfake pictures. For instance, the faces of famous politicians and celebrities as well as common bloggers were replaced with those of other individuals, and these pictures were spread all over the Internet. The most famous celebrities whose naked pictures leaked online include; Taylor Swift, Scarlett Johansson, Tom Hanks Sachin Tendulkar, Tom Cruise and Kristen Bell.

Key Insights

Solutions are the larger category in the fake image detection market, holding a 65% share in 2024.

Photoshopped images can easily be created by adjusting brightness, cropping, changing appearance, or making complex changes to spread misleading content.

The rise in the popularity of Adobe Photoshop and similar software has increased the threat of false pictures.

Several AI deepfake detector tools and software, such as DuckDuckGoose, Reality Demender, and iProov, are available online.

Machine learning/deep learning (ML/DL) is the larger and faster-growing category, with a 70% share in 2024 and a CAGR of 42.3% during 2024-2030.

ML/DL technologies automate the process of fake image detection, making it more accurate than human detection.

Deepfake image detection primarily uses convolutional neural networks (CNN) and generative adversarial networks (GAN).

The cloud category is the larger and faster-growing deployment method, with a CAGR of 42.4% during the forecast period.

Cloud deployment offers advantages like scalability, cost-effectiveness, and anytime, anywhere accessibility.

Cloud-based tools are easily accessible online, support multiple users, and offer a user-friendly interface.

Additional benefits of cloud deployment include advanced security and visualization features.

The government category holds the largest and fastest-growing market share at 35% in 2024.

Misinformation, especially about political leaders, poses a threat to democracy and public harmony.

Governments worldwide are evolving regulations for deepfake detection, prevention, grievance mechanisms, and awareness.

According to Cyfrima, deepfake cases have increased by 230% recently.

North America holds the largest market share at 45% in 2024, driven by technological advancements in deepfake tools.

The U.S. is the largest country in this region, with initiatives like the 2021 Senate Homeland Security and Governmental Affairs Committee's Deepfakes Task Force Act.

Asia-Pacific is the fastest-growing region in this market, with a CAGR of 42.5% during the forecast period.

India is the fastest-growing fake image detection market due to the spread of false content related to national security, terrorism, and communal and religious sentiments.

Product Code: 13049

Table of Contents

Chapter 1. Research Scope

  • 1.1. Research Objectives
  • 1.2. Market Definition
  • 1.3. Analysis Period
  • 1.4. Market Size Breakdown by Segments
    • 1.4.1. Market size breakdown, by offering
    • 1.4.2. Market size breakdown, by technology
    • 1.4.3. Market size breakdown, by deployment
    • 1.4.4. Market size breakdown, by industry
    • 1.4.5. Market size breakdown, by application
    • 1.4.6. Market size breakdown, by region
    • 1.4.7. Market size breakdown, by country
  • 1.5. Market Data Reporting Unit
    • 1.5.1. Value
  • 1.6. Key Stakeholders

Chapter 2. Research Methodology

  • 2.1. Secondary Research
    • 2.1.1. Paid
    • 2.1.2. Unpaid
    • 2.1.3. P&S Intelligence database
  • 2.2. Primary Research
  • 2.3. Market Size Estimation
  • 2.4. Data Triangulation
  • 2.5. Currency Conversion Rates
  • 2.6. Assumptions for the Study
  • 2.7. Notes and Caveats

Chapter 3. Executive Summary

Chapter 4. Market Indicators

Chapter 5. Industry Outlook

  • 5.1. Market Dynamics
    • 5.1.1. Trends
    • 5.1.2. Drivers
    • 5.1.3. Restraints/challenges
    • 5.1.4. Impact analysis of drivers/restraints
  • 5.2. Impact of COVID-19
  • 5.3. Porter's Five Forces Analysis
    • 5.3.1. Bargaining power of buyers
    • 5.3.2. Bargaining power of suppliers
    • 5.3.3. Threat of new entrants
    • 5.3.4. Intensity of rivalry
    • 5.3.5. Threat of substitutes

Chapter 6. Global Market

  • 6.1. Overview
  • 6.2. Market Revenue, by Offering (2019-2030)
  • 6.3. Market Revenue, by Technology (2019-2030)
  • 6.4. Market Revenue, by Deployment (2019-2030)
  • 6.5. Market Revenue, by Industry (2019-2030)
  • 6.6. Market Revenue, by Application (2019-2030)
  • 6.7. Market Revenue, by Region (2019-2030)

Chapter 7. North America Market

  • 7.1. Overview
  • 7.2. Market Revenue, by Offering (2019-2030)
  • 7.3. Market Revenue, by Technology (2019-2030)
  • 7.4. Market Revenue, by Deployment (2019-2030)
  • 7.5. Market Revenue, by Industry (2019-2030)
  • 7.6. Market Revenue, by Application (2019-2030)
  • 7.7. Market Revenue, by Country (2019-2030)

Chapter 8. Europe Market

  • 8.1. Overview
  • 8.2. Market Revenue, by Offering (2019-2030)
  • 8.3. Market Revenue, by Technology (2019-2030)
  • 8.4. Market Revenue, by Deployment (2019-2030)
  • 8.5. Market Revenue, by Industry (2019-2030)
  • 8.6. Market Revenue, by Application (2019-2030)
  • 8.7. Market Revenue, by Country (2019-2030)

Chapter 9. APAC Market

  • 9.1. Overview
  • 9.2. Market Revenue, by Offering (2019-2030)
  • 9.3. Market Revenue, by Technology (2019-2030)
  • 9.4. Market Revenue, by Deployment (2019-2030)
  • 9.5. Market Revenue, by Industry (2019-2030)
  • 9.6. Market Revenue, by Application (2019-2030)
  • 9.7. Market Revenue, by Country (2019-2030)

Chapter 10. LATAM Market

  • 10.1. Overview
  • 10.2. Market Revenue, by Offering (2019-2030)
  • 10.3. Market Revenue, by Technology (2019-2030)
  • 10.4. Market Revenue, by Deployment (2019-2030)
  • 10.5. Market Revenue, by Industry (2019-2030)
  • 10.6. Market Revenue, by Application (2019-2030)
  • 10.7. Market Revenue, by Country (2019-2030)

Chapter 11. MEA Market

  • 11.1. Overview
  • 11.2. Market Revenue, by Offering (2019-2030)
  • 11.3. Market Revenue, by Technology (2019-2030)
  • 11.4. Market Revenue, by Deployment (2019-2030)
  • 11.5. Market Revenue, by Industry (2019-2030)
  • 11.6. Market Revenue, by Application (2019-2030)
  • 11.7. Market Revenue, by Country (2019-2030)

Chapter 12. U.S. Market

  • 12.1. Overview
  • 12.2. Market Revenue, by Offering (2019-2030)
  • 12.3. Market Revenue, by Technology (2019-2030)
  • 12.4. Market Revenue, by Deployment (2019-2030)
  • 12.5. Market Revenue, by Industry (2019-2030)
  • 12.6. Market Revenue, by Application (2019-2030)

Chapter 13. Canada Market

  • 13.1. Overview
  • 13.2. Market Revenue, by Offering (2019-2030)
  • 13.3. Market Revenue, by Technology (2019-2030)
  • 13.4. Market Revenue, by Deployment (2019-2030)
  • 13.5. Market Revenue, by Industry (2019-2030)
  • 13.6. Market Revenue, by Application (2019-2030)

Chapter 14. Germany Market

  • 14.1. Overview
  • 14.2. Market Revenue, by Offering (2019-2030)
  • 14.3. Market Revenue, by Technology (2019-2030)
  • 14.4. Market Revenue, by Deployment (2019-2030)
  • 14.5. Market Revenue, by Industry (2019-2030)
  • 14.6. Market Revenue, by Application (2019-2030)

Chapter 15. France Market

  • 15.1. Overview
  • 15.2. Market Revenue, by Offering (2019-2030)
  • 15.3. Market Revenue, by Technology (2019-2030)
  • 15.4. Market Revenue, by Deployment (2019-2030)
  • 15.5. Market Revenue, by Industry (2019-2030)
  • 15.6. Market Revenue, by Application (2019-2030)

Chapter 16. U.K. Market

  • 16.1. Overview
  • 16.2. Market Revenue, by Offering (2019-2030)
  • 16.3. Market Revenue, by Technology (2019-2030)
  • 16.4. Market Revenue, by Deployment (2019-2030)
  • 16.5. Market Revenue, by Industry (2019-2030)
  • 16.6. Market Revenue, by Application (2019-2030)

Chapter 17. Italy Market

  • 17.1. Overview
  • 17.2. Market Revenue, by Offering (2019-2030)
  • 17.3. Market Revenue, by Technology (2019-2030)
  • 17.4. Market Revenue, by Deployment (2019-2030)
  • 17.5. Market Revenue, by Industry (2019-2030)
  • 17.6. Market Revenue, by Application (2019-2030)

Chapter 18. Spain Market

  • 18.1. Overview
  • 18.2. Market Revenue, by Offering (2019-2030)
  • 18.3. Market Revenue, by Technology (2019-2030)
  • 18.4. Market Revenue, by Deployment (2019-2030)
  • 18.5. Market Revenue, by Industry (2019-2030)
  • 18.6. Market Revenue, by Application (2019-2030)

Chapter 19. Japan Market

  • 19.1. Overview
  • 19.2. Market Revenue, by Offering (2019-2030)
  • 19.3. Market Revenue, by Technology (2019-2030)
  • 19.4. Market Revenue, by Deployment (2019-2030)
  • 19.5. Market Revenue, by Industry (2019-2030)
  • 19.6. Market Revenue, by Application (2019-2030)

Chapter 20. China Market

  • 20.1. Overview
  • 20.2. Market Revenue, by Offering (2019-2030)
  • 20.3. Market Revenue, by Technology (2019-2030)
  • 20.4. Market Revenue, by Deployment (2019-2030)
  • 20.5. Market Revenue, by Industry (2019-2030)
  • 20.6. Market Revenue, by Application (2019-2030)

Chapter 21. India Market

  • 21.1. Overview
  • 21.2. Market Revenue, by Offering (2019-2030)
  • 21.3. Market Revenue, by Technology (2019-2030)
  • 21.4. Market Revenue, by Deployment (2019-2030)
  • 21.5. Market Revenue, by Industry (2019-2030)
  • 21.6. Market Revenue, by Application (2019-2030)

Chapter 22. Australia Market

  • 22.1. Overview
  • 22.2. Market Revenue, by Offering (2019-2030)
  • 22.3. Market Revenue, by Technology (2019-2030)
  • 22.4. Market Revenue, by Deployment (2019-2030)
  • 22.5. Market Revenue, by Industry (2019-2030)
  • 22.6. Market Revenue, by Application (2019-2030)

Chapter 23. South Korea Market

  • 23.1. Overview
  • 23.2. Market Revenue, by Offering (2019-2030)
  • 23.3. Market Revenue, by Technology (2019-2030)
  • 23.4. Market Revenue, by Deployment (2019-2030)
  • 23.5. Market Revenue, by Industry (2019-2030)
  • 23.6. Market Revenue, by Application (2019-2030)

Chapter 24. Brazil Market

  • 24.1. Overview
  • 24.2. Market Revenue, by Offering (2019-2030)
  • 24.3. Market Revenue, by Technology (2019-2030)
  • 24.4. Market Revenue, by Deployment (2019-2030)
  • 24.5. Market Revenue, by Industry (2019-2030)
  • 24.6. Market Revenue, by Application (2019-2030)

Chapter 25. Mexico Market

  • 25.1. Overview
  • 25.2. Market Revenue, by Offering (2019-2030)
  • 25.3. Market Revenue, by Technology (2019-2030)
  • 25.4. Market Revenue, by Deployment (2019-2030)
  • 25.5. Market Revenue, by Industry (2019-2030)
  • 25.6. Market Revenue, by Application (2019-2030)

Chapter 26. Saudi Arabia Market

  • 26.1. Overview
  • 26.2. Market Revenue, by Offering (2019-2030)
  • 26.3. Market Revenue, by Technology (2019-2030)
  • 26.4. Market Revenue, by Deployment (2019-2030)
  • 26.5. Market Revenue, by Industry (2019-2030)
  • 26.6. Market Revenue, by Application (2019-2030)

Chapter 27. South Africa Market

  • 27.1. Overview
  • 27.2. Market Revenue, by Offering (2019-2030)
  • 27.3. Market Revenue, by Technology (2019-2030)
  • 27.4. Market Revenue, by Deployment (2019-2030)
  • 27.5. Market Revenue, by Industry (2019-2030)
  • 27.6. Market Revenue, by Application (2019-2030)

Chapter 28. U.A.E. Market

  • 28.1. Overview
  • 28.2. Market Revenue, by Offering (2019-2030)
  • 28.3. Market Revenue, by Technology (2019-2030)
  • 28.4. Market Revenue, by Deployment (2019-2030)
  • 28.5. Market Revenue, by Industry (2019-2030)
  • 28.6. Market Revenue, by Application (2019-2030)

Chapter 29. Competitive Landscape

  • 29.1. List of Market Players and their Offerings
  • 29.2. Competitive Benchmarking of Key Players
  • 29.3. Product Benchmarking of Key Players
  • 29.4. Recent Strategic Developments

Chapter 30. Company Profiles

  • 30.1. Microsoft Corporation
    • 30.1.1. Business overview
    • 30.1.2. Product and service offerings
    • 30.1.3. Key financial summary
  • 30.2. Intel Corporation
    • 30.2.1. Business overview
    • 30.2.2. Product and service offerings
    • 30.2.3. Key financial summary
  • 30.3. Google LLC
    • 30.3.1. Business overview
    • 30.3.2. Product and service offerings
    • 30.3.3. Key financial summary
  • 30.4. Facia.ai
    • 30.4.1. Business overview
    • 30.4.2. Product and service offerings
    • 30.4.3. Key financial summary
  • 30.5. Scorto Inc.
    • 30.5.1. Business overview
    • 30.5.2. Product and service offerings
    • 30.5.3. Key financial summary
  • 30.6. Q-INTEGRITY
    • 30.6.1. Business overview
    • 30.6.2. Product and service offerings
    • 30.6.3. Key financial summary
  • 30.7. iDenfyTM
    • 30.7.1. Business overview
    • 30.7.2. Product and service offerings
    • 30.7.3. Key financial summary
  • 30.8. Primeau Forensics LTD
    • 30.8.1. Business overview
    • 30.8.2. Product and service offerings
    • 30.8.3. Key financial summary
  • 30.9. iProov
    • 30.9.1. Business overview
    • 30.9.2. Product and service offerings
    • 30.9.3. Key financial summary
  • 30.10. Sensity AI
    • 30.10.1. Business overview
    • 30.10.2. Product and service offerings
    • 30.10.3. Key financial summary
  • 30.11. Truepic
    • 30.11.1. Business overview
    • 30.11.2. Product and service offerings
    • 30.11.3. Key financial summary
  • 30.12. DuckDuckGoose
    • 30.12.1. Business overview
    • 30.12.2. Product and service offerings
    • 30.12.3. Key financial summary
  • 30.13. Reality Defender Inc.
    • 30.13.1. Business overview
    • 30.13.2. Product and service offerings
    • 30.13.3. Key financial summary
  • 30.14. Clearview AI Inc.
    • 30.14.1. Business overview
    • 30.14.2. Product and service offerings
    • 30.14.3. Key financial summary
  • 30.15. Kairos AR Inc.
    • 30.15.1. Business overview
    • 30.15.2. Product and service offerings
    • 30.15.3. Key financial summary

Chapter 31. Appendix

  • 31.1. Abbreviations
  • 31.2. Sources and References
  • 31.3. Related Reports
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