Global Deepfake AI Market Size Study, by Offering, by Technology, by Vertical and Regional Forecasts 2022-2032

Description

Global Deepfake AI Market is valued at approximately USD 390.15 million in 2023 and is anticipated to grow with a healthy growth rate of more than 44.56% over the forecast period 2024-2032. Deepfake AI refers to the use of artificial intelligence and machine learning technologies to create highly realistic and convincing digital forgeries of audio, video, and images. These synthetic media are often generated using techniques such as generative adversarial networks (GANs), where two neural networks compete to produce increasingly convincing fakes. Deepfakes can manipulate the appearance, movements, and voices of individuals, making them appear to say or do things they never actually did. While this technology has potential applications in entertainment and creative arts, it also poses significant ethical and security challenges, including the spread of misinformation, identity theft, and privacy violations.

The Global Deepfake AI Market is driven by surge in manipulated media, or 'deepfakes,' poses a significant threat to digital identity, driving demand for sophisticated detection tools. As deepfakes become increasingly convincing, the need to protect individuals and institutions from identity theft, scams, and misinformation intensifies. This demand catalyzes the development of cutting-edge AI tools aimed at both the creation and detection of deepfakes, resulting in a rapidly expanding market. Companies and governments are allocating substantial resources to enhance digital security and authenticity, which in turn propels market growth. Moreover, collaborative efforts between detection vendors, research institutes, and governments present significant opportunities to mitigate deepfake risks. Additionally, blockchain technology offers promising solutions for tracking and verifying digital content, contributing to a more robust approach to safeguarding digital integrity and public trust. However, rapid evolution of digital media manipulation techniques is going to impede the overall demand for the market during the forecast period 2024-2032.

The key regions considered for Global Deepfake AI Market study includes Asia Pacific, North America, Europe, Latin America, and Rest of the World. In 2023, the Asia Pacific region is poised to experience the highest growth rate in the deepfake AI market during the forecast period. The increasing incidence of deepfake-related crimes in Southeast Asia, coupled with the region's high volume of digital financial transactions, drives demand for effective detection solutions. As governments in this region intensify efforts to regulate deepfakes, the market for these technologies is expected to flourish. Furthermore, the market in North America is anticipated to develop at the fastest rate over the forecast period 2024-2032.

Major market player included in this report are:

Microsoft
AWS
Google
Intel
Veritone
Cogito Tech
Primeau Forensics
iProov
Kairos
ValidSoft
Safilo Group S.P.A
Silhouette International Schmied AG
EssilorLuxottica
Mondottica Limited
Fielmann Group AG

The detailed segments and sub-segment of the market are explained below:

By Offering:

Software
Services

By Technology:

Generative Adversarial Networks
Autoencoders
Recurrent Neural Networks
Diffusion Models
Transformer Models
Natural Language Processing
Others

By Vertical:

BFSI
Telecommunications
Government & Defense
Healthcare & Life Sciences
Legal
Media & Entertainment
Retail & E-commerce
Other Verticals

By Region:

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

Years considered for the study are as follows:

Historical year - 2022
Base year - 2023
Forecast period - 2024 to 2032

Key Takeaways:

Market Estimates & Forecast for 10 years from 2022 to 2032.
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

Chapter 1. Global Deepfake AI Market Executive Summary

1.1. Global Deepfake AI Market Size & Forecast (2022-2032)
1.2. Regional Summary
1.3. Segmental Summary
- 1.3.1. By Offering
- 1.3.2. By Technology
- 1.3.3. By Vertical
1.4. Key Trends
1.5. Recession Impact
1.6. Analyst Recommendation & Conclusion

Chapter 2. Global Deepfake AI Market Definition and Research Assumptions

2.1. Research Objective
2.2. Market Definition
2.3. Research Assumptions
- 2.3.1. Inclusion & Exclusion
- 2.3.2. Limitations
- 2.3.3. Supply Side Analysis
  - 2.3.3.1. Availability
  - 2.3.3.2. Infrastructure
  - 2.3.3.3. Regulatory Environment
  - 2.3.3.4. Market Competition
  - 2.3.3.5. Economic Viability (Consumer's Perspective)
- 2.3.4. Demand Side Analysis
  - 2.3.4.1. Regulatory frameworks
  - 2.3.4.2. Technological Advancements
  - 2.3.4.3. Environmental Considerations
  - 2.3.4.4. Consumer Awareness & Acceptance
2.4. Estimation Methodology
2.5. Years Considered for the Study
2.6. Currency Conversion Rates

Chapter 3. Global Deepfake AI Market Dynamics

3.1. Market Drivers
- 3.1.1. Increasing deepfakes posing a threat to digital identity
- 3.1.2. Growing application in entertainment and advertising
3.2. Market Challenges
- 3.2.1. Rapidly evolving techniques for digital media manipulation
- 3.2.2. Limited awareness regarding deepfake media across enterprises
3.3. Market Opportunities
- 3.3.1. Collaborative efforts between deepfake detection vendors, research institutes, and government
- 3.3.2. Advancements in blockchain technology for content verification

Chapter 4. Global Deepfake AI Market Industry Analysis

4.1. Porter's 5 Force Model
- 4.1.1. Bargaining Power of Suppliers
- 4.1.2. Bargaining Power of Buyers
- 4.1.3. Threat of New Entrants
- 4.1.4. Threat of Substitutes
- 4.1.5. Competitive Rivalry
- 4.1.6. Futuristic Approach to Porter's 5 Force Model
- 4.1.7. Porter's 5 Force Impact Analysis
4.2. PESTEL Analysis
- 4.2.1. Political
- 4.2.2. Economical
- 4.2.3. Social
- 4.2.4. Technological
- 4.2.5. Environmental
- 4.2.6. Legal
4.3. Top investment opportunity
4.4. Top winning strategies
4.5. Disruptive Trends
4.6. Industry Expert Perspective
4.7. Analyst Recommendation & Conclusion

Chapter 5. Global Deepfake AI Market Size & Forecasts by Offering 2022-2032

5.1. Segment Dashboard
5.2. Global Deepfake AI Market: Offering Revenue Trend Analysis, 2022 & 2032 (USD Million)
- 5.2.1. Software
- 5.2.2. Services

Chapter 6. Global Deepfake AI Market Size & Forecasts by Technology 2022-2032

6.1. Segment Dashboard
6.2. Global Deepfake AI Market: Technology Revenue Trend Analysis, 2022 & 2032 (USD Million)
- 6.2.1. Generative Adversarial Networks
- 6.2.2. Autoencoders
- 6.2.3. Recurrent Neural Networks
- 6.2.4. Diffusion Models
- 6.2.5. Transformer Models
- 6.2.6. Natural Language Processing
- 6.2.7. Others

Chapter 7. Global Deepfake AI Market Size & Forecasts by Vertical 2022-2032

7.1. Segment Dashboard
7.2. Global Deepfake AI Market: Vertical Revenue Trend Analysis, 2022 & 2032 (USD Million)
- 7.2.1. BFSI
- 7.2.2. Telecommunications
- 7.2.3. Government & Defense
- 7.2.4. Healthcare & Life Sciences
- 7.2.5. Legal
- 7.2.6. Media & Entertainment
- 7.2.7. Retail & E-commerce
- 7.2.8. Other Verticals

Chapter 8. Global Deepfake AI Market Size & Forecasts by Region 2022-2032

8.1. North America Deepfake AI Market
- 8.1.1. U.S. Deepfake AI Market
  - 8.1.1.1. Offering breakdown size & forecasts, 2022-2032
  - 8.1.1.2. Technology breakdown size & forecasts, 2022-2032
  - 8.1.1.3. Vertical breakdown size & forecasts, 2022-2032
- 8.1.2. Canada Deepfake AI Market
  - 8.1.2.1. Offering breakdown size & forecasts, 2022-2032
  - 8.1.2.2. Technology breakdown size & forecasts, 2022-2032
  - 8.1.2.3. Vertical breakdown size & forecasts, 2022-2032
8.2. Europe Deepfake AI Market
- 8.2.1. U.K. Deepfake AI Market
  - 8.2.1.1. Offering breakdown size & forecasts, 2022-2032
  - 8.2.1.2. Technology breakdown size & forecasts, 2022-2032
  - 8.2.1.3. Vertical breakdown size & forecasts, 2022-2032
- 8.2.2. Germany Deepfake AI Market
- 8.2.3. France Deepfake AI Market
- 8.2.4. Spain Deepfake AI Market
- 8.2.5. Italy Deepfake AI Market
- 8.2.6. Rest of Europe Deepfake AI Market
8.3. Asia-Pacific Deepfake AI Market
- 8.3.1. China Deepfake AI Market
- 8.3.2. India Deepfake AI Market
- 8.3.3. Japan Deepfake AI Market
- 8.3.4. Australia Deepfake AI Market
- 8.3.5. South Korea Deepfake AI Market
- 8.3.6. Rest of Asia Pacific Deepfake AI Market
8.4. Latin America Deepfake AI Market
- 8.4.1. Brazil Deepfake AI Market
- 8.4.2. Mexico Deepfake AI Market
- 8.4.3. Rest of Latin America Deepfake AI Market
8.5. Middle East & Africa Deepfake AI Market
- 8.5.1. Saudi Arabia Deepfake AI Market
- 8.5.2. South Africa Deepfake AI Market
- 8.5.3. Rest of Middle East & Africa Deepfake AI Market

Chapter 9. Competitive Intelligence

9.1. Key Company SWOT Analysis
9.2. Top Market Strategies
9.3. Company Profiles
- 9.3.1. Microsoft
  - 9.3.1.1. Key Information
  - 9.3.1.2. Overview
  - 9.3.1.3. Financial (Subject to Data Availability)
  - 9.3.1.4. Product Summary
  - 9.3.1.5. Market Strategies
- 9.3.2. AWS
- 9.3.3. Google
- 9.3.4. Intel
- 9.3.5. Veritone
- 9.3.6. Cogito Tech
- 9.3.7. Primeau Forensics
- 9.3.8. iProov
- 9.3.9. Kairos
- 9.3.10. ValidSoft
- 9.3.11. Safilo Group S.P.A
- 9.3.12. Silhouette International Schmied AG
- 9.3.13. EssilorLuxottica
- 9.3.14. Mondottica Limited
- 9.3.15. Fielmann Group AG

Chapter 10. Research Process

10.1. Research Process
- 10.1.1. Data Mining
- 10.1.2. Analysis
- 10.1.3. Market Estimation
- 10.1.4. Validation
- 10.1.5. Publishing
10.2. Research Attributes