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Deepfake AI involves the application of deep learning, especially GAN that is used to generate synthesized media by either replacing the real content or by producing a fake identity of a person. It is used extensively in entertainment, advertisements, and generating personalized content but has obvious ethical issues for its usage.

The Deepfake AI Market is expected to grow with a significant CAGR of 40.5% during the forecast period (2024-2032). This is mainly due to personalization in marketing, sophistication in the AI industry, and affordable ways to produce content. The rising usage of media and communications, e-business, and virtual contact also contribute to market growth. In the industry, deepfake AI is a new platform to create content and develop advertising techniques, and training applications to improve user experience. Moreover, due to ethical and regulatory concerns about misuse and privacy, there are forces for responsible use that define future market conditions.

For instance, on August 7, 2024, Santander, a leading global bank, announced a new initiative to combat the growing threat of AI deepfake scams. The campaign highlights the increasing risk posed by advanced generative AI technologies and aims to educate the public on recognizing and protecting themselves from these sophisticated fraud tactics.

Based on the offering, the market is segmented into software and services. The software held a significant share of the market in 2023. The software segment has also a remarkable role in the promotion and adaptation of the deepfake AI market through the availability of simple-to-use tools to create superior fake data in the least time. In addition, many software solutions contain inbuilt tools for the fight against deepfakes that prevent the questionable usage of such technology and increase confidence among customers. Also, more recent changes in software capabilities and effectiveness help to bring the cost of production down, which means more organizations turn to deepfake technologies. In July 2024, CivAI, a nonprofit that builds concrete understanding of AI capabilities and dangers through interactive software, announced the launch of CivAI's Deepfake Sandbox - a free, public tool that allows anyone to create an image deepfake of themselves and learn more about generative AI in under 30 seconds. Created with publicly available software, CivAI's Deepfake Sandbox offers everyone the opportunity to experiment with high-quality deepfakes and learn more about the risks generative AI poses for democracy, media, cybercrime, and more.

Based on technology, the market is segmented into Generative Adversarial Networks (GANs), Transformative Models, Recurrent Neural Networks (RNNs), Auto encoders, Natural Language Processing (NLP), and others. Generative Adversarial Networks (GANs) held a significant share of the market in 2023. GANs propel the development of deepfake AI predominantly because of the use of the underlying technology that is GAN for producing synthetic media. The GANs incorporate the networks of generator and discriminator to enhance the quality and realism of deepfake results and reduce the ability to distinguish fake media from real ones. This technology has made it easier for firms that want to develop content that is unique for each client because GANs provide efficient media generation. With time, GAN opens up for small businesses and content producers playing a major role in the use of deepfake. Further, GANs are indispensable in marketing and e-commerce as well as virtual reality, boosting market demand.

Based on the application, the market is segmented into entertainment, advertising, security and surveillance, gaming, education and training, and others. Entertainment held a considerable share of the market in 2023. This industry is mostly used because of many users of deepfake AI that participate in storytelling, special effects, or reconstructing the characters. Adding to this, deepfake AI has also been used by production companies to cut the cost of CGI and other standard techniques for making quality content. Moreover, it is also the use of deepfake technology to develop social media interactive filters, avatars, and personalized media to attract more of the young audience as well as enhance user engagement to social networks. In October 2024, Mind Over Media, an innovative AI startup, announced a strategic partnership with DeepTrust, a leader in deepfake detection, to safeguard creative intellectual property and brand integrity. The entertainment industry now has a powerful new weapon in the fight against deepfakes.

For a better understanding of the market adoption of Deepfake AI, the market is analyzed based on its worldwide presence in countries such as North America (U.S., Canada, and the Rest of North America), Europe (Germany, France, U.K., Spain, Italy, Rest of Europe), Asia-Pacific (China, Japan, India, Rest of Asia-Pacific), Rest of World. North America held a dominant share of the deepfake AI market in 2023 owing to the technologically advanced structure and huge investments in artificial intelligence. For example, on October 22, 2024, Accenture made a strategic investment, through Accenture Ventures, in Reality Defender, an RSA Innovation award-winning cybersecurity company specializing in deepfake detection. Together, Accenture and Reality Defender will equip clients in the financial services, media, and high-tech industries with the ability to rapidly identify, detect, respond to, and prevent deepfake fraud. The entertainment and media sectors are strongly developed in the region, and they widely adopt deepfake technology for generating interactions for the viewers to become more personal. Also, the market has strong aspirations because famous tech-science companies as well as startups located in this region are investing and constantly developing deepfake solutions. This application of deepfake AI in advertising, education, and virtual reality widens the demand for deepfake AI in every market. Also, the application of ethics into deepfake production as well as increasing awareness and regulatory steps concerning the ethical use of deepfakes define the market contour that promotes safer use and fosters consumer confidence.

Some of the major players operating in the market include Pinscreen, Veritone, Inc., Hour One, D-ID AI Video, Deepgram, Faceswapper AI, Synthesia, Limited, Sensity B.V., Reface, DeepSwap.

TABLE OF CONTENTS

1.MARKET INTRODUCTION

• 1.1. Market Definitions
• 1.2. Main Objective
• 1.3. Stakeholders
• 1.4. Limitation

2.RESEARCH METHODOLOGY OR ASSUMPTION

• 2.1. Research Process of the Deepfake AI Market
• 2.2. Research Methodology of the Deepfake AI Market
• 2.3. Respondent Profile

3.EXECUTIVE SUMMARY

• 3.1. Industry Synopsis
• 3.2. Segmental Outlook
  • 3.2.1. Market Growth Intensity
• 3.3. Regional Outlook

4.MARKET DYNAMICS

• 4.1. Drivers
• 4.2. Opportunity
• 4.3. Restraints
• 4.4. Trends
• 4.5. PESTEL Analysis
• 4.6. Demand Side Analysis
• 4.7. Supply Side Analysis
  • 4.7.1. Merger & Acquisition
  • 4.7.2. Investment Scenario
  • 4.7.3. Industry Insights: Leading Startups and Their Unique Strategies

5.PRICING ANALYSIS

• 5.1. Regional Pricing Analysis
• 5.2. Price Influencing Factors

6.GLOBAL DEEPFAKE AI MARKET REVENUE (USD MN), 2022-2032F

7.MARKET INSIGHTS BY OFFERING

• 7.1. Software
• 7.2. Services

8.MARKET INSIGHTS BY TECHNOLOGY

• 8.1. Generative Adversarial Networks (GANs)
• 8.2. Transformative Models
• 8.3. Recurrent Neural Networks (RNNs)
• 8.4. Auto encoders
• 8.5. Natural Language Processing (NLP)
• 8.6. Others

9.MARKET INSIGHTS BY APPLICATION

• 9.1. Entertainment
• 9.2. Advertising
• 9.3. Security and Surveillance
• 9.4. Gaming
• 9.5. Education and Training
• 9.6. Others

10.MARKET INSIGHTS BY REGION

• 10.1. North America
  • 10.1.1. U.S.
  • 10.1.2. Canada
  • 10.1.3. Rest of North America
• 10.2. Europe
  • 10.2.1. Germany
  • 10.2.2. France
  • 10.2.3. UK
  • 10.2.4. Spain
  • 10.2.5. Italy
  • 10.2.6. Rest of Europe
• 10.3. Asia-Pacific
  • 10.3.1. China
  • 10.3.2. Japan
  • 10.3.3. India
  • 10.3.4. Rest of APAC
• 10.4. Rest of the World

11.VALUE CHAIN ANALYSIS

• 11.1. List of Market Participants

12.COMPETITIVE LANDSCAPE

• 12.1. Competition Dashboard
• 12.2. Competitor Market Positioning Analysis
• 12.3. Porter Five Forces Analysis

13.COMPANY PROFILES

• 13.1. Pinscreen
  • 13.1.1. Company Overview
  • 13.1.2. Key Financials
  • 13.1.3. SWOT Analysis
  • 13.1.4. Product Portfolio
  • 13.1.5. Recent Developments
• 13.2. Veritone, Inc.
• 13.3. Hour One
• 13.4. D-ID AI Video
• 13.5. Deepgram
• 13.6. Faceswapper AI
• 13.7. Synthesia Limited
• 13.8. Sensity B.V.
• 13.9. Reface
• 13.10. DeepSwap

14.ACRONYMS & ASSUMPTION

15.ANNEXURE