全球深度伪造人工智慧市场：依类型、应用、地区、机会、预测，2017-2031年

2024-2031年预测期间，全球深度伪造人工智慧市场规模将以35.62%的年复合成长率扩大，从2023年的6.0111亿美元成长到2031年的68.7929亿美元。

深度伪造AI 是 "深度学习" 和 "伪造" 两个词的组合，利用深度学习技术和人工智慧（AI），是一种创造高度逼真的伪造或更改的技术，通常是影片、照片和录音形式的数位材料。 深度伪造技术的应用范围非常广泛，可以正面使用，也可以反面使用。创建深度伪造不再局限于专家，而是变得对任何人来说都变得更加容易和容易。目前，这项技术的生产性用途广泛增加，例如创造新的艺术作品、吸引观众并为他们提供独特的体验。例如，佛罗里达州圣彼得堡的达利博物馆为参观者创造了与萨尔瓦多·达利见面的可能性，并与他的生活进行更多互动，透过人工智慧了解这位伟人。 深度伪造技术现在也应用于广告和商业领域。 深度伪造也用来创建着名的蒙娜丽莎艺术品的副本，例如，许多工程师使用这些图像来创建着名的蒙娜丽莎艺术品的影片。

此外，全球 YouTube 和 Instagram 用户数量的爆炸性成长也对深度伪造AI 市场产生重大影响。这些平台上的内容创作者努力吸引并保持受众的注意力，而深度伪造技术为创建引人入胜且视觉上引人注目的内容提供了宝贵的工具。该技术允许创作者真实地转换影像和声音，实现创新效果，例如将自己插入着名的电影场景或模拟与名人的互动。此类功能有助于的内容在过度饱和的市场中脱颖而出，并吸引更多的观看次数和追踪者。此外，随着用户寻求独特的方式来区​​分自己并与受众建立联繫，个人化内容的趋势推动对深度伪造的需求。透过提供一种创建客製化和富有想像力的内容的方法，深度伪造AI 支援对新的、令人兴奋的材料的持续探索，推动它们的采用和整合到内容创建策略中。因此，社群媒体平台的成长不仅扩大了深度伪造技术的用户群，也加速了在数位媒体领域的演进和应用。

本报告调查了全球深度造假人工智慧市场，并提供了市场概况，包括依类型、应用、地区的趋势，以及进入市场的市场的公司概况。

目录

第1章 专案范围与定义

第2章 研究方法

第3章 执行摘要

第4章 顾客回馈

第5章 2017-2031年全球深度伪造AI 市场前景

• 市场规模分析与预测
• 市占率分析与预测
• 2023年市场地图分析
  • 依类型
  • 依用途
  • 依地区

第6章 北美深度伪造AI 市场展望，2017-2031

第7章 欧洲深度伪造AI 市场展望，2017-2031

第8章 亚太地区深度伪造AI 市场展望，2017-2031

第9章 南美洲深度伪造AI 市场展望，2017-2031

第10章 中东与非洲深度伪造AI 市场展望，2017-2031

第11章 供需分析

第12章 价值链分析

第13章 波特五力分析

第14章 PESTLE分析

第15章 价格分析

第16章 市场动态

第17章 市场趋势与发展

第18章 个案研究

第19章 竞争态势

• 前 5 名市场领导者的竞争矩阵
• 前 5 名进入公司的SWOT 分析
• 市场前10位主要参与者的情况
  • Microsoft Corporation
  • NVIDIA Corporation
  • Adobe Inc.
  • Google
  • Intel
  • Reface
  • Zao App
  • Synthesia Limited
  • DeepTrace Technologies SRL
  • Sensity AI

第20章 策略建议

第21章 查询及免责声明

Global deepfake AI market is projected to witness a CAGR of 35.62% during the forecast period 2024-2031, growing from USD 601.11 million in 2023 to USD 6879.29 million in 2031.

Deepfake AI, which combines the terms "deep learning" and "fake," is a technology that creates extremely realistic fake or modified digital material, usually in the form of movies, photos, or audio recordings, by utilizing deep learning techniques and Artificial Intelligence (AI). Deepfake technology has a huge range of applications that could be used both positively and negatively. The deepfake creation is no longer limited to experts; it is now much easier and more accessible to anyone. Nowadays, the productive use of this technology has increased widely, for example, in creating new artwork, engaging audiences, and giving them unique experiences. For instance, the Dal's Museum in St. Petersburg, Florida, created a possibility for its visitors to meet Salvador Dal and engage with his life more interactively to know this great personality via artificial intelligence. Deepfake technology is now used both for advertising and business purposes as well. Deepfake is also being used to make copies of famous artwork, such as creating videos of famous Monalisa artwork using the image by many technologists.

Moreover, the explosion of YouTube and Instagram users worldwide has significantly impacted the deepfake AI market. As content creators across these platforms strive to capture and retain audience attention, deepfake technology provides a valuable tool for crafting engaging and visually compelling content. This technology allows creators to alter video and audio realistically, enabling innovative effects such as inserting themselves into famous movie scenes or simulating celebrity interactions. Such capabilities help content stand out in an oversaturated market, drawing more views and followers. Additionally, the trend toward personalized content fuels the demand for deepfakes, as users seek unique ways to differentiate themselves and connect with their audience. By offering a means to create tailored and imaginative content, deepfake AI supports the constant quest for new and exciting material, driving its adoption and integration into content creation strategies. Consequently, the growth of social media platforms not only expands the user base for deepfake technology but also accelerates its evolution and application in the realm of digital media.

However, the unethical use of deepfake technology has harmful consequences in society, either in the short term or in the long term. People regularly using social media are at a huge risk of deepfake. However, proper use of this technology is anticipated to bring many positive results. Deepfake and technology related to this are evolving rapidly currently. It has ample applications that are used for malicious work against people, especially against celebrities and political entities. The most common use of deepfake technology is to make unauthorized video of well-known faces and it is rapidly increasing day by day. The other most malicious application of Deepfake is to exploit world leaders and politicians by making fake videos of them. Almost all world leaders, including Barack Obama, Donald Trump, Nency Pelosi, and Angela Merkel, all are exploited by fake videos somehow, and even Facebook founder Mark Zuckerberg has faced similar occurrences.

Increasing Concerns About Misinformation is Driving the Demand for Deepfake AI Market

The significant advances in deepfake AI technology are raising serious concerns about the spread of misleading information, thereby increasing the demand for deepfake AI detection software and services. For instance, in June 2024, an Indian Ayurveda Practitioner from Andheri, Mumbai, became a victim of a deepfake video scam. The person lost over USD 8,400 in a fraudulent share trading scheme advertised through the deepfake video of industrialist Mukesh Ambani. This escalating problem has heightened the need for sophisticated AI tools designed to detect and combat deepfakes. Enterprises globally are investing and looking for advanced technologies to validate content and shield the potential harm due to the spread of misinformation, thereby driving the surge in demand for deepfake detection and verification solutions.

Rising Demand of Deepfake AI in Revolutionizing VFX Technology

Deepfake AI technology unveiled new ways for filmmakers to make video production more affordable and creative. The innovation showed impact on audiences by connecting them with their favorite celebrity past their deaths. Historically, video making included constructing sets and scouting locations physically, making the budget high. Whereas the advent of deepfake AI technology enables filmmakers to design sets and backgrounds virtually, eliminating unnecessary material, labor, and permit costs.

For example, in the season two finale of The Mandalorian, the sudden appearance of a young Luke Skywalker sparked news highlighting the effectiveness of deepfake technology in VFX technology. Similarly, in February 2024, the British rock band IDLES launched an unexpected collaboration, merging the visual elements of Coldplay's classic track 'Yellow' with their new single 'Grace'.

North America is Anticipated to Hold a Significant Share of the Market

The presence of prominent technology firms and startups in countries like the United States and Canada in North America is driving the significant demand and growth of the deepfake AI market as these firms and startups are continuously inviting innovations and advancement in the AI and machine learning sector. Moreover, advanced digital infrastructure and high-speed internet accessibility are further accelerating the creation and consumption of deepfake content in North America. Also, to restrict unauthorized usage, the region's government is investing in enhancing, developing, and adopting detection tools.

For instance, in February 2024, the U.S. Federal Communications Commission outlawed robocalls generated by artificial intelligence. AI robocalls have been used globally to misinform voters by mimicking celebrities and political candidates, showing the tech's ability to disrupt campaigns during a busy election year.

Future Market Scenario (2024-2031F)

The growing evolution of AI and machine learning technology is fueling the growth of deepfake tools and technology, making it more sophisticated and harder to distinguish between original and fake content.

The widespread adoption of deepfake has raised serious ethical and legal concerns. In response, official organizations worldwide are gearing up to implement stringent regulations and develop advanced technologies to identify and prevent the harmful effects of deepfakes. This concerted effort is expected to lead to a more regulated deepfake AI market, strongly emphasizing responsible usage.

In sectors like films, television, and video games, providing more realistic special effects and performances, deepfake technology exhibits significant applications. This sector is estimated to see an uptick in investments as technology becomes more refined and accessible with time.

With the advent of user-friendly and affordable technology, businesses and individuals will seek deepfakes for more creative, educational, and marketing reasons, which is anticipated to lead to deepfake content in various media channels.

As people become more aware of audio and video deepfake scams, the demand for advanced detection and prevention software and solutions is estimated to be in demand in coming years, driving the further growth of deepfake AI market globally.

Key Players Landscape and Outlook

The deepfake AI space has quickly grown into a vibrant, dynamic ecosystem with major players who are shaping its present and future. The early adaptors, technology titans like McAfee, Microsoft, and Adobe, seek to safeguard digital security as well as authenticity by developing novel avenues of diagnosing deepfakes for defense. For example, in August 2024 global cybersecurity leader McAfee introduced the latest addition to its line of products powered by AI, the Mcaffee Deepfake Detector, as real and fake AI-generated videos (i.e. deepfakes) are posted on social media.

Also, tech giants like Google are bringing innovation within the deepfake AI market. For instance, in March 2024, Google announced a collaboration with Shakti, the India Election Fact-Checking Collective, to address deepfakes during general elections that began on 01 March 2024. The company offered a shared platform to information checkers and Indian language content publishers. The platform supported the exchange of fact-checkers, research sources, and alerts regarding election-related information.

Similarly, in March 2024, PeakMetrics Inc., a Narrative Intelligence company, announced a strategic partnership with Reality Defender, a deepfake and artificial intelligence-generated media platform startup to address digital deception and deepfakes. These growing number of partnerships and collaborations within the deepfake AI market landscape are further adding value to the market.

To deliver this surge in AI-based scams and the spread of miscommunication, McAfee partnered with Lenovo to deliver advanced deepfake detection technology to people who purchase select Lenovo AI PCs. Furthermore, the company is launching the Smart AI Hub, which provides educational resources and interactive tools to raise awareness related to deepfakes and AI-based scams.

Moreover, key startups like Sensity AI and Deeptrace are focusing on advanced deepfake detection technologies and tools. The deepfake AI market is also witnessing growing investments from venture capitalists and partnerships between tech firms and cybersecurity experts globally to develop robust defensive measures. For instance, in February 2024, Meta and the Misinformation Combat Alliance (MCA) joined forces to introduce a WhatsApp helpline to deal with AI-generated misinformation, especially deepfakes. This initiative, set to launch in March 2024, is designed to help the public distinguish between genuine and fabricated content by providing a platform for reporting and verifying suspicious media.

In July 2024, Hiya, a significant player in global voice security services, acquired Loccus.ai, a leading firm in deepfake detection technology. Loccus.ai specializes in the real-time identification of AI-generated voices, establishing a new standard for accuracy in the field.

Table of Contents

1. Project Scope and Definitions

2. Research Methodology

3. Executive Summary

4. Voice of Customer

• 4.1. Product and Market Intelligence
• 4.2. Factors Considered in Purchase Decisions
  • 4.2.1. Features and Other Value-Added Service
  • 4.2.2. IT Infrastructure Compatibility
  • 4.2.3. Efficiency of Solutions
  • 4.2.4. After-Sales Support
• 4.3. Consideration of Privacy and Regulations

5. Global Deepfake AI Market Outlook, 2017-2031F

• 5.1. Market Size Analysis & Forecast
  • 5.1.1. By Value
• 5.2. Market Share Analysis & Forecast
  • 5.2.1. By Type
    • 5.2.1.1. Video Deepfake
    • 5.2.1.2. Audio Deepfake
  • 5.2.2. By Applications
    • 5.2.2.1. Security and Surveillance
    • 5.2.2.2. Social Media and Entertainment
    • 5.2.2.3. Marketing and Advertising
    • 5.2.2.4. Education
    • 5.2.2.5. Others
  • 5.2.3. By Region
    • 5.2.3.1. North America
    • 5.2.3.2. Europe
    • 5.2.3.3. Asia-Pacific
    • 5.2.3.4. South America
    • 5.2.3.5. Middle East and Africa
  • 5.2.4. By Company Market Share Analysis (Top 5 Companies and Others - By Value, 2023)
• 5.3. Market Map Analysis, 2023
  • 5.3.1. By Type
  • 5.3.2. By Applications
  • 5.3.3. By Region

6. North America Deepfake AI Market Outlook, 2017-2031F*

• 6.1. Market Size Analysis & Forecast
  • 6.1.1. By Value
• 6.2. Market Share Analysis & Forecast
  • 6.2.1. By Type
    • 6.2.1.1. Video Deepfake
    • 6.2.1.2. Audio Deepfake
  • 6.2.2. By Applications
    • 6.2.2.1. Security and Surveillance
    • 6.2.2.2. Social Media and Entertainment
    • 6.2.2.3. Marketing and Advertising
    • 6.2.2.4. Education
    • 6.2.2.5. Others
  • 6.2.3. By Country Share
    • 6.2.3.1. United States
    • 6.2.3.2. Canada
    • 6.2.3.3. Mexico
• 6.3. Country Market Assessment
  • 6.3.1. United States Deepfake AI Market Outlook, 2017-2031F*
    • 6.3.1.1. Market Size Analysis & Forecast
      • 6.3.1.1.1. By Value
    • 6.3.1.2. Market Share Analysis & Forecast
      • 6.3.1.2.1. By Type
        • 6.3.1.2.1.1. Video Deepfake
        • 6.3.1.2.1.2. Audio Deepfake
      • 6.3.1.2.2. By Applications
        • 6.3.1.2.2.1. Security and Surveillance
        • 6.3.1.2.2.2. Social Media and Entertainment
        • 6.3.1.2.2.3. Marketing and Advertising
        • 6.3.1.2.2.4. Education
        • 6.3.1.2.2.5. Others
  • 6.3.2. Canada
  • 6.3.3. Mexico

All segments will be provided for all regions and countries covered

7. Europe Deepfake AI Market Outlook, 2017-2031F

• 7.1. Germany
• 7.2. France
• 7.3. Italy
• 7.4. United Kingdom
• 7.5. Russia
• 7.6. Netherlands
• 7.7. Spain
• 7.8. Turkey
• 7.9. Poland

8. Asia-Pacific Deepfake AI Market Outlook, 2017-2031F

• 8.1. India
• 8.2. China
• 8.3. Japan
• 8.4. Australia
• 8.5. Vietnam
• 8.6. South Korea
• 8.7. Indonesia
• 8.8. Philippines

9. South America Deepfake AI Market Outlook, 2017-2031F

• 9.1. Brazil
• 9.2. Argentina

10. Middle East and Africa Deepfake AI Market Outlook, 2017-2031F

• 10.1. Saudi Arabia
• 10.2. UAE
• 10.3. South Africa

11. Demand Supply Analysis

12. Value Chain Analysis

13. Porter's Five Forces Analysis

14. PESTLE Analysis

15. Pricing Analysis

16. Market Dynamics

• 16.1. Market Drivers
• 16.2. Market Challenges

17. Market Trends and Developments

18. Case Studies

19. Competitive Landscape

• 19.1. Competition Matrix of Top 5 Market Leaders
• 19.2. SWOT Analysis for Top 5 Players
• 19.3. Key Players Landscape for Top 10 Market Players
  • 19.3.1. Microsoft Corporation
    • 19.3.1.1. Company Details
    • 19.3.1.2. Key Management Personnel
    • 19.3.1.3. Products and Services
    • 19.3.1.4. Financials (As Reported)
    • 19.3.1.5. Key Market Focus and Geographical Presence
    • 19.3.1.6. Recent Developments/Collaborations/Partnerships/Mergers and Acquisition
  • 19.3.2. NVIDIA Corporation
  • 19.3.3. Adobe Inc.
  • 19.3.4. Google
  • 19.3.5. Intel
  • 19.3.6. Reface
  • 19.3.7. Zao App
  • 19.3.8. Synthesia Limited
  • 19.3.9. DeepTrace Technologies SRL
  • 19.3.10. Sensity AI

Companies mentioned above DO NOT hold any order as per market share and can be changed as per information available during research work.

20. Strategic Recommendations

21. About Us and Disclaimer

List of Tables

• Table 1. Pricing Analysis of Products from Key Players
• Table 2. Competition Matrix of Top 5 Market Leaders
• Table 3. Mergers & Acquisitions/ Joint Ventures (If Applicable)
• Table 4. About Us - Regions and Countries Where We Have Executed Client Projects

List of Figures

• Figure 1. Global Deepfake AI Market, By Value, In USD Million, 2017-2031F
• Figure 2. Global Deepfake AI Market Share (%), By Type, 2017-2031F
• Figure 3. Global Deepfake AI Market Share (%), By Applications, 2017-2031F
• Figure 4. Global Deepfake AI Market Share (%), By Region, 2017-2031F
• Figure 5. North America Deepfake AI Market, By Value, In USD Million, 2017-2031F
• Figure 6. North America Deepfake AI Market Share (%), By Type, 2017-2031F
• Figure 7. North America Deepfake AI Market Share (%), By Applications, 2017-2031F
• Figure 8. North America Deepfake AI Market Share (%), By Country, 2017-2031F
• Figure 9. United States Deepfake AI Market, By Value, In USD Million, 2017-2031F
• Figure 10. United States Deepfake AI Market Share (%), By Type, 2017-2031F
• Figure 11. United States Deepfake AI Market Share (%), By Applications, 2017-2031F
• Figure 12. Canada Deepfake AI Market, By Value, In USD Million, 2017-2031F
• Figure 13. Canada Deepfake AI Market Share (%), By Type, 2017-2031F
• Figure 14. Canada Deepfake AI Market Share (%), By Applications, 2017-2031F
• Figure 15. Mexico Deepfake AI Market, By Value, In USD Million, 2017-2031F
• Figure 16. Mexico Deepfake AI Market Share (%), By Type, 2017-2031F
• Figure 17. Mexico Deepfake AI Market Share (%), By Applications, 2017-2031F
• Figure 18. Europe Deepfake AI Market, By Value, In USD Million, 2017-2031F
• Figure 19. Europe Deepfake AI Market Share (%), By Type, 2017-2031F
• Figure 20. Europe Deepfake AI Market Share (%), By Applications, 2017-2031F
• Figure 21. Europe Deepfake AI Market Share (%), By Country, 2017-2031F
• Figure 22. Germany Deepfake AI Market, By Value, In USD Million, 2017-2031F
• Figure 23. Germany Deepfake AI Market Share (%), By Type, 2017-2031F
• Figure 24. Germany Deepfake AI Market Share (%), By Applications, 2017-2031F
• Figure 25. France Deepfake AI Market, By Value, In USD Million, 2017-2031F
• Figure 26. France Deepfake AI Market Share (%), By Type, 2017-2031F
• Figure 27. France Deepfake AI Market Share (%), By Applications, 2017-2031F
• Figure 28. Italy Deepfake AI Market, By Value, In USD Million, 2017-2031F
• Figure 29. Italy Deepfake AI Market Share (%), By Type, 2017-2031F
• Figure 30. Italy Deepfake AI Market Share (%), By Applications, 2017-2031F
• Figure 31. United Kingdom Deepfake AI Market, By Value, In USD Million, 2017-2031F
• Figure 32. United Kingdom Deepfake AI Market Share (%), By Type, 2017-2031F
• Figure 33. United Kingdom Deepfake AI Market Share (%), By Applications, 2017-2031F
• Figure 34. Russia Deepfake AI Market, By Value, In USD Million, 2017-2031F
• Figure 35. Russia Deepfake AI Market Share (%), By Type, 2017-2031F
• Figure 36. Russia Deepfake AI Market Share (%), By Applications, 2017-2031F
• Figure 37. Netherlands Deepfake AI Market, By Value, In USD Million, 2017-2031F
• Figure 38. Netherlands Deepfake AI Market Share (%), By Type, 2017-2031F
• Figure 39. Netherlands Deepfake AI Market Share (%), By Applications, 2017-2031F
• Figure 40. Spain Deepfake AI Market, By Value, In USD Million, 2017-2031F
• Figure 41. Spain Deepfake AI Market Share (%), By Type, 2017-2031F
• Figure 42. Spain Deepfake AI Market Share (%), By Applications, 2017-2031F
• Figure 43. Turkey Deepfake AI Market, By Value, In USD Million, 2017-2031F
• Figure 44. Turkey Deepfake AI Market Share (%), By Type, 2017-2031F
• Figure 45. Turkey Deepfake AI Market Share (%), By Applications, 2017-2031F
• Figure 46. Poland Deepfake AI Market, By Value, In USD Million, 2017-2031F
• Figure 47. Poland Deepfake AI Market Share (%), By Type, 2017-2031F
• Figure 48. Poland Deepfake AI Market Share (%), By Applications, 2017-2031F
• Figure 49. South America Deepfake AI Market, By Value, In USD Million, 2017-2031F
• Figure 50. South America Deepfake AI Market Share (%), By Type, 2017-2031F
• Figure 51. South America Deepfake AI Market Share (%), By Applications, 2017-2031F
• Figure 52. South America Deepfake AI Market Share (%), By Country, 2017-2031F
• Figure 53. Brazil Deepfake AI Market, By Value, In USD Million, 2017-2031F
• Figure 54. Brazil Deepfake AI Market Share (%), By Type, 2017-2031F
• Figure 55. Brazil Deepfake AI Market Share (%), By Applications, 2017-2031F
• Figure 56. Argentina Deepfake AI Market, By Value, In USD Million, 2017-2031F
• Figure 57. Argentina Deepfake AI Market Share (%), By Type, 2017-2031F
• Figure 58. Argentina Deepfake AI Market Share (%), By Applications, 2017-2031F
• Figure 59. Asia-Pacific Deepfake AI Market, By Value, In USD Million, 2017-2031F
• Figure 60. Asia-Pacific Deepfake AI Market Share (%), By Type, 2017-2031F
• Figure 61. Asia-Pacific Deepfake AI Market Share (%), By Applications, 2017-2031F
• Figure 62. Asia-Pacific Deepfake AI Market Share (%), By Country, 2017-2031F
• Figure 63. India Deepfake AI Market, By Value, In USD Million, 2017-2031F
• Figure 64. India Deepfake AI Market Share (%), By Type, 2017-2031F
• Figure 65. India Deepfake AI Market Share (%), By Applications, 2017-2031F
• Figure 66. China Deepfake AI Market, By Value, In USD Million, 2017-2031F
• Figure 67. China Deepfake AI Market Share (%), By Type, 2017-2031F
• Figure 68. China Deepfake AI Market Share (%), By Applications, 2017-2031F
• Figure 69. Japan Deepfake AI Market, By Value, In USD Million, 2017-2031F
• Figure 70. Japan Deepfake AI Market Share (%), By Type, 2017-2031F
• Figure 71. Japan Deepfake AI Market Share (%), By Applications, 2017-2031F
• Figure 72. Australia Deepfake AI Market, By Value, In USD Million, 2017-2031F
• Figure 73. Australia Deepfake AI Market Share (%), By Type, 2017-2031F
• Figure 74. Australia Deepfake AI Market Share (%), By Applications, 2017-2031F
• Figure 75. Vietnam Deepfake AI Market, By Value, In USD Million, 2017-2031F
• Figure 76. Vietnam Deepfake AI Market Share (%), By Type, 2017-2031F
• Figure 77. Vietnam Deepfake AI Market Share (%), By Applications, 2017-2031F
• Figure 78. South Korea Deepfake AI Market, By Value, In USD Million, 2017-2031F
• Figure 79. South Korea Deepfake AI Market Share (%), By Type, 2017-2031F
• Figure 80. South Korea Deepfake AI Market Share (%), By Applications, 2017-2031F
• Figure 81. Indonesia Deepfake AI Market, By Value, In USD Million, 2017-2031F
• Figure 82. Indonesia Deepfake AI Market Share (%), By Type, 2017-2031F
• Figure 83. Indonesia Deepfake AI Market Share (%), By Applications, 2017-2031F
• Figure 84. Philippines Deepfake AI Market, By Value, In USD Million, 2017-2031F
• Figure 85. Philippines Deepfake AI Market Share (%), By Type, 2017-2031F
• Figure 86. Philippines Deepfake AI Market Share (%), By Applications, 2017-2031F
• Figure 87. Middle East & Africa Deepfake AI Market, By Value, In USD Million, 2017-2031F
• Figure 88. Middle East & Africa Deepfake AI Market Share (%), By Type, 2017-2031F
• Figure 89. Middle East & Africa Deepfake AI Market Share (%), By Applications, 2017-2031F
• Figure 90. Middle East & Africa Deepfake AI Market Share (%), By Country, 2017-2031F
• Figure 91. Saudi Arabia Deepfake AI Market, By Value, In USD Million, 2017-2031F
• Figure 92. Saudi Arabia Deepfake AI Market Share (%), By Type, 2017-2031F
• Figure 93. Saudi Arabia Deepfake AI Market Share (%), By Applications, 2017-2031F
• Figure 94. UAE Deepfake AI Market, By Value, In USD Million, 2017-2031F
• Figure 95. UAE Deepfake AI Market Share (%), By Type, 2017-2031F
• Figure 96. UAE Deepfake AI Market Share (%), By Applications, 2017-2031F
• Figure 97. South Africa Deepfake AI Market, By Value, In USD Million, 2017-2031F
• Figure 98. South Africa Deepfake AI Market Share (%), By Type, 2017-2031F
• Figure 99. South Africa Deepfake AI Market Share (%), By Applications, 2017-2031F
• Figure 100. By Type Map-Market Size (USD Million) & Growth Rate (%), 2023
• Figure 101. By Applications Map-Market Size (USD Million) & Growth Rate (%), 2023
• Figure 102. By Region Map-Market Size (USD Million) & Growth Rate (%), 2023