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市场调查报告书
商品编码
1662641

2030 年深度造假 AI 市场预测：按组件、类型、检测方法、部署模式、技术、应用和地区进行的全球分析

Deepfake AI Market Forecasts to 2030 - Global Analysis By Component (Software and Service), Type, Detection Methods, Deployment Mode, Technology, Application and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3个工作天内

价格

根据 Stratistics MRC 的数据，全球深度造假AI 市场规模预计在 2024 年达到 8.0761 亿美元，到 2030 年将达到 70.5208 亿美元，预测期内的复合年增长率为 43.5%。

深度造假 AI 是一个术语，用于描述使用人工智慧，特别是生成对抗网路 (GAN) 等深度学习技术来创建超现实的材料，包括照片、影片和音讯。 深度造假技术可以创造出看似真实但实际上完全是假的内容，经常允许人们传播虚假讯息或冒充他人。 深度造假技术被用于教育和娱乐，但它也引发了有关安全性、隐私性的道德问题，以及它被滥用于虚假宣传活动和诈骗等邪恶活动的可能性。

人工智慧和机器学习的进步

机器学习和人工智慧的发展是推动深度造假人工智慧市场的主要因素，大大提高了深度造假创作的效率、真实感和准确性。透过从大量资料中学习，自动编码器和生成对抗网路 (GAN) 等技术使机器能够製作出令人惊嘆的逼真的照片、影片和音讯。由于这些演算法善于与现实世界的资讯融合， 深度造假在行销、娱乐和虚拟体验等行业越来越受欢迎。此外，机器学习模型也不断改进，使得更容易准确地模仿人类的特征和行为。

隐私和安全风险

深度造假人工智慧业务带来了严重的隐私和安全问题，因为该技术可用于创建模仿人的声音、外表或行为的虚假内容。敌对行为者可能将深度造假用于各种有害目的，导致身分窃盗、金融诈骗和声誉损害。此外，深度造假技术允许在未经个人许可的情况下使用个人肖像，从而使个人隐私面临风险。随着深度造假变得越来越逼真，它们也带来了巨大的安全风险，因为它们增加了操纵、勒索和虚假资讯的可能性。鑑于这种日益严重的威胁，我们需要采取强有力的措施来保护人们的身分和资料，包括深度造假检测系统、法律保障和隐私立法。

虚拟实境 (VR) 和游戏领域的应用不断扩大

Deepfake 技术允许开发人员透过使用逼真的面部表情、手势和声音增强化身和角色模型来创建高度逼真和身临其境的虚拟环境。这项技术可以使角色更像现实生活中的人物或创造全新的虚拟角色，从而实现更个人化的游戏体验。在 VR 应用中， 深度造假可用于模拟真实场景，例如训练环境或互动式模拟。随着对逼真和互动式虚拟世界的需求不断增长，将深度造假AI 融入 VR 和游戏中为提高用户参与度和创造下一代体验提供了令人兴奋的机会。

消费者风险意识有限

很多人并没有意识到深度造假可能带来的风险，包括身分盗窃、虚假资讯和操纵。客户可能没有完全意识到深度造假技术能够创造出极其逼真但完全虚假的材料，从而对隐私和安全造成严重威胁。这种无知可能会导致假讯息在无意中传播，损害人们的声誉，影响舆论，甚至影响选举。为了降低深度造假带来的风险，必须教育公众如何识别虚假媒体、其潜在的道德影响以及明智使用该技术的价值。

COVID-19 的影响

COVID-19 疫情对深度造假AI 市场产生了多种影响。一方面，对数位媒体和远端通讯的依赖日益增加，加速了人工智慧主导的内容创作（包括深度造假）在虚拟会议、娱乐和教育中的应用。另一方面，人们对错误讯息传播的担忧，尤其是疫情期间的假新闻，提高了人们对深度造假技术潜在风险的认识。这导致人们更加关注开发深度造假检测工具和建立道德准则。

预计预测期内软体部分将成为最大的部分。

预计预测期内软体部分将占据最大的市场占有率。人工智慧深度造假软体使用生成对抗网路 (GAN) 和机器学习等技术轻鬆创建高度逼真的假图像、影片和音讯。专业人士和消费者越来越容易获得这些工具，使内容创作者、负责人和娱乐产业能够创造身临其境的体验。随着软体变得越来越复杂和用户友好，它在媒体、广告和游戏等领域的广泛应用将继续推动深度造假人工智慧市场的成长。

预计网路安全领域将在预测期内实现最高的复合年增长率。

由于深度造假技术的兴起对数位安全构成了重大威胁，预计网路安全领域将在预测期内见证最高成长率。 深度造假可用于冒充、诈骗和社交工程攻击，因此强有力的网路安全措施至关重要。随着深度造假变得越来越令人信服，公司、政府和个人都在投资人工智慧主导的深度造假工具来识别和防止其被恶意使用。对此类安全解决方案的日益增长的需求推动了深度造假检测技术的发展并促进了网路安全领域的市场发展。

比最大的地区

在预测期内，由于技术的快速进步、数位内容消费的增加以及各行业对人工智慧的应用不断增加，预计亚太地区将占据最大的市场占有率。中国、日本、韩国等国在人工智慧研究方面处于领先地位，并正在加速开发深度造假技术。此外，该地区游戏、娱乐和媒体领域的兴起也推动了对身临其境型内容的需求。此外，对网路安全解决方案的需求日益增长，以应对深度造假的风险，从而推动了该地区市场的成长。

复合年增长率最高的地区

在预测期内，北美地区预计将呈现最高的复合年增长率，这得益于人工智慧和机器学习技术的进步，尤其是在美国和加拿大。该地区在娱乐、媒体和游戏产业中占有重要地位，推动了对沉浸式数位内容和虚拟体验的需求。此外，深度造假人工智慧在广告、虚拟影响者和教育领域的应用日益增多，也推动了市场的成长。该地区也大力投资网路安全解决方案，以检测和打击深度造假的威胁，进一步刺激相关技术的创新和采用。

提供免费客製化

订阅此报告的客户可享有以下免费自订选项之一：

  • 公司简介
    • 对其他市场参与企业（最多 3 家公司）进行全面分析
    • 主要企业的 SWOT 分析（最多 3 家公司）
  • 地理细分
    • 根据客户兴趣对主要国家进行市场估计、预测和复合年增长率（註：基于可行性检查）
  • 竞争性基准化分析
    • 根据产品系列、地理分布和策略联盟对主要企业基准化分析

目录

第一章执行摘要

第 2 章 前言

  • 概述
  • 相关利益者
  • 研究范围
  • 调查方法
    • 资料探勘
    • 资料分析
    • 资料检验
    • 研究途径
  • 研究资讯来源
    • 主要研究资讯来源
    • 二手研究资料资讯来源
    • 先决条件

第三章 市场走势分析

  • 介绍
  • 驱动程式
  • 限制因素
  • 机会
  • 威胁
  • 技术分析
  • 应用分析
  • 新兴市场
  • COVID-19 的影响

第 4 章 波特五力分析

  • 供应商的议价能力
  • 买家的议价能力
  • 替代品的威胁
  • 新进入者的威胁
  • 竞争对手之间的竞争

第五章 全球深度造假 AI 市场按组件划分

  • 介绍
  • 软体
  • 服务

第六章 全球深度造假 AI 市场类型

  • 介绍
  • 图片深度造假
  • 音讯深度造假
  • 影片深度造假
  • 文字深度造假

7. 全球深度造假 AI 市场（依检测方法）

  • 介绍
  • 深度造假检测解决方案
  • 基于区块链的解决方案

8. 全球深度造假 AI 市场（依部署模式）

  • 介绍
  • 云端基础
  • 本地

第九章 全球深度造假 AI 市场（按技术）

  • 介绍
  • 生成对抗网路 (GAN)
  • 自动编码器
  • 循环神经网路 (RNN)
  • 转型模型
  • 自然语言处理 (NLP)
  • 扩散模型
  • 其他的

第 10 章 全球深度造假 AI 市场（按应用）

  • 介绍
  • 社群媒体
  • 娱乐和媒体
  • 网路安全
  • 行销和广告
  • 医疗
  • 电子商务
  • 其他的

第 11 章 全球深度造假 AI 市场（按地区）

  • 介绍
  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 义大利
    • 法国
    • 西班牙
    • 欧洲其他地区
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 澳洲
    • 纽西兰
    • 韩国
    • 其他亚太地区
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地区
  • 中东和非洲
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 卡达
    • 南非
    • 其他中东和非洲地区

第十二章 重大进展

  • 协议、伙伴关係、合作和合资企业
  • 收购与合併
  • 新产品发布
  • 业务扩展
  • 其他关键策略

第十三章 公司概况

  • Attestiv Inc.
  • Amazon Web Services
  • Deepware AS
  • D-ID
  • Google LLC
  • iDenfyTM
  • Intel Corporation
  • Kairos AR, Inc.
  • Microsoft
  • Oz Forensics
  • Reality Defender Inc.
  • Resemble AI
  • Sensity AI
  • Truepic
  • WeVerify
Product Code: SMRC28502

According to Stratistics MRC, the Global Deepfake AI Market is accounted for $807.61 million in 2024 and is expected to reach $7052.08 million by 2030 growing at a CAGR of 43.5% during the forecast period. Deepfake AI is the term used to describe the creation of hyper-realistic manipulated material, such as photos, movies, and audio, using artificial intelligence, specifically deep learning methods like Generative Adversarial Networks (GANs). It makes possible to create content that looks real but is completely fake, frequently to distribute false information or impersonate someone. Although deepfake technology has uses in education and entertainment, it also brings up moral questions about security, privacy, and the possibility of abuse in nefarious endeavors like disinformation campaigns and fraud.

Market Dynamics:

Driver:

Advancements in AI and machine learning

Machine learning and artificial intelligence developments are major factors propelling the deepfake AI market, greatly improving the efficiency, realism, and accuracy of deepfake production. By learning from enormous volumes of data, technologies such as auto encoders and Generative Adversarial Networks (GANs) allow machines to produce incredibly realistic photos, movies, and audio. Deepfakes are being used more and more in industries like marketing, entertainment, and virtual experiences as these algorithms get better at blending in with real information. Furthermore, machine learning models are always improving, making it easier for them to accurately mimic human characteristics and behavior.

Restraint:

Privacy and security risks

The deepfake AI business presents serious privacy and security issues since the technology may be used to create fake content that replicates a person's voice, look, or behavior. As a result of hostile actors using deepfakes for a variety of detrimental objectives, this can result in identity theft, financial fraud, and reputational injury. Furthermore, deepfake technology makes it possible for someone's likeness to be used without permission, endangering personal privacy. Deepfakes provide significant security risks as they get more realistic because of the increased potential for manipulation, extortion, and false information. Strong countermeasures, including deepfake detection systems, legal safeguards, and privacy legislation, are required in light of this expanding threat in order to protect people's identities and data.

Opportunity:

Increased adoption in virtual reality (VR) and gaming

Deepfake technology allows developers to create highly realistic and immersive virtual environments by enhancing avatars and character models with lifelike facial expressions, gestures, and voices. This technology enables a more personalized gaming experience by tailoring characters to resemble real-life individuals or creating entirely new virtual personas. In VR applications, deepfakes can be used to simulate realistic scenarios, such as training environments or interactive simulations. As the demand for realistic and interactive virtual worlds grows, the integration of deepfake AI into VR and gaming offers exciting opportunities for enhancing user engagement and creating next-generation experiences.

Threat:

Limited consumer awareness of risks

The possible risks of deepfakes, including identity theft, disinformation, and manipulation, are not well known to many people. Customers could fail to be fully aware of the serious privacy and security threats posed by deepfake technology's capacity to produce incredibly realistic but wholly fake material. This ignorance can result in the inadvertent dissemination of false information, harming people's reputations, affecting public opinion, or even influencing elections. In order to reduce the risks posed by deepfakes, it is imperative that the public be educated on how to spot fake media, its possible ethical ramifications, and the value of employing technology sensibly.

Covid-19 Impact

The COVID-19 pandemic had a mixed impact on the deepfake AI market. On one hand, the increased reliance on digital media and remote communication accelerated the use of AI-driven content creation, including deepfakes, for virtual meetings, entertainment, and education. On the other hand, concerns about misinformation, particularly regarding the spread of fake news during the pandemic, raised awareness about the potential risks of deepfake technology. This led to a greater focus on developing deepfake detection tools and establishing ethical guidelines.

The software segment is expected to be the largest during the forecast period

The software segment is expected to account for the largest market share during the forecast period. AI-powered deepfake software, leveraging technologies like Generative Adversarial Networks (GANs) and machine learning, enables the creation of highly realistic fake images, videos, and audio with ease. These tools are increasingly accessible to both professionals and consumers, enabling content creators, marketers, and entertainment industries to produce immersive experiences. As software becomes more sophisticated and user-friendly, its widespread adoption across sectors like media, advertising, and gaming continues to fuel the growth of the deepfake AI market.

The cybersecurity segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the cybersecurity segment is predicted to witness the highest growth rate, as the rise of deepfake technology poses significant threats to digital security. Deepfakes can be used for identity theft, fraud, and social engineering attacks, making robust cybersecurity measures essential. As deepfakes become more convincing, businesses, governments, and individuals are investing in AI-driven detection tools to identify and prevent malicious use of deepfakes. This growing need for security solutions fuels the development of deepfake detection technologies and promotes market growth in the cybersecurity sector.

Region with largest share:

During the forecast period, Asia Pacific region is expected to hold the largest market share, fuelled by, rapid technological advancements, growing digital content consumption, and increasing adoption of AI across various industries. Countries like China, Japan, and South Korea are leading in AI research, which accelerates the development of deepfake technology. Additionally, the rise of gaming, entertainment, and media sectors in the region boosts the demand for immersive content. Furthermore, the growing need for cybersecurity solutions to combat the risks of deepfakes is propelling market growth in the region.

Region with highest CAGR:

During the forecast period, the North America region is anticipated to exhibit the highest CAGR, driven by advancements in AI and machine learning technologies, particularly in the United States and Canada. The region's strong presence in the entertainment, media, and gaming industries fuels the demand for realistic digital content and virtual experiences. Additionally, the increasing use of deepfake AI in advertising, virtual influencers, and education accelerates market growth. The region also invests heavily in cybersecurity solutions to detect and counter deepfake threats, further driving innovation and adoption of related technologies.

Key players in the market

Some of the key players profiled in the Deepfake AI Market include Attestiv Inc., Amazon Web Services, Deepware A.S., D-ID, Google LLC, iDenfyTM, Intel Corporation, Kairos AR, Inc., Microsoft, Oz Forensics, Reality Defender Inc., Resemble AI, Sensity AI, Truepic, and WeVerify,

Key Developments:

In April 2024, Microsoft showcased its latest AI model, VASA-1, which can generate lifelike talking, faces from a single static image and an audio clip. This model is designed to exhibit appealing visual affective skills (VAS), enhancing the realism of digital avatars.

In March 2024, BiolD launched an updated version of its deepfake detection software, focusing on securing biometric authentication and digital identity verification. This software is designed to prevent identity spoofing by detecting manipulated images and videos and providing real-time analysis and feedback.

In January 2024, In May 2024, Google LLC introduced a new feature in its SynthID tool that allows for the labeling of AI-generated text without altering the content itself. This enhancement builds on SynthID's existing capabilities to identify AI-generated images and audio clips, now incorporating additional information into the large language model (LLM) during text generation.

Components Covered:

  • Software
  • Service

Types Covered:

  • Image Deepfake
  • Audio Deepfake
  • Video Deepfake
  • Text Deepfakes

Detection Methods Covered:

  • Deepfake Detection Solutions
  • Blockchain-Based Solutions

Deployment Modes Covered:

  • Cloud-Based
  • On-Premise

Technologies Covered:

  • Generative Adversarial Networks (GANs)
  • Auto encoders
  • Recurrent Neural Networks (RNNs)
  • Transformative Models
  • Natural Language Processing (NLP)
  • Diffusion Models
  • Other Technologies

Applications Covered:

  • Social Media
  • Entertainment & Media
  • Cyber security
  • Marketing & Advertising
  • Healthcare
  • E- Commerce
  • Other Applications

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • Rest of Middle East & Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2022, 2023, 2024, 2026, and 2030
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

  • 2.1 Abstract
  • 2.2 Stake Holders
  • 2.3 Research Scope
  • 2.4 Research Methodology
    • 2.4.1 Data Mining
    • 2.4.2 Data Analysis
    • 2.4.3 Data Validation
    • 2.4.4 Research Approach
  • 2.5 Research Sources
    • 2.5.1 Primary Research Sources
    • 2.5.2 Secondary Research Sources
    • 2.5.3 Assumptions

3 Market Trend Analysis

  • 3.1 Introduction
  • 3.2 Drivers
  • 3.3 Restraints
  • 3.4 Opportunities
  • 3.5 Threats
  • 3.6 Technology Analysis
  • 3.7 Application Analysis
  • 3.8 Emerging Markets
  • 3.9 Impact of Covid-19

4 Porters Five Force Analysis

  • 4.1 Bargaining power of suppliers
  • 4.2 Bargaining power of buyers
  • 4.3 Threat of substitutes
  • 4.4 Threat of new entrants
  • 4.5 Competitive rivalry

5 Global Deepfake AI Market, By Component

  • 5.1 Introduction
  • 5.2 Software
  • 5.3 Service

6 Global Deepfake AI Market, By Type

  • 6.1 Introduction
  • 6.2 Image Deepfake
  • 6.3 Audio Deepfake
  • 6.4 Video Deepfake
  • 6.5 Text Deepfakes

7 Global Deepfake AI Market, By Detection Methods

  • 7.1 Introduction
  • 7.2 Deepfake Detection Solutions
  • 7.3 Blockchain-Based Solutions

8 Global Deepfake AI Market, By Deployment Mode

  • 8.1 Introduction
  • 8.2 Cloud-Based
  • 8.3 On-Premise

9 Global Deepfake AI Market, By Technology

  • 9.1 Introduction
  • 9.2 Generative Adversarial Networks (GANs)
  • 9.3 Autoencoders
  • 9.4 Recurrent Neural Networks (RNNs)
  • 9.5 Transformative Models
  • 9.6 Natural Language Processing (NLP)
  • 9.7 Diffusion Models
  • 9.8 Other Technologies

10 Global Deepfake AI Market, By Application

  • 10.1 Introduction
  • 10.2 Social Media
  • 10.3 Entertainment & Media
  • 10.4 Cybersecurity
  • 10.5 Marketing & Advertising
  • 10.6 Healthcare
  • 10.7 E- Commerce
  • 10.8 Other Applications

11 Global Deepfake AI Market, By Geography

  • 11.1 Introduction
  • 11.2 North America
    • 11.2.1 US
    • 11.2.2 Canada
    • 11.2.3 Mexico
  • 11.3 Europe
    • 11.3.1 Germany
    • 11.3.2 UK
    • 11.3.3 Italy
    • 11.3.4 France
    • 11.3.5 Spain
    • 11.3.6 Rest of Europe
  • 11.4 Asia Pacific
    • 11.4.1 Japan
    • 11.4.2 China
    • 11.4.3 India
    • 11.4.4 Australia
    • 11.4.5 New Zealand
    • 11.4.6 South Korea
    • 11.4.7 Rest of Asia Pacific
  • 11.5 South America
    • 11.5.1 Argentina
    • 11.5.2 Brazil
    • 11.5.3 Chile
    • 11.5.4 Rest of South America
  • 11.6 Middle East & Africa
    • 11.6.1 Saudi Arabia
    • 11.6.2 UAE
    • 11.6.3 Qatar
    • 11.6.4 South Africa
    • 11.6.5 Rest of Middle East & Africa

12 Key Developments

  • 12.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 12.2 Acquisitions & Mergers
  • 12.3 New Product Launch
  • 12.4 Expansions
  • 12.5 Other Key Strategies

13 Company Profiling

  • 13.1 Attestiv Inc.
  • 13.2 Amazon Web Services
  • 13.3 Deepware A.S.
  • 13.4 D-ID
  • 13.5 Google LLC
  • 13.6 iDenfyTM
  • 13.7 Intel Corporation
  • 13.8 Kairos AR, Inc.
  • 13.9 Microsoft
  • 13.10 Oz Forensics
  • 13.11 Reality Defender Inc.
  • 13.12 Resemble AI
  • 13.13 Sensity AI
  • 13.14 Truepic
  • 13.15 WeVerify

List of Tables

  • Table 1 Global Deepfake AI Market Outlook, By Region (2022-2030) ($MN)
  • Table 2 Global Deepfake AI Market Outlook, By Component (2022-2030) ($MN)
  • Table 3 Global Deepfake AI Market Outlook, By Software (2022-2030) ($MN)
  • Table 4 Global Deepfake AI Market Outlook, By Service (2022-2030) ($MN)
  • Table 5 Global Deepfake AI Market Outlook, By Type (2022-2030) ($MN)
  • Table 6 Global Deepfake AI Market Outlook, By Image Deepfake (2022-2030) ($MN)
  • Table 7 Global Deepfake AI Market Outlook, By Audio Deepfake (2022-2030) ($MN)
  • Table 8 Global Deepfake AI Market Outlook, By Video Deepfake (2022-2030) ($MN)
  • Table 9 Global Deepfake AI Market Outlook, By Text Deepfakes (2022-2030) ($MN)
  • Table 10 Global Deepfake AI Market Outlook, By Detection Methods (2022-2030) ($MN)
  • Table 11 Global Deepfake AI Market Outlook, By Deepfake Detection Solutions (2022-2030) ($MN)
  • Table 12 Global Deepfake AI Market Outlook, By Blockchain-Based Solutions (2022-2030) ($MN)
  • Table 13 Global Deepfake AI Market Outlook, By Deployment Mode (2022-2030) ($MN)
  • Table 14 Global Deepfake AI Market Outlook, By Cloud-Based (2022-2030) ($MN)
  • Table 15 Global Deepfake AI Market Outlook, By On-Premise (2022-2030) ($MN)
  • Table 16 Global Deepfake AI Market Outlook, By Technology (2022-2030) ($MN)
  • Table 17 Global Deepfake AI Market Outlook, By Generative Adversarial Networks (GANs) (2022-2030) ($MN)
  • Table 18 Global Deepfake AI Market Outlook, By Autoencoders (2022-2030) ($MN)
  • Table 19 Global Deepfake AI Market Outlook, By Recurrent Neural Networks (RNNs) (2022-2030) ($MN)
  • Table 20 Global Deepfake AI Market Outlook, By Transformative Models (2022-2030) ($MN)
  • Table 21 Global Deepfake AI Market Outlook, By Natural Language Processing (NLP) (2022-2030) ($MN)
  • Table 22 Global Deepfake AI Market Outlook, By Diffusion Models (2022-2030) ($MN)
  • Table 23 Global Deepfake AI Market Outlook, By Other Technologies (2022-2030) ($MN)
  • Table 24 Global Deepfake AI Market Outlook, By Application (2022-2030) ($MN)
  • Table 25 Global Deepfake AI Market Outlook, By Social Media (2022-2030) ($MN)
  • Table 26 Global Deepfake AI Market Outlook, By Entertainment & Media (2022-2030) ($MN)
  • Table 27 Global Deepfake AI Market Outlook, By Cybersecurity (2022-2030) ($MN)
  • Table 28 Global Deepfake AI Market Outlook, By Marketing & Advertising (2022-2030) ($MN)
  • Table 29 Global Deepfake AI Market Outlook, By Healthcare (2022-2030) ($MN)
  • Table 30 Global Deepfake AI Market Outlook, By E- Commerce (2022-2030) ($MN)
  • Table 31 Global Deepfake AI Market Outlook, By Other Applications (2022-2030) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.