查看购物车
  • Traditional Chinese
  • English
  • Japanese
  • Korean
封面
市场调查报告书
商品编码
1577175

深度造假技术市场预测至 2030 年：按内容类型、组件、技术、应用、最终用户和地区进行的全球分析

Deepfake Technology Market Forecasts to 2030 - Global Analysis By Content Type (Video Deepfakes, Image Deepfakes, Audio Deepfakes, Text Deepfakes and Other Content Types), Component, Technology, Application, End User 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，2024 年全球深度造假技术市场规模将达到 77 亿美元，预计到 2030 年将达到 290 亿美元，预测期内复合年增长率为 24.5%。

深度造假技术利用人工智慧创建超现实的数位内容，尤其是模仿真人的影片和音讯。透过采用深度学习演算法，可以无缝地操纵或产生媒体，从而难以区分真实内容和捏造内容。虽然这项技术在娱乐和教育方面具有潜在的应用，但也存在重大的道德问题，因为它可能被滥用于错误讯息、诈骗和恶意活动，并且需要製定如何有效地检测和负责任地使用它。

对个人化内容的需求不断增长

人工智慧的进步和消费者对客製化体验不断增长的期望推动了市场对个人化内容不断增长的需求。娱乐、行销和教育等行业的公司正在利用深度造假功能来创建与个人观众产生共鸣的客製化媒体。这一趋势使品牌能够更有效地吸引用户、增强故事叙述并改善客户体验。

快速发展的营运技术

市场上操纵科技的快速发展带来了严重的负面后果，包括错误讯息的传播和对数位媒体的信任度下降。随着这些技术变得更加复杂，区分真实内容和捏造内容变得更加困难，从而为诈骗、骚扰和政治操纵打开了大门。因此，迫切需要加强检测方法和法律规范，以有效降低这些风险。

数位媒体平台的普及

数位媒体平台的激增透过提供可存取的管道来共用和分发受操纵的内容，对市场产生了重大影响。社群媒体和影片串流服务等平台的发展促进了深度造假的快速传播，常常模糊了现实与虚构之间的界线。这种可访问性增加了娱乐和行销中创造性应用的潜力，但也引起了对错误讯息、侵犯隐私和道德影响的担忧。

企业认知度低

企业对深度造假技术的认识有限可能会产生严重的负面后果，包括容易遭受意外滥用和操纵。许多组织可能不完全了解与深度造假相关的潜在风险，并且容易受到错误讯息宣传活动、诈骗和声誉损害的影响。这种知识的缺乏可能会阻碍有效政策和保障措施的製定，使公司承担法律责任，并削弱消费者的信心。

COVID-19 的影响：

COVID-19 的爆发对市场产生了重大影响，加速了数位内容的消费和对远端通讯工具的需求。随着人们转向线上平台进行娱乐、教育和社交互动，对个人化和身临其境型媒体的兴趣与日俱增。数位化参与度的激增刺激了虚拟活动和线上学习等多个领域的深度造假应用程式的创新。但对假讯息和深度造假的道德使用的担忧也有所增加，需要更好的监管和检测方法。

音讯深度造假领域预计在预测期内成长最高

预计音讯深度造假领域将在预测期内占据最大的市场占有率。该技术可应用于娱乐、游戏和个人化内容，使创作者能够创建逼真的叙述或重现历史人物的演讲。然而，音讯深度造假的兴起引发了严重的道德问题，包括潜在的诈骗、错误讯息和身分窃盗。随着意识的提高，对强大的检测工具和法规结构的需求变得越来越重要。

预计通讯业在预测期内的复合年增长率最高

通讯业能够透过深度造假快速传输和共用深度伪造内容，预计在预测期内复合年增长率最高。随着行动和网路连接的改善，用户将能够轻鬆存取和分发复杂的深度造假，从而影响通讯和媒体消费。通讯公司面临着检测和减轻有害深度造假传播的挑战，这些伪造品会导致错误讯息和侵犯隐私。

比最大的地区

由于人工智慧的进步和各行业对创新内容的需求不断增加，预计北美地区将在预测期内占据最大的市场占有率。由主要企业和研究机构组成的强大技术生态系统正在推动娱乐、行销和安全领域先进的深度造假应用程式的开发。

复合年增长率最高的地区：

由于技术的快速进步和数位化参与度的增加，预计亚太地区在预测期内将实现最高的成长率。 深度造假用于在电影和行销宣传活动中创建引人入胜的内容。人们越来越有兴趣使用深度造假技术创建互动式培训材料并透过真实模拟增强学习体验。随着市场的成长，平衡创新和道德考量对于永续发展非常重要。

提供免费客製化：

订阅此报告的客户可以存取以下免费自订选项之一：

  • 公司简介
    • 其他市场参与者的综合分析（最多 3 家公司）
    • 主要企业SWOT分析（最多3家企业）
  • 区域分割
    • 根据客户兴趣对主要国家的市场估计、预测和复合年增长率（註：基于可行性检查）
  • 竞争标基准化分析
    • 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

第二章 前言

  • 概述
  • 相关利益者
  • 调查范围
  • 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
    • 二次研究资讯来源
    • 先决条件

第三章市场趋势分析

  • 促进因素
  • 抑制因素
  • 机会
  • 威胁
  • 技术分析
  • 应用分析
  • 最终用户分析
  • 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
  • 买方议价能力
  • 替代品的威胁
  • 新进入者的威胁
  • 竞争公司之间的敌对关係

第五章全球深度造假技术市场：依内容类型

  • 影片深度造假
  • 深度造假影像
  • 音讯深度造假
  • 文字深度造假
  • 其他内容类型

第六章 全球深度造假技术市场：按组成部分

  • 软体
    • 深度造假生成软体
    • 媒体认证工具
    • 法医学分析软体
    • 内容审核软体
  • 服务
    • 专业服务
    • 託管服务
  • 硬体
    • 高效能GPU
    • 计算基础设施

第七章 全球深度造假技术市场：依技术分类

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

第八章全球深度造假技术市场：依应用分类

  • 客服中心安全
  • 诈欺侦测
  • 国家安全
  • 医疗训练和模拟
  • 数位内容製作
  • 其他用途

第九章 全球深度造假技术市场：依最终用户划分

  • 通讯
  • 政府和国防
  • 医疗保健和生命科学
  • 媒体和娱乐
  • 零售/电子商务
  • 其他最终用户

第10章全球深度造假技术市场：按地区

  • 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
    • 其他欧洲国家
  • 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/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

第十一章 主要进展

  • 合约、伙伴关係、协作和合资企业
  • 收购和合併
  • 新产品发布
  • 业务拓展
  • 其他关键策略

第十二章 公司概况

  • Intel Corporation
  • NVIDIA
  • Facebook
  • Google LLC
  • Twitter
  • Cogito Tech
  • Tencent
  • Microsoft
  • Kairos
  • Reface AI
  • Amazon Web Services
  • Adobe
  • TikTok
  • DeepWare AI
Product Code: SMRC27492

According to Stratistics MRC, the Global Deepfake Technology Market is accounted for $7.7 billion in 2024 and is expected to reach $29.0 billion by 2030 growing at a CAGR of 24.5% during the forecast period. Deepfake technology utilizes artificial intelligence to create hyper-realistic digital content, particularly videos and audio that mimics real people. By employing deep learning algorithms, it can seamlessly manipulate or generate media, making it challenging to distinguish between authentic and fabricated content. While this technology has potential applications in entertainment and education, it also poses significant ethical concerns, as it can be exploited for misinformation, fraud, and malicious activities, necessitating the development of effective detection methods and responsible usage guidelines.

Market Dynamics:

Driver:

Growing demand for personalized content

The growing demand for personalized content in the market is driven by advancements in AI and increasing consumer expectations for tailored experiences. Businesses across various sectors, including entertainment, marketing, and education, seek to leverage deepfake capabilities to create customized media that resonates with individual audiences. This trend allows brands to engage users more effectively, enhance storytelling, and improve customer experiences.

Restraint:

Rapidly evolving manipulation techniques

The rapid evolution of manipulation techniques in the market poses significant negative effects, including the proliferation of misinformation and erosion of trust in digital media. As these techniques become more sophisticated, it becomes increasingly difficult to distinguish between real and fabricated content, leading to potential exploitation for fraud, harassment, and political manipulation. Consequently, there is an urgent need for enhanced detection methods and regulatory frameworks to mitigate these risks effectively.

Opportunity:

Proliferation of digital media platforms

The proliferation of digital media platforms has significantly impacted the market by providing accessible channels for sharing and distributing manipulated content. As platforms like social media and video streaming services grow, they facilitate the rapid spread of deepfakes, often blurring the lines between reality and fiction. This accessibility increases the potential for creative applications in entertainment and marketing, but it also raises concerns about misinformation, privacy violations, and the ethical implications.

Threat:

Limited awareness among enterprises

Limited awareness among enterprises regarding deepfake technology can lead to significant negative effects, including unintentional misuse and vulnerability to manipulation. Many organizations may not fully understand the potential risks associated with deepfakes, making them susceptible to misinformation campaigns, fraud, and reputational damage. This lack of knowledge can hinder the development of effective policies and protective measures, exposing businesses to legal liabilities and eroding consumer trust.

Covid-19 Impact:

The COVID-19 pandemic significantly impacted the market by accelerating digital content consumption and the demand for remote communication tools. As people turned to online platforms for entertainment, education, and social interaction, the interest in personalized and immersive media grew. This surge in digital engagement spurred innovation in deepfake applications across various sectors, including virtual events and online learning. However, it also heightened concerns about misinformation and the ethical use of deepfakes, prompting calls for better regulation and detection measures.

The audio deepfakes segment is projected to be the largest during the forecast period

The audio deepfakes segment is projected to account for the largest market share during the projection period. This technology has applications in entertainment, gaming, and personalized content, allowing creators to produce realistic voiceovers or re-create historical figures' speeches. However, the rise of audio deepfakes raises significant ethical concerns, including potential misuse for fraud, misinformation, and identity theft. As awareness grows, the need for robust detection tools and regulatory frameworks becomes increasingly critical.

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

The telecommunications segment is expected to have the highest CAGR during the extrapolated period enabling the rapid transmission and sharing of deepfake content across networks. As mobile and internet connectivity improve, users can easily access and distribute sophisticated deepfakes, impacting communication and media consumption. Telecommunications companies face challenges in detecting and mitigating the spread of harmful deepfakes, which can lead to misinformation and privacy violations.

Region with largest share:

North America region is projected to account for the largest market share during the forecast period driven by advancements in artificial intelligence and increasing demand for innovative content across various industries. The region's robust tech ecosystem, characterized by leading companies and research institutions, fosters the development of sophisticated deepfake applications in entertainment, marketing, and security.

Region with highest CAGR:

Asia Pacific is expected to register the highest growth rate over the forecast period driven by its rapid technological advancements and increasing digital engagement. Deepfakes are being utilized for creating engaging content in film and marketing campaigns. There is growing interest in using deepfake technology for creating interactive training materials, enhancing learning experiences through realistic simulations. As the market grows, balancing innovation with ethical considerations will be crucial for sustainable development.

Key players in the market

Some of the key players in Deepfake Technology market include Intel Corporation, NVIDIA, Facebook, Google LLC, Twitter, Cogito Tech, Tencent, Microsoft, Kairos, Reface AI, Amazon Web Services, Adobe, TikTok and DeepWare AI.

Key Developments:

In May 2024, Google unveiled a new method to label text as AI-generated without altering it. This new feature has been integrated into Google DeepMind's SynthID tool, which was already capable of identifying AI-generated images and audio clips. This method introduces additional information to the large language model (LLM)-based tool while generating text.

In April 2024, Microsoft's research team gave a glimpse into their latest AI model. Called VASA-1, the model can generate lifelike talking faces with appealing visual affective skills (VAS) given a single static image and a speech audio clip.

Content Types Covered:

  • Video Deepfakes
  • Image Deepfakes
  • Audio Deepfakes
  • Text Deepfakes
  • Other Content Types

Components Covered:

  • Software
  • Services
  • Hardware

Technologies Covered:

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

Applications Covered:

  • Call Center Security
  • Fraud Detection
  • National Security
  • Medical Training & Simulation
  • Digital Content Creation
  • Other Applications

End Users Covered:

  • Telecommunications
  • Government & Defense
  • Healthcare & Life Sciences
  • Media & Entertainment
  • Retail & E-commerce
  • Other End Users

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 End User Analysis
  • 3.9 Emerging Markets
  • 3.10 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 Technology Market, By Content Type

  • 5.1 Introduction
  • 5.2 Video Deepfakes
  • 5.3 Image Deepfakes
  • 5.4 Audio Deepfakes
  • 5.5 Text Deepfakes
  • 5.6 Other Content Types

6 Global Deepfake Technology Market, By Component

  • 6.1 Introduction
  • 6.2 Software
    • 6.2.1 Deepfake Generation Software
    • 6.2.2 Media Authentication Tools
    • 6.2.3 Forensic Analysis Software
    • 6.2.4 Content Moderation Software
  • 6.3 Services
    • 6.3.1 Professional Services
    • 6.3.2 Managed Services
  • 6.4 Hardware
    • 6.4.1 High-Performance GPUs
    • 6.4.2 Computational Infrastructure

7 Global Deepfake Technology Market, By Technology

  • 7.1 Introduction
  • 7.2 Generative Adversarial Networks (GANs)
  • 7.3 Autoencoders
  • 7.4 Recurrent Neural Networks (RNNs)
  • 7.5 Diffusion Models
  • 7.6 Natural Language Processing (NLP)
  • 7.7 Other Technolgoies

8 Global Deepfake Technology Market, By Application

  • 8.1 Introduction
  • 8.2 Call Center Security
  • 8.3 Fraud Detection
  • 8.4 National Security
  • 8.5 Medical Training & Simulation
  • 8.6 Digital Content Creation
  • 8.7 Other Applications

9 Global Deepfake Technology Market, By End User

  • 9.1 Introduction
  • 9.2 Telecommunications
  • 9.3 Government & Defense
  • 9.4 Healthcare & Life Sciences
  • 9.5 Media & Entertainment
  • 9.6 Retail & E-commerce
  • 9.7 Other End Users

10 Global Deepfake Technology Market, By Geography

  • 10.1 Introduction
  • 10.2 North America
    • 10.2.1 US
    • 10.2.2 Canada
    • 10.2.3 Mexico
  • 10.3 Europe
    • 10.3.1 Germany
    • 10.3.2 UK
    • 10.3.3 Italy
    • 10.3.4 France
    • 10.3.5 Spain
    • 10.3.6 Rest of Europe
  • 10.4 Asia Pacific
    • 10.4.1 Japan
    • 10.4.2 China
    • 10.4.3 India
    • 10.4.4 Australia
    • 10.4.5 New Zealand
    • 10.4.6 South Korea
    • 10.4.7 Rest of Asia Pacific
  • 10.5 South America
    • 10.5.1 Argentina
    • 10.5.2 Brazil
    • 10.5.3 Chile
    • 10.5.4 Rest of South America
  • 10.6 Middle East & Africa
    • 10.6.1 Saudi Arabia
    • 10.6.2 UAE
    • 10.6.3 Qatar
    • 10.6.4 South Africa
    • 10.6.5 Rest of Middle East & Africa

11 Key Developments

  • 11.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 11.2 Acquisitions & Mergers
  • 11.3 New Product Launch
  • 11.4 Expansions
  • 11.5 Other Key Strategies

12 Company Profiling

  • 12.1 Intel Corporation
  • 12.2 NVIDIA
  • 12.3 Facebook
  • 12.4 Google LLC
  • 12.5 Twitter
  • 12.6 Cogito Tech
  • 12.7 Tencent
  • 12.8 Microsoft
  • 12.9 Kairos
  • 12.10 Reface AI
  • 12.11 Amazon Web Services
  • 12.12 Adobe
  • 12.13 TikTok
  • 12.14 DeepWare AI

List of Tables

  • Table 1 Global Deepfake Technology Market Outlook, By Region (2022-2030) ($MN)
  • Table 2 Global Deepfake Technology Market Outlook, By Content Type (2022-2030) ($MN)
  • Table 3 Global Deepfake Technology Market Outlook, By Video Deepfakes (2022-2030) ($MN)
  • Table 4 Global Deepfake Technology Market Outlook, By Image Deepfakes (2022-2030) ($MN)
  • Table 5 Global Deepfake Technology Market Outlook, By Audio Deepfakes (2022-2030) ($MN)
  • Table 6 Global Deepfake Technology Market Outlook, By Text Deepfakes (2022-2030) ($MN)
  • Table 7 Global Deepfake Technology Market Outlook, By Other Content Types (2022-2030) ($MN)
  • Table 8 Global Deepfake Technology Market Outlook, By Component (2022-2030) ($MN)
  • Table 9 Global Deepfake Technology Market Outlook, By Software (2022-2030) ($MN)
  • Table 10 Global Deepfake Technology Market Outlook, By Deepfake Generation Software (2022-2030) ($MN)
  • Table 11 Global Deepfake Technology Market Outlook, By Media Authentication Tools (2022-2030) ($MN)
  • Table 12 Global Deepfake Technology Market Outlook, By Forensic Analysis Software (2022-2030) ($MN)
  • Table 13 Global Deepfake Technology Market Outlook, By Content Moderation Software (2022-2030) ($MN)
  • Table 14 Global Deepfake Technology Market Outlook, By Services (2022-2030) ($MN)
  • Table 15 Global Deepfake Technology Market Outlook, By Professional Services (2022-2030) ($MN)
  • Table 16 Global Deepfake Technology Market Outlook, By Managed Services (2022-2030) ($MN)
  • Table 17 Global Deepfake Technology Market Outlook, By Hardware (2022-2030) ($MN)
  • Table 18 Global Deepfake Technology Market Outlook, By High-Performance GPUs (2022-2030) ($MN)
  • Table 19 Global Deepfake Technology Market Outlook, By Computational Infrastructure (2022-2030) ($MN)
  • Table 20 Global Deepfake Technology Market Outlook, By Technology (2022-2030) ($MN)
  • Table 21 Global Deepfake Technology Market Outlook, By Generative Adversarial Networks (GANs) (2022-2030) ($MN)
  • Table 22 Global Deepfake Technology Market Outlook, By Autoencoders (2022-2030) ($MN)
  • Table 23 Global Deepfake Technology Market Outlook, By Recurrent Neural Networks (RNNs) (2022-2030) ($MN)
  • Table 24 Global Deepfake Technology Market Outlook, By Diffusion Models (2022-2030) ($MN)
  • Table 25 Global Deepfake Technology Market Outlook, By Natural Language Processing (NLP) (2022-2030) ($MN)
  • Table 26 Global Deepfake Technology Market Outlook, By Other Technolgoies (2022-2030) ($MN)
  • Table 27 Global Deepfake Technology Market Outlook, By Application (2022-2030) ($MN)
  • Table 28 Global Deepfake Technology Market Outlook, By Call Center Security (2022-2030) ($MN)
  • Table 29 Global Deepfake Technology Market Outlook, By Fraud Detection (2022-2030) ($MN)
  • Table 30 Global Deepfake Technology Market Outlook, By National Security (2022-2030) ($MN)
  • Table 31 Global Deepfake Technology Market Outlook, By Medical Training & Simulation (2022-2030) ($MN)
  • Table 32 Global Deepfake Technology Market Outlook, By Digital Content Creation (2022-2030) ($MN)
  • Table 33 Global Deepfake Technology Market Outlook, By Other Applications (2022-2030) ($MN)
  • Table 34 Global Deepfake Technology Market Outlook, By End User (2022-2030) ($MN)
  • Table 35 Global Deepfake Technology Market Outlook, By Telecommunications (2022-2030) ($MN)
  • Table 36 Global Deepfake Technology Market Outlook, By Government & Defense (2022-2030) ($MN)
  • Table 37 Global Deepfake Technology Market Outlook, By Healthcare & Life Sciences (2022-2030) ($MN)
  • Table 38 Global Deepfake Technology Market Outlook, By Media & Entertainment (2022-2030) ($MN)
  • Table 39 Global Deepfake Technology Market Outlook, By Retail & E-commerce (2022-2030) ($MN)
  • Table 40 Global Deepfake Technology Market Outlook, By Other End Users (2022-2030) ($MN)

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