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深度造假 AI 市场规模、份额、按产品、技术、垂直领域和地区分類的成长分析 - 产业预测，2025 年至 2032 年

市场调查报告书

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1758706

深度造假 AI 市场规模、份额、按产品、技术、垂直领域和地区分類的成长分析 - 产业预测，2025 年至 2032 年

Deepfake AI Market Size, Share, and Growth Analysis, By Offering (Type, Deployment Mode), By Technology (Generative Adversarial Networks (GANS), Autoencoders), By Vertical, By Region - Industry Forecast 2025-2032

出版日期: 2025年06月21日 | 出版商:

SkyQuest | 英文 198 Pages | 商品交期: 3-5个工作天内

价格

简介目录

2023 年全球深度造假 AI 市场规模为 5.6 亿美元，预计将从 2024 年的 7.9576 亿美元增长到 2032 年的 132.2923 亿美元，预测期内（2025-2032 年）的复合年增长率为 42.1%。

过去十年，深度造假人工智慧产业取得了长足进步，既带来了巨大的商机，也带来了巨大的风险。在娱乐领域，它已被用来让演员恢復活力并创建数位化身，从而可以低成本地增强内容製作。像 Synthesia 这样的公司已经吸引了大量投资，显示市场信心强劲。然而，这项技术创新引发了人们对虚假资讯和身分窃盗的严重担忧，美国联邦调查局报告称，与人工智慧相关的诈骗案件增加了 55% 就证明了这一点。随着全球监管机构加强审查以降低风险，包括中国新的标籤要求，该行业面临网路安全和道德困境的挑战，这些挑战可能会阻碍其成长潜力。深度造假伪造检测解决方案的需求也激增，因此需要强而有力的管治通讯协定。

市场概览
生成对抗网路（GANS）
- 基于 GAN 的标准深度造假技术
- 进行性
- 有条件枪支
自动编码器
- 变分自动编码器 (VAES)
- 音讯自动编码器
- 文字到图像自动编码器
循环神经网路（RNNS）
- 长短期记忆（LSTM）RNN
- 门控循环单元（GRUS）
扩散模型
- 线性扩散模型
- 非线性扩散模型
- 离散扩散模型
- 常用的扩散模型
变压器模型
- 基于变压器的深度造假技术
- Bert 用于文字为主的深度造假
- GPT 用于基于文字和音讯的深度造假
自然语言处理（NLP）
- 语言模型
- 情绪分析
- 作者确认
其他技术

深度造假 AI 市场规模（按产业划分）及复合年增长率（2025-2032 年）

市场概览
BFSI
通讯
政府/国防
医疗保健和生命科学
法律
媒体与娱乐
零售与电子商务
其他行业

深度造假 AI 市场规模及复合年增长率（2025-2032）

北美洲
- 美国
- 加拿大
欧洲
- 德国
- 西班牙
- 法国
- 英国
- 义大利
- 其他欧洲国家地区
亚太地区
- 中国
- 印度
- 日本
- 韩国
- 其他亚太地区
拉丁美洲
- 巴西
- 其他拉丁美洲
中东和非洲
- 海湾合作委员会国家
- 南非
- 其他中东和非洲地区

竞争资讯

前五大公司对比
主要企业市场定位（2024年）
主要市场参与者所采取的策略
近期市场趋势
公司市场占有率分析（2024年）
主要企业简介
- 公司详情
- 产品系列分析
- 公司分部份额分析
- 收益同比对比（2022-2024 年）

主要企业简介

Datambit
Microsoft
AWS
Google
Intel
Veritone
Bioid
Duckduckgoose AI
Synthesia
Sentinel
Paravision
Iproov
D-ID
Reface
Validsoft
Myheritage
Blackbird.AI
Hyperverge
Pindrop
Deepware

结论和建议

简介目录

Product Code: SQMIG45E2363

Global Deepfake AI Market size was valued at USD 560.0 million in 2023 and is poised to grow from USD 795.76 million in 2024 to USD 13229.23 million by 2032, growing at a CAGR of 42.1% during the forecast period (2025-2032).

The Deepfake AI industry has experienced significant advancements over the last decade, presenting both remarkable opportunities and considerable risks. It has found applications in domains such as entertainment, where it's used to de-age actors or create digital avatars, enhancing content creation at lower costs. Companies like Synthesia are attracting substantial investment, highlighting strong market confidence. However, this innovation raises serious concerns about misinformation and identity theft, as evidenced by a reported 55% increase in AI-related fraud cases noted by the FBI. As regulators globally, including China's new labeling requirements, intensify scrutiny to mitigate risks, the industry faces challenges related to cybersecurity and ethical dilemmas that may hinder its growth potential. The demand for deepfake detection solutions is also surging, necessitating robust governance protocols.

Top-down and bottom-up approaches were used to estimate and validate the size of the Global Deepfake AI market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.

Global Deepfake AI Market Segments Analysis

Global Deepfake AI Market is segmented by Offering, Technology, VERTICAL and region. Based on Offering, the market is segmented into Type, Deployment Mode and Services. Based on Technology, the market is segmented into Generative Adversarial Networks (GANS), Autoencoders, Recurrent Neural Networks (RNNS), Diffusion Models, Transformer Models, Natural Language Processing (NLP) and Other Technologies. Based on VERTICAL, the market is segmented into BFSI, Telecommunications, Government & Defense, Healthcare & Life Sciences, Legal, Media & Entertainment, Retail & E-Commerce and Other Verticals. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa.

Driver of the Global Deepfake AI Market

The Global Deepfake AI market is being propelled by the swift advancements in Generative Adversarial Networks (GANs), which have markedly improved the realism and quality of deepfake content, particularly in the media and entertainment sectors. A 2023 article from MIT Technology Review highlights that GAN-based models have achieved a 40% reduction in training times while enhancing video fidelity by 35%. Notably, companies such as Synthesia in the UK have witnessed a 2.5-fold increase in demand for AI-generated videos in 2023, thanks to GANs that adeptly replicate real-life expressions with remarkable precision, driving widespread adoption and innovation in the industry.

Restraints in the Global Deepfake AI Market

The Global Deepfake AI market faces significant challenges due to the increasing misuse of this technology in various unethical practices, such as misinformation, political manipulation, and cybercrimes, which have attracted heightened regulatory attention. As highlighted in the FBI's 2023 Public Service Announcement, deepfake-related scams resulted in more than $12 million in financial fraud in the United States during the same year. Additionally, in 2024, Meta took action by removing over 2,000 deepfake videos associated with misinformation initiatives. These ethical dilemmas present substantial barriers to widespread adoption, particularly in critical sectors like finance, governance, and journalism, where the demand for authenticity is paramount.

Market Trends of the Global Deepfake AI Market

The Global Deepfake AI market is witnessing a significant trend towards the development and deployment of enterprise-grade deepfake detection tools, driven by the rising threat of cyberattacks exploiting synthetic media. As companies recognize the critical need for robust security solutions, demand is surging for advanced detection technologies. Innovations such as Microsoft's Video Authenticator and Intel's FakeCatcher are at the forefront, offering sophisticated analysis and impressive accuracy rates that are being adopted across various sectors, including law enforcement and banking. This shift underscores a growing awareness of deepfake risks and a proactive approach to mitigating their impact in business operations and digital communications.

Introduction

Objectives of the Study
Scope of the Report
Definitions

Research Methodology

Information Procurement
Secondary & Primary Data Methods
Market Size Estimation
Market Assumptions & Limitations

Executive Summary

Global Market Outlook
Supply & Demand Trend Analysis
Segmental Opportunity Analysis

Market Dynamics & Outlook

Market Overview
Market Size
Market Dynamics
- Drivers & Opportunities
- Restraints & Challenges
Porters Analysis
- Competitive rivalry
- Threat of substitute
- Bargaining power of buyers
- Threat of new entrants
- Bargaining power of suppliers

Key Market Insights

Key Success Factors
Degree of Competition
Top Investment Pockets
Market Ecosystem
Market Attractiveness Index, 2024
PESTEL Analysis
Macro-Economic Indicators
Value Chain Analysis
Pricing Analysis
Technology Analysis
Case Studies

Global Deepfake AI Market Size by Offering & CAGR (2025-2032)

Market Overview
Type
- Deepfake Generation Software
- Deepfake Detection & Authentication Software
- Content Moderation Software
Deployment Mode
- Cloud
- On-Premises
Services
- Professional Services
- Training & Consulting Services
- System Integration & Implementation Services
- Support & Maintenance Services
- Managed Services

Global Deepfake AI Market Size by Technology & CAGR (2025-2032)

Market Overview
Generative Adversarial Networks (GANS)
- Standard Gan-Based Deepfake Technology
- Progressive Growing Gans
- Conditional Gans
Autoencoders
- Variational Autoencoders (VAES)
- Audio Autoencoders
- Text-To-Image Autoencoders
Recurrent Neural Networks (RNNS)
- Long Short-Term Memory (LSTM) RNN
- Gated Recurrent Units (GRUS)
Diffusion Models
- Linear Diffusion Models
- Non-Linear Diffusion Models
- Discrete Diffusion Models
- Continuous Diffusion Models
Transformer Models
- Transformer-Based Deepfake Technology
- Bert For Text-Based Deepfakes
- GPT For Text & Audio-Based Deepfakes
Natural Language Processing (NLP)
- Language Models
- Sentiment Analysis
- Authorship Verification
Other Technologies

Global Deepfake AI Market Size by VERTICAL & CAGR (2025-2032)

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

Global Deepfake AI Market Size & CAGR (2025-2032)

North America (Offering, Technology, VERTICAL)
- US
- Canada
Europe (Offering, Technology, VERTICAL)
- Germany
- Spain
- France
- UK
- Italy
- Rest of Europe
Asia Pacific (Offering, Technology, VERTICAL)
- China
- India
- Japan
- South Korea
- Rest of Asia-Pacific
Latin America (Offering, Technology, VERTICAL)
- Brazil
- Rest of Latin America
Middle East & Africa (Offering, Technology, VERTICAL)
- GCC Countries
- South Africa
- Rest of Middle East & Africa

Competitive Intelligence

Top 5 Player Comparison
Market Positioning of Key Players, 2024
Strategies Adopted by Key Market Players
Recent Developments in the Market
Company Market Share Analysis, 2024
Company Profiles of All Key Players
- Company Details
- Product Portfolio Analysis
- Company's Segmental Share Analysis
- Revenue Y-O-Y Comparison (2022-2024)

Key Company Profiles

Datambit
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Microsoft
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
AWS
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Google
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Intel
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Veritone
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Bioid
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Duckduckgoose AI
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Synthesia
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Sentinel
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Paravision
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Iproov
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
D-ID
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Reface
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Validsoft
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Myheritage
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Blackbird.AI
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Hyperverge
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Pindrop
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Deepware
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments