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深度造假 AI 市場規模、佔有率、按產品、技術、垂直領域和地區分類的成長分析 - 產業預測，2025 年至 2032 年

市場調查報告書

商品編碼

1758706

深度造假 AI 市場規模、佔有率、按產品、技術、垂直領域和地區分類的成長分析 - 產業預測，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個工作天內

價格

簡介目錄

2023 年全球深度造假 AI 市場規模為 5.6 億美元，預計將從 2024 年的 7.9576 億美元成長到 2032 年的 132.2923 億美元，預測期內（2025-2032 年）的複合年成長率為 42.1%。

過去十年，深度造假人工智慧產業取得了長足進步，既帶來了巨大的商機，也帶來了巨大的風險。在娛樂領域，它已被用來讓演員恢復活力並創建數位化身，從而可以低成本地增強內容製作。像 Synthesia 這樣的公司已經吸引了大量投資，顯示市場信心強勁。然而，這項技術創新引發了人們對虛假資訊和身分竊盜的嚴重擔憂，美國聯邦調查局報告稱，與人工智慧相關的詐騙案件增加了 55% 就證明了這一點。隨著全球監管機構加強審查以降低風險，包括中國新的標籤要求，該行業面臨網路安全和道德困境的挑戰，這些挑戰可能會阻礙其成長潛力。深度造假偽造檢測解決方案的需求也激增，因此需要強而有力的管治通訊協定。

市場概覽
生成對抗網路（GANS）
- 基於 GAN 的標準深度造假技術
- 進行性
- 有條件槍支
自動編碼器
- 變分自動編碼器 (VAES)
- 音訊自動編碼器
- 文字到圖像自動編碼器
循環神經網路（RNNS）
- 長短期記憶（LSTM）RNN
- 門控循環單元（GRUS）
擴散模型
- 線性擴散模型
- 非線性擴散模型
- 離散擴散模型
- 常用的擴散模型
變壓器模型
- 基於變壓器的深度造假技術
- Bert 用於文字為主的深度造假
- GPT 用於基於文字和音訊的深度造假
自然語言處理（NLP）
- 語言模型
- 情緒分析
- 作者確認
其他技術

深度造假 AI 市場規模（按產業分類）及複合年成長率（2025-2032 年）

市場概覽
BFSI
通訊
政府/國防
醫療保健和生命科學
法律
媒體與娛樂
零售與電子商務
其他行業

深度造假 AI 市場規模及複合年成長率（2025-2032）

北美洲
- 美國
- 加拿大
歐洲
- 德國
- 西班牙
- 法國
- 英國
- 義大利
- 其他歐洲國家地區
亞太地區
- 中國
- 印度
- 日本
- 韓國
- 其他亞太地區
拉丁美洲
- 巴西
- 其他拉丁美洲
中東和非洲
- 海灣合作理事會國家
- 南非
- 其他中東和非洲地區

競爭資訊

前五大公司對比
主要企業市場定位（2024年）
主要市場參與者所採取的策略
近期市場趨勢
公司市場佔有率分析（2024年）
主要企業簡介
- 公司詳情
- 產品系列分析
- 公司分部佔有率分析
- 收益同比對比（2022-2024 年）

主要企業簡介

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

結論和建議

簡介目錄

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