1 エグゼクティブ・サマリー
2 序文
2.1 概要
2.2 ステークホルダー
2.3 調査範囲
2.4 調査方法
2.4.1 データマイニング
2.4.2 データ分析
2.4.3 データの検証
2.4.4 リサーチアプローチ
2.5 リサーチソース
2.5.1 一次調査ソース
2.5.2 セカンダリーリサーチソース
2.5.3 前提条件
3 市場動向分析
3.1 はじめに
3.2 推進要因
3.3 抑制要因
3.4 機会
3.5 脅威
3.6 技術分析
3.7 アプリケーション分析
3.8 エンドユーザー分析
3.9 新興市場
3.10 Covid-19の影響
4 ポーターズファイブフォース分析
4.1 供給者の交渉力
4.2 買い手の交渉力
4.3 代替品の脅威
4.4 新規参入の脅威
4.5 競争上のライバル関係
5 ディープフェイク技術の世界市場（コンテンツタイプ別
5.1 はじめに
5.2 動画ディープフェイク
5.3 画像ディープフェイク
5.4 音声ディープフェイク
5.5 テキストディープフェイク
5.6 その他のコンテンツタイプ
6 世界のディープフェイク技術市場、コンポーネント別
6.1 はじめに
6.2 ソフトウェア
6.2.1 ディープフェイク生成ソフトウェア
6.2.2 メディア認証ツール
6.2.3 フォレンジック分析ソフトウェア
6.2.4 コンテンツモデレーションソフトウェア
6.3 サービス
6.3.1 プロフェッショナル・サービス
6.3.2 マネージドサービス
6.4 ハードウェア
6.4.1 高性能GPU
6.4.2 計算インフラ
7 世界のディープフェイク技術市場、技術別
7.1 はじめに
7.2 GAN（Generative Adversarial Networks：生成的逆数ネットワーク）
7.3 オートエンコーダ
7.4 リカレントニューラルネットワーク（RNN）
7.5 拡散モデル
7.6 自然言語処理（NLP）
7.7 その他の技術
8 ディープフェイク技術の世界市場、用途別
8.1 はじめに
8.2 コールセンターセキュリティ
8.3 不正検知
8.4 国家セキュリティ
8.5 医療トレーニング＆シミュレーション
8.6 デジタルコンテンツ作成
8.7 その他の用途
9 世界のディープフェイク技術市場、エンドユーザー別
9.1 はじめに
9.2 通信
9.3 政府・防衛
9.4 ヘルスケア＆ライフサイエンス
9.5 メディア＆エンターテインメント
9.6 小売・Eコマース
9.7 その他のエンドユーザー
10 ディープフェイク技術の世界市場（地域別
10.1 はじめに
10.2 北米
10.2.1 アメリカ
10.2.2 カナダ
10.2.3 メキシコ
10.3 ヨーロッパ
10.3.1 ドイツ
10.3.2 イギリス
10.3.3 イタリア
10.3.4 フランス
10.3.5 スペイン
10.3.6 その他のヨーロッパ
10.4 アジア太平洋
10.4.1 日本
10.4.2 中国
10.4.3 インド
10.4.4 オーストラリア
10.4.5 ニュージーランド
10.4.6 韓国
10.4.7 その他のアジア太平洋地域
10.5 南米
10.5.1 アルゼンチン
10.5.2 ブラジル
10.5.3 チリ
10.5.4 その他の南米地域
10.6 中東・アフリカ
10.6.1 サウジアラビア
10.6.2 アラブ首長国連邦
10.6.3 カタール
10.6.4 南アフリカ
10.6.5 その他の中東・アフリカ地域
11 主要開発
11.1 契約、パートナーシップ、提携、合弁事業
11.2 買収と合併
11.3 新製品上市
11.4 事業拡大
11.5 その他の主要戦略
12 企業プロフィール
Intel Corporation
NVIDIA
Facebook
Google LLC
Twitter
Cogito Tech
Tencent
Microsoft
Kairos
Reface AI
Amazon Web Services
Adobe
TikTok and DeepWare AI.
表一覧
表1 ディープフェイク技術の世界市場展望：地域別（2022-2030年） ($MN)
表2 ディープフェイク技術の世界市場展望：コンテンツタイプ別（2022-2030年） ($MN)
表3 ディープフェイク技術の世界市場展望：ビデオディープフェイク別 (2022-2030) ($MN)
表4 ディープフェイク技術の世界市場展望：画像ディープフェイク別 (2022-2030) ($MN)
表5 ディープフェイク技術の世界市場展望：オーディオディープフェイク別 (2022-2030) ($MN)
表6 ディープフェイク技術の世界市場展望：テキストディープフェイク別 (2022-2030) ($MN)
表7 ディープフェイク技術の世界市場展望：その他のコンテンツタイプ別 (2022-2030) ($MN)
表8 ディープフェイク技術の世界市場展望：コンポーネント別 (2022-2030) ($MN)
表9 ディープフェイク技術の世界市場展望：ソフトウェア別（2022-2030年） ($MN)
表10 ディープフェイク技術の世界市場展望：Deepfake生成ソフトウェア別 (2022-2030) ($MN)
表11 ディープフェイク技術の世界市場展望：メディア認証ツール別 (2022-2030) ($MN)
表12 ディープフェイク技術の世界市場展望：フォレンジック分析ソフトウェア別 (2022-2030) ($MN)
表13 ディープフェイク技術の世界市場展望：コンテンツモデレーションソフトウェア別 (2022-2030) ($MN)
表14 ディープフェイク技術の世界市場展望：サービス別（2022-2030年） ($MN)
表15 ディープフェイク技術の世界市場展望：プロフェッショナルサービス別（2022-2030年） ($MN)
表16 ディープフェイク技術の世界市場展望：マネージドサービス別（2022-2030年） ($MN)
表17 ディープフェイク技術の世界市場展望：ハードウェア別（2022-2030年） ($MN)
表18 ディープフェイク技術の世界市場展望：高性能GPU別（2022-2030年） ($MN)
表19 ディープフェイク技術の世界市場展望：計算インフラ別 (2022-2030) ($MN)
表20 ディープフェイク技術の世界市場展望：技術別 (2022-2030) ($MN)
表21 ディープフェイク技術の世界市場展望：生成逆数ネットワーク（GAN）別 (2022-2030) ($MN)
表22 ディープフェイク技術の世界市場展望：オートエンコーダ別 (2022-2030) ($MN)
表23 ディープフェイク技術の世界市場展望：リカレントニューラルネットワーク（RNN）別 (2022-2030) ($MN)
表24 ディープフェイク技術の世界市場展望：拡散モデル別 (2022-2030) ($MN)
表25 ディープフェイク技術の世界市場展望：自然言語処理（NLP）別（2022-2030年） ($MN)
表26 ディープフェイク技術の世界市場展望：その他の技術別 (2022-2030) ($MN)
表27 ディープフェイク技術の世界市場展望：用途別 (2022-2030) ($MN)
表28 ディープフェイク技術の世界市場展望：コールセンターセキュリティ別 (2022-2030) ($MN)
表29 ディープフェイク技術の世界市場展望：不正検知別（2022-2030年） ($MN)
表30 ディープフェイク技術の世界市場展望：国家セキュリティ別（2022-2030年） ($MN)
表31 ディープフェイク技術の世界市場展望：医療トレーニング＆シミュレーション別 (2022-2030) ($MN)
表32 ディープフェイク技術の世界市場展望：デジタルコンテンツ作成別 (2022-2030) ($MN)
表33 ディープフェイク技術の世界市場展望：その他の用途別（2022-2030年） ($MN)
表34 ディープフェイク技術の世界市場展望：エンドユーザー別 (2022-2030) ($MN)
表35 ディープフェイク技術の世界市場展望：通信別 (2022-2030) ($MN)
表36 ディープフェイク技術の世界市場展望：政府・防衛別 (2022-2030) ($MN)
表37 ディープフェイク技術の世界市場展望：ヘルスケア・ライフサイエンス別 (2022-2030) ($MN)
表38 ディープフェイク技術の世界市場展望：メディア・エンターテインメント別 (2022-2030) ($MN)
表39 ディープフェイク技術の世界市場展望：小売・Eコマース別 (2022-2030年) ($MN)
表40 ディープフェイク技術の世界市場展望：その他のエンドユーザー別 (2022-2030) ($MN)
注）北米、ヨーロッパ、APAC、南米、中東・アフリカ地域の表も上記と同様に表記しています。
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
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.
