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1577175

深度偽造技術市場至2030年的預測：按內容類型、組件、技術、應用、最終用戶和地區的全球分析

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個工作天內

價格

根據 Stratistics MRC 的資料，2024年全球深度偽造技術市場規模將達到 77億美元，預計到2030年將達到 290億美元，預測期內年複合成長率為 24.5%。

深度偽造技術利用人工智慧創建超現實的數位內容，尤其是模仿真人的影片和音訊。透過採用深度學習演算法，可以無縫地操縱或產生媒體，難以區分真實內容和捏造內容。雖然這項技術在娛樂和教育方面具有潛在的應用，但也存在重大的道德問題，因為它可能被濫用於錯誤訊息、詐騙和惡意活動，並且需要製定如何有效地檢測和負責任地使用它。

對個人化內容的需求不斷成長

人工智慧的進步和消費者對客製化體驗不斷成長的期望推動了市場對個人化內容不斷成長的需求。娛樂、行銷和教育等行業的公司利用深度偽造功能來創建與個人觀眾產生共鳴的客製化媒體。這一趨勢使品牌能夠更有效地吸引用戶、增強故事敘述並改善客戶體驗。

快速發展的營運技術

市場上操縱科技的快速發展帶來了嚴重的負面後果，包括錯誤訊息的傳播和對數位媒體的信任度下降。隨著這些技術變得更加複雜，區分真實內容和捏造內容變得更加困難，為詐騙、騷擾和政治操縱打開了大門。因此，迫切需要加強檢測方法和法律規範，以有效降低這些風險。

數位媒體平台的普及

數位媒體平台的激增透過提供可存取的管道來共用和分發受操縱的內容，對市場產生了重大影響。社群媒體和影片串流服務等平台的發展促進了深度偽造的快速傳播，常常模糊了現實與虛構之間的界線。這種可存取性增加了娛樂和行銷中創造性應用的潛力，但也引起了對錯誤訊息、侵犯隱私和道德影響的擔憂。

企業認知度低

企業對深度偽造技術的認知有限可能會產生嚴重的負面後果，包括容易遭受意外濫用和操縱。許多組織可能不完全了解與深度偽造相關的潛在風險，並且容易受到錯誤訊息宣傳活動、詐騙和聲譽損害的影響。這種知識的缺乏可能會阻礙有效政策和保障措施的製定，使公司承擔法律責任，並削弱消費者的信心。

COVID-19 的影響：

COVID-19 的爆發對市場產生了重大影響，加速了數位內容的消費和對遠端通訊工具的需求。隨著人們轉向線上平台進行娛樂、教育和社交互動，對個人化和身臨其境型媒體的興趣與日俱增。數位化參與度的激增刺激了虛擬活動和線上學習等多個領域的深度偽造應用程式的創新。但對假訊息和深度偽造的道德使用的擔憂也有所增加，需要更好的監管和檢測方法。

音訊深度偽造領域預計在預測期內成長最高

預計音訊深度偽造領域將在預測期內佔據最大的市場佔有率。該技術可應用於娛樂、遊戲和個人化內容，使創作者能夠創建逼真的敘述或重現歷史人物的演講。然而，音訊深度偽造的興起引發了嚴重的道德問題，包括潛在的詐騙、錯誤訊息和身分竊盜。隨著意識的提高，對強大的檢測工具和法規結構的需求變得越來越重要。

預計通訊業在預測期內的年複合成長率最高

通訊業能夠透過深度偽造快速傳輸和共用深度偽造內容，預計在預測期內年複合成長率最高。隨著行動和網路連接的改善，用戶將能夠輕鬆存取和分發複雜的深度偽造，影響通訊和媒體消費。通訊公司面臨著檢測和減輕有害深度偽造傳播的挑戰，這些偽造品會導致錯誤訊息和侵犯隱私。

佔有率最大的地區

由於人工智慧的進步和各行業對創新內容的需求不斷增加，預計北美地區將在預測期內佔據最大的市場佔有率。由主要企業和研究機構組成的強大技術生態系統推動娛樂、行銷和安全領域先進的深度偽造應用程式的開發。

年複合成長率最高的地區：

由於技術的快速進步和數位化參與度的增加，預計亞太地區在預測期內將實現最高的成長率。 深度偽造用於在電影和行銷宣傳活動中創建引人入勝的內容。人們越來越有興趣使用深度偽造技術創建互動式培訓材料並透過真實模擬增強學習體驗。隨著市場的成長，平衡創新和道德考量對於永續發展非常重要。

提供免費客製化：

訂閱此報告的客戶可以存取以下免費自訂選項之1：

  • 公司簡介
    • 其他市場參與者的綜合分析（最多3家公司）
    • 主要企業SWOT分析（最多3家公司）
  • 區域細分
    • 根據客戶興趣對主要國家的市場估計、預測和年複合成長率（註：基於可行性檢查）
  • 競爭標基準化分析
    • 根據產品系列、地理分佈和策略聯盟對主要企業基準化分析

目錄

第1章 執行摘要

第2章 前言

  • 概述
  • 相關利益者
  • 調查範圍
  • 調查方法
    • 資料探勘
    • 資料分析
    • 資料檢驗
    • 研究途徑
  • 研究資訊來源
    • 主要研究資訊來源
    • 二次研究資訊來源
    • 先決條件

第3章 市場趨勢分析

  • 促進因素
  • 抑制因素
  • 機會
  • 威脅
  • 技術分析
  • 應用分析
  • 最終用戶分析
  • 新興市場
  • COVID-19 的影響

第4章 波特五力分析

  • 供應商的議價能力
  • 買方議價能力
  • 替代品的威脅
  • 新進入者的威脅
  • 競爭公司之間的敵對關係

第5章 全球深度偽造技術市場：依內容類型

  • 影片深度偽造
  • 深度偽造影像
  • 音訊深度偽造
  • 文字深度偽造
  • 其他內容類型

第6章 全球深度偽造技術市場：依組成部分

  • 軟體
    • 深度偽造生成軟體
    • 媒體認證工具
    • 法醫學分析軟體
    • 內容審核軟體
  • 服務
    • 專業服務
    • 託管服務
  • 硬體
    • 高效能GPU
    • 計算基礎設施

第7章 全球深度偽造技術市場：依技術分類

  • 生成對抗網路（GAN）
  • 自動編碼器
  • 循環神經網路（RNN）
  • 擴散模型
  • 自然語言處理（NLP）
  • 其他技術

第8章 全球深度偽造技術市場：依應用分類

  • 客服中心安全
  • 詐欺偵測
  • 國家安全
  • 醫療訓練和模擬
  • 數位內容製作
  • 其他用途

第9章 全球深度偽造技術市場：依最終用戶分類

  • 通訊
  • 政府和國防
  • 醫療保健和生命科學
  • 媒體和娛樂
  • 零售/電子商務
  • 其他最終用戶

第10章 全球深度偽造技術市場：依地區

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 義大利
    • 法國
    • 西班牙
    • 其他歐洲國家
  • 亞太地區
    • 日本
    • 中國
    • 印度
    • 澳洲
    • 紐西蘭
    • 韓國
    • 其他亞太地區
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地區
  • 中東、非洲
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 卡達
    • 南非
    • 其他中東和非洲

第11章 主要進展

  • 合約、夥伴關係、協作和合資企業
  • 收購和合併
  • 新產品發布
  • 業務拓展
  • 其他關鍵策略

第12章 公司概況

  • 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.