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市場調查報告書
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1525345

全球 Deepfake AI 市場規模研究（按產品、技術、垂直和區域預測 2022-2032）

Global Deepfake AI Market Size Study, by Offering, by Technology, by Vertical and Regional Forecasts 2022-2032
出版日期: | 出版商: Bizwit Research & Consulting LLP | 英文 285 Pages | 商品交期: 2-3個工作天內

價格
簡介目錄

2023年全球Deepfake人工智慧市場價值約3.9015億美元，預計在2024-2032年預測期間將以超過44.56%的健康成長率成長。 Deepfake AI 是指利用人工智慧和機器學習技術來創建高度真實且令人信服的音訊、視訊和影像的數位偽造品。這些合成媒體通常是使用生成對抗網路（GAN）等技術生成的，其中兩個神經網路競爭以產生越來越令人信服的假貨。 Deepfakes 可以操縱個人的外表、動作和聲音，讓他們看起來在說或做一些他們實際上從未做過的事情。雖然這項技術在娛樂和創意藝術方面具有潛在的應用，但它也帶來了重大的道德和安全挑戰，包括錯誤訊息的傳播、身分盜竊和侵犯隱私。

全球 Deepfake 人工智慧市場是由受操縱媒體（或“deepfakes”）激增推動的，對數位身分構成重大威脅，推動了對複雜檢測工具的需求。隨著深度造假變得越來越令人信服，保護個人和機構免受身分盜竊、詐騙和錯誤資訊侵害的需求也日益強烈。這種需求促進了旨在創建和檢測深度贗品的尖端人工智慧工具的開發，從而導致市場迅速擴大。公司和政府正在分配大量資源來增強數位安全性和真實性，從而推動市場成長。此外，檢測供應商、研究機構和政府之間的合作為減輕深度造假風險提供了重要機會。此外，區塊鏈技術為追蹤和驗證數位內容提供了有前途的解決方案，有助於提供更強大的方法來維護數位完整性和公眾信任。然而，數位媒體操縱技術的快速發展將阻礙 2024-2032 年預測期內市場的整體需求。

全球 Deepfake 人工智慧市場研究涵蓋的關鍵區域包括亞太地區、北美、歐洲、拉丁美洲和世界其他地區。 2023 年，亞太地區預計將在預測期內經歷 Deepfake 人工智慧市場的最高成長率。東南亞與深度造假相關的犯罪事件不斷增加，加上該地區數位金融交易量龐大，推動了對有效檢測解決方案的需求。隨著該地區各國政府加強監管深度造假，這些技術的市場預計將蓬勃發展。此外，預計北美市場在 2024 年至 2032 年的預測期內將以最快的速度發展。

目錄

第 1 章：全球 Deepfake 人工智慧市場執行摘要

  • 全球 Deepfake AI 市場規模及預測（2022-2032）
  • 區域概要
  • 分部摘要
    • 透過提供
    • 依技術
    • 按垂直方向
  • 主要趨勢
  • 經濟衰退的影響
  • 分析師推薦與結論

第 2 章：全球 Deepfake AI 市場定義與研究假設

  • 研究目的
  • 市場定義
  • 研究假設
    • 包含與排除
    • 限制
    • 供給側分析
      • 可用性
      • 基礎設施
      • 監管環境
      • 市場競爭
      • 經濟可行性（消費者的角度）
    • 需求面分析
      • 監理框架
      • 技術進步
      • 環境考慮
      • 消費者意識和接受度
  • 估算方法
  • 研究涵蓋的年份
  • 貨幣兌換率

第 3 章：全球 Deepfake 人工智慧市場動態

  • 市場促進因素
    • 越來越多的深度偽造對數位身分構成威脅
    • 在娛樂和廣告領域的應用不斷成長
  • 市場挑戰
    • 快速發展的數位媒體操作技術
    • 企業對 Deepfake 媒體的認知有限
  • 市場機會
    • Deepfake檢測供應商、研究機構和政府之間的合作
    • 用於內容驗證的區塊鏈技術的進步

第 4 章：全球 Deepfake AI 市場產業分析

  • 波特的五力模型
    • 供應商的議價能力
    • 買家的議價能力
    • 新進入者的威脅
    • 替代品的威脅
    • 競爭競爭
    • 波特五力模型的未來方法
    • 波特的五力影響分析
  • PESTEL分析
    • 政治的
    • 經濟
    • 社會的
    • 技術性
    • 環境的
    • 合法的
  • 頂級投資機會
  • 最佳制勝策略
  • 顛覆性趨勢
  • 產業專家視角
  • 分析師推薦與結論

第 5 章：全球 Deepfake AI 市場規模與預測：依產品分類 - 2022-2032

  • 細分儀表板
  • 全球 Deepfake AI 市場：2022 年和 2032 年收入趨勢分析
    • 軟體
    • 服務

第 6 章：全球 Deepfake AI 市場規模與預測：按技術分類 - 2022-2032

  • 細分儀表板
  • 全球 Deepfake AI 市場：2022 年和 2032 年技術收入趨勢分析
    • 生成對抗網路
    • 自動編碼器
    • 循環神經網路
    • 擴散模型
    • 變壓器型號
    • 自然語言處理
    • 其他

第 7 章：全球 Deepfake AI 市場規模與預測：按垂直領域 - 2022-2032

  • 細分儀表板
  • 全球 Deepfake AI 市場：2022 年和 2032 年垂直收入趨勢分析
    • BFSI
    • 電信
    • 政府與國防
    • 醫療保健與生命科學
    • 合法的
    • 媒體與娛樂
    • 零售與電子商務
    • 其他垂直領域

第 8 章：全球 Deepfake AI 市場規模與預測：按地區 - 2022-2032

  • 北美洲
    • 美國
    • 加拿大
  • 歐洲
    • 英國
    • 德國
    • 法國
    • 西班牙
    • 義大利
    • 歐洲其他地區
  • 亞太
    • 中國
    • 印度
    • 日本
    • 澳洲
    • 韓國
    • 亞太地區其他地區
  • 拉丁美洲
    • 巴西
    • 墨西哥
    • 拉丁美洲其他地區
  • 中東和非洲
    • 沙烏地阿拉伯
    • 南非
    • 中東和非洲其他地區

第 9 章：競爭情報

  • 重點企業SWOT分析
  • 頂級市場策略
  • 公司簡介
    • Microsoft
      • 關鍵訊息
      • 概述
      • 財務（視數據可用性而定）
      • 產品概要
      • 市場策略
    • AWS
    • Google
    • Intel
    • Veritone
    • Cogito Tech
    • Primeau Forensics
    • iProov
    • Kairos
    • ValidSoft
    • Safilo Group SPA
    • Silhouette International Schmied AG
    • EssilorLuxottica
    • Mondottica Limited
    • Fielmann Group AG

第 10 章：研究過程

  • 研究過程
    • 資料探勘
    • 分析
    • 市場預測
    • 驗證
    • 出版
  • 研究屬性
簡介目錄

Global Deepfake AI Market is valued at approximately USD 390.15 million in 2023 and is anticipated to grow with a healthy growth rate of more than 44.56% over the forecast period 2024-2032. Deepfake AI refers to the use of artificial intelligence and machine learning technologies to create highly realistic and convincing digital forgeries of audio, video, and images. These synthetic media are often generated using techniques such as generative adversarial networks (GANs), where two neural networks compete to produce increasingly convincing fakes. Deepfakes can manipulate the appearance, movements, and voices of individuals, making them appear to say or do things they never actually did. While this technology has potential applications in entertainment and creative arts, it also poses significant ethical and security challenges, including the spread of misinformation, identity theft, and privacy violations.

The Global Deepfake AI Market is driven by surge in manipulated media, or 'deepfakes,' poses a significant threat to digital identity, driving demand for sophisticated detection tools. As deepfakes become increasingly convincing, the need to protect individuals and institutions from identity theft, scams, and misinformation intensifies. This demand catalyzes the development of cutting-edge AI tools aimed at both the creation and detection of deepfakes, resulting in a rapidly expanding market. Companies and governments are allocating substantial resources to enhance digital security and authenticity, which in turn propels market growth. Moreover, collaborative efforts between detection vendors, research institutes, and governments present significant opportunities to mitigate deepfake risks. Additionally, blockchain technology offers promising solutions for tracking and verifying digital content, contributing to a more robust approach to safeguarding digital integrity and public trust. However, rapid evolution of digital media manipulation techniques is going to impede the overall demand for the market during the forecast period 2024-2032.

The key regions considered for Global Deepfake AI Market study includes Asia Pacific, North America, Europe, Latin America, and Rest of the World. In 2023, the Asia Pacific region is poised to experience the highest growth rate in the deepfake AI market during the forecast period. The increasing incidence of deepfake-related crimes in Southeast Asia, coupled with the region's high volume of digital financial transactions, drives demand for effective detection solutions. As governments in this region intensify efforts to regulate deepfakes, the market for these technologies is expected to flourish. Furthermore, the market in North America is anticipated to develop at the fastest rate over the forecast period 2024-2032.

Major market player included in this report are:

  • Microsoft
  • AWS
  • Google
  • Intel
  • Veritone
  • Cogito Tech
  • Primeau Forensics
  • iProov
  • Kairos
  • ValidSoft
  • Safilo Group S.P.A
  • Silhouette International Schmied AG
  • EssilorLuxottica
  • Mondottica Limited
  • Fielmann Group AG

The detailed segments and sub-segment of the market are explained below:

By Offering:

  • Software
  • Services

By Technology:

  • Generative Adversarial Networks
  • Autoencoders
  • Recurrent Neural Networks
  • Diffusion Models
  • Transformer Models
  • Natural Language Processing
  • Others

By Vertical:

  • BFSI
  • Telecommunications
  • Government & Defense
  • Healthcare & Life Sciences
  • Legal
  • Media & Entertainment
  • Retail & E-commerce
  • Other Verticals

By Region:

  • North America
  • U.S.
  • Canada
  • Europe
  • UK
  • Germany
  • France
  • Spain
  • Italy
  • ROE
  • Asia Pacific
  • China
  • India
  • Japan
  • Australia
  • South Korea
  • RoAPAC
  • Latin America
  • Brazil
  • Mexico
  • Middle East & Africa
  • Saudi Arabia
  • South Africa
  • RoMEA

Years considered for the study are as follows:

  • Historical year - 2022
  • Base year - 2023
  • Forecast period - 2024 to 2032

Key Takeaways:

  • Market Estimates & Forecast for 10 years from 2022 to 2032.
  • Annualized revenues and regional level analysis for each market segment.
  • Detailed analysis of geographical landscape with Country level analysis of major regions.
  • Competitive landscape with information on major players in the market.
  • Analysis of key business strategies and recommendations on future market approach.
  • Analysis of competitive structure of the market.
  • Demand side and supply side analysis of the market

Table of Contents

Chapter 1. Global Deepfake AI Market Executive Summary

  • 1.1. Global Deepfake AI Market Size & Forecast (2022-2032)
  • 1.2. Regional Summary
  • 1.3. Segmental Summary
    • 1.3.1. By Offering
    • 1.3.2. By Technology
    • 1.3.3. By Vertical
  • 1.4. Key Trends
  • 1.5. Recession Impact
  • 1.6. Analyst Recommendation & Conclusion

Chapter 2. Global Deepfake AI Market Definition and Research Assumptions

  • 2.1. Research Objective
  • 2.2. Market Definition
  • 2.3. Research Assumptions
    • 2.3.1. Inclusion & Exclusion
    • 2.3.2. Limitations
    • 2.3.3. Supply Side Analysis
      • 2.3.3.1. Availability
      • 2.3.3.2. Infrastructure
      • 2.3.3.3. Regulatory Environment
      • 2.3.3.4. Market Competition
      • 2.3.3.5. Economic Viability (Consumer's Perspective)
    • 2.3.4. Demand Side Analysis
      • 2.3.4.1. Regulatory frameworks
      • 2.3.4.2. Technological Advancements
      • 2.3.4.3. Environmental Considerations
      • 2.3.4.4. Consumer Awareness & Acceptance
  • 2.4. Estimation Methodology
  • 2.5. Years Considered for the Study
  • 2.6. Currency Conversion Rates

Chapter 3. Global Deepfake AI Market Dynamics

  • 3.1. Market Drivers
    • 3.1.1. Increasing deepfakes posing a threat to digital identity
    • 3.1.2. Growing application in entertainment and advertising
  • 3.2. Market Challenges
    • 3.2.1. Rapidly evolving techniques for digital media manipulation
    • 3.2.2. Limited awareness regarding deepfake media across enterprises
  • 3.3. Market Opportunities
    • 3.3.1. Collaborative efforts between deepfake detection vendors, research institutes, and government
    • 3.3.2. Advancements in blockchain technology for content verification

Chapter 4. Global Deepfake AI Market Industry Analysis

  • 4.1. Porter's 5 Force Model
    • 4.1.1. Bargaining Power of Suppliers
    • 4.1.2. Bargaining Power of Buyers
    • 4.1.3. Threat of New Entrants
    • 4.1.4. Threat of Substitutes
    • 4.1.5. Competitive Rivalry
    • 4.1.6. Futuristic Approach to Porter's 5 Force Model
    • 4.1.7. Porter's 5 Force Impact Analysis
  • 4.2. PESTEL Analysis
    • 4.2.1. Political
    • 4.2.2. Economical
    • 4.2.3. Social
    • 4.2.4. Technological
    • 4.2.5. Environmental
    • 4.2.6. Legal
  • 4.3. Top investment opportunity
  • 4.4. Top winning strategies
  • 4.5. Disruptive Trends
  • 4.6. Industry Expert Perspective
  • 4.7. Analyst Recommendation & Conclusion

Chapter 5. Global Deepfake AI Market Size & Forecasts by Offering 2022-2032

  • 5.1. Segment Dashboard
  • 5.2. Global Deepfake AI Market: Offering Revenue Trend Analysis, 2022 & 2032 (USD Million)
    • 5.2.1. Software
    • 5.2.2. Services

Chapter 6. Global Deepfake AI Market Size & Forecasts by Technology 2022-2032

  • 6.1. Segment Dashboard
  • 6.2. Global Deepfake AI Market: Technology Revenue Trend Analysis, 2022 & 2032 (USD Million)
    • 6.2.1. Generative Adversarial Networks
    • 6.2.2. Autoencoders
    • 6.2.3. Recurrent Neural Networks
    • 6.2.4. Diffusion Models
    • 6.2.5. Transformer Models
    • 6.2.6. Natural Language Processing
    • 6.2.7. Others

Chapter 7. Global Deepfake AI Market Size & Forecasts by Vertical 2022-2032

  • 7.1. Segment Dashboard
  • 7.2. Global Deepfake AI Market: Vertical Revenue Trend Analysis, 2022 & 2032 (USD Million)
    • 7.2.1. BFSI
    • 7.2.2. Telecommunications
    • 7.2.3. Government & Defense
    • 7.2.4. Healthcare & Life Sciences
    • 7.2.5. Legal
    • 7.2.6. Media & Entertainment
    • 7.2.7. Retail & E-commerce
    • 7.2.8. Other Verticals

Chapter 8. Global Deepfake AI Market Size & Forecasts by Region 2022-2032

  • 8.1. North America Deepfake AI Market
    • 8.1.1. U.S. Deepfake AI Market
      • 8.1.1.1. Offering breakdown size & forecasts, 2022-2032
      • 8.1.1.2. Technology breakdown size & forecasts, 2022-2032
      • 8.1.1.3. Vertical breakdown size & forecasts, 2022-2032
    • 8.1.2. Canada Deepfake AI Market
      • 8.1.2.1. Offering breakdown size & forecasts, 2022-2032
      • 8.1.2.2. Technology breakdown size & forecasts, 2022-2032
      • 8.1.2.3. Vertical breakdown size & forecasts, 2022-2032
  • 8.2. Europe Deepfake AI Market
    • 8.2.1. U.K. Deepfake AI Market
      • 8.2.1.1. Offering breakdown size & forecasts, 2022-2032
      • 8.2.1.2. Technology breakdown size & forecasts, 2022-2032
      • 8.2.1.3. Vertical breakdown size & forecasts, 2022-2032
    • 8.2.2. Germany Deepfake AI Market
    • 8.2.3. France Deepfake AI Market
    • 8.2.4. Spain Deepfake AI Market
    • 8.2.5. Italy Deepfake AI Market
    • 8.2.6. Rest of Europe Deepfake AI Market
  • 8.3. Asia-Pacific Deepfake AI Market
    • 8.3.1. China Deepfake AI Market
    • 8.3.2. India Deepfake AI Market
    • 8.3.3. Japan Deepfake AI Market
    • 8.3.4. Australia Deepfake AI Market
    • 8.3.5. South Korea Deepfake AI Market
    • 8.3.6. Rest of Asia Pacific Deepfake AI Market
  • 8.4. Latin America Deepfake AI Market
    • 8.4.1. Brazil Deepfake AI Market
    • 8.4.2. Mexico Deepfake AI Market
    • 8.4.3. Rest of Latin America Deepfake AI Market
  • 8.5. Middle East & Africa Deepfake AI Market
    • 8.5.1. Saudi Arabia Deepfake AI Market
    • 8.5.2. South Africa Deepfake AI Market
    • 8.5.3. Rest of Middle East & Africa Deepfake AI Market

Chapter 9. Competitive Intelligence

  • 9.1. Key Company SWOT Analysis
  • 9.2. Top Market Strategies
  • 9.3. Company Profiles
    • 9.3.1. Microsoft
      • 9.3.1.1. Key Information
      • 9.3.1.2. Overview
      • 9.3.1.3. Financial (Subject to Data Availability)
      • 9.3.1.4. Product Summary
      • 9.3.1.5. Market Strategies
    • 9.3.2. AWS
    • 9.3.3. Google
    • 9.3.4. Intel
    • 9.3.5. Veritone
    • 9.3.6. Cogito Tech
    • 9.3.7. Primeau Forensics
    • 9.3.8. iProov
    • 9.3.9. Kairos
    • 9.3.10. ValidSoft
    • 9.3.11. Safilo Group S.P.A
    • 9.3.12. Silhouette International Schmied AG
    • 9.3.13. EssilorLuxottica
    • 9.3.14. Mondottica Limited
    • 9.3.15. Fielmann Group AG

Chapter 10. Research Process

  • 10.1. Research Process
    • 10.1.1. Data Mining
    • 10.1.2. Analysis
    • 10.1.3. Market Estimation
    • 10.1.4. Validation
    • 10.1.5. Publishing
  • 10.2. Research Attributes