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市场调查报告书
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1525345

全球 Deepfake AI 市场规模研究（按产品、技术、垂直和区域预测 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个工作天内

价格
简介目录

2023年全球Deepfake人工智慧市场价值约3.9015亿美元，预计在2024-2032年预测期间将以超过44.56%的健康成长率成长。 Deepfake AI 是指利用人工智慧和机器学习技术来创建高度真实且令人信服的音讯、视讯和影像的数位伪造品。这些合成媒体通常是使用生成对抗网路（GAN）等技术生成的，其中两个神经网路竞争以产生越来越令人信服的假货。 Deepfakes 可以操纵个人的外表、动作和声音，让他们看起来在说或做一些他们实际上从未做过的事情。虽然这项技术在娱乐和创意艺术方面具有潜在的应用，但它也带来了重大的道德和安全挑战，包括错误讯息的传播、身分盗窃和侵犯隐私。

全球 Deepfake 人工智慧市场是由受操纵媒体（或“deepfakes”）激增推动的，对数位身分构成重大威胁，推动了对复杂检测工具的需求。随着深度造假变得越来越令人信服，保护个人和机构免受身分盗窃、诈骗和错误资讯侵害的需求也日益强烈。这种需求促进了旨在创建和检测深度赝品的尖端人工智慧工具的开发，从而导致市场迅速扩大。公司和政府正在分配大量资源来增强数位安全性和真实性，从而推动市场成长。此外，检测供应商、研究机构和政府之间的合作为减轻深度造假风险提供了重要机会。此外，区块链技术为追踪和验证数位内容提供了有前途的解决方案，有助于提供更强大的方法来维护数位完整性和公众信任。然而，数位媒体操纵技术的快速发展将阻碍 2024-2032 年预测期内市场的整体需求。

全球 Deepfake 人工智慧市场研究考虑的关键区域包括亚太地区、北美、欧洲、拉丁美洲和世界其他地区。 2023 年，亚太地区预计将在预测期内经历 Deepfake 人工智慧市场的最高成长率。东南亚与深度造假相关的犯罪事件不断增加，加上该地区数位金融交易量庞大，推动了对有效检测解决方案的需求。随着该地区各国政府加强监管深度造假，这些技术的市场预计将蓬勃发展。此外，预计北美市场在 2024 年至 2032 年的预测期内将以最快的速度发展。

目录

第 1 章：全球 Deepfake 人工智慧市场执行摘要

  • 全球 Deepfake AI 市场规模及预测（2022-2032）
  • 区域概要
  • 分部摘要
    • 透过提供
    • 依技术
    • 按垂直方向
  • 主要趋势
  • 经济衰退的影响
  • 分析师推荐与结论

第 2 章：全球 Deepfake AI 市场定义与研究假设

  • 研究目的
  • 市场定义
  • 研究假设
    • 包含与排除
    • 限制
    • 供给侧分析
      • 可用性
      • 基础设施
      • 监管环境
      • 市场竞争
      • 经济可行性（消费者的角度）
    • 需求面分析
      • 监理框架
      • 技术进步
      • 环境考虑
      • 消费者意识和接受度
  • 估算方法
  • 研究考虑的年份
  • 货币兑换率

第 3 章：全球 Deepfake 人工智慧市场动态

  • 市场驱动因素
    • 越来越多的深度伪造对数位身分构成威胁
    • 在娱乐和广告领域的应用不断增长
  • 市场挑战
    • 快速发展的数位媒体操作技术
    • 企业对 Deepfake 媒体的认识有限
  • 市场机会
    • Deepfake检测供应商、研究机构和政府之间的合作
    • 用于内容验证的区块链技术的进步

第 4 章：全球 Deepfake AI 市场产业分析

  • 波特的五力模型
    • 供应商的议价能力
    • 买家的议价能力
    • 新进入者的威胁
    • 替代品的威胁
    • 竞争竞争
    • 波特五力模型的未来方法
    • 波特的五力影响分析
  • PESTEL分析
    • 政治的
    • 经济
    • 社会的
    • 技术性
    • 环境的
    • 合法的
  • 顶级投资机会
  • 最佳制胜策略
  • 颠覆性趋势
  • 产业专家视角
  • 分析师推荐与结论

第 5 章：全球 Deepfake AI 市场规模与预测：依产品分类 - 2022-2032

  • 细分仪表板
  • 全球 Deepfake AI 市场：2022 年和 2032 年收入趋势分析
    • 软体
    • 服务

第 6 章：全球 Deepfake AI 市场规模与预测：按技术分类 - 2022-2032

  • 细分仪表板
  • 全球 Deepfake AI 市场：2022 年和 2032 年技术收入趋势分析
    • 生成对抗网络
    • 自动编码器
    • 循环神经网络
    • 扩散模型
    • 变压器型号
    • 自然语言处理
    • 其他的

第 7 章：全球 Deepfake AI 市场规模与预测：按垂直领域 - 2022-2032

  • 细分仪表板
  • 全球 Deepfake AI 市场：2022 年和 2032 年垂直收入趋势分析
    • BFSI
    • 电信
    • 政府与国防
    • 医疗保健与生命科学
    • 合法的
    • 媒体与娱乐
    • 零售与电子商务
    • 其他垂直领域

第 8 章：全球 Deepfake AI 市场规模与预测：按地区 - 2022-2032

  • 北美洲
    • 我们
    • 加拿大
  • 欧洲
    • 英国
    • 德国
    • 法国
    • 西班牙
    • 义大利
    • 欧洲其他地区
  • 亚太
    • 中国
    • 印度
    • 日本
    • 澳洲
    • 韩国
    • 亚太地区其他地区
  • 拉丁美洲
    • 巴西
    • 墨西哥
    • 拉丁美洲其他地区
  • 中东和非洲
    • 沙乌地阿拉伯
    • 南非
    • 中东和非洲其他地区

第 9 章：竞争情报

  • 重点企业SWOT分析
  • 顶级市场策略
  • 公司简介
    • Microsoft
      • 关键讯息
      • 概述
      • 财务（视数据可用性而定）
      • 产品概要
      • 市场策略
    • 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：研究过程

  • 研究过程
    • 资料探勘
    • 分析
    • 市场预测
    • 验证
    • 出版
  • 研究属性
简介目录

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