首页 > 市场调查报告书 > 通讯

人工智能

市场调查报告书

商品编码

1621909

Deepfake AI 市场机会、成长动力、产业趋势分析及 2024 - 2032 年预测

Deepfake AI Market Opportunity, Growth Drivers, Industry Trend Analysis, and Forecast 2024 - 2032

出版日期: 2024年10月22日 | 出版商:

Global Market Insights Inc. | 英文 180 Pages | 商品交期: 2-3个工作天内

价格

简介目录

到2023 年，全球Deepfake 人工智慧市场价值将达到8.051 亿美元，预计将经历强劲成长，预计2024 年至2032 年复合年增长率为26.3%。成长而推动的。企业正在利用 Deepfake 技术创建客製化内容，更有效地吸引用户，从而提高客户互动和品牌忠诚度。娱乐和行销等行业处于这一趋势的最前沿，利用深度伪造技术讲述故事和互动活动来吸引註意力并提高参与度。人工智慧和机器学习的持续发展显着增强了合成媒体工具的功能，从而产生更准确、更真实的深度伪造内容。

这些创新正在扩大多个领域的采用，并鼓励增加研发投资。增强的演算法不仅可以提高生成内容的质量，还可以增强检测能力，解决对错误讯息的担忧并增强对数位媒体平台的信任。 Deepfake 人工智慧市场依解决方案分为软体和服务。 2023 年，软体领域以 76% 的份额占据市场主导地位，预计到 2032 年将超过 49 亿美元。

随着对错误讯息的担忧不断增加，对可靠检测软体的需求也在增加，进一步推动了市场成长。在考虑部署时，市场分为云端解决方案和本地解决方案。 2023 年，基于云端的解决方案占据 68% 的市场份额，组织因其可扩展性、灵活性和成本效益而青睐它们。云端基础设施使企业能够更有效地产生和侦测深度伪造品，并缩短处理时间并降低维护成本。

市场范围
开始年份	2023年
预测年份	2024-2032
起始值	8.051 亿美元
预测值	62.2 亿美元
复合年增长率	26.3%

远距工作的兴起和改进协作的需求也推动了对基于云端的 Deepfake AI 解决方案的需求不断增长，以及对资料安全的更加关注。北美在 2023 年引领 Deepfake AI 市场，占总营收的 42%。美国是人工智慧技术的全球领导者，推动了对深度造假和检测的投资。随着人们对错误讯息和资料安全的担忧日益增加，对有效检测工具的需求也不断增长。

此外，监管框架正在不断发展，以解决道德问题并确保负责任地使用深度造假技术，进一步影响市场动态。

产业生态系统分析
供应商格局
- 技术开发商
- 平台提供者
- 解决方案整合商
- 分销管道
- 最终用户
利润率分析
技术与创新格局
重要新闻和倡议
监管环境
价格分析
- 订阅模式
- 一次性购买
- 差异化因素
衝击力
- 成长动力
  - 对个人化数位内容的需求不断增长
  - 人工智慧和机器学习演算法的进步
  - 对 Deepfake 检测解决方案的需求不断增加
  - 社群媒体平台的广泛采用
- 产业陷阱与挑战
  - Deepfake 身份诈欺的高风险
  - 侦测先进的 Deepfake 技术有困难
成长潜力分析
波特的分析
PESTEL分析

第 4 章：竞争格局

介绍
公司市占率分析
竞争定位矩阵
战略展望矩阵

第 5 章：市场估计与预测：按解决方案，2021 - 2032 年

主要趋势
软体
- Deepfake一代
- 深度换脸侦测
- 内容审核
服务
- 专业的
- 託管

第 6 章：市场估计与预测：按部署划分，2021 年 - 2032 年

主要趋势
云
本地

第 7 章：市场估计与预测：依技术分类，2021 - 2032

主要趋势
生成对抗网路（GAN）
自动编码器
循环神经网路 (RNN)
变革模型
自然语言处理（NLP）
其他的

第 8 章：市场估计与预测：依应用分类，2021 - 2032

主要趋势
娱乐
全息术
虚拟实境（VR）
社群媒体
电子商务

第 9 章：市场估计与预测：依最终用途，2021 - 2032 年

主要趋势
内容创作者
社群媒体平台
企业
研究机构
政府

第 10 章：市场估计与预测：按地区，2021 - 2032

主要趋势
北美洲
- 我们
- 加拿大
欧洲
- 英国
- 德国
- 法国
- 西班牙
- 义大利
- 俄罗斯
- 北欧人
亚太地区
- 中国
- 印度
- 日本
- 韩国
- 澳新银行
- 东南亚
拉丁美洲
- 巴西
- 墨西哥
- 阿根廷
MEA
- 阿联酋
- 南非
- 沙乌地阿拉伯

第 11 章：公司简介

Attestiv
BioID
Canny AI
DeepBrain
DeepFaceLab
Deeptrace Labs
Duck Duck Goose
iDenfy
Kairos
Luka
Oz Forensics
Reality Defender
Reface
Resemble AI
Sensity AI
Sentinel
Synthesia
Truepic
Vimage
Wombo

简介目录

Product Code: 11947

The Global Deepfake AI Market, valued at USD 805.1 million in 2023, is expected to experience robust growth, with a projected CAGR of 26.3% from 2024 to 2032. This growth is largely driven by the increasing demand for personalized digital experiences, which is pushing innovation in synthetic media. Businesses are leveraging deepfake technology to create tailored content that engages users more effectively, leading to improved customer interaction and brand loyalty. Industries such as entertainment and marketing are at the forefront of this trend, utilizing deepfake-powered storytelling and interactive campaigns to capture attention and drive engagement. Ongoing developments in AI & ML are significantly enhancing the capabilities of synthetic media tools, resulting in more accurate and realistic deepfake content.

These innovations are expanding adoption across multiple sectors and encouraging increased investment in research and development. Enhanced algorithms not only improve the quality of generated content but also strengthen detection capabilities, addressing concerns over misinformation and fostering trust in digital media platforms. The deepfake AI market is segmented by solutions into software and services. In 2023, the software segment dominated the market with a 76% share and is projected to surpass USD 4.9 billion by 2032. The software sector is undergoing rapid development, focusing on user-friendly interfaces and advanced algorithms for generating and detecting deepfakes.

As concerns about misinformation grow, so does the demand for reliable detection software, further driving market growth. When looking at deployment, the market is categorized into cloud and on-premises solutions. In 2023, cloud-based solutions accounted for 68% of the market, with organizations favoring them for their scalability, flexibility, and cost-effectiveness. Cloud infrastructure allows businesses to generate and detect deepfakes more efficiently, with faster processing times and reduced maintenance costs.

Market Scope
Start Year	2023
Forecast Year	2024-2032
Start Value	$805.1 Million
Forecast Value	$6.22 Billion
CAGR	26.3%

The rise in remote work and the need for improved collaboration have also contributed to the increasing demand for cloud-based deepfake AI solutions, along with a stronger focus on data security. North America led the deepfake AI market in 2023, accounting for 42% of total revenue. The U.S. is a global leader in AI technology, driving investment in deepfake creation and detection. With rising concerns about misinformation and data security, the demand for effective detection tools is growing.

Additionally, regulatory frameworks are evolving to address ethical concerns and ensure the responsible use of deepfake technology, further influencing market dynamics.

Chapter 1 Methodology & Scope

1.1 Research design
- 1.1.1 Research approach
- 1.1.2 Data collection methods
1.2 Base estimates and calculations
- 1.2.1 Base year calculation
- 1.2.2 Key trends for market estimates
1.3 Forecast model
1.4 Primary research & validation
- 1.4.1 Primary sources
- 1.4.2 Data mining sources
1.5 Market definitions

Chapter 2 Executive Summary

2.1 Industry 360° synopsis, 2021 - 2032

Chapter 3 Industry Insights

3.1 Industry ecosystem analysis
3.2 Supplier landscape
- 3.2.1 Technology developers
- 3.2.2 Platform providers
- 3.2.3 Solution integrators
- 3.2.4 Distribution channels
- 3.2.5 End users
3.3 Profit margin analysis
3.4 Technology & innovation landscape
3.5 Key news & initiatives
3.6 Regulatory landscape
3.7 Price analysis
- 3.7.1 Subscription models
- 3.7.2 One-time purchase
- 3.7.3 Differentiators
3.8 Impact forces
- 3.8.1 Growth drivers
  - 3.8.1.1 Rising demand for personalized digital content
  - 3.8.1.2 Advancements in AI and machine learning algorithms
  - 3.8.1.3 Increasing need for deepfake detection solutions
  - 3.8.1.4 Widespread adoption in social media platforms
- 3.8.2 Industry pitfalls & challenges
  - 3.8.2.1 High risk of deepfake-enabled identity fraud
  - 3.8.2.2 Difficulty in detecting advanced deepfake technology
3.9 Growth potential analysis
3.10 Porter's analysis
3.11 PESTEL analysis

Chapter 4 Competitive Landscape, 2023

4.1 Introduction
4.2 Company market share analysis
4.3 Competitive positioning matrix
4.4 Strategic outlook matrix

Chapter 5 Market Estimates & Forecast, By Solution, 2021 - 2032 ($Bn)

5.1 Key trends
5.2 Software
- 5.2.1 Deepfake generation
- 5.2.2 Deepfake detection
- 5.2.3 Content moderation
5.3 Service
- 5.3.1 Professional
- 5.3.2 Managed

Chapter 6 Market Estimates & Forecast, By Deployment, 2021 - 2032 ($Bn)

6.1 Key trends
6.2 Cloud
6.3 On-premises

Chapter 7 Market Estimates & Forecast, By Technology, 2021 - 2032 ($Bn)

7.1 Key trends
7.2 Generative Adversarial Networks (GAN)
7.3 Auto encoders
7.4 Recurrent Neural Networks (RNNs)
7.5 Transformative models
7.6 Natural Language Processing (NLP)
7.7 Others

Chapter 8 Market Estimates & Forecast, By Application, 2021 - 2032 ($Bn)

8.1 Key trends
8.2 Entertainment
8.3 Holography
8.4 Virtual reality (VR)
8.5 Social media
8.6 E-commerce

Chapter 9 Market Estimates & Forecast, By End Use , 2021 - 2032 ($Bn)

9.1 Key trends
9.2 Content creators
9.3 Social media platforms
9.4 Enterprises
9.5 Research institutions
9.6 Governments

Chapter 10 Market Estimates & Forecast, By Region, 2021 - 2032 ($Bn)

10.1 Key trends
10.2 North America
- 10.2.1 U.S.
- 10.2.2 Canada
10.3 Europe
- 10.3.1 UK
- 10.3.2 Germany
- 10.3.3 France
- 10.3.4 Spain
- 10.3.5 Italy
- 10.3.6 Russia
- 10.3.7 Nordics
10.4 Asia Pacific
- 10.4.1 China
- 10.4.2 India
- 10.4.3 Japan
- 10.4.4 South Korea
- 10.4.5 ANZ
- 10.4.6 Southeast Asia
10.5 Latin America
- 10.5.1 Brazil
- 10.5.2 Mexico
- 10.5.3 Argentina
10.6 MEA
- 10.6.1 UAE
- 10.6.2 South Africa
- 10.6.3 Saudi Arabia