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市場調查報告書

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1621909

Deepfake AI 市場機會、成長動力、產業趨勢分析及 2024 - 2032 年預測

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個工作天內

價格

簡介目錄

到2023 年，全球Deepfake 人工智慧市場價值將達到8.051 億美元，預計將經歷強勁成長，預計2024 年至2032 年複合年成長率為26.3%。成長而推動的。企業正在利用 Deepfake 技術創建客製化內容，更有效地吸引用戶，從而提高客戶互動和品牌忠誠度。娛樂和行銷等行業處於這一趨勢的最前沿，利用深度偽造技術講述故事和互動活動來吸引注意力並提高參與度。人工智慧和機器學習的持續發展顯著增強了合成媒體工具的功能，從而產生更準確、更真實的深度偽造內容。

這些創新正在擴大多個領域的採用，並鼓勵增加研發投資。增強的演算法不僅可以提高生成內容的質量，還可以增強檢測能力，解決對錯誤訊息的擔憂並增強對數位媒體平台的信任。 Deepfake 人工智慧市場依解決方案分為軟體和服務。 2023 年，軟體領域以 76% 的佔有率佔據市場主導地位，預計到 2032 年將超過 49 億美元。

隨著對錯誤訊息的擔憂不斷增加，對可靠檢測軟體的需求也在增加，進一步推動了市場成長。在考慮部署時，市場分為雲端解決方案和本地解決方案。 2023 年，基於雲端的解決方案佔據 68% 的市場佔有率，組織因其可擴展性、靈活性和成本效益而青睞它們。雲端基礎設施使企業能夠更有效地產生和偵測深度偽造品，並縮短處理時間並降低維護成本。

市場範圍
開始年份	2023年
預測年份	2024-2032
起始值	8.051 億美元
預測值	62.2 億美元
複合年成長率	26.3%

遠距工作的興起和改進協作的需求也推動了對基於雲端的 Deepfake AI 解決方案的需求不斷成長，以及對資料安全的更加關注。北美在 2023 年引領 Deepfake AI 市場，佔總營收的 42%。美國是人工智慧技術的全球領導者，推動了對深度造假和檢測的投資。隨著人們對錯誤訊息和資料安全的擔憂日益增加，對有效檢測工具的需求也不斷成長。

此外，監管框架正在不斷發展，以解決道德問題並確保負責任地使用深度造假技術，進一步影響市場動態。

產業生態系統分析
供應商格局
- 技術開發商
- 平台提供者
- 解決方案整合商
- 分銷管道
- 最終用戶
利潤率分析
技術與創新格局
重要新聞和舉措
監管環境
價格分析
- 訂閱模式
- 一次性購買
- 差異化因素
衝擊力
- 成長動力
  - 對個人化數位內容的需求不斷成長
  - 人工智慧和機器學習演算法的進步
  - 對 Deepfake 檢測解決方案的需求不斷增加
  - 社群媒體平台的廣泛採用
- 產業陷阱與挑戰
  - Deepfake 身份詐欺的高風險
  - 偵測先進的 Deepfake 技術有困難
成長潛力分析
波特的分析
PESTEL分析

第 4 章：競爭格局

介紹
公司市佔率分析
競爭定位矩陣
戰略展望矩陣

第 5 章：市場估計與預測：按解決方案，2021 - 2032 年

主要趨勢
軟體
- Deepfake一代
- 深度換臉偵測
- 內容審核
服務
- 專業的
- 託管

第 6 章：市場估計與預測：按部署分類，2021 年 - 2032 年

主要趨勢
雲
本地

第 7 章：市場估計與預測：依技術分類，2021 - 2032

主要趨勢
生成對抗網路（GAN）
自動編碼器
循環神經網路 (RNN)
變革模型
自然語言處理（NLP）
其他

第 8 章：市場估計與預測：依應用分類，2021 - 2032

主要趨勢
娛樂
全像術
虛擬實境（VR）
社群媒體
電子商務

第 9 章：市場估計與預測：依最終用途，2021 - 2032 年

主要趨勢
內容創作者
社群媒體平台
企業
研究機構
政府

第 10 章：市場估計與預測：按地區，2021 - 2032

主要趨勢
北美洲
- 美國
- 加拿大
歐洲
- 英國
- 德國
- 法國
- 西班牙
- 義大利
- 俄羅斯
- 北歐人
亞太地區
- 中國
- 印度
- 日本
- 韓國
- 澳新銀行
- 東南亞
拉丁美洲
- 巴西
- 墨西哥
- 阿根廷
MEA
- 阿拉伯聯合大公國
- 南非
- 沙烏地阿拉伯

第 11 章：公司簡介

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

簡介目錄

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