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深度造假AI市場至2030年的預測：按組件、類型、檢測方法、部署模式、技術、應用和地區的全球分析

Deepfake AI Market Forecasts to 2030 - Global Analysis By Component (Software and Service), Type, Detection Methods, Deployment Mode, Technology, Application 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，全球深度造假AI 市場規模預計在2024年達到 8.0761億美元，到2030年將達到 70.5208億美元，預測期內的年複合成長率為 43.5%。

深度造假 AI 是一個術語，用於描述使用人工智慧，特別是生成對抗網路（GAN）等深度學習技術來創建超現實的材料，包括照片、影片和音訊。 深度造假技術可以創造出看似真實但實際上完全是假的內容，經常允許人們傳播虛假訊息或冒充他人。 深度造假技術用於教育和娛樂，但它也引發了有關安全性、隱私性的道德問題，以及它被濫用於虛假宣傳活動和詐騙等邪惡活動的可能性。

人工智慧和機器學習的進步

機器學習和人工智慧的發展是推動深度造假人工智慧市場的主要因素，大幅提高了深度造假創作的效率、真實感和準確性。透過從大量資料中學習，自動編碼器和生成對抗網路（GAN）等技術使機器能夠製作出令人驚嘆的逼真的照片、影片和音訊。由於這些演算法善於與現實世界的資訊融合， 深度造假在行銷、娛樂和虛擬體驗等行業越來越受歡迎。此外，機器學習模型也不斷改進，使得更容易準確地模仿人類的特徵和行為。

隱私和安全風險

深度造假人工智慧業務帶來了嚴重的隱私和安全問題，因為該技術可用於創建模仿人的聲音、外表或行為的虛假內容。敵對行為者可能將深度造假用於各種有害目的，導致身分竊盜、金融詐騙和聲譽損害。此外，深度造假技術允許在未經個人許可的情況下使用個人肖像，使個人隱私面臨風險。隨著深度造假變得越來越逼真，它們也帶來了巨大的安全風險，因為它們增加了操縱、勒索和虛假資訊的可能性。鑑於這種日益嚴重的威脅，我們需要採取強力的措施來保護人們的身分和資料，包括深度造假檢測系統、法律保障和隱私立法。

虛擬實境（VR）和遊戲領域的應用不斷擴大

Deepfake 技術允許開發人員透過使用逼真的面部表情、手勢和聲音增強化身和角色模型來創建高度逼真和身臨其境的虛擬環境。這項技術可以使角色更像現實生活中的人物或創造全新的虛擬角色，實現更個人化的遊戲體驗。在 VR 應用中， 深度造假可用於模擬真實場景，例如訓練環境或互動式模擬。隨著對逼真和互動式虛擬世界的需求不斷成長，將深度造假AI 融入 VR 和遊戲中為提高用戶參與度和創造下一代體驗提供了令人興奮的機會。

消費者風險意識有限

很多人並沒有意識到深度造假可能帶來的風險，包括身分盜竊、虛假資訊和操縱。客戶可能沒有完全意識到深度造假技術能夠創造出極其逼真但完全虛假的材料，對隱私和安全造成嚴重威脅。這種無知可能會導致假訊息在無意中傳播，損害人們的聲譽，影響輿論，甚至影響選舉。為了降低深度造假帶來的風險，必須教育公眾如何識別虛假媒體、其潛在的道德影響以及明智使用該技術的價值。

COVID-19 的影響

COVID-19 疫情對深度造假AI 市場產生了多種影響。一方面，對數位媒體和遠端通訊的依賴日益增加，加速了人工智慧主導的內容創作（包括深度造假）在虛擬會議、娛樂和教育中的應用。另一方面，人們對錯誤訊息傳播的擔憂，尤其是疫情期間的假新聞，提高了人們對深度造假技術潛在風險的認知。這導致人們更加關注開發深度造假檢測工具和建立道德準則。

預計預測期內軟體區隔將成為最大的。

預計預測期內軟體區隔將佔據最大的市場佔有率。人工智慧深度造假軟體使用生成對抗網路（GAN）和機器學習等技術輕鬆創建高度逼真的假圖像、影片和音訊。專業人士和消費者越來越容易獲得這些工具，使內容創作者、負責人和娛樂產業能夠創造身臨其境的體驗。隨著軟體變得越來越複雜和方便用戶使用，它在媒體、廣告和遊戲等領域的廣泛應用將繼續推動深度造假人工智慧市場的成長。

預計網路安全領域將在預測期內實現最高的年複合成長率。

由於深度造假技術的興起對數位安全構成了重大威脅，預計網路安全領域將在預測期內見證最高成長率。 深度造假可用於冒充、詐騙和社交工程攻擊，因此強力的網路安全措施非常重要。隨著深度造假變得越來越令人信服，公司、政府和個人都在投資人工智慧主導的深度造假工具來識別和防止其被惡意使用。對此類安全解決方案的日益成長的需求推動了深度造假檢測技術的發展並促進了網路安全領域的市場發展。

佔有率最大的地區

在預測期內，由於技術的快速進步、數位內容消費的增加以及各行業對人工智慧的應用不斷增加，預計亞太地區將佔據最大的市場佔有率。中國、日本、韓國等國在人工智慧研究方面處於領先地位，並加速開發深度造假技術。此外，該地區遊戲、娛樂和媒體領域的興起也推動了對身臨其境型內容的需求。此外，對網路安全解決方案的需求日益成長，以應對深度造假的風險，推動了該地區市場的成長。

年複合成長率最高的地區

在預測期內，北美地區預計將呈現最高的年複合成長率，這得益於人工智慧和機器學習技術的進步，尤其是在美國和加拿大。該地區在娛樂、媒體和遊戲產業中佔有重要地位，推動了對沉浸式數位內容和虛擬體驗的需求。此外，深度造假人工智慧在廣告、虛擬影響者和教育領域的應用日益增多，也推動了市場的成長。該地區也大力投資網路安全解決方案，以檢測和打擊深度造假的威脅，進一步刺激相關技術的創新和採用。

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訂閱此報告的客戶可享有以下免費自訂選項之1：

  • 公司簡介
    • 對其他市場參與企業（最多3家公司）進行全面分析
    • 主要企業的SWOT 分析（最多3家公司）
  • 地理細分
    • 根據客戶興趣對主要國家進行市場估計、預測和年複合成長率（註：基於可行性檢查）
  • 競爭性基準化分析
    • 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
  • 研究範圍
  • 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
    • 二手研究資料資訊來源
    • 先決條件

第3章 市場走勢分析

  • 介紹
  • 促進因素
  • 限制因素
  • 機會
  • 威脅
  • 技術分析
  • 應用分析
  • 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
  • 買家的議價能力
  • 替代品的威脅
  • 新進入者的威脅
  • 競爭敵對

第5章 全球深度造假 AI 市場（依組件）

  • 介紹
  • 軟體
  • 服務

第6章 全球深度造假 AI 市場（依類型）

  • 介紹
  • 圖片深度造假
  • 音訊深度造假
  • 影片深度造假
  • 文字深度造假

第7章 全球深度造假 AI 市場（依檢測方法）

  • 介紹
  • 深度造假檢測解決方案
  • 基於區塊鏈的解決方案

第8章 全球深度造假 AI 市場（依部署模式）

  • 介紹
  • 雲端基礎
  • 本地

第9章 全球深度造假 AI 市場（依技術）

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

第10章 全球深度造假 AI 市場（依應用）

  • 介紹
  • 社群媒體
  • 娛樂和媒體
  • 網路安全
  • 行銷和廣告
  • 醫療
  • 電子商務
  • 其他

第11章 全球深度造假 AI 市場（依地區）

  • 介紹
  • 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
    • 歐洲其他地區
  • 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
  • 中東和非洲
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 卡達
    • 南非
    • 其他中東和非洲地區

第12章 重大進展

  • 協議、夥伴關係、合作和合資企業
  • 收購與合併
  • 新產品發布
  • 業務擴展
  • 其他關鍵策略

第13章 公司概況

  • Attestiv Inc.
  • Amazon Web Services
  • Deepware AS
  • D-ID
  • Google LLC
  • iDenfyTM
  • Intel Corporation
  • Kairos AR, Inc.
  • Microsoft
  • Oz Forensics
  • Reality Defender Inc.
  • Resemble AI
  • Sensity AI
  • Truepic
  • WeVerify
Product Code: SMRC28502

According to Stratistics MRC, the Global Deepfake AI Market is accounted for $807.61 million in 2024 and is expected to reach $7052.08 million by 2030 growing at a CAGR of 43.5% during the forecast period. Deepfake AI is the term used to describe the creation of hyper-realistic manipulated material, such as photos, movies, and audio, using artificial intelligence, specifically deep learning methods like Generative Adversarial Networks (GANs). It makes possible to create content that looks real but is completely fake, frequently to distribute false information or impersonate someone. Although deepfake technology has uses in education and entertainment, it also brings up moral questions about security, privacy, and the possibility of abuse in nefarious endeavors like disinformation campaigns and fraud.

Market Dynamics:

Driver:

Advancements in AI and machine learning

Machine learning and artificial intelligence developments are major factors propelling the deepfake AI market, greatly improving the efficiency, realism, and accuracy of deepfake production. By learning from enormous volumes of data, technologies such as auto encoders and Generative Adversarial Networks (GANs) allow machines to produce incredibly realistic photos, movies, and audio. Deepfakes are being used more and more in industries like marketing, entertainment, and virtual experiences as these algorithms get better at blending in with real information. Furthermore, machine learning models are always improving, making it easier for them to accurately mimic human characteristics and behavior.

Restraint:

Privacy and security risks

The deepfake AI business presents serious privacy and security issues since the technology may be used to create fake content that replicates a person's voice, look, or behavior. As a result of hostile actors using deepfakes for a variety of detrimental objectives, this can result in identity theft, financial fraud, and reputational injury. Furthermore, deepfake technology makes it possible for someone's likeness to be used without permission, endangering personal privacy. Deepfakes provide significant security risks as they get more realistic because of the increased potential for manipulation, extortion, and false information. Strong countermeasures, including deepfake detection systems, legal safeguards, and privacy legislation, are required in light of this expanding threat in order to protect people's identities and data.

Opportunity:

Increased adoption in virtual reality (VR) and gaming

Deepfake technology allows developers to create highly realistic and immersive virtual environments by enhancing avatars and character models with lifelike facial expressions, gestures, and voices. This technology enables a more personalized gaming experience by tailoring characters to resemble real-life individuals or creating entirely new virtual personas. In VR applications, deepfakes can be used to simulate realistic scenarios, such as training environments or interactive simulations. As the demand for realistic and interactive virtual worlds grows, the integration of deepfake AI into VR and gaming offers exciting opportunities for enhancing user engagement and creating next-generation experiences.

Threat:

Limited consumer awareness of risks

The possible risks of deepfakes, including identity theft, disinformation, and manipulation, are not well known to many people. Customers could fail to be fully aware of the serious privacy and security threats posed by deepfake technology's capacity to produce incredibly realistic but wholly fake material. This ignorance can result in the inadvertent dissemination of false information, harming people's reputations, affecting public opinion, or even influencing elections. In order to reduce the risks posed by deepfakes, it is imperative that the public be educated on how to spot fake media, its possible ethical ramifications, and the value of employing technology sensibly.

Covid-19 Impact

The COVID-19 pandemic had a mixed impact on the deepfake AI market. On one hand, the increased reliance on digital media and remote communication accelerated the use of AI-driven content creation, including deepfakes, for virtual meetings, entertainment, and education. On the other hand, concerns about misinformation, particularly regarding the spread of fake news during the pandemic, raised awareness about the potential risks of deepfake technology. This led to a greater focus on developing deepfake detection tools and establishing ethical guidelines.

The software segment is expected to be the largest during the forecast period

The software segment is expected to account for the largest market share during the forecast period. AI-powered deepfake software, leveraging technologies like Generative Adversarial Networks (GANs) and machine learning, enables the creation of highly realistic fake images, videos, and audio with ease. These tools are increasingly accessible to both professionals and consumers, enabling content creators, marketers, and entertainment industries to produce immersive experiences. As software becomes more sophisticated and user-friendly, its widespread adoption across sectors like media, advertising, and gaming continues to fuel the growth of the deepfake AI market.

The cybersecurity segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the cybersecurity segment is predicted to witness the highest growth rate, as the rise of deepfake technology poses significant threats to digital security. Deepfakes can be used for identity theft, fraud, and social engineering attacks, making robust cybersecurity measures essential. As deepfakes become more convincing, businesses, governments, and individuals are investing in AI-driven detection tools to identify and prevent malicious use of deepfakes. This growing need for security solutions fuels the development of deepfake detection technologies and promotes market growth in the cybersecurity sector.

Region with largest share:

During the forecast period, Asia Pacific region is expected to hold the largest market share, fuelled by, rapid technological advancements, growing digital content consumption, and increasing adoption of AI across various industries. Countries like China, Japan, and South Korea are leading in AI research, which accelerates the development of deepfake technology. Additionally, the rise of gaming, entertainment, and media sectors in the region boosts the demand for immersive content. Furthermore, the growing need for cybersecurity solutions to combat the risks of deepfakes is propelling market growth in the region.

Region with highest CAGR:

During the forecast period, the North America region is anticipated to exhibit the highest CAGR, driven by advancements in AI and machine learning technologies, particularly in the United States and Canada. The region's strong presence in the entertainment, media, and gaming industries fuels the demand for realistic digital content and virtual experiences. Additionally, the increasing use of deepfake AI in advertising, virtual influencers, and education accelerates market growth. The region also invests heavily in cybersecurity solutions to detect and counter deepfake threats, further driving innovation and adoption of related technologies.

Key players in the market

Some of the key players profiled in the Deepfake AI Market include Attestiv Inc., Amazon Web Services, Deepware A.S., D-ID, Google LLC, iDenfyTM, Intel Corporation, Kairos AR, Inc., Microsoft, Oz Forensics, Reality Defender Inc., Resemble AI, Sensity AI, Truepic, and WeVerify,

Key Developments:

In April 2024, Microsoft showcased its latest AI model, VASA-1, which can generate lifelike talking, faces from a single static image and an audio clip. This model is designed to exhibit appealing visual affective skills (VAS), enhancing the realism of digital avatars.

In March 2024, BiolD launched an updated version of its deepfake detection software, focusing on securing biometric authentication and digital identity verification. This software is designed to prevent identity spoofing by detecting manipulated images and videos and providing real-time analysis and feedback.

In January 2024, In May 2024, Google LLC introduced a new feature in its SynthID tool that allows for the labeling of AI-generated text without altering the content itself. This enhancement builds on SynthID's existing capabilities to identify AI-generated images and audio clips, now incorporating additional information into the large language model (LLM) during text generation.

Components Covered:

  • Software
  • Service

Types Covered:

  • Image Deepfake
  • Audio Deepfake
  • Video Deepfake
  • Text Deepfakes

Detection Methods Covered:

  • Deepfake Detection Solutions
  • Blockchain-Based Solutions

Deployment Modes Covered:

  • Cloud-Based
  • On-Premise

Technologies Covered:

  • Generative Adversarial Networks (GANs)
  • Auto encoders
  • Recurrent Neural Networks (RNNs)
  • Transformative Models
  • Natural Language Processing (NLP)
  • Diffusion Models
  • Other Technologies

Applications Covered:

  • Social Media
  • Entertainment & Media
  • Cyber security
  • Marketing & Advertising
  • Healthcare
  • E- Commerce
  • Other Applications

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 Emerging Markets
  • 3.9 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 AI Market, By Component

  • 5.1 Introduction
  • 5.2 Software
  • 5.3 Service

6 Global Deepfake AI Market, By Type

  • 6.1 Introduction
  • 6.2 Image Deepfake
  • 6.3 Audio Deepfake
  • 6.4 Video Deepfake
  • 6.5 Text Deepfakes

7 Global Deepfake AI Market, By Detection Methods

  • 7.1 Introduction
  • 7.2 Deepfake Detection Solutions
  • 7.3 Blockchain-Based Solutions

8 Global Deepfake AI Market, By Deployment Mode

  • 8.1 Introduction
  • 8.2 Cloud-Based
  • 8.3 On-Premise

9 Global Deepfake AI Market, By Technology

  • 9.1 Introduction
  • 9.2 Generative Adversarial Networks (GANs)
  • 9.3 Autoencoders
  • 9.4 Recurrent Neural Networks (RNNs)
  • 9.5 Transformative Models
  • 9.6 Natural Language Processing (NLP)
  • 9.7 Diffusion Models
  • 9.8 Other Technologies

10 Global Deepfake AI Market, By Application

  • 10.1 Introduction
  • 10.2 Social Media
  • 10.3 Entertainment & Media
  • 10.4 Cybersecurity
  • 10.5 Marketing & Advertising
  • 10.6 Healthcare
  • 10.7 E- Commerce
  • 10.8 Other Applications

11 Global Deepfake AI Market, By Geography

  • 11.1 Introduction
  • 11.2 North America
    • 11.2.1 US
    • 11.2.2 Canada
    • 11.2.3 Mexico
  • 11.3 Europe
    • 11.3.1 Germany
    • 11.3.2 UK
    • 11.3.3 Italy
    • 11.3.4 France
    • 11.3.5 Spain
    • 11.3.6 Rest of Europe
  • 11.4 Asia Pacific
    • 11.4.1 Japan
    • 11.4.2 China
    • 11.4.3 India
    • 11.4.4 Australia
    • 11.4.5 New Zealand
    • 11.4.6 South Korea
    • 11.4.7 Rest of Asia Pacific
  • 11.5 South America
    • 11.5.1 Argentina
    • 11.5.2 Brazil
    • 11.5.3 Chile
    • 11.5.4 Rest of South America
  • 11.6 Middle East & Africa
    • 11.6.1 Saudi Arabia
    • 11.6.2 UAE
    • 11.6.3 Qatar
    • 11.6.4 South Africa
    • 11.6.5 Rest of Middle East & Africa

12 Key Developments

  • 12.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 12.2 Acquisitions & Mergers
  • 12.3 New Product Launch
  • 12.4 Expansions
  • 12.5 Other Key Strategies

13 Company Profiling

  • 13.1 Attestiv Inc.
  • 13.2 Amazon Web Services
  • 13.3 Deepware A.S.
  • 13.4 D-ID
  • 13.5 Google LLC
  • 13.6 iDenfyTM
  • 13.7 Intel Corporation
  • 13.8 Kairos AR, Inc.
  • 13.9 Microsoft
  • 13.10 Oz Forensics
  • 13.11 Reality Defender Inc.
  • 13.12 Resemble AI
  • 13.13 Sensity AI
  • 13.14 Truepic
  • 13.15 WeVerify

List of Tables

  • Table 1 Global Deepfake AI Market Outlook, By Region (2022-2030) ($MN)
  • Table 2 Global Deepfake AI Market Outlook, By Component (2022-2030) ($MN)
  • Table 3 Global Deepfake AI Market Outlook, By Software (2022-2030) ($MN)
  • Table 4 Global Deepfake AI Market Outlook, By Service (2022-2030) ($MN)
  • Table 5 Global Deepfake AI Market Outlook, By Type (2022-2030) ($MN)
  • Table 6 Global Deepfake AI Market Outlook, By Image Deepfake (2022-2030) ($MN)
  • Table 7 Global Deepfake AI Market Outlook, By Audio Deepfake (2022-2030) ($MN)
  • Table 8 Global Deepfake AI Market Outlook, By Video Deepfake (2022-2030) ($MN)
  • Table 9 Global Deepfake AI Market Outlook, By Text Deepfakes (2022-2030) ($MN)
  • Table 10 Global Deepfake AI Market Outlook, By Detection Methods (2022-2030) ($MN)
  • Table 11 Global Deepfake AI Market Outlook, By Deepfake Detection Solutions (2022-2030) ($MN)
  • Table 12 Global Deepfake AI Market Outlook, By Blockchain-Based Solutions (2022-2030) ($MN)
  • Table 13 Global Deepfake AI Market Outlook, By Deployment Mode (2022-2030) ($MN)
  • Table 14 Global Deepfake AI Market Outlook, By Cloud-Based (2022-2030) ($MN)
  • Table 15 Global Deepfake AI Market Outlook, By On-Premise (2022-2030) ($MN)
  • Table 16 Global Deepfake AI Market Outlook, By Technology (2022-2030) ($MN)
  • Table 17 Global Deepfake AI Market Outlook, By Generative Adversarial Networks (GANs) (2022-2030) ($MN)
  • Table 18 Global Deepfake AI Market Outlook, By Autoencoders (2022-2030) ($MN)
  • Table 19 Global Deepfake AI Market Outlook, By Recurrent Neural Networks (RNNs) (2022-2030) ($MN)
  • Table 20 Global Deepfake AI Market Outlook, By Transformative Models (2022-2030) ($MN)
  • Table 21 Global Deepfake AI Market Outlook, By Natural Language Processing (NLP) (2022-2030) ($MN)
  • Table 22 Global Deepfake AI Market Outlook, By Diffusion Models (2022-2030) ($MN)
  • Table 23 Global Deepfake AI Market Outlook, By Other Technologies (2022-2030) ($MN)
  • Table 24 Global Deepfake AI Market Outlook, By Application (2022-2030) ($MN)
  • Table 25 Global Deepfake AI Market Outlook, By Social Media (2022-2030) ($MN)
  • Table 26 Global Deepfake AI Market Outlook, By Entertainment & Media (2022-2030) ($MN)
  • Table 27 Global Deepfake AI Market Outlook, By Cybersecurity (2022-2030) ($MN)
  • Table 28 Global Deepfake AI Market Outlook, By Marketing & Advertising (2022-2030) ($MN)
  • Table 29 Global Deepfake AI Market Outlook, By Healthcare (2022-2030) ($MN)
  • Table 30 Global Deepfake AI Market Outlook, By E- Commerce (2022-2030) ($MN)
  • Table 31 Global Deepfake AI Market Outlook, By Other Applications (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.