딥페이크 AI 시장 규모, 점유율, 성장 분석, 제공 제품별, 기술별, 업계별, 지역별 - 산업 예측(2025-2032년)
Deepfake AI Market Size, Share, and Growth Analysis, By Offering (Type, Deployment Mode), By Technology (Generative Adversarial Networks (GANS), Autoencoders), By Vertical, By Region - Industry Forecast 2025-2032
상품코드:1758706
리서치사:SkyQuest Technology Consulting Pvt. Ltd.
발행일:2025년 06월
페이지 정보:영문 198 Pages
라이선스 & 가격 (부가세 별도)
한글목차
딥페이크 AI 세계 시장 규모는 2023년에 5억 6,000만 달러, 2024년 7억 9,576만 달러에서 2032년까지는 132억 2,923만 달러로 성장하고, 예측 기간(2025년-2032년) CAGR은 42.1%를 보일 전망입니다.
딥페이크 AI 산업은 지난 10년간 큰 진전을 이루며 놀라운 비즈니스 기회와 큰 위험을 동시에 가져왔습니다. 엔터테인먼트 분야에서는 배우를 젊어지게 하거나 디지털 아바타를 만들어 저비용으로 컨텐츠 제작을 강화하는 용도로 사용되고 있으며, Synthesia와 같은 회사는 많은 투자를 유치하고 있어 시장의 강한 신뢰를 보여주고 있습니다. 그러나 이러한 기술 혁신은 FBI가 지적한 AI 관련 사기 사건이 55% 증가했다는 보고에서 알 수 있듯이, 오보와 개인정보 도용에 대한 심각한 우려를 불러일으키고 있습니다. 중국의 새로운 표시 요건 등 세계 규제 당국이 리스크 완화를 위한 감시를 강화하는 가운데, 업계는 사이버 보안 및 윤리적 딜레마에 대한 문제에 직면하고 있으며, 이는 성장 잠재력을 저해할 수 있습니다. 딥페이크 감지 솔루션에 대한 수요도 급증하고 있으며, 강력한 거버넌스 프로토콜이 요구되고 있습니다.
목차
서론
조사 목적
조사 범위
정의
조사 방법
정보 조달
2차와 1차 데이터 방법
시장 규모 예측
시장 전제조건과 제한
주요 요약
세계 시장 전망
공급과 수요 동향 분석
부문별 기회 분석
시장 역학과 전망
시장 개요
시장 규모
시장 역학
성장 촉진요인과 기회
성장 억제요인과 과제
Porter의 Five Forces 분석
주요 시장 인사이트
주요 성공 요인
경쟁 정도
주요 투자 기회
시장 생태계
시장의 매력 지수(2024년)
PESTEL 분석
거시경제 지표
밸류체인 분석
가격 분석
기술 분석
사례 연구
딥페이크 AI 시장 규모 : 제공 제품별·CAGR(2025년-2032년)
시장 개요
유형
딥페이크 생성 소프트웨어
딥페이크 감지 및 인증 소프트웨어
콘텐츠 현대화 소프트웨어
전개 모드
클라우드
On-Premise
서비스
전문 서비스
트레이닝 및 컨설팅 서비스
시스템 통합 및 구현 서비스
지원 및 유지관리 서비스
매니지드 서비스
딥페이크 AI 시장 규모 : 기술별·CAGR(2025년-2032년)
시장 개요
생성적 적대 네트워크(GANS)
Standard Gan-Based Deepfake Technology
Progressive Growing Gans
Conditional Gans
오토인코더
Variational Autoencoders (VAES)
Audio Autoencoders
Text-To-Image Autoencoders
Recurrent Neural Networks (RNNS)
Long Short-Term Memory (LSTM) RNN
Gated Recurrent Units (GRUS)
확산 모델
선형 확산 모델
비선형 확산 모델
이산 확산 모델
상용 확산 모델
트랜스포머 모델
트랜스포머 기반 딥페이크 기술
텍스트 기반 딥페이크용 Bert
텍스트와 음성 기반 딥페이크용 GPT
자연언어처리(NLP)
언어 모델
감정 분석
저자 확인
기타 기술
딥페이크 AI 시장 규모 : 업계별·CAGR(2025년-2032년)
시장 개요
은행, 금융서비스 및 보안(BFSI)
통신
정부 및 방위
헬스케어 및 생명과학
법률
미디어 및 엔터테인먼트
소매 및 E-Commerce
기타 업계
딥페이크 AI 시장 규모·CAGR(2025년-2032년)
북미
미국
캐나다
유럽
독일
스페인
프랑스
영국
이탈리아
기타 유럽
아시아태평양
중국
인도
일본
한국
기타 아시아태평양
라틴아메리카
브라질
기타 라틴아메리카
중동 및 아프리카
GCC 국가
남아프리카
기타 중동 및 아프리카
경쟁 정보
주요 5개사 비교
주요 기업의 시장 포지셔닝(2024년)
주요 시장 기업이 채택한 전략
최근 시장 동향
기업의 시장 점유율 분석(2024년)
주요 기업 개요
기업 상세
제품 포트폴리오 분석
기업 부문별 점유율 분석
매출 전년대비 비교(2022년-2024년)
주요 기업 개요
Datambit
Microsoft
AWS
Google
Intel
Veritone
Bioid
Duckduckgoose AI
Synthesia
Sentinel
Paravision
Iproov
D-ID
Reface
Validsoft
Myheritage
Blackbird.AI
Hyperverge
Pindrop
Deepware
결론과 제안
LSH
영문 목차
영문목차
Global Deepfake AI Market size was valued at USD 560.0 million in 2023 and is poised to grow from USD 795.76 million in 2024 to USD 13229.23 million by 2032, growing at a CAGR of 42.1% during the forecast period (2025-2032).
The Deepfake AI industry has experienced significant advancements over the last decade, presenting both remarkable opportunities and considerable risks. It has found applications in domains such as entertainment, where it's used to de-age actors or create digital avatars, enhancing content creation at lower costs. Companies like Synthesia are attracting substantial investment, highlighting strong market confidence. However, this innovation raises serious concerns about misinformation and identity theft, as evidenced by a reported 55% increase in AI-related fraud cases noted by the FBI. As regulators globally, including China's new labeling requirements, intensify scrutiny to mitigate risks, the industry faces challenges related to cybersecurity and ethical dilemmas that may hinder its growth potential. The demand for deepfake detection solutions is also surging, necessitating robust governance protocols.
Top-down and bottom-up approaches were used to estimate and validate the size of the Global Deepfake AI market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.
Global Deepfake AI Market Segments Analysis
Global Deepfake AI Market is segmented by Offering, Technology, VERTICAL and region. Based on Offering, the market is segmented into Type, Deployment Mode and Services. Based on Technology, the market is segmented into Generative Adversarial Networks (GANS), Autoencoders, Recurrent Neural Networks (RNNS), Diffusion Models, Transformer Models, Natural Language Processing (NLP) and Other Technologies. Based on VERTICAL, the market is segmented into BFSI, Telecommunications, Government & Defense, Healthcare & Life Sciences, Legal, Media & Entertainment, Retail & E-Commerce and Other Verticals. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa.
Driver of the Global Deepfake AI Market
The Global Deepfake AI market is being propelled by the swift advancements in Generative Adversarial Networks (GANs), which have markedly improved the realism and quality of deepfake content, particularly in the media and entertainment sectors. A 2023 article from MIT Technology Review highlights that GAN-based models have achieved a 40% reduction in training times while enhancing video fidelity by 35%. Notably, companies such as Synthesia in the UK have witnessed a 2.5-fold increase in demand for AI-generated videos in 2023, thanks to GANs that adeptly replicate real-life expressions with remarkable precision, driving widespread adoption and innovation in the industry.
Restraints in the Global Deepfake AI Market
The Global Deepfake AI market faces significant challenges due to the increasing misuse of this technology in various unethical practices, such as misinformation, political manipulation, and cybercrimes, which have attracted heightened regulatory attention. As highlighted in the FBI's 2023 Public Service Announcement, deepfake-related scams resulted in more than $12 million in financial fraud in the United States during the same year. Additionally, in 2024, Meta took action by removing over 2,000 deepfake videos associated with misinformation initiatives. These ethical dilemmas present substantial barriers to widespread adoption, particularly in critical sectors like finance, governance, and journalism, where the demand for authenticity is paramount.
Market Trends of the Global Deepfake AI Market
The Global Deepfake AI market is witnessing a significant trend towards the development and deployment of enterprise-grade deepfake detection tools, driven by the rising threat of cyberattacks exploiting synthetic media. As companies recognize the critical need for robust security solutions, demand is surging for advanced detection technologies. Innovations such as Microsoft's Video Authenticator and Intel's FakeCatcher are at the forefront, offering sophisticated analysis and impressive accuracy rates that are being adopted across various sectors, including law enforcement and banking. This shift underscores a growing awareness of deepfake risks and a proactive approach to mitigating their impact in business operations and digital communications.
Table of Contents
Introduction
Objectives of the Study
Scope of the Report
Definitions
Research Methodology
Information Procurement
Secondary & Primary Data Methods
Market Size Estimation
Market Assumptions & Limitations
Executive Summary
Global Market Outlook
Supply & Demand Trend Analysis
Segmental Opportunity Analysis
Market Dynamics & Outlook
Market Overview
Market Size
Market Dynamics
Drivers & Opportunities
Restraints & Challenges
Porters Analysis
Competitive rivalry
Threat of substitute
Bargaining power of buyers
Threat of new entrants
Bargaining power of suppliers
Key Market Insights
Key Success Factors
Degree of Competition
Top Investment Pockets
Market Ecosystem
Market Attractiveness Index, 2024
PESTEL Analysis
Macro-Economic Indicators
Value Chain Analysis
Pricing Analysis
Technology Analysis
Case Studies
Global Deepfake AI Market Size by Offering & CAGR (2025-2032)
Market Overview
Type
Deepfake Generation Software
Deepfake Detection & Authentication Software
Content Moderation Software
Deployment Mode
Cloud
On-Premises
Services
Professional Services
Training & Consulting Services
System Integration & Implementation Services
Support & Maintenance Services
Managed Services
Global Deepfake AI Market Size by Technology & CAGR (2025-2032)
Market Overview
Generative Adversarial Networks (GANS)
Standard Gan-Based Deepfake Technology
Progressive Growing Gans
Conditional Gans
Autoencoders
Variational Autoencoders (VAES)
Audio Autoencoders
Text-To-Image Autoencoders
Recurrent Neural Networks (RNNS)
Long Short-Term Memory (LSTM) RNN
Gated Recurrent Units (GRUS)
Diffusion Models
Linear Diffusion Models
Non-Linear Diffusion Models
Discrete Diffusion Models
Continuous Diffusion Models
Transformer Models
Transformer-Based Deepfake Technology
Bert For Text-Based Deepfakes
GPT For Text & Audio-Based Deepfakes
Natural Language Processing (NLP)
Language Models
Sentiment Analysis
Authorship Verification
Other Technologies
Global Deepfake AI Market Size by VERTICAL & CAGR (2025-2032)
Market Overview
BFSI
Telecommunications
Government & Defense
Healthcare & Life Sciences
Legal
Media & Entertainment
Retail & E-Commerce
Other Verticals
Global Deepfake AI Market Size & CAGR (2025-2032)
North America (Offering, Technology, VERTICAL)
US
Canada
Europe (Offering, Technology, VERTICAL)
Germany
Spain
France
UK
Italy
Rest of Europe
Asia Pacific (Offering, Technology, VERTICAL)
China
India
Japan
South Korea
Rest of Asia-Pacific
Latin America (Offering, Technology, VERTICAL)
Brazil
Rest of Latin America
Middle East & Africa (Offering, Technology, VERTICAL)
