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한글목차
딥페이크 AI 시장 규모는 향후 수년간 비약적인 성장이 예상되며, 2029년에는 25.9%의 연평균 복합 성장률(CAGR)로 25억 9,000만 달러에 달할 것으로 예상됩니다. 예측 기간의 성장은 광고 효과에 대한 영향, 스포츠 분석에 대한 적용, 현실적인 가상 비서 수요, 합성 데이터 생성에 대한 수요, 사이버 보안 및 사기 감지에 대한 적용에 기인하는 것으로 추정됩니다. 예측 기간의 주요 동향으로는 계산 사진의 발전, 스마트 시티 구상과의 통합, 개인화된 게임 경험, 다른 AI 기술과의 기술 융합, 음성 복제의 발전 등을 꼽을 수 있습니다.
딥페이크 AI 시장의 예상 성장은 조작된 미디어의 부상으로 인한 것입니다. 조작된 미디어에는 이미지, 동영상, 음성 등의 디지털 컨텐츠가 포함되며, 종종 속이거나 오해를 불러일으키기 위해 다양한 기법으로 변조되거나 조작되는 경우가 많습니다. 이러한 증가의 배경에는 인공지능과 머신러닝 기술의 발전, 강력한 디지털 툴에 대한 접근성 증가, 그리고 변조된 컨텐츠의 확산을 가속화하는 소셜미디어 플랫폼의 보급이 있습니다. 딥페이크 AI는 매우 현실적이면서도 현실을 오인하게 만드는 가짜 미디어를 만드는 데 중요한 역할을 하고 있습니다. 예를 들어 2022년 12월 NATO Strategic Communications Centre Of Excellence는 인스타그램과 같은 플랫폼에서 가짜 활동은 2021년 96%, 2022년 100%, TikTok에서는 2021년 85%, 2022년 100 2021년에는 85%, 2022년에는 97%였다고 보고하고 있습니다. 따라서 조작된 미디어의 부상이 딥페이크 AI 시장의 성장을 가속하고 있습니다.
딥페이크 AI 시장의 주요 기업은 경쟁력을 유지하기 위해 실시간 분석과 같은 고급 솔루션 개발에 집중하고 있습니다. 실시간 분석은 데이터를 검증하고, 데이터를 받으면 거의 즉각적인 인사이트와 대응을 제공합니다. 예를 들어 2024년 3월 독일의 얼굴 인식 전문 기업 BioID GmbH는 딥페이크 감지 소프트웨어의 새로운 버전을 발표했습니다. 이 소프트웨어는 가공된 이미지와 비디오를 감지하고 실시간 분석 및 피드백을 제공하여 생체인식 인증 및 디지털 신원 확인을 안전하게 만듭니다.
목차
제1장 개요
제2장 시장의 특징
제3장 시장 동향과 전략
제4장 시장 - 금리, 인플레이션, 지정학, 신형 코로나바이러스 및 경기회복이 시장에 미치는 영향을 포함한 거시경제 시나리오
제5장 세계의 성장 분석과 전략 분석 프레임워크
세계 딥페이크 AI PESTEL 분석(정치, 사회, 기술, 환경, 법적 요인, 촉진요인과 억제요인)
최종 용도 산업의 분석
세계의 딥페이크 AI 시장 : 성장률 분석
세계의 딥페이크 AI 시장 실적 : 규모와 성장, 2019-2024
세계의 딥페이크 AI 시장 예측 : 규모와 성장, 2024-2029, 2034F
세계 딥페이크 AI TAM(Total Addressable Market)
제6장 시장 세분화
세계의 딥페이크 AI 시장 : 유형별, 실적과 예측, 2019-2024, 2024-2029F, 2034F
음성 딥페이크
영상 딥페이크
비디오 딥페이크
세계의 딥페이크 AI 시장 : 제공별, 실적과 예측, 2019-2024, 2024-2029F, 2034F
소프트웨어
서비스
세계의 딥페이크 AI 시장 : 기술별, 실적과 예측, 2019-2024, 2024-2029F, 2034F
생성적 적대 네트워크(GAN)
오토 인코더
리커런트 뉴럴 네트워크(RNN)
변혁 모델
자연언어처리(NLP)
기타 테크놀러지
세계의 딥페이크 AI 시장 : 최종사용자별, 실적과 예측, 2019-2024, 2024-2029F, 2034F
은행, 금융 서비스, 보험(BFSI)
통신
정부
헬스케어
법률상
미디어와 엔터테인먼트
소매업과 E-Commerce
기타 최종사용자
세계의 딥페이크 AI 시장, 음성 딥페이크의 서브 세분화, 유형별, 실적과 예측, 2019-2024, 2024-2029F, 2034F
음성 합성
음성 클론과 모방
오락을 위한 음성 가공
음성 사기와 보안 애플리케이션
세계의 딥페이크 AI 시장, 영상 딥페이크의 서브 세분화, 유형별, 실적과 예측, 2019-2024, 2024-2029F, 2034F
얼굴 교환
영상 조작과 강화
딥페이크 필터와 개변된 초상화
가짜 프로필 사진 생성
세계의 딥페이크 AI 시장, 비디오 딥페이크의 서브 세분화, 유형별, 실적과 예측, 2019-2024, 2024-2029F, 2034F
영상에서 얼굴과 표정 조작
전신 딥페이크
엔터테인먼트를 위한 딥페이크 영상 생성
정치와 소셜미디어 딥페이크
마케팅과 광고를 위한 가짜 비디오 컨텐츠
제7장 지역별·국가별 분석
세계의 딥페이크 AI 시장 : 지역별, 실적과 예측, 2019-2024, 2024-2029F, 2034F
세계의 딥페이크 AI 시장 : 국가별, 실적과 예측, 2019-2024, 2024-2029F, 2034F
제8장 아시아태평양 시장
제9장 중국 시장
제10장 인도 시장
제11장 일본 시장
제12장 호주 시장
제13장 인도네시아 시장
제14장 한국 시장
제15장 서유럽 시장
제16장 영국 시장
제17장 독일 시장
제18장 프랑스 시장
제19장 이탈리아 시장
제20장 스페인 시장
제21장 동유럽 시장
제22장 러시아 시장
제23장 북미 시장
제24장 미국 시장
제25장 캐나다 시장
제26장 남미 시장
제27장 브라질 시장
제28장 중동 시장
제29장 아프리카 시장
제30장 경쟁 구도와 기업 개요
딥페이크 AI 시장 : 경쟁 구도
딥페이크 AI 시장 : 기업 개요
Google LLC Overview, Products and Services, Strategy and Financial Analysis
Microsoft Corporation Overview, Products and Services, Strategy and Financial Analysis
Amazon Web Services Inc Overview, Products and Services, Strategy and Financial Analysis
Intel Corporation Overview, Products and Services, Strategy and Financial Analysis
Kairos Technologies Overview, Products and Services, Strategy and Financial Analysis
제31장 기타 대기업과 혁신적 기업
Veritone Inc
Cogito Tech
MyHeritage
Pindrop Security
iProov
D-ID
Gradiant
Paravision
Validsoft
Truepic
HyperVerge
BioID GmbH
DuckDuckGoose AI
Idenfy
Deepware Scanner
제32장 세계의 시장 경쟁 벤치마킹과 대시보드
제33장 주요 합병과 인수
제34장 최근 시장 동향
제35장 시장의 잠재력이 높은 국가, 부문, 전략
딥페이크 AI 시장 2029 : 새로운 기회를 제공하는 국가
딥페이크 AI 시장 2029 : 새로운 기회를 제공하는 부문
딥페이크 AI 시장 2029 : 성장 전략
시장 동향에 기반한 전략
경쟁의 전략
제36장 부록
KSA
영문 목차
영문목차
Deepfake AI refers to the use of artificial intelligence, especially deep learning techniques, to create highly realistic but fabricated media content. This technology can manipulate and generate visual and audio content to produce videos, images, or audio recordings that appear authentic. Deepfake AI typically employs generative adversarial networks (GANs) or autoencoders to achieve these realistic effects, making it difficult to distinguish between real and fake content.
The primary types of deepfake AI are voice deepfake, image deepfake, and video deepfake. Voice deepfake involves AI technology that creates synthetic audio recordings that closely mimic a person's voice. This technology includes software and services, utilizing techniques such as generative adversarial networks (GANs), autoencoders, recurrent neural networks (RNNs), transformative models, and natural language processing (NLP), among others. It is used across various sectors, including banking, financial services and insurance (BFSI), telecommunications, government, healthcare, legal, media and entertainment, retail, and e-commerce.
The deepfake AI market research report is one of a series of new reports from The Business Research Company that provides deepfake AI market statistics, including deepfake AI industry global market size, regional shares, competitors with a deepfake AI market share, detailed deepfake AI market segments, market trends and opportunities, and any further data you may need to thrive in the deepfake AI industry. This deepfake AI market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.
The deepfake AI market size has grown exponentially in recent years. It will grow from $0.82 billion in 2024 to $1.03 billion in 2025 at a compound annual growth rate (CAGR) of 26.2%. The growth in the historic period can be attributed to the influence on consumer electronics, expansion of digital content creation, growth in virtual reality (VR) and augmented reality (AR), rising demand for entertainment and media content, and increasing accessibility of data and computing power.
The deepfake AI market size is expected to see exponential growth in the next few years. It will grow to $2.59 billion in 2029 at a compound annual growth rate (CAGR) of 25.9%. The growth in the forecast period can be attributed to the impact on advertising effectiveness, applications in sports analytics, demand for realistic virtual assistants, demand for synthetic data generation, and applications in cybersecurity and fraud detection. Major trends in the forecast period include advancements in computational photography, integration with smart city initiatives, personalized gaming experiences, technological convergence with other AI technologies, and advancements in voice cloning.
The anticipated growth of the deepfake AI market is driven by the rise of manipulated media. Manipulated media involves digital content, such as images, videos, or audio, that has been altered or fabricated using various techniques, often with the intention to deceive or mislead. This increase is due to advancements in artificial intelligence and machine learning technologies, greater access to powerful digital tools, and the widespread use of social media platforms that accelerate the dissemination of altered content. Deepfake AI plays a key role in creating highly realistic but fabricated media that misrepresents reality. For example, in December 2022, the NATO Strategic Communications Centre Of Excellence reported that inauthentic activity on platforms such as Instagram was 96% in 2021 and 100% in 2022, while on TikTok it was 85% in 2021 and 97% in 2022. Therefore, the rise of manipulated media is fueling the growth of the deepfake AI market.
Leading companies in the deepfake AI market are focusing on developing advanced solutions, such as real-time analysis, to maintain a competitive edge. Real-time analysis involves examining data and providing insights or responses almost instantly as the data is received. For instance, in March 2024, BioID GmbH, a Germany-based company specializing in face detection, launched a new version of its deepfake detection software. This software secures biometric authentication and digital identity verification by detecting manipulated images and videos, offering real-time analysis and feedback.
In May 2024, McAfee Corp., a US-based computer security software company, teamed up with Intel to enhance its AI-powered deepfake detection technology. This partnership utilizes the Neural Processing Unit (NPU) in Intel CoreTM Ultra processor-based PCs to address concerns over deepfake scams and misinformation. Intel Corporation, a US-based technology company, provides AI-powered solutions for detecting deepfakes.
Major companies operating in the deepfake ai market are Google LLC, Microsoft Corporation, Amazon Web Services Inc, Intel Corporation, Kairos Technologies, Veritone Inc, Cogito Tech, MyHeritage, Pindrop Security, iProov, D-ID, Gradiant, Paravision, Validsoft, Truepic, HyperVerge, BioID GmbH, DuckDuckGoose AI, Idenfy, Deepware Scanner, Sensity AI, Quantum Integrity
North America was the largest region in the deepfake AI market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the deepfake ai market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
The countries covered in the deepfake ai market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.
The deepfake AI market consists of revenues earned by entities by providing services such as deepfake detection, voice cloning, virtual avatars, and face swapping. The market value includes the value of related goods sold by the service provider or included within the service offering. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included.
The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).
The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.
Deepfake AI Global Market Report 2025 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.
This report focuses on deepfake ai market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.
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Where is the largest and fastest growing market for deepfake ai ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward? The deepfake ai market global report from the Business Research Company answers all these questions and many more.
The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.
The market characteristics section of the report defines and explains the market.
The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
The forecasts are made after considering the major factors currently impacting the market. These include:
The forecasts are made after considering the major factors currently impacting the market. These include the Russia-Ukraine war, rising inflation, higher interest rates, and the legacy of the COVID-19 pandemic.
Market segmentations break down the market into sub markets.
The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth. It covers the growth trajectory of COVID-19 for all regions, key developed countries and major emerging markets.
The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
The trends and strategies section analyses the shape of the market as it emerges from the crisis and suggests how companies can grow as the market recovers.
Scope
Markets Covered:1) By Type: Voice Deepfake; Image Deepfake; Video Deepfake
2) By Offering: Software; Service
3) By Technology: Generative Adversarial Networks (GANs); Auto Encoders; Recurrent Neural Networks (RNNs); Transformative Models; Natural Language Processing (NLP); Other Technologies
4) By End User: Banking, Financial Services And Insurance (BFSI); Telecommunications; Government; Healthcare; Legal; Media And Entertainment; Retail And Ecommerce; Other End Users
Subsegments:
1) By Voice Deepfake: Speech Synthesis; Voice Cloning And Mimicry; Voice Alteration For Entertainment; Voice Fraud And Security Applications
2) By Image Deepfake: Face Swapping; Image Manipulation And Enhancement; Deepfake Filters And Altered Portraits; Fake Profile Picture Generation
3) By Video Deepfake: Face And Expression Manipulation In Videos; Full-Body Deepfakes; Deepfake Video Generation For Entertainment; Political And Social Media Deepfakes; Fake Video Content For Marketing And Advertising
Companies Mentioned: Google LLC; Microsoft Corporation; Amazon Web Services Inc; Intel Corporation; Kairos Technologies
