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市場調査レポート
商品コード
1758706
ディープフェイクAIの市場規模、シェア、成長分析、オファリング別、技術別、業界別、地域別 - 産業予測、2025年~2032年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 |
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ディープフェイクAIの市場規模、シェア、成長分析、オファリング別、技術別、業界別、地域別 - 産業予測、2025年~2032年 |
出版日: 2025年06月21日
発行: SkyQuest
ページ情報: 英文 198 Pages
納期: 3~5営業日
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ディープフェイクAIの世界市場規模は2023年に5億6,000万米ドルと評価され、2024年の7億9,576万米ドルから2032年までには132億2,923万米ドルに成長し、予測期間(2025年~2032年)のCAGRは42.1%で成長する見通しです。
ディープフェイクAI業界は過去10年間で大きな進歩を遂げ、目覚ましいビジネスチャンスと大きなリスクの両方をもたらしています。エンターテインメントの分野では、俳優の若返りやデジタルアバターを作ったりするのに使われ、低コストでコンテンツ制作を強化する用途が見つかっています。Synthesiaのような企業は多額の投資を引き寄せており、市場の強い信頼がうかがえます。しかし、この技術革新は、FBIが指摘したAI関連の詐欺事件が55%増加したと報告されていることからもわかるように、誤報や個人情報窃盗に関する深刻な懸念を引き起こしています。中国の新たな表示要件を含む世界の規制当局がリスク軽減のための監視を強化する中、業界はサイバーセキュリティや倫理的ジレンマに関する課題に直面しており、成長の可能性を妨げる可能性があります。ディープフェイク検出ソリューションの需要も急増しており、強固なガバナンスプロトコルが必要となっています。
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.