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  • Yogesh Brown added article Other
    2025-06-04 13:56:47 -
    Global Deepfake AI Market Structure, Key Players, and Emerging Trends
    The global Deepfake AI Market is witnessing a dramatic surge in growth, fueled by rapid technological advancements in artificial intelligence, generative adversarial networks (GANs), and synthetic media applications. Deepfake technology, once limited to novelty and entertainment, is now influencing diverse sectors including digital marketing, film production, cybersecurity, and...
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  • Shruti Garud added article Other
    2025-10-22 13:10:21 -
    Global Deepfake AI Market: Size, Competitive Share and Trend Forecast to 2035
    The global Deepfake AI Market is undergoing rapid evolution, driven by accelerated adoption of advanced technologies, expanding digital ecosystems, and increasing integration of artificial intelligence into creative, security, and communication platforms. Deepfake technology leverages sophisticated machine learning algorithms to create hyper-realistic digital content, enabling both...
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  • Ajinkya Shinde added article Other
    2025-05-29 12:18:37 -
    Strategic Overview of the Deepfake AI Market: Growth Opportunities and Challenges
    Market Overview Global Deepfake AI Market size and share is currently valued at USD 794.55 million in 2024 and is anticipated to generate an estimated revenue of USD 25,495.16 million by 2034, according to the latest study by Polaris Market Research. Besides, the report notes that the market exhibits a robust 41.5% Compound Annual Growth Rate (CAGR) over the forecasted timeframe, 2025...
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  • Priyanka Parate added article Other
    2026-01-29 10:52:28 -
    What Industries Will Drive the Next Phase of Deepfake AI Market Growth?
    Deepfake AI Market Overview The Deepfake AI Market is expanding rapidly as artificial intelligence technologies capable of generating highly realistic synthetic media gain widespread adoption across multiple industries. Deepfake AI leverages advanced machine learning techniques such as deep neural networks, generative adversarial networks (GANs), and autoencoders to create or...
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