Generative AI Market Growth Analysis & Forecast Report | 2023-2032 - PowerPoint PPT Presentation

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Generative AI Market Growth Analysis & Forecast Report | 2023-2032

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Considering the technology spectrum, the market is segmented into diffusion models, variational auto-encoders, transformers model, and GANs. The variational auto-encoders (VAEs) technology segment of Generative AI market is poised gain traction during the forecast period. VAEs are deep learning models that enable the generation of high-quality synthetic data by learning the underlying structure of the input data. – PowerPoint PPT presentation

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Title: Generative AI Market Growth Analysis & Forecast Report | 2023-2032


1
AI Governance Market Growth Potential Forecast,
2032
2
  • Industry Insights
  • The rapid adoption of AI technologies across
    several industries and the rising concerns about
    ethical, legal, and societal implications to
    ensure responsible and accountable AI adoption
    will drive the market growth. Several regulatory
    bodies and governments are increasingly
    recognizing the importance of AI governance to
    protect consumer rights, and privacy, and
    mitigate biases. The growing awareness among
    multiple organizations about the reputational and
    financial risks associated with unethical AI
    practices has prompted the need to prioritize
    governance measures, further fuelling the market
    growth.
  • AI governance market from the services segment
    reached USD 45 million in 2022. The growth can be
    attributed to the increasing focus of
    organizations on seeking external expertise to
    ensure compliance with ethical guidelines and
    regulatory requirements. Of late, there has been
    a significant rise in the number of service
    providers offering AI governance consulting,
    auditing, and implementation services.

3
  • The cloud-based AI governance market is projected
    to record over 52 CAGR till 2032, attributed to
    rising demand from SMEs with insufficient
    resources and infrastructure to support
    on-premises installations. Cloud-based solutions
    are cost-effective as they help organizations to
    avoid upfront infrastructure expenditures and pay
    for AI governance solutions on subscription or
    use basis. Subsequently, the increasing
    popularity of cloud-based solutions will anchor
    the market development.

4
  • Regional Analysis
  • Europe AI governance market is projected to reach
    USD 1 billion by 2032. Several government bodies
    in the region are aggressively implementing AI
    technology across different industries, including
    healthcare, manufacturing, banking, and
    transportation, contributing to the adoption of
    AI governance solutions. Furthermore, Europe is
    at the forefront of AI regulation, with the EU
    taking substantial measures to build ethical and
    legal frameworks for AI. The emergence of several
    regulations, including the General Data
    Protection Regulation and the upcoming AI Act
    will also boost the regional industry outlook.
  • Competitive Analysis
  •  Alphabet Inc., BigID, Capgemini, Deloitte,
    Everis, EY, Facebook Inc., IBM Corporation, KPMG,
    Looker, Maxwell IT, Microsoft Corporation, Oracle
    Corporation, PwC, SAP SE, SAS, Sovrin Foundation,
    and Stefanini.

5
AI Governance Market _at_ https//www.gminsights.com
/industry-analysis/ai-governance-market
Request for sample of this research report _at_
https//www.gminsights.com/request-sample/detail/6
015
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.com/roc/6015
6
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7
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