Artificial Intelligence (AI) Governance Market 2023 is projected to rise at a modest CAGR of 61.30% by 2029

Data Bridge Market Research analyses that the artificial intelligence (AI) governance market which was growing at a value of 564.3 million in 2021 and is expected to reach the value of USD 25,857.41 million by 2029, at a CAGR of 61.30% during the forecast period of 2022-2029. The market report curated by the Data Bridge Market Research team includes in-depth expert analysis, import/export analysis, pricing analysis, production consumption analysis, and pestle analysis.

The Artificial Intelligence (AI) Governance report provides a structured investment analysis that predicts upcoming opportunities for market players and devises strategies to enhance return on investment (ROI). This market research report stands out due to its transparent approach, employing appropriate tools and techniques. It conducts estimations on market status, growth rate, future trends, market drivers, restraints, key opportunities, challenges, risks, entry barriers, sales channels, distributors, and Porter's Five Forces Analysis. The Artificial Intelligence (AI) Governance market analysis report contains crucial data for future forecasting and in-depth analysis at both global and regional levels.

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Product definition

Artificial intelligence (AI) governance is the idea that a legal framework should be in place to ensure that machine learning (ML) techniques are thoroughly researched and developed in order for mankind to operate in a reasonable manner through the use of AI systems. Artificial intelligence (AI) governance seeks to bridge the gap between technological advancement and accountability by addressing issues such as notification rights and potential violations.

Recent Development

• In February 2022, Meta AI (formerly Facebook AI) announced that it had open-sourced data2vec, a unified framework for self-supervised deep learning on text, images, and speech audio data.
• In February 2022, Virtana, a California-based technology company, announced that it had developed a hybrid cloud management solutions platform that would allow its customers to plan, execute, and manage their hybrid cloud implementations. In addition, the company stated that it used a combination of AI, machine learning, and data analytics to provide observability for managing app workloads across public, private, hybrid, and multi-cloud environments.

Some of the major players operating AI Governance market are

• IBM Corporation (U.S.)
• Microsoft (U.S.)
• Siemens AG (Germany)
• ANSYS, Inc (U.S.)
• SAP SE (Germany)
• Oracle (U.S.)
• Robert Bosch GmbH (Germany)
• Swim.ai, Inc. (U.S.)
• Atos S.E. (France)
• • size