Virtually every firm that studies the impact of artificial intelligence on “computing as a service” providers seems to believe the impact on revenue growth will be substantial.
As always, methodology matters. Studies may vary in their expectations for the shift from private to public cloud computing, the role and significance of edge computing and estimates of AI model building and inference generation enterprises will conduct on public cloud facilities.
Study Name | Publishing Venue | Date of Forecast | Growth Prediction |
AI in Cloud Computing: A Growth Engine for CaaS | Forrester Research | 2023-10-26 | 25-30% CAGR (2024-2030) |
The AI Revolution in Cloud Services | McKinsey & Company | 2023-07-12 | 30-40% CAGR (2024-2029) |
Global CaaS Market: AI-Powered Growth and Innovation | IDC | 2023-06-01 | 20-25% CAGR (2024-2030) |
Gartner Hype Cycle for Emerging Technologies 2023 | Gartner, Inc. | August 2023 | AI-powered CaaS expected to reach mainstream adoption within 2-5 years, driving significant revenue growth. |
Accenture Technology Vision 2023: The AI Advantage | Accenture | October 2023 | AI-powered CaaS platforms to become integral to business operations, leading to a 15-20% rise in CaaS market share by 2030. |
Bain & Company: Artificial Intelligence 2023: The State of AI in Business | Bain & Company | September 2023 | AI-powered CaaS expected to unlock $500 billion in cost savings and $1 trillion in new revenue opportunities by 2030. |
Deloitte Insights: The AI Imperative: Harnessing the Power of Artificial Intelligence | Deloitte Consulting | May 2023 | AI-driven CaaS to create a $5 trillion market by 2030, with significant growth in areas like intelligent edge computing and machine learning-powered optimization. |
Bank of America Global Technology Research: AI in the Cloud: A New Era of Computing | Bank of America | October 2023 | AI-driven CaaS expected to be a key driver of cloud service adoption, contributing to a 25% CAGR for the cloud computing market between 2024-2030. |
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