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New Cloud Industry Research

Leading insights for bridging the gap between AI ambition and maturity
Our latest research reveals a clear path to AI maturity, enabling your enterprise to achieve superior business outcomes and outpace industry peers.

Commissioned by Vultr and conducted by S&P Global Market Intelligence, the research surveyed over 1,000 U.S.-based enterprise IT and digital transformation decision makers responsible for their organization’s AI strategy across industries, including healthcare and life sciences, government and public sector, retail, manufacturing, financial services, and more.

Key research insights

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The age of multi-model AI is here

AI-mature enterprises have 158 models in production on average.

This number is expected to rise to an average of 176 AI models within the next year.



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AI maturity is the new competitive weapon

AI-driven organizations performed better in 2023 compared to 2022 across core business outcomes:

  • 91% did better in terms of revenue

  • 89% did better in market share

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AI acceleration is significant

  • The vast majority (89%) expect advanced AI use in 2 years

  • AI maturity maps to greater spending and better outcomes for AI projects

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A new AI infrastructure order is forming.

Enterprises are now evaluating alternatives to the hyperscalers for their AI workloads, as the modern AI infrastructure stack is hybrid/multicloud. For companies scaling AI across the organization and across geographies to the distributed edge, open, secure, and compliant are the top attributes of cloud platforms.


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Dive into the latest survey report from S&P Global

Gain comprehensive insights into AI maturity, and discover how your enterprise can harness AI’s full potential.

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