Five Data Center Predictions for 2025 (Uptime Intelligence)

Overview

This document is the predictions report that Uptime Intelligence published in January 2025 as UII Keynote Report 165. The full report runs to 23 pages and sits behind a registration form or an Uptime Intelligence subscription. The public part is a 12-page executive summary plus the description on the landing page. What is described here therefore rests only on that public description; the report's detailed arguments and numbers are outside the scope of this page.

According to the description, the report offers predictions for 2025 under five themes. They are the evolution of AI hardware, whether AI training and inference will run on premises or in the cloud, innovations in power distribution, public opposition to new data centers, and the need to collaborate with utilities on grid limits. The themes reflect an industry under interlinked pressures from density, access to power and social acceptance.

The report is the joint work of Uptime Intelligence analysts; the authors are listed as D. Bizo, D. Donnellan, P. Judge, A. Lawrence, O. Rogers and M. Smolaks. It is an industry outlook, not a design standard or calculation method. It therefore supplies no direct design rules, but it gives context on which direction assumptions and roadmap notes should take.

Key points

1. Published in January 2025 as UII Keynote Report 165.
2. A 12-page executive summary of the 23-page report is public.
3. Topics: AI hardware, power distribution innovation, public opposition and grid limitations.
4. Asks whether AI training and inference will be on premises or in the cloud.
5. Stresses the need to collaborate with utilities on grid limits.
6. Authors: D. Bizo, D. Donnellan, P. Judge, A. Lawrence, O. Rogers, M. Smolaks.
7. Full report requires registration or subscription; copyright Uptime Institute.

Using it in design

• Cite it as context when documenting density, grid and liquid-cooling assumptions as roadmap notes in the design wizard.
• List grid access and the utility engagement timeline as an early project risk.
• Treat power-distribution innovation and high-density AI hardware as a reason to reserve space and infrastructure margin for later expansion.
• Do not use it as a source of design rules; use it only to justify assumptions.

Who should read it

Data center managers and design teams building strategy, planning and roadmap assumptions.

Publication details

Authors

Uptime Institute Intelligence

Publisher

Uptime Institute

Year

2025

Document number

UII Keynote Report 165

Document language

English

Source type

Industry body

Access

Citation only

Licence

Copyright retained; citation only — the publisher’s terms apply to the original document

Citation