ISG says German enterprises reshape private, hybrid clouds to support AI workloads

Operations are moving toward predictive, more autonomous management using AI monitoring, GenAI copilots and self-service tools for troubleshooting and capacity planning.

Sustainability is becoming a sourcing filter as AI power use rises; buyers want transparency on energy and water efficiency for high-density systems.

Higher hyperscaler costs, licensing shifts and sovereignty mandates are pushing more sensitive workloads into private or hybrid setups; public cloud is being used selectively.

ISG says German enterprises are redesigning private and hybrid clouds to run AI workloads while tightening control over sensitive data.

Capacity planning is constrained by regulation, energy shortages, rising AI compute demand, location requirements and governance rules.