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Data center outlook: Creating data centers ready for today, built for tomorrow

New insights from the Infrastructure Transition Monitor reveal how data center leaders are scaling digital capacity while managing rising pressure on energy, resilience, and decarbonization.​

Olvasás időtartama: 15 perc
Three professionals walking through a modern data center, wearing business attire and identification badges, with rows of server racks visible in the background.

AI, cloud computing, and accelerating digital demand are reshaping the data center industry at unprecedented speed. At the same time, operators face growing pressure from energy constraints, rising operational costs, decarbonization targets, and increasing infrastructure complexity. This white paper explores how resilient power infrastructure, intelligent digitalization, and future-ready facilities can help data centers scale sustainably while improving efficiency, uptime, and operational transparency.​

Data centers are at the heart of the accelerating digital economy, driven by rapid growth in cloud computing, AI workloads, and edge technologies. This expansion is increasing demand for energy, infrastructure capacity, and operational resilience at a pace that is challenging existing systems. At the same time, operators face tightening sustainability targets, rising energy costs, and constraints in power availability and grid capacity.​

Based on insights from the Infrastructure Transition Monitor 2025, data center leaders highlight how they are responding by investing in electrified, digital, and more intelligent infrastructure.

Key learnings:

  • Why only 28% of data center leaders expect to meet their 2030 decarbonization targets​
  • How grid constraints and energy costs are reshaping data center expansion strategies​
  • Why digitalization and AI are seen as key enablers for efficiency, resilience, and sustainability​
  • How operators are increasing investment in smart power infrastructure and renewable integration​
  • Why future-ready facilities are critical to managing AI-driven density and operational complexity​

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