7 data center trends to watch—as seen at Data Centre World London 2026
Summary
The article details 7 data center trends observed at Data Centre World London 2026, an event in March 2026 with over 19,000 attendees. IoT Analytics conducted 50+ interviews, contributing to a 36-page report on 26 trends, with seven highlighted here. Key trends include the industry's push towards >1MW rack density, driven by AI workloads, and the adoption of direct-to-chip liquid cooling as an industry standard. Data centers are also preparing for a shift to 800V DC architectures for improved efficiency. Other significant developments involve the consolidation of data center software into unified tools, the use of extreme fiber optic cable counts (e.g., Fujikura's 13,000-fiber cable), and busbars replacing traditional cabling for enhanced flexibility. A critical bottleneck identified is grid connectivity, with lead times reaching 6-8 years in some regions. The data center market is estimated at over \$500 billion in 2026.
Key takeaway
For AI Architects designing or upgrading data center infrastructure, recognize that AI workloads demand extreme densification, making direct-to-chip liquid cooling and 800V DC architectures critical. You should prioritize unified DCIM software solutions to manage complexity and consider busbars for flexible power distribution. Be aware that grid connectivity can be a significant bottleneck, requiring long-term planning for new deployments.
Key insights
AI workloads are rapidly transforming data center infrastructure, driving extreme densification and architectural shifts.
Principles
- AI workloads necessitate extreme rack densification.
- Direct-to-chip liquid cooling is the new standard.
- 800V DC architectures improve power efficiency.
In practice
- Design facilities with direct-to-chip liquid cooling.
- Evaluate 800V DC architectures for new builds.
Topics
- Data Center Infrastructure
- AI Workload Demands
- Liquid Cooling Technology
- DC Power Architectures
- Data Center Software
- Busbar Power Systems
- Grid Connectivity
Best for: CTO, VP of Engineering/Data, Director of AI/ML, AI Architect, AI Hardware Engineer, IT Professional
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Editorial summary, takeaway, and curation by AIssential. Original article published by IoT Analytics.