This report highlights the impact of artificial intelligence on the data center power infrastructure market, focusing on how AI improves power management, operational efficiency, and system reliability. It explores key applications such as predictive maintenance, digital twins, real-time energy optimization, and capacity forecasting, while examining how AI is driving smarter, more resilient, and cost-effective power infrastructure solutions.
Report Includes
- Impact analysis of artificial intelligence (AI) on the global power infrastructure for data centers market
- Case studies for successful integration of AI and advanced analytics in load balancing, energy optimization, predictive maintenance and capacity planning
- Highlights of AI adoption trends across major geographical regions, as well as disruptions caused by AI across key data center operations, energy management and IT infrastructure industry verticals
- AI’s role in power efficiency, cooling optimization, reliability enhancement and operational decision-making
- Review of AI impact on the various stages of the global data center power infrastructure value chain and supply chain analysis
- Competitive landscape featuring key strategic initiatives, market spendings and an investment outlook
Table of Contents
Chapter 1 Key Use Cases for AI Adoption in Power Infrastructure for Data Centers Market- Overview
- Vendor AI-Readiness Scorecard
- Key Use Cases/Case Studies
- Case 1: Digital-Twin (Grid-to-Chip) Simulation for Pre-Commissioning and Risk Validation
- Case 2: Edge or Real-Time AI to Detect and Mitigate AI-Load “Burst” Events
- Case 3: AI Optimization of Cooling and Site Energy (Fleet or Site Level)
- Overview
- Key Adoption Trends
- AI Adoption Trends by Region
- Adoption Trends in North America
- Adoption Trends in Europe
- Adoption Trends in Asia-Pacific
- Adoption Trends in the Rest of the World
- Impact of AI on Key Industry Verticals
- Key Disruption Trends
- IT and Telecom
- BFSI
- Retail and E-Commerce
- Healthcare
- Manufacturing
- Government and Public Sector
- Media and Entertainment
- Impact of AI on Various Stages of the Supply Chain
- Raw Materials and Components
- Power Equipment Manufacturing
- System Integration and Prefabrication
- Installation and Commissioning
- Digital Power Monitoring and Control
- End-Use
- Key Spending by Companies on AI
- Abbreviations Used in the Report
Table 1: AI-Readiness Scorecard (Power Infrastructure for Data Centers), 2025
Table 2: Key Spending by Companies on AI, 2025-2026
Table 3: Abbreviations Used in This Report
