The International Energy Agency's (IEA) latest Electricity 2026 report indicates that global data center electricity demand will more than double by 2030, reaching approximately 945 TWh.
Unlike traditional data centers with capacities of 1-10 MW, AI data centers typically require 100-500 MW, some even exceeding 1 GW—enough to power a city of several hundred thousand people. A single mega-cluster built by Elon Musk can consume as much electricity in one day as 100,000 U.S. households.
What does this mean? During AI training, current loads fluctuate dramatically within milliseconds. Even a slight voltage instability could result in millions of dollars in losses. Standard transformers struggle to meet these stringent requirements, making precision-engineered specialized transformers an essential need.
Global wind and solar PV capacity continues to expand. By 2025, China's cumulative new energy installed capacity reached 1.84 billion kW, accounting for over 50% of total power generation capacity. However, the intermittency of renewables imposes new demands on transformers: wind farms require low-voltage ride-through capability, and PV plants need to coordinate with inverters for maximum power point tracking.
More critically, many renewable projects are completed only to find a shortage of suitable step-up transformers needed to connect to the main grid. The European Network of Transmission System Operators for Electricity has warned that without accelerating transformer supply, the EU's 2030 grid expansion targets will be difficult to achieve.
In the U.S., 46% of distribution facilities have exceeded their 25-year design life on average. Some parts of European grids have been operating for 50 years. Under extreme weather, failure rates of aging transformers have surged by 70% over the past decade, with repair lead times extending to 120 weeks.
According to Wood Mackenzie estimates, the current global supply gap for power transformers is as high as 30%, and for distribution transformers, it has reached 10%. The average delivery lead time for a standard large power transformer in the U.S. has extended to 128 weeks—nearly two and a half years.
In contrast, China's delivery cycle is only 10-12 months, with urgent orders compressible to 6 months.
China has built the world's most complete transformer production system, accounting for approximately 60% of global capacity. From upstream materials like copper, grain-oriented silicon steel, and insulation, to midstream components such as cores and windings, and downstream assembly and testing, it has achieved 100% self-sufficiency.
Take grain-oriented silicon steel, for example—the core material for manufacturing high-efficiency transformer cores. Over 70% of global production capacity is concentrated in China. Without this material, even with factories and designs, it's impossible to produce transformers that meet modern efficiency standards.
In the UHV sector, China has mastered ±1100 kV HVDC transmission technology. The world's first 500 kV vegetable oil transformer was commissioned in Guangzhou. Smart transformers, integrating sensors and AI chips, now enable fault prediction.
More importantly, breakthroughs are happening in solid-state transformers (SST)—the next-generation technology. SSTs use power electronics to achieve voltage conversion, boasting efficiency up to 99.1%, response speeds ten times faster, and significantly reduced size. Driven by the demands of AI computing power, their industrialization is accelerating.
Recently, startups focused on solid-state transformers have raised over $330 million. Companies like Hyperscale Power are building transformers capable of operating at higher frequencies. By boosting power frequency to tens of kilohertz for processing, they achieve significantly smaller device sizes compared to competitors.
For AI data centers, this means the transformer next to the server rack no longer needs to be "more than twice the size of the server rack itself."
The U.S. Department of Energy's final rule on energy efficiency standards for distribution transformers, issued in April 2024, is projected to reduce carbon dioxide emissions by 85 million tons over thirty years.
In this context, low-carbon solutions like amorphous core transformers and natural ester oil transformers are gaining traction faster. Industry giants like Hitachi Energy are promoting SF₆-free switchgear and eco-friendly transformers.
Smart transformers, integrating real-time sensors and predictive maintenance capabilities, are reshaping power systems. Hitachi Energy's HMAX Energy digital service portfolio provides transformative technologies for data centers, industrial electrification, and other sectors.
China's National Development and Reform Commission and National Energy Administration issued guidance in 2025 on promoting high-quality development of "AI+" energy, explicitly outlining a strategic path for "coordinated development of computing power and electricity."
Given that the global supply tightness is expected to persist until at least 2028, it is recommended to:
Initiate procurement for large projects 18-24 months in advance
Establish long-term partnerships with reputable suppliers
Consider modular designs to facilitate future capacity expansions
Procurement decisions in 2026 should prioritize:
Energy Efficiency Metrics: Opt for models with ultra-low no-load and load losses
Environmental Compliance: Pay attention to policies like the EU's Carbon Border Adjustment Mechanism (CBAM)
Intelligent Capabilities: Check for support for remote monitoring and predictive maintenance
Indoor/Data Centers: Prioritize dry-type or cast resin transformers to meet fire safety requirements
Outdoor/Harsh Environments: Hermetically sealed oil-immersed transformers offer greater reliability; some specialized desert PV transformers can operate stably for 30 years at 60°C
High Seismic Zones: Pay attention to anti-seismic design features
