The artificial intelligence (AI) data center market is expected to expand at a 24.5% compound annual growth rate (CAGR) — reaching $78.91 billion by 2032, up from $13.67 billion in 2024 — according to a new report from Data Intelligence. The firm credits the expected growth to the surge in AI workloads, from large language model (LLM) training to enterprise-scale inference.
In its report, Data Intelligence noted that AI workloads accounted for nearly half of all new hyperscale deployments, with U.S. and China emerging as the epicenters of investment.
By the end of the decade, AI data centers are expected to consume as much as 12% of U.S. electricity and nearly 4% of China’s national grid capacity.
Among the most recently announced AI data centers (both in July) were:
- The U.S. Department of Energy AI Hub Program: Four federal sites, Idaho National Laboratory, Oak Ridge Reservation, Paducah, and Savannah River will advanced AI data centers integrated with clean energy infrastructure, an initiative designed to reduce costs, ensure grid reliability, and reinforce the U.S. as a global leader in AI-enabled infrastructure.
- Stargate Project (OpenAI, Oracle, SoftBank): OpenAI and Oracle launched the Stargate expansion, a $500 billion project adding 4.5 GW of AI data center capacity nationwide. The initiative builds on their flagship site in Texas and represents the largest private investment in AI infrastructure globally.
Those projects contribute to the 85% of the North American AI data center market located in the U.S., according to the report. Pennsylvania, Virginia, and Texas regions are emerging as hyperscale AI hubs.
The report concluded, “As AI reshapes industries from healthcare to mobility, the backbone of this revolution will be the data centers powering the models. The race to deploy will define not only who leads in AI, but also how sustainably the world transitions into the age of intelligence.”