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US Hyperscale Data Center Market Industry Outlook & Forecast 2025-2030

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The U.S. hyperscale data center market is projected to expand at a CAGR of 7.47% from 2024 to 2030, driven by AI, ML, and automation demands. Key trends include liquid cooling solutions for AI workloads, which improve efficiency and reduce downtime risks. Significant investments are being made, like IREN’s 75 MW AI data center in Texas and Vantage’s $25 billion Frontier Campus. Microsoft and Google are advancing energy-efficient technologies, aiming for sustainability goals. Northern Virginia remains a key hub, but expansion faces challenges, diverting projects to Texas and Oregon. Major market players include AWS, Microsoft, and Google, contributing significantly to growth.

US Hyperscale Data Center Market – Industry Outlook & Forecast 2025-2030

US Hyperscale Data Center Market - Industry Outlook & Forecast 2025-2030
US Hyperscale Data Center Market – Industry Outlook & Forecast 2025-2030

Dublin, Oct. 16, 2025 (GLOBE NEWSWIRE) — The “US Hyperscale Data Center Market – Industry Outlook & Forecast 2025-2030” report has been added to ResearchAndMarkets.com’s offering.

The U.S. hyperscale data center market is expected to grow at a CAGR of 7.47% from 2024 to 2030.

U.S. HYPERSCALE DATA CENTER MARKET TRENDS

Liquid Cooling Solutions For AI/ML Workloads

  • Liquid cooling offers several advantages over traditional air-based systems, particularly in terms of efficiency, sustainability, and performance. Unlike air cooling, which struggles to release the heat generated by today’s powerful AI and ML chips, liquid cooling uses circulating fluids to remove heat directly from the source, providing faster and more effective cooling. This is essential for keeping AI-driven data centers running smoothly, as even brief periods of overheating or downtime can lead to costly disruptions and equipment damage.

  • In March 2025, Crypto and AI data center company IREN announced its plans to develop a 75 MW AI data center in Texas. They are planning to deploy a new 75 MW liquid-cooling data center for AI/high-performance computing at its Childress site in Texas. It will be designed to support 200 kW per rack via direct-to-chip cooling for NVIDIA’s Blackwell GPUs.

  • Microsoft continues to integrate direct-to-chip liquid cooling and research microfluidic technologies to enhance energy efficiency in its data centers, driven by increasing demands from AI workloads. These innovations aim to optimize server layouts, reduce water consumption, and increase rack power density while enabling higher compute power per sq ft. This shift supports the goal of Microsoft to become water-positive by 2030, amidst rising water usage across its global operations.

Growth in Artificial Intelligence (AI), Machine Learning (ML), and Automation

  • The U.S. remains the global leader in AI and ML adoption, with hyperscale cloud providers, enterprises, and government-backed initiatives driving massive investments in next-generation digital infrastructure. AI workloads, including generative AI, large language models (LLMs), and HPC, fuel demand for hyperscale campuses and specialized GPU clusters across the country.

  • In August 2025, Vantage Data Centers unveiled its record-breaking $25 billion Frontier Campus in Shackelford County, Texas. The site is likely to host 1.4 GW of IT load capacity across 10 hyperscale AI-ready facilities, designed to power the next wave of generative AI deployments.

  • In August 2025, Applied Digital invested $3 billion to develop Polaris Forge 2, a 280MW AI and HPC-focused data center campus in Harwood, North Dakota. The project, designed with liquid cooling technology and backed by Cass County Electric Cooperative, reflects the shift of the company from cryptomining to AI infrastructure, with advanced negotiations underway with a US-based hyperscaler.

  • In July 2025, TCDC closed on 235 acres in Ector County with an option for 203 more, positioning the site for a 250MW AI data center scalable to over 1GW. The facility is likely to integrate natural gas engines and potential carbon capture systems, with the first phase scheduled for 2026.

  • In July 2025, the Department of Energy (DOE) designated four Federal sites, including Idaho National Lab, Oak Ridge, Paducah, and Savannah River, for future AI data centers and power infrastructure. Solicitations for private partners will launch this year, with selections expected by year-end.

  • In July 2025, Google Public Sector secured a contract worth up to $200 million with the U.S. Department of Defense to provide AI infrastructure, including TPUs and secure cloud services. OpenAI, Anthropic, and xAI also received awards under the same program to support advanced AI for national security.

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