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Source document· March 11, 2026

U.S. Data Center Construction Market Outlook Report 2026-2031 Featuring Key Investors - Apple, Applied Digital, AWS, CyrusOne, DataBank, Digital Realty, Equinix, Google, Meta, Microsoft, NTT, Vantage

View original at finance.yahoo.com
U.S. Data Center Construction Market Outlook Report 2026-2031 Featuring Key Investors - Apple, Applied Digital, AWS, CyrusOne, DataBank, Digital Realty, Equinix, Google, Meta, Microsoft, NTT, Vantage Company Logo The U.S…
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  • The AI industry is set to increase the size of hyperscale data centers significantly, with capacity for AI workloads expected to almost triple over the next five to six years

    60% confidence
  • New data centers are being designed to support high-density AI-based workloads with the rising adoption of AI across several industries

    60% confidence
  • The U.S. Data Center Construction Market was valued at USD 83.97 Billion in 2025, and is projected to reach USD 154.49 Billion by 2031, rising at a CAGR of 10.70%

    60% confidence
  • Demand for data centers in the New York-New Jersey market remains high, driving vacancies down to less than 6%

    60% confidence
  • As computing power demands and performance expectations rise, driven by AI, IoT, and ML advancements, the need for power usage will increase, resulting in higher temperatures within IT infrastructure

    60% confidence
  • Liquid cooling is becoming a significant trend that major colocation operators are implementing and is emerging as a key differentiator for colocation providers as AI and compute-intensive workloads continue to grow

    60% confidence
  • Partnerships among data center operators, cooling technology vendors, chip manufacturers, and energy innovators are becoming essential for developing sustainable AI infrastructure

    60% confidence
  • Texas and Arizona contribute to over 90% of the data center investments in the Southwestern U.S. region

    60% confidence
  • AI-based data centers utilize GPUs as they can perform massively parallel computations, train and run AI models dramatically faster, use power more efficiently for each AI task, support real-time AI inference, and enable high-density, scalable facilities

    60% confidence
  • The Southeastern U.S. is expected to be the largest market in 2031 in terms of power capacity, with a share of around 32% in 2031, followed by the Midwestern U.S.

    60% confidence
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