Originally posted on Data Center POST.
Artificial intelligence is currently driving an unprecedented expansion in digital infrastructure. According to Structure Research‘s new AI Infrastructure Report, global AI-focused data center capacity is projected to undergo a 66-fold increase, surging from roughly 2.3 gigawatts (GW) today to an estimated 150 GW by the year 2030. This massive trajectory highlights the critical need to understand exactly where new capacity is being built and who is consuming it.
To make sense of this complex ecosystem, the research utilizes proprietary datasets to provide a bottom-up analysis of the organizations that are funding, building, and utilizing these resources. It reconciles infrastructure ownership with actual compute consumption, tracking company-level deployments alongside emerging trends like neocloud providers and sovereign AI initiatives. This unified perspective helps industry leaders pinpoint where capital is flowing and how market dynamics are actively shifting.
Looking ahead, power availability stands out as one of the most significant constraints to this projected infrastructure growth. Additionally, the findings highlight that hyperscalers, dedicated AI labs, neoclouds, and sovereign AI programs are executing increasingly distinct strategies that will fundamentally shape the global compute landscape and determine how infrastructure investments are converted into available capacity over the coming years.
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