Key Insights:
- AI is the primary engine of data center capacity growth. Across all regions, AI workloads are driving most next-generation data center builds. By the early 2030s, ABI Research forecasts AI to account for a larger share of active Information Technology (IT) load than legacy workloads.
- Hyperscalers remain dominant, but the market is fragmenting. U.S.-based hyperscalers continue to lead capacity additions. At the same time, neocloud and sovereign providers are scaling faster in regions where pricing transparency, Graphics Processing Unit (GPU) access, and data control matter more.
- Geographic expansion is becoming more balanced. North America, Europe, and China anchor global AI data center infrastructure today. However, there are numerous projects underway in Asia-Pacific, the Middle East, and urban areas in Africa.
- Sovereign AI is reshaping where data centers are built. Data residency and regulatory pressure are pushing governments to invest in domestic AI infrastructure. This trend is especially visible in China, Europe, South Korea, Africa, and the Middle East.
- Energy access and power density are now strategic constraints. AI data centers demand massive, reliable power. Regions with grid capacity, renewable access, and favorable climates are emerging as preferred locations for deployment.
We are officially in the age of the Artificial Intelligence (AI) data center. Improved accessibility and growing geopolitical competition will make enterprise investment in Generative AI (Gen AI) solutions an operational necessity. The impact on data center operators couldn’t be clearer: infrastructure needs to be optimized for next-generation AI workloads, if it isn’t already.
ABI Research recently undertook a unique study, forecasting active AI-dedicated data center capacity on a country and regional level. Our analysis tells the story of where AI data center demand growth is being driven globally and why.
