The leading compliance pressure in North America is still constrained by rising costs
Compared to China, North America leads in data center capacity and revenue, accounting for over 40% of the global market share.
PwC predicts that the global data center industry is experiencing exponential growth, with an expected investment scale of $1 trillion by 2027, AI、 Large model training, edge computing and green energy transformation are the main driving forces. This trend is particularly evident in North America.
Driven by AI, the computing power in North America, mainly in the United States, Canada, and Mexico, is growing rapidly. At the same time, the demand for electricity has surged. In 2023, the electricity consumption of data centers in the United States will account for 4.4% of the country’s total electricity generation, and is expected to increase to 8% by 2028. In the next five years, the electricity demand for data centers in the United States is expected to increase by 50% to 150%. Meanwhile, Canada’s data center electricity demand is expected to increase from 750MW to 1160MW by 2029.
The North American data center market is dominated by three ultra large scale operators, Microsoft, Google, and Meta, accounting for 78% of North American AI computing power purchases.
Industry analysis predicts that by 2035, the total power load of data centers in the United States will increase from approximately 34.7GW in 2024 to 78.2GW, accounting for 8.6% of the country’s electricity demand. AI data centers will become the main driving force for electricity demand growth.
The reporter learned that the distribution of data centers in North America mainly presents characteristics such as a 49% concentration in the PJM region, the rise of emerging markets in the western region, accelerated layout in the Canadian polar region, and the hub of the Mexican border.
The PJM power grid coverage area in the northeastern United States (including the Virginia “Data Center Corridor”) carries nearly half of the data center capacity, benefiting from stable power supply and policy support in the region.
In the western market, Oregon and Nevada have attracted large-scale projects due to their abundant renewable energy. Tesla Dojo supercomputing has been deployed to the charging network in the United States, realizing the coverage of edge computing nodes.
Quebec, Canada is utilizing hydroelectric resources to build green data centers, while Microsoft has deployed modular data centers within the Arctic Circle to reduce cooling energy consumption.
The Mexican border is showing a trend towards becoming a hub. Northern Mexican cities have become a hot spot for multinational corporations to choose backup data center locations due to their land cost advantage.
When it comes to the current status of data center technology applications in North America, some experts suggest that there are three main characteristics:
Firstly, on the heterogeneous architecture of GPU clusters, Amazon has deployed a supercomputing cluster based on NVIDIA H100, with a single cluster containing 20000 GPUs, supporting distributed training of billions of parameter large models, and optimizing latency to the subtle level.
Secondly, on the edge AI inference nodes, Microsoft Azure Stack Edge has deployed over 800 edge sites in North America, sinking AI inference capabilities to within 5 kilometers of the data source and reducing autonomous driving data processing latency from 200ms to 15ms.
Thirdly, on the cloud native AI development platform, Google Vertex AI integrates over 300 pre trained models and supports automatic ML pipeline orchestration, reducing the development cycle of enterprise AI applications from 6 months to 2 weeks, with a North American financial customer adoption rate of 73%.
Despite the rapid development of the North American data center industry, energy consumption, sustainability, compliance regulation, and cost control remain long-term issues, and the industry needs to find a balance between technological innovation and green transformation.
