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News Abstract
By: PointLine Media Research & Editorial Team
Topic:Business
June 12, 2026
The global market for AI-specific power supply units is poised for significant expansion as data centers struggle to meet the massive energy demands of modern artificial intelligence workloads. Analysts expect the sector to grow from roughly $698 million in 2026 to $6.3 billion by 2036.
This surge represents a compound annual growth rate of 24.6% over the next decade. Major cloud providers and enterprises are driving this demand by upgrading infrastructure to support high-performance computing clusters that require significantly more power than traditional servers.
Hardware manufacturers are responding by shifting toward high-efficiency, high-wattage components. Features such as multi-rail configurations, hot-swappable modules, and liquid-cooling compatibility are becoming standard as operators prioritize operational uptime and thermal management.
The rapid rise of generative AI and large-scale machine learning models has fundamentally altered data center requirements. Traditional power infrastructure is no longer sufficient to handle the dense energy needs of modern GPU clusters, forcing a hardware overhaul across the global digital landscape.
This trend is most pronounced in North America, China, and India, where massive investments in cloud infrastructure are creating a competitive race for more efficient power delivery. As AI continues to scale, power supply reliability has transitioned from a secondary concern to a primary bottleneck for enterprise-level performance.