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AI server shipment

Global AI server shipments are projected to grow over 28% year-on-year in 2026, driven by GPU and ASIC-based systems, with North America leading the market.Market Growth and Forecast

Global AI server shipments are expected to surge by more than 28% YoY in 2026, outpacing the overall server market growth of 12.8% YoY . This growth is fueled by the rapid expansion of AI inference services, generative AI applications, and large-scale cloud infrastructure investments. The global AI server market is projected to reach USD 352.28 billion by 2034, growing from USD 39.23 billion in 2025 at a CAGR of 27.62% . North America remains the largest market, while Asia-Pacific is the fastest-growing region .

Hardware and Technology Trends
  • GPU-based servers dominate the market, accounting for approximately 69.7% of shipments, with NVIDIA's GB300 and VR200 platforms driving most deployments .
  • ASIC-based AI servers are gaining traction, projected to reach 27.8% of shipments, with Google and Meta expanding in-house ASIC development for AI inference .
  • Cooling technologies are evolving, with air-cooled systems still widely used, while liquid and hybrid cooling are increasingly adopted for high-density AI workloads .
  • Form factors: Rack-mounted servers dominate due to scalability and modularity, while blade servers are growing rapidly for converged AI infrastructure .
Key Drivers of Shipment Growth
  • Cloud Service Provider (CSP) investments: Google, Microsoft, AWS, Meta, and Oracle are increasing capital expenditures by around 40% YoY in 2026 to expand AI infrastructure and replace older servers .
  • Generative AI and LLM workloads: The rise of AI agents, Copilot, and LLaMA-based applications is shifting focus toward inference services, increasing demand for both dedicated AI servers and general-purpose servers .
  • Edge AI deployment: Organizations are deploying AI servers closer to data sources for real-time processing, boosting demand for compact, energy-efficient servers .
  • High-performance computing needs: AI training and inference require GPUs, TPUs, and high-bandwidth memory, driving specialized server adoption .
Regional Insights
  • North America: Largest market share, driven by hyperscale cloud providers and government AI initiatives .
  • Asia-Pacific: Fastest-growing region, supported by industrial automation, smart city projects, and semiconductor manufacturing capacity .
  • Europe: Emerging growth due to AI adoption in enterprise and public sectors .
Market Challenges
  • High infrastructure costs and power consumption remain significant barriers .
  • Skilled workforce shortage for AI server deployment and maintenance is a limiting factor .
  • Supply chain risks from geopolitical instability and component shortages can affect shipment timelines .
Summary

AI server shipments are experiencing rapid expansion, with GPUs leading current deployments and ASICs growing fastest in adoption. North American CSPs are the primary drivers, while Asia-Pacific is emerging as a key growth region. The market is shaped by generative AI, edge computing, and high-performance AI workloads, with continued innovation in server architecture, cooling, and form factors supporting this surge .

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Server Shipment

Description Server Shipment Published by TRENDFORCE TrendForce Frequency Quarterly Next Update

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Technical note

This reference is intended for preliminary ODN and passive infrastructure research. Topology, split ratio, box or cabinet capacity, closure rating, cable type, test limits and applicable standards must be verified for the specific project.

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