Global server shipments are on track for steady expansion through the end of the decade, fueled by relentless demand for AI infrastructure and sustained cloud investment. Industry estimates point to a compound annual growth rate of about 5.1% from 2025 to 2030, with distinct phases that highlight how AI workloads, enterprise refresh cycles, and next-generation connectivity will shape the market.
The near term looks especially strong. In 2025, large North American cloud service providers are expected to purchase high-end AI servers at an aggressive pace while also maintaining healthy orders for general-purpose servers. That combination should push annual growth higher than earlier forecasts.
Momentum cools in 2026, but it doesn’t stall. As broader corporate IT spending recovers, brand-name server vendors stand to benefit, helping offset softer expansion among hyperscale buyers. The inflection arrives in 2027. Rapid advances in both AI-centric systems and mainstream server technologies position 2027 as the peak year for annual shipment growth across the forecast horizon.
A digestion period follows. Growth is set to moderate during 2028 and 2029 as the market absorbs prior capacity and organizations optimize utilization. Then comes the next catalyst: by 2030, co-packaged optics is expected to reach full maturity. By dramatically improving energy efficiency and bandwidth between compute and networking components, CPO should spark a fresh wave of data center upgrades and replacements.
Beyond headline growth, several structural shifts will define the competitive landscape:
– Vendor mix: Hyperscalers remain the volume leaders, but a rebound in enterprise purchases supports brand vendors, balancing the share between direct ODM supply and established manufacturers.
– Investment cycle: Capital spending among the top North American cloud providers from 2022 through 2027 underpins capacity buildouts for AI training clusters and traditional compute.
– CPU trajectory: The CPU mix will continue to evolve from 2024 to 2030 as performance-per-watt and memory bandwidth become decisive factors for both AI inference and high-density virtualization. Roadmaps through 2027 suggest tighter integration, more cores, and greater IO throughput.
– Memory and storage: From 2026 to 2030, servers will adopt higher-capacity memory and faster storage to keep pace with data-intensive workloads, reducing bottlenecks and improving total cost of ownership.
– AI servers: Shipments of high-end AI servers accelerate through 2026, while more generalized AI systems scale across inference and data analytics use cases. This dual-track demand broadens the addressable market.
– Accelerators and custom silicon: GPU roadmaps through 2029 point to rapid gains in compute density and efficiency. In parallel, top cloud providers are advancing AI ASIC initiatives from 2025 to 2029 to optimize cost, performance, and power for specific workloads.
What this means for the data center ecosystem is clear. AI demand will continue to drive technological innovation, but the market’s biggest wins will come from a balanced approach: scaling high-end training clusters while modernizing general-purpose fleets; accelerating component roadmaps while improving energy efficiency; and timing upgrades to capture breakthroughs like co-packaged optics.
Key takeaways for 2026 and beyond:
– Expect steady global server shipment growth at roughly a mid-single-digit CAGR through 2030.
– 2025 outperforms on strong AI and general-purpose server demand from major cloud providers.
– 2026 slows, but enterprise refresh helps stabilize the market.
– 2027 delivers the strongest annual growth thanks to meaningful advances across AI and standard server platforms.
– 2028–2029 moderate as the market consolidates gains.
– 2030 ushers in a new upgrade cycle as co-packaged optics reaches maturity and drives significant energy savings.
Organizations planning their infrastructure strategy should align refresh cycles with these milestones, prioritizing power-efficient platforms, scalable memory and storage architectures, and a flexible accelerator strategy that spans GPUs and custom AI silicon. This approach positions data centers to capture performance gains today while staying ready for the next wave of innovation.
