Summary:
- Global shipments of AI servers are projected to increase significantly by 2026, driven by rising inference workloads, cloud investments, and the adoption of custom silicon.
- North American hyperscalers are heavily investing in AI-focused data center expansion, emphasizing inference-heavy services and AI copilots.
- The shift from training to inference workloads is influencing procurement strategies, with GPUs remaining dominant but ASIC-based AI servers gaining market share.
Unique Article:
The global landscape of AI server shipments is poised for a substantial acceleration in 2026, fueled by a combination of factors such as the surge in inference workloads, renewed cloud investment cycles, and the growing embrace of custom silicon. TrendForce’s latest market research indicates that worldwide AI server shipments are anticipated to grow by over 28% year over year, surpassing the broader server market’s expected expansion of 12.8% during the same period.
This momentum is attributed to a fundamental shift in how cloud service providers deploy AI infrastructure and capitalize on artificial intelligence at scale. North American hyperscalers, in particular, are channeling significant capital into AI-focused data center expansions. Cloud service providers are intensifying their investments to support inference-heavy services like AI copilots, autonomous agents, and generative AI platforms that are now gaining mass adoption.
The transition from training to inference workloads is reshaping procurement strategies across the industry. Cloud providers are increasingly prioritizing inference as a commercial use case, deploying AI agents, LLaMA-derived applications, and upgraded productivity assistants at scale. This shift is influencing the types of servers being purchased, with a focus on general-purpose servers to handle the massive daily inference traffic generated by services like Gemini and Copilot.
Moreover, the surge in AI server shipments is also driven by the aging of older infrastructure acquired during the cloud investment boom of 2019-2021, prompting the replacement of assets and further fueling shipment growth. Capital expenditure among the top five North American cloud providers is expected to rise by approximately 40% year over year in 2026, with investments directed towards new AI infrastructure, asset replacements, and the expansion of regional and sovereign cloud deployments.
In terms of technology, GPUs are projected to maintain their dominance, accounting for nearly 70% of AI server shipments. While systems based on NVIDIA’s GB300 platform are expected to lead in volumes, ASIC-based AI servers are anticipated to represent nearly 28% of shipments in 2026, marking the highest share since 2023. Google and Meta are at the forefront of this transition, leveraging in-house ASICs to enhance efficiency and control costs.
In conclusion, the landscape of AI server shipments is undergoing a significant transformation, with a shift towards inference workloads and the growing adoption of custom silicon. While GPUs will continue to hold a majority share, the rise of ASIC-based AI servers signifies a maturing custom silicon strategy among hyperscalers, paving the way for a dynamic and evolving AI server market in the coming years.
