Agentic AI and Inference Set to Drive Front-End Network Growth

According to a recently published report by Dell’Oro Group, the trusted source for information about the telecommunications, networks, and data center industries, the rise of agentic AI and inference workloads is driving new demand and introducing network requirements that differ from those associated with training workloads. This shift is leading to significant expansion of front-end networks to support the broader buildout of AI infrastructure. We estimate that more than half of the growth in Front-end Data Center Switch sales over the next few years will be driven by AI-related opportunities. These deployments represent net-new expansion opportunities for both established vendors and new market entrants.

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“As AI infrastructure shifts from large-scale training to inference and agentic workflows, there is an increasing demand for general-purpose infrastructure, and expanded front-end network requirements,” said Sameh Boujelbene, Vice President at Dell’Oro Group. “The traditional assumption of a 10-to-1 ratio of XPU to CPU no longer applies across all deployments, with some environments moving closer to a 1-to-1 ratio. CPUs are becoming increasingly important for workloads orchestration and data movement. Additionally, networking for KV caching storage rack is also needed for inferencing applications,” added Boujelbene.

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Additional highlights from the Data Center Switch—Front-end Networks 5-Year July 2026 Forecast Report:

• AI-related front-end network buildouts will spearhead 800 Gbps and 1.6 Tbps adoption in front-end networks.
• Accton, Arista, Celestica, Cisco, HPE/Juniper, H3C, Huawei, NVIDIA and others—emerge as the primary beneficiaries of this growth.

The Dell’Oro Group Data Center Switch – Front-End Networks 5-Year Forecast Report provides historical data and forecasts covering manufacturer revenue, port shipments, average selling prices, and software revenue. Detailed tables analyze form factors, customer segments, regions, SerDes evolution, chip units, high-speed attach rates, and AI versus non-AI switch ports.

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