Bank of America expects Ciena revenue to rise 35% to 40% in 2026 on AI infrastructure demand

Bank of America said it expects Ciena Corporation’s revenue to grow by 35% to 40% in calendar 2026, pointing to demand for artificial intelligence infrastructure that, in the bank’s view, is running ahead of available supply in parts of the optical networking market.

The call, reported by Yahoo Finance through Proactive Investors, frames the outlook around an imbalance between how fast hyperscalers and other large buyers are expanding data center and interconnect capacity for AI workloads, and how quickly vendors and their upstream suppliers can deliver the hardware needed for that expansion. In such a setup, companies that provide optical networking gear can see demand pull forward and order patterns strengthen.

Ciena, based on how it is described in market coverage as an optical networking equipment maker, sells systems and software used to move data across and between networks. In practical terms, that includes the transport and switching layers that help operators increase bandwidth, manage traffic, and connect high-capacity computing sites. As AI drives higher data movement and faster links across networks, optical equipment is often central to scaling without bottlenecking connections.

Bank of America’s forecast of a 35% to 40% revenue gain is not presented as a company guidance figure. It is an analyst projection, and the reporting notes the potential for growth even as it emphasizes supply constraints. That distinction matters because investor expectations can shift quickly if order timing, customer capex, or supply chain throughput changes.

For Ciena specifically, the story that typically underpins large revenue swings in the optical space is that a wave of data center and network modernization can raise both unit demand and the share of spending allocated to performance upgrades. Optical networking equipment purchases often occur in project-like cycles tied to network buildouts, which can create periods where demand is unusually strong relative to baseline expectations.

In market terms, an “AI infrastructure demand” narrative generally means more than just buying more servers. It often includes expanding the network that supports training and inference, increasing interconnect distances and capacities, and upgrading the physical layer that carries large volumes of traffic. When those expansions happen faster than the industry’s ability to manufacture and ship components, analysts may describe the environment as tight or undersupplied.

The Proactive Investors report does not provide additional operational detail on Ciena’s backlog, pricing, or customer mix, nor does it lay out what proportion of the projected growth is expected from new orders versus timing effects from existing contracts. It also does not specify which parts of the supply chain the bank believes are most constrained, or how long that imbalance might last.

Investors and industry watchers will likely focus next on whether hyperscaler spending schedules and network procurement plans remain aligned with the 2026 timeframe implied by the forecast, and whether supply conditions ease or persist. If the tightness continues, it could support sustained delivery and revenue recognition. If it loosens or customer projects are delayed, the path to the upper end of the 35% to 40% range could narrow.