Cignal AI: Datacom Optical Component Revenue Reached Record $7.7 Billion in 1Q26

Datacom optics revenue hit a new high

Cignal AI reported that datacom optical component revenue reached a record $7.7 billion in the first quarter of 2026, doubling from a year earlier as hyperscaler AI investment reshaped demand for high-speed optical networking.

The market research firm said in its 1Q26 Optical Component Report that datacom revenue and telecom optical component revenue both set records during the quarter. Cignal AI put telecom optical component revenue at $2.0 billion, while datacom revenue reached $7.7 billion.

Lightwave Online, citing Cignal AI’s findings, also reported the same figures and described the market shift as being driven by hyperscaler investment in AI infrastructure.

400G-and-faster shipments surged

Cignal AI said shipments of 400G-and-faster optical modules rose 145% year over year in 1Q26. That growth reflects a rapid shift in data center networking demand toward higher-bandwidth links used in AI computing environments and large-scale cloud deployments.

According to Cignal AI’s report page, the quarter included continued growth for 800GbE optics and volume shipments of 1.6TbE products. Lightwave Online separately reported that demand was accelerating for 1.6TbE and 800ZR+ optics, again citing Cignal AI’s market data.

The findings point to a market in which older high-speed products remain important, but the center of growth is moving to newer generations of optical modules. Cignal AI’s public summary identifies 800GbE growth and 1.6TbE volume shipments as notable features of the quarter.

AI spending is changing the optical component mix

Cignal AI attributed the revenue jump to hyperscaler AI investment, saying that spending by large cloud operators has “radically” reshaped the optical components market. The firm’s public materials do not frame the increase as a broad-based networking cycle alone; instead, they tie the sharp datacom expansion to AI-related infrastructure needs.

That distinction matters for optical component suppliers because AI data centers require dense, high-capacity interconnects across servers, switches, accelerators, and storage systems. Cignal AI’s reported 145% year-over-year increase in 400G-and-faster module shipments suggests that buyers are prioritizing higher-speed networking hardware rather than simply expanding lower-speed capacity.

Lightwave Online’s coverage, based on Cignal AI’s data, also noted rising demand for 800ZR+ optics. These products are used for high-capacity optical transport and can support the expansion of data center interconnection and long-reach connectivity needs associated with large cloud networks.

Telecom optics also reached a record

Although the headline figure was the $7.7 billion datacom result, Cignal AI also reported record telecom optical component revenue of $2.0 billion in 1Q26. That indicates the market strength was not confined to data center modules, even if datacom remained the larger and faster-moving category in the firm’s public summary.

Cignal AI’s materials place both figures in the context of its quarterly optical component research. The firm’s 1Q26 report page identifies record datacom and telecom revenue, 800GbE growth, and 1.6TbE volume shipments as key market developments.

What to watch next

The next question for the sector is whether 1.6TbE shipments continue to scale after entering volume production, and how quickly demand shifts from 800GbE toward newer generations of optical modules. Cignal AI’s 1Q26 data shows that 400G-and-faster products are already expanding rapidly, but the mix within that category will be important for suppliers, buyers, and network planners.

For now, the source-backed picture is clear: Cignal AI says hyperscaler AI investment pushed datacom optical component revenue to a record $7.7 billion in 1Q26, while 400G-and-faster module shipments rose 145% year over year. Lightwave Online’s coverage corroborates those figures and highlights the same acceleration in advanced optical networking demand.