Optical chips currently offer greater long-term investment potential than optical modules due to scarcity, pricing power, and strategic positioning in AI-driven data center infrastructure.Optical Modu...
Optical modules act as electro-optical converters, bridging electrical signals and optical transmission in data centers. They are critical for AI clusters, with the market growing from ~$16.5B in 2025 to ~$26B in 2026, driven by 800G and 1.6T transceivers . Chinese firms dominate volume, with InnoLight and Eoptolink controlling over 60% of global market share . However, these companies are largely price-takers, earning net margins of 20–38% because they do not control the scarce upstream components like EML laser chips or DSPs . While modules are demand-certain, their profitability is constrained, and valuations are already stretched .
Optical chips, including EML lasers and DSPs, sit upstream in the supply chain and are produced by very few firms globally. For example, Lumentum is the only company shipping 200G/lane EMLs at volume, while Broadcom and Marvell dominate the DSP/switch-silicon layer with gross margins around 68% . These chips capture scarcity rent, giving them durable pricing power and higher profit potential. As AI clusters scale, the bottleneck shifts to data transmission channels, making silicon photonics and co-packaged optics (CPO) technologies increasingly critical . Companies investing in these upstream technologies benefit from structural advantages rather than cyclical volume fluctuations.
The industry is transitioning toward CPO and silicon photonics, embedding optical engines directly into ASICs and switches. Nvidia's Spectrum-X switches exemplify this shift, improving energy efficiency and reliability while reducing reliance on traditional optical modules . This trend suggests that optical modules may face obsolescence in certain high-performance AI applications, whereas optical chips and silicon photonics remain central to next-generation infrastructure.
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