STMicroelectronics Raises 2026 Data Center Revenue Target to $1B, Eyes Doubling in 2027 Amid AI Boom

STMicroelectronics has significantly increased its 2026 data center revenue forecast to about $1 billion, nearly doubling its previous guidance, and suggests it could double again in 2027.

This revision is driven by explosive growth in AI infrastructure, evidenced by record sales from Nvidia and increased spending by cloud giants like Microsoft and Meta.

The company's confidence is supported by its own technological readiness, including key products for optical interconnects and power management, and a major partnership with AWS.

STMicroelectronics has significantly raised its revenue forecast for its data center business, signaling strong confidence in the ongoing AI infrastructure boom.

This isn't just a guess; the decision is backed by a powerful combination of surging market demand and ST's own technological readiness. The entire tech world is racing to build massive data centers for AI, and ST provides the critical 'picks and shovels' for this modern-day gold rush.

Let's look at the demand side first. The clearest signal comes from Nvidia, whose record-breaking data center sales confirm that the appetite for AI chips is extraordinary. But these powerful chips need a home. That's where hyperscalers—tech giants like Microsoft, Meta, and Amazon Web Services (AWS)—come in. They are massively increasing their capital expenditures (capex) to build and equip the necessary data centers, creating a huge downstream market for components.

So, what does STMicroelectronics sell into this frenzy? They provide crucial supporting hardware that makes these AI factories possible. First, as data centers grow, they need faster ways to connect thousands of chips, which is where ST's optical interconnects come in. Second, these AI servers consume enormous amounts of power. ST is a leader in high-efficiency power solutions, including new GaN devices and 800-volt systems that help data centers run more efficiently and pack more computing power into the same space.

Finally, securing a multi-year, multi-billion dollar deal with AWS provides a stable, long-term customer, de-risking their production ramp-up. It's this perfect storm—validated demand from chipmakers, massive spending from cloud builders, and ST's own portfolio of essential technologies—that gives the company the confidence to nearly double its 2026 forecast and aim even higher for 2027.

Capex: Capital expenditure, or the money a company spends to buy, maintain, or upgrade physical assets like buildings and equipment.
Hyperscaler: A large cloud service provider that can offer massive-scale computing services (e.g., Amazon Web Services, Microsoft Azure, Google Cloud).
GaN (Gallium Nitride): A semiconductor material that allows for higher efficiency and power density in electronics compared to traditional silicon, making it ideal for power supplies in AI servers.

STMicroelectronics Raises 2026 Data Center Revenue Target to $1B, Eyes Doubling in 2027 Amid AI Boom

STMicroelectronics has significantly increased its 2026 data center revenue forecast to about $1 billion, nearly doubling its previous guidance, and suggests it could double again in 2027.

This revision is driven by explosive growth in AI infrastructure, evidenced by record sales from Nvidia and increased spending by cloud giants like Microsoft and Meta.

The company's confidence is supported by its own technological readiness, including key products for optical interconnects and power management, and a major partnership with AWS.

STMicroelectronics has significantly raised its revenue forecast for its data center business, signaling strong confidence in the ongoing AI infrastructure boom.

Capex: Capital expenditure, or the money a company spends to buy, maintain, or upgrade physical assets like buildings and equipment.
Hyperscaler: A large cloud service provider that can offer massive-scale computing services (e.g., Amazon Web Services, Microsoft Azure, Google Cloud).
GaN (Gallium Nitride): A semiconductor material that allows for higher efficiency and power density in electronics compared to traditional silicon, making it ideal for power supplies in AI servers.