Data Center Chip Market Size to Hit $56.80 Billion by 2035 | SNS Insider

A forecast projects the U.S. data center chip market to reach $15.27B by 2035, while Europe is expected to grow to $17.15B, supported by rising AI infrastructure investment. Growth is attributed to hyperscale data center expansion, enterprise AI adoption, and deployment of high-performance GPUs and AI accelerators.

Analysis

This is less a catalyst for immediate earnings revisions than a confirmation that AI infrastructure spend still has a long runway. The first-order winners are not just the headline GPU vendors; the more persistent upside likely accrues to constrained parts of the stack where pricing power is strongest — advanced packaging, HBM memory, networking, and power/cooling. Those segments can monetize each incremental rack more reliably than merchant silicon, which is exposed to customer concentration and eventual custom-ASIC substitution.

The second-order loser is any supplier whose exposure is to generic server demand rather than AI density. As hyperscalers optimize capex per token, they will keep pushing toward lower-cost inference architectures and in-house silicon, which can cap upside for pure-play accelerator vendors beyond the next 1-3 quarters even if the TAM keeps expanding. For Europe specifically, the binding constraint is grid access and deployment friction, so the cleaner beneficiaries are infrastructure enablers, not just chip designers.

The contrarian point is that a 2035 market-size forecast is too far out to move near-term multiples unless it changes 2025-26 capex guides. Consensus is likely overpaying for the secular narrative while underestimating power availability, export controls, and hyperscaler ROI discipline. If next earnings season shows data-center capex flattening, gross margins compressing, or lead times normalizing, the current AI premium can unwind quickly; conversely, another round of upward capex revisions is the real bullish catalyst.

Key Decisions for Investors

• Long AVGO vs short INTC for 3-6 months: best relative way to express accelerating AI infrastructure spend while fading legacy datacenter share loss; risk/reward improves on any pullback in AVGO.
• Add to VRT or ETN on weakness over the next 1-3 months: power delivery and thermal management are the underowned bottlenecks, and they should compound even if GPU unit growth slows.
• Use NVDA only on earnings-driven dips, not on TAM headlines: the trade works if hyperscaler capex is revised up, but the setup is vulnerable if customers pivot further toward custom silicon.
• No standalone long in GPUS on this article alone; treat it as a watch item until there is audited evidence of AI-related bookings or a specific contract win.
• Set a catalyst alert for the next hyperscaler capex print and export-control headlines; if data-center capex or AI gross margins decelerate, trim semiconductor longs quickly.