ASML Drives Nvidia AI Boom as EUV Lead Reshapes Capex Cycle
ASML's EUV leadership underpins Nvidia's AI surge as the Dutch lithography champion reports blockbuster Q4 2025 bookings and an optimistic 2026 outlook. The industry's move toward extreme ultraviolet systems is fueling a multi-year capex cycle across AI-focused chipmakers.
Key Takeaways
- ASML commands about 90% of the lithography market, with analysts flagging potential monopoly risk on next-gen EUV
- High-NA EUV prices range from roughly 320-400 million euros; low-NA around 220 million euros, per analyst estimates
- Q4 2025 bookings totaled 13.2 billion euros, with EUV bookings of 7.4 billion euros
- In 2025, ASML sold 48 EUV systems and generated 11.6 billion euros in EUV revenue
- 2026 net sales guidance 34-39 billion euros, up from 32.7 billion in 2025, with High-NA ramp expected in 2027-2028
People Involved
- No specific individuals mentioned
Entities Involved
- ASML Holding N.V. (ASML)Global leader in EUV lithography systems
- NVIDIA CorporationAI chipmaker driving AI compute demand
- Taiwan Semiconductor Manufacturing Company (TSMC)Foundry using ASML EUV machines
- Nikon Corp.Lithography supplier for older nodes
- Canon Inc.Lithography supplier for older nodes
- Intel CorporationEarly adopter for High-NA EUV high-volume manufacturing
- Bank of AmericaAnalyst firm cited on next-gen EUV monopoly risk
MarketMoodz Analysis
For investors, ASML's results map directly to the pace of AI hardware buildout. ASML commands about 90% of lithography, and Bank of America analysts flag a potential monopoly risk on next-gen EUV, giving the company outsized influence on Nvidia's AI chip ramp.
The 2026 outlook shows demand intact as AI adoption accelerates. The High-NA ramp is a multi-year process, with Intel named as an early adopter, implying a gradual expansion of capacity and potential bottlenecks if demand exceeds supply.
What to watch next: actual 2026 orders, the pace of High-NA adoption into 2027-2028, and any shifts in the supplier mix or capex cycles as Nvidia, TSMC, and other fabs scale AI workloads.
Source: Original Article
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