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6254.T

Nomura Micro Science — AI supply-chain exposure

Nomura Micro Science · 6254.T· Materials· Japan· $3B mkt cap
The quick read

The model reads Nomura Micro Science primarily as a producer in Energy. Its largest modeled sensitivity is a shock at Silicon wafer supply (constraint β 10).

34
Chain weight /100
2
Parts exposed
2
Layers spanned
10
Constraint β
Nomura Micro Science across the stack
EnergyChips

The structural read · model-generated

The model reads Nomura Micro Science primarily as a producer in Energy. Its largest modeled sensitivity is a shock at Silicon wafer supply (constraint β 10).

Where it's exposed

Chain footprint by layer

Energy
57%
Chips
43%

How it participates

Producer
57%
Supplier
43%

Every part Nomura Micro Science touches

Critical materials it leans on

WaterPhotoresistHigh-purity quartzHydrofluoric acid / anhydrous HFSilane (SiH4)

Geographic concentration

Taiwan StraitTaiwanTainan — Southern Taiwan Science ParkNetherlandsKumamoto — Kyushu 'Silicon Island'

Frequently asked

What is Nomura Micro Science's role in the AI supply chain?

The model reads Nomura Micro Science primarily as a producer in Energy. Its largest modeled sensitivity is a shock at Silicon wafer supply (constraint β 10).

Which parts of the AI value chain is Nomura Micro Science exposed to?

Nomura Micro Science is mapped to 2 parts of the AI value chain, most strongly Water availability, Foundry capacity. It sits primarily in the Energy layer as a producer.

Does Nomura Micro Science own an AI bottleneck?

Not in the current model — Nomura Micro Science is exposed to constrained parts but sits downstream of them rather than producing them.

What is Nomura Micro Science's biggest AI supply-chain risk?

Its largest modeled sensitivity is a shock at Silicon wafer supply (constraint β 10). 4 nodes depend on it; pressure 61/100

Who are Nomura Micro Science's closest peers by AI-chain position?

By shared chain dependencies: TOPPAN Holdings, Dai Nippon Printing, Photronics, Carl Zeiss SMT.

Go live on Nomura Micro Science

  • The interactive dependency graph and full company Nexus
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  • Track it in your Portfolio Cockpit — positions, P&L, valuation, thesis

model v0.7.0 · research, not advice

Chain analytics are illustrative, order-of-magnitude estimates from our model of the AI value chain — not investment advice. Market cap sourced 2026-07-04.

as of 2026-07-17Medium confidence model v0.7.0
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