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ASM International N.V.

ASM · Euronext Amsterdam

Market cap (USD)$57.4B
SectorTechnology
IndustrySemiconductors
CountryNL
Data as of
Moat score
74/ 100

Weighted average of segment moat scores, combining moat strength, durability, confidence, market structure, pricing power, and market share.

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Overview

ASM International designs deposition equipment and process solutions for semiconductor wafer processing, led by atomic layer deposition and a growing silicon epitaxy position. Q1 2026 revenue was EUR862.5 million, with Spares & Services contributing about 22% and equipment making up the balance. Current investor materials describe ASM as the ALD leader with more than 55% share, while Epi remains a second growth engine tied to GAA, DRAM, and advanced-node complexity. The moat comes from process know-how, layer-by-layer customer qualification, a substantial ALD patent estate, and expanding customer R&D engagements. Key risks are customer multi-sourcing, rival process catch-up, export controls, and semiconductor capex cyclicality.

Primary segment

Spares and services

Market structure

Quasi-Monopoly

Market share

HHI:

Coverage

3 segments · 6 tags

Updated 2026-07-01

Segments

ALD equipment

Single-wafer atomic layer deposition (ALD) equipment for semiconductor manufacturing

Revenue

Structure

Quasi-Monopoly

Pricing

Share

55%-58% (reported)

Peers

AMAT8035.TLRCX

Silicon epitaxy equipment

Silicon epitaxy (Si Epi) equipment for advanced logic/foundry and memory manufacturing

Revenue

Structure

Oligopoly

Pricing

Share

14%-18% (reported)

Peers

AMAT8035.T

Spares and services

Aftermarket spares and services for ASM deposition equipment installed base

Revenue

21.7%

Structure

Quasi-Monopoly

Pricing

Share

Peers

Moat Claims

ALD equipment

Single-wafer atomic layer deposition (ALD) equipment for semiconductor manufacturing

Product-level revenue and operating-profit shares for ALD are not separately disclosed; record uses company-disclosed ALD market-share evidence.

Quasi-Monopoly

Learning Curve Yield

Supply

Strength

Strength 5 of 5

Durability

Durability 3 of 3

Confidence

Confidence 4 of 5

Evidence

Evidence 2 of 5

Process/chemistry know-how accumulated over many technology generations; leadership share suggests superior performance/yield in advanced-node ALD layers.

Learning Curve Yield moat: definition, examples, and stocks

Erosion risks

  • Competitor process catch-up (Applied Materials, Tokyo Electron)
  • Process substitution reduces ALD steps per wafer (alternative deposition/etch integration)
  • Customer in-sourcing of process modules or tighter co-optimization with rival toolsets

Leading indicators

  • ALD market share trend (e.g., TechInsights)
  • Share of revenue from advanced logic/foundry and HBM-related DRAM layers
  • R&D intensity and cadence of new ALD layer wins

Counterarguments

  • Large fabs can qualify multiple suppliers to reduce dependence
  • Some ALD sub-applications may commoditize as recipes mature

Design In Qualification

Demand

Strength

Strength 4 of 5

Durability

Durability 3 of 3

Confidence

Confidence 4 of 5

Evidence

Evidence 2 of 5

Tool-of-record positions are won layer-by-layer; qualification cycles and yield risk make swapping ALD toolsets costly once qualified in high-volume production flows.

Design In Qualification moat: definition, examples, and stocks

Erosion risks

  • Customers standardize process flows to enable easier multi-sourcing
  • Node transition delays or architecture shifts reduce re-qualification cadence

Leading indicators

  • Announcements of multi-source qualifications by leading fabs
  • Share gains/losses in new-node layer additions (GAA, HBM, advanced packaging)

Counterarguments

  • For mature nodes, switching/qualification costs are lower and pricing becomes more competitive
  • Some customers may accept short-term yield hits to diversify suppliers

IP Choke Point

Legal

Strength

Strength 3 of 5

Durability

Durability 2 of 3

Confidence

Confidence 3 of 5

Evidence

Evidence 2 of 5

Large and growing patent estate, including hundreds of ALD-related patents; helpful defensively and to protect key tool features, but rivals can sometimes design around.

IP Choke Point moat: definition, examples, and stocks

Erosion risks

  • Patent expirations and workarounds over time
  • Cross-licensing among large equipment suppliers

Leading indicators

  • Material IP litigation outcomes
  • Patent grant/expiration cadence in key ALD families

Counterarguments

  • Many equipment patents are narrow and can be engineered around
  • Process know-how can matter more than formal IP in tool performance

Silicon epitaxy equipment

Silicon epitaxy (Si Epi) equipment for advanced logic/foundry and memory manufacturing

Product-level revenue and operating-profit shares for silicon epitaxy are not separately disclosed; record uses market-share evidence and management commentary.

Oligopoly

Design In Qualification

Demand

Strength

Strength 4 of 5

Durability

Durability 2 of 3

Confidence

Confidence 3 of 5

Evidence

Evidence 1 of 5

Epitaxy steps are tightly tied to device performance; once qualified for a given node/device architecture, switching toolsets can be costly and risky.

Design In Qualification moat: definition, examples, and stocks

Erosion risks

  • Incumbents defend share with aggressive pricing and bundled deals
  • Process standardization reduces differentiation across vendors

Leading indicators

  • Epi share progression vs stated targets
  • Disclosures of Epi wins in leading-edge DRAM and logic/foundry ramps

Counterarguments

  • Epi markets can be more competitive than ALD in some layers
  • Customers may dual-source epitaxy for bargaining power

Learning Curve Yield

Supply

Strength

Strength 3 of 5

Durability

Durability 2 of 3

Confidence

Confidence 3 of 5

Evidence

Evidence 1 of 5

Process learning and metrology integration improve uniformity and defectivity; share gains depend on executing at leading-edge specs.

Learning Curve Yield moat: definition, examples, and stocks

Erosion risks

  • Slower adoption of GAA or alternative transistor architectures
  • Competitors match performance specs, compressing differentiation

Leading indicators

  • Epi gross margin/mix commentary (if disclosed)
  • R&D roadmap updates tied to GAA and HBM process requirements

Counterarguments

  • Epi share targets may not materialize if customers consolidate spend with larger tool vendors
  • Yield/performance parity can reduce switching costs over time

Spares and services

Aftermarket spares and services for ASM deposition equipment installed base

Revenue_share is Q1 2026 Spares & Services revenue of EUR186.8 million divided by total revenue of EUR862.5 million; operating profit is not disclosed by this service category.

Quasi-Monopoly

Installed Base Consumables

Demand

Strength

Strength 4 of 5

Durability

Durability 3 of 3

Confidence

Confidence 4 of 5

Evidence

Evidence 2 of 5

Growing installed base of tools drives recurring spare parts, upgrades, and service revenue; OEM parts and process support are sticky once tools are in fabs.

Installed Base Consumables moat: definition, examples, and stocks

Erosion risks

  • Third-party service providers and refurbished parts
  • Customers negotiate broader service terms during downturns

Leading indicators

  • Spares & services revenue growth vs equipment shipments
  • Attach rate of preventative maintenance / service contracts

Counterarguments

  • Some customers self-maintain or qualify third-party parts for non-critical components
  • Service revenues are still exposed to fab utilization cycles

Service Field Network

Supply

Strength

Strength 3 of 5

Durability

Durability 3 of 3

Confidence

Confidence 3 of 5

Evidence

Evidence 1 of 5

Global service capabilities improve uptime and cost of ownership, reinforcing customer preference for OEM support.

Service Field Network moat: definition, examples, and stocks

Erosion risks

  • OEM service commoditization as tools mature
  • Localized service competition in major fab regions

Leading indicators

  • Customer uptime/MTBF metrics (if disclosed)
  • Service gross margin trend (if disclosed)

Counterarguments

  • Leading fabs may build internal teams that reduce reliance on OEM field service
  • Some service elements can be sourced locally at lower cost

Evidence

other

leading >55% market share in ALD

Leadership implies learning-curve advantages in recipes, throughput, and yield.

other

advanced memory solutions

Supports ongoing advanced-node customer engagement where ALD process know-how matters.

news

additional ALD and Epi layers for upcoming logic/foundry nodes

Indicates layer-specific customer R&D engagements that typically precede qualification and tool-of-record decisions.

other

expanding R&D engagement with customers

Supports that customer engagement is widening for future technology nodes.

other

we currently have over 2,953 patents in force.

Signals scale of the IP portfolio.

Showing 5 of 12 sources.

Risks & Indicators

Erosion risks

  • Competitor process catch-up (Applied Materials, Tokyo Electron)
  • Process substitution reduces ALD steps per wafer (alternative deposition/etch integration)
  • Customer in-sourcing of process modules or tighter co-optimization with rival toolsets
  • Customers standardize process flows to enable easier multi-sourcing
  • Node transition delays or architecture shifts reduce re-qualification cadence
  • Patent expirations and workarounds over time

Leading indicators

  • ALD market share trend (e.g., TechInsights)
  • Share of revenue from advanced logic/foundry and HBM-related DRAM layers
  • R&D intensity and cadence of new ALD layer wins
  • Announcements of multi-source qualifications by leading fabs
  • Share gains/losses in new-node layer additions (GAA, HBM, advanced packaging)
  • Material IP litigation outcomes

Keep the research going

Created 2025-12-29
Updated 2026-07-01

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