Product specification & architecture (process step)

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last updated 2026-06-20 · +2 sources in last 30d
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Step 1 of 56 in the semiconductor flow (Design). Next: Semiconductor IP licensing (process step)

What this step does

This is the blank-sheet decision about what the chip is: what it must compute, at what power and cost, on which process node, in what package. It produces the product spec and the micro-architecture before any RTL is written. Most of the value here is human, not tooling. The sub-processes:

Where it sits and why it matters

This is the highest-leverage step in the entire 56-stage flow. An architecture mistake here cannot be fixed downstream by a better tapeout or a tighter etch. The value-capturing layer is not a tool you buy off the shelf; it is the engineering judgement of an internal architecture team or, increasingly, of a merchant ASIC design house that sells “spec-in to silicon” as a service. The economic story of this step is the rise of the design-services / custom-silicon business, which sits between the chip owner (a hyperscaler, an OEM, a fabless startup) and the foundry.

Equipment market

There is no fab-style capital equipment at this step. The closest “tool” layer is EDA architecture and verification software (virtual prototyping, high-level synthesis, power/performance estimation), which is a sub-slice of the ~$15-17bn EDA market and is treated on EDA & Design Tools. The bigger commercial layer at this step is the design-services revenue pool itself. Estimates vary widely and the report-mill TAMs should be distrusted; a defensible range is ~$11-15bn in 2025 growing at roughly 8-12% CAGR for general ASIC design services [1], with the AI-custom-silicon sub-segment growing far faster (below).

VendorHQEst. share of merchant ASIC/design-servicesNotable
Broadcom (custom silicon)US~60-70% of custom AI ASICGoogle TPU, Meta MTIA; ~70% of custom AI accelerator rev [2]
Marvell (custom silicon)US~25% of custom AI ASICAWS Trainium 2, >50 sockets, $75bn pipeline [2][3]
AlchipTaiwanleading pure-play$1.62bn FY24 rev, ~60% from AWS Trainium 1 [4]
GUC (Global Unichip)Taiwanleading advanced-nodeTSMC-affiliated, HBM/UCIe/3D IP [5]
SocionextJapanmid-tierYen221bn ($1.5bn) FY24 net sales [6]
FaradayTaiwanmid-tierNT$11.1bn (~$345m) FY24, 45.7% gross margin [7]

Concentration note: the headline-grabbing AI slice is a duopoly (Broadcom + Marvell ~80%+ of hyperscaler custom AI silicon per Bloomberg Intelligence [2]), but the broader merchant design-services market is more fragmented across Taiwanese and Japanese houses and dozens of regional shops.

Materials & consumables

This step consumes no physical materials. Its recurring “consumable” is licensed IP (CPU cores, SerDes, PHYs, memory controllers) bought-in rather than built, which is the subject of the next step Semiconductor IP licensing (process step). The semiconductor-IP market it feeds was ~$5.9-7.5bn in 2024, Arm ~40% share, Synopsys ~13% [8]. The recurring-revenue character of this step comes in two forms: NRE (one-off engineering fees billed during design) and, for turnkey houses, downstream wafer/production margin once the chip ships, which is the stickier annuity.

Volumes, revenue, profitability

Unit volumes are not the right metric here; design starts and program wins are. The economics split cleanly:

Competitive landscape & value capture

The moat is talent density plus a proven advanced-node track record plus a captive IP portfolio (SerDes, UCIe, HBM, 3D stacking). It is a relationship-and-reputation business: a hyperscaler will not hand a $1bn tapeout to an unproven house. Value accrues to whoever sits closest to the IP and the customer; it leaks away from anyone who is just a foundry sub-contractor (Alchip’s AWS dependence and 20% gross margin shows the fragility of the broker position, sharpened when AWS moved Trainium 2 to Marvell [4]). EU / seed-relevant players exist but are small: EnSilica (AIM:ENSI, ~£28-30m FY25 guided, mixed-signal turnkey [10]), the new independent Dolphin Semiconductor and NanoXplore’s acquired Dolphin ASIC business (France/aerospace), and Presto Engineering. Alphawave Semi (UK-rooted, now US-acquired; $307.6m FY24, $515.5m bookings [11]) is the clearest example of a Western connectivity-IP-plus-custom-silicon play.

Net read on this step’s served market (design-services fee pool + the AI-custom-silicon programs it leads): accelerating into 2027-28, then a concentration overhang that decides who keeps the margin.

Connections

Sources

  1. MarketResearchFuture / Credence / multiple, ASIC Design Services market $11-15bn 2025, ~8-12% CAGR (report-mill range, treat as rough) - https://www.credenceresearch.com/report/asic-design-services-market
  2. Tom’s Hardware, custom AI ASIC state of play, Broadcom ~60-70% / Marvell ~25%, Bloomberg Intelligence 80%+ duopoly - https://www.tomshardware.com/tech-industry/semiconductors/custom-ai-asics-examined-from-broadcom-to-mtia
  3. Yahoo Finance / Marvell, >50 XPU sockets, $75bn pipeline - https://finance.yahoo.com/news/mrvls-custom-silicon-business-scales-135700350.html
  4. Alchip / GlobeNewswire, FY24 $1.62bn rev, ~20% gross margin, 60% from AWS; CommonWealth on margin vs Broadcom - https://www.globenewswire.com/news-release/2025/03/28/3051439/0/en/Alchip-Technologies-Sets-2024-Financial-Records.html
  5. GUC investor materials, Q1 24 29.7% gross margin, NRE vs wafer split - https://www.guc-asic.com
  6. Socionext IR, FY24 net sales ~Yen221bn - https://www.socionext.com/en/ir/pdf/sn_ir20250428_03e.pdf
  7. Faraday FY24 results, NT$11.07bn rev, 45.7% gross margin - https://anysilicon.com/faraday-reports-full-year-2024-results/
  8. Semiconductor IP market 2024 ~$5.9-7.5bn, Arm ~40%, Synopsys ~13% - https://www.globenewswire.com/news-release/2026/03/02/3247502/0/en/Semiconductor-Intellectual-Property-Research-Report-2026-2035-A-13-54-Billion-Market-by-2030-with-Arm-Synopsys-Cadence-Design-Systems-CEVA-Imagination-Technologies-Leading.html
  9. ARK Invest / TrendForce, AI ASIC $13bn 2024 to $150bn 2030, datacenter ASIC $50-70bn by 2028 - https://www.ark-invest.com/articles/analyst-research/the-state-of-ai-infrastructure-demand-costs-custom-silicon
  10. EnSilica FY25 guidance £28-30m, EBITDA £3.5-4.5m - https://www.investegate.co.uk/announcement/rns/ensilica—ensi/audited-full-year-results/8529395
  11. Alphawave Semi FY24 $307.6m rev, $515.5m bookings - https://awavesemi.com/press-release/alphawave-semi-q4-2024-trading-and-business-update/
  12. Tom’s Hardware, custom AI ASIC state of play May 2026, ASIC shipments +44.6% 2026 vs GPU +16.1%, Broadcom ~$100bn AI rev by 2027, Marvell ~$11bn AI ASIC 2026 - https://www.tomshardware.com/tech-industry/semiconductors/custom-ai-asics-examined-from-broadcom-to-mtia
  13. OpenAI + Broadcom, 10GW OpenAI-designed accelerators, deployments H2 2026 to 2029 - https://openai.com/index/openai-and-broadcom-announce-strategic-collaboration/
  14. Hashrate Index, AI ASIC design-partner duopoly ~95%, Google four-partner + in-house strategy, disintermediation risk - https://hashrateindex.com/blog/design-partners-ai-asic-market-part-2/
  15. ASIC design-service market $11.4bn 2025 to $26.8bn 2034 (~10% CAGR); UCIe 2.0 64 Gbps + optical die-to-die 2026-27 - https://www.patsnap.com/resources/blog/articles/chiplet-interconnect-tech-2026-ucie-hbm4-packaging/
  16. EE Times / EU, Chips Act 2.0 European Design Platform, 100 fabless startups + 10 unicorns by 2035 - https://www.eetimes.com/chips-act-2-0-inside-europes-semiconductor-rethink/
  17. The Next Web, Google in talks with Marvell for inference chips alongside Broadcom; hyperscaler insourcing/second-sourcing - https://thenextweb.com/news/google-marvell-ai-chips-inference-tpu-broadcom
  18. SIA / Synopsys, semiconductor talent shortage, ~115k unfilled US roles by 2030, advanced-node + SerDes + verification scarcity - https://www.synopsys.com/blogs/chip-design/semiconductor-engineering-talent-shortage-solutions.html

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