Citi's New AI-PCB Market Forecast (June 21, 2026)
Citibank just released a major update to its AI-PCB market analysis, significantly raising total addressable market forecasts:
| Year | TAM (RMB) | YoY Growth | Key Driver |
|---|---|---|---|
| 2026 | 152 billion | 86% | GPU demand surge, initial ASIC ramp |
| 2027 | 307 billion | 102% | ASIC dominance, optical module explosion |
| 2028 | 562 billion | 83% | Google TPU scale, network infrastructure |
The report is notable for formally projecting Google TPU PCB procurement exceeding Nvidia GPU-related demand by 2028.
Demand Breakdown: No Longer Just "Nvidia GPU Boards"
The 2027 demand composition reveals a diversifying market:
- ASICs (custom silicon): 34% — Google TPU, Amazon Trainium, Microsoft Maia
- Nvidia GPU-related: 24% — still significant but no longer dominant
- CPU interconnect: 16% — expanding I/O on high-core-count server CPUs
- Switches: 14% — 51.2T/102.4T switching silicon
- Optical modules: 12% — 1.6T optics requiring multi-layer substrates
This diversification matters because each category has different PCB requirements:
- GPU carriers: heavy copper (4-5oz), high layer count (20+), power delivery focus
- ASIC boards: vary by customer, generally similar to GPU
- Optical module substrates: thin profile, tight impedance, low-loss materials
- Switch boards: extreme signal integrity on 56+ Gbps SerDes
Google TPU: The New PCB Demand Leader by 2028
Citi expects Google TPU PCB procurement to reach $16 billion by 2028, surpassing Nvidia GPU-related demand. Between 2027-2028 incremental demand:
- Google TPU: ~30% of new demand
- Nvidia: ~25%
- Switches + optical: ~28% combined
Unlike Nvidia's distributed ecosystem (multiple OEM partners), Google's procurement is centralized — creating massive order volumes for qualified suppliers but also concentration risk.
Optical Module PCBs: Fastest-Growing Segment
The standout growth number: 135% growth in 2026, 178% in 2027 for optical module PCBs.
Optical module substrates have different requirements than compute boards:
- Thin profile: 0.8-1.2mm
- Moderate layer count: 8-14 layers
- Tight impedance: ±5% on 50GHz+ channels
- Low-loss materials: Dk < 3.0, Df < 0.002 at 28GHz
- Fine trace/space: 3/3mil for 112G PAM4
A manufacturer optimized for thick, heavy-copper GPU boards may miss this growth without process investment.
The Capacity Constraint Warning
The most actionable element for hardware engineers:
- Chinese PCB manufacturers need 13-15 months from greenfield to production
- Upstream CCL and fiberglass suppliers need 18+ months for capacity additions
- Citi expects next expansion announcements in H2 2026 for 2028 demand
- AI-CCL supply may become tighter than fabrication capacity
What this means for you:
If your board requires HDI, heavy copper, or high-layer-count fabrication with production timeline into 2027:
- Secure manufacturing capacity commitments early
- Expect lead times extending from 3-4 weeks to potentially 6-8 weeks
- Specify standard materials where possible — exotic laminates face tightest supply
- Source secondary vendors for production redundancy
Practical Takeaways for PCB Buyers
The report confirms several trends we've observed in our facility:
Material procurement is becoming the bottleneck — not fabrication capacity. Ultra-low-loss laminates and specialty prepregs face the tightest supply.
Diversify your supplier base — concentration risk increases as fewer manufacturers can handle the full range of AI-PCB requirements (heavy copper + fine line + low-loss materials).
Lock in lead times now — if your production timeline extends into 2027, current-day lead time quotes may not hold as capacity fills.
Design for manufacturability — boards using standard, widely-available materials (Shengyi S1000-2M, ITEQ IT-180A) will face shorter lead times than those specifying exotic laminates.
For detailed analysis including supply chain implications and material sourcing strategies, see: Full Analysis on AtlasPCB
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