The forecasts, by source
| Source | Projection | Timeframe | What it measures |
|---|---|---|---|
| Goldman Sachs | $38 billion, ~1.4M units shipped | By 2035 | Hardware market, commercially deployed units |
| Morgan Stanley | $5 trillion | By 2050 | Total market incl. services, 1B+ units deployed |
| Morgan Stanley (China-specific) | $2B in 2026 → $15B by 2030 | By 2030 | China market only, external sales |
| MarketsandMarkets | $4-6B (2026) → $13.8B (2028) | Near-term | Global hardware market |
Why the numbers look so different
Every one of these figures is technically correct for what it's measuring — they just aren't measuring the same thing. Some forecasts count only hardware sales; others fold in software, maintenance, and robotics-as-a-service revenue. Some include prototypes and pilot deployments, while others count only units that actually ship commercially. And the timeframes range from a couple of years out to a 2050 horizon, which alone accounts for most of the gap between "$38 billion" and "$5 trillion."
Goldman Sachs' own $38 billion figure comes with explicit caveats: component bottlenecks, unresolved AI and manipulation limitations, and the fact that general-purpose usefulness hasn't been proven at scale yet. Treat it as an aggressive scenario forecast, not a settled fact.
The near-term signal: China is moving faster than expected
Morgan Stanley has revised its China humanoid shipment forecast upward twice within a single year — from an initial 14,000 units to 28,000, then to 50,000 units for this year, with annual shipments projected to reach 446,000 by 2030. That pace of upward revision is arguably more informative than any single long-range total, since it shows commercialization moving from demonstration to real deployment faster than the banks themselves initially modeled.
What this means for investors
The wide range between forecasts isn't a reason to dismiss the theme — it's a reason to be precise about which claim you're actually underwriting when you invest in it. A bet sized around Goldman's near-term $38 billion hardware market implies very different assumptions than a bet sized around Morgan Stanley's trillion-dollar, decades-out total market. Know which one you're actually holding.