Skip to main content

The Convergence

Hub AI & Robotics Health Sponsors Jump to a planet… AI & Robotics Health & Wellness Sports Entertainment Breaking News Celebrities / Pop Culture (soon) News / Politics (soon) Weather (soon) Gaming Food & Recipes (soon) Finance & Investing Travel Fashion / Beauty (soon) Automotive Shopping Business Archive Real Estate & Housing Relationships / Dating (soon) Education / How-To (soon) True Crime Alternative & Natural Medicine Nanotechnology Science (soon) Parenting / Family (soon)

Home / Market Forecasts

Humanoid Robot Market Size: What Goldman Sachs and Morgan Stanley Actually Project

The headline numbers get repeated everywhere. Here's what each bank's forecast actually measures — and why "$38 billion" and "$5 trillion" aren't really competing claims.

PUBLISHED 2026-07-26 · MKT_02

Goldman Sachs projects the humanoid robot market could reach $38 billion by 2035, with roughly 1.4 million units shipped by then. Morgan Stanley's much larger $5 trillion figure is a 2050 forecast for the total market including downstream services, assuming adoption accelerates through the late 2030s and more than one billion humanoid robots are eventually deployed. The two numbers aren't contradictory — they're measuring different scopes over different timeframes.

The forecasts, by source

SourceProjectionTimeframeWhat it measures Goldman Sachs$38 billion, ~1.4M units shippedBy 2035Hardware market, commercially deployed units Morgan Stanley$5 trillionBy 2050Total market incl. services, 1B+ units deployed Morgan Stanley (China-specific)$2B in 2026 → $15B by 2030By 2030China market only, external sales MarketsandMarkets$4-6B (2026) → $13.8B (2028)Near-termGlobal 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.

Related reading

See how these market-size numbers translate into specific fund exposure: BOTZ vs. KOID vs. ROBO compared, and for the valuation context around the AI trade broadly: Grantham's CAPE framework applied to AI.

This is factual, comparative information for research purposes and is not investment advice. Forecasts cited here are from third-party research and are subject to revision — verify current figures directly with each source before making any investment decision.

THE CONVERGENCE · theconvergencehub.com · Not investment advice · Some links may be affiliate links; we may earn a commission at no extra cost to you. · About · Privacy · Terms · YouTube · TikTok · Facebook