Issue #001 — The Humanoid Gap
Robotics has a humanoid problem — but probably not the one you've read about.
The headline version is that humanoids are overhyped. The actual version, once you stop reading press releases and start counting products, is weirder: the humanoid story is a Chinese-catalog story. Almost none of it shows up in the Western databases that investors actually use.
I spent recent weeks pulling five public robot directories into one dataset — 929 entries, deduped by canonical name. Two of those sources are Western (an open-source robot index, a startup list); two are Chinese (a community database, an industry portal); one is a Western media catalog. They barely overlap. Here's the part nobody reports:
The humanoid share, by source:
| Source type | Humanoid-flagged entries |
|---|---|
| Western open-source + startup lists | ~0% |
| Western media catalog | 3% |
| Chinese community + industry portals | 38% / 14% |
The humanoid "boom" you've been reading about is, in catalog terms, a phenomenon that lives almost entirely inside Chinese directories. The Western sources that most analysts quote list close to zero humanoids. This doesn't mean humanoids aren't real — it means the picture you've been given is sampled from one side of the room. If your thesis on embodied-AI comes from Crunchbase and arXiv, you are structurally blind to where the humanoid entries actually live.
(A note on the denominator, since someone will ask: 65% of the catalog didn't fit any category tag I have, so "20% humanoid" is of the whole list. Of the 34% I could categorize, humanoid is ~59% — an even louder signal that this is where the catalog attention concentrates, whatever the install base actually is.)
Three things the data actually says
1. The industry is long-tail, not concentrated.
There are 513 distinct companies across the dataset. 69% of them ship exactly one product. The median company has one robot. The mean is 1.8. For an industry everyone describes as "consolidating around winners," the product graph says the opposite: it's a field of single-product specialists, and nobody has a broad catalog. Whatever moat you think the incumbents have, it isn't catalog breadth.
2. The companies shipping the most models are not who Western coverage implies.
Of the 31 companies with five or more catalog entries, the top six are all Chinese — REEMAN (18), Leju (14), Engineai (14), Chuansanjia (14), Elephant Robotics (14), Zhiyuan (12). Boston Dynamics, the default Western reference, sits at 12. And critically: those top Chinese shippers are mostly service, cleaning, and education robots — not humanoids. The "China is flooding humanoids" narrative you occasionally see doesn't survive contact with the actual product names. What China is flooding is the boring, revenue-generating service category.
3. The funding-vs-catalog gap is real, but I can't size it honestly yet.
Humanoids dominate funding attention while occupying ~20% of the merged catalog and living mostly in Chinese sources. That's a gap worth watching. But I don't have a clean funding-share number I trust (PitchBook and Crunchbase both under-cover Chinese rounds), so I won't give you a fake ratio. The honest claim is narrower: the part of the field that attracts capital and the part of the field that shows up in cross-sourced catalogs are not the same part. Resolving that gap is on my roadmap, not in this issue.
The caveat I owe you
This dataset is a cross-section of public catalogs, not the industry. Industrial arms (FANUC, KUKA, ABB) are badly undercounted — they ship thousands of SKUs that never make these lists. 65% of entries didn't fit any category tag I had, which is a flaw in my taxonomy (no buckets yet for surgical, agricultural, underwater, or cobot-specific), not a flaw in the field. And yes — the first draft of this issue mislabeled REEMAN as a humanoid maker. It isn't. Its 18 entries are delivery and cleaning robots. I'd rather flag that than hide it.
That's Issue #001. Every week: one claim I can defend with counts I actually collected, one caveat I owe you, and no fabricated ratios. If I can't size something, I'll say so.
Next week: the funding-vs-catalog gap — building a defensible number instead of a vibe.
→ Browse the methodology notes → mazeintelli.com
→ [Hit reply — especially with the funding data I'm missing.]
