Page 2 of 4
Re: Anyone modeling humanoid TAM by industry vertical rather than one big number?
Posted: Sun Feb 15, 2026 8:21 pm
by larrysokolov
@carter42 Appreciate the detailed answer.
Self-reported deployment and uptime numbers from humanoid companies are inherently hard to independently verify, since there's no standardized, third-party reporting requirement yet - a healthy dose of skepticism toward company press releases is reasonable until independent data catches up. The humanoid robot market is estimated at roughly $5.41 billion in 2026, with projections reaching around $50 billion by 2035 (about 28% CAGR) - a genuinely huge projected growth curve, and also exactly the kind of number worth treating with healthy skepticism given how young and unproven the underlying revenue base still is.
Re: Anyone modeling humanoid TAM by industry vertical rather than one big number?
Posted: Mon Feb 16, 2026 3:36 pm
by joseph_sing
Here's what I know on this:
Automotive OEMs becoming the leading early-adopter vertical isn't really about cars specifically - it's about those companies already having structured facilities, existing automation budgets, and risk tolerance for piloting new equipment at scale. Robotics-as-a-Service (RaaS) - subscription, leasing, or usage-based pricing instead of outright purchase - is emerging specifically to lower the adoption barrier for businesses that don't want to commit large capital expenditure to an unproven new category.
Re: Anyone modeling humanoid TAM by industry vertical rather than one big number?
Posted: Tue Feb 17, 2026 1:45 pm
by ramirez77
+1 to this. Worth adding:
The market consolidation question (which of the 100+ companies chasing this space survive) is complicated by the fact that hardware is genuinely capital-intensive to scale, so smaller players without a clear cost or technology moat are structurally at risk once the well-funded leaders reach real manufacturing scale. Unit economics for an early fleet deployment have to include maintenance, downtime, and technician support costs, not just the sticker price of the robot - a lower unit price (like Unitree's roughly $16k G1) doesn't automatically mean a lower total cost of ownership if support infrastructure is thinner.
Re: Anyone modeling humanoid TAM by industry vertical rather than one big number?
Posted: Thu Feb 26, 2026 10:54 pm
by park44
@ramirez77 Slightly off-topic, but related:
A recurring critique worth taking seriously: a lot of publicly announced 'production capacity' targets (100k units/year, 1 million/year by 2028, etc.) are aspirational manufacturing targets, not confirmed sales or deployment numbers, and the gap between the two has historically been large in hardware industries.
Re: Anyone modeling humanoid TAM by industry vertical rather than one big number?
Posted: Mon Mar 09, 2026 1:41 am
by nicole57
@park44 I'd push back on this a bit.
This hype cycle differs from earlier robotics hype waves mainly in having real, verifiable revenue-generating deployments (BMW's Figure line, Amazon's Digit units) alongside the speculative funding activity - previous waves were almost entirely research-and-demo-stage without production deployments at this scale. A recurring critique worth taking seriously: a lot of publicly announced 'production capacity' targets (100k units/year, 1 million/year by 2028, etc.) are aspirational manufacturing targets, not confirmed sales or deployment numbers, and the gap between the two has historically been large in hardware industries.
Re: Anyone modeling humanoid TAM by industry vertical rather than one big number?
Posted: Thu Mar 19, 2026 6:19 pm
by noah_pate
@nicole57 Here's what I know on this:
Robotics-as-a-Service (RaaS) - subscription, leasing, or usage-based pricing instead of outright purchase - is emerging specifically to lower the adoption barrier for businesses that don't want to commit large capital expenditure to an unproven new category. The market consolidation question (which of the 100+ companies chasing this space survive) is complicated by the fact that hardware is genuinely capital-intensive to scale, so smaller players without a clear cost or technology moat are structurally at risk once the well-funded leaders reach real manufacturing scale.
Re: Anyone modeling humanoid TAM by industry vertical rather than one big number?
Posted: Tue Mar 31, 2026 7:29 am
by sarahbernard
@noah_pate Slight correction, though the overall point stands:
Automotive OEMs becoming the leading early-adopter vertical isn't really about cars specifically - it's about those companies already having structured facilities, existing automation budgets, and risk tolerance for piloting new equipment at scale.
Re: Anyone modeling humanoid TAM by industry vertical rather than one big number?
Posted: Fri Apr 03, 2026 7:01 pm
by giulia.roberts4
@sarahbernard From hands-on experience,
The market consolidation question (which of the 100+ companies chasing this space survive) is complicated by the fact that hardware is genuinely capital-intensive to scale, so smaller players without a clear cost or technology moat are structurally at risk once the well-funded leaders reach real manufacturing scale. Robotics-as-a-Service (RaaS) - subscription, leasing, or usage-based pricing instead of outright purchase - is emerging specifically to lower the adoption barrier for businesses that don't want to commit large capital expenditure to an unproven new category.
Re: Anyone modeling humanoid TAM by industry vertical rather than one big number?
Posted: Thu Apr 09, 2026 1:24 am
by byang
@giulia.roberts4 Not sure I fully agree here.
Pilot-to-contract conversion rate is one of the most important and least publicly available numbers in this industry - a company running many flashy pilots isn't the same as a company converting those pilots into multi-year recurring revenue.
Re: Anyone modeling humanoid TAM by industry vertical rather than one big number?
Posted: Sat Apr 18, 2026 5:49 am
by joseph31
Appreciate the detailed answer.
Robotics-as-a-Service (RaaS) - subscription, leasing, or usage-based pricing instead of outright purchase - is emerging specifically to lower the adoption barrier for businesses that don't want to commit large capital expenditure to an unproven new category.