What we said
Early deployments are better understood as learning engines than finished products. Low or negative early margins do not necessarily mean the business is broken. Low or negative early margins may mean the company is paying to learn: paying for supervision, for support, for customer-specific integration. The question is whether those costs are buying leverage. Are interventions falling? Is autonomy expanding into more of the workflow? Is deployment becoming faster and less bespoke? Is the support burden declining as the fleet grows?
How we tested it
We looked at four measures:
- What buyers say about the economics of their deployments today.
- What the buyers who think the economics are improving give as their reasons for improvement.
- What payback period they expect.
- Which pricing and commercial models are actually in use.
What we found
Buyers are not telling us the economics work. They are telling us they are moving. 19% say the economics work well today and 56% say they do not work yet but are improving. Only 6% say they are not improving. In our data, buyers who have scaled were more likely to say the economics work than buyers still piloting. The reasons they give are about the system doing more of the work itself rather than about hardware getting cheaper. Payback is slow, and the commercial models that would charge for performance are in use by a minority of buyers, which we believe reflects how few can measure performance reliably. The horizon is long too: 55% expect payback to take more than two years and only 4% expect it inside one.
56%
of robotics buyers say the economics do not work yet, but that they are improving over time
All qualified buyers, n=85 · single-select, so the shares add to 100%
| Category | % of buyers |
|---|---|
| The economics work well today | 19% |
| The economics do not work yet, but they are improving over time | 56% |
| The economics do not work yet, and they are not improving meaningfully | 6% |
| It is too early to assess the economics | 18% |
| The economics are not viable for this use case | 1% |
All qualified buyers, n=85 · single-select, so the shares add to 100%
See the full benchmark69%
of the 48 buyers who say the economics are improving name less human intervention or supervision per unit of work as a reason for the improvement
The 48 buyers who said the economics do not work yet but are improving over time · Select all that apply, so the shares add to more than 100% · Buyers gave 2.4 reasons each on average
| Category | % of the 48 |
|---|---|
| Less human intervention / supervision needed per unit of work | 69% |
| The system handles more of the workflow autonomously over time | 54% |
| Each new deployment is faster and cheaper to stand up | 48% |
| Support / maintenance burden is falling as the fleet grows | 42% |
| Hardware or compute costs are coming down | 25% |
The 48 buyers who said the economics do not work yet but are improving over time · Select all that apply, so the shares add to more than 100% · Buyers gave 2.4 reasons each on average
See the full benchmark41%
of buyers expect payback in two to three years. 4% expect it inside a year and 14% beyond three.
All qualified buyers, n=85 · single-select, so the shares add to 100%
| Category | % of buyers |
|---|---|
| Under 1 year | 4% |
| 1–2 years | 38% |
| 2–3 years | 41% |
| More than 3 years | 14% |
| We don't expect them to pay back at current economics | 1% |
| Too early to tell | 2% |
All qualified buyers, n=85 · single-select, so the shares add to 100%
See the full benchmark60%
of robotics buyers say outright purchase is in use in the deployments they are closest to, the most common commercial model of the five offered
All qualified buyers, n=85 · Select all that apply, so the shares add to more than 100% · Buyers named 1.8 models each on average
| Category | % of buyers |
|---|---|
| Outright purchase (capital expense) | 60% |
| Subscription / lease (fixed periodic fee) | 41% |
| Managed service (vendor operates the robots) | 36% |
| Robot-hour or usage-based pricing | 21% |
| Outcome-based pricing (pay per unit of work completed) | 18% |
| None yet | 1% |
All qualified buyers, n=85 · Select all that apply, so the shares add to more than 100% · Buyers named 1.8 models each on average
See the full benchmark