Market Sizing
Most robotics market slides say “robots will be a $X trillion market.” That’s not useful. We size it differently: who are the teams actually building robots today, how many are there, what do they spend, and how fast is that universe growing?
TAM — Now and 2030
Section titled “TAM — Now and 2030”We size TAM as the spend by teams building and deploying robots — not “all of robotics.” Two buckets:
- Robotics simulation and dev tools — ~$1.5–2.5B today, growing 20%+ to ~$5B+ by 2030
- AI compute for those teams — a meaningful slice of the $57–72B AI compute market, increasingly pulled by robotics
Bottoms-up TAM:
| 2025 (today) | 2030 (projected) | |
|---|---|---|
| Robotics teams globally | ~5,000 | ~8,000–10,000 |
| Annual spend per team (sim + infra) | $100–500K | $150–750K |
| TAM | $500M–$2.5B/year | $1.2B–$7.5B/year |
One-line framing: “Our TAM is the combination of robotics simulation/dev tooling and the AI compute those teams use — a low-single-digit-billion market today, growing 2–3× over the next 5–7 years as robots go from pilots to real deployments at scale.”
SAM — Teams That Fit Our Profile
Section titled “SAM — Teams That Fit Our Profile”We narrow to teams that:
- Do simulation-driven development (robot models, environments, data collection, training)
- Are software-heavy and can adopt a cloud-native stack
- Are willing to pay for integrated sim + serverless compute
| 2025–26 (now) | 2030 (projected) | |
|---|---|---|
| Teams with active sim + training needs | ~2,000 | ~3,500–4,000 (15–20% CAGR) |
| Average spend on CodecFlow stack | $25–75K/year | $40–100K/year |
| SAM | ~$100M/year | ~$200–250M/year |
“Our SAM is ~2,000 robotics teams doing active simulation and training today — a ~$100M/year market that’s growing 15–20% per year as sim-first workflows become the default.”
SOM — Reachable in 18 Months
Section titled “SOM — Reachable in 18 Months”Limited by our actual distribution:
- LeRobot + Hugging Face community and hackathons (Khalil is on the team)
- Dim OS community (Moyai contributes)
- Web3/DePIN ecosystems — Solana, PumpFun, Chainlink, Peaq
- Direct pilots — 6 alpha teams already using the platform
| Step | Estimate |
|---|---|
| Teams we can actively reach | 200–300 |
| Conversion to paying customers (10–15%) | 20–40 teams |
| Average spend per team year 1–2 | $15–30K/year |
| SOM | $300K–$1.2M/year |
“In the next 18 months, we can realistically land 20–40 teams at $15–30K/year each — $300K–$1.2M/year SOM. Those early adopters sit inside a SAM that’s growing 15–20% per year as more robots come online and simulation-first development becomes standard.”
Summary
Section titled “Summary”| Today | 2030 | Growth | |
|---|---|---|---|
| TAM | ~$500M–$2.5B/year | ~$1.2B–$7.5B/year | 2–3× |
| SAM | ~$100M/year | ~$200–250M/year | 2× |
| SOM | $300K–$1.2M/year | — | First 18 months |
This is a floor, not a ceiling. As autonomous agents start buying compute through x402 with no human involved, the SAM grows past human-run teams into machine-to-machine compute spending — a market with no clear ceiling and no real precedent.