AI infrastructure software
LowData platforms, vector stores, observability, eval, orchestration, and the plumbing that turns models into reliable production systems.
Demos do not pay. Whoever owns the path from prototype to production at enterprise scale captures durable spend even as model providers churn.
Companies
19
11 pub · 8 priv
Public mcap
$8.11T
Public revenue
$1.30T
Wtd YoY
24%
Wtd GM
65%
Wtd OM
32%
Avg fund
67
Avg tech
52
Market structure
Current TAM
$35.00B
5y TAM
$130.00B
5y CAGR
30.0%
Companies
19
Margin structure
Software-like
Concentration
Fragmented
Capex intensity
Low
Commoditization
High
Drivers
What grows the pie
- ↑Production AI rollouts
- ↑Eval and observability
- ↑Vector and unstructured data
Constraints
What can break the thesis
- ↓Open-source compression
- ↓Bundled offers from hyperscalers