State of Software 2025: Rethinking the Playbook - Annual Topline Growth and Operational Efficiency Report
ICONIQ's comprehensive analysis of 127 software companies reveals that efficient growth has become the primary valuation signal, with the Rule of 40 emerging as the strongest predictor of public market multiples. AI-native companies are redefining scaling benchmarks by achieving $100M ARR in 1-2 years with lean teams, while traditional SaaS companies are adapting through AI product launches and workforce optimization (AI adoption at 80%, offshore headcount rising to 30%), resulting in stabilizing topline metrics and improving Rule of 40 performance across the market.
Metrics in this report
94%percent
current
Public software companies
80%percent
average
Software companies with active experimentation or implementation
90000dollars
top-quartile
Software companies <$10M ARR
380000dollars
top-quartile
Software companies >$500M ARR
2.2%percent
median
Public software companies Q1 2025
16months
top-quartile
Software companies across all scales, 2025
19-150count
range
Select AI-native companies (Cursor ~19, ElevenLabs ~150)
80%percent
top-quartile
Software companies at scale
130%percent
top-quartile
Software companies <$10M ARR
120%percent
top-quartile
Software companies $25M-$100M ARR
2.3xratio
top-quartile
Software companies <$10M ARR
1.0xratio
top-quartile
Software companies $250M-$500M ARR
30%percent
current
Software companies total workforce, 2025
70%percent
top-quartile
Software companies $25M-$50M ARR
50%percent
top-quartile
Software companies $250M-$500M ARR
1-2years
average
Select AI-native companies (ElevenLabs, Cursor, Lovable)
43-56%percent
top-quartile
AI-native companies <$100M and $100M+ ARR
32-39%percent
top-quartile
Non-AI companies <$100M and $100M+ ARR
515%percent
top-quartile
Software companies <$10M ARR
60%percent
top-quartile
Software companies $100M-$250M ARR