Kumon vs Mathnasium: units, growth & AI adoption
Kumon leads on AI adoption (61/100 vs 52/100), while Kumon is the larger system by unit count (26,000+ vs 1,100+). Mathnasium is growing faster year-over-year (+5.4%). Data verified Q3 2026.
| Metric | Kumon | Mathnasium |
|---|---|---|
| Sector | Education | Education |
| Headquarters | Japan | USA |
| Units (approx.) | 26,000+ ◂ | 1,100+ |
| Unit growth YoY | +2.4% | +5.4% ◂ |
| AI Adoption Score | 61/100 ◂ | 52/100 |
| Operations AI | 55 ◂ | 46 |
| Marketing AI | 52 | 58 ◂ |
| Training AI | 72 ◂ | 55 |
| Data infrastructure | 64 ◂ | 49 |
| Region | APAC | North America |
| Index rank | #28 ◂ | #40 |
Kumon
The world's largest education franchise is digitizing its worksheet method; AI-assisted progress analytics now inform instructor decisions in pilot markets.
FULL KUMON PROFILE →Mathnasium
Fast-growing math tutoring franchise; AI use today is concentrated in lead scoring and curriculum-progress tracking rather than instruction itself.
FULL MATHNASIUM PROFILE →Reading the comparison
What actually separates them
Kumon leads Mathnasium by 9 points overall (61 vs 52), and the gap is concentrated rather than spread. The widest single divergence is training & support AI, where Kumon is 17 points ahead.
Training and support AI carries 15% — the lightest weight, because it is the pillar most easily overstated and the one with the least verifiable outcome data.
A composition pattern worth noting
Mathnasium (marketing 58 vs data 49) carries marketing AI well ahead of data infrastructure. Across our panel this shape recurs in the middle band of the Index and tends to precede a plateau: the tools that work without system-wide data have been bought, and the next step requires the consolidation work that was skipped.
This is a caution about the likely trajectory, not a judgement on current capability. The marketing capability is real; what is unproven is whether it extends.
Sector context
Both compete in Education, which averages 52/100 across the 3 systems we track in it, against an industry average of 63. Kumon sits above that sector average; the other does not.
Same-sector comparison is the one that carries real weight. These two are competing for the same operators and the same customers, so a durable capability gap between them is a competitive fact rather than a statistical curiosity.
What this comparison does not tell you
Kumon ranks #28 and Mathnasium #40 of the 50 systems in the Index. That ordering describes depth of AI deployment and nothing else.
We publish no correlation between AI score and franchisee profitability, because no verified dataset supports one. Unit economics, franchisee satisfaction, territory terms and the disclosure document decide a franchise purchase; AI maturity is a tiebreaker between otherwise comparable options.
Scores describe system-level capability. What reaches any individual unit depends on that system's rollout, and in large networks the variation between units is wide.
Franchise Intelligence Index
Compare every tracked system — full benchmarks, updated quarterly.
SOURCE: FRANCHISEPULSE FRANCHISE INTELLIGENCE INDEX, Q3 2026 · FREE TO CITE WITH ATTRIBUTION + LINK
Unit counts, growth rates and founding years are approximate public figures compiled from company reports and press (2025–26). They are published by third parties, compiled as-is, and may change; we do not independently verify the underlying data — check the company’s own filing before acting on it. The AI Adoption Score is FranchisePulse’s own editorial metric (operations 35% · data infrastructure 30% · marketing 20% · training 15%), not a measured industry statistic — see the open methodology. For reference only; not legal, tax, or investment advice.