Baskin-Robbins vs Dairy Queen: units, growth & AI adoption
Dairy Queen leads on AI adoption (50/100 vs 47/100), while Baskin-Robbins is the larger system by unit count (7,700+ vs 7,700+). Baskin-Robbins is growing faster year-over-year (+1.9%). Data verified Q3 2026.
| Metric | Baskin-Robbins | Dairy Queen |
|---|---|---|
| Sector | F&B / Ice Cream | F&B / Ice Cream |
| Headquarters | USA | USA |
| Units (approx.) | 7,700+ ◂ | 7,700+ |
| Unit growth YoY | +1.9% ◂ | +1.5% |
| AI Adoption Score | 47/100 | 50/100 ◂ |
| Operations AI | 42 | 46 ◂ |
| Marketing AI | 58 | 60 ◂ |
| Training AI | 40 | 44 ◂ |
| Data infrastructure | 48 | 50 ◂ |
| Region | North America | North America |
| Index rank | #47 | #44 ◂ |
Baskin-Robbins
Large APAC footprint (especially Korea and Japan) with AI use mostly inherited from parent-company marketing platforms; unit-level AI operations remain thin.
FULL BASKIN-ROBBINS PROFILE →Dairy Queen
Berkshire-owned treat franchise; AI use concentrated in app personalization and media, with traditional field operations.
FULL DAIRY QUEEN PROFILE →Reading the comparison
What actually separates them
Dairy Queen (50/100) and Baskin-Robbins (47/100) are separated by 3 points — close enough that the ranking order is not the interesting part. What matters is that Dairy Queen leads Baskin-Robbins on operations AI by 4 points.
Operations AI carries the heaviest weight in the score at 35%, because it is the pillar most tied to unit economics and the hardest to claim without deploying.
A composition pattern worth noting
Baskin-Robbins (marketing 58 vs data 48) and Dairy Queen (marketing 60 vs data 50) 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 F&B / Ice Cream, which averages 50/100 across the 4 systems we track in it, against an industry average of 63. Neither sits above that sector average.
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
Baskin-Robbins ranks #47 and Dairy Queen #44 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.