How many languages do iOS apps support?

The gradient

Supported languages by estimated revenue tier

Cross the exact language counts against our estimated-revenue tiers and the pattern is unmistakable — and unusually clean. Median languages, the share escaping single-language, and the share shipping in 5+ languages all move in lockstep with estimated revenue:

Source: GetAppNiche analysis of 730,024 iOS App Store apps with supported-language metadata (of 744,874 tracked), July 7, 2026 snapshot (dataset updated daily). Language counts are exact public App Store listing metadata; revenue tiers are estimates modeled from public signals. Store-wide: median 1 language, 68.6% single-language.

Single-language Ships in 5+ languages

The two lines of the gradient, side by side. As estimated revenue rises the single-language share falls (70.1% → 38.7%) while the 5+-language share climbs (14.7% → 50.7%) — they cross between the $1k–$10k and $10k+ tiers. Language shares are exact App Store metadata; the revenue tiers they're bucketed by are estimates, snapshot Jul 7 2026.

How to read this table

Three things the localization gradient reveals

• Most of the store never tries to travel. 68.6% of all apps ship in one language, and among apps with no revenue signal it's 70.1%. The typical App Store app is written once, in one language, for one market — which means a localized listing is automatically doing something roughly two thirds of the store doesn't.
• The earners cluster at a handful, not at forty. The estimated $10k+/month tier has a median of 5 languages — five times the store-wide median of 1 — and 50.7% of that tier ships in 5+. The observable gap between the no-revenue population and the earners is the move from 1 language to a small handful: single-language share falls from 70.1% to 38.7% as estimated revenue rises, while the 5+-language share climbs from 14.7% to 50.7%.
• Correlation, not causation — in both directions. Localization opens new markets, and revenue funds localization; both are plausibly true at once. Successful apps can afford translators, and translating an app nobody wants will not rescue it. What the data rules out is the comfortable assumption that localization doesn't matter: the pattern is monotonic at every tier, with no exceptions. (For the base rates on reaching those tiers at all, see how many apps actually make money.)

The practical read

What to localize first

Our dataset can tell you that earners ship in more languages; it cannot tell you which language will pay for itself in your niche, and we won't invent per-language revenue figures we don't have. What we can offer is the standard cost-ordered method. Localization isn't all-or-nothing — it's a ladder, and the first rungs are nearly free:

• 1. Metadata and keywords first. App Store keyword indexing differs by locale, so localizing your keyword field and app name for a few target locales is the cheapest possible test — no code changes, no translators for the app itself. Research which terms people actually search in each locale with our free App Store keyword tool.
• 2. Then the store listing. Description, screenshots, and promotional text. A user who finds you via a localized keyword still has to be convinced by a page they can read.
• 3. Then the app UI. The expensive rung — strings, layouts, support. Do it for the locales where the first two rungs showed real traction, not speculatively for forty languages.

This ordering is also the honest reading of the metadata caveat above: because supported-language counts measure declared breadth, some of the multilingual earners in our table are surely on rung 1 or 2 themselves. The gradient measures apps that made some localization move — which is exactly the move that's cheap to try. Where the returns land depends heavily on category economics; see the most profitable app categories in 2026 for how different those economics are.