The Localization Payoff

Plot this out and the curve doesn't even start as a curve. Apps shipping one language average 1.4 countries charted. Tack on a second or third language and that number actually falls to 1.2. That's not a fluke in the data. A lot of apps toss in one throwaway secondary language, usually English by default, with zero market targeting behind it, and it buys them nothing. The real payoff kicks in once you hit 4-6 languages, where average countries charted reaches 1.7, then keeps climbing at 7-10 languages (2.5) and 11+ (3.7). So what should you take from this if you're the one deciding on localization? Half-measures don't do much of anything. You need to clear a threshold of roughly half a dozen languages before language count and country reach start behaving the way people assume they will from day one. Treat localization as an all-or-mostly-in bet, not something you dial up a notch at a time.

Telugu comes out on top here, with apps that support it charting in 8.3 countries on average. Marathi (7.6), Gujarati (7.5), Tamil (7.3) and Kannada (7.1) take the next four spots, which means the five languages with the widest reach in this whole study are all Indian regional languages. That's not a coincidence. When a developer bothers to localize into Telugu or Marathi, they're almost never going after just one market. It's typically a piece of a larger push across South Asia and its diaspora communities, so the language itself acts less like a standalone feature and more like a tell that a bigger localization effort is underway. Right behind that group is a cluster of Baltic and Eastern European languages: Estonian and Lithuanian tied at 6.9, Latvian at 6.8, plus Malayalam (6.9), Urdu (6.8), Azerbaijani (6.6) and Bengali (6.5). That Baltic grouping probably comes down to EU-adjacent apps bundling neighboring-market languages together as one regional play. If you're mapping out a localization roadmap, it's worth treating these as languages that, at least in this data, tend to show up alongside apps that already reach a lot of countries. They're not driving that reach by themselves, but they're a decent signal for which markets tend to get bundled together in practice.

For every language a Music app supports, it typically reaches 1.2 countries, the best ratio in this whole dataset. Medical and Navigation apps come next, tied at 1.0, and from there the numbers slide down through Education, Sports, and Developer Tools (all sitting at 0.9), then News, Reference, Health & Fitness, and Utilities (all at 0.8), before landing at the bottom with Entertainment and Lifestyle at 0.7. Once you look at what these apps actually contain, the pattern makes a lot of sense: music just doesn't run into much translation friction when it crosses a border. A song title or a playlist name needs far less localized writing than, say, a lifestyle app's editorial tone or an entertainment app's jokes and cultural references. Medical and Navigation apps get to their numbers through a different route: symptoms, directions, map labels, it's all functional content that translates almost mechanically, so every new language tends to open up a market without a ton of extra effort. Entertainment and Lifestyle land at the bottom because their appeal comes from culture itself, and no amount of interface translation can fake content that actually feels like it belongs in a given place. If you're planning a localization budget, this ranking is pretty straightforward to use: a dollar spent on language support in Music or Medical will get you more countries than that same dollar spent on Lifestyle.

Apps in this dataset that stick to a single language chart in an average of 1.35 countries. The ones that lean hard into localization average 4.56. That means the mono group only reaches 29.5% of what the poly group manages, so going from barely any language support to a lot of it isn't some incremental bump. It's a jump into a different league entirely. This comparison holds up because it sidesteps the category and language quirks that muddy things elsewhere in the data. No matter the vertical or the language, the gap between doing nothing and doing a lot runs past three times the reach. That's a real strike against halfhearted localization, the sort where you slap on a second language and call it a day. The earlier numbers on language count already made this point: a token second or third language doesn't even outperform staying monolingual. If you're going to bother localizing, go deep rather than wide and shallow.

Of the 3,299 apps studied, 2,633 (79.8%) chart in only a single country. Another 336 (10.2%) manage 2 to 3 countries, 194 (5.9%) reach 4 to 10, and just 136 (4.1%) crack the 11 to 30 range. That spread sits behind every other number in this study. Wide reach is rare, so the language and category effects covered elsewhere are playing out among a small, elite slice of apps rather than the typical one. It also explains why a highly localized app averaging 4.56 countries looks like such an outlier: most charting apps never leave their home market, no matter what they do with language support. For anyone trying to benchmark their own app, reaching even the 2 to 3 country tier already puts you ahead of about 80% of charting apps, and the 11 to 30 tier is a tight club of just 136 apps. Reach is scarce in this market, and that scarcity is why the localization choices discussed elsewhere matter so much to apps trying to break out of the single-country default.