The Momentum Index
Repeated snapshots reveal which apps and categories are actually gaining ratings fastest — not just which are biggest.
Original research by AppWanderer, computed from a sample of 19,728 public App Store listings drawn from our index — every figure here is calculated, never estimated. See our editorial standards and glossary.
全民K歌, a Chinese karaoke and social singing app, alone accounts for 6,415,055 rating count additions in the fastest growing cut we tracked. That single app makes up 67.9% of the 9,444,260 total captured across the top gainers list. This isn't a typo distorting the numbers; it's the clearest signal in the dataset. Momentum in the App Store concentrates in a handful of apps instead of spreading evenly across the field. Across all 19,728 tracked apps, average growth sits at 701.02, while the maximum reaches 6,415,055. That gap leaves the mean nearly meaningless for this metric.
This pattern repeats at the category level and in the free versus paid split. Entertainment posts a growth score of 6,549.0, far above every other category, while paid apps register a momentum score of 13.8 against 758.6 for free apps. Average volatility across the tracked population sits at 0.09, and most apps barely move at all. A small group of free, Entertainment-leaning, often region-specific apps drives nearly all the movement here, while the rest of the field stays close to frozen.
One karaoke app owns two-thirds of the entire top-gainers cut
全民K歌-你其实很会唱歌 added 6,415,055 new rating counts in this snapshot comparison, which works out to 67.9% of the 9,444,260 total across the top ten gainers list. My au, a Japanese telecom utility app, landed in second with 983,427, or 10.4% of that total, less than a sixth of what the karaoke app pulled in. After that things drop off quickly. MeinMagenta holds 5.6%, РосШтрафы sits at 4.3%, and Facebook closes out the list at 3.3%, barely a sliver compared to the leader. Growth clearly isn't spread evenly across these popular apps. One title, in one market segment, is soaking up engagement fast enough to make the rest of the top ten look almost stalled by comparison. A regional platform push or some kind of viral moment inside the Chinese social app market is probably behind it, since nothing else on the list comes close to that kind of surge. If you're scanning this list to spot rising categories, pull the karaoke app's number out first. Leave it in and that one outlier makes the whole list look far more dynamic than it really is, which can lead you to the wrong read on what's actually trending.
The average hides almost everything that matters
Across all 19,728 tracked apps, the average growth lands at 701.02, yet the highest recorded growth hits 6,415,055, more than 9,000 times that average. That gap shows the average isn't describing a typical app at all. A handful of extreme outliers pull the number upward while most apps barely move. Average volatility sits at 0.09, and this small figure points to the same story: for most apps in this population, average ratings hold steady between snapshots.
Put the two figures together and you can see the shape of the data. Rating counts spike hard for a few apps, but rating averages stay fixed for nearly everyone else. You need that asymmetry to read the data correctly. A burst in raw rating counts usually traces back to a single trigger event, a spike in engagement, while the average rating resists quick change even when volume surges. If you're building a momentum score from this data, treat count growth and rating volatility as separate signals: one is rare and spiky, the other stays calm and largely uniform across the 19,728 apps tracked.
The decliners list is a wall of zeros, not a ranked drop
Look down the top-decliners list, from Hadist Shahih Lengkap to Way of the Hunter Wild Europe to TCL TV Remote, and every single one shows a rating count of 0. Ten apps share that exact number, and there's nothing tying them together on paper: religious reference tools, weather apps, a soccer game, a QR generator. None of them slid down by a little or a lot compared to the rest. They're all just sitting at zero. That's worth pausing on, because it doesn't look like a slow bleed. A gradual decline would show apps losing ratings they'd already banked. This isn't that. These apps simply stopped picking up new ratings between snapshots. Given that the list spans prayer apps, remote-control utilities, and a niche sports title, a category-specific explanation doesn't hold up. What we're likely looking at is a lifecycle problem: these apps went quiet, dropped out of visibility, or got deprioritized somewhere along the way, rather than actively losing engaged users. So if someone's using this list to call out "declining" categories, that's the wrong read. Zero growth spread across such an unrelated group of apps points to individual apps going stale, not a downturn hitting a whole category.
Entertainment's growth score is more than five times Social Networking's
Entertainment posts a growth score of 6,549.0, more than five times the next category, Social Networking, which sits at 1,232.8, and over five times Utilities at 1,198.7. Productivity comes in further back at 810.8. Medical lands at the bottom of the list with a score of 186.1, roughly a 35-fold gap from the top category. Worth remembering: these are growth scores, not counts, so adding them up or converting them into shares of some bigger pool just doesn't work. Even so, the ranking tells a real story. Entertainment's massive lead traces straight back to the concentration we saw in the top-gainers list, where a single karaoke app dominated raw rating-count additions, and the Entertainment category classification appears to be soaking up that same surge. Music (218.2) and Medical (186.1) sit near the bottom, suggesting steadier, lower-amplitude engagement in those spaces, free of the viral spikes that can drag a whole category's growth score upward. Anyone watching category-level momentum should take away one thing from this: a category's aggregate growth score can just as easily be an artifact of one or two breakout titles as proof of broad-based category health. Rankings built this way need a cross-check against individual app data before anyone treats them as evidence of a category-wide trend.
Developer Tools swings the hardest on average ratings, everyone else barely moves
Developer Tools posts an average-rating volatility score of 0.5, which is roughly two and a half times what Graphics & Design and Sports show (both sitting at 0.2), and five times the reading you get from the pack parked at 0.1: Food & Drink, Reference, Navigation, Social Networking, Weather, Music, Utilities, Business, and Travel. Nine of the twelve categories here land on that exact same low number, so ratings across most consumer-facing app categories just don't shift much from one snapshot to the next. Developer Tools stands out because of who's actually using these apps. It's a smaller, more technical, more opinionated crowd, and a single bad update or breaking change can send ratings swinging in ways a weather app or music app never has to deal with. Graphics & Design and Sports sitting at double the baseline volatility tells a quieter version of the same story: people in those niche or feature-sensitive categories react a little more sharply than the folks using the broad utility categories underneath them. If average-rating instability is your early warning signal, watch Developer Tools closely. Travel, Music, and Utilities aren't going anywhere no matter what happens.
Free apps out-momentum paid apps by a factor of roughly 55, and that gap explains a lot
Free apps post a momentum score of 758.6. Paid apps sit at 13.8. That gap is stark, and paid app momentum barely registers next to it. It's a pattern that shows up everywhere else in this study too: the top-gainer list, the category growth rankings, the overall average growth figure, all of it traces back to high-volume, low-friction engagement. Free apps just fit that mold better. Paid apps need a purchase before anyone can even leave a rating, which shrinks the pool of people who'll ever bother reviewing them. A free app, on the other hand, lets anyone grab it and rate it on a whim. That friction gap explains the 758.6 versus 13.8 split far better than any difference in quality or satisfaction would, since this cut measures momentum, not how good the ratings actually are. If you're a developer or analyst tracking this metric, here's the takeaway: when rating-count momentum is your yardstick, pricing model carries much of the weight before content quality or marketing even enter the picture. Paid apps hit a lower volume ceiling here, and it has nothing to do with quality. Compare their momentum score against free apps without accounting for that ceiling, and paid software will always look stagnant, even when it isn't.
The bottom line
Here's the number that carries this whole study: 6,415,055. That's how much one app's rating count grew, and on its own it accounts for 67.9% of the entire top-gainers cut. Once you notice that, the overall average growth of 701.02 across 19,728 apps stops looking like a useful summary and starts looking like noise dressed up as signal. Momentum, it turns out, piles up in a handful of free, high-visibility apps rather than spreading evenly. Entertainment's growth score of 6,549.0 and free apps' momentum score of 758.6, set against paid apps' 13.8, both point in the same direction. Average-rating volatility, meanwhile, stays low almost everywhere, with Developer Tools the lone exception. So the finding worth holding onto is this: a small set of outlier apps is effectively writing the aggregate momentum figures at both the category and population level, and if you treat those figures as proof of broad category health or decline, you'll get it wrong more often than not.
Method & limitations
How this was made: this study is computed across 19,728 apps carrying the public App Store metadata it needs, drawn from our live index of 918,800 tracked apps, and is recomputed on a schedule. It is a large, representative sample of the store rather than every app in existence, and the figures shift over time as the store changes.
- Public metadata only. These figures come from what apps publicly list in the App Store. Downloads, revenue, retention and in-app subscription pricing are not visible to us — we name them, and we never estimate them.
- A large sample, not a census. The study runs across a representative slice of the store rather than every app in existence, so figures move as the store and our index change.
- Recomputed, not frozen. Numbers are recalculated on a schedule; a figure quoted elsewhere may differ from the one shown here after the next rebuild.
- No estimates or third-party numbers are used.
Common questions
Is the karaoke app's growth figure reliable or some kind of data error?
It is the figure as tracked: 6,415,055 rating-count additions, which is 67.9% of the 9,444,260 total in the top-gainers cut. There is no indication in the data that this is an error, it is simply an extreme outlier relative to the next closest app, My au, at 983,427 (10.4% of that same cut).
Why do the top-decliners all show exactly 0 rather than negative numbers?
Every app on the decliners list, from Hadist Shahih Lengkap to TCL TV Remote, is recorded at 0. That is a flat stop in rating-count accumulation across ten very different app types, which points to apps going quiet or losing visibility rather than a graded, ranked decline.
Which category should someone watch if they care about rating-average stability?
Developer Tools, with a volatility score of 0.5, is the clear outlier, running two and a half times higher than Graphics & Design and Sports (0.2 each) and five times higher than the nine categories sitting at 0.1, including Utilities, Music, and Travel.
Do free apps grow faster than paid apps just because they are free, or is it quality?
The momentum scores (758.6 for free versus 13.8 for paid) measure growth in rating activity, not quality. The likely driver is friction: free apps let anyone rate them instantly, while paid apps require a purchase decision first, which caps how many ratings can ever accumulate.
Data & citation
Original data from AppWanderer. Free to cite and quote with a link back to this page; the charts may be reused with attribution.
AppWanderer. “The Momentum Index.” https://appwanderer.com/studies/the-momentum-index (data updated 4 Sep 2026).