
App Usage Statistics to Grow User Engagement in 2026
Most "app usage statistics" posts still in circulation cite numbers from 2021 or 2022, often with no source attached. This refresh replaces every figure with data published in 2025 and 2026, attributed to its original source, covering downloads, time-in-app, retention by category, and what social features actually do to engagement.
Most "app usage statistics" posts still in circulation cite numbers from 2021 or 2022, often with no source attached. This refresh replaces every figure with data published in 2025 and 2026, attributed to its original source, covering downloads, time-in-app, retention by category, and what social features actually do to engagement.
The lens here comes from social.plus's own product: in-app community infrastructure (APIs, SDKs, and UIKit) that brands and apps use to add chat, feeds, and groups to an existing product. So the data below is filtered accordingly, covering not just how big the app market is, but what predicts whether a user opens an app again tomorrow.
Two benchmark sets anchor this refresh. Download, spend, and time-in-app figures come from Sensor Tower's State of Mobile 2026 report, the annual industry benchmark for aggregate iOS and Google Play activity. Retention-by-category figures come from a 2025-2026 compilation by UXCam that draws on AppsFlyer's State of App Marketing 2025, Adjust's Mobile App Trends 2026, and data.ai's State of Mobile 2026. Where a widely repeated statistic could not be traced to a primary source, it was left out rather than carried forward.
Key takeaways
Global app downloads reached nearly 150 billion across iOS and Google Play in 2025, up only 0.8% year-over-year, meaning acquisition has effectively plateaued.
Users spent 5.3 trillion hours inside iOS and Google Play apps in 2025, an average of roughly 3.6 hours per person per day.
Median Day-30 retention across all app categories is just 4%, while social apps hold a median of 12%, about three times higher.
Consumer in-app spending hit $167 billion in 2025, and non-gaming apps outpaced games in purchase-revenue growth for the first time.
Social, productivity, and streaming apps post the strongest 30-day retention; e-commerce and gaming apps see the steepest early drop-off.

Top app usage statistics for 2026
| Metric | 2025 figure | Source |
|---|---|---|
| Total app downloads (iOS + Google Play) | ~150 billion (+0.8% YoY) | Sensor Tower, State of Mobile 2026 |
| Total hours spent in apps | 5.3 trillion (+3.8% YoY) | Sensor Tower, State of Mobile 2026 |
| Average daily time in apps, per user | ~3.6 hours | Sensor Tower, State of Mobile 2026 |
| Consumer in-app spend | $167 billion (+10.6% YoY) | Sensor Tower, State of Mobile 2026 |
| Non-gaming in-app purchase growth | +21% YoY (vs. +1.3% gaming) | Sensor Tower, State of Mobile 2026 |
| Apps used per person | ~10 daily / ~34 monthly | Sensor Tower, State of Mobile 2026 |
| Median Day-30 retention, all categories | 4% | AppsFlyer, Adjust & data.ai, compiled by UXCam (2025-2026) |
| Median Day-30 retention, social apps | 12% | AppsFlyer, Adjust & data.ai, compiled by UXCam (2025-2026) |

How many people are still downloading apps in 2026
Global downloads plateaued at nearly 150 billion across iOS and Google Play in 2025, a 0.8% increase over 2024, according to Sensor Tower's State of Mobile 2026 report. That flat line matters more than the raw total: for most of the last decade, download growth was the default signal of a healthy app market, and it has stopped moving.
Spending tells a different story. Consumers put $167 billion into in-app purchases in 2025, a 10.6% year-over-year increase, and non-gaming apps drove most of the growth: non-gaming in-app purchase revenue rose 21% year-over-year, well ahead of gaming's 1.3%, marking the first year non-gaming categories outpaced games on purchase-revenue growth. Generative AI apps were the fastest-growing segment by a wide margin: downloads doubled year-over-year to 3.8 billion, and revenue nearly tripled past $5 billion.
For brands and apps, this is the argument for building deeper engagement rather than buying more installs. With new-user acquisition roughly flat, the apps capturing a larger share of that $167 billion are the ones giving existing users more reasons to return and spend, not the ones spending more on ads aimed at first-time downloads. Consumer spend growing faster than downloads is also a signal about where a marginal dollar of product investment now pays off: an existing user who returns and spends is doing more for the business than an install that never opens the app a second time.


How much time people actually spend in apps
People spent 5.3 trillion hours inside iOS and Google Play apps in 2025, up 3.8% from 2024, which works out to roughly 3.6 hours per person per day, according to Sensor Tower's State of Mobile 2026 report. That time is concentrated on a small slice of what's installed: the average user opens around 10 apps a day and about 34 across a full month, out of the dozens of apps sitting on a typical device.
Generative AI apps show where new time is going. Engagement in AI apps reached 48 billion hours in 2025, roughly 3.6 times the total logged in 2024, and session volume in the category passed one trillion for the first time. That growth has to come from somewhere: as newer categories claim a larger share of a roughly fixed 3.6 daily hours, apps without a clear reason to open daily lose share of attention, even when they aren't losing installs.

What counts as a good app retention rate right now
A "good" Day-30 retention rate depends almost entirely on category. The all-category median sits at just 4%, but social apps post a median of 12%, about three times higher, and top-quartile social apps reach 15-20%, according to 2025-2026 benchmark data from AppsFlyer, Adjust, and data.ai, compiled by UXCam. Day-1 retention shows a similar spread: a 25% median across all categories versus a 40% median for social apps. Treat these as directional benchmarks rather than exact targets: different tracking methodologies and cohort definitions produce different absolute numbers, but the relative gap between social apps and the rest of the market shows up consistently across sources.
| Category | Day-1 median | Day-7 median | Day-30 median |
|---|---|---|---|
| All categories | 25% | 8% | 4% |
| Social | 40% | 18% | 12% |
| Productivity | 30% | 15% | 8% |
| Streaming & media | 35% | 15% | 7% |
| Fintech | 28% | 12% | 7% |
| Health & fitness | 25% | 10% | 5% |
| Gaming | 32% | 8% | 3% |
| E-commerce | 18% | 5% | 2% |
Source: AppsFlyer's State of App Marketing 2025, Adjust's Mobile App Trends 2026, and data.ai's State of Mobile 2026, as compiled by UXCam.
Two patterns hold across this data. First, categories built around checking in on other people (social apps, and to a lesser extent fintech and productivity tools with shared workspaces) retain longer than categories built around a single transaction, like e-commerce. Second, the gap between "strong performer" and "median" is wide within every category, which suggests retention is driven far more by what an app does after install than by which category it's filed under.


Which app categories have the highest engagement
Social and streaming/media apps post the highest Day-30 retention of any category in current benchmark data, while e-commerce and gaming apps see the sharpest fall-off after the first week. That pattern tracks with something simpler than category labels: whether the app gives someone a reason tied to other people, not just to the app itself.
Fintech and productivity apps sit in between for a related reason. Banking apps get frequent, short sessions driven by trust and necessity rather than social pull, while productivity tools with shared documents or workspaces borrow some of the same "other people are waiting on me" dynamic that keeps social apps sticky. Gaming and e-commerce apps, by contrast, retain well when there's an active session or a live promotion, then drop off quickly once that specific reason to return disappears.
This is also where category comparisons can mislead a specific team. An app doesn't inherit its category's retention curve automatically; it inherits the category's typical mechanics unless the product changes them. A gaming app that adds persistent guilds or a fintech app that adds shared budgets is borrowing a social mechanic from a higher-retention category, and the benchmark data suggests that borrowing tends to move the needle.

What social and community features do for engagement
Social apps post a Day-30 retention median three times higher than the all-category median (12% versus 4%), per 2025-2026 AppsFlyer, Adjust, and data.ai benchmark data, which is the clearest data point available on what a social layer is worth to retention. The mechanism is straightforward: a feed, a chat, or a group gives a user a reason to come back that has nothing to do with the app's core transaction, and that reason compounds as social connections and shared history accumulate inside the app. It also raises the cost of leaving. A user can delete a shopping app without losing anything; a user rarely walks away as easily from a community where they have followers, saved conversations, or an active group.
This is the layer social.plus provides: APIs, SDKs, and UIKit that let brands and apps add chat, feeds, and groups to an existing product without building that infrastructure from scratch. Our analytics tooling connects in-app engagement data back to the same categories of benchmarks referenced above, so a team can see whether its own community features are moving retention in the right direction.
We've covered the mechanics of this in more depth elsewhere: why social features are crucial for in-app user engagement, 10 app engagement strategies that drive results, and 4 strategies to ensure mobile app user retention all go further into implementation.


Turning these benchmarks into a strategy
None of these retention benchmarks guarantee an outcome for any specific app. Retention depends on implementation quality, the strength of the use case, and how much ongoing effort a team puts into the community layer, not just whether a chat feature exists. What the data does establish is a baseline: know your category's median and top-quartile retention, and treat the gap between them as the space that product and community decisions actually influence.
Three questions follow directly from the benchmarks above. Does your app currently give users a reason to return that isn't tied to a single transaction? Where does your Day-1 and Day-30 retention sit relative to your category's median in the table above? And if social or community features aren't part of the product yet, what would it take to add them without a multi-quarter build?
Ready to talk it through? talk to our team about how social.plus's infrastructure fits into an existing app.

FAQ
How much time do people spend in apps?
People spent an average of roughly 3.6 hours per day in mobile apps in 2025, totaling 5.3 trillion hours across iOS and Google Play for the year, according to Sensor Tower's State of Mobile 2026 report. That time is spread thin: the average user opens around 10 apps a day and about 34 across a full month.
What is a good app retention rate?
A good Day-30 retention rate depends on category: the all-category median is about 4%, while social apps median around 12% and top performers reach 15-20%, per 2025-2026 AppsFlyer, Adjust, and data.ai benchmark data compiled by UXCam. The right target for any specific app is its own category's top quartile, not a single number that applies across the whole market.
Which app categories have the highest engagement?
Social, productivity, and streaming/media apps post the strongest Day-30 retention in current benchmark data, while e-commerce and gaming apps see the steepest drop-off after the first week. The common thread among the higher-retention categories is a reason to return that involves other people, not just the app's core transaction.