Ecommerce App Statistics (2026)

- Key ecommerce app statistics for 2026
- How large is the ecommerce app market?
- Are ecommerce apps growing faster than ecommerce websites?
- Which shopping apps lead by downloads and active users?
- Why downloads, engagement, and retention tell different stories
- What ecommerce app statistics still do not measure
- Methodology and definitions
- Conclusion
A download chart can make an ecommerce app look unstoppable just as engagement is softening. That is not a contradiction: an app download measures acquisition, while a session, daily active user (DAU), monthly active user (MAU), and retention cohort each measure a different part of the customer relationship.
Here is the short answer: ecommerce app statistics point to continued growth in reach, but they do not establish a single app-market total or prove shopping engagement after install. The most useful 2026 figures keep ecommerce-app, Shopping-app, and broader retail-app categories separate—and label estimates as estimates.
Key ecommerce app statistics for 2026
Global ecommerce-app downloads: Sensor Tower estimates annual worldwide ecommerce-app downloads rose from 4.36 billion in 2019 to 6.35 billion in 2025, or about 6.5% compound annual growth. Its estimates cover the Apple App Store and Google Play; they exclude pre-installs, duplicate downloads, third-party Android stores, and Google Play in Mainland China. Sensor Tower’s 2025 holiday-shopping report
Retail-app downloads and time spent: Sensor Tower reported 6.6 billion global retail-app downloads and 41.9 billion hours spent in retail apps in 2024. This is a broader retail-app category, not an ecommerce-app-only total. Sensor Tower’s State of Mobile Retail 2025
Retail-app scale in 2025: Sensor Tower reported more than 8.7 billion global retail-app downloads in 2025. It separately reported more than 400 billion retail-website visits; website visits are not app downloads. Sensor Tower’s APAC omnichannel retail report
Top Shopping-app downloads: AppTweak estimates the top 500 global Shopping apps received 1.3 billion downloads in Q1 2026 and 1.2 billion in Q2 2026, a 10.8% quarter-over-quarter decline. The estimate combines worldwide App Store and Google Play data. AppTweak’s 2026 Shopping-app report
Temu downloads: In the same AppTweak dataset, Temu had an estimated 133.9 million worldwide Shopping-app downloads in H1 2026. This is an app-intelligence estimate, not a Temu company disclosure.
TikTok Shop China downloads: FoxData reported 34.57 million downloads for TikTok Shop China in H1 2026 and ranked it No. 2 globally on iOS. This is FoxData’s app-intelligence measurement rather than a company-reported total. FoxData’s H1 2026 Shopping-app ranking
Apps versus websites: Similarweb estimates ecommerce-app sessions grew 13% year over year from July 2024–June 2025 compared with the prior 12 months, while ecommerce and shopping website visits fell 1%. These are estimated digital-activity measures, not revenue or conversion measurements. Similarweb’s 2025 global ecommerce release
Major-app MAUs: In that 2025 report, Similarweb estimated 651.7 million MAUs for Amazon apps, 392.8 million for Shopee, and 246.4 million for Temu. MAUs are not registered accounts, purchasers, or downloads.
Temu daily activity: FoxData estimated Temu’s Google Play average DAU exceeded 57 million in H1 2026 and peaked at 59.87 million; it added an estimated 30 million App Store DAU for a combined estimate near 90 million DAU. The store-level figures and combined total are estimates.
Black Friday acquisition versus engagement: Apptopia reported retailer-app downloads increased 9.7% year over year during the Black Friday 2025 holiday weekend, while time spent per DAU fell 18.2%. Apptopia’s Black Friday 2025 analysis
Ecommerce retention benchmark: UXCam places Day-30 ecommerce-app retention at about 3%–6% for strong performers in its 2026 benchmark guide. UXCam says the guide synthesizes three public sources and anonymized patterns from its customer base, so this is a vendor benchmark synthesis, not an audited market census. UXCam’s mobile-app retention benchmarks

Get the Mobile Testing Playbook Used by 800+ QA Teams
Discover 50+ battle-tested strategies to catch critical bugs before production and ship 5-star apps faster.
How large is the ecommerce app market?
No single public figure describes every ecommerce app. The closest directly labelled global trend is Sensor Tower’s estimate of ecommerce-app downloads: 4.36 billion in 2019 and 6.35 billion in 2025. That series answers an acquisition question—how often people downloaded apps—not how many people became active shoppers.
Broader retail-app totals provide context but should not be substituted for that ecommerce-app series. Sensor Tower’s 2024 retail category included 6.6 billion downloads and 41.9 billion hours spent, while its 2025 retail-app figure exceeded 8.7 billion downloads. “Retail” can include apps beyond a narrowly defined ecommerce category, so the label changes what the statistic can support.
Measure | Figure | Period and coverage | Evidence type |
Ecommerce-app downloads | 6.35 billion | Global, 2025; App Store and Google Play with stated exclusions | Sensor Tower estimate |
Retail-app downloads | 6.6 billion | Global, 2024 | Sensor Tower estimate |
Retail-app time spent | 41.9 billion hours | Global, 2024 | Sensor Tower estimate |
Retail-app downloads | More than 8.7 billion | Global, 2025 | Sensor Tower estimate |
For an acquisition view of large Shopping apps, AppTweak’s top-500 dataset offers a tighter, explicitly bounded comparison. Its Q1-to-Q2 decline shows why an annual headline can hide a short-term slowdown. It also does not reveal whether the people who downloaded an app returned, purchased, or encountered a reliable checkout.
Are ecommerce apps growing faster than ecommerce websites?
The available estimates point to app and web activity moving differently, not to apps replacing the web. Similarweb estimated a 13% year-over-year rise in ecommerce-app sessions for July 2024 through June 2025 while ecommerce and shopping website visits declined 1% over the comparison period. Sessions describe interactions in apps; visits describe activity on websites. Neither measure is revenue.
Similarweb’s September 2026 release described ecommerce-app sessions as growing at roughly 1.3 times the rate of web visits and said ecommerce-website traffic was up 6.8% year over year. It also reported that 86.5% of U.S. consumers said they primarily shop on a smartphone or tablet. The latter is a consumer survey response, not observed transaction behavior. Similarweb’s 2026 ecommerce release
Use those measures for channel direction, not for an app-versus-browser sales split. Public sources in this research set do not provide a neutral, comparable global revenue split between ecommerce apps and browsers.
Which shopping apps lead by downloads and active users?
The answer depends on the metric. AppTweak estimated 133.9 million H1 2026 downloads for Temu in its worldwide Shopping category. FoxData’s estimate instead places Temu near 90 million DAU across Google Play and the App Store in H1 2026. Similarweb’s 2025 MAU estimates put Amazon apps at 651.7 million, Shopee at 392.8 million, and Temu at 246.4 million.
Those figures cannot be arranged as though they were one league table. Downloads count acquisition events in a defined period; DAU counts estimated daily users; MAU counts estimated monthly users. They use different providers, methods, store coverage, and periods.
Sensor Tower also estimated that Temu had exceeded 1.2 billion cumulative global downloads by October 2025 and reached a record 530 million MAUs in August 2025. These estimates differ from Similarweb’s Temu MAU estimate because the sources and measurement periods differ; neither should be silently treated as a company disclosure.
TikTok Shop China illustrates the same point. FoxData reported 34.57 million H1 2026 downloads and an iOS ranking, which is useful for a download-ranking discussion but not evidence of revenue, customer lifetime value, or transaction volume.
Why downloads, engagement, and retention tell different stories
An app download indicates that a person acquired an app. It does not establish repeat use. Sessions, hours spent, DAU, and MAU describe activity at different time windows, while retention asks whether an installed cohort returned after a defined interval.
Apptopia’s Black Friday 2025 measurement is a useful example. Retailer-app downloads were up 9.7% year over year during the holiday weekend, yet time spent per DAU was down 18.2%. You can reasonably describe this as acquisition and per-user engagement moving in opposite directions during that event; you cannot infer checkout conversion or revenue from it.
If your question is whether new users remain active, use a cohort-specific retention measure instead of a download total. For broader context on retention definitions and benchmarks, see Quash’s mobile app retention statistics guide. Its purpose is different from this ecommerce app statistics report: retention needs a cohort and a return window, while download reports measure acquisition.
A syndicated Adjust summary adds a further directional benchmark: MarTechCube reported Adjust findings that global shopping-app sessions rose 15% year over year and ecommerce-app installs rose 2% in H1 2026. Because the directly verified source is a summary of an Adjust release, this should be treated as secondary reporting of an Adjust benchmark, not as an independently verified market total. MarTechCube’s Adjust summary
What ecommerce app statistics still do not measure
The public record is rich in modeled downloads and usage estimates but thin on neutral, cross-company outcomes after install. It does not supply a defensible global ecommerce-app conversion rate, a comparable app-versus-browser revenue split, or an audited cross-company checkout-reliability rate.
That gap matters when you are using market statistics to make a product or QA decision. App growth can describe reach without telling you whether users complete checkout, return after their first session, or hit a release-specific defect. A vendor’s retention benchmark can help you frame a question, but it is not a universal baseline for every ecommerce app.
No first-party Quash data covers ecommerce-app market statistics. Quash has not published telemetry, recurring bug-pattern data, customer language, or a completed experiment that would connect these market figures to checkout reliability or post-install behavior. The missing link is therefore evidence, not an assumed relationship between app growth and app quality.
Methodology and definitions
This report uses “ecommerce app statistics” as a reader-facing umbrella, then retains each provider’s category label in the figure itself. That is necessary because ecommerce app, Shopping app, and retail app overlap but are not identical datasets.
Treat the measures as separate:
Downloads and installs measure acquisition events during a period.
Sessions and hours spent measure activity, not necessarily unique people or purchases.
DAU and MAU estimate active users over daily and monthly windows.
Retention measures return behavior for a defined install cohort and interval.
Website visits are web activity, not app sessions.
Surveys record what respondents say; they do not directly observe behavior.
Most headline figures here are app-intelligence estimates from vendors, rather than company disclosures. The sources also vary in geography and platform coverage. Sensor Tower specifies App Store and Google Play coverage with exclusions in its ecommerce-app trend; AppTweak combines worldwide App Store and Google Play estimates for its Shopping category; FoxData reports its own app-intelligence estimates. Preserving those boundaries is more useful than producing a false single total.
Conclusion
Use ecommerce app statistics to match the decision in front of you. A download trend can support a statement about acquisition, an MAU or DAU estimate can frame audience scale, and a retention cohort can test durability. None substitutes for the others.
For a credible 2026 comparison, keep the category, geography, platform coverage, period, and evidence type beside the number. That lets you use the data without claiming more than it measures.








