Mobile Ecommerce Statistics 2026: M-Commerce Sales, Conversion and Checkout Trends
Mobile commerce is now the primary way consumers access ecommerce.
Mobile devices generate roughly three-quarters of ecommerce traffic in one major benchmark, more than half of US holiday ecommerce revenue and 70% of orders during Cyber Week. Digital wallets now account for most global online payment value.
But mobile dominance does not mean the mobile shopping experience is efficient.
Mobile carts are abandoned more frequently than desktop carts. Mobile orders tend to be smaller. JavaScript errors, slow loading and failed integrations continue to affect a measurable share of retail sessions.
This report compiles the latest mobile ecommerce statistics covering sales, traffic, conversion rates, cart abandonment, average order value, digital wallets, BNPL and mobile checkout performance.
Key mobile commerce statistics for 2026
Mobile generated approximately 76% of ecommerce traffic over the previous 12 months.
Mobile accounted for 63.5% of sales in IRP Commerce’s June 2026 UK and Irish merchant benchmark.
Smartphones generated 56.4% of US online holiday revenue in 2025.
Mobile devices produced 70% of global and US Cyber Week orders.
Dynamic Yield reported a mobile ecommerce conversion rate of approximately 2.9%.
Mobile cart abandonment was approximately 80%, compared with roughly 67–69% on desktop.
Mobile average order value was approximately $165, compared with around $260 on desktop.
Digital wallets represented 56% of global ecommerce transaction value in 2025.
Website errors or crashes were cited by approximately 15% of shoppers who abandoned checkout in Baymard’s survey.
JavaScript errors caused frustration in 17.8% of retail sessions, according to Contentsquare.
API errors increased 16% year over year as retail experiences became more dependent on third-party services.
BNPL generated approximately $300 billion in global ecommerce value in 2025.
These figures measure different parts of the ecommerce journey. Traffic share, order share, revenue share and payment-method share should not be combined into one universal “mobile commerce share” statistic.
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What is mobile commerce?
Mobile commerce, also called m-commerce, refers to transactions completed through smartphones or tablets.
It includes:
Purchases through native retail applications
Transactions completed through mobile browsers
Mobile food delivery and ticket bookings
Social commerce
In-app purchases
Mobile banking and fintech transactions
Payments made using mobile wallets
Buy now, pay later purchases initiated on mobile
M-commerce is part of ecommerce, but the two terms are not identical. Every mobile commerce transaction is ecommerce, while desktop ecommerce is not mobile commerce.
Digital-wallet usage is also not the same as mobile commerce. A wallet such as PayPal may be used on desktop, while a mobile shopper may complete a purchase using a manually entered card.
How big is the mobile commerce market?
Published estimates place the global mobile commerce market at approximately $2.4 trillion to $2.8 trillion in 2026.
Fortune Business Insights estimates a $2.42 trillion market in 2026, rising to $5.01 trillion by 2034.
Mordor Intelligence estimates a larger $2.82 trillion market in 2026 and forecasts it reaching $4.16 trillion by 2031.
These estimates should be treated as directional rather than definitive. Research firms may include different combinations of:
Retail ecommerce
Mobile payments
Ticketing
Travel bookings
Financial transactions
Digital services
In-app commerce
Transaction, traffic and conversion datasets provide a more reliable view of how mobile commerce currently behaves.
Mobile vs desktop ecommerce statistics
Mobile generates approximately 76% of ecommerce traffic
The Dynamic Yield device-usage benchmark reports that mobile generated approximately 76% of ecommerce traffic over the previous 12 months.
Desktop accounted for roughly 23%, while tablets generated around 1%.
Mobile was also responsible for:
65% of new users
81% of returning visitors
Dynamic Yield’s figures are based on a live trailing-12-month benchmark covering more than 300 million sessions across over 400 brands. Because the dashboard updates continuously, the exact values should be checked and marked with an access date before publication.
Mobile produced 63.5% of sales in IRP Commerce’s June benchmark
Mobile devices accounted for 63.5% of ecommerce sales in the June 2026 IRP Commerce benchmark.
Desktop generated approximately 35%, while tablets contributed around 1.4%.
This is not a global statistic. IRP’s dataset primarily covers B2C retailers operating in Great Britain, Northern Ireland and Ireland.
Smartphones generated 56.4% of US holiday ecommerce revenue
US shoppers spent a record $257.8 billion online between November 1 and December 31, 2025, according to the Adobe Holiday Shopping Report.
Smartphones generated 56.4% of that revenue, up from 54.5% in 2024.
Adobe described 2025 as the first full year in which mobile produced more than half of online spending across its US retail dataset. On Christmas Day, mobile’s share reached 66.5%.
Mobile drove 70% of Cyber Week orders
Salesforce analysed activity from more than 1.5 billion shoppers during Cyber Week 2025.
Mobile devices generated 70% of online orders, both globally and in the United States.
This figure represents order share during a major promotional period. It should not be interpreted as mobile’s annual share of global ecommerce revenue.
What is the average mobile ecommerce conversion rate?
There is no universal mobile ecommerce conversion rate.
Dynamic Yield reports a trailing-12-month mobile conversion rate of approximately 2.9%, compared with around 2.5% on desktop.
Contentsquare’s separate 2026 benchmark reports:
2% conversion on mobile
3.4% conversion on desktop
The disagreement is not necessarily an error. Conversion rates vary according to:
Mobile web versus native-app traffic
Returning versus first-time shoppers
Merchant size and brand familiarity
Product category
Purchase value
Geographic market
Traffic source
Conversion-event definition
Whether the dataset counts users, visits or sessions
Claims such as “mobile always converts at half the desktop rate” are therefore not reliable.
The useful benchmark is the one closest to a retailer’s own customer journey, device mix and industry.
Ecommerce conversion rates by industry
Dynamic Yield’s trailing-12-month benchmark shows substantial differences between ecommerce categories:
Beauty and personal care: 5.37%
Food and beverage: 5.03%
Pet care and veterinary services: 4.40%
Multi-brand retail: 3.15%
Fashion, accessories and apparel: 2.81%
Consumer goods: 2.43%
Home and furniture: 1.20%
Luxury and jewellery: 0.71%
These are overall ecommerce conversion rates, not confirmed mobile-only benchmarks.
Lower conversion in categories such as luxury and furniture does not necessarily indicate a poor shopping experience. Higher prices and longer consideration cycles naturally reduce the number of visits that end in an immediate purchase.
Mobile cart abandonment rate statistics
Mobile commerce has a substantial abandonment problem.
Dynamic Yield’s live benchmark places the mobile cart abandonment rate at approximately 80%. Desktop abandonment currently sits around 67–69%, depending on the dashboard snapshot.
This means mobile abandonment is roughly 11–13 percentage points higher than desktop.
Baymard Institute’s broader aggregation of ecommerce studies places the average cross-device cart abandonment rate at approximately 70%.
The two figures should not be averaged. Dynamic Yield and Baymard use different merchants, timeframes and methodologies.
Why shoppers abandon checkout
Baymard’s survey found that 43% of shoppers had abandoned a cart because they were browsing or were not ready to buy.
After excluding those low-intent shoppers, the leading reasons included:
Unexpected additional costs
Slow delivery
Lack of trust in the website
Forced account creation
A long or complicated checkout
An unsatisfactory returns policy
Website errors or crashes
Unclear total order cost
Insufficient payment options
Declined cards
Approximately 15% of respondents cited website errors or crashes as a reason for abandoning checkout in the current survey edition.
This does not mean that 15% of all abandoned carts are caused by software defects. Baymard’s results are self-reported, and several issues may contribute to the same abandoned purchase.
Baymard estimates that approximately $260 billion in abandoned ecommerce orders across the US and Europe may be recoverable through checkout improvements.
Its research also estimates that a large ecommerce site could potentially increase conversion by as much as 35.26% through better checkout design.
That is a checkout-optimisation estimate. It is not evidence that QA automation alone produces a 35% conversion increase.
Mobile orders are smaller than desktop orders
Dynamic Yield currently reports an average order value of approximately:
$165 on mobile
$260 on desktop
$160 on tablet
Mobile average order value is therefore around 36% lower than desktop AOV.
This creates an important tension in mobile vs desktop ecommerce:
Mobile generates most ecommerce traffic.
Mobile produces a large share of transactions.
Mobile carts are abandoned more frequently.
Desktop shoppers place larger orders.
A retailer can therefore have strong mobile traffic growth while still losing revenue through checkout friction, lower basket sizes or failed payment journeys.
Mobile payment trends and digital wallet statistics
Digital wallets account for 56% of online spending
Digital wallets represented 56% of global ecommerce transaction value in 2025, compared with 33% of in-person transaction value.
The figure comes from Worldpay’s Global Payments Report 2026, which draws on data from more than 63,000 consumers across 42 markets.
During Cyber Week 2025, mobile wallets were used for:
27% of global online orders
29% of US online orders
Wallet adoption varies significantly between countries. Supporting only globally recognised wallets may leave regional customer demand unmet.
BNPL generated approximately $300 billion in ecommerce value
Worldpay estimates that buy now, pay later applications generated approximately $300 billion in global ecommerce value in 2025.
It forecasts that figure reaching $500 billion by 2030.
Adobe separately measured $20 billion in US BNPL spending during the 2025 holiday season, an increase of 9.8% from 2024.
The growth of wallets and BNPL makes mobile checkout more complex. A single transaction may move through:
The ecommerce application
An operating-system wallet
A payment gateway
A card network
A 3DS or OTP screen
A banking application
A BNPL provider
The merchant backend
An order-management system
A successful confirmation screen does not guarantee that every system recorded the transaction correctly. UI validation should therefore be combined with backend validation during mobile testing.
Technical problems affect a measurable share of retail sessions
The Contentsquare 2026 Digital Experience Benchmark analysed 99 billion web and app sessions across more than 6,500 websites.
Across the full dataset:
Traffic declined 3.8% year over year
Engagement declined 10%
Conversion declined 5.1%
Sessions displaying frustration signals declined 4.3%
Conversion is affected by more than technical quality. Traffic intent, pricing, competition and economic conditions also influence performance.
The retail-specific results provide a clearer connection between technical issues and customer experience:
JavaScript errors created frustration in 17.8% of retail sessions
Load-time frustration affected 11.6%
Rage clicks occurred in 5.3%
API errors increased 16% year over year
Contentsquare links the increase in API errors to ecommerce experiences becoming more dependent on third-party integrations.
It does not claim that every affected session resulted in an abandoned purchase. The figures show how often technical friction appears, not the exact revenue it caused.
What can a mobile checkout failure cost?
The revenue exposed to a mobile checkout issue depends on three inputs:
Monthly mobile sessions × conversion-rate loss × mobile average order value
Using a mobile AOV of $165 as an illustrative benchmark:
A 0.1-percentage-point conversion loss across 100,000 sessions exposes $16,500 in monthly gross revenue.
A 0.5-percentage-point loss exposes $82,500.
A 1-percentage-point loss exposes $165,000.
This does not estimate the average cost of a mobile bug.
It is a scenario model showing how small conversion-rate differences scale across large volumes of mobile traffic. It represents gross revenue exposure rather than profit and does not account for:
Recovered carts
Repeat purchases
Refunds
Customer acquisition cost
Shoppers who complete the purchase through another device
Conversion losses caused by pricing, demand or traffic quality
What ecommerce teams should test on mobile
Revenue-critical mobile testing should focus on complete purchase journeys rather than isolated screens.
Cart and pricing
Test:
Adding, updating and removing products
Inventory changes after products enter the cart
Promo codes and discount stacking
Taxes, shipping fees and currency conversion
Free-shipping thresholds
Price consistency across product, cart and checkout screens
Customer and delivery information
Cover:
Guest checkout
Account creation during checkout
Login and session expiry
Autofill and saved addresses
Address validation
Postal-code errors
Mobile keyboard behaviour
Returning users with incomplete profiles
Payments
Validate:
Credit and debit cards
Apple Pay and Google Pay
Regional wallets
BNPL
OTP and 3DS authentication
Declined cards
Payment retries
Duplicate taps and duplicate charges
Returning from external banking or wallet applications
Mobile interruptions
Test what happens when users:
Switch applications during payment
Background and reopen the commerce app
Lose their network connection
Receive notifications or calls
Rotate the device
Encounter permission prompts
Resume after a low-memory restart
Post-payment systems
Confirm that:
The payment provider reports the correct status
The order is created in the backend
Inventory is updated
Confirmation messages are sent
Loyalty points are added
Analytics events fire once
Failed payments enter reconciliation correctly
A confirmation screen alone is not proof of a successful transaction.
Quash’s retail app testing platform helps teams test mobile journeys such as browsing, pricing, cart management and checkout across devices. These journeys can combine user-interface checks with API and backend validation without relying entirely on manually written test scripts.
Related Quash resources include:
Mobile commerce trends to watch in 2026
Mobile is becoming the default ecommerce surface
Mobile already generates most ecommerce traffic and a majority of transactions in several major datasets.
The operational question is no longer whether customers will shop on mobile. It is whether the mobile journey delivers the same reliability and commercial value as desktop.
Payment localisation is becoming more important
Digital wallets lead global ecommerce payments, but preferred payment methods differ by market.
International retailers need to test regional wallets, bank redirects and country-specific payment flows rather than assuming cards, Apple Pay and Google Pay cover every customer.
Checkout journeys depend on more third-party services
Wallets, BNPL providers, tax engines, fraud systems, delivery platforms and inventory services all introduce external dependencies.
Contentsquare’s reported 16% increase in API errors suggests that integration reliability is becoming a larger part of the ecommerce experience.
Traffic dominance does not guarantee revenue efficiency
Mobile brings the largest audience into the funnel, but mobile carts are still abandoned more frequently and mobile orders are smaller on average.
Retailers should measure the complete funnel rather than treating mobile traffic growth as proof of mobile-commerce success.
Peak shopping periods increase the cost of failure
Adobe and Salesforce show that mobile’s share rises during major shopping periods.
Those same periods bring heavier system load, stronger purchase intent and a higher commercial cost when checkout or payment flows fail.
Frequently asked questions
What percentage of ecommerce is mobile?
It depends on what is being measured.
Mobile generated approximately 76% of traffic in Dynamic Yield’s benchmark, 56.4% of US holiday ecommerce revenue in Adobe’s dataset, 63.5% of sales in IRP Commerce’s June 2026 UK and Irish panel, and 70% of Cyber Week orders in Salesforce’s analysis.
These figures should not be merged into one global percentage.
What is the average mobile ecommerce conversion rate?
Dynamic Yield reports a mobile conversion rate of approximately 2.9%, while Contentsquare reports a 2% mobile conversion rate in a separate dataset.
Conversion varies by industry, traffic source, customer type, platform and methodology.
What is the average mobile cart abandonment rate?
Dynamic Yield’s current benchmark places mobile cart abandonment at approximately 80%.
Baymard’s aggregated cross-device average is approximately 70%.
Why is mobile cart abandonment so high?
Some shoppers are simply browsing or comparing prices. Others abandon because of unexpected costs, slow delivery, forced account creation, trust concerns, complicated checkout, missing payment methods or technical errors.
No single factor explains the entire mobile abandonment rate.
Does mobile convert better than desktop?
There is no universal answer.
Dynamic Yield currently reports slightly higher conversion on mobile, while Contentsquare reports higher conversion on desktop. Retailers should measure mobile web and native-app traffic separately.
What are examples of mobile commerce?
Mobile commerce includes purchases through retail apps, mobile browser checkouts, food delivery, travel bookings, ticket purchases, social commerce, in-app purchases and digital-wallet payments.
What is the difference between ecommerce and m-commerce?
Ecommerce includes purchases made through any digital device. M-commerce refers specifically to purchases made through smartphones and tablets.
Methodology and limitations
This report prioritises first-party platform benchmarks and primary research from Adobe, Salesforce, Worldpay, Dynamic Yield, Baymard, Contentsquare and IRP Commerce.
Important limitations include:
Dynamic Yield metrics are live trailing-12-month figures and change as the dashboard updates.
Adobe’s data covers US holiday ecommerce rather than global annual spending.
Salesforce’s figures cover Cyber Week, when mobile usage and purchase intent are unusually high.
IRP Commerce primarily represents UK and Irish B2C merchants.
Baymard’s abandonment reasons are self-reported by US shoppers.
Industry conversion rates cover all devices rather than mobile alone.
Market-size forecasts use different definitions and cannot be treated as directly comparable.
Traffic share, order share, revenue share and payment share measure different parts of ecommerce.
All live figures should be rechecked and date-stamped when this article is published or updated.
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