Fashion E-Commerce Statistics 2026 edition.
A curated, year-stamped reference of statistics on fashion e-commerce, product imagery, returns, and AI adoption. Every figure is quoted as its publisher reported it and linked to its original source.
Last updated: June 12, 2026
Fashion e-commerce, in six numbers.
A snapshot of the figures the rest of this page unpacks, each attributed to its publisher.
Global fashion e-commerce revenue, 2026
StatistaShare of US online sales returned, 2025
NRFAverage online apparel return rate, 2023
CoresightFashion executives already using generative AI, 2025
McKinsey / BoFCost of one traditional on-model image
On-Model analysis 2026Cost of one AI-generated catalog image
On-Model analysis 2026How big is fashion e-commerce?
Publishers measure the market differently, so totals diverge.
The market size you cite depends on whose definition you use. Statista reports B2C revenue, ECDB models gross merchandise value across a broader category mix, and eMarketer uses a narrower country-level scope. The numbers below are therefore not interchangeable, and each should be attributed to its publisher rather than blended into one total.
| Statistic | Figure | Year | Source |
|---|---|---|---|
| Global fashion e-commerce revenue (Statista B2C forecast) | US$957.31bn | 2026 | Statista |
| Forecast CAGR 2026–2030, reaching US$1.16tn by 2030 | 4.91% → US$1.16tn | 2030 | Statista |
| Worldwide fashion e-commerce GMV (ECDB proprietary model) | ~US$1.31tn | 2025 | ECDB |
| Online channels as a share of worldwide fashion revenue (ECDB) | 35–40% | 2025 | ECDB |
| Worldwide fashion e-commerce YoY revenue growth (ECDB range) | 5–10% YoY | 2025 | ECDB |
| Apparel share of worldwide fashion e-commerce revenue (ECDB) | 52% | 2025 | ECDB |
| Largest single fashion e-commerce market, the United States (Statista) | US$241.25bn | 2026 | Statista |
| Global online fashion users; penetration rising 28.4% → 30.6% (Statista) | 2.2bn users | 2026–2030 | Statista |
| Germany fashion e-commerce sales (eMarketer, narrower scope) | US$20.76bn | 2025 | eMarketer |
| Germany fashion e-commerce sales forecast to surpass US$22bn (eMarketer) | >US$22bn | 2027 | eMarketer |
| Projected global fashion industry growth (McKinsey / BoF) | low single-digit | 2026 | McKinsey / BoF |
Imagery is the product page.
Image quality, completeness, and on-model context shape whether shoppers buy.
The pattern across surveys is consistent: shoppers abandon purchases when imagery is missing, low quality, or inconsistent, and most product pages still fall short on usability. Baymard’s qualitative work also finds that showing apparel on a human model is essential to purchase confidence. One row below, the 66% wanting at least three images, is older 2016 data, kept only because no newer replication exists and labeled accordingly.
| Statistic | Figure | Year | Source |
|---|---|---|---|
| Shoppers who will not buy if images are missing or low quality (Salsify) | 30% | 2022 | Salsify |
| Shoppers who will not buy without detailed product information (Salsify) | 46% | 2022 | Salsify |
| Shoppers who abandoned a purchase over inconsistent content across channels (Salsify) | 54% | 2025 | Salsify |
| Benchmarked US/EU sites with decent or good product-page UX (327 sites, Baymard) | 49% | post-2021 | Baymard Institute |
| Baymard PDP research basis: test participants and observed usability issues | 20,240 participants; 1,300+ issues | methodology | Baymard Institute |
| Apparel shown on a human model is essential for purchase confidence (usability finding) | qualitative | 2020 | Baymard Institute |
| Shoppers who want at least three product images before buying (older data, no newer replication) | 66% | 2016 | Salsify |
Returns, and why imagery matters.
Online apparel returns run far above overall retail, and listings that mislead drive them.
Returns are where weak product information becomes a direct cost. Online apparel return rates sit well above the overall retail average, size and appearance are the leading reasons, and a large share of shoppers report returning items that did not match the online listing. The figures below span US, UK, and global sources, each measuring a slightly different population.
| Statistic | Figure | Year | Source |
|---|---|---|---|
| US merchandise returned, equal to 15.8% of annual retail sales (NRF & Happy Returns) | US$849.9bn / 15.8% | 2025 | NRF |
| Share of US online sales returned (NRF & Happy Returns) | 19.3% | 2025 | NRF |
| Consumers who consider free returns when purchasing (NRF & Happy Returns) | 82% | 2025 | NRF |
| Consumers less likely to shop again after a poor returns experience (NRF & Happy Returns) | 71% | 2025 | NRF |
| US retail returns total, equal to 16.9% of annual sales (NRF & Happy Returns) | US$890bn / 16.9% | 2024 | NRF |
| Online return rate as a share of online sales (NRF & Happy Returns) | 17.6% (≈US$247bn) | 2024 | NRF |
| Average online apparel return rate; online-based 21.0% vs offline-based 28.0% (Coresight) | 24.4% | 2023 | Coresight Research |
| Top reasons shoppers returned apparel bought online (Coresight) | Size 53% / Color 16% / Damage 10% | 2023 | Coresight Research |
| US online apparel returned and the cost of processing it (Coresight) | US$38bn returned / ~US$25bn cost | 2023 | Coresight Research |
| UK non-food online purchases returned; £27.3bn forecast (ZigZag / Retail Economics) | 1 in 5 (~20%) / £27.3bn | 2024 | ZigZag / Retail Economics |
| UK clothing shoppers who admit to bracketing (over-ordering to return) (ZigZag) | 27.4% | 2024 | ZigZag / Retail Economics |
| Shoppers who returned a product because it did not match the online listing (Salsify) | 71% | 2025 | Salsify |
What product imagery actually costs.
No rigorous third-party survey of per-image production cost exists, so On-Model publishes its own model.
There is no rigorous independent survey of per-image production costs, so On-Model publishes its own production-cost model, with the full methodology in our fashion product photography cost guide. The third-party rows are included for context: the Squareshot figures are vendor-published studio rates rather than a survey, and the ZigZag figure is the cost to process one return.
| Statistic | Figure | Year | Source |
|---|---|---|---|
| Traditional on-model shoot day (photographer, model, studio, HMU, styling) | €2,500 – €6,500 | 2026 | On-Model analysis |
| Traditional on-model image, per finished image (typical brand €40–€90) | €25 – €150 | 2026 | On-Model analysis |
| Ghost mannequin / packshot studio image, per finished image | €15 – €35 | 2026 | On-Model analysis |
| AI-generated catalog image, per finished image | under €1 | 2026 | On-Model analysis |
| Published studio rate per image (vendor rates, not a survey) | US$25 – $70 | 2024/2025 | Squareshot |
| Cost to process a single online return in the UK (ZigZag / Retail Economics) | £10 – £20 | 2024 | ZigZag / Retail Economics |
Generative AI, already in use.
Image creation is now a mainstream executive use case, with large projected profit impact.
Generative AI has moved from experiment to operating tool in fashion. More than a third of executives already apply it to routine tasks including image creation, and McKinsey projects a substantial operating-profit impact across apparel, fashion, and luxury within a few years. Executive sentiment about the broader market, however, remains cautious.
| Statistic | Figure | Year | Source |
|---|---|---|---|
| Fashion executives using generative AI for routine tasks, including image creation (McKinsey / BoF) | >35% | 2025 | McKinsey / BoF |
| Executives naming consumer product discovery and search as the top genAI use case (McKinsey / BoF) | 50% | 2024 | McKinsey / BoF |
| Executives saying marketing genAI use cases offer huge value potential (McKinsey / BoF) | 45% | 2024 | McKinsey / BoF |
| Projected genAI operating-profit impact in apparel, fashion & luxury within 3–5 years (McKinsey) | US$150bn – $275bn | 2023 | McKinsey |
| Apparel decision-makers planning virtual try-on; 80% of those with a size recommender say it lifts conversion (Coresight) | 85% plan VTO | 2023 | Coresight Research |
| Executive sentiment for the year ahead: 46% expect conditions to worsen, 25% to improve (McKinsey / BoF) | 46% worsen / 25% improve | 2025 | McKinsey / BoF |
The footprint behind the imagery.
Decarbonisation is off track, and consumption keeps rising.
The sustainability picture is sparse but directional: most brands are behind on their 2030 goals, apparel consumption keeps climbing, and resale is growing faster than the firsthand market. The CO2e share is a widely-cited aggregate estimate rather than a single primary measurement. For a photoshoot-level view of fashion imagery’s footprint, see our analysis of the carbon cost of fashion photoshoots.
| Statistic | Figure | Year | Source |
|---|---|---|---|
| Fashion brands behind on their 2030 decarbonisation goals (McKinsey / BoF) | 63% | 2024 | McKinsey / BoF |
| Apparel consumption projected to rise to 102M tonnes by 2030 (McKinsey / BoF) | +63% → 102M tonnes | 2030 | McKinsey / BoF |
| Fashion share of global CO2e emissions (widely-cited estimate, aggregation of 2018 studies) | ~8–10% | 2018 estimate | Geneva Environment Network |
| Secondhand and resale market growth vs the firsthand market through 2027 (McKinsey / BoF) | 2–3× faster | through 2027 | McKinsey / BoF |
Sourced figures, nothing borrowed.
Methodology
Every figure on this page meets three criteria: a named publisher, a traceable primary source, and an explicit data year. Figures are quoted exactly as the publisher reported them, with the publisher’s scope noted, because market-size numbers in particular are not comparable across methodologies. Older figures are kept only when no newer replication exists, and they are always year-labeled.
Widely-circulated but untraceable figures were checked and excluded. Two examples: the claim that 93% of consumers say visual appearance is the key purchase factor, and the claim that 75% of shoppers rely on product photos. The original sources for both are dead or were never published, so neither appears here.
How to cite
You are free to cite this page with attribution. Cite it as “On-Model, Fashion E-Commerce Statistics 2026” and link to https://on-model.com/fashion-ecommerce-statistics.
For any third-party figure, please credit the original publisher named in the Source column of the relevant table, not On-Model.
Asked, answered.
How big is the fashion e-commerce market in 2026?
Global fashion e-commerce revenue is projected at roughly US$957bn in 2026 according to Statista Market Insights, growing at about 4.9% a year toward US$1.16tn by 2030. ECDB, which uses a broader GMV-based model, puts the 2025 figure at around US$1.31tn, so totals differ by methodology and should always be attributed to their publisher.
What share of fashion is sold online?
Online channels account for an estimated 35-40% of total worldwide fashion market revenue in 2025, per ECDB. Statista separately estimates online penetration of fashion retail at over 25%, again reflecting different scope definitions between publishers.
What percentage of online fashion purchases are returned?
Coresight Research found an average online apparel return rate of 24.4% in 2023. More broadly, the NRF estimates that 19.3% of all US online sales were returned in 2025, against an overall retail return rate of 15.8%.
How many fashion brands use generative AI?
More than 35% of fashion executives already use generative AI for routine tasks including image creation, according to the BoF-McKinsey State of Fashion 2026 executive survey. Earlier waves found 50% naming consumer product discovery and search as the top generative-AI use case.
How much does fashion product photography cost?
On-Model’s 2026 analysis puts a traditional on-model image at roughly €25 to €150 (most brands €40 to €90), with a full shoot day at €2,500 to €6,500. An AI-generated catalog image works out to well under €1 per image, one to two orders of magnitude lower.
Guides and comparisons.
Fashion Product Photography Cost (2026)
The itemized per-image math behind the cost figures on this page.
The Carbon Cost of Fashion Photoshoots
A photoshoot-level view of fashion imagery’s environmental footprint.
Flat Lay Photography Guide
Shoot flat lays that convert cleanly into on-model catalog imagery.
What is On-Model Photography?
Why on-model context drives purchase confidence and conversion.
Put the cost data to the test
The under-one-euro figure only matters if garment fidelity holds for your catalog. Run a few of your own products through it and see.