The eCommerce Footwear market is a sector of online retailing that focuses on all types of footwear which are produced for private end consumers (e.g., leather shoes, casual shoes, slippers), with the exception of sports shoes, footwear accessories, and care products.
The relevance of the eCommerce Footwear market lies in its ability to offer consumers a vast selection of products at competitive prices, with the added convenience of home delivery. It also enables brands and retailers to reach customers across different geographies and demographics, expanding their customer base and sales potential.
The eCommerce Footwear market has experienced significant growth in recent years, driven by factors such as the increasing popularity of online shopping, the rise of direct-to-consumer brands, and the COVID-19 pandemic, which has led to more time spent at home and an increased focus on comfortable and casual footwear.
Examples of successful eCommerce Footwear businesses include Dr. Martens, which offers a wide range of casual shoes, sandals and boots for men, women, and children. Additionally, online marketplaces like Amazon and Walmart have expanded their footwear offerings, providing consumers with more options for ordering their favorite shoes online.
The eCommerce market for Footwear consists of five different markets:
The Leather Footwear market includes boots, sandals, town footwear, clogs, and similar shoes that are made of leather uppers.
The Luxury Footwear market contains the digital sales of luxury footwear brands, while mass-market products are excluded.
The Other Footwear market comprises shoe accessories such as shoe polish, shoe gaiters, and shoe laces.
The Sneakers market includes everyday footwear with an athletic appearance.
The Textile & Other Footwear refers to town footwear with textile, rubber, and/or plastic uppers. Rubber boots, flip-flops, and wooden clogs are also included here.
Footwear comprises revenues, users, average revenue per user, and penetration rates. Revenues are derived from annual filings, national statistical offices, Google- and Alibaba-Trends and industry knowledge. Sales Channels show online and offline revenue shares, as well as, desktop and mobile sales distribution. Revenues are including VAT. The market only displays B2C revenues and users for the above-mentioned markets, hence C2C, B2B and reCommerce is not included. Additional definitions can be found on each respective market page.
Key players in the market are companies like Taobao, JD, Amazon, Nike, Macys and Zalando.
Market numbers for the total market sizes (online + offline) can also be found on the respective pages of the Consumer Market Insights.
Leather footwear products such as Gucci
"Athleisure" footwear (everyday shoes with an athletic design) such as Axel Arigato
Data refers to B2C enterprises. Figures are based on the sale of physical goods via a digital channel to a private end consumer. This definition encompasses purchases via desktop computers (including notebooks and laptops) as well as purchases via mobile devices (e.g., smartphones and tablets). The following are not included in the eCommerce market: digitally distributed services (see instead: eServices), digital media downloads or streams, digitally distributed goods in B2B markets, and the digital purchase or resale of used, defective, or repaired goods (reCommerce and C2C). All monetary figures refer to the annual gross revenue and do not factor in shipping costs.
Modeling approach / Market size:
Market sizes are determined by a combined top-down and bottom-up approach, based on a specific rationale for each market segment. As a basis for evaluating markets, we use annual financial reports of the market-leading companies and industry associations, third-party studies and reports, survey results from our primary research (e.g., Statista Global Consumer Survey), data on shopping behavior (e.g., Google Trends, Alibaba Trends), and performance factors (e.g., user penetration, price/product). Furthermore, we use relevant key market indicators and data from country-specific associations such as GDP, consumer spending, internet penetration, and population. This data helps us estimate the market size for each country individually.
In our forecasts, we apply diverse forecasting techniques. The selection of forecasting techniques is based on the behavior of the particular market. For example, the S-curve function and exponential trend smoothing are well suited for forecasting digital products and services due to the non-linear growth of technology adoption. The main drivers are GDP per capita, consumer spending per capita, internet penetration, and population.
The market is updated twice per year in case market dynamics change. The impact of the COVID-19 pandemic is considered at a country-specific level. The impact of the Russia/Ukraine war is considered at a country-specific level.