Fashion - Mexico

  • Mexico
  • Revenue in the Fashion market is projected to reach €5.02bn in 2023.
  • Revenue is expected to show an annual growth rate (CAGR 2023-2027) of 12.43%, resulting in a projected market volume of €8.02bn by 2027.
  • With a projected market volume of €249.40bn in 2023, most revenue is generated in China.
  • In the Fashion market, the number of users is expected to amount to 56.5m users by 2027.
  • User penetration will be 30.0% in 2023 and is expected to hit 42.8% by 2027.
  • The average revenue per user (ARPU) is expected to amount to €130.40.

Key regions: India, South Korea, China, Germany, Asia

Comparación de regiones

Analyst Opinion

In the Fashion segment, the global online share of revenues already reached 23% in 2020, but the segment’s growth will continue in the next years, driven by East and Southeast Asia regions with their growing middle class and lagging offline shopping infrastructure. One of the leading trends is the direct integration of shopping functionality into the content display on social media, enabling high-speed, "inspire and sell" customer conversion (e.g., Instagram Checkout). The audience is increasingly shifting from desktop to mobile, and improving the mobile browsing and checkout experience is becoming crucial.


Data coverage:

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.

Additional Notes:

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.

Visión general

  • Revenue
  • Key Players
  • Analyst Opinion
  • Sales Channels
  • Demographics
  • Users
  • Global Comparison
  • ReCommerce
  • Methodology
  • Key Market Indicators
Espere, por favor