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Other Apparel - Bolivia

Bolivia
  • Revenue in the Other Apparel Market is projected to reach US$13.78m in 2024.
  • Revenue is expected to show an annual growth rate (CAGR 2024-2029) of 10.19%, resulting in a projected market volume of US$22.39m by 2029.
  • With a projected market volume of US$52.39bn in 2024, most revenue is generated China.
  • In the Other Apparel Market, the number of users is expected to amount to 384.0k users by 2029.
  • User penetration will be 2.2% in 2024 and is expected to hit 2.9% by 2029.
  • The average revenue per user (ARPU) is expected to amount to US$49.77.

Definition:

The eCommerce Other Apparel market refers to the online retailing of various types of clothing and accessories that are not classified under traditional categories such as men's, women's, or children's apparel. This market includes products like swimwear, lingerie, sleepwear, sportswear, and other specialized clothing items. Customers can browse and purchase these items through websites or mobile applications, with the convenience of home delivery and easy return policies. The eCommerce Other Apparel market is a growing sector within the broader eCommerce industry, catering to the diverse fashion needs and preferences of consumers.

Additional information:

eCommerce Other Apparel 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.

Key players in the market are companies, such as Zara, ASOS, and H&M.

Market numbers for the total market sizes (online + offline) can also be found on the respective pages of the Consumer Market Insights.

In-Scope

  • Other apparel, including fast fashion from Zara

Out-Of-Scope

  • Offline revenues, such as sales in physical retail stores and department stores
Fashion eCommerce: market data & analysis - Cover

Market Insights report

Fashion eCommerce: market data & analysis

Study Details

    Revenue

    Notes: Data was converted from local currencies using average exchange rates of the respective year.

    Most recent update: Mar 2024

    Source: Statista Market Insights

    Most recent update: Mar 2024

    Source: Statista Market Insights

    Users

    Most recent update: Aug 2024

    Source: Statista Market Insights

    Global Comparison

    Most recent update: Mar 2024

    Source: Statista Market Insights

    Methodology

    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.

    Forecasts:

    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.

    Ecommerce

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    Fashion eCommerce: market data & analysis - BackgroundFashion eCommerce: market data & analysis - Cover

    Key Market Indicators

    Notes: Based on data from IMF, World Bank, UN and Eurostat

    Most recent update: Sep 2024

    Source: Statista Market Insights

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