100+ datasets found
  1. Global retail e-commerce sales 2022-2028

    • statista.com
    Updated Jun 24, 2025
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    Statista (2025). Global retail e-commerce sales 2022-2028 [Dataset]. https://www.statista.com/statistics/379046/worldwide-retail-e-commerce-sales/
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    Dataset updated
    Jun 24, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Feb 2025
    Area covered
    Worldwide
    Description

    In 2024, global retail e-commerce sales reached an estimated ************ U.S. dollars. Projections indicate a ** percent growth in this figure over the coming years, with expectations to come close to ************** dollars by 2028. World players Among the key players on the world stage, the American marketplace giant Amazon holds the title of the largest e-commerce player globally, with a gross merchandise value of nearly *********** U.S. dollars in 2024. Amazon was also the most valuable retail brand globally, followed by mostly American competitors such as Walmart and the Home Depot. Leading e-tailing regions E-commerce is a dormant channel globally, but nowhere has it been as successful as in Asia. In 2024, the e-commerce revenue in that continent alone was measured at nearly ************ U.S. dollars, outperforming the Americas and Europe. That year, the up-and-coming e-commerce markets also centered around Asia. The Philippines and India stood out as the swiftest-growing e-commerce markets based on online sales, anticipating a growth rate surpassing ** percent.

  2. u

    E-commerce Industry Statistics 2025

    • upmetrics.co
    webpage
    Updated Oct 25, 2023
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    Upmetrics (2023). E-commerce Industry Statistics 2025 [Dataset]. https://upmetrics.co/blog/ecommerce-statistics
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    webpageAvailable download formats
    Dataset updated
    Oct 25, 2023
    Dataset authored and provided by
    Upmetrics
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    2023
    Description

    A comprehensive dataset providing key insights into the eCommerce industry, including global retail online sales projections, number of eCommerce stores, digital buyer statistics, revenue growth in the United States, sector-wise revenue details with a focus on consumer electronics, average conversion rates, and mobile commerce sales forecasts.

  3. Number of users of e-commerce in the U.S. 2020-2029

    • statista.com
    Updated Jun 23, 2025
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    Statista (2025). Number of users of e-commerce in the U.S. 2020-2029 [Dataset]. https://www.statista.com/statistics/273957/number-of-digital-buyers-in-the-united-states/
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    Dataset updated
    Jun 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The number of users in the e-commerce market in the United States was forecast to continuously increase between 2025 and 2029 by in total **** million users (+***** percent). After the ninth consecutive increasing year, the number of users is estimated to reach ***** million users and therefore a new peak in 2029. Notably, the number of users of the e-commerce market was continuously increasing over the past years.Find other key market indicators concerning the average revenue per user (ARPU) and revenue.The Statista Market Insights cover a broad range of additional markets.

  4. E-commerce as share of total retail sales worldwide 2019-2029

    • statista.com
    Updated Jun 2, 2025
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    Statista (2025). E-commerce as share of total retail sales worldwide 2019-2029 [Dataset]. https://www.statista.com/statistics/534123/e-commerce-share-of-retail-sales-worldwide/
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    Dataset updated
    Jun 2, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    Internet sales have played an increasingly significant role in retailing. In 2024, e-commerce accounted for over ** percent of retail sales worldwide. Forecasts indicate that by 2029, the online segment will make up close to over ** percent of total global retail sales. Retail e-commerce Online shopping has grown steadily in popularity in recent years. In 2024, global e-commerce sales amounted to over ************** U.S. dollars, a figure expected to exceed **** trillion U.S. dollars by 2028. Digital development in Latin America boomed during the COVID-19 pandemic, generating unprecedented e-commerce growth in various economies across the region. So much so that Brazil and Argentina appear to lead the world's fastest-growing online retail markets. This trend correlates strongly with the constantly improving online access, especially in "mobile-first" online communities, which have long struggled with traditioe-comernal fixed broadband connections due to financial or infrastructure constraints but enjoy the advantages of cheap mobile broadband connections. M-commerce on the rise The average order value of online shopping via smartphones and tablets still lags traditional e-commerce via desktop computers. However, e-retailers around the world have caught up in mobile e-commerce sales. Online shopping via smartphones is particularly prominent in Asia. By the end of 2021, Malaysia was the top digital market based on the percentage of the population that had purchased something by phone, with nearly ** percent having made a weekly mobile purchase. South Korea, Taiwan, and the Philippines completed the top of the ranking.

  5. F

    E-Commerce Retail Sales as a Percent of Total Sales

    • fred.stlouisfed.org
    json
    Updated Aug 19, 2025
    + more versions
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    (2025). E-Commerce Retail Sales as a Percent of Total Sales [Dataset]. https://fred.stlouisfed.org/series/ECOMPCTSA
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    jsonAvailable download formats
    Dataset updated
    Aug 19, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for E-Commerce Retail Sales as a Percent of Total Sales (ECOMPCTSA) from Q4 1999 to Q2 2025 about e-commerce, retail trade, percent, sales, retail, and USA.

  6. Online shoppers and type of purchase by age group, inactive

    • www150.statcan.gc.ca
    • open.canada.ca
    Updated Jun 22, 2021
    + more versions
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    Government of Canada, Statistics Canada (2021). Online shoppers and type of purchase by age group, inactive [Dataset]. http://doi.org/10.25318/2210008501-eng
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    Dataset updated
    Jun 22, 2021
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Percentage of individuals who shopped online and percentage of online shoppers by type of good and service purchased over the Internet during the past 12 months.

  7. Number of annual online shoppers India 2022-2030

    • statista.com
    Updated Aug 19, 2025
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    Statista (2025). Number of annual online shoppers India 2022-2030 [Dataset]. https://www.statista.com/statistics/1191958/india-number-of-annual-online-shoppers/
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    Dataset updated
    Aug 19, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    India
    Description

    In 2025, the number of annual online shoppers in India was estimated to be approximately *** million. This was a significant increase compared to the previous year. The number of shoppers is likely to increase to around *** by 2030.

  8. Online Shopping in Australia - Market Research Report (2015-2030)

    • ibisworld.com
    Updated Apr 2, 2025
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    IBISWorld (2025). Online Shopping in Australia - Market Research Report (2015-2030) [Dataset]. https://www.ibisworld.com/australia/industry/online-shopping/1837/
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    Dataset updated
    Apr 2, 2025
    Dataset authored and provided by
    IBISWorld
    License

    https://www.ibisworld.com/about/termsofuse/https://www.ibisworld.com/about/termsofuse/

    Time period covered
    2015 - 2030
    Area covered
    Australia
    Description

    Online shopping has become a way of life. Once considered a novelty, much like the internet itself, the online shopping phenomenon has surpassed business and consumer expectations. It has evolved and expanded rapidly, with escalating internet and broadband uptake and changing consumer attitudes helping online shopping become a mainstream retail avenue. Greater investment in online platforms to advance website navigation, enhance security and improve delivery is fuelling a shift in consumer buying habits towards online shopping. The pandemic brought retail trading in Australia to a standstill, with lockdown periods and restrictions leading to a surge in online shopping sales. As consumers jumped online at breakneck speed, the online market was flooded with new entrants and businesses ramped up their digital sales capabilities to keep up with demand. Despite the hype and surge in sales, challenging trading conditions in the post-pandemic environment have eroded some of the earlier gains. Strong inflation and rising interest rates have combined to create a cost-of-living crisis, with consumers reassessing their online spending habits in the face of tightening purse strings. Nonetheless, revenue is anticipated to have grown at an annualised 7.4% over the five years through 2024-25 and is expected to total $58.0 billion in the current year, when revenue is set to climb by an estimated 5.2%. Going forwards, online shopping revenue is forecast to climb at an annualised 6.5% through the end of 2029-30 to total a projected $79.4 billion, aided by continued consumer demand. Greater digital connectivity will allow consumers to shop anywhere and anytime, with advances in augmented reality opening new doors for online retailers. Strong revenue prospects will entice more bricks-and-mortar retailers to launch online stores to complement their physical store network, while many online retailers will open shopfronts and flagship stores, blurring the lines between the two. Escalating competition, particularly from international low-cost retailers like Temu and Shein, will limit growth in profitability.

  9. S

    Online Shoppers Statistics By Revenue, Market Share And Facts (2025)

    • sci-tech-today.com
    Updated Jun 27, 2025
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    Sci-Tech Today (2025). Online Shoppers Statistics By Revenue, Market Share And Facts (2025) [Dataset]. https://www.sci-tech-today.com/stats/online-shoppers-statistics-updated/
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    Dataset updated
    Jun 27, 2025
    Dataset authored and provided by
    Sci-Tech Today
    License

    https://www.sci-tech-today.com/privacy-policyhttps://www.sci-tech-today.com/privacy-policy

    Time period covered
    2022 - 2032
    Area covered
    Global
    Description

    Introduction

    Online Shoppers Statistics: Online shopping has experienced remarkable growth in recent years, fundamentally altering consumer purchasing behaviors. In 2024, global e-commerce sales reached approximately USD 6.09 trillion, marking an 8.4% increase from the previous year. This upward trend is expected to continue, with projections estimating sales to rise to USD 6.56 trillion in 2025.

    The number of digital buyers worldwide also saw a significant uptick, reaching 2.71 billion in 2024—a 2.7% increase from 2023. By 2025, this figure is anticipated to grow to 2.77 billion. Notably, online sales accounted for 20.1% of total global retail sales in 2024, up from 19.4% in 2023.

    These statistics underscore the accelerating shift towards digital commerce, driven by factors such as increased internet accessibility, convenience, and competitive pricing. This article helps businesses understand these trends, allowing them to adapt and meet the growing demands of the digital marketplace.

  10. s

    COVID-19 Ecommerce Statistics

    • searchlogistics.com
    Updated Apr 1, 2025
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    (2025). COVID-19 Ecommerce Statistics [Dataset]. https://www.searchlogistics.com/learn/statistics/ecommerce-statistics/
    Explore at:
    Dataset updated
    Apr 1, 2025
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The pandemic pushed online shopping in a new direction. Purely brick-and-mortar businesses were forced to move their businesses online. The COVID-19 related boost in online shopping resulted in an additional $218 billion in sales in the US alone.

  11. Total stores by Region

    • aftership.com
    Updated Jan 16, 2024
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    AfterShip (2024). Total stores by Region [Dataset]. https://www.aftership.com/ecommerce/statistics/regions
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    Dataset updated
    Jan 16, 2024
    Dataset authored and provided by
    AfterShiphttps://www.aftership.com/
    License

    Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
    License information was derived automatically

    Description

    The eCommerce industry develops at different stages in various regions. Among the platforms we monitor, United States stands out with the highest number of online stores, indicating the prosperity of its eCommerce economy. Additionally, both United Kingdom and Brazil have a strong presence of online shops, accounting for 6.10% and 4.87% of the global online store market.

  12. App Monthly Spend by Region

    • aftership.com
    Updated Jan 16, 2024
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    AfterShip (2024). App Monthly Spend by Region [Dataset]. https://www.aftership.com/ecommerce/statistics/regions
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    Dataset updated
    Jan 16, 2024
    Dataset authored and provided by
    AfterShiphttps://www.aftership.com/
    License

    Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
    License information was derived automatically

    Description

    Online store owners across different regions have varying preferences when investing in apps. Our data reveals that United States is the leading destination for online businesses using apps, spending an impressive $1.58B per month. Online business owners in United Kingdom and Canada are also passionate about leveraging apps, with monthly app expenditure of $267.55M and $204.96M respectively. Additionally, Australia and Germany contribute significantly as well, representing a combined 8.41% of global monthly app spending.

  13. Consumers that would shop mostly online vs. offline worldwide 2023, by...

    • statista.com
    Updated Jun 23, 2025
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    Statista (2025). Consumers that would shop mostly online vs. offline worldwide 2023, by country [Dataset]. https://www.statista.com/statistics/1384193/mostly-online-vs-offline-shopping-worldwide/
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    Dataset updated
    Jun 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2023 - Mar 2023
    Area covered
    Worldwide
    Description

    As of early 2023, approximately ** percent of consumers in the United States said they would prefer to shop mostly online rather than in-store, making it the country with highest online shopping preference. In contrast, more shoppers preferred visiting physical stores in countries such as Austria, Finland, and New Zealand.

  14. eCommerce Statistics by Country/Region in 2025

    • aftership.com
    pdf
    Updated Jan 16, 2024
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    AfterShip (2024). eCommerce Statistics by Country/Region in 2025 [Dataset]. https://www.aftership.com/ecommerce/statistics/regions
    Explore at:
    pdfAvailable download formats
    Dataset updated
    Jan 16, 2024
    Dataset authored and provided by
    AfterShiphttps://www.aftership.com/
    License

    Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
    License information was derived automatically

    Description

    We monitor millions of online stores across 200+ countries, ensuring that this report provides accurate and up-to-date information. This report diverse eCommerce ecosystems in various countries/regions, including market penetration, regional preferences, consumer trends, and technological investments. Stay up-to-date with the latest data and gain a comprehensive understanding of the eCommerce market dynamics on a country/region level, enabling informed business decisions and strategic planning.

  15. s

    Mobile Ecommerce

    • searchlogistics.com
    Updated Apr 1, 2025
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    (2025). Mobile Ecommerce [Dataset]. https://www.searchlogistics.com/learn/statistics/ecommerce-statistics/
    Explore at:
    Dataset updated
    Apr 1, 2025
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    More than 90% of people regularly use a smartphone for shopping online. With over 294 million smartphone users in the US alone, approximately 232 million of them regularly use their phones to purchase online.

  16. Online Sales Dataset - Popular Marketplace Data

    • kaggle.com
    Updated May 25, 2024
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    ShreyanshVerma27 (2024). Online Sales Dataset - Popular Marketplace Data [Dataset]. https://www.kaggle.com/datasets/shreyanshverma27/online-sales-dataset-popular-marketplace-data
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    May 25, 2024
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    ShreyanshVerma27
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    This dataset provides a comprehensive overview of online sales transactions across different product categories. Each row represents a single transaction with detailed information such as the order ID, date, category, product name, quantity sold, unit price, total price, region, and payment method.

    Columns:

    • Order ID: Unique identifier for each sales order.
    • Date:Date of the sales transaction.
    • Category:Broad category of the product sold (e.g., Electronics, Home Appliances, Clothing, Books, Beauty Products, Sports).
    • Product Name:Specific name or model of the product sold.
    • Quantity:Number of units of the product sold in the transaction.
    • Unit Price:Price of one unit of the product.
    • Total Price: Total revenue generated from the sales transaction (Quantity * Unit Price).
    • Region:Geographic region where the transaction occurred (e.g., North America, Europe, Asia).
    • Payment Method: Method used for payment (e.g., Credit Card, PayPal, Debit Card).

    Insights:

    • 1. Analyze sales trends over time to identify seasonal patterns or growth opportunities.
    • 2. Explore the popularity of different product categories across regions.
    • 3. Investigate the impact of payment methods on sales volume or revenue.
    • 4. Identify top-selling products within each category to optimize inventory and marketing strategies.
    • 5. Evaluate the performance of specific products or categories in different regions to tailor marketing campaigns accordingly.
  17. Clickstream Data for Online Shopping

    • kaggle.com
    Updated Apr 13, 2021
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    Bojan Tunguz (2021). Clickstream Data for Online Shopping [Dataset]. https://www.kaggle.com/datasets/tunguz/clickstream-data-for-online-shopping/discussion
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Apr 13, 2021
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Bojan Tunguz
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    Source:

    Mariusz Šapczyński, Cracow University of Economics, Poland, lapczynm '@' uek.krakow.pl Sylwester Białowąs, Poznan University of Economics and Business, Poland, sylwester.bialowas '@' ue.poznan.pl

    Data Set Information:

    The dataset contains information on clickstream from online store offering clothing for pregnant women. Data are from five months of 2008 and include, among others, product category, location of the photo on the page, country of origin of the IP address and product price in US dollars.

    Attribute Information:

    The dataset contains 14 variables described in a separate file (See 'Data set description')

    Relevant Papers:

    N/A

    Citation Request:

    If you use this dataset, please cite:

    Šapczyński M., Białowąs S. (2013) Discovering Patterns of Users' Behaviour in an E-shop - Comparison of Consumer Buying Behaviours in Poland and Other European Countries, “Studia Ekonomiczne†, nr 151, “La société de l'information : perspective européenne et globale : les usages et les risques d'Internet pour les citoyens et les consommateurs†, p. 144-153

    Data description ìe-shop clothing 2008î

    Variables:

    1. YEAR (2008)

    ========================================================

    2. MONTH -> from April (4) to August (8)

    ========================================================

    3. DAY -> day number of the month

    ========================================================

    4. ORDER -> sequence of clicks during one session

    ========================================================

    5. COUNTRY -> variable indicating the country of origin of the IP address with the

    following categories:

    1-Australia 2-Austria 3-Belgium 4-British Virgin Islands 5-Cayman Islands 6-Christmas Island 7-Croatia 8-Cyprus 9-Czech Republic 10-Denmark 11-Estonia 12-unidentified 13-Faroe Islands 14-Finland 15-France 16-Germany 17-Greece 18-Hungary 19-Iceland 20-India 21-Ireland 22-Italy 23-Latvia 24-Lithuania 25-Luxembourg 26-Mexico 27-Netherlands 28-Norway 29-Poland 30-Portugal 31-Romania 32-Russia 33-San Marino 34-Slovakia 35-Slovenia 36-Spain 37-Sweden 38-Switzerland 39-Ukraine 40-United Arab Emirates 41-United Kingdom 42-USA 43-biz (.biz) 44-com (.com) 45-int (.int) 46-net (.net) 47-org (*.org)

    ========================================================

    6. SESSION ID -> variable indicating session id (short record)

    ========================================================

    7. PAGE 1 (MAIN CATEGORY) -> concerns the main product category:

    1-trousers 2-skirts 3-blouses 4-sale

    ========================================================

    8. PAGE 2 (CLOTHING MODEL) -> contains information about the code for each product

    (217 products)

    ========================================================

    9. COLOUR -> colour of product

    1-beige 2-black 3-blue 4-brown 5-burgundy 6-gray 7-green 8-navy blue 9-of many colors 10-olive 11-pink 12-red 13-violet 14-white

    ========================================================

    10. LOCATION -> photo location on the page, the screen has been divided into six parts:

    1-top left 2-top in the middle 3-top right 4-bottom left 5-bottom in the middle 6-bottom right

    ========================================================

    11. MODEL PHOTOGRAPHY -> variable with two categories:

    1-en face 2-profile

    ========================================================

    12. PRICE -> price in US dollars

    ========================================================

    13. PRICE 2 -> variable informing whether the price of a particular product is higher than

    the average price for the entire product category

    1-yes 2-no

    ========================================================

    14. PAGE -> page number within the e-store website (from 1 to 5)

    ++++++++++++++++++++++++++++++++++++++++++++++++++++++++

  18. S

    Online Vs In-Store Statistics and Facts (2025)

    • sci-tech-today.com
    Updated May 14, 2025
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    Sci-Tech Today (2025). Online Vs In-Store Statistics and Facts (2025) [Dataset]. https://www.sci-tech-today.com/stats/online-vs-in-store-statistics-updated/
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    Dataset updated
    May 14, 2025
    Dataset authored and provided by
    Sci-Tech Today
    License

    https://www.sci-tech-today.com/privacy-policyhttps://www.sci-tech-today.com/privacy-policy

    Time period covered
    2022 - 2032
    Area covered
    Global
    Description

    Introduction

    Online Vs In-Store Shopping Statistics: Online shopping and in-store shopping offer distinct experiences, each with its advantages. Online shopping provides the convenience of browsing and purchasing products from the comfort of home, available 24/7. It often features a broader selection and competitive pricing, with customer reviews aiding decision-making. However, online shopping needs the tactile experience and immediate gratification of in-store purchases.

    While online shopping is growing rapidly due to its convenience and technological advancements, in-store shopping remains popular for those who value hands-on experiences and immediate satisfaction. Both methods cater to different consumer preferences, contributing to the diverse retail landscape.

  19. India Total Online Stores by Platform

    • aftership.com
    Updated Jan 11, 2024
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    AfterShip (2024). India Total Online Stores by Platform [Dataset]. https://www.aftership.com/ecommerce/statistics/regions/in
    Explore at:
    Dataset updated
    Jan 11, 2024
    Dataset authored and provided by
    AfterShiphttps://www.aftership.com/
    License

    Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
    License information was derived automatically

    Area covered
    India
    Description

    In India, the distribution of stores across different platforms presents a dynamic picture of the market. WooCommerce, as a leading platform, hosts 120.58K stores, accounting for 45.14% of the total store count in the region. This is closely followed by Shopify, which supports 76.43K stores, representing 28.61% of the region's total. Custom Cart makes a significant contribution with 33.56K stores, or 12.56% of the total. The chart underscores the diversity and preferences of store owners in India regarding their choice of platform.

  20. Egypt Total Online Stores by Platform

    • aftership.com
    Updated Jan 16, 2024
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    AfterShip (2024). Egypt Total Online Stores by Platform [Dataset]. https://www.aftership.com/ecommerce/statistics/regions/eg
    Explore at:
    Dataset updated
    Jan 16, 2024
    Dataset authored and provided by
    AfterShiphttps://www.aftership.com/
    License

    Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
    License information was derived automatically

    Area covered
    Egypt
    Description

    In Egypt, the distribution of stores across different platforms presents a dynamic picture of the market. WooCommerce, as a leading platform, hosts 4.86K stores, accounting for 38.01% of the total store count in the region. This is closely followed by Shopify, which supports 4.81K stores, representing 37.67% of the region's total. Custom Cart makes a significant contribution with 933 stores, or 7.30% of the total. The chart underscores the diversity and preferences of store owners in Egypt regarding their choice of platform.

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Statista (2025). Global retail e-commerce sales 2022-2028 [Dataset]. https://www.statista.com/statistics/379046/worldwide-retail-e-commerce-sales/
Organization logo

Global retail e-commerce sales 2022-2028

Explore at:
Dataset updated
Jun 24, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
Feb 2025
Area covered
Worldwide
Description

In 2024, global retail e-commerce sales reached an estimated ************ U.S. dollars. Projections indicate a ** percent growth in this figure over the coming years, with expectations to come close to ************** dollars by 2028. World players Among the key players on the world stage, the American marketplace giant Amazon holds the title of the largest e-commerce player globally, with a gross merchandise value of nearly *********** U.S. dollars in 2024. Amazon was also the most valuable retail brand globally, followed by mostly American competitors such as Walmart and the Home Depot. Leading e-tailing regions E-commerce is a dormant channel globally, but nowhere has it been as successful as in Asia. In 2024, the e-commerce revenue in that continent alone was measured at nearly ************ U.S. dollars, outperforming the Americas and Europe. That year, the up-and-coming e-commerce markets also centered around Asia. The Philippines and India stood out as the swiftest-growing e-commerce markets based on online sales, anticipating a growth rate surpassing ** percent.

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