100+ datasets found
  1. E-commerce sales of enterprises by NACE Rev. 2 activity

    • data.europa.eu
    csv, html, tsv, xml
    + more versions
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    Eurostat, E-commerce sales of enterprises by NACE Rev. 2 activity [Dataset]. https://data.europa.eu/data/datasets/welnica5mmw26o3cisijga?locale=en
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    xml(14912), html, tsv(2166342), xml(3261165), csv(4712061)Available download formats
    Dataset authored and provided by
    Eurostathttps://ec.europa.eu/eurostat
    License

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

    Description

    E-commerce sales of enterprises by NACE Rev. 2 activity

  2. 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.

  3. G

    Retail e-commerce sales, inactive

    • open.canada.ca
    • ouvert.canada.ca
    • +1more
    csv, html, xml
    Updated Mar 24, 2023
    + more versions
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    Statistics Canada (2023). Retail e-commerce sales, inactive [Dataset]. https://open.canada.ca/data/en/dataset/0ffbe1ee-7fa7-4369-ac78-a01c8175e1a6
    Explore at:
    html, csv, xmlAvailable download formats
    Dataset updated
    Mar 24, 2023
    Dataset provided by
    Statistics Canada
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Description

    This table contains 3 series, with data for years 2016 - 2017 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (1 item: Canada); Sales (3 items: Retail trade; Electronic shopping and mail-order houses; Retail E-commerce sales).

  4. 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/ECOMPCTNSA
    Explore at:
    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 (ECOMPCTNSA) from Q4 1999 to Q2 2025 about e-commerce, retail trade, percent, sales, retail, and USA.

  5. g

    Online Sales Dataset

    • gts.ai
    json
    Updated Jun 25, 2024
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    GTS (2024). Online Sales Dataset [Dataset]. https://gts.ai/dataset-download/online-sales-dataset/
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    jsonAvailable download formats
    Dataset updated
    Jun 25, 2024
    Dataset provided by
    GLOBOSE TECHNOLOGY SOLUTIONS PRIVATE LIMITED
    Authors
    GTS
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    The Online Sales Dataset provides a detailed overview of global online sales transactions across various product categories. It includes transaction details such as order ID, date, product category, product name, quantity, unit price, total price, region, and payment method.

  6. Mail-order and e-commerce sales of electronics and appliances 2003-2022

    • statista.com
    Updated Feb 26, 2024
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    Statista (2024). Mail-order and e-commerce sales of electronics and appliances 2003-2022 [Dataset]. https://www.statista.com/statistics/185448/us-online-shops-and-mail-order-houses-sales-figures-for-electronics/
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    Dataset updated
    Feb 26, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    Sales for electronics and appliances of U.S. electronic shopping and mail-order houses have increased since 2003. The most significant growth was reported in 2021, when e-commerce sales hit over 86 billion U.S. dollars, up from nearly 51 billion U.S. dollars in 2019. In 2022, e-commerce sales slightly decreased to 85.5 billion U.S. dollars.

  7. E-commerce Sales Dataset (Q2 vs Q3 2024)

    • kaggle.com
    Updated Jun 23, 2025
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    Dyuti Dasmahaptra (2025). E-commerce Sales Dataset (Q2 vs Q3 2024) [Dataset]. https://www.kaggle.com/datasets/dyutidasmahaptra/e-commerce-sales-dataset-q2-vs-q3-2024
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jun 23, 2025
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Dyuti Dasmahaptra
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Description

    This dataset contains transaction-level data from an online retail platform across Q2 (April–June) and Q3 (July–September) of 2024. It is designed to help analyze a noticeable drop in sales during Q3 and identify key factors behind the change.

    Each record represents a single customer order with associated metadata including: - Order details: order_id, order_date, order_amount - Customer & segment info: customer_id, region, channel - Product info: product_category (Electronics, Clothing, Home, Books, Toys)

    The data is suitable for: - Root cause analysis of quarterly revenue fluctuations - Sales breakdown by category, region, and channel - Customer behavior trends and engagement patterns

  8. E-commerce sales - Business Environment Profile

    • ibisworld.com
    Updated Jul 25, 2025
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    IBISWorld (2025). E-commerce sales - Business Environment Profile [Dataset]. https://www.ibisworld.com/united-states/bed/e-commerce-sales/88088
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    Dataset updated
    Jul 25, 2025
    Dataset authored and provided by
    IBISWorld
    License

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

    Description

    This driver measures the value of retail sales conducted online in the United States. Data is sourced from the US Census Bureau and is presented in 2017 dollars.

  9. Retail e-commerce sales growth worldwide 2017-2028

    • statista.com
    Updated Jun 24, 2025
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    Statista (2025). Retail e-commerce sales growth worldwide 2017-2028 [Dataset]. https://www.statista.com/statistics/288487/forecast-of-global-b2c-e-commerce-growth/
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    Dataset updated
    Jun 24, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2017 - 2028
    Area covered
    Worldwide
    Description

    In 2024, global e-commerce sales grew by *** percent compared to the previous year. In that period, e-commerce accounted for approximately ** percent of all retail sales worldwide. Asian countries lead the way According to an estimate, China and Indonesia ranked **************** respectively on the list of countries with the greatest share of retail sales projected to take place online in 2023. Following the same trend, estimates also revealed that the three fastest-growing retail e-commerce countries in the world are all in Asia. Amazon on top When looking at the leading e-commerce companies worldwide, as opposed to the leading e-commerce countries, ****** is the clear market leader with a market cap of over************n U.S. dollars as of March 2025. Not only that, but the *************************** company is also by far the***** visited online marketplace in the world, with approximately *** billion monthly visits.

  10. T

    United States - E-Commerce Retail Sales

    • tradingeconomics.com
    csv, excel, json, xml
    Updated May 29, 2017
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    TRADING ECONOMICS (2017). United States - E-Commerce Retail Sales [Dataset]. https://tradingeconomics.com/united-states/e-commerce-retail-sales-mil-of-$-q-sa-fed-data.html
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    json, excel, xml, csvAvailable download formats
    Dataset updated
    May 29, 2017
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    United States
    Description

    United States - E-Commerce Retail Sales was 304209.00000 Mil. of $ in April of 2025, according to the United States Federal Reserve. Historically, United States - E-Commerce Retail Sales reached a record high of 304209.00000 in April of 2025 and a record low of 4467.00000 in October of 1999. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - E-Commerce Retail Sales - last updated from the United States Federal Reserve on September of 2025.

  11. d

    Ecommerce Data - Product data, Seller data, Market data, Pricing data|...

    • datarade.ai
    Updated Dec 1, 2023
    + more versions
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    APISCRAPY (2023). Ecommerce Data - Product data, Seller data, Market data, Pricing data| Scrape all publicly available eCommerce data| 50% Cost Saving | Free Sample [Dataset]. https://datarade.ai/data-products/apiscrapy-mobile-app-data-api-scraping-service-app-intel-apiscrapy
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    .bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset updated
    Dec 1, 2023
    Dataset authored and provided by
    APISCRAPY
    Area covered
    Spain, Bosnia and Herzegovina, United States of America, Ukraine, China, Åland Islands, Norway, Isle of Man, Switzerland, Malta
    Description

    Note:- Only publicly available data can be worked upon

    In today's ever-evolving Ecommerce landscape, success hinges on the ability to harness the power of data. APISCRAPY is your strategic ally, dedicated to providing a comprehensive solution for extracting critical Ecommerce data, including Ecommerce market data, Ecommerce product data, and Ecommerce datasets. With the Ecommerce arena being more competitive than ever, having a data-driven approach is no longer a luxury but a necessity.

    APISCRAPY's forte lies in its ability to unearth valuable Ecommerce market data. We recognize that understanding the market dynamics, trends, and fluctuations is essential for making informed decisions.

    APISCRAPY's AI-driven ecommerce data scraping service presents several advantages for individuals and businesses seeking comprehensive insights into the ecommerce market. Here are key benefits associated with their advanced data extraction technology:

    1. Ecommerce Product Data: APISCRAPY's AI-driven approach ensures the extraction of detailed Ecommerce Product Data, including product specifications, images, and pricing information. This comprehensive data is valuable for market analysis and strategic decision-making.

    2. Data Customization: APISCRAPY enables users to customize the data extraction process, ensuring that the extracted ecommerce data aligns precisely with their informational needs. This customization option adds versatility to the service.

    3. Efficient Data Extraction: APISCRAPY's technology streamlines the data extraction process, saving users time and effort. The efficiency of the extraction workflow ensures that users can obtain relevant ecommerce data swiftly and consistently.

    4. Realtime Insights: Businesses can gain real-time insights into the dynamic Ecommerce Market by accessing rapidly extracted data. This real-time information is crucial for staying ahead of market trends and making timely adjustments to business strategies.

    5. Scalability: The technology behind APISCRAPY allows scalable extraction of ecommerce data from various sources, accommodating evolving data needs and handling increased volumes effortlessly.

    Beyond the broader market, a deeper dive into specific products can provide invaluable insights. APISCRAPY excels in collecting Ecommerce product data, enabling businesses to analyze product performance, pricing strategies, and customer reviews.

    To navigate the complexities of the Ecommerce world, you need access to robust datasets. APISCRAPY's commitment to providing comprehensive Ecommerce datasets ensures businesses have the raw materials required for effective decision-making.

    Our primary focus is on Amazon data, offering businesses a wealth of information to optimize their Amazon presence. By doing so, we empower our clients to refine their strategies, enhance their products, and make data-backed decisions.

    [Tags: Ecommerce data, Ecommerce Data Sample, Ecommerce Product Data, Ecommerce Datasets, Ecommerce market data, Ecommerce Market Datasets, Ecommerce Sales data, Ecommerce Data API, Amazon Ecommerce API, Ecommerce scraper, Ecommerce Web Scraping, Ecommerce Data Extraction, Ecommerce Crawler, Ecommerce data scraping, Amazon Data, Ecommerce web data]

  12. Amusement and recreation, e-commerce sales

    • www150.statcan.gc.ca
    • open.canada.ca
    • +1more
    Updated Nov 4, 2024
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    Government of Canada, Statistics Canada (2024). Amusement and recreation, e-commerce sales [Dataset]. http://doi.org/10.25318/2110010401-eng
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    Dataset updated
    Nov 4, 2024
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Amusement and recreation, e-commerce sales, by North American Industry Classification System (NAICS) 7131 Amusement parks and arcades, (NAICS) 7139 Other amusement and recreation industries, which includes all members under Sales, (dollars X 1,000,000), annual (percent), for five years of data.

  13. y

    US E-Commerce Sales as Percent of Retail Sales

    • ycharts.com
    html
    Updated Aug 19, 2025
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    Census Bureau (2025). US E-Commerce Sales as Percent of Retail Sales [Dataset]. https://ycharts.com/indicators/us_ecommerce_sales_as_percent_retail_sales
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    htmlAvailable download formats
    Dataset updated
    Aug 19, 2025
    Dataset provided by
    YCharts
    Authors
    Census Bureau
    Time period covered
    Dec 31, 1999 - Jun 30, 2025
    Area covered
    United States
    Variables measured
    US E-Commerce Sales as Percent of Retail Sales
    Description

    View quarterly updates and historical trends for US E-Commerce Sales as Percent of Retail Sales. from United States. Source: Census Bureau. Track economic…

  14. G

    Retail trade, total sales and e-commerce sales, inactive

    • open.canada.ca
    • www150.statcan.gc.ca
    • +2more
    csv, html, xml
    Updated Feb 21, 2024
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    Statistics Canada (2024). Retail trade, total sales and e-commerce sales, inactive [Dataset]. https://open.canada.ca/data/en/dataset/89077c3a-cfe1-4b6c-a35f-015cb8688f47
    Explore at:
    csv, html, xmlAvailable download formats
    Dataset updated
    Feb 21, 2024
    Dataset provided by
    Statistics Canada
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Description

    E-commerce sales and total sales for retail trade in Canada, available on an annual basis.

  15. E-commerce revenue worldwide 2017-2030, by segment

    • statista.com
    Updated Jun 3, 2025
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    Statista Research Department (2025). E-commerce revenue worldwide 2017-2030, by segment [Dataset]. https://www.statista.com/topics/871/online-shopping/
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    Dataset updated
    Jun 3, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Description

    Significant fluctuations are estimated for all segments over the forecast period for the revenue. In general, the indicator appears to exhibit a positive trend, with more segments showing increasing values rather than decreasing values until 2030. Among them, the segment Food attains the highest value throughout the entire period, reaching 1.23 trillion U.S. dollars.The Statista Market Insights cover a broad range of additional markets.

  16. Data from: E-commerce and ICT activity

    • ons.gov.uk
    • cy.ons.gov.uk
    xlsx
    Updated Feb 5, 2021
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    Office for National Statistics (2021). E-commerce and ICT activity [Dataset]. https://www.ons.gov.uk/businessindustryandtrade/itandinternetindustry/datasets/ictactivityofukbusinessesecommerceandictactivity
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    xlsxAvailable download formats
    Dataset updated
    Feb 5, 2021
    Dataset provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Description

    Use of information and communication technology (ICT) and e-commerce activity by UK businesses. Annual data on e-commerce sales and how businesses are using the internet.

  17. Food services and drinking places, e-commerce sales

    • www150.statcan.gc.ca
    • open.canada.ca
    • +2more
    Updated Feb 18, 2025
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    Government of Canada, Statistics Canada (2025). Food services and drinking places, e-commerce sales [Dataset]. http://doi.org/10.25318/2110023201-eng
    Explore at:
    Dataset updated
    Feb 18, 2025
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    E-commerce sales for North American Industry Classification System (NAICS) food services and drinking places, includes all members under sales, for Canada, for one year of data.

  18. s

    Retail trade sales and e-commerce sales, inactive

    • www150.statcan.gc.ca
    • ouvert.canada.ca
    • +2more
    Updated Mar 13, 2017
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    Government of Canada, Statistics Canada (2017). Retail trade sales and e-commerce sales, inactive [Dataset]. http://doi.org/10.25318/2010001301-eng
    Explore at:
    Dataset updated
    Mar 13, 2017
    Dataset provided by
    Government of Canada, Statistics Canada
    Area covered
    Canada
    Description

    Retail trade, total sales and e-commerce sales based on the North American Industry Classification System (NAICS), annual.

  19. Revenue of the e-commerce industry in the United States 2017-2029

    • statista.com
    Updated Aug 15, 2025
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    Statista (2025). Revenue of the e-commerce industry in the United States 2017-2029 [Dataset]. https://www.statista.com/statistics/272391/us-retail-e-commerce-sales-forecast/
    Explore at:
    Dataset updated
    Aug 15, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The revenue in the e-commerce market in the United States was modeled to amount to 1.18 trillion U.S. dollars in 2024. Following a continuous upward trend, the revenue has risen by 754.29 billion U.S. dollars since 2017. Between 2024 and 2029, the revenue will rise by 655.91 billion U.S. dollars, continuing its consistent upward trajectory.Further information about the methodology, more market segments, and metrics can be found on the dedicated Market Insights page on eCommerce.

  20. Retail Sales Index internet sales

    • ons.gov.uk
    • cy.ons.gov.uk
    xlsx
    Updated Sep 5, 2025
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    Office for National Statistics (2025). Retail Sales Index internet sales [Dataset]. https://www.ons.gov.uk/businessindustryandtrade/retailindustry/datasets/retailsalesindexinternetsales
    Explore at:
    xlsxAvailable download formats
    Dataset updated
    Sep 5, 2025
    Dataset provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Description

    Internet sales in Great Britain by store type, month and year.

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Eurostat, E-commerce sales of enterprises by NACE Rev. 2 activity [Dataset]. https://data.europa.eu/data/datasets/welnica5mmw26o3cisijga?locale=en
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E-commerce sales of enterprises by NACE Rev. 2 activity

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5 scholarly articles cite this dataset (View in Google Scholar)
xml(14912), html, tsv(2166342), xml(3261165), csv(4712061)Available download formats
Dataset authored and provided by
Eurostathttps://ec.europa.eu/eurostat
License

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

Description

E-commerce sales of enterprises by NACE Rev. 2 activity

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