100+ datasets found
  1. s

    Data from: Digital Payment Services

    • searchlogistics.com
    Updated Apr 1, 2025
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    (2025). Digital Payment Services [Dataset]. https://www.searchlogistics.com/learn/statistics/ecommerce-statistics/
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    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

    These are the most popular digital payment services.

  2. s

    Ecommerce Marketplaces

    • searchlogistics.com
    Updated Apr 1, 2025
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    (2025). Ecommerce Marketplaces [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

    Amazon.com is the most popular shopping platform in the world, with 3,161.64 million visitors every month - followed by ebay.com and walmart.com.

  3. 2022 Economic Census: EC2231ECOMM | Manufacturing: E-Commerce Statistics for...

    • data.census.gov
    Updated Jan 23, 2025
    + more versions
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    ECN (2025). 2022 Economic Census: EC2231ECOMM | Manufacturing: E-Commerce Statistics for the U.S.: 2022 (ECN Core Statistics Manufacturing: E-Commerce Statistics for the U.S.: 2022) [Dataset]. https://data.census.gov/all/tables?q=E%20Leibler
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    Dataset updated
    Jan 23, 2025
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    ECN
    License

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

    Time period covered
    2022
    Area covered
    United States
    Description

    Key Table Information.Table Title.Manufacturing: E-Commerce Statistics for the U.S.: 2022.Table ID.ECNECOMM2022.EC2231ECOMM.Survey/Program.Economic Census.Year.2022.Dataset.ECN Core Statistics Manufacturing: E-Commerce Statistics for the U.S.: 2022.Release Date.2025-01-23.Release Schedule.The Economic Census occurs every five years, in years ending in 2 and 7.The data in this file come from the 2022 Economic Census data files released on a flow basis starting in January 2024 with First Look Statistics. Preliminary U.S. totals released in January 2024 are superseded with final data shown in the releases of later economic census statistics through March 2026.For more information about economic census planned data product releases, see 2022 Economic Census Release Schedule..Dataset Universe.The dataset universe consists of all establishments that are in operation for at least some part of 2022, are located in one of the 50 U.S. states, associated offshore areas, or the District of Columbia, have paid employees, and are classified in one of nineteen in-scope sectors defined by the 2022 North American Industry Classification System (NAICS)..Methodology.Data Items and Other Identifying Records.Sales, value of shipments, or revenue ($1,000)E-Shipments value ($1,000) E-Shipments as percent of total sales, value of shipments, or revenue (%) Range indicating imputed percentage of total sales, value of shipments, or revenueDefinitions can be found by clicking on the column header in the table or by accessing the Economic Census Glossary..Unit(s) of Observation.The reporting units for the economic census are employer establishments. An establishment is generally a single physical location where business is conducted or where services or industrial operations are performed. A company or firm is comprised of one or more in-scope establishments that operate under the ownership or control of a single organization. For some industries, the reporting units are instead groups of all establishments in the same industry belonging to the same firm..Geography Coverage.The data are shown for the U.S. level only. For information about economic census geographies, including changes for 2022, see Geographies..Industry Coverage.The data are shown at the 2- through 3-digit 2022 NAICS code levels for the U.S. For information about NAICS, see Economic Census Code Lists..Sampling.The 2022 Economic Census sample includes all active operating establishments of multi-establishment firms and approximately 1.7 million single-establishment firms, stratified by industry and state. Establishments selected to the sample receive a questionnaire. For all data on this table, establishments not selected into the sample are represented with administrative data. For more information about the sample design, see 2022 Economic Census Methodology..Confidentiality.The Census Bureau has reviewed this data product to ensure appropriate access, use, and disclosure avoidance protection of the confidential source data (Project No. 7504609, Disclosure Review Board (DRB) approval number: CBDRB-FY23-099).To protect confidentiality, the U.S. Census Bureau suppresses cell values to minimize the risk of identifying a particular business’ data or identity.To comply with disclosure avoidance guidelines, data rows with fewer than three contributing firms or three contributing establishments are not presented. Additionally, establishment counts are suppressed when other select statistics in the same row are suppressed. More information on disclosure avoidance is available in the 2022 Economic Census Methodology..Technical Documentation/Methodology.For detailed information about the methods used to collect data and produce statistics, survey questionnaires, Primary Business Activity/NAICS codes, NAPCS codes, and more, see Economic Census Technical Documentation..Weights.No weighting applied as establishments not sampled are represented with administrative data..Table Information.FTP Download.https://www2.census.gov/programs-surveys/economic-census/data/2022/sector31/.API Information.Economic census data are housed in the Census Bureau Application Programming Interface (API)..Symbols.D - Withheld to avoid disclosing data for individual companies; data are included in higher level totalsN - Not available or not comparableS - Estimate does not meet publication standards because of high sampling variability, poor response quality, or other concerns about the estimate quality. Unpublished estimates derived from this table by subtraction are subject to these same limitations and should not be attributed to the U.S. Census Bureau. For a description of publication standards and the total quantity response rate, see link to program methodology page.X - Not applicableA - Relative standard error of 100% or morer - Reviseds - Relative standard error exceeds 40%For a complete list of symbols, see Economic Census Data Dictionary..Data-Specific Notes.Data users who create their own es...

  4. Retail e-commerce sales in the U.S. 2000-2024

    • statista.com
    Updated May 28, 2025
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    Statista (2025). Retail e-commerce sales in the U.S. 2000-2024 [Dataset]. https://www.statista.com/statistics/183750/us-retail-e-commerce-sales-figures/
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    Dataset updated
    May 28, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2024, retail e-commerce sales in the United States reached an estimated **** billion U.S. dollars, roughly double the sales value reached in 2019. E-commerce's growth trajectory Driven by the escalating integration of technology into daily life, e-commerce has witnessed a remarkable surge in popularity. Projections indicate a significant uptick in e-commerce users in the United States, rising from *** million in 2025 to over *** million by 2029. As of 2023, apparel and accessories ranked as the most sought-after e-commerce product category, comprising over ** percent of all retail sales in the U.S. This trend persists despite inflationary pressures, positioning this category among the e-commerce segments experiencing the most significant year-on-year price changes. M-commerce users demographic While the demand for the convenience of purchasing from the palm of one's hand is also rapidly increasing, various demographic factors influence mobile commerce usage. There's a higher proportion of male online shoppers than females, with a split of ** percent versus ** percent. Age is another determinant. Younger consumers exhibit a greater inclination towards m-commerce, with ** percent of mobile shoppers falling within the ** to ** age bracket. Furthermore, income levels also shape mobile shopping habits, with individuals earning less than ****** U.S. dollars annually showing the highest propensity for mobile-based purchases.

  5. E-commerce areas where AI is useful according to executives 2021

    • statista.com
    Updated May 26, 2025
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    Statista (2025). E-commerce areas where AI is useful according to executives 2021 [Dataset]. https://www.statista.com/statistics/1175063/ai-help-business-ecommerce-companies-worldwide/
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    Dataset updated
    May 26, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Oct 2020
    Area covered
    Europe, North America
    Description

    An October 2020 survey revealed that 70 percent of e-commerce decision makers in North America and Europe believed AI would help their business with personalization in 2021. Additionally, 54 percent of the executives surveyed hoped AI would help with their site search. Just four percent of respondents did not think AI would help their company.

  6. 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).

  7. eCommerce Statistics in United Arab Emirates 2025

    • aftership.com
    pdf
    Updated Jan 16, 2024
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    AfterShip (2024). eCommerce Statistics in United Arab Emirates 2025 [Dataset]. https://www.aftership.com/ecommerce/statistics/regions/ae
    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

    Area covered
    United Arab Emirates
    Description

    Discover the latest eCommerce statistics in United Arab Emirates for 2025, including store count by category and platform, estimated sales amount by platform and category, products sold by platform and category, and total app spend by platform and category. Gain valuable insights into the retail landscape in United Arab Emirates, uncovering the distribution of stores across categories and platforms.

  8. M-commerce market size in Japan 2014-2023

    • statista.com
    • ai-chatbox.pro
    Updated Aug 16, 2024
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    Statista (2024). M-commerce market size in Japan 2014-2023 [Dataset]. https://www.statista.com/statistics/807299/japan-mobile-commerce-market-size/
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    Dataset updated
    Aug 16, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Japan
    Description

    The mobile commerce market size in Japan stood at around 6.7 trillion Japanese yen as of 2023. It almost tripled over the last decade. The mobile commerce market consists of the three segments shopping, services, and transactions.

  9. 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.

  10. eCommerce Statistics in Morocco 2025

    • aftership.com
    pdf
    Updated Jan 16, 2024
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    AfterShip (2024). eCommerce Statistics in Morocco 2025 [Dataset]. https://www.aftership.com/ecommerce/statistics/regions/ma
    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

    Area covered
    Morocco
    Description

    Discover the latest eCommerce statistics in Morocco for 2025, including store count by category and platform, estimated sales amount by platform and category, products sold by platform and category, and total app spend by platform and category. Gain valuable insights into the retail landscape in Morocco, uncovering the distribution of stores across categories and platforms.

  11. d

    E-commerce data sources & analytics

    • datarade.ai
    .json, .csv, .xls
    Updated Oct 18, 2022
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    Forloop.ai (2022). E-commerce data sources & analytics [Dataset]. https://datarade.ai/data-products/e-commerce-data-sources-analytics-forloop-ai
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    .json, .csv, .xlsAvailable download formats
    Dataset updated
    Oct 18, 2022
    Dataset provided by
    Forloop.ai
    Area covered
    Aruba, New Zealand, Equatorial Guinea, French Guiana, Canada, Thailand, Guernsey, Bulgaria, Montenegro, Antarctica
    Description

    Maximize your online sales potential with our e-commerce data and analytics solutions. Our comprehensive suite of data sources includes real-time information on market trends, consumer behavior, and product pricing. With our advanced analytics tools, you can unlock the power of data-driven insights to optimize your online sales strategy, improve customer engagement, and drive revenue growth.

    Whether you want to identify new opportunities, streamline your operations, or stay ahead of the competition, our e-commerce data and analytics product can help you achieve your goals.

    Sources: Cubus Official COS Boozt BIK BOK AS Royal Design Group Holding AB Bagaren och Kocken AB Rum21 Svenskt Tenn Kökets favoriter lannamobler.se KWA Garden furniture Confident Living Stalands Möbler Trendrum AB Svenssons Nordiska Galleriet Jotex Jollyroom Monki New Bubbleroom Sweden AB Wegot KitchenTime AB Lindex NA-KD.com Olsson & Gerthel Nordic Nest Bonprix Nederland Vero Moda Care of Carl Cervera Zoovillage ARKET Kappahl DesignTorget Mio AB Afound

  12. Canadian Internet Use and e-Commerce – Data from the 2010 Internet User...

    • open.canada.ca
    • ouvert.canada.ca
    • +1more
    html, pdf
    Updated Feb 23, 2022
    + more versions
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    Statistics Canada (2022). Canadian Internet Use and e-Commerce – Data from the 2010 Internet User Survey - Infographics [Dataset]. https://open.canada.ca/data/en/dataset/4d088dae-b538-4d45-864e-b0dd0277852d
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    html, pdfAvailable download formats
    Dataset updated
    Feb 23, 2022
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    License

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

    Area covered
    Canada
    Description

    In 2010, the Canadian Internet Use Survey (CIUS) was redesigned to better measure the type and speed of household Internet connections. The CIUS consists of a household component that measures home access, and an individual component that measures online behaviours, including the use of e-commerce. This infographic describes some results of the Canadian Internet Use and e-Commerce survey of 2010.

  13. eCommerce Statistics in Singapore 2025

    • aftership.com
    pdf
    Updated Jan 16, 2024
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    AfterShip (2024). eCommerce Statistics in Singapore 2025 [Dataset]. https://www.aftership.com/ecommerce/statistics/regions/sg
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    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

    Area covered
    Singapore
    Description

    Discover the latest eCommerce statistics in Singapore for 2025, including store count by category and platform, estimated sales amount by platform and category, products sold by platform and category, and total app spend by platform and category. Gain valuable insights into the retail landscape in Singapore, uncovering the distribution of stores across categories and platforms.

  14. eCommerce Statistics in South Africa 2025

    • aftership.com
    pdf
    Updated Jan 16, 2024
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    AfterShip (2024). eCommerce Statistics in South Africa 2025 [Dataset]. https://www.aftership.com/ecommerce/statistics/regions/za
    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

    Area covered
    South Africa
    Description

    Discover the latest eCommerce statistics in South Africa for 2025, including store count by category and platform, estimated sales amount by platform and category, products sold by platform and category, and total app spend by platform and category. Gain valuable insights into the retail landscape in South Africa, uncovering the distribution of stores across categories and platforms.

  15. Qatar Stores Distributed by Monthly Sales

    • aftership.com
    Updated Jan 16, 2024
    + more versions
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    AfterShip (2024). Qatar Stores Distributed by Monthly Sales [Dataset]. https://www.aftership.com/ecommerce/statistics/regions/qa
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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

    Area covered
    Qatar
    Description

    This chart provides a detailed overview of the number of Qatar online retailers by Monthly Sales. Most Qatar stores' Monthly Sales are Less than $100.00, there are 1.17K stores, which is 98.57% of total. In second place, 9 stores' Monthly Sales are $10.00M to $100.00M, which is 0.76% of total. Meanwhile, 6 stores' Monthly Sales are $100.00K to $1.00M, which is 0.51% of total. This breakdown reveals insights into Qatar stores distribution, providing a comprehensive picture of the performance and efficient of online retailer.

  16. eCommerce Statistics in Montenegro 2025

    • aftership.com
    pdf
    Updated Jan 16, 2024
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    AfterShip (2024). eCommerce Statistics in Montenegro 2025 [Dataset]. https://www.aftership.com/ecommerce/statistics/regions/me
    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

    Area covered
    Montenegro
    Description

    Discover the latest eCommerce statistics in Montenegro for 2025, including store count by category and platform, estimated sales amount by platform and category, products sold by platform and category, and total app spend by platform and category. Gain valuable insights into the retail landscape in Montenegro, uncovering the distribution of stores across categories and platforms.

  17. E-commerce holiday season revenue in the U.S. 2020-2024, by shopping day

    • statista.com
    Updated Oct 30, 2024
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    Statista (2024). E-commerce holiday season revenue in the U.S. 2020-2024, by shopping day [Dataset]. https://www.statista.com/statistics/861193/us-holiday-season-retail-e-commerce-spending-by-online-shopping-day/
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    Dataset updated
    Oct 30, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    Expected to reach 12 billion U.S. dollars, Cyber Monday is the shopping day with the highest e-commerce sales revenue in the United States in 2023. Black Friday ranks second, with over nine billion dollars in online revenue according to the latest forecasts.

  18. Software development and computer services, e-commerce sales

    • data.wu.ac.at
    • www150.statcan.gc.ca
    • +3more
    csv, html, xml
    Updated Jun 27, 2018
    + more versions
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    Statistics Canada | Statistique Canada (2018). Software development and computer services, e-commerce sales [Dataset]. https://data.wu.ac.at/schema/www_data_gc_ca/Yzc2YWZhYjItODA1OC00N2E2LWJjNjUtZDc2M2FmMGU3OTNk
    Explore at:
    html, xml, csvAvailable download formats
    Dataset updated
    Jun 27, 2018
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    License

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

    Description

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

  19. United Arab Emirates Online Stores Monthly Sales by Platform

    • aftership.com
    Updated Jan 16, 2024
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    AfterShip (2024). United Arab Emirates Online Stores Monthly Sales by Platform [Dataset]. https://www.aftership.com/ecommerce/statistics/regions/ae
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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

    Area covered
    United Arab Emirates
    Description

    This chart illustrates the estimated sales amounts generated by stores on various platforms within United Arab Emirates. Custom Cart shows a significant lead, with total sales amounting to $51.39B, which constitutes 50.68% of the region's total sales on platforms. Salesforce Commerce Cloud reports sales of $48.12B, accounting for 47.46% of the total platform sales in United Arab Emirates. Magento also holds a notable share, with its sales reaching $1.22B, representing 1.20% of the overall sales amount. This data provides a comprehensive view of the market dynamics in United Arab Emirates, highlighting which platforms are driving the most sales.

  20. Grips Competitive Intelligence (global e-commerce data)

    • datarade.ai
    Updated Jul 17, 2023
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    Grips Intelligence (2023). Grips Competitive Intelligence (global e-commerce data) [Dataset]. https://datarade.ai/data-products/grips-competitive-intelligence-global-e-commerce-data-grips-intelligence
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    Dataset updated
    Jul 17, 2023
    Dataset authored and provided by
    Grips Intelligence
    Area covered
    United Kingdom, United States of America, Germany
    Description

    Website visitation is nice, but sales and revenue are better. Grips tracks e-commerce-based sales across 5,000+ product categories, 30k retailers, and brands, enabling you to understand market size, share, opportunities, and threats.

    Use Cases

    Domain e-commerce performance Harness the power of data-driven analysis to evaluate critical metrics such as revenue, average order value (AOV), conversion rate, channels, and product assortment for an extensive selection of 30,000 leading e-commerce retailers, enabling you to make strategic decisions and stay ahead in the dynamic online marketplace.

    Product Category e-commerce performance Unlock the potential of your business with our game-changing Share of Wallet analysis. Gain valuable insights into the market size and growth of over 5000+ product categories, as well as your retailer or brand's market share within each category.

    Brand e-commerce performance Gain deep insights into the market size, share, and revenue growth of 30,000 top e-commerce brands in the digital ecosystem, exploring key metrics such as units sold, average price, and more. Empower your business with comprehensive data to make informed decisions and capitalize on lucrative opportunities in the ever-evolving online marketplace.

    Data Methodology

    We have a unique mix of sources from where we gather digital signals.

    • Raw data collection - we have developed several productivity tools, including Retailer Benchmarking, which collectively create the world’s largest transactional dataset - public data captured from millions of sites and partnerships with top data providers.

    • Data processing - cleaning and formatting, classification of products, sites and more preparation for the modelling phase.

    • Data modeling: from the billions of digital signals we extrapolate in detail how global e-commerce sites and products are performing.

    7-day free trial available Sign up for free at: https://gripsintelligence.com/

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(2025). Digital Payment Services [Dataset]. https://www.searchlogistics.com/learn/statistics/ecommerce-statistics/

Data from: Digital Payment Services

Related Article
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2 scholarly articles cite this dataset (View in Google Scholar)
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

These are the most popular digital payment services.

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