100+ datasets found
  1. F

    E-Commerce Retail Sales as a Percent of Total Sales

    • fred.stlouisfed.org
    json
    Updated Aug 19, 2025
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    (2025). E-Commerce Retail Sales as a Percent of Total Sales [Dataset]. https://fred.stlouisfed.org/series/ECOMPCTSA
    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 (ECOMPCTSA) from Q4 1999 to Q2 2025 about e-commerce, retail trade, percent, sales, retail, and USA.

  2. E-commerce as share of total retail sales worldwide 2017-2030

    • abripper.com
    • statista.com
    • +2more
    Updated Sep 2, 2025
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    Statista (2025). E-commerce as share of total retail sales worldwide 2017-2030 [Dataset]. https://abripper.com/lander/abripper.com/index.php?_=%2Fstatistics%2F534123%2Fe-commerce-share-of-retail-sales-worldwide%2F%2341%2FknbtSbwP4AQxR5jTrc%2Fhf8cOrBy0%3D
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    Dataset updated
    Sep 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 2025, e-commerce accounted for over ***percent of retail sales worldwide. Forecasts indicate that by 2030, the online segment will make up ***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 approach * trillion U.S. dollars by 2030. Digital development boomed during the COVID-19 pandemic, generating unprecedented e-commerce growth in various economies across the globe. This trend correlates strongly with the constantly improving online access, especially in "mobile-first" online communities, which have long struggled with traditional commercial fixed broadband connections due to financial or infrastructure constraints but enjoy the advantages of cheap mobile broadband connections. M-commerce on the rise The order share of online shopping via smartphones and tablets now outperforms traditional e-commerce via desktop computers. As such, 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 2023, South Korea 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. Malaysia, UAE, and Turkey completed the top of the ranking.

  3. Retail Sales Index internet sales

    • ons.gov.uk
    • cy.ons.gov.uk
    xlsx
    Updated Sep 19, 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
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    xlsxAvailable download formats
    Dataset updated
    Sep 19, 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.

  4. Global retail e-commerce sales 2022-2028

    • statista.com
    • abripper.com
    • +1more
    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.

  5. Online Retail Market - Share, Trends & Size

    • mordorintelligence.com
    pdf,excel,csv,ppt
    Updated Oct 16, 2024
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    Mordor Intelligence (2024). Online Retail Market - Share, Trends & Size [Dataset]. https://www.mordorintelligence.com/industry-reports/global-e-retail-market
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    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    Oct 16, 2024
    Dataset provided by
    Authors
    Mordor Intelligence
    License

    https://www.mordorintelligence.com/privacy-policyhttps://www.mordorintelligence.com/privacy-policy

    Time period covered
    2020 - 2030
    Area covered
    Global
    Description

    The E-Retail Market is Segmented by Product (home Appliances and Electronics, Clothing, Footwear and Accessories, Food and Personal Care, Furniture and Home Decor, and Other Products) and by Geography (North America, Europe, Asia-Pacific, Middle East and Africa, and South America). The Report Offers Market Size and Forecasts in Value (USD ) for all the Above Segments.

  6. E-Commerce Retail Market Analysis, Size, and Forecast 2025-2029: North...

    • technavio.com
    pdf
    Updated Jun 18, 2025
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    Technavio (2025). E-Commerce Retail Market Analysis, Size, and Forecast 2025-2029: North America (US and Canada), Europe (France, Germany, Italy, and UK), APAC (China, India, Japan, and South Korea), and Rest of World (ROW) [Dataset]. https://www.technavio.com/report/e-commerce-retail-market-industry-analysis
    Explore at:
    pdfAvailable download formats
    Dataset updated
    Jun 18, 2025
    Dataset provided by
    TechNavio
    Authors
    Technavio
    License

    https://www.technavio.com/content/privacy-noticehttps://www.technavio.com/content/privacy-notice

    Time period covered
    2025 - 2029
    Area covered
    United States
    Description

    Snapshot img

    E-Commerce Retail Market Size 2025-2029

    The e-commerce retail market size is forecast to increase by USD 4,833.5 billion at a CAGR of 12% between 2024 and 2029.

    The market is experiencing significant growth, driven by the advent of personalized shopping experiences. Consumers increasingly expect tailored recommendations and seamless interactions, leading retailers to integrate advanced technologies such as Artificial Intelligence (AI) to enhance the shopping journey. However, this market is not without challenges. Strict regulatory policies related to compliance and customer protection pose obstacles for retailers, requiring continuous investment in technology and resources to ensure adherence.
    Retailers must navigate these challenges to effectively capitalize on the market's potential and deliver value to customers. By focusing on personalization and regulatory compliance, e-commerce retailers can differentiate themselves, build customer loyalty, and ultimately thrive in this dynamic market. Balancing the need for innovation with regulatory requirements is a delicate task, necessitating strategic planning and operational agility. Fraud prevention and customer retention are crucial aspects of e-commerce, with payment gateways ensuring secure transactions.
    

    What will be the Size of the E-Commerce Retail Market during the forecast period?

    Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
    Request Free Sample

    In the dynamic market, shopping carts and checkout processes streamline transactions, while sales forecasting and marketing automation help businesses anticipate consumer demand and optimize promotions. SMS marketing and targeted advertising reach customers effectively, driving sales growth. Warranty claims and customer support chatbots ensure post-purchase satisfaction, bolstering customer loyalty. Retail technology advances, including sustainable packaging, green logistics, and mobile optimization, cater to environmentally-conscious consumers. Legal compliance, data encryption, and fraud detection safeguard businesses and consumer trust. Product reviews, search functionality, and personalized recommendations enhance the shopping experience, fostering customer engagement.
    Dynamic pricing and delivery networks adapt to market fluctuations and consumer preferences, respectively. E-commerce software integrates various functionalities, from circular economy initiatives and website accessibility to email automation and real-time order tracking. Overall, the e-commerce landscape continues to evolve, with businesses adopting innovative strategies to meet the needs of diverse customer segments and stay competitive.
    

    How is this E-Commerce Retail Industry segmented?

    The e-commerce retail industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

    Product
    
      Apparel and accessories
      Groceries
      Footwear
      Personal and beauty care
      Others
    
    
    Modality
    
      Business to business (B2B)
      Business to consumer (B2C)
      Consumer to consumer (C2C)
    
    
    Device
    
      Mobile
      Desktop
    
    
    Geography
    
      North America
    
        US
        Canada
    
    
      Europe
    
        France
        Germany
        Italy
        UK
    
    
      APAC
    
        China
        India
        Japan
        South Korea
    
    
      Rest of World (ROW)
    

    By Product Insights

    The apparel and accessories segment is estimated to witness significant growth during the forecast period. The market for apparel and accessories is experiencing significant growth, fueled by several key trends. Increasing consumer affluence and a shift toward premiumization are driving this expansion, with the organized retail sector seeing particular growth. Influenced by social media trends, the Gen Z demographic is a major contributor to this rise in online shopping. This demographic is known for their preference for the latest fashion trends and their willingness to invest in premium products, making them a valuable market segment. Machine learning and artificial intelligence are increasingly being used for returns management and personalized recommendations, enhancing the customer experience.

    Ethical sourcing and supply chain optimization are also essential, as consumers demand transparency and sustainability. Cybersecurity threats continue to pose challenges, requiring robust strategies and technologies. B2C and C2C e-commerce are thriving, with influencer marketing and e-commerce analytics playing significant roles. Customer reviews are essential for building trust and brand loyalty, while reputation management and affiliate marketing help expand reach. Sustainable e-commerce and b2b e-commerce are also gaining traction, with third-party logistics and social commerce offering new opportunities. Augment

  7. y

    US E-Commerce Sales as Percent of Retail Sales

    • ycharts.com
    html
    Updated Aug 19, 2025
    + more versions
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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
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Aug 19, 2025
    Dataset provided by
    YCharts
    Authors
    Census Bureau
    License

    https://www.ycharts.com/termshttps://www.ycharts.com/terms

    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…

  8. Retail ecommerce sales in India 2019-2025

    • statista.com
    Updated Jun 23, 2025
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    Statista (2025). Retail ecommerce sales in India 2019-2025 [Dataset]. https://www.statista.com/statistics/255359/online-retail-sales-in-india/
    Explore at:
    Dataset updated
    Jun 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    India
    Description

    Online shopping sales across India amounted to around ** billion U.S. dollars in 2021. The e-commerce market is likely to grow to over *** billion U.S. dollars by 2025. The e-commerce market in India is the fastest-growing market in the world. Online retail segments In fiscal year 2017, the retail market was led by electronics with a penetration rate of about ** percent. However, in terms of groceries, local offline vendors or kiranas continued to be the preferred choice for daily groceries due the ease of bargaining and benefitting from the ‘old-customer’ designation with extra rations as a gesture from the vendor. Nevertheless, the number of online shoppers in the country was estimated to increase to over *** million in 2025, up from around ** million in 2017. Impact of COVID-19 on the marketThe coronavirus outbreak in March 2020 caused a surge in prices across e-commerce platforms. Panic purchasing resulted in the shortage of sanitary and food items online as well as in physical stores across the country. As the online consumption continued to increase, unscrupulous sellers jacked up the prices on certain items. Amazon and Flipkart, the two e-commerce market leaders in India urged sellers and even blocked certain products to exercise responsible pricing. Manufacturers increased production in order to keep up with the supply of fast-moving items. With the uncertainty surrounding the impact of COVID-19, manufacturers and retailers will presumably have to work in unison to keep track of an unprecedented demand and supply scenario.

  9. C

    China Online Retail Sales: YoY: ytd: Goods

    • ceicdata.com
    Updated Feb 5, 2025
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    CEICdata.com (2025). China Online Retail Sales: YoY: ytd: Goods [Dataset]. https://www.ceicdata.com/en/china/online-retail-sales/online-retail-sales-yoy-ytd-goods
    Explore at:
    Dataset updated
    Feb 5, 2025
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Dec 1, 2023 - Dec 1, 2024
    Area covered
    China
    Variables measured
    Domestic Trade
    Description

    China Online Retail Sales: YoY: Year to Date: Goods data was reported at 5.700 % in Mar 2025. This records an increase from the previous number of 5.000 % for Feb 2025. China Online Retail Sales: YoY: Year to Date: Goods data is updated monthly, averaging 19.900 % from Jun 2014 (Median) to Mar 2025, with 115 observations. The data reached an all-time high of 49.900 % in Sep 2014 and a record low of 3.000 % in Feb 2020. China Online Retail Sales: YoY: Year to Date: Goods data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Consumer Goods and Services – Table CN.HA: Online Retail Sales.

  10. C

    China Online Retail Sales: YoY: ytd: Goods and Service

    • ceicdata.com
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    CEICdata.com, China Online Retail Sales: YoY: ytd: Goods and Service [Dataset]. https://www.ceicdata.com/en/china/online-retail-sales/online-retail-sales-yoy-ytd-goods-and-service
    Explore at:
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Dec 1, 2023 - Dec 1, 2024
    Area covered
    China
    Variables measured
    Domestic Trade
    Description

    China Online Retail Sales: YoY: Year to Date: Goods and Service data was reported at 7.900 % in Mar 2025. This records an increase from the previous number of 7.300 % for Feb 2025. China Online Retail Sales: YoY: Year to Date: Goods and Service data is updated monthly, averaging 17.100 % from Feb 2015 (Median) to Mar 2025, with 112 observations. The data reached an all-time high of 44.600 % in Feb 2015 and a record low of -3.000 % in Feb 2020. China Online Retail Sales: YoY: Year to Date: Goods and Service data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Consumer Goods and Services – Table CN.HA: Online Retail Sales.

  11. C

    China Online Retail Sales: ytd: Goods

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). China Online Retail Sales: ytd: Goods [Dataset]. https://www.ceicdata.com/en/china/online-retail-sales/online-retail-sales-ytd-goods
    Explore at:
    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Feb 1, 2024 - Feb 1, 2025
    Area covered
    China
    Variables measured
    Domestic Trade
    Description

    China Online Retail Sales: Year to Date: Goods data was reported at 2,994.820 RMB bn in Mar 2025. This records an increase from the previous number of 1,863.260 RMB bn for Feb 2025. China Online Retail Sales: Year to Date: Goods data is updated monthly, averaging 3,682.600 RMB bn from Jun 2013 (Median) to Mar 2025, with 117 observations. The data reached an all-time high of 13,081.570 RMB bn in Dec 2024 and a record low of 399.100 RMB bn in Feb 2015. China Online Retail Sales: Year to Date: Goods data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Consumer Goods and Services – Table CN.HA: Online Retail Sales.

  12. FRED: U.S. Advance Retail Sales Dataset

    • kaggle.com
    Updated Sep 8, 2025
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    Swati Hegde (2025). FRED: U.S. Advance Retail Sales Dataset [Dataset]. https://www.kaggle.com/datasets/swatih/fred-u-s-advance-retail-sales-dataset
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Sep 8, 2025
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Swati Hegde
    Area covered
    United States
    Description

    This dataset, identified by the series ID RSXFS, is sourced from the U.S. Census Bureau and is available through the Federal Reserve Economic Data (FRED) system of the St. Louis Fed. It provides a monthly measure of retail sales across the United States. The data represents the total value of sales at retail and food services stores, measured in millions of dollars and adjusted for seasonal variations. It is important to note that the most recent month's value is an advance estimate, which is subject to revision in subsequent months as more comprehensive data becomes available. As a key economic indicator, this series is widely used by economists and analysts to gauge consumer spending and assess the overall health of the U.S. economy.

    Suggested Use Cases: - This dataset is highly valuable for economic analysis and can be used to: - Conduct time series analysis and modeling. - Track consumer spending patterns. - Forecast future retail sales. - Analyze the impact of economic events on the retail sector.

    License The RSXFS dataset is sourced from the U.S. Census Bureau and is considered Public Domain: Citation Requested. This means the data is freely available for use, but you must cite the source and acknowledge that the data was obtained from FRED. If you plan on using any copyrighted series from other data providers on FRED for commercial purposes, you would need to contact the original data owner for permission.

    Data Fields: The dataset primarily contains two columns: - observation_date: The date of the monthly data point, recorded as the first day of each month from January 1992 to July 2025. - RSXFS: The value of advance retail sales in millions of dollars.

    Citation and Provenance:
    Source: U.S. Census Bureau
    Release: Advance Monthly Sales for Retail and Food Services
    FRED Link: https://fred.stlouisfed.org/series/RSXFS
    Citation: U.S. Census Bureau, Advance Retail Sales: Retail Trade [RSXFS], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/RSXFS, September 8, 2025.

  13. A

    Australia Online Retail Sales

    • ceicdata.com
    Updated Jan 15, 2025
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    CEICdata.com (2025). Australia Online Retail Sales [Dataset]. https://www.ceicdata.com/en/australia/online-retail-sales/online-retail-sales
    Explore at:
    Dataset updated
    Jan 15, 2025
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Feb 1, 2024 - Jan 1, 2025
    Area covered
    Australia
    Variables measured
    Domestic Trade
    Description

    Australia Online Retail Sales data was reported at 4,207.200 AUD mn in Mar 2025. This records an increase from the previous number of 3,758.800 AUD mn for Feb 2025. Australia Online Retail Sales data is updated monthly, averaging 1,659.100 AUD mn from Mar 2013 (Median) to Mar 2025, with 145 observations. The data reached an all-time high of 5,349.400 AUD mn in Dec 2024 and a record low of 417.400 AUD mn in Mar 2013. Australia Online Retail Sales data remains active status in CEIC and is reported by Australian Bureau of Statistics. The data is categorized under Global Database’s Australia – Table AU.H020: Online Retail Sales. [COVID-19-IMPACT]

  14. Online Retail Sales Proportion (Out Of The Respective Industry's Total...

    • data.gov.sg
    Updated Oct 4, 2025
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    Singapore Department of Statistics (2025). Online Retail Sales Proportion (Out Of The Respective Industry's Total Sales), Monthly [Dataset]. https://data.gov.sg/datasets/d_65e4d47c3616d251f9a84ec1ad28f43c/view
    Explore at:
    Dataset updated
    Oct 4, 2025
    Dataset authored and provided by
    Singapore Department of Statistics
    License

    https://data.gov.sg/open-data-licencehttps://data.gov.sg/open-data-licence

    Time period covered
    Jan 2018 - Aug 2025
    Description

    Dataset from Singapore Department of Statistics. For more information, visit https://data.gov.sg/datasets/d_65e4d47c3616d251f9a84ec1ad28f43c/view

  15. Online retail sales in the United Kingdom (UK) 2012-2022

    • statista.com
    • tokrwards.com
    Updated Jun 24, 2025
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    Statista (2025). Online retail sales in the United Kingdom (UK) 2012-2022 [Dataset]. https://www.statista.com/statistics/315506/online-retail-sales-in-the-united-kingdom/
    Explore at:
    Dataset updated
    Jun 24, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United Kingdom
    Description

    Online retail in the United Kingdom has been gaining ground in the past decade. With the onset of the coronavirus (COVID-19) crisis, the value of online retail sales in the United Kingdom is estimated to reach just below *** billion British pounds in 2021. In 2022, the figure decreased to *** billion British pounds. What ranks high in UK e-commerce? In the United Kingdom, clothing and household goods were the most popular retail items consumers purchased through the internet in 2020. Data published by the Office for National Statistics (UK) showed that other leisure activities and services such as booking holiday accommodations, travel arrangements and event tickets were other areas consumers depended on the internet to buy. German e-commerce market The UK might have the highest share of online sales in retail trade, but other European countries such as Germany and France have had impressive track records over the years as well. According to the forecasts provided by German E-commerce and Distance Selling Trade Association (bevh), the market volume of Germany’s e-commerce sector was projected to see over ** billion euros in 2021.

  16. U

    United States Retail Sales: E Commerce

    • ceicdata.com
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    CEICdata.com, United States Retail Sales: E Commerce [Dataset]. https://www.ceicdata.com/en/united-states/retail-sales-by-naic-system-quarterly/retail-sales-e-commerce
    Explore at:
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Mar 1, 2015 - Dec 1, 2017
    Area covered
    United States
    Variables measured
    Domestic Trade
    Description

    United States Retail Sales: E Commerce data was reported at 121.460 USD bn in Sep 2018. This records an increase from the previous number of 120.479 USD bn for Jun 2018. United States Retail Sales: E Commerce data is updated quarterly, averaging 36.097 USD bn from Dec 1999 (Median) to Sep 2018, with 76 observations. The data reached an all-time high of 141.719 USD bn in Dec 2017 and a record low of 5.241 USD bn in Dec 1999. United States Retail Sales: E Commerce data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s United States – Table US.H002: Retail Sales: By NAIC System: Quarterly.

  17. E-Commerce Sales Dataset

    • kaggle.com
    Updated Dec 3, 2022
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    The Devastator (2022). E-Commerce Sales Dataset [Dataset]. https://www.kaggle.com/datasets/thedevastator/unlock-profits-with-e-commerce-sales-data/code
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Dec 3, 2022
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    The Devastator
    Description

    E-Commerce Sales Dataset

    Analyzing and Maximizing Online Business Performance

    By ANil [source]

    About this dataset

    This dataset provides an in-depth look at the profitability of e-commerce sales. It contains data on a variety of sales channels, including Shiprocket and INCREFF, as well as financial information on related expenses and profits. The columns contain data such as SKU codes, design numbers, stock levels, product categories, sizes and colors. In addition to this we have included the MRPs across multiple stores like Ajio MRP , Amazon MRP , Amazon FBA MRP , Flipkart MRP , Limeroad MRP Myntra MRP and PaytmMRP along with other key parameters like amount paid by customer for the purchase , rate per piece for every individual transaction Also we have added transactional parameters like Date of sale months category fulfilledby B2b Status Qty Currency Gross amt . This is a must-have dataset for anyone trying to uncover the profitability of e-commerce sales in today's marketplace

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    How to use the dataset

    This dataset provides a comprehensive overview of e-commerce sales data from different channels covering a variety of products. Using this dataset, retailers and digital marketers can measure the performance of their campaigns more accurately and efficiently.

    The following steps help users make the most out of this dataset: - Analyze the general sales trends by examining info such as month, category, currency, stock level, and customer for each sale. This will give you an idea about how your e-commerce business is performing in each channel.
    - Review the Shiprocket and INCREF data to compare and analyze profitability via different fulfilment methods. This comparison would enable you to make better decisions towards maximizing profit while minimizing costs associated with each method’s referral fees and fulfillment rates.
    - Compare prices between various channels such as Amazon FBA MRP, Myntra MRP, Ajio MRP etc using the corresponding columns for each store (Amazon MRP etc). You can judge which stores are offering more profitable margins without compromising on quality by analyzing these pricing points in combination with other information related to product sales (TP1/TP2 - cost per piece).
    - Look at customer specific data such as TP 1/TP 2 combination wise Gross Amount or Rate info in terms price per piece or total gross amount generated by any SKU dispersed over multiple customers with relevant dates associated to track individual item performance relative to others within its category over time periods shortlisted/filtered appropriately.. Have an eye on items commonly utilized against offers or promotional discounts offered hence crafting strategies towards inventory optimization leading up-selling operations.?
    - Finally Use Overall ‘Stock’ details along all the P & L Data including Yearly Expenses_IIGF information record for takeaways which might be aimed towards essential cost cutting measures like switching amongst delivery options carefully chosen out of Shiprocket & INCREFF leadings away from manual inspections catering savings under support personnel outsourcing structures.?

    By employing a comprehensive understanding on how our internal subsidiaries perform globally unless attached respective audits may provide us remarkably lower operational costs servicing confidence; costing far lesser than being incurred taking into account entire pallet shipments tracking sheets representing current level supply chains efficiencies achieved internally., then one may finally scale profits exponentially increases cut down unseen losses followed up introducing newer marketing campaigns necessarily tailored according playing around multiple goods based spectrums due powerful backing suitable transportation boundaries set carefully

    Research Ideas

    • Analysing the difference in profitability between sales made through Shiprocket and INCREFF. This data can be used to see where the biggest profit margins lie, and strategize accordingly.
    • Examining the Complete Cost structure of a product with all its components and their contribution towards revenue or profitability, i.e., TP 1 & 2, MRP Old & Final MRP Old together with Platform based MRP - Amazon, Myntra and Paytm etc., Currency based Profit Margin etc.
    • Building a predictive model using Machine Learning by leveraging historical data to predict future sales volume and profits for e-commerce products across multiple categories/devices/platforms such as Amazon, Flipkart, Myntra etc as well providing m...
  18. Quarterly e-commerce share in total U.S. retail sales 2010-2025

    • statista.com
    • grusthub.com
    Updated Jul 4, 2025
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    Statista (2025). Quarterly e-commerce share in total U.S. retail sales 2010-2025 [Dataset]. https://www.statista.com/statistics/187439/share-of-e-commerce-sales-in-total-us-retail-sales-in-2010/
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    Dataset updated
    Jul 4, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In the first quarter 2025, the share of e-commerce in total U.S. retail sales stood at **** percent, up from the previous quarter. From January to March 2025, retail e-commerce sales in the United States hit over *** billion U.S. dollars, the highest quarterly revenue in history. How e-commerce measures up in total U.S. retail In 2024, the reported total value of retail e-commerce sales in the United States amounted to over ****trillion U.S. dollars—impressive, but the figure pales compared to the total annual retail trade value of ******trillion U.S. dollars. Rising e-commerce segments Online shopping is popular among all age groups, though digital purchases are most common among Millennial internet users. In 2022, around ** percent of Millennials purchased items via the internet. Mobile commerce is also growing in popularity, as consumers increasingly rely on their smartphones and mobile apps for shopping activities. In the fourth quarter of 2022, m-commerce spending made up ** percent of the overall online spending in the United States.

  19. Online Retail Market in the US by Product and Device - Forecast and Analysis...

    • technavio.com
    pdf
    Updated Mar 3, 2022
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    Technavio (2022). Online Retail Market in the US by Product and Device - Forecast and Analysis 2022-2026 [Dataset]. https://www.technavio.com/report/online-retail-market-industry-in-the-us-analysis
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    pdfAvailable download formats
    Dataset updated
    Mar 3, 2022
    Dataset provided by
    TechNavio
    Authors
    Technavio
    License

    https://www.technavio.com/content/privacy-noticehttps://www.technavio.com/content/privacy-notice

    Time period covered
    2021 - 2026
    Area covered
    United States
    Description

    Snapshot img

    The online retail market share in the US is expected to increase to USD 460.13 billion from 2021 to 2026, and the market’s growth momentum will accelerate at a CAGR of 11.64%.

    The report extensively covers online retail market in the US segmentation by the following:

    Product - Apparel, footwear, and accessories, consumer electronics and electricals, food and grocery, home furniture and furnishing, and others
    Device - Smartphones and tablets and PCs
    

    The US online retail market report offers information on several market vendors, including Amazon.com Inc., Apple Inc., Best Buy Co. Inc., Costco Wholesale Corp., eBay Inc., Kroger Co., Target Corp., The Home Depot Inc., Walmart Inc., and Wayfair Inc. among others.

    This online retail market in the US research report provides valuable insights on the post COVID-19 impact on the market, which will help companies evaluate their business approaches.

    What will the Online Retail Market Size in the US be During the Forecast Period?

    Download the Free Report Sample to Unlock the Online Retail Market Size in the US for the Forecast Period and Other Important Statistics

    Online Retail Market in the US: Key Drivers, Trends, and Challenges

    The growing seasonal and holiday sales is notably driving the online retail market growth in the US, although factors such as transportation and logistics may impede the market growth. Our research analysts have studied the historical data and deduced the key market drivers and the COVID-19 pandemic impact on the online retail industry in the US. The holistic analysis of the drivers will help in deducing end goals and refining marketing strategies to gain a competitive edge.

    Key US Online Retail Market Driver

    The growing seasonal and holiday sales is one of the key drivers supporting the US online retail market growth. For instance, from November 1 to December 24, e-commerce sales in the US increased by 11% in 2021, when compared to a massive 47.2% growth in the holiday season of 2020. E-commerce sales made up 20.9 % of total retail sales in the holiday season of 2021, slightly higher than 20.6 percent in 2020. Thanksgiving, Black Friday, and Cyber Monday are the days that see a high amount of online shopping. Apparel, footwear and accessories, consumer electronics, computer hardware, and toys are the largest gaining product categories during the holiday season. Consumers in the US spent $204.5 billion online in November and December 2021, up 8.6% over the same period in 2020. Such exciting sales and offers are driving the market growth.

    Key US Online Retail Market Trend

    Omni-channel retailing is one of the key US online retail market trends fueling the market growth. It is rapidly becoming the norm for many retailers in the US. It offers consumers the option to shop online and pick up the merchandise from the store nearest to their location on the same day. Retailers are observing a high web influence on their in-store sales. For instance, Best Buy is integrating its offline and online stores to boost revenues. As a part of its omnichannel strategy, the retailer is utilizing physical stores as distribution centers for online purchases. According to Best Buy, 40% of its online shoppers prefer picking up their purchases from physical stores. Best Buy also challenges online and discount retailers with its match-to-price strategy, claiming to offer gadgets at or below the price offered by competitors. Such strategies are expected to boost market growth during the forecast period.

    Key US Online Retail Market Challenge

    Transportation and logistics are some of the factors hindering the US online retail market growth. Product procurement or sourcing, shipment of ordered items, and delivery to customers are the three major processes where the intervention of transportation and logistics come into the picture. All these processes require a high investment of both time and money, which challenges the efficiency and effectiveness of retailers and their costing strategies. The higher cost incurred from transportation and logistics reduces the margin of retailers, and most of the time, retailers are unable to break even. Between rising fuel prices, driver shortages, as well as a governmental and societal push for increased digitization and sustainability, transport and logistics will continue to be under a lot of pressure. Such factors will negatively impact the market growth during the forecast period.

    This online retail market in the US analysis report also provides detailed information on other upcoming trends and challenges that will have a far-reaching effect on the market growth. The actionable insights on the trends and challenges will help companies evaluate and develop growth strategies for 2022-2026.

    Who are the Major Online Retail Market Vendors in the US?

    The report analyzes the market’s competitive landscape and offers information on several market vendors, includi

  20. C

    China Online Retail Sales: YoY: ytd: Service

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). China Online Retail Sales: YoY: ytd: Service [Dataset]. https://www.ceicdata.com/en/china/online-retail-sales/online-retail-sales-yoy-ytd-service
    Explore at:
    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Dec 1, 2017 - Dec 1, 2018
    Area covered
    China
    Variables measured
    Domestic Trade
    Description

    China Online Retail Sales: YoY: Year to Date: Service data was reported at 18.700 % in Dec 2018. This records a decrease from the previous number of 19.700 % for Nov 2018. China Online Retail Sales: YoY: Year to Date: Service data is updated monthly, averaging 41.900 % from Feb 2015 (Median) to Dec 2018, with 27 observations. The data reached an all-time high of 52.900 % in Aug 2017 and a record low of 18.700 % in Dec 2018. China Online Retail Sales: YoY: Year to Date: Service data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Consumer Goods and Services – Table CN.HA: Online Retail Sales.

Share
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(2025). E-Commerce Retail Sales as a Percent of Total Sales [Dataset]. https://fred.stlouisfed.org/series/ECOMPCTSA

E-Commerce Retail Sales as a Percent of Total Sales

ECOMPCTSA

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63 scholarly articles cite this dataset (View in Google Scholar)
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.

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