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

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

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

  2. u

    E-commerce Industry Statistics 2025

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

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

    Time period covered
    2023
    Description

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

  3. Online Retail Market - Share, Trends & Size

    • mordorintelligence.com
    pdf,excel,csv,ppt
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    Mordor Intelligence, 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 authored and provided by
    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.

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

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

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

  5. Biggest online retailers in the U.S. 2023, by market share

    • statista.com
    Updated Apr 22, 2025
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    Statista (2025). Biggest online retailers in the U.S. 2023, by market share [Dataset]. https://www.statista.com/statistics/274255/market-share-of-the-leading-retailers-in-us-e-commerce/
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    Dataset updated
    Apr 22, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Feb 2023
    Area covered
    United States
    Description

    According to estimates, Amazon claimed the top spot among online retailers in the United States in 2023, capturing 37.6 percent of the market. Second place was occupied by the e-commerce site of the retail chain Walmart, with a 6.4 percent market share, followed in third place by Apple, with 3.6 percent.

    Amazon’s continued success

    Amazon has long dominated the e-commerce market as the world’s favorite online marketplace. In 2022, company hit over half a trillion U.S. dollars in net sales. The United States is by far Amazon’s most profitable market, as the U.S. branch generated over 356 billion U.S. dollars in sales in 2022. Germany ranked second, with 33 billion dollars, followed closely by the United Kingdom with 30 billion dollars.

    Online shopping on the rise

    Online shopping has grown significantly over the past decade, with more people turning to the internet for their shopping needs. The proof is in the numbers: the U.S. e-commerce industry was worth almost a trillion dollars in 2023. By 2027, forecasts show that the online market will grow to more than 50 percent. U.S. online shoppers purchase fashion and food and beverages the most via the internet.

  6. Quarterly e-commerce share in total U.S. retail sales 2010-2024

    • statista.com
    Updated May 4, 2025
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    Statista (2025). Quarterly e-commerce share in total U.S. retail sales 2010-2024 [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
    May 4, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In the fourth quarter 2024, the share of e-commerce in total U.S. retail sales stood at 16.4 percent, up from the previous quarter. From October to December 2024, retail e-commerce sales in the United States hit over 309 billion U.S. dollars, the highest quarterly revenue in history. How e-commerce measures up in total U.S. retail In 2023, the reported total value of retail e-commerce sales in the United States amounted to over one trillion U.S. dollars—impressive, but the figure pales compared to the total annual retail trade value of seven trillion U.S. dollars. E-commerce still accounts for a mere 15.4 percent of total retail sales in the United States. 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 55 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 38 percent of the overall online spending in the United States.

  7. Online Retail Transaction Data

    • kaggle.com
    Updated Dec 21, 2023
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    The Devastator (2023). Online Retail Transaction Data [Dataset]. https://www.kaggle.com/datasets/thedevastator/online-retail-transaction-data
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Dec 21, 2023
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    The Devastator
    Description

    Online Retail Transaction Data

    UK Online Retail Sales and Customer Transaction Data

    By UCI [source]

    About this dataset

    Comprehensive Dataset on Online Retail Sales and Customer Data

    Welcome to this comprehensive dataset offering a wide array of information related to online retail sales. This data set provides an in-depth look at transactions, product details, and customer information documented by an online retail company based in the UK. The scope of the data spans vastly, from granular details about each product sold to extensive customer data sets from different countries.

    This transnational data set is a treasure trove of vital business insights as it meticulously catalogues all the transactions that happened during its span. It houses rich transactional records curated by a renowned non-store online retail company based in the UK known for selling unique all-occasion gifts. A considerable portion of its clientele includes wholesalers; ergo, this dataset can prove instrumental for companies looking for patterns or studying purchasing trends among such businesses.

    The available attributes within this dataset offer valuable pieces of information:

    • InvoiceNo: This attribute refers to invoice numbers that are six-digit integral numbers uniquely assigned to every transaction logged in this system. Transactions marked with 'c' at the beginning signify cancellations - adding yet another dimension for purchase pattern analysis.

    • StockCode: Stock Code corresponds with specific items as they're represented within the inventory system via 5-digit integral numbers; these allow easy identification and distinction between products.

    • Description: This refers to product names, giving users qualitative knowledge about what kind of items are being bought and sold frequently.

    • Quantity: These figures ascertain the volume of each product per transaction – important figures that can help understand buying trends better.

    • InvoiceDate: Invoice Dates detail when each transaction was generated down to precise timestamps – invaluable when conducting time-based trend analysis or segmentation studies.

    • UnitPrice: Unit prices represent how much each unit retails at — crucial for revenue calculations or cost-related analyses.

    Finally,

    • Country: This locational attribute shows where each customer hails from, adding geographical segmentation to your data investigation toolkit.

    This dataset was originally collated by Dr Daqing Chen, Director of the Public Analytics group based at the School of Engineering, London South Bank University. His research studies and business cases with this dataset have been published in various papers contributing to establishing a solid theoretical basis for direct, data and digital marketing strategies.

    Access to such records can ensure enriching explorations or formulating insightful hypotheses about consumer behavior patterns among wholesalers. Whether it's managing inventory or studying transactional trends over time or spotting cancellation patterns - this dataset is apt for multiple forms of retail analysis

    How to use the dataset

    1. Sales Analysis:

    Sales data forms the backbone of this dataset, and it allows users to delve into various aspects of sales performance. You can use the Quantity and UnitPrice fields to calculate metrics like revenue, and further combine it with InvoiceNo information to understand sales over individual transactions.

    2. Product Analysis:

    Each product in this dataset comes with its unique identifier (StockCode) and its name (Description). You could analyse which products are most popular based on Quantity sold or look at popularity per transaction by considering both Quantity and InvoiceNo.

    3. Customer Segmentation:

    If you associated specific business logic onto the transactions (such as calculating total amounts), then you could use standard machine learning methods or even RFM (Recency, Frequency, Monetary) segmentation techniques combining it with 'CustomerID' for your customer base to understand customer behavior better. Concatenating invoice numbers (which stand for separate transactions) per client will give insights about your clients as well.

    4. Geographical Analysis:

    The Country column enables analysts to study purchase patterns across different geographical locations.

    Practical applications

    Understand what products sell best where - It can help drive tailored marketing strategies. Anomalies detection – Identify unusual behaviors that might lead frau...

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

    • technavio.com
    Updated Jun 19, 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
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    Dataset updated
    Jun 19, 2025
    Dataset provided by
    TechNavio
    Authors
    Technavio
    Time period covered
    2021 - 2025
    Area covered
    Global, 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 opportunitie

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

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). 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 updated
    Feb 15, 2025
    Dataset provided by
    CEIC Data
    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.

  10. O

    Online Retail Market Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Mar 8, 2025
    + more versions
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    Data Insights Market (2025). Online Retail Market Report [Dataset]. https://www.datainsightsmarket.com/reports/online-retail-market-18701
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    ppt, pdf, docAvailable download formats
    Dataset updated
    Mar 8, 2025
    Dataset authored and provided by
    Data Insights Market
    License

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

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The online retail market, valued at $6.27 billion in 2025, is projected to experience robust growth, fueled by a Compound Annual Growth Rate (CAGR) of 6.23% from 2025 to 2033. This expansion is driven by several key factors. Increasing internet and smartphone penetration globally, particularly in developing economies, provides access to a vastly expanding customer base. Convenience, wider product selection, and competitive pricing offered by online retailers are significant drivers. Furthermore, the rise of e-commerce platforms offering personalized experiences, seamless payment gateways, and efficient delivery services are contributing to market growth. The shift in consumer preferences towards online shopping, accelerated by the recent pandemic, solidifies the long-term growth trajectory of this sector. Significant segments within the market include home appliances and electronics, clothing, footwear, and accessories, food and personal care, and furniture and home décor. Leading players such as Amazon, eBay, Alibaba, and Walmart are constantly innovating to maintain their market share, leading to increased competition and further market dynamism. The geographic distribution of the online retail market reveals significant regional variations. North America and Europe currently hold substantial market shares, driven by high internet penetration and established e-commerce infrastructure. However, the Asia-Pacific region, particularly India and China, demonstrates immense growth potential due to its burgeoning middle class and rapidly expanding digital economy. While challenges remain, such as concerns over data security and cybersecurity, the overall trend points towards sustained and substantial growth for the online retail sector over the forecast period. Effective strategies for businesses will involve adapting to evolving consumer preferences, investing in technological advancements, and navigating the complexities of global logistics and regulations. This will ensure continued success in this dynamic and competitive marketplace. This insightful report provides a detailed analysis of the dynamic online retail market, projecting its trajectory from 2019 to 2033. With a base year of 2025 and an estimated year of 2025, this comprehensive study covers the historical period (2019-2024) and forecasts the market's growth from 2025 to 2033. We delve into key segments like home appliances & electronics, clothing, footwear & accessories, food & personal care, furniture & home décor, and other products, examining market size in millions and exploring the impact of major players including Amazon, eBay, Alibaba, and more. This report is essential for businesses seeking to understand the competitive landscape and capitalize on emerging trends in this multi-billion dollar industry. Recent developments include: In November 2023, Amazon inked a partnership with Meta. This strategic partnership will combine Meta's well-known social media platforms, Facebook and Instagram, with Amazon's enormous product selection to completely transform online shopping., In July 2023, eBay acquired Certilogo, an AI-powered apparel and fashion goods authentication provider.. Notable trends are: The Fashion and Apparel Sector Thrives in the Global E-Retail Boom.

  11. 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
    CEIC Data
    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.

  12. F

    E-Commerce Retail Sales as a Percent of Total Sales

    • fred.stlouisfed.org
    json
    Updated May 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
    May 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 Q1 2025 about e-commerce, retail trade, percent, sales, retail, and USA.

  13. Revenue of the e-commerce industry in the U.S. 2019-2029

    • statista.com
    • ai-chatbox.pro
    Updated Apr 1, 2025
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    Statista (2025). Revenue of the e-commerce industry in the U.S. 2019-2029 [Dataset]. https://www.statista.com/statistics/272391/us-retail-e-commerce-sales-forecast/
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    Dataset updated
    Apr 1, 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 forecast to continuously increase between 2025 and 2029 by in total 498.2 billion U.S. dollars (+37.16 percent). After the tenth consecutive increasing year, the revenue is estimated to reach 1.8 trillion U.S. dollars and therefore a new peak in 2029. Notably, the revenue of the e-commerce market was continuously increasing over the past years.Find other key market indicators concerning the average revenue per user (ARPU) and number of users. The Statista Market Insights cover a broad range of additional markets.

  14. E-commerce Business Transaction

    • kaggle.com
    Updated May 14, 2022
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    Gabriel Ramos (2022). E-commerce Business Transaction [Dataset]. https://www.kaggle.com/datasets/gabrielramos87/an-online-shop-business
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    May 14, 2022
    Dataset provided by
    Kaggle
    Authors
    Gabriel Ramos
    License

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

    Description

    Context

    E-commerce has become a new channel to support businesses development. Through e-commerce, businesses can get access and establish a wider market presence by providing cheaper and more efficient distribution channels for their products or services. E-commerce has also changed the way people shop and consume products and services. Many people are turning to their computers or smart devices to order goods, which can easily be delivered to their homes.

    Content

    This is a sales transaction data set of UK-based e-commerce (online retail) for one year. This London-based shop has been selling gifts and homewares for adults and children through the website since 2007. Their customers come from all over the world and usually make direct purchases for themselves. There are also small businesses that buy in bulk and sell to other customers through retail outlet channels.

    The data set contains 500K rows and 8 columns. The following is the description of each column. 1. TransactionNo (categorical): a six-digit unique number that defines each transaction. The letter “C” in the code indicates a cancellation. 2. Date (numeric): the date when each transaction was generated. 3. ProductNo (categorical): a five or six-digit unique character used to identify a specific product. 4. Product (categorical): product/item name. 5. Price (numeric): the price of each product per unit in pound sterling (£). 6. Quantity (numeric): the quantity of each product per transaction. Negative values related to cancelled transactions. 7. CustomerNo (categorical): a five-digit unique number that defines each customer. 8. Country (categorical): name of the country where the customer resides.

    There is a small percentage of order cancellation in the data set. Most of these cancellations were due to out-of-stock conditions on some products. Under this situation, customers tend to cancel an order as they want all products delivered all at once.

    Inspiration

    Information is a main asset of businesses nowadays. The success of a business in a competitive environment depends on its ability to acquire, store, and utilize information. Data is one of the main sources of information. Therefore, data analysis is an important activity for acquiring new and useful information. Analyze this dataset and try to answer the following questions. 1. How was the sales trend over the months? 2. What are the most frequently purchased products? 3. How many products does the customer purchase in each transaction? 4. What are the most profitable segment customers? 5. Based on your findings, what strategy could you recommend to the business to gain more profit?

    Photo by CardMapr on Unsplash

  15. 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/
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    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.

  16. c

    Online Retail Market - Share, Size and Industry Analysis

    • coherentmarketinsights.com
    Updated Mar 24, 2018
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    Coherent Market Insights (2018). Online Retail Market - Share, Size and Industry Analysis [Dataset]. https://www.coherentmarketinsights.com/market-insight/online-retail-market-1403
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    Dataset updated
    Mar 24, 2018
    Dataset authored and provided by
    Coherent Market Insights
    License

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

    Time period covered
    2025 - 2031
    Area covered
    Global
    Description

    Online Retail Market - Global Industry Insights, Size, Share, Trends, Outlook, and Opportunity Analysis

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

    • www150.statcan.gc.ca
    • open.canada.ca
    • +2more
    Updated Feb 20, 2023
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    Government of Canada, Statistics Canada (2023). Retail trade, total sales and e-commerce sales, inactive [Dataset]. http://doi.org/10.25318/2010006501-eng
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    Dataset updated
    Feb 20, 2023
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

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

  18. t

    Retail E-Commerce Global Market Report 2025

    • thebusinessresearchcompany.com
    pdf,excel,csv,ppt
    Updated Jan 11, 2025
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    The Business Research Company (2025). Retail E-Commerce Global Market Report 2025 [Dataset]. https://www.thebusinessresearchcompany.com/report/retail-e-commerce-global-market-report
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    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    Jan 11, 2025
    Dataset authored and provided by
    The Business Research Company
    License

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

    Description

    Global Retail E-Commerce market size is expected to reach $5780.56 billion by 2029 at 12%, segmented as by type, pure marketplace, hybrid marketplace, brand, retail chain

  19. Ecommerce Store Data | APAC E-commerce Sector | Verified Business Profiles...

    • datarade.ai
    Updated Jan 1, 2018
    + more versions
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    Success.ai (2018). Ecommerce Store Data | APAC E-commerce Sector | Verified Business Profiles with Key Insights | Best Price Guarantee [Dataset]. https://datarade.ai/data-products/ecommerce-store-data-apac-e-commerce-sector-verified-busi-success-ai
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    .bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset updated
    Jan 1, 2018
    Dataset provided by
    Area covered
    Mexico, Malta, Lao People's Democratic Republic, Northern Mariana Islands, Andorra, Canada, Austria, Korea (Democratic People's Republic of), Italy, Fiji
    Description

    Success.ai’s Ecommerce Store Data for the APAC E-commerce Sector provides a reliable and accurate dataset tailored for businesses aiming to connect with e-commerce professionals and organizations across the Asia-Pacific region. Covering roles and businesses involved in online retail, marketplace management, logistics, and digital commerce, this dataset includes verified business profiles, decision-maker contact details, and actionable insights.

    With access to continuously updated, AI-validated data and over 700 million global profiles, Success.ai ensures your outreach, market analysis, and partnership strategies are effective and data-driven. Backed by our Best Price Guarantee, this solution helps you excel in one of the world’s fastest-growing e-commerce markets.

    Why Choose Success.ai’s Ecommerce Store Data?

    1. Verified Profiles for Precision Engagement

      • Access verified profiles, business locations, employee counts, and decision-maker details for e-commerce businesses across APAC.
      • AI-driven validation ensures 99% accuracy, improving engagement rates and reducing outreach inefficiencies.
    2. Comprehensive Coverage of the APAC E-commerce Sector

      • Includes businesses from major e-commerce hubs such as China, India, Japan, South Korea, Australia, and Southeast Asia.
      • Gain insights into regional e-commerce trends, digital transformation efforts, and logistics innovations.
    3. Continuously Updated Datasets

      • Real-time updates ensure that business profiles, employee roles, and operational insights remain accurate and relevant.
      • Stay aligned with dynamic market conditions and emerging opportunities in the APAC region.
    4. Ethical and Compliant

      • Fully adheres to GDPR, CCPA, and other global data privacy regulations, ensuring responsible and lawful data usage.

    Data Highlights:

    • 700M+ Verified Global Profiles: Access business profiles for e-commerce professionals and organizations across APAC.
    • Firmographic Insights: Gain detailed information, including business locations, employee counts, and operational details.
    • Decision-maker Profiles: Connect with key e-commerce leaders, managers, and strategists driving online retail innovation.
    • Industry Trends: Understand emerging e-commerce trends, consumer behavior, and market dynamics in the APAC region.

    Key Features of the Dataset:

    1. Comprehensive E-commerce Business Profiles

      • Identify and connect with businesses specializing in online retail, marketplace management, and digital commerce logistics.
      • Target decision-makers involved in supply chain optimization, digital marketing, and platform development.
    2. Advanced Filters for Precision Campaigns

      • Filter businesses and professionals by industry focus (fashion, electronics, grocery), geographic location, or employee size.
      • Tailor campaigns to address specific goals, such as promoting technology adoption, enhancing customer engagement, or expanding supply chains.
    3. Regional and Sector-specific Insights

      • Leverage data on APAC’s fast-growing e-commerce markets, consumer purchasing trends, and regional challenges.
      • Refine your marketing strategies and outreach efforts to align with market priorities.
    4. AI-Driven Enrichment

      • Profiles enriched with actionable data allow for personalized messaging, highlight unique value propositions, and improve engagement outcomes.

    Strategic Use Cases:

    1. Marketing Campaigns and Outreach

      • Promote e-commerce solutions, logistics services, or digital commerce tools to businesses and professionals in the APAC region.
      • Use verified contact data for multi-channel outreach, including email, phone, and social media campaigns.
    2. Partnership Development and Vendor Collaboration

      • Build relationships with e-commerce marketplaces, logistics providers, and payment solution companies seeking strategic partnerships.
      • Foster collaborations that drive operational efficiency, enhance customer experiences, or expand market reach.
    3. Market Research and Competitive Analysis

      • Analyze regional e-commerce trends, consumer preferences, and logistics challenges to refine product offerings and business strategies.
      • Benchmark against competitors to identify growth opportunities and high-demand solutions.
    4. Recruitment and Talent Acquisition

      • Target HR professionals and hiring managers in the e-commerce industry recruiting for roles in operations, logistics, and digital marketing.
      • Provide workforce optimization platforms or training solutions tailored to the digital commerce sector.

    Why Choose Success.ai?

    1. Best Price Guarantee

      • Access premium-quality e-commerce store data at competitive prices, ensuring strong ROI for your marketing, sales, and strategic initiatives.
    2. Seamless Integration

      • Integrate verified e-commerce data into CRM systems, analytics platforms, or market...
  20. Stores Distributed by Monthly Views

    • aftership.com
    Updated Jan 16, 2024
    + more versions
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    AfterShip (2024). Stores Distributed by Monthly Views [Dataset]. https://www.aftership.com/ecommerce/statistics/regions
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    Dataset updated
    Jan 16, 2024
    Dataset authored and provided by
    AfterShiphttps://www.aftership.com/
    License

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

    Description

    This chart provides a detailed overview of the number of online retailers by Monthly Views. Most stores' Monthly Views are Less than 100, there are 2.91M stores, which is 42.10% of total. In second place, 2.06M stores' Monthly Views are 100 to 1K, which is 29.84% of total. Meanwhile, 1.29M stores' Monthly Views are 1K to 10K, which is 18.59% of total. This breakdown reveals insights into stores distribution, providing a comprehensive picture of the performance and efficient of online retailer.

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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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Global retail e-commerce sales 2022-2028

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

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

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