Graph and download economic data for E-Commerce Retail Sales as a Percent of Total Sales (ECOMPCTSA) from Q4 1999 to Q1 2025 about e-commerce, retail trade, percent, sales, retail, and USA.

In 2024, global retail e-commerce sales reached an estimated six trillion U.S. dollars. Projections indicate a 31 percent growth in this figure over the coming years, with expectations to come close to eight trillion 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 800 billion 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 two trillion 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 20 percent.

From October to December 2024, U.S. retail e-commerce sales amounted to roughly 309 billion U.S. dollars, marking an increase compared to the previous quarter. Overall, retail e-commerce sales outdid the quarterly sales records registered in 2020. E-commerce in the post-pandemic era During the second quarter of 2020, as COVID-19 spread across the globe, the U.S.'s quarterly e-commerce revenue reached 200 billion for the first time in history. In 2021, online retail sales account for ten percent of total retail in the United States. Clothing and accessories, including footwear, is one of the largest B2C e-commerce merchandise categories. Retail e-commerce sales in the United States are estimated from samples used for the Monthly Retail Trade Survey and exclude online travel services, ticket sales agencies, and financial brokers. Latest trend? Quick commerce Shoppers expect fast delivery of their purchases, especially when it comes to grocery products. This segment of the e-commerce industry goes under quick commerce and is expected to generate increasing revenue in the next years. Major quick commerce companies like Instacart or Uber Eat operate in the United States, where the quick commerce market is forecast to hit nearly 40 billion U.S. dollars by 2027.

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).

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

This dataset contains sales data for 10,000 transactions across a variety of electronic products and accessories. It includes key information such as transaction ID, product details (name, category, price), quantity sold, customer demographics (age, gender), payment method, discount applied, transaction date, region, and membership status. The data is designed for analyzing sales trends, customer behavior, and can be used for tasks such as sales forecasting, customer segmentation, and marketing analysis.

United States - E-Commerce Retail Sales was 300226.00000 Mil. of $ in January of 2025, according to the United States Federal Reserve. Historically, United States - E-Commerce Retail Sales reached a record high of 308910.00000 in October of 2024 and a record low of 4476.00000 in October of 1999. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - E-Commerce Retail Sales - last updated from the United States Federal Reserve on June of 2025.

In 2024, e-commerce had a share of 18.9 percent of Nestlé's grouprevenue worldwide. This constitutes to an increase of 1.8 percent in comparison to the previous year.

Overview:

This dataset contains 1000 rows of synthetic online retail sales data, mimicking transactions from an e-commerce platform. It includes information about customer demographics, product details, purchase history, and (optional) reviews. This dataset is suitable for a variety of data analysis, data visualization and machine learning tasks, including but not limited to: customer segmentation, product recommendation, sales forecasting, market basket analysis, and exploring general e-commerce trends. The data was generated using the Python Faker library, ensuring realistic values and distributions, while maintaining no privacy concerns as it contains no real customer information.

Data Source:

This dataset is entirely synthetic. It was generated using the Python Faker library and does not represent any real individuals or transactions.

Data Content:

Potential Use Cases (Inspiration):

Customer Segmentation: Group customers based on demographics, purchasing behavior, and preferences.

Product Recommendation: Build a recommendation system to suggest products to customers based on their past purchases and browsing history.

Sales Forecasting: Predict future sales based on historical trends.

Market Basket Analysis: Identify products that are frequently purchased together.

Price Optimization: Analyze the relationship between price and demand.

Geographic Analysis: Explore sales patterns across different cities.

Time Series Analysis: Investigate sales trends over time.

Educational Purposes: Great for practicing data cleaning, EDA, feature engineering, and modeling.

The online revenue of skechers.com amounted to US$151.2m in 2024. Discover eCommerce insights, including sales development, shopping cart size, and many more.

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

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

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

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?

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China E-commerce: Sales Revenue: YoY: Year to Date: Business to Business data was reported at 25.400 % in Jun 2017. This records an increase from the previous number of 18.180 % for Dec 2016. China E-commerce: Sales Revenue: YoY: Year to Date: Business to Business data is updated quarterly, averaging 25.650 % from Dec 2010 (Median) to Jun 2017, with 14 observations. The data reached an all-time high of 36.000 % in Dec 2011 and a record low of -13.700 % in Dec 2015. China E-commerce: Sales Revenue: YoY: Year to Date: Business to Business data remains active status in CEIC and is reported by China e-business Research Center. The data is categorized under China Premium Database’s Information and Communication Sector – Table CN.ICG: E-commerce: Business Sales Revenue.

Note:- Only publicly available data can be worked upon

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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.

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

Retail Trade, e-commerce sales, Canada, by industries based on North American Industry Classification System (NAICS), monthly.

The online revenue of homedepot.com amounted to US$20,074.9m in 2024. Discover eCommerce insights, including sales development, shopping cart size, and many more.