In 2025, the global in-store or brick-and-mortar retail channel generated an estimated **** trillion U.S. dollars in sales. Total retail sales (online and offline retail) worldwide amounted to around **** trillion U.S. dollars that year. By 2029, it is estimated that the value of e-commerce retail sales will reach **** trillion U.S. dollars on a global scale.

Global retail sales were projected to amount to around **** trillion U.S. dollars by 2026, up from approximately **** trillion U.S. dollars in 2021. The retail industry encompasses the journey of a good or service. This typically starts with the manufacturing of a product and ends with said product being purchased by a consumer from a retailer. Retail establishments come in many forms such as grocery stores, restaurants, and bookstores. American retailers worldwide As a result of globalization and various trade agreements between markets and countries, many retailers are capable of doing business on a global scale. Many of the world’s leading retailers are American companies. Walmart and Amazon are examples of such American retailers. The success of U.S. retailers can also be seen through their performance in online retail. Retail in the U.S. The domestic retail market in the United States is a lucrative market, in which many companies compete. Walmart, a retail chain offering low prices and a wide selection of products, is the leading retailer in the United States. Amazon, The Kroger Co., Costco, and Target are a selection of other leading U.S. retailers.

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.

View monthly updates and historical trends for US Retail Sales. from United States. Source: Census Bureau. Track economic data with YCharts analytics.

The Global Retail Sales Data provided here is a self-generated synthetic dataset created using Random Sampling techniques provided by the Numpy Package. The dataset emulates information regarding merchandise sales through a retail website set up by a popular fictional influencer based in the US between the '23-'24 period. The influencer would sell clothing, ornaments and other products at variable rates through the retail website to all of their followers across the world. Imagine that the influencer executes high levels of promotions for the materials they sell, prompting more ratings and reviews from their followers, pushing more user engagement.

This dataset is placed to help with practicing Sentiment Analysis or/and Time Series Analysis of sales, etc. as they are very important topics for Data Analyst prospects. The column description is given as follows:

Order ID: Serves as an identifier for each order made.

Order Date: The date when the order was made.

Product ID: Serves as an identifier for the product that was ordered.

Product Category: Category of Product sold(Clothing, Ornaments, Other).

Buyer Gender: Genders of people that have ordered from the website (Male, Female).

Buyer Age: Ages of the buyers.

Order Location: The city where the order was made from.

International Shipping: Whether the product was shipped internationally or not. (Yes/No)

Sales Price: Price tag for the product.

Shipping Charges: Extra charges for international shipments.

Sales per Unit: Sales cost while including international shipping charges.

Quantity: Quantity of the product bought.

Total Sales: Total sales made through the purchase.

Rating: User rating given for the order.

Review: User review given for the order.

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.

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.

Retail Sales in the United States increased 4.30 percent in September of 2025 over the same month in the previous year. This dataset provides - United States Retail Sales YoY - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Total retail sales in the United States were projected to amount to *** trillion U.S. dollars in 2028, up from around * trillion U.S. dollars in 2022. These figures included e-commerce and retail sales. Retail establishments come in many forms such as grocery stores, restaurants, and bookstores. There are around ************ retail establishments in the United States. Leading companies in U.S. retail The domestic retail market in the United States is very competitive, with many companies recording substantial retail sales. Walmart, a retail chain offering low prices and a wide selection of products, is the leading retailer in the United States. Amazon, The Kroger Co., Costco, and Target are a selection of other leading U.S. retailers. American retailers worldwide Many of the world’s leading retailers are American companies. Walmart and Amazon are examples of American retailers doing business on a global scale. The success of U.S. retailers can also be seen through their performance in online retail. Amazon is a prime example of this, with the company’s sales revenue flourishing over the previous years.

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

Retail Sales: via Internet: % of Retail Trade Turnover: CF: City of Moscow data was reported at 18.570 % in 2024. This records an increase from the previous number of 14.020 % for 2023. Retail Sales: via Internet: % of Retail Trade Turnover: CF: City of Moscow data is updated yearly, averaging 4.300 % from Dec 2014 (Median) to 2024, with 11 observations. The data reached an all-time high of 18.570 % in 2024 and a record low of 1.100 % in 2014. Retail Sales: via Internet: % of Retail Trade Turnover: CF: City of Moscow data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Russia Premium Database’s Wholesale, Retail and Catering Sector – Table RU.RJB032: Retail Sales: via Internet as % of Total Retail Trade Turnover.

Retail Sales in the United States increased 0.20 percent in September of 2025 over the previous month. This dataset provides - U.S. December Retail Sales Increased More Than Forecast - actual values, historical data, forecast, chart, statistics, economic calendar and news.

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

Total retail sales in Canada represents the aggregate value of goods sold through retail channels, measured in billions of Canadian dollars. This includes sales across all retail subsectors such as food and beverage stores, motor vehicle and parts dealers, clothing and accessories, furniture and home furnishings, electronics, building materials, gasoline stations, health and personal care, and general merchandise stores. Data encompasses both brick-and-mortar and e-commerce transactions. Data is sourced from Statistics Canada's Monthly Retail Trade Survey and is presented in chained 2017 dollars.

United States Retail Sales: E Commerce to Total Sales data was reported at 9.100 % in Sep 2018. This records an increase from the previous number of 9.000 % for Jun 2018. United States Retail Sales: E Commerce to Total Sales data is updated quarterly, averaging 3.950 % from Dec 1999 (Median) to Sep 2018, with 76 observations. The data reached an all-time high of 10.400 % in Dec 2017 and a record low of 0.700 % in Dec 1999. United States Retail Sales: E Commerce to Total Sales 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.

Retail Sales: via Internet: % of Retail Trade Turnover: CF: Bryansk Region data was reported at 5.080 % in 2024. This records an increase from the previous number of 4.820 % for 2023. Retail Sales: via Internet: % of Retail Trade Turnover: CF: Bryansk Region data is updated yearly, averaging 0.500 % from Dec 2014 (Median) to 2024, with 11 observations. The data reached an all-time high of 5.080 % in 2024 and a record low of 0.100 % in 2014. Retail Sales: via Internet: % of Retail Trade Turnover: CF: Bryansk Region data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Russia Premium Database’s Wholesale, Retail and Catering Sector – Table RU.RJB032: Retail Sales: via Internet as % of Total Retail Trade Turnover.

Retail Sales: via Internet: % of Retail Trade Turnover: Central Federal District (CF) data was reported at 12.940 % in 2024. This records an increase from the previous number of 10.220 % for 2023. Retail Sales: via Internet: % of Retail Trade Turnover: Central Federal District (CF) data is updated yearly, averaging 3.200 % from Dec 2014 (Median) to 2024, with 11 observations. The data reached an all-time high of 12.940 % in 2024 and a record low of 0.800 % in 2014. Retail Sales: via Internet: % of Retail Trade Turnover: Central Federal District (CF) data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Russia Premium Database’s Wholesale, Retail and Catering Sector – Table RU.RJB032: Retail Sales: via Internet as % of Total Retail Trade Turnover.

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

Retail Sales: via Internet: % of Retail Trade Turnover: NW: Arkhangelsk Region data was reported at 8.500 % in 2024. This records an increase from the previous number of 7.720 % for 2023. Retail Sales: via Internet: % of Retail Trade Turnover: NW: Arkhangelsk Region data is updated yearly, averaging 1.700 % from Dec 2014 (Median) to 2024, with 11 observations. The data reached an all-time high of 8.500 % in 2024 and a record low of 0.200 % in 2014. Retail Sales: via Internet: % of Retail Trade Turnover: NW: Arkhangelsk Region data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Russia Premium Database’s Wholesale, Retail and Catering Sector – Table RU.RJB032: Retail Sales: via Internet as % of Total Retail Trade Turnover.

Retail Sales: via Internet: % of Retail Trade Turnover: CF: Kostroma Region data was reported at 5.660 % in 2024. This records an increase from the previous number of 5.280 % for 2023. Retail Sales: via Internet: % of Retail Trade Turnover: CF: Kostroma Region data is updated yearly, averaging 1.000 % from Dec 2014 (Median) to 2024, with 11 observations. The data reached an all-time high of 5.660 % in 2024 and a record low of 0.100 % in 2014. Retail Sales: via Internet: % of Retail Trade Turnover: CF: Kostroma Region data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Russia Premium Database’s Wholesale, Retail and Catering Sector – Table RU.RJB032: Retail Sales: via Internet as % of Total Retail Trade Turnover.