A comprehensive dataset of ecommerce statistics for 2026, including global market size, US ecommerce data, mobile commerce trends, social commerce growth, payment methods, cart abandonment rates, AI adoption, and online shopping behavior insights.

Global retail ecommerce sales peaked during the pandemic despite huge issues with the supply chain. So what do people buy? Here are the ecommerce statistics on the biggest industries right now.

I'll show you how the pandemic has changed the way people shop and give you some accurate ecommerce statistics to prove it.

Graph and download economic data for E-Commerce Retail Sales as a Percent of Total Sales (ECOMPCTSA) from Q4 1999 to Q3 2025 about e-commerce, retail trade, sales, retail, percent, and USA.

Retail eCommerce sales surpassing a staggering $5.7 trillion globally in last year. This upward trajectory shows no signs of plateauing. As we unpack the latest statistics, from the dominance of platforms like WooCommerce and Shopify to the regional powerhouses of the United States and beyond, a picture emerges of a sector in constant evolution. This article dives into the heart of these statistics, offering a panoramic view of the eCommerce landscape today. We explore the dynamics of platform preference, regional market trends, and category-specific insights, providing a comprehensive snapshot of an industry that continues to reshape global retail.

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.

When it comes to ecommerce statistics by country, most people would assume that the United States would be the biggest spender. But that’s not actually the case. While the US online market is more established, other countries are catching up quickly. These are the countries that have the biggest adoption of ecommerce shopping

Use of information and communication technology (ICT) and e-commerce activity by UK businesses. Annual data on e-commerce sales and how businesses are using the internet.

We monitor millions of online stores across 200+ countries, ensuring that this report provides accurate and up-to-date information. This report diverse eCommerce ecosystems in various countries/regions, including market penetration, regional preferences, consumer trends, and technological investments. Stay up-to-date with the latest data and gain a comprehensive understanding of the eCommerce market dynamics on a country/region level, enabling informed business decisions and strategic planning.

The pandemic pushed online shopping in a new direction. Purely brick-and-mortar businesses were forced to move their businesses online. The COVID-19 related boost in online shopping resulted in an additional $218 billion in sales in the US alone.

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

In 2024, global e-commerce sales grew by *** percent compared to the previous year. In that period, e-commerce accounted for approximately ** percent of all retail sales worldwide. Asian countries lead the way According to an estimate, China and Indonesia ranked **************** respectively on the list of countries with the greatest share of retail sales projected to take place online in 2023. Following the same trend, estimates also revealed that the three fastest-growing retail e-commerce countries in the world are all in Asia. Amazon on top When looking at the leading e-commerce companies worldwide, as opposed to the leading e-commerce countries, ****** is the clear market leader with a market cap of over************n U.S. dollars as of March 2025. Not only that, but the *************************** company is also by far the***** visited online marketplace in the world, with approximately *** billion monthly visits.

This synthetic dataset represents E-commerce sales transactions containing 34,500 records across 17 features. It has been carefully designed to simulate realistic online shopping data and can be used for multiple data science and machine learning tasks, including:

🔹 Sales Analysis – revenue trends, profit margins, regional performance, category-wise sales 🔹 Customer Segmentation – analyzing customer demographics, purchase behavior, loyalty scores 🔹 Churn Prediction – identifying customers likely to stop purchasing 🔹 Product Performance – tracking returns, pricing impact, and demand across categories

📊 Columns Overview

• order_id → Unique identifier for each order
• customer_id → Unique identifier for each customer
• product_id → Unique identifier for each product
• category → Product category (Electronics, Fashion, Home, Beauty, Sports, Toys, Grocery)
• price → Unit price of the product
• discount → Discount applied (%)
• quantity → Number of items purchased
• payment_method → Payment type (Credit Card, Debit Card, UPI, PayPal, COD, Wallet)
• order_date → Date of purchase
• delivery_time_days → Days taken to deliver the order
• region → Geographic region of the customer
• returned → Whether the product was returned (Yes/No)
• total_amount → Final bill amount after discounts
• shipping_cost → Delivery charges
• profit_margin → Profit earned from the order
• customer_age → Age of the customer (18–70)
• customer_gender → Gender of the customer (Male/Female/Other)

✅ Use Cases

• Exploratory Data Analysis (EDA)
• Time-series sales forecasting
• Customer segmentation (RFM analysis, clustering)
• Churn prediction (classification)
• Return prediction
• Price and discount analysis

👉 This dataset is ideal for machine learning practice, analytics projects, and Kaggle competitions related to sales, marketing, and customer behavior.

Discover how E‑commerce Platform Statistics reveal market insights and drive smarter strategy decisions for growth and consumer connection.

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).

In the third quarter of 2025, the share of e-commerce in total U.S. retail sales stood at **** percent, up from the previous quarter. From July to September 2025, retail e-commerce sales in the United States hit over *** billion U.S. dollars. 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.

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

E-Commerce Dataset: Products, Customers, and Trends

Description

This dataset provides a comprehensive view of an e-commerce platform, featuring detailed information about products, customers, pricing, and sales trends. It is designed for data analysis, machine learning, and insights into online retail operations. The dataset is structured to help researchers and analysts explore various aspects of e-commerce, such as product popularity, customer preferences, and shipping performance.

Columns and Their Descriptions

• Product ID: Unique identifier for each product.
• Product Name: The name or title of the product listed in the catalog.
• Category: The category or type of the product (e.g., Electronics, Clothing, Home Decor).
• Price: The price of the product in USD.
• Discount: The discount applied to the product as a percentage of the original price.
• Tax Rate: The applicable tax rate for the product as a percentage.
• Stock Level: The number of units currently available in inventory.
• Supplier ID: A unique identifier for the supplier of the product.
• Customer Age Group: The age group of customers who frequently purchase this product (e.g., Teens, Adults, Seniors).
• Customer Location: The geographical location of customers (e.g., Country, State, or City).
• Customer Gender: The gender(s) of customers most likely to purchase this product (e.g., Male, Female, Both).
• Shipping Cost: The cost of shipping the product in USD.
• Shipping Method: The method of shipping used (e.g., Standard, Express, Overnight).
• Return Rate: The percentage of orders for this product that are returned by customers.
• Seasonality: The season(s) during which the product is most popular (e.g., Winter, Summer, All-Year).
• Popularity Index: A score indicating the product's popularity on a scale of 0 to 100.

Use Cases

This dataset is ideal for: - Exploratory Data Analysis (EDA): Analyze sales trends, product popularity, and customer preferences. - Visualization: Create insightful charts to visualize product performance, regional sales, and shipping trends. - Customer Insights: Understand customer segmentation based on demographics, preferences, and location. - Machine Learning Applications: - Regression: Predict product popularity based on price, discount, and stock level. - Clustering: Identify similar product categories for targeted marketing. - Classification: Predict whether a product will be returned based on its features.

Sample Data

In 2024, the online channels' share of total retail sales reached 16.1 percent in the United States. This represented an increase compared to 2023, when it was 15.4 percent.

Below is a detailed statistical analysis presenting accurate sales figures for every product category available in online stores, accompanied by their respective percentages. Arts & Entertainment leads the eCommerce market, showcasing exceptional performance with the highest monthly sales and an impressive overall market share of 13.86%. The popularity of Home & Garden and Apparel cannot be overlooked either, as they capture significant portions of the market with 11.96% and 9.23% respectively. Besides, Consumer Electronics, Toys & Hobbies and Gifts & Special Events have emerged as notably favored products among online shoppers as well.