For 2024's Black Friday and Cyber Monday sales event, also known as the 'Cyber Week', approximately 77 percent of shoppers in the United States that planned to visit online retailers during Cyber Week specifically intended to buy clothing and accessories, making it the most popular product category. Just over 70 percent of respondents also planned to buy electronics.

Introduction

Online Shopping Statistics: Online shopping has revolutionized the retail industry, providing consumers with unparalleled convenience, a wide range of products, and easy access to services. Factors such as greater internet accessibility, the rise of mobile commerce, and shifting consumer preferences have contributed to the substantial growth of the e-commerce market.

Online shopping statistics offer key insights into market trends, consumer habits, demographic shifts, popular product categories, and the technologies driving the future of retail. Understanding these insights is essential for both businesses and consumers to successfully navigate the competitive online marketplace and keep up with emerging trends in digital shopping.

In 2024, convenience was the leading reason to spend more money online during Cyber Week than in the previous year. Prices being lower online was the second most common reason for U.S. Cyber Week shoppers.

A league table of the 120 cryptocurrencies with the highest market cap reveals how diverse each crypto is and potentially how much risk is involved when investing in one. Bitcoin (BTC), for instance, had a so-called "high cap" - a market cap worth more than 10 billion U.S. dollars - indicating this crypto project has a certain track record or, at the very least, is considered a major player in the cryptocurrency space. This is different in Decentralize Finance (DeFi), where Bitcoin is only a relatively new player. A concentrated market The number of existing cryptocurrencies is several thousands, even if most have a limited significance. Indeed, Bitcoin and Ethereum account for nearly 75 percent of the entire crypto market capitalization. As crypto is relatively easy to create, the range of projects varies significantly - from improving payments to solving real-world issues, but also meme coins and more speculative investments. Crypto is not considered a payment method While often talked about as an investment vehicle, cryptocurrencies have not yet established a clear use case in day-to-day life. Central bankers found that usefulness of crypto in domestic payments or remittances to be negligible. A forecast for the world's main online payment methods took a similar stance: It predicts that cryptocurrency would only take up 0.2 percent of total transaction value by 2027.

The number of users in the e-commerce market in the United States was modeled to stand at ************** users in 2024. Following a continuous upward trend, the number of users has risen by ************* users since 2017. Between 2024 and 2029, the number of users will rise by ************* users, continuing its consistent upward trajectory.Further information about the methodology, more market segments, and metrics can be found on the dedicated Market Insights page on eCommerce.

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.

This statistic presents popular online shopping categories in the United States, sorted by gender. During a November 2017 survey, it was found that 71 percent of female respondents had purchased clothing online in the past 3 months. According to Loqate, a GBG solution, 49 percent of male respondents had bought clothing via internet. Fashion and apparel e-retail sales were also especially popular with Millennial online shoppers.

This dataset provides a comprehensive collection of consumer behavior data that can be used for various market research and statistical analyses. It includes information on purchasing patterns, demographics, product preferences, customer satisfaction, and more, making it ideal for market segmentation, predictive modeling, and understanding customer decision-making processes.

The dataset is designed to help researchers, data scientists, and marketers gain insights into consumer purchasing behavior across a wide range of categories. By analyzing this dataset, users can identify key trends, segment customers, and make data-driven decisions to improve product offerings, marketing strategies, and customer engagement.

Key Features: Customer Demographics: Understand age, income, gender, and education level for better segmentation and targeted marketing. Purchase Behavior: Includes purchase amount, frequency, category, and channel preferences to assess spending patterns. Customer Loyalty: Features like brand loyalty, engagement with ads, and loyalty program membership provide insights into long-term customer retention. Product Feedback: Customer ratings and satisfaction levels allow for analysis of product quality and customer sentiment. Decision-Making: Time spent on product research, time to decision, and purchase intent reflect how customers make purchasing decisions. Influences on Purchase: Factors such as social media influence, discount sensitivity, and return rates are included to analyze how external factors affect purchasing behavior.

Columns Overview: Customer_ID: Unique identifier for each customer. Age: Customer's age (integer). Gender: Customer's gender (categorical: Male, Female, Non-binary, Other). Income_Level: Customer's income level (categorical: Low, Middle, High). Marital_Status: Customer's marital status (categorical: Single, Married, Divorced, Widowed). Education_Level: Highest level of education completed (categorical: High School, Bachelor's, Master's, Doctorate). Occupation: Customer's occupation (categorical: Various job titles). Location: Customer's location (city, region, or country). Purchase_Category: Category of purchased products (e.g., Electronics, Clothing, Groceries). Purchase_Amount: Amount spent during the purchase (decimal). Frequency_of_Purchase: Number of purchases made per month (integer). Purchase_Channel: The purchase method (categorical: Online, In-Store, Mixed). Brand_Loyalty: Loyalty to brands (1-5 scale). Product_Rating: Rating given by the customer to a purchased product (1-5 scale). Time_Spent_on_Product_Research: Time spent researching a product (integer, hours or minutes). Social_Media_Influence: Influence of social media on purchasing decision (categorical: High, Medium, Low, None). Discount_Sensitivity: Sensitivity to discounts (categorical: Very Sensitive, Somewhat Sensitive, Not Sensitive). Return_Rate: Percentage of products returned (decimal). Customer_Satisfaction: Overall satisfaction with the purchase (1-10 scale). Engagement_with_Ads: Engagement level with advertisements (categorical: High, Medium, Low, None). Device_Used_for_Shopping: Device used for shopping (categorical: Smartphone, Desktop, Tablet). Payment_Method: Method of payment used for the purchase (categorical: Credit Card, Debit Card, PayPal, Cash, Other). Time_of_Purchase: Timestamp of when the purchase was made (date/time). Discount_Used: Whether the customer used a discount (Boolean: True/False). Customer_Loyalty_Program_Member: Whether the customer is part of a loyalty program (Boolean: True/False). Purchase_Intent: The intent behind the purchase (categorical: Impulsive, Planned, Need-based, Wants-based). Shipping_Preference: Shipping preference (categorical: Standard, Express, No Preference). Payment_Frequency: Frequency of payment (categorical: One-time, Subscription, Installments). Time_to_Decision: Time taken from consideration to actual purchase (in days).

Use Cases: Market Segmentation: Segment customers based on demographics, preferences, and behavior. Predictive Analytics: Use data to predict customer spending habits, loyalty, and product preferences. Customer Profiling: Build detailed profiles of different consumer segments based on purchase behavior, social media influence, and decision-making patterns. Retail and E-commerce Insights: Analyze purchase channels, payment methods, and shipping preferences to optimize marketing and sales strategies.

Target Audience: Data scientists and analysts looking for consumer behavior data. Marketers interested in improving customer segmentation and targeting. Researchers are exploring factors influencing consumer decisions and preferences. Companies aiming to improve customer experience and increase sales through data-driven decisions.

This dataset is available in CSV format for easy integration into data analysis tools and platforms such as Python, R, and Excel.

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

As of the first quarter of 2023, the main categories that Gen Z shoppers would mostly shop for online if they could choose freely were entertainment and fashion. On the other hand, Gen Z consumers would mostly shop for in-person groceries, pharmaceuticals, and home and garden.

In 2020, a total of over ** percent of consumers across the globe shopped online: reaching nearly ** percent each, the leading regions that year were South America and Asia. North America had the lowest share with just over ***** in **** consumers buying items on the internet. The online store that was used most frequently by shoppers worldwide was Amazon.com.

Favorite online stores in the U.S. As of November 2020, an estimated ** percent of U.S. consumers stated that their online shop of choice was Amazon, making it by far the favorite e-commerce shop among online shoppers. With less than ** percent, Walmart’s web shop ranked second. Both male and female consumers in the country had a clear preference for Amazon, however, certain online stores were more popular among specific genders. For instance, more men liked visiting eBay, while a higher percentage of women had a preference for Target.

Why do consumers like Amazon? There were various reasons why U.S. shoppers used Amazon to buy products in 2020, the leading reason being the fast and free shipping services provided. Other key factors consumers mentioned, included Amazon’s broad selection, the easy return process, and the platform having some of the lowest prices.

As of early 2023, approximately ** percent of consumers in the United States said they would prefer to shop mostly online rather than in-store, making it the country with highest online shopping preference. In contrast, more shoppers preferred visiting physical stores in countries such as Austria, Finland, and New Zealand.

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.

In 2024, over ** percent of households with two or more people in Japan purchased goods or services online, remaining at a similar level as the previous year. The number of households using e-commerce services increased steadily in recent years, with fashion and electronics representing a recurring category purchased online. B2C online retail Business-to-consumer (B2C) online retail is the main consumer-oriented e-commerce market, with marketplaces, direct-to-consumer (D2C) stores, and digital general merchandisers being common websites accessed in Japan. In particular, marketplaces, taking on the form of a virtual shopping mall, are considered popular one-stop solutions for consumers’ needs. Consequently, Amazon, Rakuten Ichiba, and Yahoo! Shopping are the most successful e-retailers in Japan, gathering millions of visitor numbers regularly. Apart from the business-to-many (B2M) platforms, the companies also offer consumer-to-consumer (C2C) services. Japanese C2C platforms C2C e-commerce in Japan is made up of the reuse market encompassing online auctions and flea markets, and the smaller sharing economy segment. The auction business is dominated by Yahoo’s C2C platform Yahoo! Auctions, whereas the successful mobile application operated by Mercari has been shaking up flea market platforms in the country. The main user base of second-hand platforms are adults between the age of 20 to 49, as it is considered a popular mean to save money or shop sustainable.

Inflation was the leading issue plaguing the online shopping experience of global consumers in 2023. Nearly sixty percent of consumers surveyed worldwide in February that year reported rising prices for household goods was the issue having the greatest impact on them while shopping online. In addition, nearly a quarter reported being unable to purchase a product due to it being out of stock.

E-commerce in times of stagflation

As the global economy still reeled from the macroeconomic shock of the COVID-19 pandemic, the Russia-Ukraine war dealt a further blow to worldwide trade. Along with record food inflation, an unprecedented wave of layoffs in tech companies brought the pandemic-induced e-commerce boom to a halt. While online retail sales growth reached a peak of 25.7 percent in 2020, this figure was forecast to slow to 9.7 percent in 2022.

Impact of inflation on consumer behavior

As of January 2023, the European Union hit a double-digit inflation rate and consumers have had to adjust their purchasing behavior accordingly. Discretionary sectors such as clothing and consumer electronics were the most affected, with almost 50 percent of global consumers reporting they have either stopped or reduced their purchases of clothing, shoes, and accessories in response to rising prices.

In 2025, marketplaces were the primary source of inspiration for online shopping globally. According to a survey, ***percent of online shoppers said they sought inspiration through searches on this channel. Supermarkets and grocers ranked second, with around ** percent of respondents using it for this purpose.

The top in every category Marketplaces were the most popular places to get ideas for general online shopping, and this also applies to different types of shopping. When looking for beauty products online, around ** percent of consumers used marketplaces for inspiration, followed by brand websites and social media channels. Similarly, around ** percent of consumers stated that they use marketplaces to find inspiration for luxury products. When it came to finding inspiration for purchasing health and pharmaceutical products online, around a fourth of consumers favored online marketplaces.

Under the social media influence Social platforms have a greater influence on consumers than ever before when it comes to purchasing specific items. In 2023, the share of shoppers who purchased an item after seeing it on social media varied by country, with consumers in the United States being the most affected. Social media influenced over half of U.S. shoppers to open their wallets. In comparison, around ** percent of shoppers in Czechia had purchased an item after seeing it on a social platform.

In China, ** percent of Generation Z bought shoes online, according to a 2024 survey. This product category was the most purchased online in all the countries analyzed.

In 2024, around ** percent of 25- to 45-year-olds in Germany had ordered and purchased products online in the past three months. They were also the largest age group of online consumers. 65- to 75-year-olds were the group that shopped online the least. Where are people shopping online? Some of the most visited fashion websites in Germany included zalando.de, hm.com, and vinted.de. Zalando is especially popular because it sells items from multiple different brands, allowing the consumer to find all different types of clothes, shoes, accessories, and more in one place. Another advantage of shopping online is that consumers are not just limited to shopping in the country in which they live. Products can be ordered from almost anywhere in the world (if, of course, consumers are willing to pay a little extra). If a better deal is available elsewhere or a product is not available anywhere in the home country, then this can be a good reason to make a purchase on a foreign website. Challenges of online shopping Online shopping, however, is not without its challenges. Retailers themselves continued to be worried about challenges facing e-commerce. These included customer reluctance to buy due to higher prices, as well as competitive pressure from other businesses and supply bottlenecks. Most customers preferred to return products they did not want to keep via an online self-service, which means declaring a return online and then dropping off the package, e.g. at the post, a return point located in another establishment or a package pick-up station. While the return option is an integral part of online shopping, it brings with it a multitude of issues. These include putting a significant strain on the environment, transportation and logistics, as well as staff involved.

Online shopping is an increasingly popular and frequent way of buying goods of all kinds in Czechia. Since 2020, more than half of Czechs have bought products online. In 2024, a share of **** percent of internet users made online purchases in Czechia. What do Czechs buy? Czechs shop online for a wide range of products. Clothes and shoes, movies, or music are among the most purchased types of goods. However, many Czechs also buy everyday and household goods online. The popularity of online shopping is also evidenced by Czechia being above the European average of shoppers ordering or purchasing goods or services online in Central and Eastern Europe. How do Czechs shop online? Czechs prefer products from domestic sellers to foreign ones, and if they buy products from foreign sellers, it is from European rather than non-European ones. When it comes to paying for goods ordered online and the method of delivery, card payment, and delivery through a private company called Zásilkovna dominate.

Mobile phones dominate global digital commerce website visits and contribute to the largest share of online orders. As of the second quarter of 2025, smartphones constituted around ** percent of retail site traffic globally, responsible for generating ** percent of online shopping orders. Marketplace momentum Retail e-commerce has significantly increased globally over the past few years. Currently, the leading countries in retail e-commerce growth, such as the Philippines, have seen an increase of up to ** percent. In 2024, the majority of online purchases worldwide were made on online marketplaces, incurring around a ** percent share of consumer purchases. The top four retail websites for consumers to visit globally were all marketplaces, with the leading website being Amazon.com. Converting clicks When shopping online, website visits often do not end in purchases. This can be due to having second thoughts when online shopping, or simply due to consumers using the platforms to search for products. In 2025, the conversion rate of online shoppers globally was under * percent, with beauty & skincare incurring the highest conversion rate from online purchases. Across the globe, more ** percent of all retail sales were conducted online. This figure is forecast to increase to ***percent by 2030.