100+ datasets found
  1. Consumer opinions on conversational AI for customer service 2024

    • statista.com
    • tokrwards.com
    • +2more
    Updated Jun 3, 2025
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    Statista Research Department (2025). Consumer opinions on conversational AI for customer service 2024 [Dataset]. https://www.statista.com/topics/871/online-shopping/
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    Dataset updated
    Jun 3, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Description

    One of the reasons behind AI-powered customer service is the preference for conversational AI over phone calls. In 2024, 82 percent of consumers stated they would use a chatbot instead of waiting for a customer representative to take their call. An outstanding 96 percent of surveyed shoppers believed that more companies should opt for chatbots over traditional customer support services.

  2. Foreign countries where U.S. shoppers last bought online 2024

    • statista.com
    • grusthub.com
    • +1more
    Updated Jul 9, 2025
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    Koen van Gelder (2025). Foreign countries where U.S. shoppers last bought online 2024 [Dataset]. https://www.statista.com/topics/2477/online-shopping-behavior/
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    Dataset updated
    Jul 9, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Koen van Gelder
    Area covered
    United States
    Description

    Most of the latest online purchases from abroad among U.S. shoppers were made in China, according to a 2024 survey. 45 percent of the e-commerce users surveyed in the United States had made their most recent purchase from there. The United Kingdom ranked second, with 10 percent. In turn, the U.S. was the main market where Canadian cross-border shoppers last bought online.

  3. m

    Online Shopping Statistics and Facts

    • market.biz
    Updated Oct 1, 2025
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    Market.biz (2025). Online Shopping Statistics and Facts [Dataset]. https://market.biz/online-shopping-statistics/
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    Dataset updated
    Oct 1, 2025
    Dataset provided by
    Market.biz
    License

    https://market.biz/privacy-policyhttps://market.biz/privacy-policy

    Time period covered
    2022 - 2032
    Area covered
    South America, ASIA, Australia, North America, Africa, Europe
    Description

    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.

  4. Perceived impact of AI technologies on retail in the U.S. 2024

    • statista.com
    • tokrwards.com
    • +1more
    Updated Jul 9, 2025
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    Statista Research Department (2025). Perceived impact of AI technologies on retail in the U.S. 2024 [Dataset]. https://www.statista.com/topics/2477/online-shopping-behavior/
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    Dataset updated
    Jul 9, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Area covered
    United States
    Description

    In March 2024, U.S. people were asked whether artificial intelligence (AI) has had a positive or negative effect on the retail sector. 22 percent of respondents believed AI had a somewhat positive impact, with nine percent of them having even a very positive opinion.

  5. F

    E-Commerce Retail Sales as a Percent of Total Sales

    • fred.stlouisfed.org
    json
    Updated Aug 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/ECOMPCTSA
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Aug 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 (ECOMPCTSA) from Q4 1999 to Q2 2025 about e-commerce, retail trade, percent, sales, retail, and USA.

  6. Online shoppers and type of purchase by age group, inactive

    • www150.statcan.gc.ca
    • open.canada.ca
    Updated Jun 22, 2021
    + more versions
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    Government of Canada, Statistics Canada (2021). Online shoppers and type of purchase by age group, inactive [Dataset]. http://doi.org/10.25318/2210008501-eng
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    Dataset updated
    Jun 22, 2021
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Percentage of individuals who shopped online and percentage of online shoppers by type of good and service purchased over the Internet during the past 12 months.

  7. Online Shopping in Australia - Market Research Report (2015-2030)

    • ibisworld.com
    Updated Oct 6, 2025
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    IBISWorld (2025). Online Shopping in Australia - Market Research Report (2015-2030) [Dataset]. https://www.ibisworld.com/australia/industry/online-shopping/1837/
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    Dataset updated
    Oct 6, 2025
    Dataset authored and provided by
    IBISWorld
    License

    https://www.ibisworld.com/about/termsofuse/https://www.ibisworld.com/about/termsofuse/

    Time period covered
    2015 - 2030
    Area covered
    Australia
    Description

    Online shopping has cemented its place in the retail market, buoyed by rising adoption and better technology. 2024 data shows 9.8 million households shopping online, up from 8.2 million in 2019, a clear sign of growing penetration. This performance has benefited from safer payments, easier returns and smoother mobile access, while new competitors like Shein and Temu push prices down and keep pressure on margins. Augmented reality, chat-enabled service and social shopping are blurring the lines between instore and online, letting shoppers try before they buy and discover products through feeds on Instagram, YouTube and TikTok. In this environment, faster broadband and the rollout of 5G coverage are expanding the audience, enabling more impulse buys and seamless checkouts. Over the past five years, the online market’s growth has wavered with the pandemic, then settled into a more price-aware rhythm. The 'search and compare' habit means shoppers cut back when discretionary income tightens and 62% switched brands in 2024 to save money. The share of weekly online shoppers rose from 27% in 2021 to 29% in 2025, with a similar increase in the number of consumers shopping every two to three weeks. (26% in 2021 to 30% in 2025). Profitability lagged early on due to fierce competition and high fixed costs, but retailers trimmed overheads, modernised fulfilment networks and used social content to sustain margins. The market also saw international entrants intensify competition, contributing to the demise of some domestic platforms. Industry revenue is anticipated to grow at an annualised 3.4% over the five years through 2025-26 and is expected to total $64.9 billion in the current year, when revenue will climb by an estimated 6.8%. Going forwards, online sales should keep climbing thanks to broader product ranges, better mobile experiences and pay-later options that streamline purchases. AR-enabled sizing and virtual try-ons will reduce friction in fashion and accessories, while loyalty schemes and free shipping will reward repeat customers. Profit is set to climb as pricing becomes more responsive and import costs ease from a stronger Australian dollar. With omnichannel strategies, showrooming and social commerce, the line between online and offline will stay blurred and hybrid stores will become mainstream rather than niche. Overall, industry revenue is forecast to climb at an annualised 5.9% over the five years through 2030-31 to total $86.6 billion.

  8. Clickstream Data for Online Shopping

    • kaggle.com
    Updated Apr 13, 2021
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    Bojan Tunguz (2021). Clickstream Data for Online Shopping [Dataset]. https://www.kaggle.com/tunguz/clickstream-data-for-online-shopping/code
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Apr 13, 2021
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Bojan Tunguz
    License

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

    Description

    Source:

    Mariusz Šapczyński, Cracow University of Economics, Poland, lapczynm '@' uek.krakow.pl Sylwester Białowąs, Poznan University of Economics and Business, Poland, sylwester.bialowas '@' ue.poznan.pl

    Data Set Information:

    The dataset contains information on clickstream from online store offering clothing for pregnant women. Data are from five months of 2008 and include, among others, product category, location of the photo on the page, country of origin of the IP address and product price in US dollars.

    Attribute Information:

    The dataset contains 14 variables described in a separate file (See 'Data set description')

    Relevant Papers:

    N/A

    Citation Request:

    If you use this dataset, please cite:

    Šapczyński M., Białowąs S. (2013) Discovering Patterns of Users' Behaviour in an E-shop - Comparison of Consumer Buying Behaviours in Poland and Other European Countries, “Studia Ekonomiczne†, nr 151, “La société de l'information : perspective européenne et globale : les usages et les risques d'Internet pour les citoyens et les consommateurs†, p. 144-153

    Data description ìe-shop clothing 2008î

    Variables:

    1. YEAR (2008)

    ========================================================

    2. MONTH -> from April (4) to August (8)

    ========================================================

    3. DAY -> day number of the month

    ========================================================

    4. ORDER -> sequence of clicks during one session

    ========================================================

    5. COUNTRY -> variable indicating the country of origin of the IP address with the

    following categories:

    1-Australia 2-Austria 3-Belgium 4-British Virgin Islands 5-Cayman Islands 6-Christmas Island 7-Croatia 8-Cyprus 9-Czech Republic 10-Denmark 11-Estonia 12-unidentified 13-Faroe Islands 14-Finland 15-France 16-Germany 17-Greece 18-Hungary 19-Iceland 20-India 21-Ireland 22-Italy 23-Latvia 24-Lithuania 25-Luxembourg 26-Mexico 27-Netherlands 28-Norway 29-Poland 30-Portugal 31-Romania 32-Russia 33-San Marino 34-Slovakia 35-Slovenia 36-Spain 37-Sweden 38-Switzerland 39-Ukraine 40-United Arab Emirates 41-United Kingdom 42-USA 43-biz (.biz) 44-com (.com) 45-int (.int) 46-net (.net) 47-org (*.org)

    ========================================================

    6. SESSION ID -> variable indicating session id (short record)

    ========================================================

    7. PAGE 1 (MAIN CATEGORY) -> concerns the main product category:

    1-trousers 2-skirts 3-blouses 4-sale

    ========================================================

    8. PAGE 2 (CLOTHING MODEL) -> contains information about the code for each product

    (217 products)

    ========================================================

    9. COLOUR -> colour of product

    1-beige 2-black 3-blue 4-brown 5-burgundy 6-gray 7-green 8-navy blue 9-of many colors 10-olive 11-pink 12-red 13-violet 14-white

    ========================================================

    10. LOCATION -> photo location on the page, the screen has been divided into six parts:

    1-top left 2-top in the middle 3-top right 4-bottom left 5-bottom in the middle 6-bottom right

    ========================================================

    11. MODEL PHOTOGRAPHY -> variable with two categories:

    1-en face 2-profile

    ========================================================

    12. PRICE -> price in US dollars

    ========================================================

    13. PRICE 2 -> variable informing whether the price of a particular product is higher than

    the average price for the entire product category

    1-yes 2-no

    ========================================================

    14. PAGE -> page number within the e-store website (from 1 to 5)

    ++++++++++++++++++++++++++++++++++++++++++++++++++++++++

  9. Global retail e-commerce sales 2022-2028

    • statista.com
    • abripper.com
    • +1more
    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.

  10. Total stores by Region

    • aftership.com
    Updated Jan 16, 2024
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    AfterShip (2024). Total stores by Region [Dataset]. https://www.aftership.com/ecommerce/statistics/regions
    Explore at:
    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

    The eCommerce industry develops at different stages in various regions. Among the platforms we monitor, United States stands out with the highest number of online stores, indicating the prosperity of its eCommerce economy. Additionally, both United Kingdom and Brazil have a strong presence of online shops, accounting for 6.10% and 4.87% of the global online store market.

  11. eCommerce Statistics by Country/Region in 2025

    • aftership.com
    pdf
    Updated Jan 16, 2024
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    AfterShip (2024). eCommerce Statistics by Country/Region in 2025 [Dataset]. https://www.aftership.com/ecommerce/statistics/regions
    Explore at:
    pdfAvailable download formats
    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

    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.

  12. Number of users of e-commerce in the United States 2017-2029

    • statista.com
    • tokrwards.com
    • +2more
    Updated Aug 15, 2025
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    Statista (2025). Number of users of e-commerce in the United States 2017-2029 [Dataset]. https://www.statista.com/statistics/273957/number-of-digital-buyers-in-the-united-states/
    Explore at:
    Dataset updated
    Aug 15, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    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.

  13. Stores Distributed by Monthly Visitors

    • aftership.com
    Updated Jan 16, 2024
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    AfterShip (2024). Stores Distributed by Monthly Visitors [Dataset]. https://www.aftership.com/ecommerce/statistics/regions
    Explore at:
    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 Visitors. Most stores' Monthly Visitors are Less than 100, there are 4.04M stores, which is 58.45% of total. In second place, 1.68M stores' Monthly Visitors are 100 to 1K, which is 24.23% of total. Meanwhile, 875.86K stores' Monthly Visitors are 1K to 10K, which is 12.66% of total. This breakdown reveals insights into stores distribution, providing a comprehensive picture of the performance and efficient of online retailer.

  14. Stores Distributed by Monthly Sales

    • aftership.com
    Updated Jan 16, 2024
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    AfterShip (2024). Stores Distributed by Monthly Sales [Dataset]. https://www.aftership.com/ecommerce/statistics/regions
    Explore at:
    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 Sales. Most stores' Monthly Sales are Less than $100.00, there are 4.99M stores, which is 97.74% of total. In second place, 75.84K stores' Monthly Sales are $10.00M to $100.00M, which is 1.49% of total. Meanwhile, 19.55K stores' Monthly Sales are $100.00K to $1.00M, which is 0.38% of total. This breakdown reveals insights into stores distribution, providing a comprehensive picture of the performance and efficient of online retailer.

  15. O

    Online Shopping Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Jul 23, 2025
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    Data Insights Market (2025). Online Shopping Report [Dataset]. https://www.datainsightsmarket.com/reports/online-shopping-1429683
    Explore at:
    pdf, doc, pptAvailable download formats
    Dataset updated
    Jul 23, 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 global online shopping market, valued at $4,295.55 million in 2025, is projected to experience robust growth, driven by the increasing adoption of e-commerce platforms, expanding internet and smartphone penetration, and the convenience offered by online shopping. Key players like Alibaba, Amazon, and Walmart dominate the market, leveraging their extensive logistics networks and diverse product offerings. The market's Compound Annual Growth Rate (CAGR) of 12.2% from 2019 to 2025 indicates a significant upward trajectory. This growth is fueled by several factors, including the rising popularity of mobile commerce, the increasing preference for personalized shopping experiences, and the integration of advanced technologies like artificial intelligence and big data analytics to enhance customer engagement and optimize logistics. While challenges such as cybersecurity concerns and the need for robust customer service remain, the overall market outlook remains positive. The forecast period of 2025-2033 anticipates continued expansion, driven by emerging markets' increasing digitalization and the growth of cross-border e-commerce. The market segmentation, while not explicitly provided, can be reasonably inferred to include categories like apparel, electronics, groceries, and healthcare products. Each segment is likely to exhibit unique growth patterns influenced by consumer preferences and technological advancements. Furthermore, strategic mergers and acquisitions, expansion into new geographic territories, and the development of innovative business models are expected to shape the competitive landscape in the coming years. The continued focus on enhancing customer experience through personalized recommendations, seamless payment options, and reliable delivery services will be crucial for success in this dynamic market.

  16. e-Commerce Technology Market by Application and Geography - Forecast and...

    • technavio.com
    pdf
    Updated Oct 19, 2021
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    Technavio (2021). e-Commerce Technology Market by Application and Geography - Forecast and Analysis 2021-2025 [Dataset]. https://www.technavio.com/report/e-commerce-technology-market-industry-analysis
    Explore at:
    pdfAvailable download formats
    Dataset updated
    Oct 19, 2021
    Dataset provided by
    TechNavio
    Authors
    Technavio
    License

    https://www.technavio.com/content/privacy-noticehttps://www.technavio.com/content/privacy-notice

    Time period covered
    2021 - 2025
    Description

    Snapshot img

    The e-commerce technology market share is expected to increase by USD 10.57 billion from 2020 to 2025, and the market’s growth momentum will accelerate at a CAGR of 19.07%.

    This e-commerce technology market research report provides valuable insights on the post-COVID-19 impact on the market, which will help companies evaluate their business approaches. Furthermore, this report extensively covers e-commerce technology market segmentation by application (B2C and B2B) and geography (North America, APAC, Europe, South America, and MEA). The e-commerce technology market report also offers information on several market vendors, including Adobe Inc., BigCommerce Holdings Inc., commercetools GmbH, HCL Technologies Ltd., Open Text Corp., Oracle Corp., Pitney Bowes Inc., Salesforce.com Inc., SAP SE, and Shopify Inc. among others.

    What will the E-Commerce Technology Market Size be During the Forecast Period?

    Download Report Sample to Unlock the e-Commerce Technology Market Size for the Forecast Period and Other Important Statistics

    E-Commerce Technology Market: Key Drivers, Trends, and Challenges

    The increasing e-commerce sales are notably driving the e-commerce technology market growth, although factors such as growing concerns over data privacy and security may impede the market growth. Our research analysts have studied the historical data and deduced the key market drivers and the COVID-19 pandemic's impact on the e-commerce technology industry. The holistic analysis of the drivers will help in deducing end goals and refining marketing strategies to gain a competitive edge.

    Key E-Commerce Technology Market Driver

    One of the key factors driving the e-commerce technology market is increasing e-commerce sales. The e-commerce industry is progressing quickly, owing to various factors, such as the growing tech-savvy population, increasing Internet penetration, and the rising use of smartphones. The demand for globally manufactured products is also fueling growth by generating cross-border e-commerce sales. Furthermore, the presence of various multiple payment options, such as credit and debit cards, Internet banking, electronic wallets, and cash-on-delivery (COD), has led to a paradigm shift in the purchasing patterns of people from brick-and-mortar stores to online shopping. Also, e-commerce platforms not only enable consumers to buy goods easily as they do not have the physical barriers involved in offline stores but also help them in making better and more informed decisions, as consumers can view multiple user reviews on the website before purchasing a product. The growth of the e-commerce sector directly impacts the e-commerce technology market. All these factors have increased the demand for e-commerce software and services from end-users. Hence, the growth of the e-commerce industry will boost the growth of the global e-commerce technology market during the forecast period.

    Key E-Commerce Technology Market Trend

    The rising focus on developing headless CMS is another factor supporting the e-commerce technology market growth in the forecast period. The increasing number of touchpoints for customers, such as IoT devices, smartphones, and progressive web apps, is making it difficult for legacy e-commerce websites to manage demand from customers. Even though most retailers have not embraced the IoT, more customers are exploring new product information through devices, such as IoT-enabled speakers, smart voice assistance, and in-store interfaces. To resolve this issue and provide a more effective user experience, vendors are offering a headless e-commerce architecture. Headless e-commerce architecture is a back-end-only content management system (CMS). Furthermore, vendors are offering headless CMS solutions to simplify e-commerce applications and provide flexible software packaging for their clients. For instance, Magento, a subsidiary of Adobe Inc., offers GraphQL, a flexible and performant application programming interface (API), which allows users to build custom front ends, including headless storefronts, advanced web applications (PWA), and mobile apps. Such developments are expected to provide high growth opportunities for market vendors during the forecast period.

    Key E-Commerce Technology Market Challenge

    Growing concerns over data privacy and security will be a major challenge for the e-commerce technology market during the forecast period. Data privacy and security risks are the major barriers to the adoption of e-commerce technology. Hackers are constantly trying to search for vulnerabilities and loopholes in e-commerce infrastructure. Although e-commerce players, vendors, and end-user organizations try to adopt proactive prevention plans to counter security breaches within their systems, the rise in the number of e-commerce website hacking and ransomware attacks has resulted in financial and data loss for companies. In addition, public cloud in

  17. Stores Distributed by Number of Employee

    • aftership.com
    Updated Jan 16, 2024
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    AfterShip (2024). Stores Distributed by Number of Employee [Dataset]. https://www.aftership.com/ecommerce/statistics/regions
    Explore at:
    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 Number of Employee. Most stores' Number of Employee are Less than 10, there are 1.68M stores, which is 89.75% of total. In second place, 44.67K stores' Number of Employee are 20 to 50, which is 2.38% of total. Meanwhile, 41.97K stores' Number of Employee are 10 to 20, which is 2.24% of total. This breakdown reveals insights into stores distribution, providing a comprehensive picture of the performance and efficient of online retailer.

  18. Stores Distributed by Monthly Product Sold

    • aftership.com
    Updated Jan 16, 2024
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    AfterShip (2024). Stores Distributed by Monthly Product Sold [Dataset]. https://www.aftership.com/ecommerce/statistics/regions
    Explore at:
    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 Product Sold. Most stores' Monthly Product Sold are Less than 100, there are 8.26M stores, which is 78.41% of total. In second place, 1.78M stores' Monthly Product Sold are 100 to 1K, which is 16.92% of total. Meanwhile, 356.23K stores' Monthly Product Sold are 1K to 10K, which is 3.38% of total. This breakdown reveals insights into stores distribution, providing a comprehensive picture of the performance and efficient of online retailer.

  19. S

    E‑commerce Platform Statistics 2025: Mobile, AI & Market Growth Unveiled

    • sqmagazine.co.uk
    Updated Aug 26, 2025
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    SQ Magazine (2025). E‑commerce Platform Statistics 2025: Mobile, AI & Market Growth Unveiled [Dataset]. https://sqmagazine.co.uk/ecommerce-platform-statistics/
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    Dataset updated
    Aug 26, 2025
    Dataset authored and provided by
    SQ Magazine
    License

    https://sqmagazine.co.uk/privacy-policy/https://sqmagazine.co.uk/privacy-policy/

    Time period covered
    Jan 1, 2024 - Dec 31, 2025
    Area covered
    Global
    Description

    E-commerce continues to reshape how consumers and businesses interact. With $6.8 trillion in global e‑commerce sales and 2.77 billion online shoppers, it’s clear that digital retail is driving major economic shifts.Two real‑world applications illustrate this shift vividly: U.S. retailers increasingly prioritize mobile‑first experiences, with over 76% of American adults shopping via...

  20. Consumers that would shop mostly online vs. offline worldwide 2023, by...

    • statista.com
    Updated Jun 23, 2025
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    Statista (2025). Consumers that would shop mostly online vs. offline worldwide 2023, by country [Dataset]. https://www.statista.com/statistics/1384193/mostly-online-vs-offline-shopping-worldwide/
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    Dataset updated
    Jun 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2023 - Mar 2023
    Area covered
    Worldwide
    Description

    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.

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Statista Research Department (2025). Consumer opinions on conversational AI for customer service 2024 [Dataset]. https://www.statista.com/topics/871/online-shopping/
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Consumer opinions on conversational AI for customer service 2024

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Dataset updated
Jun 3, 2025
Dataset provided by
Statistahttp://statista.com/
Authors
Statista Research Department
Description

One of the reasons behind AI-powered customer service is the preference for conversational AI over phone calls. In 2024, 82 percent of consumers stated they would use a chatbot instead of waiting for a customer representative to take their call. An outstanding 96 percent of surveyed shoppers believed that more companies should opt for chatbots over traditional customer support services.

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