Key Takeaways
- US online retail sales reached $1.1 trillion in 2021
- $1.0 trillion was spent online by consumers in the US during Q4 2021 (holiday season) across all devices
- 32% of global consumers purchased online in the last 12 months (2022)
- 31% of EU enterprises sold online in 2021
- 66% of shoppers say they use online search engines to find products before making a purchase
- 57% of visitors say they would not recommend a business with a poorly performing mobile site (2018)
- 53% of shoppers will abandon a mobile site that takes longer than 3 seconds to load
- 44% of online shoppers say reviews influence their purchasing decisions strongly (2020)
- Mobile accounted for 54.8% of global ecommerce traffic in 2023
- Core Web Vitals: 46% of ecommerce pages pass all three metrics (2023)
- 53% of users abandon sites that take longer than 3 seconds to load (2018)
- Global ecommerce fraud losses were $41 billion in 2022 (forecast)
- Phishing was the most common reported internet crime in 2022 with 300,000+ complaints
- GDPR: fines totaled €1.1 billion in 2022
- Returns are responsible for 20% to 30% of ecommerce purchases in the U.S. (range reported by industry analysts)
Mobile speed, reviews, and personalization drive ecommerce sales, while fraud and data breaches remain major risks.
Related reading
Market Size
Market Size Interpretation
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User Adoption
User Adoption Interpretation
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Conversion Drivers
Conversion Drivers Interpretation
Mobile & UX
Mobile & UX Interpretation
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Risk & Compliance
Risk & Compliance Interpretation
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Industry Trends
Industry Trends Interpretation
How We Rate Confidence
Every statistic is queried across four AI models (ChatGPT, Claude, Gemini, Perplexity). The confidence rating reflects how many models return a consistent figure for that data point. Label assignment per row uses a deterministic weighted mix targeting approximately 70% Verified, 15% Directional, and 15% Single source.
Only one AI model returns this statistic from its training data. The figure comes from a single primary source and has not been corroborated by independent systems. Use with caution; cross-reference before citing.
AI consensus: 1 of 4 models agree
Multiple AI models cite this figure or figures in the same direction, but with minor variance. The trend and magnitude are reliable; the precise decimal may differ by source. Suitable for directional analysis.
AI consensus: 2–3 of 4 models broadly agree
All AI models independently return the same statistic, unprompted. This level of cross-model agreement indicates the figure is robustly established in published literature and suitable for citation.
AI consensus: 4 of 4 models fully agree
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
Lars Eriksen. (2026, February 13). Online Ecommerce Statistics. Gitnux. https://gitnux.org/online-ecommerce-statistics
Lars Eriksen. "Online Ecommerce Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/online-ecommerce-statistics.
Lars Eriksen. 2026. "Online Ecommerce Statistics." Gitnux. https://gitnux.org/online-ecommerce-statistics.
References
- 1census.gov/retail/index.html
- 2census.gov/retail/mrts/www/data/pdf/ec_current.pdf
- 3oecd.org/sti/consumer/E-commerce-in-G20.pdf
- 4ec.europa.eu/eurostat/statistics-explained/index.php?title=E-commerce_statistics
- 5thinkwithgoogle.com/intl/en-gb/consumer-insights/search-to-store/
- 6thinkwithgoogle.com/intl/en-apac/insights/consumers/digital-experience-and-conversion/
- 7thinkwithgoogle.com/consumer-insights/seo/understanding-your-customers-performance-to-improve/
- 11thinkwithgoogle.com/intl/en-apac/insights/data/m-commerce-trends-2023/
- 8brightlocal.com/research/local-consumer-review-survey/
- 9ups.com/us/en/services/knowledge-center-research/shipping-strategies.html
- 25ups.com/us/en/services/returns.page
- 10gartner.com/en/insights/market-activity/product-recommendations-ecommerce
- 12web.dev/vitals/
- 13kissmetrics.com/blog/website-load-time-stats/
- 14cloudflare.com/learning/performance/what-is-page-load-time/
- 15ibm.com/watson/insights/chatbots-boost-conversions
- 20ibm.com/reports/data-breach
- 26ibm.com/thought-leadership/ai-in-retail
- 16wyzowl.com/video-marketing-statistics/
- 17lexisnexis.com/risk/downloads/fraud-report
- 18ic3.gov/Media/PDF/AnnualReport/2022_IC3Report.pdf
- 19enforcementtracker.com/?year=2022
- 21worldpay.com/content/dam/worldpay/na/global/reports/consumer-payment-authentication-report.pdf
- 22pcisecuritystandards.org/about
- 23legislation.gov.uk/uksi/2013/3134/contents/made
- 24eur-lex.europa.eu/eli/dir/2019/2161/oj







