Key Takeaways
- Average email open rate across all industries is 21.33%.
- Click-to-open rate (CTOR) averages 10.5% for marketing emails.
- B2C click-through rate is 2.63%, higher than B2B's 2.36%.
- Email volume to grow 4.2% annually to 2027.
- Generative AI integration in email tools up 200% in 2023.
- Zero-party data usage in email marketing rose 40%.
- Email marketing has an average ROI of $36 for every $1 spent.
- 59% of marketers say email is their most effective revenue driver.
- Personalized emails improve open rates by 26%.
- In 2023, 85% of all emails were spam, totaling over 300 billion daily.
- Phishing attacks via email rose 58% in 2023.
- 1 in 455 emails sent contains malware in 2023.
- Global email server market size reached $2.8 billion in 2023.
- Microsoft Exchange holds 40% market share in enterprise email servers.
- Gmail processes 15 billion emails daily with 99.978% uptime.
Personalized emails with short subject lines can lift open rates dramatically, reaching 28% on Tuesdays and higher.
Related reading
01 · Category
Engagement Statistics26 stats
Engagement Statistics Interpretation
02 · Category
Market Trends20 stats
Market Trends Interpretation
03 · Category
Marketing Statistics27 stats
Marketing Statistics Interpretation
More related reading
04 · Category
Security and Spam Statistics25 stats
Security and Spam Statistics Interpretation
05 · Category
Technical and Infrastructure Statistics23 stats
Technical and Infrastructure Statistics Interpretation
06 · Category
Usage Statistics30 stats
Usage Statistics Interpretation
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.
Catherine Wu. (2026, February 13). Emailing Statistics. Gitnux. https://gitnux.org/emailing-statistics
Catherine Wu. "Emailing Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/emailing-statistics.
Catherine Wu. 2026. "Emailing Statistics." Gitnux. https://gitnux.org/emailing-statistics.
Sources & references
51 datasets cited across this report · attribution is report-level
+1 additional datasets cited (not shown individually)

