Key Takeaways
- The global email marketing software market size was valued at USD 1.58 billion in 2023 and is projected to grow to USD 4.67 billion by 2032 at a CAGR of 13.03%
- Email marketing industry revenue reached $1.5 billion in the US alone in 2023
- There are over 4.48 billion email users worldwide as of 2024
- Average email open rate across all industries is 21.33% in 2024
- B2C email open rates average 24.77% while B2B is 15.14% in 2024
- Click-through rate (CTR) for email averages 2.93% across industries in 2024
- Email marketing delivers an average ROI of $36 for every $1 spent
- 89% of marketers report positive ROI from email marketing in 2024
- Email drives 4x more revenue than social media per campaign
- 74% of segmentation usage leads to 10%+ open rate increase and revenue uplift
- Personalized subject lines boost open rates by 26%
- Segmented campaigns have 14.31% higher open rates than non-segmented
- AMP emails with dynamic content increase engagement by 25%
- 56% of brands prioritize AI for email personalization in 2024
- Mobile-first design is used by 73% of marketers for emails
Email marketing thrives due to strong growth, exceptional ROI, and highly effective personalization strategies.
Market Size & Growth
Market Size & Growth Interpretation
Open & Click Rates
Open & Click Rates Interpretation
Personalization & Segmentation
Personalization & Segmentation Interpretation
ROI & Revenue
ROI & Revenue Interpretation
Trends & Best Practices
Trends & Best Practices 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.
Catherine Wu. (2026, February 13). Email Marketing Industry Statistics. Gitnux. https://gitnux.org/email-marketing-industry-statistics
Catherine Wu. "Email Marketing Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/email-marketing-industry-statistics.
Catherine Wu. 2026. "Email Marketing Industry Statistics." Gitnux. https://gitnux.org/email-marketing-industry-statistics.
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