Key Takeaways
- 98% of US adults own a cell phone
- 96% of US smartphone owners text
- Millennials send 87 texts per day on average
- Texting causes 1.6 million accidents annually in US
- 94% of drivers report texting while driving
- Teens texting while driving 3x more likely to crash
- Global text messaging market size was $112.7 billion in 2022
- SMS marketing revenue projected to reach $12.5 billion by 2027
- Mobile messaging market valued at $95.79 billion in 2023
- 5G enables 10x faster text delivery speeds
- AI-powered text analytics market growing at 25% CAGR
- 70% of businesses adopt SMS automation by 2025
- In 2023, global SMS traffic reached 8.9 trillion messages annually
- Americans send over 6 billion SMS texts daily
- 81% of SMS messages are read within 3 minutes of receipt
Texting dominates daily life worldwide, with billions sent and major growth in apps, messaging services, and security.
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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.
Nathan Caldwell. (2026, February 13). Text Statistics. Gitnux. https://gitnux.org/text-statistics
Nathan Caldwell. "Text Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/text-statistics.
Nathan Caldwell. 2026. "Text Statistics." Gitnux. https://gitnux.org/text-statistics.
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