Key Takeaways
- ChatGPT achieved 100 million monthly active users just two months after its launch on November 30, 2022
- By July 2023, ChatGPT had surpassed 1.6 billion visits in a single month, making it the fastest-growing consumer software application in history
- In the first week of launch, ChatGPT hit 1 million users, faster than TikTok or Instagram's initial growth rates
- ChatGPT averaged 1.5 billion queries per day in Q1 2024
- Users spent an average of 15 minutes per session on ChatGPT in 2023
- ChatGPT's bounce rate dropped to 25% by mid-2024, indicating higher stickiness
- OpenAI's ChatGPT revenue hit $1.6 billion annualized run rate by mid-2024
- ChatGPT Plus subscriptions generated $2.2 billion in 2023 revenue
- OpenAI's total funding reached $13 billion by 2024, largely driven by ChatGPT success
- ChatGPT o1 model improved reasoning accuracy by 50% on benchmarks like AIME
- GPT-4 underlying ChatGPT scored 90th percentile on SAT math section
- ChatGPT's context window expanded to 128K tokens in GPT-4o, enabling longer conversations
- ChatGPT's India traffic share was 8.9% of global visits in Q1 2024
- US users accounted for 14.1% of ChatGPT traffic, with 1.2 billion monthly visits in 2024
- India surpassed US as top ChatGPT market with 9.7% traffic share by Q2 2024
ChatGPT experienced explosive growth, becoming history’s fastest-growing consumer app.
Adoption and User Growth
Adoption and User Growth Interpretation
Economic Impact
Economic Impact Interpretation
Engagement Metrics
Engagement Metrics Interpretation
Global Reach
Global Reach Interpretation
Technical Features
Technical Features 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.
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.
Henrik Dahl. (2026, February 13). Chat Statistics. Gitnux. https://gitnux.org/chat-statistics
Henrik Dahl. "Chat Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/chat-statistics.
Henrik Dahl. 2026. "Chat Statistics." Gitnux. https://gitnux.org/chat-statistics.
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