ChatGPT was the chatbot that kickstarted the generative AI revolution, which has been responsible for hundreds of billions of dollars in data centres, graphics chips and AI startups. Launched by...

Complete dataset containing adoption data, usage metrics and ChatGPT benchmarks.

Introduction

ChatGPT Statistics: ChatGPT stands as a sophisticated conversational AI model developed by OpenAI. It belongs to the GPT lineage of models, falling under the acronym "Generative Pre-trained Transformer."

Its primary objective involves engaging in seamless natural language dialogues with users. Offering responses akin to human-like conversation and comprehending an extensive spectrum of input queries.

With a robust training regimen encompassing varied textual sources, ChatGPT excels in generating text that maintains coherence and contextual relevance.

This attribute positions it as a potent instrument applicable across various domains involving interactions between humans and computers.

Its emergence marks a notable stride within natural language processing, ushering in heightened dynamism and interactivity in exchanges between users and automated systems.

Introduction

ChatGPT has grown from a small AI demo into a mainstream tool in a short time. Reported figures show weekly active users climbed to 400 million in February 2025, then reached roughly 700 million by mid-September 2025; OpenAI CEO Sam Altman later said ChatGPT hit 800 million weekly active users in October 2025. Web traffic data points in the same direction: estimates based on Similarweb put chatgpt.com at about 5.8 to 5.9 billion visits in September 2025, up around 7.6% vs August. Because “users†and “visits†measure different things, they should be read together, not mixed.

In the sections that follow, we pull the most cited indicators of adoption: user growth, traffic trends, revenue (in USD), app downloads, market share, and country-level use, to show where ChatGPT stands and how fast it is expanding.

ChatGPT is used most widely among those between ** and ** around the world. The youngest group, those under **, are the second largest userbase, and together those under ** account for over ** percent of ChatGPT users. It is perhaps unsurprising that the younger age brackets use the chatbot more than older as that is the common trend with new technologies. Male users were far more numerous than female users, with males representing over ** percent of total users in 2023.

In January 2024, ChatGPT online domain chat.openai.com registered over **** percent of its traffic as originating in the United States. Users based in India generated approximately **** percent of the total visits to the chatbot platform, while users in Indonesia accounted for *** percent of the total visits to the website. Visits from Brazil represented the fourth-largest group for the platform, generating more than **** percent of the total traffic recorded in the examined period.

Explore Claude vs. ChatGPT Statistics to uncover data‑backed insights, see real differences, and choose the AI that truly fits your needs.

In March 2025, ChatGPT.com received approximately *** billion visits from users worldwide. The most recent year under analysis has seen an increase in traffic to OpenAI's artificial intelligence chatbot. This is the highest traffic volume achieved by the site to date, with values for the most recent analyzed month exceeding twice the average monthly visits for the entire examined period between April 2023 and April 2024.

Discover the most compelling ChatGPT vs. Google Gemini Statistics and see how they compare in growth, accuracy, and performance.

Higher Education Students' Early Perceptions of ChatGPT: Global Survey Data

Description

The introduction of ChatGPT in November 2022 marked a significant milestone in the application of artificial intelligence in higher education. Due to its advanced natural language processing capabilities, ChatGPT quickly became popular among students worldwide. However, the increasing acceptance of ChatGPT among students has attracted significant attention, sparking both excitement and skepticism globally. In order to capture early students' perceptions about ChatGPT, the most comprehensive and large-scale global survey to date was conducted between the beginning of October 2023 and the end of February 2024. The questionnaire was prepared in seven different languages: English, Italian, Spanish, Turkish, Japanese, Arabic, and Hebrew. It covered several aspects relevant to ChatGPT, including sociodemographic characteristics, usage, capabilities, regulation and ethical concerns, satisfaction and attitude, study issues and outcomes, skills development, labor market and skills mismatch, emotions, study and personal information, and general reflections. The survey targeted higher education students who are currently enrolled at any level in a higher education institution, are at least 18 years old, and have the legal capacity to provide free and voluntary consent to participate in an anonymous survey. Survey participants were recruited using a convenience sampling method, which involved promoting the survey in classrooms and through advertisements on university communication systems. The final dataset consists of 23,218 student responses from 109 different countries and territories. The data may prove useful for researchers studying students' perceptions of ChatGPT, including its implications across various aspects. Moreover, also higher education stakeholders may benefit from these data. While educators may benefit from the data in formulating curricula, including designing teaching methods and assessment tools, policymakers may consider the data when formulating strategies for higher education system development in the future.

Categories

Arts and Humanities, Applied Sciences, Natural Sciences, Social Sciences, Mathematics, Health Sciences

Related Links:

Article

https://www.covidsoclab.org/chatgpt-student-survey/ is related to this dataset

Software

https://www.1ka.si/d/en is related to this dataset

Acknowledgements & Source

Dejan Ravšelj , et. al

Data Source: Mendeley Dataset

Analysis of 13,252 publicly shared ChatGPT conversations by WebFX to uncover usage statistics - prompt length, message count, question vs command distribution, use-case categories.

In November 2025, around *** million people worldwide used the artificial intelligence (AI) tool ChatGPT each month, up from about *** million monthly users in January 2025. ChatGPT was also the most downloaded GenAI app as of November 2025.

In February 2026, ChatGPT’s mobile app recorded about ** million iOS and Android downloads worldwide. This brings the total downloads to about **** billion since May 2023. The ChatGPT platform was launched on November 30, 2022, and has attracted global attention and interest. It has led the global artificial intelligence push with its chatbot format, transforming industries like online search.

The ChatGPT App Reviews dataset is a comprehensive collection of user reviews from the ChatGPT mobile app on iOS, capturing valuable insights and sentiments. The dataset enables the understanding of user satisfaction, evaluation of app performance, and identification of emerging patterns.

The way data was collected

Scraping ChatGPT reviews on App Store

Ideas for using this dataset

• Sentiment analysis
• What makes the application receive 1-star and 5-star

Note - It was last updated on July 26th 2023

Most Used Features and Usage Statistics By September 2025, ChatGPT boasts ~800 million weekly users and 355 million monthly active users, with 2.6 billion daily messages across 700 million users. It's the #1 AI tool globally (60.6% market share), especially among under-25s (45% of users). Daily usage: 9% of 18-24-year-olds. Top use cases (from OpenAI's 2025 user study):

Everyday Productivity (52% of sessions): Email drafting, brainstorming, task lists. Content Creation/Writing (28%): Essays, social media, code snippets. Research & Learning (15%): Summaries, explanations, tutoring. Coding/Development (12%): Debugging, automation scripts. Creative Tools (e.g., Image Gen in GPT-4o/5, 10%): Art, voice chats.

Enterprise adoption hit 80% of Fortune 500 companies by mid-2025, with mobile apps driving 40% of traffic. Efficiency Metrics Efficiency in ChatGPT refers to speed, cost, productivity gains, and resource use. GPT-5 processes queries 3x faster than GPT-4o (under 1s for simple tasks) while using 50% less compute. Key metrics:

15% of pages retrieved by ChatGPT were cited Source: AirOps - Optimizing for AI Search: Beyond Keywords to Citation Visibility in ChatGPT (2026).

According to a survey ended March 2025, 28 percent of employed adults in the United States reported using ChatGPT for work-related activities during the analyzed period. Similarly, 26 percent of responding adults stated using the generative artificial intelligence (GAI) software for learning something new, while 22 percent claimed to use it for pure entertainment. However, the increase in ChatGPT usage was more pronounced for professional activities.

A major challenge of our time is reducing disparities in access to and effective use of digital technologies, with recent discussions highlighting the role of AI in exacerbating the digital divide. We examine user characteristics that predict usage of the AI-powered conversational agent ChatGPT. We combine behavioral and survey data in a web tracked sample of N=1376 German citizens to investigate differences in ChatGPT activity (usage, visits, and adoption) during the first 11 months from the launch of the service (November 30, 2022). Guided by a model of technology acceptance (UTAUT-2), we examine the role of socio-demographics commonly associated with the digital divide in ChatGPT activity and explore further socio-political attributes identified via stability selection in Lasso regressions. We confirm that lower age and higher education affect ChatGPT usage, but neither gender nor income do. We find full-time employment and more children to be barriers to ChatGPT activity. Using a variety of social media was positively associated with ChatGPT activity. In terms of political variables, political knowledge and political self-efficacy as well as some political behaviors such as voting, debating political issues online and offline and political action online were all associated with ChatGPT activity, with online political debating and political self-efficacy negatively so. Finally, need for cognition and communication skills such as writing, attending meetings, or giving presentations, were also associated with ChatGPT engagement, though chairing/organizing meetings was negatively associated. Our research informs efforts to address digital disparities and promote digital literacy among underserved populations by presenting implications, recommendations, and discussions on ethical and social issues of our findings.

This dataset contains a CSV file related to ChatGPT including keywords(chatgpt, chat gpt) #hashtags and @mentions about ChatGPT. OpenAI's conversational AI model. The file includes information on 500,000 tweets. The dataset aims to help understand public opinion, trends, and potential applications of ChatGPT by analyzing tweet volume, sentiment, user engagement, and the influence of key AI events. The dataset offers valuable insights for companies, researchers, and policymakers, allowing them to make informed decisions and shape the future of AI-powered conversational technologies.

Check out my Comprehensive Analysis on this dataset: Medium article "Cracking the ChatGPT Code: A Deep Dive into 500,000 Tweets using Advanced NLP Techniques"

Learn about the collection process in Medium article "Effortlessly Scraping Massive Twitter Data"

Input and output data from long-term learning in mathematical statistics using ChatGPT