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...

Introduction

ChatGPT Statistics: ChatGPT, an innovation of OpenAI, has made a substantial entrance into the world of technology, shattering all records with its fast user growth. Chat GPT is an AI-generated chatbot that has been making waves in the technical world since its launch. It has a startling ability to mimic human conversation, making it a reliable tool for various tasks that range from drafting emails, answering queries, and writing essays to even assisting with coding as well.

The substructure of ChatGPT is built on OpenAI's GPT-3, which is a large language model that was showered as one of the enlightened language models when introduced in 2020. This article hunts through the captivating ChatGPT Statistics and traverses everything from user growth nationwide to revenue generation and much more.

Introduction

ChatGPT Statistics: ChatGPT has made notable advancements in natural language processing (NLP) and artificial intelligence (AI), impacting multiple industries. Its advanced capabilities have positioned ChatGPT as a flexible tool, widely integrated into areas such as customer support, content generation, and market research.

Through the analysis of user interactions, ChatGPT provides valuable insights into engagement patterns, technological applications, and the performance of its conversational features. This comprehensive statistical overview examines user behavior and identifies emerging trends that will shape the future of AI-driven communication technologies.

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.

The AI chatbot race between Claude and ChatGPT is reshaping how people work and communicate. Whether drafting business code or fast-tracking creative tasks, these tools power productivity and insight across industries. For instance, enterprise teams integrate Claude’s advanced reasoning into analytics platforms, while marketers tap ChatGPT for on-demand content ideation....

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.

Historical data of ChatGPT weekly active users from launch (November 2022) to October 2025, including milestones, demographics, and website traffic.

The rivalry between ChatGPT and Google Gemini defines the generative AI landscape. ChatGPT remains the leader in active engagement, while Gemini closes the gap through mass distribution. From corporate reports to web traffic studies, figures speak clearly about adoption, reach, and momentum. Explore what makes each platform stand out, and what...

According to a survey carried out in May 2025, ** percent of U.S. Prime users expect to use ChatGPT during Amazon Prime Days. **** percent of respondents did not know what ChatGPT was.

Weekly active user statistics for ChatGPT from January 2023 to April 2025.

As of June 2025, more than **** million Poles were using ChatGPT.

In a survey conducted across four Southeast Asian countries in February 2023, ** percent of the respondents in Singapore selected the collection of personal data as one of the concerns they had regarding the usage of chatbots like ChatGPT. In contrast, this was an issue for ** percent of respondents in Indonesia.

ChatGPT, an artificial intelligence (AI) powered chatbot, is most used by companies in the technical and education industries, with over *** companies using it in 2023. It is perhaps unsurprising that the technical field has embraced the use of ChatGPT, but it is interesting that so many educational institutes have begun to use it. While other industries do utilize the OpenAI-made chatbot, there are less than *** institutions and companies that use ChatGPT in other industries. This is especially true of agriculture, cultural, and legal industries, where only a single company is using ChatGPT in 2023.

A comparative table of response and citation characteristics for ChatGPT and Google AI Overview in 2025, including response length, sentence length, number of sources, duplication rate, domain overlap, subjectivity, readability, AI marker usage, domain age share, and semantic similarity.

This dataset presents ChatGPT usage patterns across different age groups, showing the percentage of users who have followed its advice, used it without following advice, or have never used it, based on a 2025 U.S. survey.

This dataset presents ChatGPT usage patterns across U.S. Census regions, based on a 2025 nationwide survey. It tracks how often users followed, partially used, or never used ChatGPT by state region.

This dataset shows how men and women in the U.S. reported using ChatGPT in a 2025 survey, including whether they followed its advice or chose not to use it.

Between November 2022 and January 2024, global traffic to ChatGPT's online domain chat.openai.com originated mainly from mobile devices. In the last examined month, mobile devices generated approximately **** billion visits to the chatbot's website, with another **** billion accesses originating from desktops. Launched in November 2022, ChatGPT became the fastest online service to reach the milestone of more than a million users in five days.

This dataset shows the types of advice users sought from ChatGPT based on a 2025 U.S. survey, including education, financial, medical, and legal topics.

As large language models (LLMs) such as GPT have become more accessible, concerns about their potential effects on students’ learning have grown. In data science education, the specter of students’ turning to LLMs raises multiple issues, as writing is a means not just of conveying information but of developing their statistical reasoning. In our study, we engage with questions surrounding LLMs and their pedagogical impact by: (a) quantitatively and qualitatively describing how select LLMs write report introductions and complete data analysis reports; and (b) comparing patterns in texts authored by LLMs to those authored by students and by published researchers. Our results show distinct differences between machine-generated and human-generated writing, as well as between novice and expert writing. Those differences are evident in how writers manage information, modulate confidence, signal importance, and report statistics. The findings can help inform classroom instruction, whether that instruction is aimed at dissuading the use of LLMs or at guiding their use as a productivity tool. It also has implications for students’ development as statistical thinkers and writers. What happens when they offload the work of data science to a model that doesn’t write quite like a data scientist? Supplementary materials for this article are available online.