ChatGPT has taken the world by storm, setting a record for the fastest app to reach a 100 million users, which it hit in two months. The implications of this tool are far-reaching, universities...

Annual users of ChatGPT worldwide are expected to grown considerably in the coming months. In 2022, around 57 million people used ChatGPT, with this number increasing to roughly 100 million by January 2023.

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.

ChatGPT has 800 million weekly active users and 122.58 million daily active users as of 2025, with fastest user growth in internet history reaching 1 million users in 5 days.

Between July and August 2023, the ChatGPT mobile app saw an increase of approximately 40 percent in its mobile earnings. Launched for the United States market first on May 19, 2023, the ChatGPT official app was released on Android at the end of July. In September 2023, the app generated around 20 percent more profit compared to the previous month.

In 2023, the vast majority of technology professionals globally reported using ChatGPT to learn new concepts, with about ** percent of respondents reporting so, while nearly ** percent also reported using it for writing code. Debugging and creating documentation were also among the leading uses of AI in the development workflow.

The global Vehicle ChatGPT market is poised for significant growth, driven by the increasing integration of AI-powered conversational interfaces into automotive systems. While precise market size figures for 2025 are not provided, considering the rapid advancement of AI and its adoption across various industries, a conservative estimate for the 2025 market size could be around $500 million. This figure is based on the assumption of a substantial increase in the number of vehicles incorporating AI-powered chatbots due to rising consumer demand for enhanced in-car user experiences and safety features. Given a projected Compound Annual Growth Rate (CAGR) of, let's assume, 35% for the forecast period (2025-2033), the market is expected to reach approximately $7 billion by 2033. This impressive growth is fueled by several factors: the increasing sophistication of AI algorithms enabling more natural and intuitive human-computer interaction, rising consumer adoption of connected cars, and the growing demand for personalized in-vehicle experiences. The market segmentation includes various vehicle types (BEV, PHEV, HEV, Fuel Vehicles) and chatbot functionalities (task-oriented, chat-oriented, hybrid), creating diverse avenues for innovation and market penetration. Key players like Volkswagen, Li Auto, BMW, and others are strategically investing in the development and integration of Vehicle ChatGPT technology, further accelerating market expansion. The segmentation by vehicle type is crucial; BEVs and PHEVs are expected to lead the adoption due to their inherent connectivity features and reliance on software-defined architectures. The integration of Vehicle ChatGPT into these vehicle segments is not just about providing convenience but also about safety and efficiency improvements. For instance, the chatbot can proactively assist drivers with navigation, maintenance reminders, and emergency assistance, creating a safer and more efficient driving experience. The restraints to market growth include data privacy and security concerns, potential for technological malfunctions, and the considerable investment required for R&D and integration. However, overcoming these challenges will unlock immense potential for enhanced customer experiences and automotive industry transformation. The Asia Pacific region, particularly China, is expected to become a key growth driver due to the rapidly expanding automotive market and the increasing popularity of smart vehicle technologies.

Introduction

ChatGPT Statistics: In today’s technologically advancing world, Artificial Intelligence (AI) is no longer just science fiction; it has also become an integral part of everyday life. One of the most exciting examples of AI in action is ChatGPT, a powerful language model developed by OpenAI. ChatGPT is a conversational AI tool capable of generating human-like responses, assisting with a variety of tasks ranging from writing to coding, customer service, education, and more. In everyday life, the implementation of ChatGPT is growing enormously as it enables communication faster, smarter, and more intuitively.

This article examines how ChatGPT operates and its statistical analysis from various perspectives, including its practical applications, and the evolving conversations surrounding its benefits, limitations, and future potential.

A dataset of mentions, growth rate, and total volume of the keyphrase 'Openai Chatgpt' over time.

A dataset of mentions, growth rate, and total volume of the keyphrase 'Chatgpt Search' over time.

A dataset of mentions, growth rate, and total volume of the keyphrase 'Chatgpt Pro Subscribers' over time.

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 project investigated teacher attitudes towards Generative Artificial Intelligence Tools (GAITs). In excess of three hundred teachers were surveyed across a broad variety of teaching levels, demographic areas, experience levels, and disciplinary areas, to better understand how they believe teaching and assessment should change as a result of GAITs such as ChatGPT.Teachers were invited to complete an online survey relating to their perceptions of the open Artificial Intelligence (AI) tool ChatGPT, and how it will influence what they teach and how they assess. The purpose of the study is to provide teachers, policymakers, and society at large with an understanding of the potential impact of tools such as ChatGPT on Education.This dataset contains public data files used for the ChatGPT survey (XLSX) and the survey containing variable selection codes (DOCX). See the second sheet of the XLSX file for variable descriptions.

The Artificial Intelligence Generated Content (AIGC) Large Language Model (LLM) market is experiencing explosive growth, projected to reach $1.3 billion in 2025 and exhibiting a Compound Annual Growth Rate (CAGR) of 141.7%. This phenomenal expansion is fueled by several key drivers. Firstly, the increasing demand for automated content creation across diverse sectors, including marketing, customer service, and education, is significantly boosting adoption. Secondly, advancements in deep learning techniques and the availability of massive datasets are enabling the development of increasingly sophisticated and accurate LLMs. Thirdly, the growing accessibility of cloud-based computing resources is making LLM development and deployment more cost-effective for businesses of all sizes. Finally, the emergence of specialized LLMs tailored to specific applications, such as medical diagnosis or code generation, further accelerates market penetration. However, the market also faces certain restraints. Data privacy concerns and ethical considerations surrounding the use of AI-generated content are significant hurdles. Furthermore, the high computational cost associated with training and deploying large LLMs can pose a barrier to entry for smaller companies. Despite these challenges, the market segmentation reveals significant opportunities. The "Above 100 Billion Parameters" segment is expected to dominate due to its superior performance capabilities, while applications like chatbots and virtual assistants are driving immediate adoption. Geographically, North America and Asia Pacific are expected to be the leading regions, fueled by strong technological innovation and high adoption rates. The competitive landscape is highly dynamic, with major technology companies like OpenAI, Google, and Meta leading the pack, alongside a growing number of specialized AI startups. The forecast period (2025-2033) promises continued market expansion, driven by ongoing innovation and wider industry adoption.

The global market for EV ChatGPT applications is experiencing significant growth, driven by the increasing adoption of electric vehicles (EVs) and the rising demand for advanced in-car conversational AI systems. While precise market size figures for 2025 are unavailable, based on observed trends in the broader EV and AI markets, a reasonable estimate for the 2025 market size would be approximately $500 million USD. Considering a compound annual growth rate (CAGR) of 25% – a conservative estimate considering technological advancements and increased EV sales – the market is projected to reach nearly $2.5 billion by 2033. This robust growth is fueled by several key factors. Firstly, the proliferation of EVs across segments like Battery Electric Vehicles (BEVs), Plug-in Hybrid Electric Vehicles (PHEVs), and Hybrid Electric Vehicles (HEVs) creates a large addressable market for in-car AI assistants. Secondly, consumer demand for enhanced user experience and safety features, such as voice-activated controls and personalized infotainment, significantly drives the adoption of advanced EV ChatGPT systems. Furthermore, continuous improvements in natural language processing (NLP) and machine learning (ML) are enabling more sophisticated and intuitive conversational AI experiences within vehicles, further expanding market appeal. The market segmentation, encompassing various EV types and ChatGPT functionalities (task-oriented, chat-based, hybrid), indicates diverse applications and opportunities for growth. Key players like Volkswagen, Li Auto, BMW, and others are actively investing in developing and integrating these systems into their vehicles, fostering innovation and competition. Market restraints include concerns around data privacy, cybersecurity vulnerabilities, and the high cost of development and implementation. However, these challenges are expected to be progressively addressed through technological advancements and robust regulatory frameworks. The regional distribution is expected to see a significant contribution from North America, Europe, and Asia-Pacific, with China and the United States emerging as key markets, given their robust EV manufacturing and adoption rates. The continued integration of ChatGPT-like functionalities in connected car ecosystems is poised to accelerate market growth throughout the forecast period (2025-2033), creating new opportunities for technology providers and automotive manufacturers alike.

AbstractBackground: There have been successful applications of AI to answering health-related questions, which suggests a potential role for AI in assisting with development of intervention text. This paper explores how ChatGPT might be used to support the rapid development of intervention text.Methods: Three case studies are presented. In the first case study, ChatGPT (using GPT-4) was asked to generate sleep advice for adolescents. In case study two, ChatGPT (using GPT-4) was asked to optimise advice for people experiencing homelessness on staying hydrated in extreme heat. Case study three asked ChatGPT using GPT-4 and GPT-4 to optimise an information sheet for participation in a study developing an intervention for maternal blood pressure. Outputs were evaluated by the researchers who developed the text, and in case studies two and three were shown to public and patient contributors for feedback.Results: ChatGPT was able to generate informative advice about sleep in case study one and was able to accurately summarise information in case studies two and three. In all three cases, elements or aspects were omitted that were included in the researcher-generated text that was based on behaviour change theory, evidence and input from public and patient contributors. However, in case study three, feedback from public contributors suggested ChatGPT’s outputs were preferred to the original, although the outputs omitted information and were not at the requested accessible reading level.Conclusions: ChatGPT was able to accurately generate and summarise health information. However, this information typically excluded core behaviour change techniques and was sometimes inappropriate for the target users. There is likely to be a valuable role for generative AI in the intervention development process, but this will need to be combined with detailed scrutiny and input from researchers and public contributors.

Generative Artificial Intelligence (AI) models such as OpenAI’s ChatGPT have the potential to revolutionize Statistical Process Control (SPC) practice, learning, and research. However, these tools are in the early stages of development and can be easily misused or misunderstood. In this paper, we give an overview of the development of Generative AI. Specifically, we explore ChatGPT’s ability to provide code, explain basic concepts, and create knowledge related to SPC practice, learning, and research. By investigating responses to structured prompts, we highlight the benefits and limitations of the results. Our study indicates that the current version of ChatGPT performs well for structured tasks, such as translating code from one language to another and explaining well-known concepts but struggles with more nuanced tasks, such as explaining less widely known terms and creating code from scratch. We find that using new AI tools may help practitioners, educators, and researchers to be more efficient and productive. However, in their current stages of development, some results are misleading and wrong. Overall, the use of generative AI models in SPC must be properly validated and used in conjunction with other methods to ensure accurate results.

This dataset is composed of four sheets:

• Entry Survey Questionnaire: This sheet contains 44 survey questions, organized into three major sections, that we asked from students before beginning the developments.
• Exit Survey Questionnaire: This sheet includes 114 survey questions, organized into five major sections, that we asked from students after three months of development on three projects.
• Entry Survey Results: This sheet provides the analyzed responses that were collected from the Entry Survey Questionnaire.
• Exit Survey Results: This sheet provides the analyzed responses that were obtained from the Exit Survey Questionnaire.

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.

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.