Most organizations have not adapted AI to a great degree, with only a select number of employees within an organization using it in 2023. This is in all likelihood because the technology is still maturing and a select amount of employees might be running pilot programs or test programs for AI usage within companies. What is notable is more than a ******* of companies did not use any AI within their enterprise in 2023.

The largest impact that AI will make is on the current workforce. AI will automate tasks and even entire jobs that humans have previously done.

Cloud based services are reported to be the most popular generative artificial intelligence (AI) tool currently in use, with ** percent of those surveyed worldwide reporting that they use it. Far behind are local or offline solutions with a share of ** percent.

Artificial Intelligence will make a big difference in the future. But how is it used right now?

As of 2023, about ** percent of surveyed employees from companies in the United States of America and United Kingdom claim to use artificial intelligence (AI) in the logic-based task of data analysis. Approximately ** percent claim to use it for routine administrative tasks. These numbers are forecasted to grow, as the share of employees that wish to use the technology for both tasks is much higher, lying around ** percent.

Artificial intelligence has taken over the app world, with thousands of apps integrating AI and the top AI app developers receiving hundred billion dollar valuations. Generative AI, in the form of...

A broad dataset providing insights into artificial intelligence statistics and trends for 2025, covering market growth, adoption rates across industries, impacts on employment, AI applications in healthcare, education, and more.

Abstract:This dataset presents survey responses from first-year engineering students on their use of ChatGPT and other AI tools in a project-based learning environment. Collected as part of a study on AI’s role in engineering education, the data captures key insights into how students utilize ChatGPT for coding assistance, conceptual understanding, and collaborative work. The dataset includes responses on frequency of AI usage, perceived benefits and challenges, ethical concerns, and the impact of AI on learning outcomes and problem-solving skills.With AI increasingly integrated into education, this dataset provides valuable empirical evidence for researchers, educators, and policymakers interested in AI-assisted learning, STEM education, and academic integrity. It enables further analysis of student perceptions, responsible AI use, and the evolving role of generative AI in higher education.By making this dataset publicly available, we aim to support future research on AI literacy, pedagogy, and best practices for integrating AI into engineering and science curricula..................................................................................................................................................................Related PublicationThis dataset supports the findings presented in the following peer-reviewed article:ChatGPT in Engineering Education: A Breakthrough or a Challenge?Davood KhodadadPublished: 7 May 2025 | Physics Education, Volume 60, Number 4© 2025 The Author(s). Published by IOP Publishing LtdCitation: Davood Khodadad 2025 Phys. Educ. 60 045006DOI: 10.1088/1361-6552/add073If you use or reference this dataset, please consider citing the above publication......................................................................................................................................................................Description of the data and file structureTitle: ChatGPT in Engineering Education: Survey Data on AI Usage, Learning Impact, and CollaborationDescription of Data Collection:This dataset was collected through a survey distributed via the Canvas learning platform following the completion of group projects in an introductory engineering course. The survey aimed to investigate how students engaged with ChatGPT and other AI tools in a project-based learning environment, particularly in relation to coding, report writing, idea generation, and collaboration.The survey consisted of 15 questions:12 multiple-choice questions to capture quantitative insights on AI usage patterns, frequency, and perceived benefits.3 open-ended questions to collect qualitative perspectives on challenges, ethical concerns, and students' reflections on AI-assisted learning.Key areas assessed in the survey include:Students’ prior familiarity with AI tools before the course.Frequency and purpose of ChatGPT usage (e.g., coding assistance, conceptual learning, collaboration).Perceived benefits and limitations of using AI tools in an engineering learning environment.Ethical considerations, including concerns about over-reliance and academic integrity.The dataset provides valuable empirical insights into the evolving role of AI in STEM education and can support further research on AI-assisted learning, responsible AI usage, and best practices for integrating AI tools in engineering education.

Business's use of Generative AI, by North American Industry Classification System (NAICS), business employment size, type of business, business activity and majority ownership, first quarter of 2024.

In 2023, the youngest technology professionals in the age range of 18-25 were the most receptive to new artifical intelligence (AI) tools, with a weekly adoption rate of about ** percent. The adoption rate goes down as the age of the IT professionals increases.

Data for Artificial Intelligence: Data-Centric AI for Transportation: Work Zone Use Case proposes a data integration pipeline that enhances the utilization of work zone and traffic data from diversified platforms and introduces a novel deep learning model to predict the traffic speed and traffic collision likelihood during planned work zone events. This dataset is a raw sample of Maryland roadway speed data

Introduction

Grammarly AI Statistics: Grammarly, founded in 2009, has evolved into a leading AI-powered writing assistant. As of 2024, the platform boasts over 30 million daily active users and serves more than 70,000 organizations globally. The company has raised $400 million in funding and achieved a valuation of $13 billion. In 2024, Grammarly generated $251.8 million in revenue, reflecting a 40.76% year-over-year growth. The tool is utilized by over 3,000 higher education institutions and is compatible with more than 500,000 applications and websites.

Grammarly's browser extension has been downloaded over 10 million times on Chrome, and its mobile keyboard app has surpassed 10 million downloads on Android. The company employs over 1,000 staff members and operates with a remote-first hybrid model. This article discusses the Grammarly AI Statistics and progressions that report on growth and impact in 2025.

As of April 2024, 55 percent of older teenagers aged between 15 and 18 years in the United States reported to use generative artificial intelligence (AI) for school assignments. Homework help was also the top motivating factor for younger U.S. teens aged 13 and 14 years to use gen AI tools, as 49 percent of them reported doing so. Approximately 20 percent of all U.S. teens reported having used generative AI to create content as a joke, or to tease another person.

This data asset contains an inventory of USAID AI use cases.

According to a 2023 study conducted with marketers in the United States, ** percent of respondents reported using generative artificial intelligence tools, such as chatbots, as a part of their company's work. Only*** percent of American marketing professionals were not using the generative AI tools.

The global number of AI tools users in the 'AI Tool Users' segment of the artificial intelligence market was forecast to continuously increase between 2025 and 2031 by in total ***** million (+****** percent). After the tenth consecutive increasing year, the number of AI tools users is estimated to reach *** billion and therefore a new peak in 2031. Notably, the number of AI tools users of the 'AI Tool Users' segment of the artificial intelligence market was continuously increasing over the past years.Find more key insights for the number of AI tools users in countries and regions like the market size in the 'Generative AI' segment of the artificial intelligence market in Australia and the market size change in the 'Generative AI' segment of the artificial intelligence market in Europe.The Statista Market Insights cover a broad range of additional markets.

During a 2024 survey, it was found that customer service and support were the leading application of artificial intelligence in ecommerce marketing, named by ** percent of responding ecommerce marketers from Australia, France, New Zealand, the United Kingdom (UK), and the United States. Data analysis and image generation ranked second, both mention by ** percent of respondents.

In the present study, we explored the ways in which Artificial Intelligence (AI) is currently integrated into architectural education in Saudi Arabia, a country undergoing rapid digital and educational transformation. Our main goal was to identify major factors that drive the adoption of AI in the Saudi architectural education. To this end, we analyzed both architecture students’ and faculty members’ awareness, usage, and perceptions of AI. Our particular focus was on divergencies in the perspectives of these two groups. To this end, a survey was conducted among a total of 160 architecture students and 32 faculty members of the Department of Islamic Architecture at Umm Al-Qura University. The collected data were analyzed using both descriptive and inferential statistics, including regression analysis. The results revealed significant differences between students and faculty in terms of their AI awareness and usage. Specifically, while the surveyed students reported experiencing strong enthusiasm and demonstrated familiarity with AI tools, the participant faculty members were hesitant about using AI in architecture learning contexts, voicing particular concerns about an over-reliance on AI that can, from their perspective, compromise students’ creativity. However, despite the aforementioned differences, and acknowledging the urgent need for training programs and workshops aimed at enhancing students’ AI-related skills, both groups agreed on the importance of integrating AI in architectural education in the future. Based on these findings, we conclude with a set of recommendations aimed at increasing AI engagement in architectural curricula, with a particular emphasis on various skill development initiatives that could provide both architecture students and faculty with a better understanding of how AI can support and promote creativity in learning and teaching architectural design.

Most commercial leader executives feel that their organization is using generative AI rarely and machine learning sometimes in 2023. ** percent of commercial leaders also feel that their organization use both technologies often.

According to a 2024 survey conducted in the United States, around ** percent of respondents who used artificial intelligence-powered online search engines found search results provided by these tools more specific to their queries. Another ** percent found their results more trustworthy. On the other hand, approximately ** percent of respondents reported they would not trust AI-generated result to their web searches.