During a global survey of students conducted in mid-2024, it was found that a whopping ** percent said they were using artificial intelligence tools in their schoolwork. Almost a ****** of them used it on a daily basis.

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Artificial Intelligence (AI) Market In Education Sector Size 2025-2029

The artificial intelligence (ai) market in education sector size is forecast to increase by USD 4.03 billion at a CAGR of 59.2% between 2024 and 2029.

The Artificial Intelligence (AI) market in the education sector is experiencing significant growth due to the increasing demand for personalized learning experiences. Schools and universities are increasingly adopting AI technologies to create customized learning paths for students, enabling them to progress at their own pace and receive targeted instruction. Furthermore, the integration of AI-powered chatbots in educational institutions is streamlining administrative tasks, providing instant support to students, and enhancing overall campus engagement. However, the high cost associated with implementing AI solutions remains a significant challenge for many educational institutions, particularly those with limited budgets. Despite this hurdle, the long-term benefits of AI in education, such as improved student outcomes, increased operational efficiency, and enhanced learning experiences, make it a worthwhile investment for forward-thinking educational institutions. Companies seeking to capitalize on this market opportunity should focus on developing cost-effective AI solutions that cater to the unique needs of educational institutions while delivering measurable results. By addressing the cost challenge and providing tangible value, these companies can help educational institutions navigate the complex landscape of AI adoption and unlock the full potential of this transformative technology in education.

What will be the Size of the Artificial Intelligence (AI) Market In Education Sector during the forecast period?

Request Free SampleArtificial Intelligence (AI) is revolutionizing the education sector by enhancing teaching experiences and delivering personalized learning. AI technologies, including deep learning and machine learning, power adaptive learning platforms and intelligent tutoring systems. These systems create learner models to provide personalized recommendations and instructional activities based on individual students' needs. AI is transforming traditional educational models, enabling intelligent systems to handle administrative tasks and data analysis. The integration of AI in education is leading to the development of intelligent training software for skilled professionals. Furthermore, AI is improving knowledge delivery through data-driven insights and enhancing the learning experience with interactive and engaging pedagogical models. AI technologies are also being used to analyze training formats and optimize domain models for more effective instruction. Overall, AI is streamlining administrative tasks and providing personalized learning experiences for students and professionals alike.

How is this Artificial Intelligence (AI) In Education Sector Industry segmented?

The artificial intelligence (ai) in education sector industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments. End-userHigher educationK-12Learning MethodLearner modelPedagogical modelDomain modelComponentSolutionsServicesApplicationLearning platform and virtual facilitatorsIntelligent tutoring system (ITS)Smart contentFraud and risk managementOthersTechnologyMachine LearningNatural Language ProcessingComputer VisionSpeech RecognitionGeographyNorth AmericaUSCanadaMexicoEuropeFranceGermanyItalySpainUKAPACChinaIndiaJapanSouth KoreaSouth AmericaBrazilMiddle East and AfricaUAE

By End-user Insights

The higher education segment is estimated to witness significant growth during the forecast period.The global education sector is witnessing significant advancements with the integration of Artificial Intelligence (AI). AI technologies, including Machine Learning (ML), are revolutionizing various aspects of education, from K-12 schools to higher education and corporate training. Intelligent Tutoring Systems and Adaptive Learning Platforms are increasingly popular, offering Individualized Instruction and Personalized Learning Experiences based on each student's Learning Pathways and Skills Gap. AI-enabled solutions are enhancing Student Engagement by providing Interactive Learning Tools and Real-time communication, while AI platforms and startups are developing Smart Content and Tailored Content for Remote Learning environments. AI is also transforming administrative tasks, such as Assessment processes and Data Management, by providing Personalized Recommendations and Automated Grading. Universities and educational institutions are leveraging AI for Pedagogical model development and Virtual Classrooms, offering Educational Experiences and Virtual support. AI is also being used for Academic mapping an

The results of a survey conducted among global students in July 2024 show that helping with resume and cover letter writing is the most common use case for artificial intelligence tools among higher education students. ********** of respondents also said they used AI to assist them in writing, for personalized content recommendations, and research. All in all, ** percent of students worldwide admit to using AI in their schoolwork.

Artificial Intelligence In Education Market size was valued at USD 3.2 Billion in 2023 and is projected to reach USD 42 Billion by 2031, growing at a CAGR of 44.30% during the forecast period 2024-2031.

Global Artificial Intelligence In Education Market Drivers

The market drivers for the Artificial Intelligence In Education Market can be influenced by various factors. These may include:

Personalized Learning: AI makes it possible to design learning routes that are specifically catered to the strengths, weaknesses, and learning style of each student, increasing engagement and yielding better results.

Adaptive Learning Platforms: AI-driven adaptive learning platforms leverage data analytics to continuously evaluate student performance and modify the pace and content to help students grasp the material.

Efficiency and Automation: AI frees up instructors' time to concentrate on teaching and mentoring by automating administrative activities like scheduling, grading, and course preparation.

Improved Content Creation: AI tools can produce interactive tutorials, games, and simulations at scale, which makes it easier to create a variety of interesting and captivating learning resources.

Data-driven Insights: AI analytics give teachers useful information on learning preferences, trends in student performance, and areas for development. This information helps them make data-driven decisions and implement interventions.

Accessibility and Inclusion: AI technologies can provide students with individualized help who face linguistic challenges or disabilities by accommodating a variety of learning methods and needs.

Global Demand for Education Technology: The use of artificial intelligence (AI) in education is being fueled by the growing demand for education technology solutions worldwide, which is being driven by factors including the expanding penetration of the internet, the digitization of classrooms, and the growing significance of lifelong learning.

Government Initiatives and Corporate Investments: Government initiatives supporting digital literacy and STEM education as well as corporate investments in AI firms specializing in education technology drive market expansion.

Acceleration caused by the Pandemic: The COVID-19 pandemic has prompted the demand for AI-powered solutions that can improve the delivery of remote education and assist distant learning, hence accelerating the adoption of online and blended learning models.

Institutions aiming to stand out from the competition and draw in students are spending more in AI-powered learning technology as a means of providing cutting-edge instruction and maintaining an advantage over rivals in the market.

Artificial intelligence is reshaping classrooms, campuses, and learning platforms. From personalized study tools for students to grading assistants for teachers, its applications are widespread. Corporations are also embedding AI in workforce training, while schools experiment with AI-driven accessibility to support learners. As adoption grows, the role of AI in equity,...

According to a survey conducted in 2023, ** percent of K-12 teachers in the United States said that they have not received any professional development or training on the topic of artificial intelligence (AI). ** percent also said that they are concerned about the impact of AI in education, and ** percent believed that it will make their job harder in three years.

According to a survey conducted in 2024, over half of Americans believed that students' use of artificial intelligence (AI) in education after high school has a negative impact on their learning, at ** percent. In contrast, only ** percent felt that use of AI after high school has a positive impact on student learning.

Statistics on AI adoption rates in schools globally for 2025.

Supporting data for the AI education publication statistics presented in the paper "An Experience Report of Executive-Level Artificial Intelligence Education in the United Arab Emirates" to be published at the Twelfth AAAI Symposium on Educational Advances in Artificial Intelligence (EAAI-22). The data was used to plot the figure showing the cumulative number of publications from 1976 to 2020 relating to AI education.

The data set records the perceptions of Bangladeshi university students on the influence that AI tools, especially ChatGPT, have on their academic practices, learning experiences, and problem-solving abilities. The varying role of AI in education, which covers common usage statistics, what AI does to our creative abilities, its impact on our learning, and whether it could invade our privacy. This dataset reveals perspective on how AI tools are changing education in the country and offering valuable information for researchers, educators, policymakers, to understand trends, challenges, and opportunities in the adoption of AI in the academic contex.

Methodology Data Collection Method: Online survey using google from Participants: A total of 3,512 students from various Bangladeshi universities participated. Survey Questions:The survey included questions on demographic information, frequency of AI tool usage, perceived benefits, concerns regarding privacy, and impacts on creativity and learning.

Sampling Technique: Random sampling of university students Data Collection Period: June 2024 to December 2024

Privacy Compliance This dataset has been anonymized to remove any personally identifiable information (PII). It adheres to relevant privacy regulations to ensure the confidentiality of participants.

For further inquiries, please contact: Name: Md Jhirul Islam, Daffodil International University Email: jhirul15-4063@diu.edu.bd Phone: 01316317573

This dataset supports a study examining how students perceive the usefulness of artificial intelligence (AI) in educational settings. The project involved analyzing an open-access survey dataset that captures a wide range of student responses on AI tools in learning.

The data underwent cleaning and preprocessing, followed by an exploratory data analysis (EDA) to identify key trends and insights. Visualizations were created to support interpretation, and the results were summarized in a digital poster format to communicate findings effectively.

This resource may be useful for researchers, educators, and technologists interested in the evolving role of AI in education.

Keywords: Artificial Intelligence, Education, Student Perception, Survey, Data Analysis, EDA

Subject: Computer and Information Science

License: CC0 1.0 Universal Public Domain Dedication

DOI: https://doi.org/10.18738/T8/RXUCHK

This dataset examines the opinions of undergraduate students in Hangzhou, China, who are studying management, on the use of Artificial Intelligence (AI) in education. The data set is guided by the Diffusion of Innovations Theory (DOI) and explores the factors that influence students' intentions to use AI technologies. The survey was conducted using a random sampling method to ensure comprehensive data collection from 420 Chinese students aged 18-21. The methodology used in this survey was rigorous.

Global Artificial Intelligence in Education Market is segmented by Application (E-learning_ Personalized Learning_ Assessment_ Curriculum Development_ Classroom Management), Type (Technologies_ Solutions_ Products_ Services_ Platforms), and Geography (North America_ LATAM_ West Europe_Central & Eastern Europe_ Northern Europe_ Southern Europe_ East Asia_ Southeast Asia_ South Asia_ Central Asia_ Oceania_ MEA)

The global Artificial Intelligence (AI) in Education market is experiencing robust growth, driven by increasing adoption of AI-powered learning tools across primary, secondary, and higher education sectors. The market's expansion is fueled by several key factors. Firstly, the rising demand for personalized learning experiences is pushing educational institutions to leverage AI's ability to tailor content and pace to individual student needs. Secondly, AI-driven assessment and feedback mechanisms are improving the efficiency and effectiveness of teaching, providing educators with valuable insights into student performance and identifying areas requiring intervention. Thirdly, the increasing availability of affordable AI-powered educational technologies is making these solutions accessible to a wider range of institutions and learners. The integration of AI technologies such as Machine Learning (ML), Deep Learning (DL), and Natural Language Processing (NLP) is transforming various aspects of education, from automated grading and personalized tutoring systems to intelligent content creation and administrative tasks. The market is segmented by application (Higher Education, Primary and Secondary Education) and by type of AI technology (ML/DL, NLP), with significant growth anticipated across all segments. While data limitations prevent precise quantification, a conservative estimate based on industry reports suggests a current market size in the billions, with a Compound Annual Growth Rate (CAGR) exceeding 20% throughout the forecast period (2025-2033). Despite the considerable potential, several challenges remain. Data privacy concerns related to the collection and use of student data pose significant hurdles. The need for robust infrastructure and sufficient teacher training to effectively integrate AI tools into the classroom also presents obstacles. Furthermore, the cost of developing and implementing advanced AI solutions, coupled with potential disparities in access across different regions and socioeconomic groups, can hinder market penetration. However, ongoing advancements in AI technology, coupled with increasing investments in educational technology and a growing awareness of AI's potential, are expected to mitigate these challenges and fuel continued market expansion. Key players like Google, IBM, Microsoft, and Pearson are driving innovation and market penetration, alongside numerous specialized education technology companies contributing to the market's dynamic landscape.

According to a survey conducted in 2023 in the United States, ** percent of undergraduate students said that they would feel more comfortable using artificial intelligence (AI) tools if they were developed and vetted by trusted academic sources. ** percent also agreed that AI will improve how students learn, rather than have negative consequences on learning.

AI in Education Market is Segmented by Component (Solutions, Services), Deployment Mode (Cloud, On-Premises, Hybrid), End-User (K-12 Schools, Higher Education Institutions, Corporate Training and Skill Development, and More), Application (Intelligent Tutoring Systems, Virtual Facilitators and Learning Environments, and More), Technology (Machine Learning, Natural Language Processing, Computer Vision, and More) and Geography.

This dataset supports a meta-analytic structural equation modelling (MASEM) study investigating the factors influencing students’ behavioural intention to use educational AI (EAI) technologies. The research integrates constructs from the Technology Acceptance Model (TAM), Theory of Planned Behaviour (TPB), and Artificial Intelligence Literacy (AIL), aiming to resolve inconsistencies in previous studies and improve theoretical understanding of EAI technology adoption.

Research Hypotheses The study hypothesized that: Students’ behavioural intention (INT) to use EAI technologies is influenced by perceived usefulness (PU), perceived ease of use (PEU), attitude (ATT), subjective norm (SN), and perceived behavioural control (PBC), as described in TAM and TPB. AI literacy (AIL) directly and indirectly predicts PU, PEU, ATT, and INT. These relationships are moderated by contextual factors such as academic level (K–12 vs. higher education) and regional economic development (developed vs. developing countries).

What the Data Shows The meta-analytic dataset comprises 166 empirical studies involving over 69,000 participants. It includes pairwise Pearson correlations among seven constructs (PU, PEU, ATT, SN, PBC, INT, AIL) and is used to compute a pooled correlation matrix. This matrix was then used to test three models via MASEM: A baseline TAM-TPB model, An internal-extended model with additional TPB internal paths, An AIL-integrated extended model. The AIL-integrated model achieved the best fit (CFI = 0.997, RMSEA = 0.053) and explained 62.3% of the variance in behavioural intention.

Notable Findings AI literacy (AIL) is the strongest predictor of intention to use EAI technologies (Total Effect = 0.408). PU, ATT, and SN also significantly influence intention. The effect of PEU on intention is fully mediated by PU and ATT. Moderation analysis showed that the relationships differ between developed and developing countries and between K–12 and higher education populations.

How the Data Can Be Interpreted and Used The dataset includes bivariate correlations between variables, publication metadata, sample sizes, coding information, and reliability values (e.g., CR scores). Suitable for replication of MASEM procedures, moderation analysis, and meta-regression. Researchers may use it to test additional theoretical models or assess the influence of new moderators (e.g., AI tool type). Educators and policymakers can leverage insights from the meta-analytic results to inform AI literacy training and technology adoption strategies.

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.

According to a 2023 survey, over half of teachers say that they have concerns about plagiarism in essays or work and reduced human interaction in learning related to the use of artificial intelligence (AI) in education in the United States. In contrast, only **** percent said that they do not have any concerns about the use of AI in education.

The global AI in Education market is poised for significant expansion, projected to reach an estimated $35,000 million by 2025 and grow at a robust Compound Annual Growth Rate (CAGR) of 25% through 2033. This dynamic growth is fueled by an increasing demand for personalized learning experiences, the widespread adoption of digital learning platforms, and the growing need for intelligent tutoring systems. Key drivers include the escalating need for efficient administrative tasks within educational institutions, enhanced student engagement through adaptive learning pathways, and the development of sophisticated assessment tools. The market is also benefiting from advancements in natural language processing (NLP) and machine learning, enabling AI to effectively analyze educational data and provide actionable insights for both educators and learners. This technological integration is not only improving learning outcomes but also optimizing resource allocation and streamlining educational processes across various segments. The AI in Education market is segmented by application into K-12, Higher Education, Corporate Training, Language Learning, Reading, and Other. Higher education and corporate training are expected to lead the adoption of AI solutions due to their complex learning needs and the substantial investments in professional development. The market is further categorized by type into Educational Data Mining and Learning Analytics. Both segments are experiencing rapid development, with Learning Analytics gaining particular traction as it offers predictive capabilities to identify at-risk students and personalize interventions. Leading companies like IBM Watson, Knewton, DreamBox, and Renaissance Learning are at the forefront, innovating and offering advanced AI-powered solutions. While the market is experiencing strong growth, potential restraints include data privacy concerns, the high initial investment for AI integration, and the need for skilled educators to effectively leverage AI tools. However, ongoing technological advancements and the clear benefits of AI in revolutionizing education are expected to outweigh these challenges, driving sustained market expansion. This comprehensive report provides an in-depth analysis of the global AI Education market, meticulously examining its trajectory from 2019-2033. With 2025 serving as both the Base Year and Estimated Year, and a Forecast Period spanning 2025-2033, the report offers invaluable insights into the market's dynamics. Leveraging historical data from 2019-2024, it projects significant growth and evolving trends within this transformative sector. The market valuation is meticulously assessed in the millions, providing a clear financial perspective on AI's impact on education.