AI Tutors Market By Learning Style Supported (Adaptive Learning, Self-Paced Learning, Instructor-Supported Learning, Collaborative Learning Environments, Gamified Learning), By Functionality (Homework Assistance, Test Preparation, Subject-Based Learning, Language Learning Support, Real-Time Feedback and Assessment, Study Plan Customization, Others), By Technology (Natural Language Processing (NLP), Machine Learning (ML), Deep Learning, Reinforcement Learning, Speech Recognition, Computer Vision, Others), By Subject (Mathematics, Science, History & Social Studies, Computer Science & Coding, Business Studies & Economics, Arts & Humanities, Test Prep, Others), and By End User (Individual Learners, Parents, Tutoring Institutes & Coaching Centers, Schools & Educational Institutions, Higher Education Institutions, Others), Global Market Size, Segmental analysis, Regional Overview, Company share analysis, Leading Company Profiles And Market Forecast, 2025 – 2035

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What trends will shape AI Tutors Market in the coming years?

The AI Tutors Market accounted for USD 1.64 Billion in 2024 and USD 2.14 Billion in 2025 is expected to reach USD 30.61 Billion by 2035, growing at a CAGR of around 30.48% between 2025 and 2035. The AI tutors market deals with the development and delivery of artificial intelligence-based educational technology that allows an individualised learning process. Education can be made more accessible and effectively performed with the help of these AI tutors that adjust the lesson with the help of a machine learning algorithm, tracking the progress of the student and instantly giving feedback to the student. They serve different levels and topics and assist learners to boost skills at their own pace. The market is rapidly increasing and is booming because of growing popularity in learning, the need to learn remotely, individual education experiences, and the growth of artificial intelligence.

What do industry experts say about the AI Tutors market trends?

“AI tutors have the potential to revolutionize personalized learning... By automating certain instructional and assessment tasks, these systems can free up teachers to focus on the more nuanced, human‑centric aspects of learning.”

• Dr. Emily Johnson, Professor & Education Researcher

“My goal is to enhance the learning of at least 4 million students by 30 percent within five years… pilot programs reveal challenges, but I’m optimistic about AI’s potential to revolutionize education.”

• Kristen DiCerbo, Chief Learning Officer, Khan Academy

Which segments and geographies does the report analyze?

What are the key drivers and challenges shaping the AI Tutors market?

How does personalized learning improve student engagement and academic outcomes?

Individualised learning AI tutors enhance learning and engagement by aligning teaching with the needs, pacing, and learning styles of individual students. In personalised learning, students participating in the program significantly gained in motivation and academic performance, and measures of math and reading performance improved an average of 3 to 5 points on the percentile scales when compared with their more traditional peers. Adaptive learning National Education Policy Centre studies show that adaptive learning enhances student ownership over learning, which in turn results in improved attendance rates and on-task conduct.

The researchers had shown through a study by the RAND Corporation (together with other researchers in the public schools) that students in personalised learning environments recorded almost 1.5 times (in one year) more improvement in mathematics than those in traditional environments. Furthermore, the Institute of Education Sciences mentions that personalised practice makes students more engaged in what they learn due to real-time adaptation of the content, and then students behave more confidently and engage in their progress. These results reaffirm the exigency of the deployment of AI-based personalised learning as a solution in achieving higher academic outcomes and the maintenance of student engagement in the long-term perspective.

Will increasing internet access boost AI tutor adoption worldwide soon?

Increased internet accessibility worldwide is essential for the use of AI tutors since more students will benefit from individualised learning experiences regardless of where they are in the world. A report by UNESCO states that nearly two out of every three children in the world lack internet access in their homes and are therefore restricted to opportunities, presenting them with online learning tools. But with the rising penetration of the internet, especially where mobile broadband is growing in the developing world, more students will have access to AI-based tutoring services.

Further, according to UNICEF, mobile connectivity is the most popular way of accessing the internet in low-income countries, which means that AI-powered tutors presented through smartphones or low-data solutions can be used to address populations that the internet has not reached yet. As further described by the World Bank, enhanced connectivity is associated with improved educational attainment because, in addition to older teaching strategies, the learning practices are enriched by using digital tools and instruments.

Governments are making major investments in the digital infrastructure, and Digital India is an example of an initiative meant to bring broadband connectivity to every village, thus contributing to the correct deployment of AI tutors directly. Once stable internet penetrates more areas, the reachability and efficiency of AI tutoring tools should increase greatly, bringing personalised training to more people in the world.

Does lack of teacher training hinder integration of AI tutors?

A major obstacle to the successful integration of AI tutors in educational institutions is the inadequate training of teachers, which is at the heart of the unsuccessful deployment of AI tutors in schools. In one study published in 2023 by the U.S. Department of Education, it is estimated that only around 45 percent of teachers felt confident enough to integrate the use of AI tools in their pedagogy. The lack of this skill leads to the lack of the use of AI tutors or their use in the wrong way, so they cannot give the effects they could bring (individualised learning, adaptive feedback).

The 2022 global education monitoring report made by UNESCO states that the adoption percentage of AI-based learning technologies is 30-40% higher in the countries that have the most comprehensive programs for preparing teachers on the use of digital tools. In the absence of practical professional growth, educators can hardly manage to determine the AI tutor possibilities that meet curriculum objectives, which affects student performance and slows down the market penetration of AI tutors.

The enhancement of teacher training is the key to the fulfillment of the potential of AI tutors in classrooms globally. The focus of both governments and educational establishments should be on continuing programs to make AI literate so that instructors are assured of being able to utilise these technologies capably and successfully to help create a more flexible and accommodating learning structure.

How can AI tutors support underserved or remote education communities?

AI tutors can greatly improve access to education in underserved and remote populations by delivering scalable and accessible learning resources to individuals. Where teachers are limited and the schools have strained infrastructures, like the provision of water and electricity, tutoring systems that are based on the use of AI can provide customised lessons and immediate feedback, and individually curated learning sequences to accommodate student needs. UNESCO declares that there are over 260 million children out of school or uncatered to by quality education in the whole world, of whom many of them live in remote or underserved locations.

Automated tutors provide the solution to filling such a gap, as they can teach through mobile phones or offline-based platforms and enable the education process regardless of distance and resource constraints. Moreover, the research conducted by the U.S. Department of Education proves that customised learning tools, such as AI tutors, can enhance student achievement, on average by 15-20% of test results, and should be effective. With the help of AI, remote learners will be able to get constant and high-quality education, thereby increasing educational equity and contributing to in achievement gaps in disadvantaged communities.

Can partnerships with educational institutions accelerate AI tutor market growth?

Development of AI tutors is a huge market, which can be much faster when the products offered by the AI tutor providers become fully integrated with classrooms and curricula provided by educational institutions. According to the statistics provided by the U.S. Department of Education, more than 65% of all schools that belong to the U.S. educational system have implemented the use of at least one form of education technology, which makes the sector very fertile for AI tutors. UNESCO emphasises that AI-influenced learning software makes learning more engaging and student-centred, as well as prevents inequities in English-speaking countries.

Governments all over the world have taken up AI education programs highly and aided in the creation and implementation of AI applications in learning institutions. Such partnerships allow piloting in the real-life setting, teacher education, and student responses, ensuring rapid adoption and expansion. Using institutional support, AI tutors may leave the pilot stages and become scalable and efficient solutions even for the most diverse learning environments.

What are the key market segments in the AI Tutors industry?

Based on the Learning Style Supported, the AI Tutors Market is classified into Adaptive Learning, Self-Paced Learning, Instructor-Supported Learning, Collaborative Learning Environments, and Gamified Learning. In the AI tutors market, adaptive learning can be defined as the brightest one. The method of study makes use of current information and computational processes to create instructional material designed to meet the demands of individual learners at the times they work well, in the respects where they are particularly accomplished, and where they are poor.

Compared to the static approaches, adaptive AI tutors will dynamically adapt the level and the form of instruction to the ongoing student performance, and the adaptive nature will improve the level of engagement and learning. Its superiority can be attributed to its scalability and its efficacy across various curricula and age groups. With personalisation gaining momentum in the sphere of digital education, adaptive learning still remains a pioneer in innovation and implementation.

Based on the Functionality, the AI Tutors Market is classified into Homework Assistance, Test Preparation, Subject-Based Learning, Language Learning Support, Real-Time Feedback and Assessment, Study Plan Customization, and Others. Subject-based learning is the outstanding functionality in the AI tutors market. This segment is in the lead because it covers essential academic requirements in such areas as math, science, and languages, where students are likely to need systematic and deep assistance.

Using AI tutors is effective here since it provides personalised explanations, practice questions, and concept tracing for every subject. This direct correlation with school curriculum and exam grades proves the subject-based tutoring extremely useful to the students as well as the educators. It is a convenient measurement related to its far-reaching significance and observable effect on the educational outcomes, which is why it is the most appropriate and invested-in functionality on the market.

Which regions are leading the AI Tutors market, and why?

The North American AI tutors market dominates the economy because of developed technological infrastructure and high investments in education technology. The area is well connected with the internet, and smartphone penetration is large, which allows the implementation of the AI-powered learning tools without any difficulties. Educational institutions and business corporations in North America implement out-of-the-box solutions in the field of personalised learning.

The availability of the key AI and edtech corporations within the U.S. and Canada is the primary triggering factor of rapid innovation and development. Further, an increased investment of governments in digital education programs and the rising popularity of distance and hybrid learning objectives only spur the implementation of AI tutors. A combination of this technological preparedness, the usual funding, and market need seals the concrete importance of North America in AI tutors.

The Asia Pacific AI tutors market is growing due to several reasons. The area is characterised by an enormous and diversified population of students who stimulate the demand for scalable and customised learning services. Countries such as China, India, South Korea, and Japan are investing so much in digital education technology so as to make access and quality great. Moreover, the popularisation of smartphones and the increase in internet-enabled connectivity have increased the availability of AI-based tutoring in both city and rural settings.

The fact that there are powerful tech centres and artificial intelligence research centres also helps spark innovation and the growth of the sophisticated tutoring platform. An increase in the recognition of parents and educators towards the advantages of personalised learning is increasing the growth of the market. It is also more inclusive, as cost-efficient AI tutoring solutions will be more attractive in this price-conscious region. On the whole, technological preparedness, a substantial number of users, and favourable policies will make Asia Pacific a powerhouse in the global market of AI tutor services.

What does the competitive landscape of the AI Tutors market look like?

The AI tutors market is rapidly changing, and such core actors as Duolingo, Google, BYJU, and Carnegie Learning provide the highest level of innovation by introducing highly functional adaptive learning solutions. Through AI, these companies have created personalised learning experiences, increasing engagement and success rates of their students. Duolingo has already opened up the scope of AI-driven tutoring, recently introducing more interactive language activities, and BYJU recently made a huge investment in AI-based content addressing various learning styles.

Google is also implementing an educational tool with more of an AI tutoring support aspect, making it more accessible. In the meantime, upstarts such as Squirrel AI and Century Tech are experiencing a rise in popularity thanks to their emphasis on data-related diagnostics and real-time feedback. Generally, the market is competitive, undergoing continuous technology upgrades, and experiencing increased focus on scalable and individual learning solutions.

AI Tutors Market, Company Shares Analysis, 2024

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Which recent mergers, acquisitions, or product launches are shaping the AI Tutors industry?

• In May 2025, Copenhagen-based Alice.Tech, known as the “Duolingo for exams,” raised $4.8 million in a seed funding round led by Cherry Ventures and Y Combinator. The company focused on tailoring course materials into explainers, flashcards, quizzes, and adaptive study plans for students.
• In April 2025, India’s Stimuler secured $3.75 million in a pre-Series A funding round led by Lightspeed and SWC Global. The app, focused on providing real-time voice feedback for ESL learners through pronunciation and fluency guidance, aimed to expand into Southeast Asia and Latin America.

Report Coverage:

By Learning Style Supported

• Adaptive Learning
• Self-Paced Learning
• Instructor-Supported Learning
• Collaborative Learning Environments
• Gamified Learning

By Functionality

• Homework Assistance
• Test Preparation
• Subject-Based Learning
• Language Learning Support
• Real-Time Feedback and Assessment
• Study Plan Customization
• Others

By Technology

• Natural Language Processing (NLP)
• Machine Learning (ML)
• Deep Learning
• Reinforcement Learning
• Speech Recognition
• Computer Vision
• Others

By Subject

• Mathematics
• Science
• History & Social Studies
• Computer Science & Coding
• Business Studies & Economics
• Arts & Humanities
• Test Prep
• Others

By End User

• Individual Learners
• Parents
• Tutoring Institutes & Coaching Centers
• Schools & Educational Institutions
• Higher Education Institutions
• Others

By Region

North America

• U.S.
• Canada

Europe

• U.K.
• France
• Germany
• Italy
• Spain
• Rest of Europe

Asia Pacific

• China
• Japan
• India
• Australia
• South Korea
• Singapore
• Rest of Asia Pacific

Latin America

• Brazil
• Argentina
• Mexico
• Rest of Latin America

Middle East & Africa

• GCC Countries
• South Africa
• Rest of Middle East & Africa

List of Companies:

• Duolingo, Inc.
• Google
• John Wiley & Sons, Inc.
• Apollo Global Management
• Querium
• Century Tech
• Content Technologies, Inc.
• McGraw Hill
• BYJU’S
• Squirrel AI Learning
• Third Space Learning
• Thinkster Math
• Kidaptive
• Zyrobotics
• Lingvist

Frequently Asked Questions (FAQs)