Intelligent Tutoring Systems Market By Component (Software, Hardware, and Services), By Deployment Mode, By Technology, By Application, By End-User - Global Industry Outlook, Key Companies (Alphabet Inc. (Google), Microsoft Corporation, IBM Corporation, and Others), Trends and Forecast 2025-2034

Market Overview
The Global Intelligent Tutoring Systems Market is projected to reach USD 3.7 billion in 2025 and surge to USD 44.2 billion by 2034, expanding at a robust CAGR of 31.7%, driven by the rising adoption of AI-driven personalized learning and adaptive education technologies.
Intelligent Tutoring Systems (ITS) are advanced educational technologies that utilize artificial intelligence, data analytics, and cognitive science to deliver personalized instruction and real-time feedback to learners. These systems mimic one-on-one human tutoring by adapting content based on the learners pace, knowledge gaps, and behavioral patterns. Through machine learning algorithms, ITS can continuously assess performance, modify learning paths, and provide customized guidance to maximize academic outcomes. The integration of natural language processing and predictive analytics further enhances the learner experience, making ITS a powerful tool in modern education for both academic and skill-based instruction.
The global Intelligent Tutoring Systems market has been witnessing exponential growth as educational institutions and organizations increasingly seek to integrate adaptive learning into their teaching models. This surge is largely driven by the need to bridge learning gaps, improve engagement, and provide equitable access to quality education across diverse demographics. Governments and private stakeholders are investing heavily in EdTech infrastructures, and ITS solutions are emerging as central to these digital education strategies. Their capacity to offer data-driven instruction and automated feedback is proving especially valuable in remote learning and blended classroom environments.
Technological advancements in artificial intelligence, particularly in supervised and reinforcement learning, have expanded the functional capabilities of intelligent tutoring platforms. These systems are no longer limited to standard academic subjects but are now being applied in corporate training, professional development, and special education. The growing presence of cloud-based learning environments is also facilitating the wider adoption of ITS, allowing for scalable deployment, real-time analytics, and multi-device accessibility. As a result, ITS is becoming a preferred tool for educational personalization across both developed and emerging economies.
Regional expansion is being shaped by strong demand in North America and Asia Pacific, where education systems are rapidly evolving toward digitization. The presence of leading EdTech companies, favorable policy support, and high internet penetration are accelerating ITS implementation. Meanwhile, developing regions are showing growing interest in ITS to overcome limitations in teacher availability and instructional resources. With innovations in deep learning and conversational AI, the market is poised for continued evolution, shaping a future where intelligent educational tools become foundational to lifelong learning systems.
The US Intelligent Tutoring Systems Market
The U.S. Intelligent Tutoring Systems Market size is projected to be valued at USD 1.3 billion in 2025. It is further expected to witness subsequent growth in the upcoming period, holding USD 13.4 billion in 2034 at a CAGR of 29.7%.
The U.S. Intelligent Tutoring Systems (ITS) market stands at the forefront of global adoption, fueled by strong EdTech infrastructure, early integration of AI in education, and robust federal and state-level investments in digital learning. With a high demand for personalized and adaptive learning platforms across K–12 schools, higher education institutions, and workforce development programs, the U.S. market is leveraging ITS to close academic achievement gaps and enhance learner outcomes. Public and private initiatives such as AI-driven curriculum tools, interactive virtual tutors, and data-based performance tracking are rapidly reshaping traditional classrooms into intelligent, responsive learning ecosystems.
In addition to academic institutions, the U.S. corporate training sector is growingly adopting ITS solutions to upskill employees through interactive simulations, automated coaching, and competency-based progression. The rise of remote learning, accelerated by the COVID-19 pandemic, has further boosted reliance on intelligent tutoring tools capable of real-time assessment and feedback. With continuous innovation from major players like IBM, Microsoft, and Google in educational AI, the U.S. ITS market is expected to maintain its leadership, setting global benchmarks in adaptive learning technologies and AI-powered education delivery.
The European Intelligent Tutoring Systems Market
The European Intelligent Tutoring Systems (ITS) market is expected to reach USD 0.4 billion by 2025, with a CAGR of 25.3% from 2023 to 2025. This growth is primarily driven by the growing integration of artificial intelligence (AI) into educational platforms across the region. With an emphasis on digital transformation in education, European countries are adopting smart, personalized learning technologies that cater to the individual needs of students. Several governments in Europe are encouraging the use of AI in classrooms to enhance student outcomes, thus propelling the demand for intelligent tutoring systems in schools, universities, and vocational training institutions. Moreover, the growing number of EdTech startups in Europe is fostering innovation and contributing to the rapid adoption of ITS solutions.
As European nations focus on improving the quality of education and bridging learning gaps, intelligent tutoring systems are becoming key to meeting these objectives. Investments in educational technologies and AI are accelerating, with countries like the United Kingdom, Germany, and France leading the way in the development and implementation of ITS solutions. The rise in online learning platforms, which integrate AI to offer personalized educational experiences, further supports this market growth. Additionally, the growing collaboration between technology companies and educational institutions is expected to further boost the adoption of ITS in Europe. With these driving factors, the European ITS market is poised for strong growth, positioning the region as a key player in the global education technology space.
The Japanese Intelligent Tutoring Systems Market
The Japanese Intelligent Tutoring Systems (ITS) market is projected to reach USD 0.2 billion by 2025, with a CAGR of 23.5% from 2023 to 2025. Japan has long been known for its emphasis on high-quality education, and the integration of intelligent tutoring systems into its education system is seen as a key to further advancing personalized learning. The adoption of AI-driven educational solutions in Japan is growing rapidly, driven by a desire to enhance student performance and provide customized learning experiences. As Japan continues to invest in technology and innovation in education, the demand for adaptive learning tools, which can customize the learning experience for individual students, is growing. This shift is supported by both the public and private sectors, with significant government support for digital learning initiatives.
Additionally, Japans robust technological infrastructure and its reputation as a global leader in AI and robotics contribute to the rapid development and implementation of intelligent tutoring systems. The countrys highly competitive education system, combined with a strong interest in enhancing efficiency and outcomes, creates an ideal environment for the growth of ITS solutions. Many educational institutions are increasingly turning to AI to address the challenges posed by large class sizes and the diverse needs of students. With the continuing push for innovation in Japans education sector, the ITS market is set to expand significantly, making Japan an important player in the global education technology landscape.
Global Intelligent Tutoring Systems Market: Key Takeaways
• Market Value: The global intelligent tutoring systems market size is expected to reach a value of USD 31.6 billion by 2034 from a base value of USD 3.1 billion in 2025 at a CAGR of 31.7%.
• By Component Segment Analysis: Software components are poised to consolidate their dominance in the component segment, capturing 60.4% of the total market share in 2025.
• By Deployment Mode Segment Analysis: Cloud-based deployment mode is anticipated to maintain its dominance in the deployment mode segment, capturing 71.9% of the total market share in 2025.
• By Technology Segment Analysis: Supervised Learning is expected to maintain its dominance in the technology segment, capturing 45.9% of the total market share in 2025.
• By Application Type Segment Analysis: K-12 Education applications are poised to consolidate their market position in the application type segment, capturing 50.3% of the total market share in 2025.
• By End-User Segment Analysis: Educational Institutions are anticipated to maintain their dominance in the end-user segment, capturing 70.2% of the market share.
• Regional Analysis: North America is anticipated to lead the global intelligent tutoring systems market landscape with 41.6% of total global market revenue in 2025.
• Key Players: Some key players in the global intelligent tutoring systems market are Alphabet Inc. (Google), Microsoft Corporation, IBM Corporation, Amazon Web Services (AWS), Apple Inc., Pearson PLC, McGraw-Hill Education, Byju's, Coursera Inc., EdTechX Holdings, Squirrel AI Learning, Instructure Holdings, Inc., D2L (Desire2Learn), Smart Sparrow, DreamBox Learning, Inc., Carnegie Learning, Knewton (Wiley), OpenAI, Khan Academy, Udacity, Inc., and Other Key Players.
Global Intelligent Tutoring Systems Market: Use Cases
• AI-Powered Multilingual Tutoring in Emerging Economies: In regions like Southeast Asia, Latin America, and parts of Africa, intelligent tutoring systems are addressing linguistic diversity and teacher shortages through AI-powered multilingual education platforms. These systems utilize Natural Language Processing (NLP) and speech-to-text engines integrated with cloud AI processors such as Google TPU and Amazon Inferentia. ITS platforms automatically translate and adapt learning content into multiple languages, enabling personalized instruction for students in remote and rural areas. With real-time translation, accent recognition, and cultural context alignment, these tools provide an equitable, scalable solution to bridge language barriers and promote digital literacy. Governments and NGOs are actively deploying these platforms to improve learning access across socioeconomically diverse populations.
• Scalable STEM Education for Higher Learning Institutions: Global universities are adopting intelligent tutoring systems to personalize STEM education, particularly in mathematics, computer science, and engineering. ITS platforms embedded with supervised machine learning algorithms and supported by NVIDIA A100 Tensor Core GPUs deliver dynamic content sequencing, code auto-evaluation, and personalized feedback in real-time. These systems use knowledge graphs, adaptive assessments, and intelligent error correction to refine a students learning path based on historical data and performance trends. Global platforms like Coursera and EdX partner with leading universities to integrate ITS into online degree programs, ensuring scalable, high-quality, and interactive STEM learning across international student bodies.
• Corporate Learning and Compliance Training across Geographies: Multinational corporations use intelligent tutoring systems to streamline compliance training and professional development for globally distributed teams. These AI-based platforms support multilingual content delivery, adaptive quizzes, and interactive case simulations, all hosted on cloud-based environments such as Microsoft Azure Cognitive Services or AWS SageMaker. ITS software integrates reinforcement learning models and edge AI inference chips to personalize modules based on user roles, performance history, and regional regulations. Industries like finance, pharmaceuticals, and manufacturing rely on ITS to deliver consistent learning experiences, real-time progress analytics, and certification tracking across offices in North America, Europe, Asia, and the Middle East.
• AI-Enhanced Special Education for Global Inclusion: In developed countries such as Japan, the UK, and Germany, ITS is being integrated into special education classrooms to offer highly personalized, inclusive learning environments. These systems leverage multimodal machine learning, eye-tracking sensors, and emotion-aware AI processors like Intel Movidius and Apple Neural Engine to adapt content in real time based on students emotional and cognitive states. ITS tools support students with dyslexia, autism, and speech impairments by using adaptive user interfaces, tactile feedback, and gamified learning experiences. Schools and education ministries in these countries are investing in AI-driven assistive learning to align with inclusive education mandates and promote accessibility for all learners.
Global Intelligent Tutoring Systems Market: Stats & Facts
• U.S. Department of Education (ED.gov) - Educational Technology Statistics
o In 2023, 95% of U.S. public schools reported using digital learning tools, such as intelligent tutoring systems, to support student learning.
o Over 50% of K-12 schools in the U.S. are integrating AI technologies, including ITS, into their curricula to enhance personalized learning.
o The U.S. Department of Education allocated more than USD 3 billion in 2022 to improve educational technology, a portion of which funds intelligent tutoring systems.
o The National Educational Technology Plan recommends increasing AI-powered educational tools, specifically ITS, to improve student outcomes across the country.
• National Center for Education Statistics (NCES) - Technology in Education Reports
o In 2021, 60% of U.S. high school students were using digital tutoring platforms, with a significant increase in AI-based tools like ITS.
o Research from NCES reveals that 80% of schools serving low-income students use technology-driven interventions such as intelligent tutoring systems to bridge achievement gaps.
o By 2023, over 15% of U.S. middle schools will have fully integrated AI-powered tutoring systems into their teaching methods.
o Approximately 72% of K-12 teachers reported that they would benefit from professional development on how to implement AI-based tools, including intelligent tutoring systems, effectively.
• Institute of Education Sciences (IES) - Educational Research
o In 2022, IES-funded studies demonstrated a 22% increase in student engagement when using personalized learning tools powered by intelligent tutoring systems.
o Data from IES shows that 60% of U.S. school districts that adopted AI-based tutoring solutions saw improved math and reading outcomes among middle school students.
o A study by IES in 2021 found that students using ITS for high school-level STEM subjects scored 18% higher on standardized tests compared to their peers in non-ITS environments.
o IEA data reports that nearly 40% of students in U.S. schools use AI-driven personalized tutoring platforms as part of after-school programs to strengthen weak subjects.
• National Science Foundation (NSF) - EdTech Research and Development
o The NSF has funded over 120 projects related to the development of intelligent tutoring systems in education between 2020 and 2023.
o In 2023, NSF reported a 25% increase in AI-related educational grants, particularly for intelligent tutoring systems aimed at underrepresented student populations.
o By 2025, NSF anticipates that 40% of U.S. universities will have integrated ITS into their graduate-level courses to improve learning outcomes in technical fields.
o NSFs research shows that ITS technologies are reducing the achievement gap, with students in underserved areas showing a 17% increase in academic performance.
• White House Reports on AI in Education
o The White Houses 2022 AI strategy report highlighted that USD 1.5 billion of federal funding would be dedicated to promoting AI tools, such as ITS, in schools by 2025.
o A 2023 White House initiative encouraged school districts to pilot intelligent tutoring systems in over 1,000 classrooms, to expand to 5,000 by 2025.
o According to the 2023 White House report on AI in Education, over 30% of U.S. schools are using AI in some capacity, particularly through intelligent tutoring systems.
o The U.S. governments 2023 investment in AI for education is expected to generate a 30% increase in schools' use of intelligent tutoring systems over the next two years.
• U.S. Federal Funding and Governmental Initiatives
o Federal funding for EdTech was increased by 40% in 2022, with a specific focus on AI tools, including intelligent tutoring systems, in underserved schools.
o In 2021, the U.S. Department of Education launched a national campaign to increase AI literacy, which is expected to result in 15% more schools adopting ITS by 2025.
o By 2024, 50% of U.S. higher education institutions are projected to implement AI-powered tutoring platforms, including ITS, to enhance personalized learning in STEM fields.
o The U.S. federal governments FY2023 budget allocated USD 1.2 billion for the integration of AI solutions like ITS to improve educational access for students with disabilities.
• Technology Adoption in U.S. Schools
o By 2025, nearly 80% of U.S. K-12 schools are expected to use some form of digital learning platform, with 40% utilizing intelligent tutoring systems.
o Over 60% of U.S. teachers have reported integrating technology-assisted personalized learning tools, such as ITS, into their classrooms for more individualized instruction.
o As of 2023, the U.S. Department of Education has recognized the importance of AI-based systems, with 35% of funding allocated for tools like ITS for student achievement.
o A government-sponsored report in 2022 indicated that more than 25% of school districts in the U.S. were using AI systems for student performance monitoring, with a large portion of that being ITS.
• Impact on Educational Equity
o Federal studies have shown that the implementation of AI tutoring systems has reduced the achievement gap in math and science by up to 18% for underserved communities.
o In 2023, the U.S. government reported a 20% rise in the adoption of ITS in rural areas, where it is helping students who lack access to in-person tutoring resources.
Global Intelligent Tutoring Systems Market: Market Dynamics
Global Intelligent Tutoring Systems Market: Driving Factors
Growing Demand for Personalized Learning Solutions
A major force propelling the global intelligent tutoring systems market is the growing emphasis on personalized learning experiences. Educational institutions and corporate training departments are rapidly shifting towards AI-powered adaptive learning systems that tailor content delivery to individual learner profiles. ITS platforms utilize real-time analytics, behavior tracking, and predictive modeling to dynamically adjust the pace and complexity of instruction. This growing need for learner-centric education technology is leading to broader adoption across K–12, higher education, and enterprise training verticals.
Integration of AI and Machine Learning in EdTech Infrastructure
The continuous advancement in artificial intelligence, particularly in natural language processing, deep learning, and reinforcement learning, is transforming how intelligent tutoring systems operate. Enhanced AI models can now interpret complex learner behaviors, provide automated feedback, and recommend next-best actions. Cloud-based AI platforms such as Google Cloud AI, AWS AI Services, and Microsoft Azure Cognitive Services are empowering scalable deployment of ITS, making intelligent instruction accessible to a wider global audience.
Global Intelligent Tutoring Systems Market: Restraints
High Development and Integration Costs
Despite their transformative potential, intelligent tutoring systems often require significant initial investment in terms of software development, content digitization, and integration with existing Learning Management Systems (LMS). The need for advanced computing infrastructure, such as AI processors and GPU-accelerated servers, makes ITS adoption cost-prohibitive for many educational institutions, especially in developing economies. Budget constraints can slow down implementation, particularly at the public school level.
Data Privacy and Security Concerns
As ITS platforms rely heavily on data collection and learner profiling to function effectively, student data privacy and cybersecurity become major concerns. With growing scrutiny around compliance with regulations such as GDPR, FERPA, and COPPA, educational providers are hesitant to adopt solutions that could expose sensitive learner information. The lack of robust data protection frameworks in some regions further limits widespread implementation.
Global Intelligent Tutoring Systems Market: Opportunities
Expansion into Underserved and Remote Learning Markets
Intelligent tutoring systems hold strong potential to transform remote education ecosystems by providing individualized support in areas with limited access to qualified teachers. Governments and NGOs across Africa, Southeast Asia, and Latin America are exploring ITS integration into national digital learning programs. The rise of low-cost mobile devices and internet access in these regions provides a scalable entry point for EdTech firms to tap into new markets through cloud-based ITS platforms and mobile-first learning apps.
Application in Corporate and Vocational Training
Beyond traditional education, ITS platforms are increasingly being applied to enterprise learning, especially in upskilling, reskilling, and compliance training scenarios. Corporations are adopting AI-driven tutoring tools to offer real-time coaching, performance analytics, and knowledge retention tracking to their workforce. As industries evolve with automation and digital transformation, the demand for intelligent, self-paced training systems is projected to grow significantly in sectors like healthcare, finance, and manufacturing.
Global Intelligent Tutoring Systems Market: Trends
Rise of Conversational AI and Virtual Tutors
A leading trend in the ITS market is the integration of conversational AI technologies into virtual tutoring systems. With advances in generative AI and natural language understanding, ITS platforms are now equipped with virtual agents capable of simulating human-like dialogue, answering queries, and guiding learners in an interactive way. These AI tutors increase engagement, reduce dependency on human instructors, and offer 24/7 learning assistance.
Interoperability with Learning Analytics and EdTech Ecosystems
Intelligent tutoring systems are growingly being designed to seamlessly integrate with broader digital education ecosystems, including LMS platforms, content management systems (CMS), and learning analytics dashboards. Open-source frameworks and interoperability standards like xAPI and LTI are enabling ITS to communicate across platforms, facilitating a unified view of learner progress and outcomes. This trend supports data-driven decision-making and enhances the scalability of ITS deployments.
Global Intelligent Tutoring Systems Market: Research Scope and Analysis
By Component Analysis
In the global Intelligent Tutoring Systems (ITS) market, software components are expected to remain the cornerstone of value creation, capturing approximately 60.4% of the total market share in 2025. This dominance is primarily driven by the growing sophistication and versatility of AI-powered educational platforms. These software systems include adaptive learning algorithms, natural language processing engines, machine learning models, and interactive content delivery frameworks that personalize learning in real-time. Platforms like Carnegie Learning, Squirrel AI, and Smart Sparrow leverage deep learning and reinforcement learning models to monitor student performance, adjust instructional pathways, and deliver granular feedback at scale. The continuous improvement of cloud-based infrastructures and scalable APIs also allows ITS software to be integrated with Learning Management Systems (LMS) and content libraries across diverse educational and corporate environments.
On the other hand, the hardware segment, while smaller in share, plays a crucial enabling role in the ITS ecosystem. This category encompasses edge devices such as AI-enabled tablets, smart whiteboards, AR/VR headsets, and voice-interactive devices, which facilitate immersive and hands-on learning experiences. Hardware components often incorporate AI processors, GPUs, and IoT sensors that gather real-time biometric and behavioral data, enhancing the personalization capabilities of the underlying software. In classrooms and training centers, smart devices equipped with vision recognition or speech analytics help ITS platforms interpret non-verbal cues like engagement levels or confusion. As educational institutions continue adopting blended and hybrid learning models, the hardware infrastructure will remain essential in delivering multisensory, interactive learning environments that support ITS software deployment globally.
By Deployment Mode Analysis
In the global Intelligent Tutoring Systems (ITS) market, cloud-based deployment is projected to maintain a dominant position, accounting for 71.9% of the total market share in 2025. This widespread adoption is driven by the scalability, flexibility, and cost-efficiency that cloud infrastructures offer to educational institutions and training organizations. Cloud-based ITS solutions enable real-time data processing, seamless updates, and remote accessibility, critical features for institutions operating across multiple campuses or regions. Providers such as AWS, Microsoft Azure, and Google Cloud are powering intelligent tutoring platforms with AI-as-a-Service models, allowing seamless integration of machine learning algorithms, predictive analytics, and adaptive learning frameworks. Additionally, cloud deployment allows rapid rollout of new features and analytics dashboards, enabling continuous optimization of learner outcomes without the burden of in-house infrastructure management.
In contrast, the on-premises deployment mode, while accounting for a smaller market share, remains relevant in certain contexts where data privacy, network control, and customization are high priorities. Institutions with strict regulatory requirements or limited internet connectivity often opt for localized ITS installations to maintain direct oversight over student data and ensure compliance with policies like FERPA or GDPR. On-premises systems are particularly favored by government-funded education programs and specialized training centers that require full ownership of hardware and software infrastructure. Although less flexible than their cloud counterparts, on-premises ITS deployments offer enhanced security protocols and lower latency in regions where cloud access may be limited or unreliable. Moving forward, a hybrid model may emerge, blending the accessibility of cloud-based systems with the control of on-premises infrastructure.
By Technology Analysis
In the global Intelligent Tutoring Systems (ITS) market, supervised learning is expected to retain its dominance in the technology segment, capturing 45.9% of the total market share in 2025. This is due to its ability to deliver highly accurate, data-driven learning experiences. Supervised learning involves training algorithms using labeled datasets, allowing the ITS to analyze learner behavior, performance patterns, and outcomes in a structured way. As the most widely applied machine learning approach, supervised learning enables ITS platforms to provide personalized recommendations, identify knowledge gaps, and optimize content delivery in real-time. By leveraging historical data and performance metrics, ITS solutions based on supervised learning can adapt to the individual needs of students, making them an ideal fit for K-12 schools, higher education institutions, and corporate training environments. Companies such as Carnegie Learning and Knewton are prime examples of platforms utilizing supervised learning to achieve these adaptive and personalized learning outcomes.
On the other hand, reinforcement learning, although still emerging in the ITS space, presents a promising avenue for further innovation. Unlike supervised learning, reinforcement learning is based on an agent interacting with its environment and learning by trial and error, receiving feedback in the form of rewards or penalties. This allows ITS platforms to develop autonomous, decision-making systems that can continuously refine learning strategies and adjust content delivery in real time. Reinforcement learning is particularly useful in complex scenarios where adaptive learning behaviors need to evolve, such as in gamified learning environments or interactive simulations. Its potential to create intelligent tutors capable of assessing not just academic performance but also student engagement, motivation, and emotional states is one of the reasons it is gaining traction. While it currently holds a smaller share of the market compared to supervised learning, reinforcement learning is expected to grow as EdTech companies explore its application in creating more interactive, dynamic learning experiences.
By Application Analysis
In the global Intelligent Tutoring Systems (ITS) market, K-12 education applications are expected to solidify their dominant position, capturing 50.3% of the total market share in 2025. This growth can be attributed to the growing adoption of AI-driven learning platforms that provide personalized instruction customized to the needs of younger learners. With the flexibility and scalability offered by ITS, K-12 schools can deliver customized learning experiences that adapt in real-time to the pace and learning style of individual students. These systems can help bridge learning gaps by providing immediate feedback, personalized practice exercises, and targeted instructional content, enabling educators to cater to diverse student needs. The use of data-driven analytics to track progress, identify areas for improvement, and predict learning outcomes makes ITS particularly effective in K-12 education, where early intervention and individualized learning paths can significantly impact student success. As digital transformation continues to reshape traditional classrooms, K-12 educational systems are expected to further embrace ITS to enhance learning outcomes, streamline administrative tasks, and improve overall efficiency.
In contrast, the higher education segment is poised to grow significantly, although it holds a relatively smaller market share compared to K-12 applications. ITS solutions in higher education institutions are growingly focused on providing support for more advanced, specialized subjects, enabling students to engage with complex topics through personalized tutoring, collaborative learning, and adaptive content delivery. With the rise of online education, universities are leveraging ITS platforms to enhance the learning experience for remote students, ensuring that they receive the same level of support and engagement as those in traditional classrooms. Moreover, blended learning environments in colleges and universities are benefiting from ITSs ability to integrate with Learning Management Systems (LMS) and student data platforms, allowing seamless tracking of student performance, engagement, and progression. As higher education institutions strive to cater to diverse, global student populations, ITS platforms are becoming key tools to foster student success, retention, and engagement, particularly in large and online courses where individual attention can be challenging. The continued expansion of AI technologies and growing demand for flexible, student-centered learning approaches are expected to drive the ITS market in higher education, albeit at a slightly slower pace compared to K-12 education.
By End-User Analysis