Artificial Intelligence (AI) in Education

Global Artificial Intelligence (AI) in Education Market to Reach US$34.6 Billion by 2030

The global market for Artificial Intelligence (AI) in Education estimated at US$5.4 Billion in the year 2024, is expected to reach US$34.6 Billion by 2030, growing at a CAGR of 36.5% over the analysis period 2024-2030. Solutions Component, one of the segments analyzed in the report, is expected to record a 34.1% CAGR and reach US$21.9 Billion by the end of the analysis period. Growth in the Services Component segment is estimated at 41.4% CAGR over the analysis period.

The U.S. Market is Estimated at US$1.9 Billion While China is Forecast to Grow at 42.0% CAGR

The Artificial Intelligence (AI) in Education market in the U.S. is estimated at US$1.9 Billion in the year 2024. China, the world`s second largest economy, is forecast to reach a projected market size of US$6.6 Billion by the year 2030 trailing a CAGR of 42.0% over the analysis period 2024-2030. Among the other noteworthy geographic markets are Japan and Canada, each forecast to grow at a CAGR of 30.8% and 32.7% respectively over the analysis period. Within Europe, Germany is forecast to grow at approximately 36.0% CAGR.

Global Artificial Intelligence (AI) in Education Market - Key Trends and Drivers Summarized

How Are AI-Driven Technologies Changing Traditional Educational Models?

Artificial Intelligence (AI) is revolutionizing the education landscape by introducing dynamic tools that reshape traditional learning environments, from K-12 classrooms to higher education institutions. AI-powered technologies such as personalized learning platforms and intelligent tutoring systems (ITS) bring tailored educational experiences directly to students, adapting content to meet each learner’s specific needs. Through machine learning algorithms, these systems can analyze vast amounts of data to understand individual learning patterns, identify areas for improvement, and adjust lesson content in real-time, enabling students to progress at their own pace. For instance, platforms like Carnegie Learning and Knewton harness AI to adapt lesson difficulty based on student performance, creating a highly customized experience akin to one-on-one tutoring. Beyond individual instruction, AI also assists teachers by automating repetitive administrative tasks like grading, attendance, and student progress tracking, freeing educators to focus on more meaningful interactions and fostering a supportive, engaging classroom environment. The incorporation of AI into traditional educational models represents a shift from a one-size-fits-all approach to a more student-centered, data-driven framework, transforming the way education is delivered and received.

Can AI Increase Global Access and Inclusivity in Education?

AI’s potential to bridge educational gaps and provide inclusive learning experiences is one of its most powerful contributions to global education. By leveraging AI, education becomes more accessible, especially for students in remote areas, underserved communities, or those with disabilities. Tools like real-time language translation, adaptive learning platforms, and virtual classrooms allow students worldwide to access high-quality educational content without geographic or linguistic barriers. Duolingo, for example, uses AI to tailor language-learning lessons that accommodate various skill levels, making language acquisition accessible and effective even without a live instructor. Additionally, AI-driven applications can offer real-time captioning and sign-language interpretation, significantly improving accessibility for students with hearing impairments. Other personalized learning tools for special education adapt resources to the specific cognitive or physical needs of individual students, ensuring that all learners can engage meaningfully. By breaking down traditional obstacles and promoting inclusivity, AI democratizes education on a global scale, helping to address disparities that have long existed in educational access and support.

How is AI Enhancing Teacher-Student Interactions in Modern Classrooms?

AI doesn’t replace the role of educators but enhances it, changing the nature of teacher-student interactions and fostering a more collaborative learning environment. Through predictive analytics, AI enables teachers to gain insights into students` progress, understanding when a student might struggle or disengage. Early identification of these patterns allows teachers to intervene in timely, targeted ways, addressing issues before they hinder learning. Virtual assistants and AI-powered chatbots further support this relationship by offering around-the-clock guidance to students, answering frequently asked questions, and providing additional resources outside classroom hours. This real-time feedback loop helps maintain continuous learning support while allowing educators to concentrate on higher-order tasks such as promoting creativity, critical thinking, and problem-solving skills. Advanced assessment tools like Gradescope, equipped with AI-based grading algorithms, streamline the evaluation of complex written assignments, reducing teachers’ administrative workload while maintaining high accuracy. By equipping teachers with these AI-driven insights and support systems, AI fosters a classroom culture where educators and students work together more fluidly, strengthening the learning experience and ensuring that each student’s needs are met more precisely and efficiently.

What Is Driving the Rapid Growth in the AI in Education Market?

The growth in the AI in education market is driven by several factors, reflecting a collective shift towards technology-enhanced, data-rich, and flexible learning environments. A growing emphasis on personalized and adaptive learning models has sparked demand for AI tools that can customize educational content based on individual student needs and preferences. Technological advances, especially in natural language processing (NLP), are pivotal, as NLP enhances AI’s ability to process human language, enabling intelligent tutoring systems, virtual assistants, and multilingual support, which are essential for diverse classrooms and online platforms. Additionally, the rising adoption of cloud-based AI solutions across educational institutions is driving growth, as these platforms offer scalable and secure resources that can handle large datasets, automate instructional tasks, and support remote learning frameworks. Shifting consumer preferences toward self-paced and on-demand learning experiences have led to a significant increase in EdTech adoption, with students and educators increasingly seeking flexible educational tools. Furthermore, government support for EdTech innovation, alongside strategic partnerships between technology companies and educational organizations, is fostering new applications of AI in education. The integration of predictive analytics in higher education allows institutions to make data-driven decisions, optimizing both operational efficiency and academic outcomes. Collectively, these growth drivers underscore AI’s transformative impact, making it a critical element in the evolving educational ecosystem.

SCOPE OF STUDY:

The report analyzes the Artificial Intelligence (AI) in Education market in terms of units by the following Segments, and Geographic Regions/Countries:

Segments:
Component (Solutions Component, Services Component); Deployment (Cloud Deployment, On-Premises Deployment); Technology (Machine Learning Technology, Natural Language Processing Technology, Other Technologies); Application (Learning Platforms & Virtual Facilitators Application, Intelligent Tutoring Systems Application, Smart Content Application, Fraud & Risk Management Application, Other Applications); End-Use (Higher Education End-Use, K-12 Education End-Use, Corporate Training & Learning End-Use)

Geographic Regions/Countries:
World; United States; Canada; Japan; China; Europe (France; Germany; Italy; United Kingdom; and Rest of Europe); Asia-Pacific; Rest of World.

Select Competitors (Total 296 Featured) -

• Aleks
• AWS
• Blackboard
• Bridgeu
• Carnegie Learning
• Century
• Cognii
• Cognizant
• Dreambox Learning
• Elemental Path
• Fishtree
• Google
• IBM
• Jellynote
• Jenzabar
• Knewton
• Luilishuo
• Metacog
• Microsoft
• Nuance Communications
• OSMO
• Pearson
• Quantum Adaptive Learning
• Querium Corporation
• Third Space Learning

AI INTEGRATIONS
We`re transforming market and competitive intelligence with validated expert content and AI tools.

Instead of following the general norm of querying LLMs and Industry-specific SLMs, we built repositories of content curated from domain experts worldwide including video transcripts, blogs, search engines research, and massive amounts of enterprise, product/service, and market data.

TARIFF IMPACT FACTOR
Our new release incorporates impact of tariffs on geographical markets as we predict a shift in competitiveness of companies based on HQ country, manufacturing base, exports and imports (finished goods and OEM). This intricate and multifaceted market reality will impact competitors by increasing the Cost of Goods Sold (COGS), reducing profitability, reconfiguring supply chains, amongst other micro and macro market dynamics.

Please note: Reports are sold as single-site single-user licenses. Electronic versions require 24-48 hours as each copy is customized to the client with digital controls and custom watermarks. The Publisher uses digital controls protecting against copying and printing is restricted to one full copy to be used at the same location.

The latest version of Adobe Acrobat Reader is required to view the report. Upon ordering an electronic version, the Publisher will provide a link to download the purchased report.

Prior to fulfillment of an order, the client will be required to sign a document detailing the purchase terms for a publication from this publisher. Show more