Artificial Intelligence in Education Market Is Set To Rise At A CAGR Of 38.2% From 2024 To 2032

07-Feb-2025 | Zion Market Research

Zion Market Research has published a report on the global Artificial Intelligence In Education Market, estimating its value at USD 4.14 Billion in 2023, with projections indicating that it will reach USD 105.17 Billion by 2032. The market is expected to expand at a compound annual growth rate (CAGR) of 38.2% over the forecast period 2024-2032.

Artificial Intelligence In Education Market Size

Artificial intelligence in education market is a rapidly evolving sector that focuses on the integration of artificial intelligence technologies into educational settings to enhance learning and teaching experiences. AI can analyze vast amounts of data to identify learning gaps, tailor educational content, and deliver real-time feedback.

Browse the full “Artificial Intelligence In Education Market By Technology (Machine Learning, Deep Learning, and Natural Language Processing), By End-Use (Higher Education, K-12 Education, and Corporate Learning), and By Region - Global Industry Perspective, Comprehensive Analysis, and Forecast, 2024 - 2032” Report at https://www.zionmarketresearch.com/report/artificial-intelligence-in-education-market

The Artificial Intelligence In Education industry is driven by rising demand for personalized learning, reducing educators' administrative tasks, and the growing adoption of digital learning platforms.

Market Growth Factors

Several key factors have contributed to the growth of artificial intelligence in education market.

  • Rising demand for personalized learning: Schools are adopting AI to meet individual student needs.
  • Technological advancements: Continuous innovations in AI algorithms and tools are improving educational tools and applications.
  • Increased investment in EdTech: The surge in funding for educational technology startups is facilitating AI-driven solutions.

Restraints

  • Data privacy concerns: The collection and analysis of student data raises privacy issues, hindering adoption.
  • Implementation costs: High initial costs associated with integrating AI technologies may deter some institutions.

Artificial Intelligence In Education Market: Report Scope

Report Attributes Report Details
Report Name Artificial Intelligence In Education Market
Market Size in 2023 USD 4.14 Billion
Market Forecast in 2032 USD 105.17 Billion
Growth Rate CAGR of 38.2%
Number of Pages 160
Key Companies Covered Luilishuo, Google, Inc., Knewton, Microsoft Corporation, Cognii, Sofia Labs, PLEIQ, Brainly, AWS, IBM, and Nuance Communication
Segments Covered By Technology, By End Use and By Region
Regions Covered North America, Europe, Asia Pacific (APAC), Latin America, Middle East, and Africa (MEA)
Base Year 2023
Historical Year 2018 to 2022
Forecast Year 2024 - 2032
Customization Scope Avail customized purchase options to meet your exact research needs. Request For Customization

Market Segmentation

The artificial intelligence in education market can be segmented based on component type, technology, deployment model, application, and end-user.

On the basis of component type, the market is segregated into solutions (such as learning management systems and intelligent tutoring systems) and services (such as consulting and training). Among these, solutions are expected to lead the market because AI-driven learning management systems and intelligent tutoring systems are widely adopted.

Based on technology, artificial intelligence in education industry is segmented into natural language processing (NLP), machine learning, and computer vision. Of these, machine learning (ML) dominates due to its ability to analyze vast datasets and personalize student experiences based on learning patterns.

Based on the deployment model, the industry is classified into cloud-based and on-premise solutions. Cloud-based solutions are expected to lead the market since they offer scalability, remote accessibility, and cost-effectiveness, thus making them ideal for educational institutions and corporate training programs.

On the basis of application, the market is divided into virtual facilitators, smart content creation, assessment tools, and fraud management. Virtual facilitators are expected to hold the largest market share, as AI-powered chatbots and digital tutors are increasingly being used to provide real-time assistance.

Based on the end-user, the market is segmented into K-12 education, higher education, and corporate training sectors. Of these, higher education leads as universities adopt AI for student support, course recommendations, and automated grading.

North America leads the global artificial intelligence in education market due to its advanced technology infrastructure and widespread use of digital learning solutions. The U.S. plays a key role, with many educational institutions investing in AI to improve learning outcomes. Government support for educational technology and a focus on personalized learning further boost market growth. The region's strong startup ecosystem encourages ongoing innovation in EdTech solutions. Additionally, North America is committed to expanding its access to education through technology.

Key Market Players

Prominent companies operating in artificial intelligence in education market include:

  • Luilishuo
  • Google, Inc
  • Knewton
  • Microsoft Corporation
  • Cognii
  • Sofia Labs
  • PLEIQ
  • Brainly
  • AWS
  • IBM
  • Nuance Communication

Recent Developments

  • In January 2024, IBM introduced a new AI-driven platform designed to provide personalized learning experiences for K-12 students.
  • In March 2024, Microsoft expanded its Azure cloud services tailored specifically for educational institutions focusing on AI applications.
  • In May 2024, Duolingo launched new features powered by AI that provide real-time feedback on pronunciation and grammar for language learners.

The global Artificial Intelligence In Education Market is segmented as follows:

By End-Use

  • Higher Education
  • K-12 Education
  • Corporate Learning

By Technology

  • Machine Learning
  • Deep Learning
  • Natural Language Processing         

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