AI In The Edtech Market Size, Share, Opportunities, And Trends By End-Users (Students, Teachers, Parents, Institutions), By Deployment (Cloud, On-Premise), By Application (Content Creation, Personalized Learning, Operations, Others), And By Geography - Forecasts From 2024 To 2029

  • Published : Mar 2024
  • Report Code : KSI061616765
  • Pages : 145

The AI in the EdTech market is anticipated to expand at a high CAGR over the forecast period.

AI in EdTech is the use of artificial intelligence technologies in educational technology platforms and solutions to improve teaching and learning outcomes. It includes a variety of applications such as personalized learning, intelligent tutoring systems, automated grading and assessment, adaptive learning platforms, virtual classroom aides, and educational data analytics.

Some key components and trends within the AI in the EdTech market are Adaptive Learning Systems, Intelligent Tutoring Systems (ITS), Natural Language Processing, and Machine Learning (ML). Adaptive Learning Systems use AI algorithms to personalize learning experiences to individual students' requirements, preferences, and styles, altering pace, material, and instruction delivery to maximize learning results.

Intelligent Tutoring Systems use artificial intelligence to deliver personalized coaching and feedback to students, much like a human teacher would. They analyze performance data to identify strengths and shortcomings and then provide tailored learning interventions.

ML technologies enable computers to learn from data and make predictions or decisions without explicit programming. In EdTech, ML is used for personalized recommendation systems, predictive analytics, and content customization.

Market Drivers:

  • Increasing demand for personalized learning is contributing to AI in the EdTech market growth

AI provides adaptive learning systems that personalize educational content and learning experiences to each student's unique requirements, preferences, and learning styles, resulting in greater engagement and understanding.

Among various products available in the market, The Cognii Learning Platform is a handy, stand-alone platform that combines the Cognii Virtual Learning Assistant for students and Cognii Analytics for teachers, providing AI-powered learning, feedback, tutoring, fast course creation, and simple content production templates.

Overall, the growing desire for personalized learning emphasizes the value of AI in EdTech as a potent tool for providing more equal, inclusive, and successful learning experiences for all students.

  • Enhanced teaching experiences are contributing to AI in the EdTech market growth

AI-powered educational technologies and platforms, such as virtual reality simulations, intelligent tutoring systems, and gaming learning activities, can enhance learning engagement and effectiveness by providing dynamic and immersive experiences.

One of the products, Knewton Alta, is a cheap adaptive courseware that extends personalized learning beyond homework by delivering extensive answer explanations, just-in-time education, and remediation of required skill gaps. It continually evaluates students' knowledge and changes in real-time to maximize learning outcomes, organizing information by learning objectives and providing it to students based on their requirements.

Market Restraints:

  • Data privacy concerns hamper the market growth

The collecting and analysis of student data raises privacy issues among parents, educators, and policy officials. Issues with data protection, permission, and abuse can erode faith in AI-powered EdTech solutions, leading to regulatory scrutiny and compliance issues.

  • Application Case Study:

Belisoft- Belitsoft, a prominent eLearning software development firm, provides a variety of services, such as AI chatbot creation, LXP consultancy, skills management software, talent management software, and customized LMS development. They are continually monitoring market trends to provide unique solutions. This article discusses the best AI EdTech firms, their benefits, application procedures, and new approaches for a successful market launch.

AI in the EdTech market is segmented based on different deployment models

AI in the EdTech market is segmented based on different deployment models. Cloud-based deployment entails putting AI-powered EdTech solutions on distant servers maintained by third-party cloud providers. This paradigm provides scalability, flexibility, and cost-effectiveness by allowing educational institutions to subscribe to software-as-a-service (SaaS) solutions and scale resources in response to demand.

On-premises deployment is a concept in which AI-powered EdTech solutions are implemented and hosted locally within an educational institution, allowing for better data control and customization but possibly requiring a significant upfront investment.

North America region is anticipated to hold a significant share of the AI in the EdTech market.

The North American EdTech ecosystem, which includes Google, Microsoft, Magicedtech, and Amazon, is promoting the development of innovative technologies such as AI. This culture of creativity and entrepreneurship in Silicon Valley is likely to have a substantial impact on the application of AI in education, improving learning experiences in schools, universities, and virtual learning environments.

Overall, North America's considerable share of AI in the EdTech market is due to its leadership in technological innovation, strong ecosystem collaboration, financing availability, a favorable regulatory framework, and rising demand for digital learning solutions.

Key Developments:

  • February 2024 - Wiley announced a new three-year open-access partnership with the University of Macau, the first between a Macau university and a worldwide publisher. The deal would provide academics with access to Wiley's journal portfolio and enable researchers to publish open access in almost 2,000 hybrid and fully gold open-access publications.
  • November 2022- Oxford University Pressed partnered with CENTURY Tech to create an adaptive learned solution for Bond, its 11+ preparation brand. The program is scheduled to arrive in 2023 and would feature practiced questions for Granada Learned and Centre for Evaluation and Monitoring examinations, school-written tests, and other exam boards, as well as personalized learned pathways and AI-informed suggestions.

Company Products:

  • StepWise AI – StepWise AI is a Virtual Tutor Software that simulates the supervision of an experienced teacher, assisting students in problem-solving by submitting each step for review and receiving prompt responses. It is adaptable, personalized, and responsive to pupil development, allowing them to proceed as soon as they are prepared. StepWise offers instructors valuable data to help them understand their students' problem-solving abilities and skill levels.
  • ClearMath – ClearMath Solutions is a dynamic strategy that aims to assist kids develops math abilities, confidence, and enthusiasm. They believe that every kid can be a mathematician, and they want to build a community of educators that will help children become creative problem solvers, critical thinkers, and lifelong learners.

Market Segmentation:

  • By End-Users
    • Students
    • Teachers
    • Parents
    • Institutions
  • By Deployment
    • Cloud
    • On-Premise
  • By Application
    • Content creation
    • Personalized Learning
    • Operations
    • Others
  • By Geography
    • North America
      • USA
      • Canada
      • Mexico
    • South America
      • Brazil
      • Argentina
      • Others
    • Europe
      • Germany
      • France
      • UK
      • Spain
      • Others
    • Middle East and Africa
      • Saudi Arabia
      • UAE
      • Israel
      • Others
    • Asia Pacific
      • China
      • Japan
      • India
      • South Korea
      • Indonesia
      • Taiwan
      • Others

1. INTRODUCTION

1.1. Market Overview

1.2. Market Definition

1.3. Scope of the Study

1.4. Market Segmentation

1.5. Currency

1.6. Assumptions

1.7. Base, and Forecast Years Timeline

1.8. Key benefits to the stakeholder

2. RESEARCH METHODOLOGY

2.1. Research Design

2.2. Research Process

3. EXECUTIVE SUMMARY

3.1. Key Findings

3.2. Analyst View

4. MARKET DYNAMICS

4.1. Market Drivers

4.2. Market Restraints

4.3. Porter’s Five Forces Analysis

4.3.1. Bargaining Power of Suppliers

4.3.2. Bargaining Power of Buyers

4.3.3. Threat of New Entrants

4.3.4. Threat of Substitutes

4.3.5. Competitive Rivalry in the Industry

4.4. Industry Value Chain Analysis

4.5. Analyst View

5. AI IN EDTECH MARKET BY END-USERS 

5.1. Introduction

5.2. Students

5.2.1. Market opportunities and trends

5.2.2. Growth prospects

5.2.3. Geographic lucrativeness 

5.3. Teachers

5.3.1. Market opportunities and trends

5.3.2. Growth prospects

5.3.3. Geographic lucrativeness 

5.4. Parents

5.4.1. Market opportunities and trends

5.4.2. Growth prospects

5.4.3. Geographic lucrativeness 

5.5. Institutions

5.5.1. Market opportunities and trends

5.5.2. Growth prospects

5.5.3. Geographic lucrativeness 

6. AI IN EDTECH MARKET BY DEPLOYMENT

6.1. Introduction

6.2. Cloud

6.2.1. Market opportunities and trends

6.2.2. Growth prospects

6.2.3. Geographic lucrativeness 

6.3. On-Premise

6.3.1. Market opportunities and trends

6.3.2. Growth prospects

6.3.3. Geographic lucrativeness 

7. AI IN EDTECH MARKET BY APPLICATION

7.1. Introduction

7.2. Content creation

7.2.1. Market opportunities and trends

7.2.2. Growth prospects

7.2.3. Geographic lucrativeness 

7.3. Personalized Learning

7.3.1. Market opportunities and trends

7.3.2. Growth prospects

7.3.3. Geographic lucrativeness 

7.4. Operations

7.4.1. Market opportunities and trends

7.4.2. Growth prospects

7.4.3. Geographic lucrativeness 

7.5. Others

7.5.1. Market opportunities and trends

7.5.2. Growth prospects

7.5.3. Geographic lucrativeness 

8. AI IN EDTECH MARKET BY GEOGRAPHY

8.1. Introduction

8.2. North America

8.2.1. By End-users 

8.2.2. By Deployment

8.2.3. By Application

8.2.4. By Country

8.2.4.1. United States

8.2.4.1.1. Market Trends and Opportunities

8.2.4.1.2. Growth Prospects

8.2.4.2. Canada

8.2.4.2.1. Market Trends and Opportunities

8.2.4.2.2. Growth Prospects

8.2.4.3. Mexico

8.2.4.3.1. Market Trends and Opportunities

8.2.4.3.2. Growth Prospects

8.3. South America

8.3.1. By End-users 

8.3.2. By Deployment

8.3.3. By Application

8.3.4. By Country

8.3.4.1. Brazil

8.3.4.1.1. Market Trends and Opportunities

8.3.4.1.2. Growth Prospects

8.3.4.2. Argentina

8.3.4.2.1. Market Trends and Opportunities

8.3.4.2.2. Growth Prospects

8.3.4.3. Others

8.3.4.3.1. Market Trends and Opportunities

8.3.4.3.2. Growth Prospects

8.4. Europe

8.4.1. By End-users 

8.4.2. By Deployment

8.4.3. By Application

8.4.4. By Country

8.4.4.1. Germany

8.4.4.1.1. Market Trends and Opportunities

8.4.4.1.2. Growth Prospects

8.4.4.2. France

8.4.4.2.1. Market Trends and Opportunities

8.4.4.2.2. Growth Prospects

8.4.4.3. United Kingdom

8.4.4.3.1. Market Trends and Opportunities

8.4.4.3.2. Growth Prospects

8.4.4.4. Spain

8.4.4.4.1. Market Trends and Opportunities

8.4.4.4.2. Growth Prospects

8.4.4.5. Others

8.4.4.5.1. Market Trends and Opportunities

8.4.4.5.2. Growth Prospects

8.5. Middle East and Africa

8.5.1. By End-users 

8.5.2. By Deployment

8.5.3. By Application

8.5.4. By Country

8.5.4.1. Saudi Arabia

8.5.4.1.1. Market Trends and Opportunities

8.5.4.1.2. Growth Prospects

8.5.4.2. UAE

8.5.4.2.1. Market Trends and Opportunities

8.5.4.2.2. Growth Prospects

8.5.4.3. Israel

8.5.4.3.1. Market Trends and Opportunities

8.5.4.3.2. Growth Prospects  

8.5.4.4. Others

8.5.4.4.1. Market Trends and Opportunities

8.5.4.4.2. Growth Prospects

8.6. Asia Pacific

8.6.1. By End-users 

8.6.2. By Deployment

8.6.3. By Application

8.6.4. By Country

8.6.4.1. China

8.6.4.1.1. Market Trends and Opportunities

8.6.4.1.2. Growth Prospects

8.6.4.2. Japan

8.6.4.2.1. Market Trends and Opportunities

8.6.4.2.2. Growth Prospects

8.6.4.3. India

8.6.4.3.1. Market Trends and Opportunities

8.6.4.3.2. Growth Prospects

8.6.4.4. South Korea

8.6.4.4.1. Market Trends and Opportunities

8.6.4.4.2. Growth Prospects

8.6.4.5. Indonesia

8.6.4.5.1. Market Trends and Opportunities

8.6.4.5.2. Growth Prospects

8.6.4.6. Taiwan

8.6.4.6.1. Market Trends and Opportunities

8.6.4.6.2. Growth Prospects

8.6.4.7. Others

8.6.4.7.1. Market Trends and Opportunities

8.6.4.7.2. Growth Prospects

9. COMPETITIVE ENVIRONMENT AND ANALYSIS

9.1. Major Players and Strategy Analysis

9.2. Market Share Analysis

9.3. Mergers, Acquisition, Agreements, and Collaborations

9.4. Competitive Dashboard

10. COMPANY PROFILES

10.1. Google

10.2. Microsoft

10.3. Magicedtech

10.4. Amazon

10.5. Century

10.6. Querium

10.7. Cognii, Inc.

10.8. John Wiley & Sons, Inc.

10.9. Carnegie Learning


Google

Microsoft

Magicedtech

Amazon

Century

Querium

Cognii, Inc.

John Wiley & Sons, Inc.

Carnegie Learning