AI In Education Market (By Component: Solutions, Services; By Deployment; By Technology; By Application; By End-use) - Global Industry Analysis, Size, Share, Growth, Trends, Revenue, Regional Outlook and Forecast 2023-2032

The global AI in education market was surpassed at USD 2.48 billion in 2022 and is expected to hit around USD 53.71 billion by 2032, growing at a CAGR of 36.03% from 2023 to 2032.

AI In Education Market Size 2023 to 2032

Key Pointers

  • The solutions segment accounted for the largest revenue share of over 70.04% in 2022 and is anticipated to retain its lead during the forecast period.
  • The services segment is anticipated to expand at the highest CAGR of 37.19% during the forecast period.
  • The cloud segment dominated the market with a revenue share of over 55.06% in 2022 and is expected to register the highest CAGR from 2023 to 2032.
  • The machine learning (ML) segment accounted for the largest revenue share of over 60.07% in 2022.
  • Natural language processing (NLP) is expected to register the fastest CAGR of 36.61% during the forecast period.
  • The higher education segment accounted for the largest revenue share of over 40.09% in 2022.
  • The learning platform and virtual facilitators segment dominated the market with a revenue share of over 45.05% in 2022 and is projected to retain its position during the forecast period.
  • The smart content segment is expected to expand at the fastest CAGR of 37.88% during the forecast period. 
  • North America dominated the market with a revenue share of over 35.04% in 2022. 
  • Asia Pacific is expected to be the fastest-growing region during the forecast period.

Report Scope of the AI In Education Market

Report Coverage Details
Market Size in 2022 USD 2.48 billion
Revenue Forecast by 2032 USD 53.71 billion
Growth rate from 2023 to 2032 CAGR of 36.03%
Base Year 2022
Forecast Period 2023 to 2032
Market Analysis (Terms Used) Value (US$ Million/Billion) or (Volume/Units)
Regions Covered North America, Europe, Asia Pacific, Latin America, Middle East & Africa
Companies Covered Amazon Web Services, Inc.; IBM Corporation; Microsoft Corporation; Google LLC; Pearson Plc.

 

Factors such as increasing investments in AI and EdTech by private as well as public sectors and the increasing penetration of edutainment are driving the demand for Artificial Intelligence (AI) in education. Additionally, the advancement in technology is fueling the demand for AI in education around the world. The COVID-19 pandemic severely impacted industries across the world. However, the market witnessed a significant rise in the demand for innovative AI-based education solutions during the pandemic. According to a survey published by the University Professional and Continuing Education Association in 2021, 51% of the faculty in the U.S. are more confident about online education than they were before the outbreak. In May 2020, Jenzabar, Inc., a technology innovator for higher education, announced the launch of the Jenzabar Unity platform to improve operational efficiency and reduce technical barriers associated across campus with the help of iPaas integration.

The AI in education component involves providing a better experience to the students, teachers, and educators. Various service providers are innovating different solutions or services for AI in education that connect to various education platforms. Additionally, the increasing adoption of online education for the development of skills is boosting the demand for AI in education.

Moreover, the demand for AI in education is high due to the pandemic but the lack of skilled professionals is restraining market growth. In 2021, tech companies partnered with universities for introducing new training formats for talent in the AI field to better align with the development trends and newest industry shifts as there is an increase in AI-backed industry applications.

Regional Insights

North America dominated the market with a revenue share of over 35.04% in 2022. Factors such as the existence of leading companies that develop solutions and services, technology infrastructure facilities, and the enormous number of end-users utilizing educational devices for AI in education are the factors driving the market in the region. For instance, in October 2021, IBM corporation announced to provide 30 million people with new skills with more than 170 industry and academic partnerships by 2030, which would help to fill the growing skills gap, democratize opportunity, and give new generations of employees the skills they needed to build a better future.

Asia Pacific is expected to be the fastest-growing region during the forecast period. The growth of the regional market can be attributed to the existence of market players in the region. Baidu, TechNode, Squirrel AI, BYJU'S, Noodle Factory PTE. Ltd., and Liulishuo are a few tech giants and startups operating in the region. Advancements in AI technology, increasing investment and expenditure by governments, and new technology adoption in the education sector in the region are the key factors boosting the market growth. For instance, in July 2021, the Prime minister of India announced AI for All program by the Central Board of Secondary Education (CBSE) in partnership with Intel and the SAFAL assessment system. AI for All is a four-hour, self-paced learning session that demystifies artificial intelligence in a way that is accessible to everyone.

AI In Education Market Segmentations:

By Component By Deployment By Technology By Application By End-use

Solutions

Services

Cloud

On-premises

Natural Language Processing (NLP)

Machine Learning

Learning Platform & Virtual Facilitators

Intelligent Tutoring System (ITS)

Smart content

Fraud and Risk Management

Others

K-12 Education

Higher Education

Corporate Training & Learning

Frequently Asked Questions

The global AI in education market size was reached at USD 2.48 billion in 2022 and it is projected to hit around USD 53.71 billion by 2032.

The global AI in education market is growing at a compound annual growth rate (CAGR) of 36.03% from 2023 to 2032.

The North America region has accounted for the largest AI in education market share in 2022.

Chapter 1. Introduction

1.1. Research Objective

1.2. Scope of the Study

1.3. Definition

Chapter 2. Research Methodology

2.1. Research Approach

2.2. Data Sources

2.3. Assumptions & Limitations

Chapter 3. Executive Summary

3.1. Market Snapshot

Chapter 4. Market Variables and Scope 

4.1. Introduction

4.2. Market Classification and Scope

4.3. Industry Value Chain Analysis

4.3.1. Raw Material Procurement Analysis 

4.3.2. Sales and Distribution Channel Analysis

4.3.3. Downstream Buyer Analysis

Chapter 5. COVID 19 Impact on AI In Education Market 

5.1. COVID-19 Landscape: AI In Education Industry Impact

5.2. COVID 19 - Impact Assessment for the Industry

5.3. COVID 19 Impact: Global Major Government Policy

5.4. Market Trends and Opportunities in the COVID-19 Landscape

Chapter 6. Market Dynamics Analysis and Trends

6.1. Market Dynamics

6.1.1. Market Drivers

6.1.2. Market Restraints

6.1.3. Market Opportunities

6.2. Porter’s Five Forces Analysis

6.2.1. Bargaining power of suppliers

6.2.2. Bargaining power of buyers

6.2.3. Threat of substitute

6.2.4. Threat of new entrants

6.2.5. Degree of competition

Chapter 7. Competitive Landscape

7.1.1. Company Market Share/Positioning Analysis

7.1.2. Key Strategies Adopted by Players

7.1.3. Vendor Landscape

7.1.3.1. List of Suppliers

7.1.3.2. List of Buyers

Chapter 8. Global AI In Education Market, By Component

8.1. AI In Education Market, by Component, 2023-2032

8.1.1. Solutions

8.1.1.1. Market Revenue and Forecast (2020-2032)

8.1.2. Services

8.1.2.1. Market Revenue and Forecast (2020-2032)

Chapter 9. Global AI In Education Market, By Cloud

9.1. AI In Education Market, by Deployment, 2023-2032

9.1.1. Cloud

9.1.1.1. Market Revenue and Forecast (2020-2032)

9.1.2. On-premises

9.1.2.1. Market Revenue and Forecast (2020-2032)

Chapter 10. Global AI In Education Market, By Technology 

10.1. AI In Education Market, by Technology, 2023-2032

10.1.1. Natural Language Processing (NLP)

10.1.1.1. Market Revenue and Forecast (2020-2032)

10.1.2. Machine Learning

10.1.2.1. Market Revenue and Forecast (2020-2032)

Chapter 11. Global AI In Education Market, By Application

11.1. AI In Education Market, by Application, 2023-2032

11.1.1. Learning Platform & Virtual Facilitators

11.1.1.1. Market Revenue and Forecast (2020-2032)

11.1.2. Intelligent Tutoring System (ITS)

11.1.2.1. Market Revenue and Forecast (2020-2032)

11.1.3. Smart content

11.1.3.1. Market Revenue and Forecast (2020-2032)

11.1.4. Fraud and Risk Management

11.1.4.1. Market Revenue and Forecast (2020-2032)

11.1.5. Others

11.1.5.1. Market Revenue and Forecast (2020-2032)

Chapter 12. Global AI In Education Market, By End-use

12.1. AI In Education Market, by End-use, 2023-2032

12.1.1. K-12 Education

12.1.1.1. Market Revenue and Forecast (2020-2032)

12.1.2. Higher Education

12.1.2.1. Market Revenue and Forecast (2020-2032)

12.1.3. Corporate Training & Learning

12.1.3.1. Market Revenue and Forecast (2020-2032)

Chapter 13. Global AI In Education Market, Regional Estimates and Trend Forecast

13.1. North America

13.1.1. Market Revenue and Forecast, by Component (2020-2032)

13.1.2. Market Revenue and Forecast, by Deployment (2020-2032)

13.1.3. Market Revenue and Forecast, by Technology (2020-2032)

13.1.4. Market Revenue and Forecast, by Application (2020-2032)

13.1.5. Market Revenue and Forecast, by End-use (2020-2032)

13.1.6. U.S.

13.1.6.1. Market Revenue and Forecast, by Component (2020-2032)

13.1.6.2. Market Revenue and Forecast, by Deployment (2020-2032)

13.1.6.3. Market Revenue and Forecast, by Technology (2020-2032)

13.1.6.4. Market Revenue and Forecast, by Application (2020-2032)

13.1.7. Market Revenue and Forecast, by End-use (2020-2032) 

13.1.8. Rest of North America

13.1.8.1. Market Revenue and Forecast, by Component (2020-2032)

13.1.8.2. Market Revenue and Forecast, by Deployment (2020-2032)

13.1.8.3. Market Revenue and Forecast, by Technology (2020-2032)

13.1.8.4. Market Revenue and Forecast, by Application (2020-2032)

13.1.8.5. Market Revenue and Forecast, by End-use (2020-2032)

13.2. Europe

13.2.1. Market Revenue and Forecast, by Component (2020-2032)

13.2.2. Market Revenue and Forecast, by Deployment (2020-2032)

13.2.3. Market Revenue and Forecast, by Technology (2020-2032)

13.2.4. Market Revenue and Forecast, by Application (2020-2032) 

13.2.5. Market Revenue and Forecast, by End-use (2020-2032) 

13.2.6. UK

13.2.6.1. Market Revenue and Forecast, by Component (2020-2032)

13.2.6.2. Market Revenue and Forecast, by Deployment (2020-2032)

13.2.6.3. Market Revenue and Forecast, by Technology (2020-2032)

13.2.7. Market Revenue and Forecast, by Application (2020-2032) 

13.2.8. Market Revenue and Forecast, by End-use (2020-2032) 

13.2.9. Germany

13.2.9.1. Market Revenue and Forecast, by Component (2020-2032)

13.2.9.2. Market Revenue and Forecast, by Deployment (2020-2032)

13.2.9.3. Market Revenue and Forecast, by Technology (2020-2032)

13.2.10. Market Revenue and Forecast, by Application (2020-2032)

13.2.11. Market Revenue and Forecast, by End-use (2020-2032)

13.2.12. France

13.2.12.1. Market Revenue and Forecast, by Component (2020-2032)

13.2.12.2. Market Revenue and Forecast, by Deployment (2020-2032)

13.2.12.3. Market Revenue and Forecast, by Technology (2020-2032)

13.2.12.4. Market Revenue and Forecast, by Application (2020-2032)

13.2.13. Market Revenue and Forecast, by End-use (2020-2032)

13.2.14. Rest of Europe

13.2.14.1. Market Revenue and Forecast, by Component (2020-2032)

13.2.14.2. Market Revenue and Forecast, by Deployment (2020-2032)

13.2.14.3. Market Revenue and Forecast, by Technology (2020-2032)

13.2.14.4. Market Revenue and Forecast, by Application (2020-2032)

13.2.15. Market Revenue and Forecast, by End-use (2020-2032)

13.3. APAC

13.3.1. Market Revenue and Forecast, by Component (2020-2032)

13.3.2. Market Revenue and Forecast, by Deployment (2020-2032)

13.3.3. Market Revenue and Forecast, by Technology (2020-2032)

13.3.4. Market Revenue and Forecast, by Application (2020-2032)

13.3.5. Market Revenue and Forecast, by End-use (2020-2032)

13.3.6. India

13.3.6.1. Market Revenue and Forecast, by Component (2020-2032)

13.3.6.2. Market Revenue and Forecast, by Deployment (2020-2032)

13.3.6.3. Market Revenue and Forecast, by Technology (2020-2032)

13.3.6.4. Market Revenue and Forecast, by Application (2020-2032)

13.3.7. Market Revenue and Forecast, by End-use (2020-2032)

13.3.8. China

13.3.8.1. Market Revenue and Forecast, by Component (2020-2032)

13.3.8.2. Market Revenue and Forecast, by Deployment (2020-2032)

13.3.8.3. Market Revenue and Forecast, by Technology (2020-2032)

13.3.8.4. Market Revenue and Forecast, by Application (2020-2032)

13.3.9. Market Revenue and Forecast, by End-use (2020-2032)

13.3.10. Japan

13.3.10.1. Market Revenue and Forecast, by Component (2020-2032)

13.3.10.2. Market Revenue and Forecast, by Deployment (2020-2032)

13.3.10.3. Market Revenue and Forecast, by Technology (2020-2032)

13.3.10.4. Market Revenue and Forecast, by Application (2020-2032)

13.3.10.5. Market Revenue and Forecast, by End-use (2020-2032)

13.3.11. Rest of APAC

13.3.11.1. Market Revenue and Forecast, by Component (2020-2032)

13.3.11.2. Market Revenue and Forecast, by Deployment (2020-2032)

13.3.11.3. Market Revenue and Forecast, by Technology (2020-2032)

13.3.11.4. Market Revenue and Forecast, by Application (2020-2032)

13.3.11.5. Market Revenue and Forecast, by End-use (2020-2032)

13.4. MEA

13.4.1. Market Revenue and Forecast, by Component (2020-2032)

13.4.2. Market Revenue and Forecast, by Deployment (2020-2032)

13.4.3. Market Revenue and Forecast, by Technology (2020-2032)

13.4.4. Market Revenue and Forecast, by Application (2020-2032)

13.4.5. Market Revenue and Forecast, by End-use (2020-2032)

13.4.6. GCC

13.4.6.1. Market Revenue and Forecast, by Component (2020-2032)

13.4.6.2. Market Revenue and Forecast, by Deployment (2020-2032)

13.4.6.3. Market Revenue and Forecast, by Technology (2020-2032)

13.4.6.4. Market Revenue and Forecast, by Application (2020-2032)

13.4.7. Market Revenue and Forecast, by End-use (2020-2032)

13.4.8. North Africa

13.4.8.1. Market Revenue and Forecast, by Component (2020-2032)

13.4.8.2. Market Revenue and Forecast, by Deployment (2020-2032)

13.4.8.3. Market Revenue and Forecast, by Technology (2020-2032)

13.4.8.4. Market Revenue and Forecast, by Application (2020-2032)

13.4.9. Market Revenue and Forecast, by End-use (2020-2032)

13.4.10. South Africa

13.4.10.1. Market Revenue and Forecast, by Component (2020-2032)

13.4.10.2. Market Revenue and Forecast, by Deployment (2020-2032)

13.4.10.3. Market Revenue and Forecast, by Technology (2020-2032)

13.4.10.4. Market Revenue and Forecast, by Application (2020-2032)

13.4.10.5. Market Revenue and Forecast, by End-use (2020-2032)

13.4.11. Rest of MEA

13.4.11.1. Market Revenue and Forecast, by Component (2020-2032)

13.4.11.2. Market Revenue and Forecast, by Deployment (2020-2032)

13.4.11.3. Market Revenue and Forecast, by Technology (2020-2032)

13.4.11.4. Market Revenue and Forecast, by Application (2020-2032)

13.4.11.5. Market Revenue and Forecast, by End-use (2020-2032)

13.5. Latin America

13.5.1. Market Revenue and Forecast, by Component (2020-2032)

13.5.2. Market Revenue and Forecast, by Deployment (2020-2032)

13.5.3. Market Revenue and Forecast, by Technology (2020-2032)

13.5.4. Market Revenue and Forecast, by Application (2020-2032)

13.5.5. Market Revenue and Forecast, by End-use (2020-2032)

13.5.6. Brazil

13.5.6.1. Market Revenue and Forecast, by Component (2020-2032)

13.5.6.2. Market Revenue and Forecast, by Deployment (2020-2032)

13.5.6.3. Market Revenue and Forecast, by Technology (2020-2032)

13.5.6.4. Market Revenue and Forecast, by Application (2020-2032)

13.5.7. Market Revenue and Forecast, by End-use (2020-2032)

13.5.8. Rest of LATAM

13.5.8.1. Market Revenue and Forecast, by Component (2020-2032)

13.5.8.2. Market Revenue and Forecast, by Deployment (2020-2032)

13.5.8.3. Market Revenue and Forecast, by Technology (2020-2032)

13.5.8.4. Market Revenue and Forecast, by Application (2020-2032)

13.5.8.5. Market Revenue and Forecast, by End-use (2020-2032)

Chapter 14. Company Profiles

14.1. Amazon Web Services, Inc.

14.1.1. Company Overview

14.1.2. Product Offerings

14.1.3. Financial Performance

14.1.4. Recent Initiatives

14.2. IBM Corporation

14.2.1. Company Overview

14.2.2. Product Offerings

14.2.3. Financial Performance

14.2.4. Recent Initiatives

14.3. Microsoft Corporation

14.3.1. Company Overview

14.3.2. Product Offerings

14.3.3. Financial Performance

14.3.4. Recent Initiatives

14.4. Google LLC

14.4.1. Company Overview

14.4.2. Product Offerings

14.4.3. Financial Performance

14.4.4. Recent Initiatives

14.5. Pearson Plc.

14.5.1. Company Overview

14.5.2. Product Offerings

14.5.3. Financial Performance

14.5.4. Recent Initiatives

Chapter 15. Research Methodology

15.1. Primary Research

15.2. Secondary Research

15.3. Assumptions

Chapter 16. Appendix

16.1. About Us

16.2. Glossary of Terms

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