Artificial Intelligence In Education Market Size, Share, Opportunities, And Trends By Technology (Deep Learning, Machine Learning, Natural Language Processing, Computer Vision), By Deployment (Cloud, On-premise), By Solution (Software, Services, Hardware), By End-User (Automotives, Communications, Manufacturing, Healthcare, Others) And By Geography - Forecasts From 2024 To 2029

  • Published : Oct 2024
  • Report Code : KSI061612924
  • Pages : 117

Artificial intelligence in the education market is worth US$10.248 billion in 2024. It is projected to exhibit a remarkable CAGR of 33.51%, reaching a market value of US$43.467 billion by 2029.

AI-based solutions and services have various applications in education. These range from delivering knowledge to customizing learning experiences for each student based on their performance. Additionally, AI can be used to strategically deploy adaptive tutorial systems, improving learning solutions and adding better value for both educators and students in the education domain. AI mostly works on deep learning, machine learning, and analytics. Moreover, these solutions provide an interactive learning experience for every learner, guarantee the quality of education, and support learners in advancing their current knowledge and skills.

The market for AI in education is highly fragmented, with most industry players leading with innovations. Key players are expanding their presence in regional and global markets and adopting all strategies to acquire a large portion of the market. These market players include IBM, Microsoft, and Google, among others.

The rise of digital technology, marked by the use of smart devices and digitization across all verticals, is a fundamental driver for this diversification in AI-based education. Furthermore, AI solutions provide individualized learning experiences to meet the requirements of each user. They anticipate students' paths, proffer learning trajectories, pinpoint weaknesses, and leave learners to evaluate their areas in need of improvement. This helps in augmenting student capabilities, which are expected to foster AI in the education market’s growth over the forecast period.

What are the artificial intelligence in education market growth drivers?

  • Increasing investment in AI is anticipated to drive the growth of global AI in the education market.

AI-based Learning platforms are directly related to the investment in AI in the education sector. Its investment helps make education much more advanced and personalized, which is necessary with increasingly effective individualism in learning. AI is changing the way people learn using AI-driven learning platforms. The AI-driven educational platforms will start to remake education, create lifelong learning possibilities, and prove to be the positive growing potential of AI in education.

These efforts include increasing the commitments by countries to bolster the future AI workforce, consistent with a report from Niti Aayog National Strategy for Artificial Intelligence. For example, the UK has set a target to deliver more than 1,000 government-supported PhD researchers by 2025 and has announced Turing fellowships for early AI researchers. China, meanwhile, initiated a university project in April 2018 that ran for five years and educated at least 500 teachers and 5,000 students on AI tech. Further, national governments and corporations are realizing how important AI is and actively investing in its potential.

Moreover, there are rising technological companies and education provider companies developing and advancing AI-based education platforms and solutions for different educational purposes, as well as introducing initiatives to upskill individuals in AI abilities, contributing to the overall market growth in the coming years. For instance, in September 2023, IBM committed to training two million AI learners by the conclusion of 2026, centering on underrepresented communities. The company is extending AI education collaborations with colleges, partnering with accomplices to convey AI training to adult learners, and propelling new generative AI coursework through IBM SkillsBuild. This will grow IBM's existing programs and career-building stages, providing improved access to AI education and in-demand specialized roles. The company's objective is to shut down the worldwide AI abilities crevice.

What are the key geographical trends shaping the artificial intelligence in education market?

  • The North American region is expected to hold a significant artificial intelligence in education market share.

The demand for artificial intelligence in the education market in the North American region is driven by increased investments in AI and EdTech by the public and commercial sectors, along with high edutainment penetration. Further, technological innovation also contributes to promoting the demand for AI in education worldwide. The application of AI in education increases the learning standard for academics and instructors. It offers better accessibility, coaching, automatic grading and administration, and ease of process, amongst other benefits.

Moreover, countries in North America, especially the United States, are increasingly utilizing smart content in schools and educational institutions due to its capability to give insights about learning platforms, which are vital for the teaching sector. The demand for AI-supported, personalized education solutions further accentuates this growth. These solutions assist in understanding students more profoundly, their interests, educational background, and future academic goals, which makes them unable to provide personalized services.

Recent developments in the artificial intelligence in education market

  • August 2023- eSpark, the online supplement curriculum provider, introduced AI-powered phonics practice into foundational reading instruction in the school year. The eSpark Reading Lab utilized sophisticated speech recognition and analysis technologies to deliver comprehensive instruction and practice on specific phonemes. This update furthers the science of reading alignment with eSpark. It brings generative AI benefits to more than 50,000 teachers during the next school year (2023-2024) through personalized activities such as Choice Math, Choice Texts, and an AI-powered writing tutor.
  • August 2023- A multimodal AI model, SeamlessM4T was launched by Meta for voice-to-text translations. It is the first unified multilingual model spanning all translation and transcription tasks, supporting speech-to-text, speech-to-speech, text-to-speech, and text-to-text translation for up to 100 languages. It has speech recognition for nearly 100 languages, with text-to-speech and speech-to-text translation support in nearly 100 input and 36 output languages. SeamlessM4T is largely released to the public under a research license, permitting researchers and developers to build upon this work.
  • June 2023- Microsoft presented an AI Skills Initiative, part of its Skills for Jobs program. The program provides free coursework planned with the assistance of LinkedIn. It also presents challenges through data.org for organizations interested in developing contemporary strategies to educate, upskill, and reskill professionals in generative AI.
  • April 2023- Chegg announced the launch of CheggMate, a learning service powered by the company's new AI platform based on OpenAI's GPT-4 model. Leveraging Chegg's extensive learning content library and its over 150,000 subject matter experts, the service enriches students' learning experience by delivering precise, real-time learning. It utilizes Chegg's extensive student data set and the GPT-4 to provide immediate benefits for students.

Artificial Intelligence In Education Market Scope:

Report Metric Details

AI in Education Market  Size in 2024

US$10.248 billion

AI in Education Market  Size in 2029

US$43.467 billion
Growth Rate CAGR of 33.51%
Study Period 2019 to 2029
Historical Data 2019 to 2022
Base Year 2024
Forecast Period 2024 – 2029
Forecast Unit (Value) USD Billion
Segmentation
  • Technology
  • Deployment
  • Solution
  • End-User
  • Geography
Geographical Segmentation North America, South America, Europe, Middle East and Africa, Asia Pacific

List of Major Companies in AI in Education Market 

  • Intel Corporation
  • Microsoft Corporation
  • Oracle Corporation
  • IBM Corporation
  • NVIDIA Corporation
Customization Scope Free report customization with purchase

 

The Artificial Intelligence In Education market is analyzed into the following segments:

  • By Technology
    • Deep Learning
    • Machine Learning
    • Natural Language Processing
    • Computer Vision
  • By Deployment
    • Cloud
    • On-premise
  • By Solution
    • Software
    • Services
    • Hardware
  • By End-User
    • Automotives
    • Communications
    • Manufacturing
    • Healthcare
    • Others
  • By Geography
    • North America
      • USA
      • Canada              
      • Mexico
    • South America
      • Brazil
      • Argentina
      • Others
    • Europe
      • United Kingdom
      • Germany
      • France
      • Italy
      • Spain
      • Others
    • Middle East and Africa
      • Saudi Arabia
      • UAE
      • Others
    • Asia Pacific
      • China
      • Japan
      • India
      • South Korea
      • Australia
      • Singapore
      • Indonesia
      • Others

Frequently Asked Questions (FAQs)

The global AI in education market is projected to grow at a CAGR of 33.51% over the forecast period.
The AI in education market is projected to reach a market size of US$43.467 billion by 2029.
Artificial Intelligence In Education Market is valued at $10.248 billion in 2024.
North America is predicted to hold the largest share of the AI in education market.
The Investment in artificial intelligence is a catalyst for AI in education market growth.

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 for the stakeholders

2. RESEARCH METHODOLOGY

2.1. Research Design

2.2. Research Process

3. EXECUTIVE SUMMARY

3.1. Key Findings

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. ARTIFICIAL INTELLIGENCE IN EDUCATION MARKET BY TECHNOLOGY

5.1. Introduction

5.2. Deep Learning

5.3. Machine Learning

5.4. Natural Language Processing

5.5. Computer Vision

6. ARTIFICIAL INTELLIGENCE IN EDUCATION MARKET BY DEPLOYMENT

6.1. Introduction

6.2. Cloud

6.3. On-premise

7. ARTIFICIAL INTELLIGENCE IN EDUCATION MARKET BY SOLUTION

7.1. Introduction

7.2. Software 

7.3. Services

7.4. Hardware

8. ARTIFICIAL INTELLIGENCE IN EDUCATION MARKET BY END-USER

8.1. Introduction

8.2. Automotives

8.3. Communications

8.4. Manufacturing

8.5. Healthcare

8.6. Others

9. ARTIFICIAL INTELLIGENCE IN EDUCATION MARKET BY GEOGRAPHY

9.1. Introduction

9.2. North America

9.2.1. By Technology

9.2.2. By Deployment

9.2.3. By Solution

9.2.4. By End-User

9.2.5. By Country

9.2.5.1. USA

9.2.5.2. Canada

9.2.5.3. Mexico

9.3. South America

9.3.1. By Technology

9.3.2. By Deployment

9.3.3. By Solution

9.3.4. By End-User

9.3.5. By Country

9.3.5.1. Brazil

9.3.5.2. Argentina

9.3.5.3. Others

9.4. Europe

9.4.1. By Technology

9.4.2. By Deployment

9.4.3. By Solution

9.4.4. By End-User

9.4.5. By Country

9.4.5.1. United Kingdom

9.4.5.2. Germany

9.4.5.3. France

9.4.5.4. Italy

9.4.5.5. Spain

9.4.5.6. Others

9.5. Middle East and Africa

9.5.1. By Technology

9.5.2. By Deployment

9.5.3. By Solution

9.5.4. By End-User

9.5.5. By Country

9.5.5.1. Saudi Arabia

9.5.5.2. UAE

9.5.5.3. Others

9.6. Asia Pacific

9.6.1. By Technology

9.6.2. By Deployment

9.6.3. By Solution

9.6.4. By End-User

9.6.5. By Country

9.6.5.1. China

9.6.5.2. Japan

9.6.5.3. India

9.6.5.4. South Korea

9.6.5.5. Australia

9.6.5.6. Singapore

9.6.5.7. Indonesia

9.6.5.8. Others

10. COMPETITIVE ENVIRONMENT AND ANALYSIS

10.1. Major Players and Strategy Analysis

10.2. Market Share Analysis

10.3. Mergers, Acquisitions, Agreements, and Collaborations

10.4. Competitive Dashboard

11. COMPANY PROFILES

11.1. Intel Corporation

11.2. Microsoft Corporation

11.3. Oracle Corporation

11.4. IBM Corporation

11.5. NVIDIA Corporation

11.6. People.ai Inc

11.7. Cisco Systems

11.8. Verint Systems

11.9. Salesforce

11.10. Siemens AG


Intel Corporation

Microsoft Corporation

Oracle Corporation

IBM Corporation

NVIDIA Corporation

People.ai Inc

Cisco Systems

Verint Systems

Salesforce

Siemens AG