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Global AI In Education Market Analysis by Technology (Machine Learning, Natural Language Processing (NLP), Robotics, Virtual Reality (VR) and Augmented Reality (AR), Others), By Application (Personalized Learning, Smart Content, Virtual Tutors and Assistants, Administrative Tasks, Predictive Analytics), By End-User (K-12 Schools, Higher Education, Corporate Training, Private Tutors), By Deployment Mode (Cloud-Based, On-Premises) and by Region: Global Forecast, 2024 - 2034.

  • PUBLISHED ON
  • 2024-06-02
  • NO OF PAGES
  • 273
  • CATEGORY
  • Information Communication & Technology

Market Overview

The AI In Education market is predicted to develop at a compound annual growth rate (CAGR) of 32.3% from 2024 to 2034, when it is projected to reach USD 45.64 Billion, based on an average growth pattern. The market is estimated to reach a value of USD 2.77 Billion in 2024.

 

SOURCE: We Market Research

AI in education improves learning outcomes by personalizing experiences, automating processes, and offering data-driven insights. It offers adaptive learning, in which content is tailored to individual student needs, and automates grading, saving educators time. AI-powered products such as virtual tutors, chatbots, and assistive technologies benefit both students and educators. It also helps with content production, language learning, and special education. By evaluating student data, AI provides significant insights into learning patterns and results, allowing educators to make more educated judgments. Overall, artificial intelligence tries to make educational environments more effective, efficient, and inclusive.

The global AI in education market is driven by the demand for personalized learning, in which AI tailors information to individual needs, as well as the growing adoption of EdTech, which is being accelerated by remote learning trends. AI improves administrative efficiency by automating activities and facilitating data-driven decision-making, while also providing teachers with AI-assisted tools. Government investments and policies encourage AI integration in education. The rise of intelligent tutoring systems, lifelong learning, and the integration of AI with technologies such as VR/AR all help to accelerate growth. Furthermore, AI helps to increase global access to education, making it an important role in the future of education.

Market Scope

Report Attributes

Description

Market Size in 2024

USD 2.77 Billion

Market Forecast in 2034

USD 45.64 Billion

CAGR % 2024-2034

32.3%

Base Year

2023

Historic Data

2016-2022

Forecast Period

2024-2034

Report USP

 

Production, Consumption, company share, company heatmap, company production capacity, growth factors and more

Segments Covered

By Technology, By Application, By End-User, By Deployment Mode and By Region

Regional Scope

North America, Europe, APAC, South America and Middle East and Africa

Country Scope

U.S.; Canada; U.K.; Germany; France; Italy; Spain; Benelux; Nordic Countries; Russia; China; India; Japan; South Korea; Australia; Indonesia; Thailand; Mexico; Brazil; Argentina; Saudi Arabia; UAE; Egypt; South Africa; Nigeria

AI In Education Industry: Dynamics & Restrains:


Market opportunity:


We Market Research: AI In Education Dashboard

Our marketing platform offers a comprehensive dashboard that provides clients with valuable insights into market trends over the years. Included below is a sample image of our dashboard, and specific PDF logins will be furnished to grant access to this insightful tool.


AI In Education Segmentation

Market- By Technology Analysis

By Technology, the AI In Education Market is Categories into Machine Learning, Natural Language Processing (NLP), Robotics, Virtual Reality (VR) and Augmented Reality (AR), Others. The Machine Learning segment accounts for the largest share of around 47% in 2024.


Machine Learning segment dominate the market because of its broad applicability in various educational technologies. It is used for adaptive learning platforms, personalized learning experiences, predictive analytics, and automated grading systems. Machine Learning's ability to analyze large datasets and improve over time makes it a critical technology in educational applications.

The following segments are part of an in-depth analysis of the global AI In Education market:

Market Segments

 

By Application

·         Personalized Learning

·         Smart Content

·         Virtual Tutors and Assistants

·         Administrative Tasks

·         Predictive Analytics

By End-User

·         K-12 Schools

·         Higher Education

·         Corporate Training

·         Private Tutors

By Deployment Mode

·         Cloud-Based

·         On-Premises

AI In Education Industry: Regional Analysis

North America Market Forecast

North America dominates the AI In Education Market with the highest revenue generating market with share of more than 48%. North America leads due to early technology adoption and substantial investments in AI for education. Governments and private sectors actively support AI integration to enhance educational outcomes. Advanced infrastructure and high digital literacy further drive the market. However, high implementation costs and concerns over data privacy can be obstacles, impacting the pace of adoption despite the overall positive trend.


Europe Market Statistics

Europe's growth is propelled by government-led initiatives aimed at integrating AI into educational systems to improve learning experiences and outcomes. There is a strong focus on enhancing education quality and personalizing learning. The diverse regulatory landscape and fragmented market due to multiple languages and varied education systems pose challenges, but the overall push for digital transformation supports growth.

Asia Pacific Market Forecasts

Asia Pacific is expected to be the fastest-growing regional segment of the AI In Education market during the forecast period. Asia-Pacific is rapidly expanding due to digital transformation, significant investments in AI technology, and a vast student population demanding innovative educational solutions. Countries like China and India are driving growth through substantial funding and adoption of AI tools. Challenges include uneven infrastructure development and a digital divide, which can limit the reach of AI solutions in less developed areas.

Key Market Players

The AI In Education Market is dominated by a few large companies, such as

·         IBM 

·         Microsoft

·         Bridge-U

·         DreamBox Learning

·         Fishtree

·         Jellynote

·         Jenzabar 

·         Knewton

·         Metacog

·         Querium Corporation

·         Google

·         Cognizant

·         Others                                                                                                             

1.      Global AI In Education Market Introduction and Market Overview

1.1.    Objectives of the Study

1.2.    Global AI In Education Market Scope and Market Estimation

1.2.1. Global AI In Education Overall Market Size, Revenue (US$ Mn), Market CAGR (%), Market forecast (2023 - 2034)

1.2.2. Global AI In Education Market Revenue Share (%) and Growth Rate (Y-o-Y) from 2019 - 2034

1.3.    Market Segmentation

1.3.1. Technology of Global AI In Education Market

1.3.2. Application of Global AI In Education Market

1.3.3. End-user of Global AI In Education Market

1.3.4. Deployment Mode of Global AI In Education Market

1.3.5. Region of Global AI In Education Market

2.      Executive Summary

2.1.    Market Dynamics

2.1.1. Drivers

2.1.2. Limitations

2.1.3. Opportunities

2.1.4. Impact Analysis of Drivers and Restraints

2.2.    Pricing Trends Analysis & Average Selling Prices (ASPs)

2.3.    Key Mergers & Acquisitions, Expansions, JVs, Funding / VCs, etc.

2.4.    Porter’s Five Forces Analysis

2.4.1. Bargaining Power of Suppliers

2.4.2. Bargaining Power of Buyers

2.4.3. Threat of Substitutes

2.4.4. Threat of New Entrants

2.4.5. Competitive Rivalry

2.5.      Market Investment Opportunity Analysis (Top Investment Pockets), By Segments & By Region

3.      Global AI In Education Market Estimates & Historical Trend Analysis (2019 - 2023)

4.      Global AI In Education Market Estimates & Forecast Trend Analysis, by Technology

4.1.    Global AI In Education Market Revenue (US$ Mn) Estimates and Forecasts, by Technology, 2019 to 2034

4.1.1. Machine Learning

4.1.2. Natural Language Processing (NLP)

4.1.3. Robotics

4.1.4. Virtual Reality (VR) and Augmented Reality (AR)

4.1.5. Others

5.      Global AI In Education Market Estimates & Forecast Trend Analysis, by Application

5.1.    Global AI In Education Market Revenue (US$ Mn) Estimates and Forecasts, by Application, 2019 to 2034

5.1.1. Personalized Learning

5.1.2. Smart Content

5.1.3. Virtual Tutors and Assistants

5.1.4. Administrative Tasks

5.1.5. Predictive Analytics

6.      Global AI In Education Market Estimates & Forecast Trend Analysis, by End-user

6.1.    Global AI In Education Market Revenue (US$ Mn) Estimates and Forecasts, by End-user, 2019 to 2034

6.1.1. K-12 Schools

6.1.2. Higher Education

6.1.3. Corporate Training

6.1.4. Private Tutors

7.      Global AI In Education Market Estimates & Forecast Trend Analysis, by Deployment Mode

7.1.    Global AI In Education Market Revenue (US$ Mn) Estimates and Forecasts, by Deployment Mode, 2019 to 2034

7.1.1. Cloud-Based

7.1.2. On-Premises

8.      Global AI In Education Market Estimates & Forecast Trend Analysis, by Region

8.1.    Global AI In Education Market Revenue (US$ Mn) Estimates and Forecasts, by region, 2019 to 2034

8.1.1. North America

8.1.2. Europe

8.1.3. Asia Pacific

8.1.4. Middle East & Africa

8.1.5. South America

9.      North America AI In Education Market: Estimates & Forecast Trend Analysis

9.1.    North America AI In Education Market Assessments & Key Findings

9.1.1. North America AI In Education Market Introduction

9.1.2. North America AI In Education Market Size Estimates and Forecast (US$ Million) (2019 – 2034)

9.1.2.1.   By Technology

9.1.2.2.   By Application

9.1.2.3.   By End-user

9.1.2.4.   By Deployment Mode

9.1.2.5.   By Country

9.1.2.5.1.     The U.S.

9.1.2.5.2.     Canada

9.1.2.5.3.     Mexico

10.  Europe AI In Education Market: Estimates & Forecast Trend Analysis

10.1.  Europe AI In Education Market Assessments & Key Findings

10.1.1.   Europe AI In Education Market Introduction

10.1.2.   Europe AI In Education Market Size Estimates and Forecast (US$ Million) (2019 – 2034)

10.1.2.1.    By Technology

10.1.2.2.    By Application

10.1.2.3.    By End-user

10.1.2.4.    By Deployment Mode

10.1.2.5.    By Country

10.1.2.5.1. Germany

10.1.2.5.2. U.K.

10.1.2.5.3. France

10.1.2.5.4. Italy

10.1.2.5.5. Spain

10.1.2.5.6. Russia

10.1.2.5.7. Rest of Europe

11.  Asia Pacific AI In Education Market: Estimates & Forecast Trend Analysis

11.1.  Asia Pacific Market Assessments & Key Findings

11.1.1.   Asia Pacific AI In Education Market Introduction

11.1.2.   Asia Pacific AI In Education Market Size Estimates and Forecast (US$ Million) (2019 – 2034)

11.1.2.1.    By Technology

11.1.2.2.    By Application

11.1.2.3.    By End-user

11.1.2.4.    By Deployment Mode

11.1.2.5.    By Country

11.1.2.5.1. China

11.1.2.5.2. Japan

11.1.2.5.3. India

11.1.2.5.4. Australia

11.1.2.5.5. South Korea

11.1.2.5.6. ASEAN

11.1.2.5.7. Rest of Asia Pacific

12.  Middle East & Africa AI In Education Market: Estimates & Forecast Trend Analysis

12.1.  Middle East & Africa Market Assessments & Key Findings

12.1.1.   Middle East & Africa AI In Education Market Introduction

12.1.2.   Middle East & Africa AI In Education Market Size Estimates and Forecast (US$ Million) (2019 – 2034)

12.1.2.1.    By Technology

12.1.2.2.    By Application

12.1.2.3.    By End-user

12.1.2.4.    By Deployment Mode

12.1.2.5.    By Country

12.1.2.5.1. U.A.E.

12.1.2.5.2. Saudi Arabia

12.1.2.5.3. Egypt

12.1.2.5.4. South Africa

12.1.2.5.5. Rest of Middle East & Africa

13.  South America AI In Education Market: Estimates & Forecast Trend Analysis

13.1.  South America Market Assessments & Key Findings

13.1.1.   South America AI In Education Market Introduction

13.1.2.   South America AI In Education Market Size Estimates and Forecast (US$ Million) (2019 – 2034)

13.1.2.1.    By Technology

13.1.2.2.    By Application

13.1.2.3.    By End-user

13.1.2.4.    By Deployment Mode

13.1.2.5.    By Country

13.1.2.5.1. Brazil

13.1.2.5.2. Argentina

13.1.2.5.3. Colombia

13.1.2.5.4. Rest of South America

14.  Competition Landscape

14.1.  Global AI In Education Market Competition Matrix & Benchmarking, by Leading Players / Innovators / Emerging Players / New Entrants

14.2.  Global AI In Education Market Competition White Space Analysis, By End-user

14.3.  Global AI In Education Market Competition Heat Map Analysis, By End-user

14.4.  Global AI In Education Market Concentration & Company Market Shares (%) Analysis, 2022

15.  Company Profiles

15.1.                     IBM

15.1.1.   Company Overview & Key Stats

15.1.2.   Financial Performance & KPIs

15.1.3.   Product Portfolio

15.1.4.   Business Strategy & Recent Developments

* Similar details would be provided for all the players mentioned below 

15.2.      Microsoft

15.3.      Bridge-U

15.4.      DreamBox Learning

15.5.      Fishtree

15.6.      Jellynote

15.7.      Jenzabar 

15.8.      Knewton

15.9.      Metacog

15.10.  Querium Corporation

15.11.  Google

15.12.  Cognizant

15.13.  Others

16.  Research Methodology

16.1.  External Transportations / Databases

16.2.  Internal Proprietary Database

16.3.  Primary Research

16.4.  Secondary Research

16.5.  Assumptions

16.6.  Limitations

16.7.  Report FAQs

17.  Research Findings & Conclusion 

Quality Assurance Process

  1. We Market Research’s Quality Assurance program strives to deliver superior value to our clients.

We Market Research senior executive is assigned to each consulting engagement and works closely with the project team to deliver as per the clients expectations.

Market Research Process




We Market Research monitors 3 important attributes during the QA process- Cost, Schedule & Quality. We believe them as a critical benchmark in achieving a project’s success.

To mitigate risks that can impact project success, we deploy the follow project delivery best practices:
  • Project kickoff meeting with client
  • Conduct frequent client communications
  • Form project steering committee
  • Assign a senior SR executive as QA Executive
  • Conduct internal editorial & quality reviews of project deliverables
  • Certify project staff in SR methodologies & standards
  • Monitor client satisfaction
  • Monitor realized value post-project

Case Study- Automotive Sector

One of the key manufacturers of automotive had plans to invest in electric utility vehicles. The electric cars and associated markets being a of evolving nature, the automotive client approached We Market Research for a detailed insight on the market forecasts. The client specifically asked for competitive analysis, regulatory framework, regional prospects studied under the influence of drivers, challenges, opportunities, and pricing in terms of revenue and sales (million units).

Solution

The overall study was executed in three stages, intending to help the client meet its objective of precisely understanding the entire market before deciding on an investment. At first, secondary research was conducted considering political, economic, social, and technological parameters to get a gist of the various aspects of the market. This stage of the study concluded with the derivation of drivers, opportunities, and challenges. It also laid substantial emphasis on understanding and collecting data not only on a global scale but also on the regional and country levels. Data Extraction through Primary Research

The second stage involved primary research in which several market players and automotive parts suppliers were contacted to study their viewpoint concerning the development of their market and production capacity, clientele, and product line. This stage concluded in a brief understanding of the competitive ecosystem and also glanced through the strategies and pricing of the companies profiled.

Market Estimates and Forecast

In the final stage of the study, market forecasts for the electric utility were derived using multiple market engineering approaches. This data helped the client to get an overview of the market and accelerate the process of investment.

Case Study- ICT Sector

Business process outsourcing, being one of the lucrative markets from both supply- and demand- side, has appealed to various companies. One of the prominent corporations based out of Japan approached us with their requirements regarding the scope of the procurement outsourcing market for around 50 countries. Additionally, the client also sought key players operating in the market and their revenue breakdown in terms of region and application.


Business Solution

An exhaustive market study was conducted based on primary and secondary research that involved factors such as labor costs in various countries, skilled and technical labors, manufacturing scenario, and their respective contributions in the global GDP. A comparative study of the market was conducted from both supply- and demand side, with the supply-side comprising of notable companies, such as GEP, Accenture, and others, that provide these services. On the other hand, large manufacturing companies from them demand-side were considered that opt for these services.


Conclusion

The report aided the client in understanding the market trends, including country-level business scenarios, consumer behavior, and trends in 50 countries. The report also provided financial insights of crucial players and detailed market estimations and forecasts till 2033.

Frequently Asked Questions

What is the market size of AI In Education Market in 2024?

AI In Education Market was valued at USD 2.77 Billion in 2024.

What is the growth rate for the AI In Education Market?

AI In Education Market size will increase at approximate CAGR of 32.3% during the forecasted period.

Which are the top companies operating within the market?

Major companies operating within the AI In Education Market Are IBM, Microsoft, Bridge-U, DreamBox Learning, Fishtree, Jellynote, Jenzabar, Knewton, Metacog, Querium Corporation, Google, Cognizant and Others.

Which region dominates the AI In Education Market?

North America dominates the market with an active share of 48%.

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