Artificial Intelligence In Education Market Size, Share, Opportunities And Trends By Technology (Deep Learning And Machine Learning, Natural Language Processing), By Application (Virtual Facilitators And Learning Environment, Intelligent Tutoring System, CDS, Fraud And Risk Management), By Component (Solutions, Services), By End-User (Higher Education, K-12 Education, Corporate Learning), By Deployment (On-Premise, Cloud) And By Geography - Forecasts From 2019 To 2024

Published: Mar 2020 | Report Code:  KSI061612924 | Pages:  106

Artificial intelligence (AI), sometimes called machine intelligence, is the ability of a computer program or machine to think and learn. Artificial Intelligence is growing because of its various applications in the education sector which enhances the teacher and student experience and also due to the proliferation of smart devices and the rapid digitalization across the globe. AI uses deep learning, machine learning, and advanced analytics to monitor the student’s learning process such as individual speed and marks obtained in tests. Additionally, it offers personalized tutoring and high- quality education to students by gauging their pre-existing knowledge and learning. The market is expected to be driven by the rise in multilingual translators which are integrated with AI technology. AI is also useful as it gives a customizable learning experience, student path prediction, suggestion of learning path, identification of weakness, and analyzing areas for improvement. However, the lack of skilled employees, high cost of deployment, and the growing risk of data security & leakage due to the rising number of cyber-attacks are hindering artificial intelligence in education market growth. Major companies in the market include IBM, Microsoft, Google, Cognizant, among others.

The “AI in Education Market – Forecasts from 2019 to 2024” is an exhaustive study of this niche technology market which aims to present the key market trends through various chapters focusing on different aspects of the market. The study provides a detailed market overview through the market dynamics sections which detail key market, drivers, restraints, and opportunities in the current market. The report analyzes key opportunity regional markets, and the current technology penetration through lifecycle analysis. The report also analyzes the market through comprehensive market segmentation by technology, application, component, end-user, deployment, model, and geography. 

The AI in Education market has been segmented based on technology, application, component, end-user, deployment, model, and geography. Based on technology the market has been segmented into Deep Learning and Machine Learning, Natural Language Processing (NLP). By application, the market has been classified into Virtual Facilitators and Learning Environment, Intelligent Tutoring System (ITS), CDS, Fraud and Risk Management. By Component, the market has been classified into Solutions and Services. By End-User, the market has been segmented into Higher Education, K-12 Education, and Corporate Learning. By Deployment, the market is classified as On-Premise and Cloud. 

Regional analysis has been provided with detailed analysis and forecast for the period 2018 to 2024. The global market has been broken down into North America, South America, Europe, Middle East and Africa, and the Asia Pacific regions. The report also analyzes 15 countries across these regions with thorough analysis and forecast along with prevailing market trends and opportunities which each of these countries present for the service providers. 

Major players in the AI in education market have been covered along with their relative competitive position and strategies. The report also mentions recent deals and investments of different market players over the last year. The company profiles section details the business overview, financial performance for the past three years, key products and services being offered along with the recent developments of these important players in the AI in education market.


By Technology

Deep Learning and Machine Learning

Natural Language Processing (NLP)


By Application

Virtual Facilitators and Learning Environment

Intelligent Tutoring System (ITS)


Fraud and Risk Management


By Component




By End-User

Higher Education

K-12 Education

Corporate Learning


By Deployment




By Geography

North America





South America






United Kingdom






Middle East and Africa


Saudi Arabia



Asia Pacific



South Korea