Global Artificial Intelligence in Education Market By Component (Solutions, Services); By Deployment Mode (Cloud, On-Premises); By Technology (Machine Learning, Deep Learning, Natural Learning Process (NLP)); By Model (Pedagogical Model, Domain Model, Student Model); By Application (Intelligent Tutoring Systems, Learning Platform and Virtual Facilitators, Content Delivery Systems, Smart Content, Interactive Websites,); By End-User (Higher Education, K-12 Education, Corporate Learning); By Region (U.S., Canada, Mexico, Rest of North America, France, The UK, Spain, Germany, Italy, Nordic Countries, Benelux Union, Rest of Europe, China, Japan, India, New Zealand, Australia, South Korea, Southeast Asia, Rest of Asia Pacific, Saudi Arabia, UAE, Egypt, Kuwait, South Africa, Rest of Middle East & Africa, Brazil, Argentina, Rest of Latin America) – Global Insights, Growth, Size, Comparative Analysis, Trends and Forecast, 2019 – 2027

Report ID :AMI-195 | Category : Information And Communication Technology | Published Date : March, 2019 | Pages : 402 | Format :PDF
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Industry Trends

Artificial Intelligence (AI) has influenced the education system and has radically changed its dynamics. The technology is providing huge assistance in automating basic education activities. The time saved from automating these elementary activities for instance, grading, attendance and mundane administrative jobs can be redirected for better interaction with students. Adaptive learning is another aspect where AI has proved to be of great assistance. The solution providers operating in the artificial intelligence in education market are keen on individualizing learning by emphasizing on topics in which the students need improvement. This level of differentiation and respective customization is proving helpful for students with different cognitive abilities. The courses further is upgraded according to the progress of the learners by the use of artificial intelligence in education. The technology helps in understanding the gap in teaching and the lesson objective. Feedback system too is undergoing a huge transformation for both teachers and students. AI has enabled tracking each student’s progress without tutor’s attention being divided.

The data gathered by this technology is offering unique insights which are leading to total transfiguration. University of Oklahoma, a crucial example, has witnessed a drastic fall in the number of higher education students returning for sophomore year in college. The university worked with IBM and analyzed unstructured data using AI, like student essays. This helped in assessing the tone of language, personality insights, and natural language classification. The university identified students with potential risk of dropout and counseled them to continue their education. The outcome of the project was highly positive, wherein the retention rate climbed from 64.2% to 86.1%. Artificial intelligence in education is performing and assisting in activities and is transforming the role of a teacher into a facilitator and learning motivator. The global artificial intelligence in education market is expected to surpass US$ 4,340 million by 2027, growing at a CAGR of 31%. The study presents detailed analysis of the market for all major countries across the globe

Global Artificial Intelligence in Education Market Revenue (US$ Million),2015 2027

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Competitive Landscape

The report provides both, qualitative and quantitative research of global artificial intelligence in education market, as well as provides worthy insights into the rational scenario and favored development methods adopted by key contenders. The report also offers extensive research on the key players in global artificial intelligence in education market and detailed insights on the competitiveness of these players. Key business strategies such as mergers and acquisitions (M&A), affiliations, collaborations, and contracts adopted by the major players are also recognized and analyzed in the report. For each company, the report recognizes their headquarters, competitors, product/service type, application and specification, pricing, and gross margin.

 The primary market participants in the global artificial intelligence in education market include Amazon Web Services, Inc., Blackboard Inc., Brainly, BridgeU, Carnegie Learning, Inc., Century-Tech Limited, Content Technologies, Inc., DREAMBOX LEARNING, ELEMENTAL PATH, Fishtree, IBM, Knewton, Inc., Metacog, Inc., Microsoft, Netex Knowledge Factory, Prazas Learning Inc., Quantum Adaptive Learning, LLC, Querium Corporation, Volley amongst  others

Global Artificial Intelligence in Education Market

By Component

  • Solutions
  • Platform
  • Tools
  • Services
  • Professional Services
  • Managed Services

By Deployment Mode

  • Cloud
  • On-Premises

By Technology

  • Machine Learning
  • Deep Learning
  • Natural Learning Process (NLP).

By Model

  • Pedagogical Model
  • Domain Model
  • Student Model

By Application 

  • Intelligent Tutoring Systems
  • Learning Platform and Virtual Facilitators
  • Content Delivery Systems
  • Smart Content
  • Interactive Websites

By End-Use 

  • Higher Education
  • K-12 Education
  • Corporate Learning

By Region

  • North America
    • U.S.
    • Canada
    • Mexico
    • Rest of North America
  • Europe
    • France
    • The UK
    • Spain
    • Germany
    • Italy
    • Nordic Countries
      • Denmark
      • Finland
      • Iceland
      • Sweden
      • Norway
    • Benelux Union
      • Belgium
      • The Netherlands
      • Luxembourg
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • India
    • New Zealand
    • Australia
    • South Korea
    • Southeast Asia
      • Indonesia
      • Thailand
      • Malaysia
      • Singapore
      • Rest of Southeast Asia
    • Rest of Asia Pacific
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Egypt
    • Kuwait
    • South Africa
    • Rest of Middle East & Africa
  • Latin America
    • Brazil
    • Argentina
    • Rest of Latin America

Key Questions

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Table of Contents

 


1.    Market Scope

1.1. Market Segmentation

1.2. Years Considered

1.2.1. Historic Years: 2013 - 2017

1.2.2. Base Year: 2018

1.2.3. Forecast Years: 2019 – 2027

2.    Key Target Audiences

3.    Research Methodology

3.1. Primary Research

3.1.1. Research Questionnaire

3.1.2. Global Percentage Breakdown

3.1.3. Primary Interviews: Key Opinion Leaders (KOLs)

3.2. Secondary Research

3.2.1. Paid Databases

3.2.2. Secondary Sources

3.3. Market Size Estimates

3.3.1. Top-Down Approach

3.3.2. Bottom-Up Approach

3.4. Data Triangulation Methodology

3.5. Research Assumptions

4.    Recommendations and Insights from AMI’s Perspective**

5.    Holistic Overview of Artificial Intelligence in Education Market

6.    Market Synopsis:  Artificial Intelligence in Education Market

7.    Artificial Intelligence in Education Market Analysis: Qualitative Perspective

7.1. Introduction

7.1.1. Product Definition

7.1.2. Industry Development

7.2. Market Dynamics

7.2.1. Drivers

7.2.2. Restraints

7.2.3. Opportunities

7.2.4. Challenges

7.3. Trends in Artificial Intelligence in Education Market

7.4. Market Determinants Radar Chart

7.5. Macro-Economic and Micro-Economic Indicators: Artificial Intelligence in Education Market

7.6. Industry Gross Margin Overview

7.7. Porter’s Five Force Analysis

8.    Global Artificial Intelligence in Education Market Analysis and Forecasts, 2019 – 2027

8.1. Overview

8.1.1. Global Artificial Intelligence in Education Market Revenue (US$ Mn)

8.2. Global Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Deployment

8.2.1. Cloud-based

8.2.1.1.    Definition

8.2.1.2.    Market Penetration, 2018

8.2.1.3.    Market Estimation, 2013 – 2018

8.2.1.4.    Market Forecast, 2019 – 2027

8.2.1.5.    Compound Annual Growth Rate (CAGR)

8.2.1.6.    Regional Bifurcation

8.2.1.6.1.    North America

8.2.1.6.1.1. Market Estimation, 2013 – 2018

8.2.1.6.1.2. Market Forecast, 2019 – 2027

8.2.1.6.2.    Europe

8.2.1.6.2.1. Market Estimation, 2013 – 2018

8.2.1.6.2.2. Market Forecast, 2019 – 2027

8.2.1.6.3.    Asia Pacific

8.2.1.6.3.1. Market Estimation, 2013 – 2018

8.2.1.6.3.2. Market Forecast, 2019 – 2027

8.2.1.6.4.    Middle East and Africa

8.2.1.6.4.1. Market Estimation, 2013 – 2018

8.2.1.6.4.2. Market Forecast, 2019 – 2027

8.2.1.6.5.    Latin America

8.2.1.6.5.1. Market Estimation, 2013 – 2018

8.2.1.6.5.2. Market Forecast, 2019 – 2027

8.2.2. On-premise

8.2.2.1.    Definition

8.2.2.2.    Market Penetration, 2018

8.2.2.3.    Market Estimation, 2013 – 2018

8.2.2.4.    Market Forecast, 2019 – 2027

8.2.2.5.    Compound Annual Growth Rate (CAGR)

8.2.2.6.    Regional Bifurcation

8.2.2.6.1.    North America

8.2.2.6.1.1. Market Estimation, 2013 – 2018

8.2.2.6.1.2. Market Forecast, 2019 – 2027

8.2.2.6.2.    Europe

8.2.2.6.2.1. Market Estimation, 2013 – 2018

8.2.2.6.2.2. Market Forecast, 2019 – 2027

8.2.2.6.3.    Asia Pacific

8.2.2.6.3.1. Market Estimation, 2013 – 2018

8.2.2.6.3.2. Market Forecast, 2019 – 2027

8.2.2.6.4.    Middle East and Africa

8.2.2.6.4.1. Market Estimation, 2013 – 2018

8.2.2.6.4.2. Market Forecast, 2019 – 2027

8.2.2.6.5.    Latin America

8.2.2.6.5.1. Market Estimation, 2013 – 2018

8.2.2.6.5.2. Market Forecast, 2019 – 2027

8.3. Key Segment for Channeling Investments

8.3.1. By Deployment

9.    Global Artificial Intelligence in Education Market Analysis and Forecasts, 2019 – 2027

9.1. Overview

9.2. Global Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Component

9.2.1. Solution

9.2.1.1.    Definition

9.2.1.2.    Market Penetration, 2018

9.2.1.3.    Market Estimation, 2013 – 2018

9.2.1.4.    Market Forecast, 2019 – 2027

9.2.1.5.    Compound Annual Growth Rate (CAGR)

9.2.1.6.    Regional Bifurcation

9.2.1.6.1.    North America

9.2.1.6.1.1. Market Estimation, 2013 – 2018

9.2.1.6.1.2. Market Forecast, 2019 – 2027

9.2.1.6.2.    Europe

9.2.1.6.2.1. Market Estimation, 2013 – 2018

9.2.1.6.2.2. Market Forecast, 2019 – 2027

9.2.1.6.3.    Asia Pacific

9.2.1.6.3.1. Market Estimation, 2013 – 2018

9.2.1.6.3.2. Market Forecast, 2019 – 2027

9.2.1.6.4.    Middle East and Africa

9.2.1.6.4.1. Market Estimation, 2013 – 2018

9.2.1.6.4.2. Market Forecast, 2019 – 2027

9.2.1.6.5.    Latin America

9.2.1.6.5.1. Market Estimation, 2013 – 2018

9.2.1.6.5.2. Market Forecast, 2019 – 2027

9.2.2. Services

9.2.2.1.    Definition

9.2.2.2.    Market Penetration, 2018

9.2.2.3.    Market Estimation, 2013 – 2018

9.2.2.4.    Market Forecast, 2019 – 2027

9.2.2.5.    Compound Annual Growth Rate (CAGR)

9.2.2.6.    Regional Bifurcation

9.2.2.6.1.    North America

9.2.2.6.1.1. Market Estimation, 2013 – 2018

9.2.2.6.1.2. Market Forecast, 2019 – 2027

9.2.2.6.2.    Europe

9.2.2.6.2.1. Market Estimation, 2013 – 2018

9.2.2.6.2.2. Market Forecast, 2019 – 2027

9.2.2.6.3.    Asia Pacific

9.2.2.6.3.1. Market Estimation, 2013 – 2018

9.2.2.6.3.2. Market Forecast, 2019 – 2027

9.2.2.6.4.    Middle East and Africa

9.2.2.6.4.1. Market Estimation, 2013 – 2018

9.2.2.6.4.2. Market Forecast, 2019 – 2027

9.2.2.6.5.    Latin America

9.2.2.6.5.1. Market Estimation, 2013 – 2018

9.2.2.6.5.2. Market Forecast, 2019 – 2027

9.3. Key Segment for Channeling Investments

9.3.1. By Component

10. Global Artificial Intelligence in Education Market Analysis and Forecasts, 2019 – 2027

10.1. Overview

10.2. Global Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Technology

10.2.1. Natural Processing Language

10.2.1.1.  Definition

10.2.1.2.  Market Penetration, 2018

10.2.1.3.  Market Estimation, 2013 – 2018

10.2.1.4.  Market Forecast, 2019 – 2027

10.2.1.5.  Compound Annual Growth Rate (CAGR)

10.2.1.6.  Regional Bifurcation

10.2.1.6.1.  North America

10.2.1.6.1.1. Market Estimation, 2013 – 2018

10.2.1.6.1.2. Market Forecast, 2019 – 2027

10.2.1.6.2.  Europe

10.2.1.6.2.1. Market Estimation, 2013 – 2018

10.2.1.6.2.2. Market Forecast, 2019 – 2027

10.2.1.6.3.  Asia Pacific

10.2.1.6.3.1. Market Estimation, 2013 – 2018

10.2.1.6.3.2. Market Forecast, 2019 – 2027

10.2.1.6.4.  Middle East and Africa

10.2.1.6.4.1. Market Estimation, 2013 – 2018

10.2.1.6.4.2. Market Forecast, 2019 – 2027

10.2.1.6.5.  Latin America

10.2.1.6.5.1. Market Estimation, 2013 – 2018

10.2.1.6.5.2. Market Forecast, 2019 – 2027

10.2.2. Machine Learning

10.2.2.1.  Definition

10.2.2.2.  Market Penetration, 2018

10.2.2.3.  Market Estimation, 2013 – 2018

10.2.2.4.  Market Forecast, 2019 – 2027

10.2.2.5.  Compound Annual Growth Rate (CAGR)

10.2.2.6.  Regional Bifurcation

10.2.2.6.1.  North America

10.2.2.6.1.1. Market Estimation, 2013 – 2018

10.2.2.6.1.2. Market Forecast, 2019 – 2027

10.2.2.6.2.  Europe

10.2.2.6.2.1. Market Estimation, 2013 – 2018

10.2.2.6.2.2. Market Forecast, 2019 – 2027

10.2.2.6.3.  Asia Pacific

10.2.2.6.3.1. Market Estimation, 2013 – 2018

10.2.2.6.3.2. Market Forecast, 2019 – 2027

10.2.2.6.4.  Middle East and Africa

10.2.2.6.4.1. Market Estimation, 2013 – 2018

10.2.2.6.4.2. Market Forecast, 2019 – 2027

10.2.2.6.5.  Latin America

10.2.2.6.5.1. Market Estimation, 2013 – 2018

10.2.2.6.5.2. Market Forecast, 2019 – 2027

10.2.3. Deep Learning

10.2.3.1.  Definition

10.2.3.2.  Market Penetration, 2018

10.2.3.3.  Market Estimation, 2013 – 2018

10.2.3.4.  Market Forecast, 2019 – 2027

10.2.3.5.  Compound Annual Growth Rate (CAGR)

10.2.3.6.  Regional Bifurcation

10.2.3.6.1.  North America

10.2.3.6.1.1. Market Estimation, 2013 – 2018

10.2.3.6.1.2. Market Forecast, 2019 – 2027

10.2.3.6.2.  Europe

10.2.3.6.2.1. Market Estimation, 2013 – 2018

10.2.3.6.2.2. Market Forecast, 2019 – 2027

10.2.3.6.3.  Asia Pacific

10.2.3.6.3.1. Market Estimation, 2013 – 2018

10.2.3.6.3.2. Market Forecast, 2019 – 2027

10.2.3.6.4.  Middle East and Africa

10.2.3.6.4.1. Market Estimation, 2013 – 2018

10.2.3.6.4.2. Market Forecast, 2019 – 2027

10.2.3.6.5.  Latin America

10.2.3.6.5.1. Market Estimation, 2013 – 2018

10.2.3.6.5.2. Market Forecast, 2019 – 2027

10.3. Key Segment for Channeling Investments

10.3.1. By Technology

11. Global Artificial Intelligence in Education Market Analysis and Forecasts, 2019 – 2027

11.1. Overview

11.2. Global Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Type

11.2.1. K-12

11.2.1.1.  Definition

11.2.1.2.  Market Penetration, 2018

11.2.1.3.  Market Estimation, 2013 – 2018

11.2.1.4.  Market Forecast, 2019 – 2027

11.2.1.5.  Compound Annual Growth Rate (CAGR)

11.2.1.6.  Regional Bifurcation

11.2.1.6.1.  North America

11.2.1.6.1.1. Market Estimation, 2013 – 2018

11.2.1.6.1.2. Market Forecast, 2019 – 2027

11.2.1.6.2.  Europe

11.2.1.6.2.1. Market Estimation, 2013 – 2018

11.2.1.6.2.2. Market Forecast, 2019 – 2027

11.2.1.6.3.  Asia Pacific

11.2.1.6.3.1. Market Estimation, 2013 – 2018

11.2.1.6.3.2. Market Forecast, 2019 – 2027

11.2.1.6.4.  Middle East and Africa

11.2.1.6.4.1. Market Estimation, 2013 – 2018

11.2.1.6.4.2. Market Forecast, 2019 – 2027

11.2.1.6.5.  Latin America

11.2.1.6.5.1. Market Estimation, 2013 – 2018

11.2.1.6.5.2. Market Forecast, 2019 – 2027

11.2.2. Higher Education

11.2.2.1.  Definition

11.2.2.2.  Market Penetration, 2018

11.2.2.3.  Market Estimation, 2013 – 2018

11.2.2.4.  Market Forecast, 2019 – 2027

11.2.2.5.  Compound Annual Growth Rate (CAGR)

11.2.2.6.  Regional Bifurcation

11.2.2.6.1.  North America

11.2.2.6.1.1. Market Estimation, 2013 – 2018

11.2.2.6.1.2. Market Forecast, 2019 – 2027

11.2.2.6.2.  Europe

11.2.2.6.2.1. Market Estimation, 2013 – 2018

11.2.2.6.2.2. Market Forecast, 2019 – 2027

11.2.2.6.3.  Asia Pacific

11.2.2.6.3.1. Market Estimation, 2013 – 2018

11.2.2.6.3.2. Market Forecast, 2019 – 2027

11.2.2.6.4.  Middle East and Africa

11.2.2.6.4.1. Market Estimation, 2013 – 2018

11.2.2.6.4.2. Market Forecast, 2019 – 2027

11.2.2.6.5.  Latin America

11.2.2.6.5.1. Market Estimation, 2013 – 2018

11.2.2.6.5.2. Market Forecast, 2019 – 2027

11.2.3. Corporate Training

11.2.3.1.  Definition

11.2.3.2.  Market Penetration, 2018

11.2.3.3.  Market Estimation, 2013 – 2018

11.2.3.4.  Market Forecast, 2019 – 2027

11.2.3.5.  Compound Annual Growth Rate (CAGR)

11.2.3.6.  Regional Bifurcation

11.2.3.6.1.  North America

11.2.3.6.1.1. Market Estimation, 2013 – 2018

11.2.3.6.1.2. Market Forecast, 2019 – 2027

11.2.3.6.2.  Europe

11.2.3.6.2.1. Market Estimation, 2013 – 2018

11.2.3.6.2.2. Market Forecast, 2019 – 2027

11.2.3.6.3.  Asia Pacific

11.2.3.6.3.1. Market Estimation, 2013 – 2018

11.2.3.6.3.2. Market Forecast, 2019 – 2027

11.2.3.6.4.  Middle East and Africa

11.2.3.6.4.1. Market Estimation, 2013 – 2018

11.2.3.6.4.2. Market Forecast, 2019 – 2027

11.2.3.6.5.  Latin America

11.2.3.6.5.1. Market Estimation, 2013 – 2018

11.2.3.6.5.2. Market Forecast, 2019 – 2027

11.3. Key Segment for Channeling Investments

11.3.1. By Type

12. Global Artificial Intelligence in Education Market Analysis and Forecasts, 2019 – 2027

12.1. Overview

12.2. Global Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Application

12.2.1. Intelligent Tutoring System

12.2.1.1.  Definition

12.2.1.2.  Market Penetration, 2018

12.2.1.3.  Market Estimation, 2013 – 2018

12.2.1.4.  Market Forecast, 2019 – 2027

12.2.1.5.  Compound Annual Growth Rate (CAGR)

12.2.1.6.  Regional Bifurcation

12.2.1.6.1.  North America

12.2.1.6.1.1. Market Estimation, 2013 – 2018

12.2.1.6.1.2. Market Forecast, 2019 – 2027

12.2.1.6.2.  Europe

12.2.1.6.2.1. Market Estimation, 2013 – 2018

12.2.1.6.2.2. Market Forecast, 2019 – 2027

12.2.1.6.3.  Asia Pacific

12.2.1.6.3.1. Market Estimation, 2013 – 2018

12.2.1.6.3.2. Market Forecast, 2019 – 2027

12.2.1.6.4.  Middle East and Africa

12.2.1.6.4.1. Market Estimation, 2013 – 2018

12.2.1.6.4.2. Market Forecast, 2019 – 2027

12.2.1.6.5.  Latin America

12.2.1.6.5.1. Market Estimation, 2013 – 2018

12.2.1.6.5.2. Market Forecast, 2019 – 2027

12.2.2. Personalized Learning

12.2.2.1.  Definition

12.2.2.2.  Market Penetration, 2018

12.2.2.3.  Market Estimation, 2013 – 2018

12.2.2.4.  Market Forecast, 2019 – 2027

12.2.2.5.  Compound Annual Growth Rate (CAGR)

12.2.2.6.  Regional Bifurcation

12.2.2.6.1.  North America

12.2.2.6.1.1. Market Estimation, 2013 – 2018

12.2.2.6.1.2. Market Forecast, 2019 – 2027

12.2.2.6.2.  Europe

12.2.2.6.2.1. Market Estimation, 2013 – 2018

12.2.2.6.2.2. Market Forecast, 2019 – 2027

12.2.2.6.3.  Asia Pacific

12.2.2.6.3.1. Market Estimation, 2013 – 2018

12.2.2.6.3.2. Market Forecast, 2019 – 2027

12.2.2.6.4.  Middle East and Africa

12.2.2.6.4.1. Market Estimation, 2013 – 2018

12.2.2.6.4.2. Market Forecast, 2019 – 2027

12.2.2.6.5.  Latin America

12.2.2.6.5.1. Market Estimation, 2013 – 2018

12.2.2.6.5.2. Market Forecast, 2019 – 2027

12.2.3. Testing

12.2.3.1.  Definition

12.2.3.2.  Market Penetration, 2018

12.2.3.3.  Market Estimation, 2013 – 2018

12.2.3.4.  Market Forecast, 2019 – 2027

12.2.3.5.  Compound Annual Growth Rate (CAGR)

12.2.3.6.  Regional Bifurcation

12.2.3.6.1.  North America

12.2.3.6.1.1. Market Estimation, 2013 – 2018

12.2.3.6.1.2. Market Forecast, 2019 – 2027

12.2.3.6.2.  Europe

12.2.3.6.2.1. Market Estimation, 2013 – 2018

12.2.3.6.2.2. Market Forecast, 2019 – 2027

12.2.3.6.3.  Asia Pacific

12.2.3.6.3.1. Market Estimation, 2013 – 2018

12.2.3.6.3.2. Market Forecast, 2019 – 2027

12.2.3.6.4.  Middle East and Africa

12.2.3.6.4.1. Market Estimation, 2013 – 2018

12.2.3.6.4.2. Market Forecast, 2019 – 2027

12.2.3.6.5.  Latin America

12.2.3.6.5.1. Market Estimation, 2013 – 2018

12.2.3.6.5.2. Market Forecast, 2019 – 2027

12.2.4. Automating Tasks

12.2.4.1.  Definition

12.2.4.2.  Market Penetration, 2018

12.2.4.3.  Market Estimation, 2013 – 2018

12.2.4.4.  Market Forecast, 2019 – 2027

12.2.4.5.  Compound Annual Growth Rate (CAGR)

12.2.4.6.  Regional Bifurcation

12.2.4.6.1.  North America

12.2.4.6.1.1. Market Estimation, 2013 – 2018

12.2.4.6.1.2. Market Forecast, 2019 – 2027

12.2.4.6.2.  Europe

12.2.4.6.2.1. Market Estimation, 2013 – 2018

12.2.4.6.2.2. Market Forecast, 2019 – 2027

12.2.4.6.3.  Asia Pacific

12.2.4.6.3.1. Market Estimation, 2013 – 2018

12.2.4.6.3.2. Market Forecast, 2019 – 2027

12.2.4.6.4.  Middle East and Africa

12.2.4.6.4.1. Market Estimation, 2013 – 2018

12.2.4.6.4.2. Market Forecast, 2019 – 2027

12.2.4.6.5.  Latin America

12.2.4.6.5.1. Market Estimation, 2013 – 2018

12.2.4.6.5.2. Market Forecast, 2019 – 2027

12.3. Key Segment for Channeling Investments

12.3.1. By Application

13. Global Artificial Intelligence in Education Market Analysis and Forecasts, 2019 – 2027

13.1. Overview

13.2. Global Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Model

13.2.1. Pedagogical Model

13.2.1.1.  Definition

13.2.1.2.  Market Penetration, 2018

13.2.1.3.  Market Estimation, 2013 – 2018

13.2.1.4.  Market Forecast, 2019 – 2027

13.2.1.5.  Compound Annual Growth Rate (CAGR)

13.2.1.6.  Regional Bifurcation

13.2.1.6.1.  North America

13.2.1.6.1.1. Market Estimation, 2013 – 2018

13.2.1.6.1.2. Market Forecast, 2019 – 2027

13.2.1.6.2.  Europe

13.2.1.6.2.1. Market Estimation, 2013 – 2018

13.2.1.6.2.2. Market Forecast, 2019 – 2027

13.2.1.6.3.  Asia Pacific

13.2.1.6.3.1. Market Estimation, 2013 – 2018

13.2.1.6.3.2. Market Forecast, 2019 – 2027

13.2.1.6.4.  Middle East and Africa

13.2.1.6.4.1. Market Estimation, 2013 – 2018

13.2.1.6.4.2. Market Forecast, 2019 – 2027

13.2.1.6.5.  Latin America

13.2.1.6.5.1. Market Estimation, 2013 – 2018

13.2.1.6.5.2. Market Forecast, 2019 – 2027

13.2.2. Domain Model

13.2.2.1.  Definition

13.2.2.2.  Market Penetration, 2018

13.2.2.3.  Market Estimation, 2013 – 2018

13.2.2.4.  Market Forecast, 2019 – 2027

13.2.2.5.  Compound Annual Growth Rate (CAGR)

13.2.2.6.  Regional Bifurcation

13.2.2.6.1.  North America

13.2.2.6.1.1. Market Estimation, 2013 – 2018

13.2.2.6.1.2. Market Forecast, 2019 – 2027

13.2.2.6.2.  Europe

13.2.2.6.2.1. Market Estimation, 2013 – 2018

13.2.2.6.2.2. Market Forecast, 2019 – 2027

13.2.2.6.3.  Asia Pacific

13.2.2.6.3.1. Market Estimation, 2013 – 2018

13.2.2.6.3.2. Market Forecast, 2019 – 2027

13.2.2.6.4.  Middle East and Africa

13.2.2.6.4.1. Market Estimation, 2013 – 2018

13.2.2.6.4.2. Market Forecast, 2019 – 2027

13.2.2.6.5.  Latin America

13.2.2.6.5.1. Market Estimation, 2013 – 2018

13.2.2.6.5.2. Market Forecast, 2019 – 2027

13.2.3. Student Model

13.2.3.1.  Definition

13.2.3.2.  Market Penetration, 2018

13.2.3.3.  Market Estimation, 2013 – 2018

13.2.3.4.  Market Forecast, 2019 – 2027

13.2.3.5.  Compound Annual Growth Rate (CAGR)

13.2.3.6.  Regional Bifurcation

13.2.3.6.1.  North America

13.2.3.6.1.1. Market Estimation, 2013 – 2018

13.2.3.6.1.2. Market Forecast, 2019 – 2027

13.2.3.6.2.  Europe

13.2.3.6.2.1. Market Estimation, 2013 – 2018

13.2.3.6.2.2. Market Forecast, 2019 – 2027

13.2.3.6.3.  Asia Pacific

13.2.3.6.3.1. Market Estimation, 2013 – 2018

13.2.3.6.3.2. Market Forecast, 2019 – 2027

13.2.3.6.4.  Middle East and Africa

13.2.3.6.4.1. Market Estimation, 2013 – 2018

13.2.3.6.4.2. Market Forecast, 2019 – 2027

13.2.3.6.5.  Latin America

13.2.3.6.5.1. Market Estimation, 2013 – 2018

13.2.3.6.5.2. Market Forecast, 2019 – 2027

13.3. Key Segment for Channeling Investments

13.3.1. By Model

14. North America Artificial Intelligence in Education Market Analysis and Forecasts, 2019 - 2027

14.1. Overview

14.1.1. North America Artificial Intelligence in Education Market Revenue (US$ Mn)

14.2. North America Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Deployment

14.2.1. Cloud-based

14.2.2. On-premise

14.3. North America Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Component

14.3.1. Solution

14.3.2. Services

14.4. North America Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Technology

14.4.1. Natural Processing Language

14.4.2. Machine Learning

14.4.3. Deep Learning

14.5. North America Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Type

14.5.1. K-12

14.5.2. Higher Education

14.5.3. Corporate Training

14.6. North America Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Application

14.6.1. Intelligent Tutoring System

14.6.2. Personalized Learning

14.6.3. Testing

14.6.4. Automating Tasks

14.7. North America Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Model

14.7.1. Pedagogical Model

14.7.2. Domain Model

14.7.3. Student Model

14.8. North America Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Country

14.8.1. U.S

14.8.1.1.  U.S Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Deployment

14.8.1.1.1.  Cloud-based

14.8.1.1.2.  On-premise

14.8.1.2.  U.S Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Component

14.8.1.2.1.  Solution

14.8.1.2.2.  Services

14.8.1.3.  U.S Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Technology

14.8.1.3.1.  Natural Processing Language

14.8.1.3.2.  Machine Learning

14.8.1.3.3.  Deep Learning

14.8.1.4.  U.S Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Type

14.8.1.4.1.  K-12

14.8.1.4.2.  Higher Education

14.8.1.4.3.  Corporate Training

14.8.1.5.  U.S Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Application

14.8.1.5.1.  Intelligent Tutoring System

14.8.1.5.2.  Personalized Learning

14.8.1.5.3.  Testing

14.8.1.5.4.  Automating Tasks

14.8.1.6.  U.S Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Model

14.8.1.6.1.  Pedagogical Model

14.8.1.6.2.  Domain Model

14.8.1.6.3.  Student Model

14.8.2. Canada

14.8.2.1.  Canada Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Deployment

14.8.2.1.1.  Cloud-based

14.8.2.1.2.  On-premise

14.8.2.2.  Canada Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Component

14.8.2.2.1.  Solution

14.8.2.2.2.  Services

14.8.2.3.  Canada Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Technology

14.8.2.3.1.  Natural Processing Language

14.8.2.3.2.  Machine Learning

14.8.2.3.3.  Deep Learning

14.8.2.4.  Canada Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Type

14.8.2.4.1.  K-12

14.8.2.4.2.  Higher Education

14.8.2.4.3.  Corporate Training

14.8.2.5.  Canada Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Application

14.8.2.5.1.  Intelligent Tutoring System

14.8.2.5.2.  Personalized Learning

14.8.2.5.3.  Testing

14.8.2.5.4.  Automating Tasks

14.8.2.6.  Canada Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Model

14.8.2.6.1.  Pedagogical Model

14.8.2.6.2.  Domain Model

14.8.2.6.3.  Student Model

14.8.3. Mexico

14.8.3.1.  Mexico Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Deployment

14.8.3.1.1.  Cloud-based

14.8.3.1.2.  On-premise

14.8.3.2.  Mexico Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Component

14.8.3.2.1.  Solution

14.8.3.2.2.  Services

14.8.3.3.  Mexico Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Technology

14.8.3.3.1.  Natural Processing Language

14.8.3.3.2.  Machine Learning

14.8.3.3.3.  Deep Learning

14.8.3.4.  Mexico Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Type

14.8.3.4.1.  K-12

14.8.3.4.2.  Higher Education

14.8.3.4.3.  Corporate Training

14.8.3.5.  Mexico Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Application

14.8.3.5.1.  Intelligent Tutoring System

14.8.3.5.2.  Personalized Learning

14.8.3.5.3.  Testing

14.8.3.5.4.  Automating Tasks

14.8.3.6.  Mexico Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Model

14.8.3.6.1.  Pedagogical Model

14.8.3.6.2.  Domain Model

14.8.3.6.3.  Student Model

14.8.4. Rest of North America

14.8.4.1.  Rest of North America Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Deployment

14.8.4.1.1.  Cloud-based

14.8.4.1.2.  On-premise

14.8.4.2.  Rest of North America Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Component

14.8.4.2.1.  Solution

14.8.4.2.2.  Services

14.8.4.3.  Rest of North America Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Technology

14.8.4.3.1.  Natural Processing Language

14.8.4.3.2.  Machine Learning

14.8.4.3.3.  Deep Learning

14.8.4.4.  Rest of North America Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Type

14.8.4.4.1.  K-12

14.8.4.4.2.  Higher Education

14.8.4.4.3.  Corporate Training

14.8.4.5.  Rest of North America Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Application

14.8.4.5.1.  Intelligent Tutoring System

14.8.4.5.2.  Personalized Learning

14.8.4.5.3.  Testing

14.8.4.5.4.  Automating Tasks

14.8.4.6.  Rest of North America Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Model

14.8.4.6.1.  Pedagogical Model

14.8.4.6.2.  Domain Model

14.8.4.6.3.  Student Model

14.9. Key Segment for Channeling Investments

14.9.1. By Country

14.9.2. By Deployment

14.9.3. By Component

14.9.4. By Technology

14.9.5. By Type

14.9.6. By Application

14.9.7. By Model

15. Europe Artificial Intelligence in Education Market Analysis and Forecasts, 2019 - 2027

15.1. Overview

15.1.1. Europe Artificial Intelligence in Education Market Revenue (US$ Mn)

15.2. Europe Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Deployment

15.2.1. Cloud-based

15.2.2. On-premise

15.3. Europe Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Component

15.3.1. Solution

15.3.2. Services

15.4. Europe Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Technology

15.4.1. Natural Processing Language

15.4.2. Machine Learning

15.4.3. Deep Learning

15.5. Europe Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Type

15.5.1. K-12

15.5.2. Higher Education

15.5.3. Corporate Training

15.6. Europe Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Application

15.6.1. Intelligent Tutoring System

15.6.2. Personalized Learning

15.6.3. Testing

15.6.4. Automating Tasks

15.7. Europe Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Model

15.7.1. Pedagogical Model

15.7.2. Domain Model

15.7.3. Student Model

15.8. Europe Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Country

15.8.1. France

15.8.1.1.  France Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Deployment

15.8.1.1.1.  Cloud-based

15.8.1.1.2.  On-premise

15.8.1.2.  France Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Component

15.8.1.2.1.  Solution

15.8.1.2.2.  Services

15.8.1.3.  France Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Technology

15.8.1.3.1.  Natural Processing Language

15.8.1.3.2.  Machine Learning

15.8.1.3.3.  Deep Learning

15.8.1.4.  France Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Type

15.8.1.4.1.  K-12

15.8.1.4.2.  Higher Education

15.8.1.4.3.  Corporate Training

15.8.1.5.  France Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Application

15.8.1.5.1.  Intelligent Tutoring System

15.8.1.5.2.  Personalized Learning

15.8.1.5.3.  Testing

15.8.1.5.4.  Automating Tasks

15.8.1.6.  France Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Model

15.8.1.6.1.  Pedagogical Model

15.8.1.6.2.  Domain Model

15.8.1.6.3.  Student Model

15.8.2. The UK

15.8.2.1.  The UK Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Deployment

15.8.2.1.1.  Cloud-based

15.8.2.1.2.  On-premise

15.8.2.2.  The UK Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Component

15.8.2.2.1.  Solution

15.8.2.2.2.  Services

15.8.2.3.  The UK Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Technology

15.8.2.3.1.  Natural Processing Language

15.8.2.3.2.  Machine Learning

15.8.2.3.3.  Deep Learning

15.8.2.4.  The UK Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Type

15.8.2.4.1.  K-12

15.8.2.4.2.  Higher Education

15.8.2.4.3.  Corporate Training

15.8.2.5.  The UK Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Application

15.8.2.5.1.  Intelligent Tutoring System

15.8.2.5.2.  Personalized Learning

15.8.2.5.3.  Testing

15.8.2.5.4.  Automating Tasks

15.8.2.6.  The UK Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Model

15.8.2.6.1.  Pedagogical Model

15.8.2.6.2.  Domain Model

15.8.2.6.3.  Student Model

15.8.3. Spain

15.8.3.1.  Spain Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Deployment

15.8.3.1.1.  Cloud-based

15.8.3.1.2.  On-premise

15.8.3.2.  Spain Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Component

15.8.3.2.1.  Solution

15.8.3.2.2.  Services

15.8.3.3.  Spain Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Technology

15.8.3.3.1.  Natural Processing Language

15.8.3.3.2.  Machine Learning

15.8.3.3.3.  Deep Learning

15.8.3.4.  Spain Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Type

15.8.3.4.1.  K-12

15.8.3.4.2.  Higher Education

15.8.3.4.3.  Corporate Training

15.8.3.5.  Spain Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Application

15.8.3.5.1.  Intelligent Tutoring System

15.8.3.5.2.  Personalized Learning

15.8.3.5.3.  Testing

15.8.3.5.4.  Automating Tasks

15.8.3.6.  Spain Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Model

15.8.3.6.1.  Pedagogical Model

15.8.3.6.2.  Domain Model

15.8.3.6.3.  Student Model

15.8.4. Germany

15.8.4.1.  Germany Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Deployment

15.8.4.1.1.  Cloud-based

15.8.4.1.2.  On-premise

15.8.4.2.  Germany Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Component

15.8.4.2.1.  Solution

15.8.4.2.2.  Services

15.8.4.3.  Germany Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Technology

15.8.4.3.1.  Natural Processing Language

15.8.4.3.2.  Machine Learning

15.8.4.3.3.  Deep Learning

15.8.4.4.  Germany Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Type

15.8.4.4.1.  K-12

15.8.4.4.2.  Higher Education

15.8.4.4.3.  Corporate Training

15.8.4.5.  Germany Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Application

15.8.4.5.1.  Intelligent Tutoring System

15.8.4.5.2.  Personalized Learning

15.8.4.5.3.  Testing

15.8.4.5.4.  Automating Tasks

15.8.4.6.  Germany Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Model

15.8.4.6.1.  Pedagogical Model

15.8.4.6.2.  Domain Model

15.8.4.6.3.  Student Model

15.8.5. Italy

15.8.5.1.  Italy Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Deployment

15.8.5.1.1.  Cloud-based

15.8.5.1.2.  On-premise

15.8.5.2.  Italy Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Component

15.8.5.2.1.  Solution

15.8.5.2.2.  Services

15.8.5.3.  Italy Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Technology

15.8.5.3.1.  Natural Processing Language

15.8.5.3.2.  Machine Learning

15.8.5.3.3.  Deep Learning

15.8.5.4.  Italy Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Type

15.8.5.4.1.  K-12

15.8.5.4.2.  Higher Education

15.8.5.4.3.  Corporate Training

15.8.5.5.  Italy Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Application

15.8.5.5.1.  Intelligent Tutoring System

15.8.5.5.2.  Personalized Learning

15.8.5.5.3.  Testing

15.8.5.5.4.  Automating Tasks

15.8.5.6.  Italy Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Model

15.8.5.6.1.  Pedagogical Model

15.8.5.6.2.  Domain Model

15.8.5.6.3.  Student Model

15.8.6. Nordic Countries

15.8.6.1.  Nordic Countries Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Deployment

15.8.6.1.1.  Cloud-based

15.8.6.1.2.  On-premise

15.8.6.2.  Nordic Countries Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Component

15.8.6.2.1.  Solution

15.8.6.2.2.  Services

15.8.6.3.  Nordic Countries Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Technology

15.8.6.3.1.  Natural Processing Language

15.8.6.3.2.  Machine Learning

15.8.6.3.3.  Deep Learning

15.8.6.4.  Nordic Countries Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Type

15.8.6.4.1.  K-12

15.8.6.4.2.  Higher Education

15.8.6.4.3.  Corporate Training

15.8.6.5.  Nordic Countries Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Application

15.8.6.5.1.  Intelligent Tutoring System

15.8.6.5.2.  Personalized Learning

15.8.6.5.3.  Testing

15.8.6.5.4.  Automating Tasks

15.8.6.6.  Nordic Countries Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Model

15.8.6.6.1.  Pedagogical Model

15.8.6.6.2.  Domain Model

15.8.6.6.3.  Student Model

15.8.6.7.  Nordic Countries Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Country

15.8.6.7.1.  Denmark

15.8.6.7.2.  Finland

15.8.6.7.3.  Iceland

15.8.6.7.4.  Sweden

15.8.6.7.5.  Norway

15.8.7. Benelux Union

15.8.7.1.  Benelux Union Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Deployment

15.8.7.1.1.  Cloud-based

15.8.7.1.2.  On-premise

15.8.7.2.  Benelux Union Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Component

15.8.7.2.1.  Solution

15.8.7.2.2.  Services

15.8.7.3.  Benelux Union Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Technology

15.8.7.3.1.  Natural Processing Language

15.8.7.3.2.  Machine Learning

15.8.7.3.3.  Deep Learning

15.8.7.4.  Benelux Union Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Type

15.8.7.4.1.  K-12

15.8.7.4.2.  Higher Education

15.8.7.4.3.  Corporate Training

15.8.7.5.  Benelux Union Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Application

15.8.7.5.1.  Intelligent Tutoring System

15.8.7.5.2.  Personalized Learning

15.8.7.5.3.  Testing

15.8.7.5.4.  Automating Tasks

15.8.7.6.  Benelux Union Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Model

15.8.7.6.1.  Pedagogical Model

15.8.7.6.2.  Domain Model

15.8.7.6.3.  Student Model

15.8.7.7.  Benelux Union Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Country

15.8.7.7.1.  Belgium

15.8.7.7.2.  The Netherlands

15.8.7.7.3.  Luxembourg

15.8.8. Rest of Europe

15.8.8.1.  Rest of Europe Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Deployment

15.8.8.1.1.  Cloud-based

15.8.8.1.2.  On-premise

15.8.8.2.  Rest of Europe Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Component

15.8.8.2.1.  Solution

15.8.8.2.2.  Services

15.8.8.3.  Rest of Europe Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Technology

15.8.8.3.1.  Natural Processing Language

15.8.8.3.2.  Machine Learning

15.8.8.3.3.  Deep Learning

15.8.8.4.  Rest of Europe Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Type

15.8.8.4.1.  K-12

15.8.8.4.2.  Higher Education

15.8.8.4.3.  Corporate Training

15.8.8.5.  Rest of Europe Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Application

15.8.8.5.1.  Intelligent Tutoring System

15.8.8.5.2.  Personalized Learning

15.8.8.5.3.  Testing

15.8.8.5.4.  Automating Tasks

15.8.8.6.  Rest of Europe Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Model

15.8.8.6.1.  Pedagogical Model

15.8.8.6.2.  Domain Model

15.8.8.6.3.  Student Model

15.9. Key Segment for Channeling Investments

15.9.1. By Country

15.9.2. By Deployment

15.9.3. By Component

15.9.4. By Technology

15.9.5. By Type

15.9.6. By Application

15.9.7. By Model

16. Asia Pacific Artificial Intelligence in Education Market Analysis and Forecasts, 2019 - 2027

16.1. Overview

16.1.1. Asia Pacific Artificial Intelligence in Education Market Revenue (US$ Mn)

16.2. Asia Pacific Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Deployment

16.2.1. Cloud-based

16.2.2. On-premise

16.3. Asia Pacific Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Component

16.3.1. Solution

16.3.2. Services

16.4. Asia Pacific Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Technology

16.4.1. Natural Processing Language

16.4.2. Machine Learning

16.4.3. Deep Learning

16.5. Asia Pacific Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Type

16.5.1. K-12

16.5.2. Higher Education

16.5.3. Corporate Training

16.6. Asia Pacific Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Application

16.6.1. Intelligent Tutoring System

16.6.2. Personalized Learning

16.6.3. Testing

16.6.4. Automating Tasks

16.7. Asia Pacific Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Model

16.7.1. Pedagogical Model

16.7.2. Domain Model

16.7.3. Student Model

16.8. Asia Pacific Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Country

16.8.1. China

16.8.1.1.  China Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Deployment

16.8.1.1.1.  Cloud-based

16.8.1.1.2.  On-premise

16.8.1.2.  China Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Component

16.8.1.2.1.  Solution

16.8.1.2.2.  Services

16.8.1.3.  China Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Technology

16.8.1.3.1.  Natural Processing Language

16.8.1.3.2.  Machine Learning

16.8.1.3.3.  Deep Learning

16.8.1.4.  China Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Type

16.8.1.4.1.  K-12

16.8.1.4.2.  Higher Education

16.8.1.4.3.  Corporate Training

16.8.1.5.  China Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Application

16.8.1.5.1.  Intelligent Tutoring System

16.8.1.5.2.  Personalized Learning

16.8.1.5.3.  Testing

16.8.1.5.4.  Automating Tasks

16.8.1.6.  China Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Model

16.8.1.6.1.  Pedagogical Model

16.8.1.6.2.  Domain Model

16.8.1.6.3.  Student Model

16.8.2. Japan

16.8.2.1.  Japan Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Deployment

16.8.2.1.1.  Cloud-based

16.8.2.1.2.  On-premise

16.8.2.2.  Japan Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Component

16.8.2.2.1.  Solution

16.8.2.2.2.  Services

16.8.2.3.  Japan Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Technology

16.8.2.3.1.  Natural Processing Language

16.8.2.3.2.  Machine Learning

16.8.2.3.3.  Deep Learning

16.8.2.4.  Japan Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Type

16.8.2.4.1.  K-12

16.8.2.4.2.  Higher Education

16.8.2.4.3.  Corporate Training

16.8.2.5.  Japan Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Application

16.8.2.5.1.  Intelligent Tutoring System

16.8.2.5.2.  Personalized Learning

16.8.2.5.3.  Testing

16.8.2.5.4.  Automating Tasks

16.8.2.6.  Japan Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Model

16.8.2.6.1.  Pedagogical Model

16.8.2.6.2.  Domain Model

16.8.2.6.3.  Student Model

16.8.3. India

16.8.3.1.  India Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Deployment

16.8.3.1.1.  Cloud-based

16.8.3.1.2.  On-premise

16.8.3.2.  India Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Component

16.8.3.2.1.  Solution

16.8.3.2.2.  Services

16.8.3.3.  India Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Technology

16.8.3.3.1.  Natural Processing Language

16.8.3.3.2.  Machine Learning

16.8.3.3.3.  Deep Learning

16.8.3.4.  India Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Type

16.8.3.4.1.  K-12

16.8.3.4.2.  Higher Education

16.8.3.4.3.  Corporate Training

16.8.3.5.  India Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Application

16.8.3.5.1.  Intelligent Tutoring System

16.8.3.5.2.  Personalized Learning

16.8.3.5.3.  Testing

16.8.3.5.4.  Automating Tasks

16.8.3.6.  India Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Model

16.8.3.6.1.  Pedagogical Model

16.8.3.6.2.  Domain Model

16.8.3.6.3.  Student Model

16.8.4. New Zealand

16.8.4.1.  New Zealand Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Deployment

16.8.4.1.1.  Cloud-based

16.8.4.1.2.  On-premise

16.8.4.2.  New Zealand Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Component

16.8.4.2.1.  Solution

16.8.4.2.2.  Services

16.8.4.3.  New Zealand Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Technology

16.8.4.3.1.  Natural Processing Language

16.8.4.3.2.  Machine Learning

16.8.4.3.3.  Deep Learning

16.8.4.4.  New Zealand Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Type

16.8.4.4.1.  K-12

16.8.4.4.2.  Higher Education

16.8.4.4.3.  Corporate Training

16.8.4.5.  New Zealand Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Application

16.8.4.5.1.  Intelligent Tutoring System

16.8.4.5.2.  Personalized Learning

16.8.4.5.3.  Testing

16.8.4.5.4.  Automating Tasks

16.8.4.6.  New Zealand Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Model

16.8.4.6.1.  Pedagogical Model

16.8.4.6.2.  Domain Model

16.8.4.6.3.  Student Model

16.8.5. Australia

16.8.5.1.  Australia Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Deployment

16.8.5.1.1.  Cloud-based

16.8.5.1.2.  On-premise

16.8.5.2.  Australia Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Component

16.8.5.2.1.  Solution

16.8.5.2.2.  Services

16.8.5.3.  Australia Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Technology

16.8.5.3.1.  Natural Processing Language

16.8.5.3.2.  Machine Learning

16.8.5.3.3.  Deep Learning

16.8.5.4.  Australia Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Type

16.8.5.4.1.  K-12

16.8.5.4.2.  Higher Education

16.8.5.4.3.  Corporate Training

16.8.5.5.  Australia Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Application

16.8.5.5.1.  Intelligent Tutoring System

16.8.5.5.2.  Personalized Learning

16.8.5.5.3.  Testing

16.8.5.5.4.  Automating Tasks

16.8.5.6.  Australia Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Model

16.8.5.6.1.  Pedagogical Model

16.8.5.6.2.  Domain Model

16.8.5.6.3.  Student Model

16.8.6. South Korea

16.8.6.1.  South Korea Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Deployment

16.8.6.1.1.  Cloud-based

16.8.6.1.2.  On-premise

16.8.6.2.  South Korea Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Component

16.8.6.2.1.  Solution

16.8.6.2.2.  Services

16.8.6.3.  South Korea Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Technology

16.8.6.3.1.  Natural Processing Language

16.8.6.3.2.  Machine Learning

16.8.6.3.3.  Deep Learning

16.8.6.4.  South Korea Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Type

16.8.6.4.1.  K-12

16.8.6.4.2.  Higher Education

16.8.6.4.3.  Corporate Training

16.8.6.5.  South Korea Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Application

16.8.6.5.1.  Intelligent Tutoring System

16.8.6.5.2.  Personalized Learning

16.8.6.5.3.  Testing

16.8.6.5.4.  Automating Tasks

16.8.6.6.  South Korea Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Model

16.8.6.6.1.  Pedagogical Model

16.8.6.6.2.  Domain Model

16.8.6.6.3.  Student Model

16.8.7. Southeast Asia

16.8.7.1.  Southeast Asia Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Deployment

16.8.7.1.1.  Cloud-based

16.8.7.1.2.  On-premise

16.8.7.2.  Southeast Asia Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Component

16.8.7.2.1.  Solution

16.8.7.2.2.  Services

16.8.7.3.  Southeast Asia Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Technology

16.8.7.3.1.  Natural Processing Language

16.8.7.3.2.  Machine Learning

16.8.7.3.3.  Deep Learning

16.8.7.4.  Southeast Asia Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Type

16.8.7.4.1.  K-12

16.8.7.4.2.  Higher Education

16.8.7.4.3.  Corporate Training

16.8.7.5.  Southeast Asia Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Application

16.8.7.5.1.  Intelligent Tutoring System

16.8.7.5.2.  Personalized Learning

16.8.7.5.3.  Testing

16.8.7.5.4.  Automating Tasks

16.8.7.6.  Southeast Asia Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Model

16.8.7.6.1.  Pedagogical Model

16.8.7.6.2.  Domain Model

16.8.7.6.3.  Student Model

16.8.7.7.  Southeast Asia Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Country

16.8.7.7.1.  Indonesia

16.8.7.7.2.  Thailand

16.8.7.7.3.  Malaysia

16.8.7.7.4.  Singapore

16.8.7.7.5.  Rest of South Asia

16.8.8. Rest of Asia Pacific

16.8.8.1.  Rest of Asia Pacific Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Deployment

16.8.8.1.1.  Cloud-based

16.8.8.1.2.  On-premise

16.8.8.2.  Rest of Asia Pacific Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Component

16.8.8.2.1.  Solution

16.8.8.2.2.  Services

16.8.8.3.  Rest of Asia Pacific Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Technology

16.8.8.3.1.  Natural Processing Language

16.8.8.3.2.  Machine Learning

16.8.8.3.3.  Deep Learning

16.8.8.4.  Rest of Asia Pacific Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Type

16.8.8.4.1.  K-12

16.8.8.4.2.  Higher Education

16.8.8.4.3.  Corporate Training

16.8.8.5.  Rest of Asia Pacific Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Application

16.8.8.5.1.  Intelligent Tutoring System

16.8.8.5.2.  Personalized Learning

16.8.8.5.3.  Testing

16.8.8.5.4.  Automating Tasks

16.8.8.6.  Rest of Asia Pacific Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Model

16.8.8.6.1.  Pedagogical Model

16.8.8.6.2.  Domain Model

16.8.8.6.3.  Student Model

16.9. Key Segment for Channeling Investments

16.9.1. By Country

16.9.2. By Deployment

16.9.3. By Component

16.9.4. By Technology

16.9.5. By Type

16.9.6. By Application

16.9.7. By Model

17. Middle East and Africa Artificial Intelligence in Education Market Analysis and Forecasts, 2019 - 2027

17.1. Overview

17.1.1. Middle East and Africa Artificial Intelligence in Education Market Revenue (US$ Mn)

17.2. Middle East and Africa Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Deployment

17.2.1. Cloud-based

17.2.2. On-premise

17.3. Middle East and Africa Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Component

17.3.1. Solution

17.3.2. Services

17.4. Middle East and Africa Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Technology

17.4.1. Natural Processing Language

17.4.2. Machine Learning

17.4.3. Deep Learning

17.5. Middle East and Africa Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Type

17.5.1. K-12

17.5.2. Higher Education

17.5.3. Corporate Training

17.6. Middle East and Africa Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Application

17.6.1. Intelligent Tutoring System

17.6.2. Personalized Learning

17.6.3. Testing

17.6.4. Automating Tasks

17.7. Middle East and Africa Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Model

17.7.1. Pedagogical Model

17.7.2. Domain Model

17.7.3. Student Model

17.8. Middle East and Africa Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Country

17.8.1. Saudi Arabia

17.8.1.1.  Saudi Arabia Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Deployment

17.8.1.1.1.  Cloud-based

17.8.1.1.2.  On-premise

17.8.1.2.  Saudi Arabia Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Component

17.8.1.2.1.  Solution

17.8.1.2.2.  Services

17.8.1.3.  Saudi Arabia Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Technology

17.8.1.3.1.  Natural Processing Language

17.8.1.3.2.  Machine Learning

17.8.1.3.3.  Deep Learning

17.8.1.4.  Saudi Arabia Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Type

17.8.1.4.1.  K-12

17.8.1.4.2.  Higher Education

17.8.1.4.3.  Corporate Training

17.8.1.5.  Saudi Arabia Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Application

17.8.1.5.1.  Intelligent Tutoring System

17.8.1.5.2.  Personalized Learning

17.8.1.5.3.  Testing

17.8.1.5.4.  Automating Tasks

17.8.1.6.  Saudi Arabia Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Model

17.8.1.6.1.  Pedagogical Model

17.8.1.6.2.  Domain Model

17.8.1.6.3.  Student Model

17.8.2. UAE

17.8.2.1.  UAE Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Deployment

17.8.2.1.1.  Cloud-based

17.8.2.1.2.  On-premise

17.8.2.2.  UAE Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Component

17.8.2.2.1.  Solution

17.8.2.2.2.  Services

17.8.2.3.  UAE Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Technology

17.8.2.3.1.  Natural Processing Language

17.8.2.3.2.  Machine Learning

17.8.2.3.3.  Deep Learning

17.8.2.4.  UAE Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Type

17.8.2.4.1.  K-12

17.8.2.4.2.  Higher Education

17.8.2.4.3.  Corporate Training

17.8.2.5.  UAE Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Application

17.8.2.5.1.  Intelligent Tutoring System

17.8.2.5.2.  Personalized Learning

17.8.2.5.3.  Testing

17.8.2.5.4.  Automating Tasks

17.8.2.6.  UAE Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Model

17.8.2.6.1.  Pedagogical Model

17.8.2.6.2.  Domain Model

17.8.2.6.3.  Student Model

17.8.3. Egypt

17.8.3.1.  Egypt Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Deployment

17.8.3.1.1.  Cloud-based

17.8.3.1.2.  On-premise

17.8.3.2.  Egypt Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Component

17.8.3.2.1.  Solution

17.8.3.2.2.  Services

17.8.3.3.  Egypt Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Technology

17.8.3.3.1.  Natural Processing Language

17.8.3.3.2.  Machine Learning

17.8.3.3.3.  Deep Learning

17.8.3.4.  Egypt Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Type

17.8.3.4.1.  K-12

17.8.3.4.2.  Higher Education

17.8.3.4.3.  Corporate Training

17.8.3.5.  Egypt Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Application

17.8.3.5.1.  Intelligent Tutoring System

17.8.3.5.2.  Personalized Learning

17.8.3.5.3.  Testing

17.8.3.5.4.  Automating Tasks

17.8.3.6.  Egypt Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Model

17.8.3.6.1.  Pedagogical Model

17.8.3.6.2.  Domain Model

17.8.3.6.3.  Student Model

17.8.4. Kuwait

17.8.4.1.  Kuwait Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Deployment

17.8.4.1.1.  Cloud-based

17.8.4.1.2.  On-premise

17.8.4.2.  Kuwait Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Component

17.8.4.2.1.  Solution

17.8.4.2.2.  Services

17.8.4.3.  Kuwait Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Technology

17.8.4.3.1.  Natural Processing Language

17.8.4.3.2.  Machine Learning

17.8.4.3.3.  Deep Learning

17.8.4.4.  Kuwait Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Type

17.8.4.4.1.  K-12

17.8.4.4.2.  Higher Education

17.8.4.4.3.  Corporate Training

17.8.4.5.  Kuwait Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Application

17.8.4.5.1.  Intelligent Tutoring System

17.8.4.5.2.  Personalized Learning

17.8.4.5.3.  Testing

17.8.4.5.4.  Automating Tasks

17.8.4.6.  Kuwait Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Model

17.8.4.6.1.  Pedagogical Model

17.8.4.6.2.  Domain Model

17.8.4.6.3.  Student Model

17.8.5. South Africa

17.8.5.1.  South Africa Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Deployment

17.8.5.1.1.  Cloud-based

17.8.5.1.2.  On-premise

17.8.5.2.  South Africa Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Component

17.8.5.2.1.  Solution

17.8.5.2.2.  Services

17.8.5.3.  South Africa Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Technology

17.8.5.3.1.  Natural Processing Language

17.8.5.3.2.  Machine Learning

17.8.5.3.3.  Deep Learning

17.8.5.4.  South Africa Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Type

17.8.5.4.1.  K-12

17.8.5.4.2.  Higher Education

17.8.5.4.3.  Corporate Training

17.8.5.5.  South Africa Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Application

17.8.5.5.1.  Intelligent Tutoring System

17.8.5.5.2.  Personalized Learning

17.8.5.5.3.  Testing

17.8.5.5.4.  Automating Tasks

17.8.5.6.  South Africa Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Model

17.8.5.6.1.  Pedagogical Model

17.8.5.6.2.  Domain Model

17.8.5.6.3.  Student Model

17.8.6. Rest of Middle East & Africa

17.8.6.1.  Rest of Middle East & Africa Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Deployment

17.8.6.1.1.  Cloud-based

17.8.6.1.2.  On-premise

17.8.6.2.  Rest of Middle East & Africa Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Component

17.8.6.2.1.  Solution

17.8.6.2.2.  Services

17.8.6.3.  Rest of Middle East & Africa Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Technology

17.8.6.3.1.  Natural Processing Language

17.8.6.3.2.  Machine Learning

17.8.6.3.3.  Deep Learning

17.8.6.4.  Rest of Middle East & Africa Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Type

17.8.6.4.1.  K-12

17.8.6.4.2.  Higher Education

17.8.6.4.3.  Corporate Training

17.8.6.5.  Rest of Middle East & Africa Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Application

17.8.6.5.1.  Intelligent Tutoring System

17.8.6.5.2.  Personalized Learning

17.8.6.5.3.  Testing

17.8.6.5.4.  Automating Tasks

17.8.6.6.  Rest of Middle East & Africa Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Model

17.8.6.6.1.  Pedagogical Model

17.8.6.6.2.  Domain Model

17.8.6.6.3.  Student Model

17.9. Key Segment for Channeling Investments

17.9.1. By Country

17.9.2. By Deployment

17.9.3. By Component

17.9.4. By Technology

17.9.5. By Type

17.9.6. By Application

17.9.7. By Model

18. Latin America Artificial Intelligence in Education Market Analysis and Forecasts, 2019 - 2027

18.1. Overview

18.1.1. Latin America Artificial Intelligence in Education Market Revenue (US$ Mn)

18.2. Latin America Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Deployment

18.2.1. Cloud-based

18.2.2. On-premise

18.3. Latin America Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Component

18.3.1. Solution

18.3.2. Services

18.4. Latin America Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Technology

18.4.1. Natural Processing Language

18.4.2. Machine Learning

18.4.3. Deep Learning

18.5. Latin America Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Type

18.5.1. K-12

18.5.2. Higher Education

18.5.3. Corporate Training

18.6. Latin America Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Application

18.6.1. Intelligent Tutoring System

18.6.2. Personalized Learning

18.6.3. Testing

18.6.4. Automating Tasks

18.7. Latin America Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Model

18.7.1. Pedagogical Model

18.7.2. Domain Model

18.7.3. Student Model

18.8. Latin America Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Country

18.8.1. Brazil

18.8.1.1.  Brazil Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Deployment

18.8.1.1.1.  Cloud-based

18.8.1.1.2.  On-premise

18.8.1.2.  Brazil Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Component

18.8.1.2.1.  Solution

18.8.1.2.2.  Services

18.8.1.3.  Brazil Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Technology

18.8.1.3.1.  Natural Processing Language

18.8.1.3.2.  Machine Learning

18.8.1.3.3.  Deep Learning

18.8.1.4.  Brazil Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Type

18.8.1.4.1.  K-12

18.8.1.4.2.  Higher Education

18.8.1.4.3.  Corporate Training

18.8.1.5.  Brazil Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Application

18.8.1.5.1.  Intelligent Tutoring System

18.8.1.5.2.  Personalized Learning

18.8.1.5.3.  Testing

18.8.1.5.4.  Automating Tasks

18.8.1.6.  Brazil Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Model

18.8.1.6.1.  Pedagogical Model

18.8.1.6.2.  Domain Model

18.8.1.6.3.  Student Model

18.8.2. Argentina

18.8.2.1.  Argentina Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Deployment

18.8.2.1.1.  Cloud-based

18.8.2.1.2.  On-premise

18.8.2.2.  Argentina Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Component

18.8.2.2.1.  Solution

18.8.2.2.2.  Services

18.8.2.3.  Argentina Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Technology

18.8.2.3.1.  Natural Processing Language

18.8.2.3.2.  Machine Learning

18.8.2.3.3.  Deep Learning

18.8.2.4.  Argentina Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Type

18.8.2.4.1.  K-12

18.8.2.4.2.  Higher Education

18.8.2.4.3.  Corporate Training

18.8.2.5.  Argentina Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Application

18.8.2.5.1.  Intelligent Tutoring System

18.8.2.5.2.  Personalized Learning

18.8.2.5.3.  Testing

18.8.2.5.4.  Automating Tasks

18.8.2.6.  Argentina Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Model

18.8.2.6.1.  Pedagogical Model

18.8.2.6.2.  Domain Model

18.8.2.6.3.  Student Model

18.8.3. Rest of Latin America

18.8.3.1.  Rest of Latin America Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Deployment

18.8.3.1.1.  Cloud-based

18.8.3.1.2.  On-premise

18.8.3.2.  Rest of Latin America Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Component

18.8.3.2.1.  Solution

18.8.3.2.2.  Services

18.8.3.3.  Rest of Latin America Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Technology

18.8.3.3.1.  Natural Processing Language

18.8.3.3.2.  Machine Learning

18.8.3.3.3.  Deep Learning

18.8.3.4.  Rest of Latin America Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Type

18.8.3.4.1.  K-12

18.8.3.4.2.  Higher Education

18.8.3.4.3.  Corporate Training

18.8.3.5.  Rest of Latin America Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Application

18.8.3.5.1.  Intelligent Tutoring System

18.8.3.5.2.  Personalized Learning

18.8.3.5.3.  Testing

18.8.3.5.4.  Automating Tasks

18.8.3.6.  Rest of Latin America Artificial Intelligence in Education Market Revenue (US$ Mn) and Forecasts, By Model

18.8.3.6.1.  Pedagogical Model

18.8.3.6.2.  Domain Model

18.8.3.6.3.  Student Model

18.9. Key Segment for Channeling Investments

18.9.1. By Country

18.9.2. By Deployment

18.9.3. By Component

18.9.4. By Technology

18.9.5. By Type

18.9.6. By Application

18.9.7. By Model

19. Competitive Benchmarking

19.1. Brand Benchmarking

19.2. Market Share Analysis, 2018

19.3. Global Presence and Growth Strategies

19.3.1. Mergers and Acquisitions

19.3.2. Product Launches

19.3.3. Investments Trends

19.3.4. R&D Initiatives

20. Player Profiles

20.1. Amazon Web Services, Inc.

20.1.1. Company Details

20.1.2. Company Overview

20.1.3. Product Offerings

20.1.4. Key Developments

20.1.5. Financial Analysis

20.1.6. SWOT Analysis

20.1.7. Business Strategies

20.2. Blackboard Inc.

20.2.1. Company Details

20.2.2. Company Overview

20.2.3. Product Offerings

20.2.4. Key Developments

20.2.5. Financial Analysis

20.2.6. SWOT Analysis

20.2.7. Business Strategies

20.3. Brainly

20.3.1. Company Details

20.3.2. Company Overview

20.3.3. Product Offerings

20.3.4. Key Developments

20.3.5. Financial Analysis

20.3.6. SWOT Analysis

20.3.7. Business Strategies

20.4. BridgeU

20.4.1. Company Details

20.4.2. Company Overview

20.4.3. Product Offerings

20.4.4. Key Developments

20.4.5. Financial Analysis

20.4.6. SWOT Analysis

20.4.7. Business Strategies

20.5. Carnegie Learning, Inc.

20.5.1. Company Details

20.5.2. Company Overview

20.5.3. Product Offerings

20.5.4. Key Developments

20.5.5. Financial Analysis

20.5.6. SWOT Analysis

20.5.7. Business Strategies

20.6. Century-Tech Limited

20.6.1. Company Details

20.6.2. Company Overview

20.6.3. Product Offerings

20.6.4. Key Developments

20.6.5. Financial Analysis

20.6.6. SWOT Analysis

20.6.7. Business Strategies

20.7. Content Technologies, Inc.

20.7.1. Company Details

20.7.2. Company Overview

20.7.3. Product Offerings

20.7.4. Key Developments

20.7.5. Financial Analysis

20.7.6. SWOT Analysis

20.7.7. Business Strategies

20.8. DREAMBOX LEARNING

20.8.1. Company Details

20.8.2. Company Overview

20.8.3. Product Offerings

20.8.4. Key Developments

20.8.5. Financial Analysis

20.8.6. SWOT Analysis

20.8.7. Business Strategies

20.9. ELEMENTAL PATH

20.9.1. Company Details

20.9.2. Company Overview

20.9.3. Product Offerings

20.9.4. Key Developments

20.9.5. Financial Analysis

20.9.6. SWOT Analysis

20.9.7. Business Strategies

20.10. Fishtree

20.10.1. Company Details

20.10.2. Company Overview

20.10.3. Product Offerings

20.10.4. Key Developments

20.10.5. Financial Analysis

20.10.6. SWOT Analysis

20.10.7. Business Strategies

20.11. IBM

20.11.1. Company Details

20.11.2. Company Overview

20.11.3. Product Offerings

20.11.4. Key Developments

20.11.5. Financial Analysis

20.11.6. SWOT Analysis

20.11.7. Business Strategies

20.12. Knewton, Inc.

20.12.1. Company Details

20.12.2. Company Overview

20.12.3. Product Offerings

20.12.4. Key Developments

20.12.5. Financial Analysis

20.12.6. SWOT Analysis

20.12.7. Business Strategies

20.13. Metacog, Inc.

20.13.1. Company Details

20.13.2. Company Overview

20.13.3. Product Offerings

20.13.4. Key Developments

20.13.5. Financial Analysis

20.13.6. SWOT Analysis

20.13.7. Business Strategies

20.14. Microsoft

20.14.1. Company Details

20.14.2. Company Overview

20.14.3. Product Offerings

20.14.4. Key Developments

20.14.5. Financial Analysis

20.14.6. SWOT Analysis

20.14.7. Business Strategies

20.15. Netex Knowledge Factory

20.15.1. Company Details

20.15.2. Company Overview

20.15.3. Product Offerings

20.15.4. Key Developments

20.15.5. Financial Analysis

20.15.6. SWOT Analysis

20.15.7. Business Strategies

20.16. Prazas Learning Inc.

20.16.1. Company Details

20.16.2. Company Overview

20.16.3. Product Offerings

20.16.4. Key Developments

20.16.5. Financial Analysis

20.16.6. SWOT Analysis

20.16.7. Business Strategies

20.17. Quantum Adaptive Learning, LLC

20.17.1. Company Details

20.17.2. Company Overview

20.17.3. Product Offerings

20.17.4. Key Developments

20.17.5. Financial Analysis

20.17.6. SWOT Analysis

20.17.7. Business Strategies

20.18. Querium Corporation

20.18.1. Company Details

20.18.2. Company Overview

20.18.3. Product Offerings

20.18.4. Key Developments

20.18.5. Financial Analysis

20.18.6. SWOT Analysis

20.18.7. Business Strategies

20.19. Volley

20.19.1. Company Details

20.19.2. Company Overview

20.19.3. Product Offerings

20.19.4. Key Developments

20.19.5. Financial Analysis

20.19.6. SWOT Analysis

20.19.7. Business Strategies

21. Key Findings

 

Note: This ToC is tentative and can be changed according to the research study conducted during the course of report completion.

 

**Exclusive for Multi-User and Enterprise User.

At Absolute Markets Insights, we are engaged in building both global as well as country specific reports. As a result, the approach taken for deriving the estimation and forecast for a specific country is a bit unique and different in comparison to the global research studies. In this case, we not only study the concerned market factors & trends prevailing in a particular country (from secondary research) but we also tend to calculate the actual market size & forecast from the revenue generated from the market participants involved in manufacturing or distributing the any concerned product. These companies can also be service providers. For analyzing any country specifically, we do consider the growth factors prevailing under the states/cities/county for the same. For instance, if we are analyzing an industry specific to United States, we primarily need to study about the states present under the same(where the product/service has the highest growth). Similar analysis will be followed by other countries. Our scope of the report changes with different markets.

Our research study is mainly implement through a mix of both secondary and primary research. Various sources such as industry magazines, trade journals, and government websites and trade associations are reviewed for gathering precise data. Primary interviews  are conducted to validate the market size derived from secondary research. Industry experts, major manufacturers and distributors are contacted for further validation purpose on the current market penetration and growth trends.  

Prominent participants in our primary research process include:

  • Key Opinion Leaders namely the CEOs, CSOs, VPs, purchasing managers, amongst others
  • Research and development participants, distributors/suppliers and subject matter experts

Secondary Research includes data extracted from paid data sources:

  • Reuters
  • Factiva
  • Bloomberg
  • One Source
  • Hoovers

Research Methodology

Methodology

Key Inclusions

Methodology

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