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
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
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
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.
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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
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- Factiva
- Bloomberg
- One Source
- Hoovers
Research Methodology
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