Press release
Smart Education and Learning : 19.7% CAGR by 2018-25 : Massive Open Online Courses By Renowned Foreign Institutions Driving Growth
Press Release - 27 April 2018Global Research and Development News --
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Report Description-
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– ASEAN Smart Education and Learning Market: Scope and Overview –
The “ASEAN Smart Education and Learning Market” report provides analysis of the ASEAN smart education and learning market for the period 2014–2020, wherein the years from 2016 to 2020 is the forecast period and 2015 is considered as the base year. The report precisely covers all the major trends and technologies playing a major role in the smart education and learning market’s growth over the forecast period. It also highlights the drivers, restraints, and opportunities expected to influence the market growth during this period. The study provides a holistic perspective on the market’s growth in terms of revenue (in US$ Bn), across different smart education and learning delivery models and end-uses.
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– Get Sample Report https://www.researchmoz.us/enquiry.php?type=S&repid=893318
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The market overview section of the report showcases the market’s dynamics and trends such as the drivers, restraints, and opportunities that influence the current nature and future status of this market. Moreover, the report profiles the key players in the ASEAN smart education and learning market and provides the overview of various strategies adopted by them and analyzes their behavior in the prevailing market dynamics.
– ASEAN Smart Education and Learning Market: Segmentation –
Based on delivery model, the report segments the ASEAN smart education and learning market into classroom-based, desktop/mobile-based and simulation based. Majority of the countries in the ASEAN region have a high rate of smartphone penetration. This has led to the increased use of smartphones for learning purposes. Additionally, most of the ASEAN countries have access to high speed internet connections. This further facilitates the ease of using smartphones for education and learning purposes. As a result, the desktop/mobile-based segment is the largest segment in terms of delivery model. Application of virtual reality in classrooms and the use of smart tools for learning are contributing towards the growth of the simulation-based and classroom-based delivery models. However, high initial costs and maintenance costs are hindering the growth of these segments.
On the basis of end-use, the ASEAN smart education and learning market has been segmented into higher education, transnational education, technical vocation & technical education (TVET), language training (English), early childcare & pre-school, continual professional development, and qualifications, assessment & standards. Owing to the wide scale popularity of Massive Open Online Courses (MOOCs) for their diverse courses that are offered by various international universities, transnational education is one of the fastest growing segments in terms of end-use. Furthermore, there is a growing demand for English language learning courses to increase one’s employability as English is the official language of the ASEAN Economic Community (AEC).
– ASEAN Smart Education and Learning Market: Geographical Dynamics –
In terms of country, the ASEAN smart education region has been divided into Malaysia, Philippines, Indonesia, Singapore, Thailand, Vietnam and Rest of ASEAN countries (Cambodia, Laos, Burma & Brunei). Of these, Malaysia has a huge demand for English language learning courses and higher education courses. It is the largest segment as of 2015 in the ASEAN smart education and learning market. Malaysia is followed by Indonesia in terms of revenue share as a result of the developed state of ICT infrastructure in the country and availability of high speed internet. Additionally, high rate of smartphone penetration and the launch of AEC are also contributing factors towards the growth of the smart education and learning market in these countries.
The report segments the ASEAN smart education and learning market on the basis of various delivery models such as classroom-based, desktop/ mobile-based and simulation-based. On the basis of end-use, the ASEAN smart education and learning market has been segmented into Higher Education, Transnational Education, TVET, Language Training (English), Early Childcare & Pre-School, Continual Professional Development, and Qualifications, Assessment & Standards.
– The ASEAN smart education and learning market has been segmented as below: –
– The ASEAN Smart Education and Learning, By Delivery Model
Classroom- Based
Desktop/Mobile-Based
Simulation-Based
– The ASEAN Smart Education and Learning Analysis, By End-use
Higher Education
Transnational Education
TVET
Language Training
Early Childcare & Pre-School
Continual Professional Development
Qualifications, Assessment & Standards
– The ASEAN Smart Education and Learning Analysis, By Country
Malaysia
Philippines
Indonesia
Singapore
Thailand
Vietnam
Rest of ASEAN (Cambodia, Laos, Burma & Brunei)
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– More Clear Details get Table of Contents https://www.researchmoz.us/smart-education-and-learning-market-asean-industry-analysis-size-share-growth-trends-and-forecast-2016-2020-report.html/toc
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1. Preface
1.1. Market Definition & Scope
1.2. Market Segmentation
1.3. Key Research Objectives
1.4. Research Highlights
2. Assumptions & Research Methodology
3. Executive Summary : Association of Southeast Asian Nations (ASEAN) Smart Education & Learning Market
4. Market Overview
4.1. Introduction
4.1.1. Product Definition
4.1.2. Industry Evolution / Developments
4.2. Educational Technology (Ed Tech) Market Overview
4.3. Key Market Indicators
4.3.1. Smart Schools
4.3.2. Higher Education Rate
4.3.3. ICT Spending in Education
4.3.4. Government Plans and Initiatives
4.3.5. Learning Management System
4.4. Market Dynamics
4.4.1. Drivers
4.4.2. Restraints
4.4.3. Opportunity
4.5. ASEAN Smart Education & Learning Market Analysis & Forecasts, 2015 – 2020
4.5.1. Market Revenue Projections (US$ Mn)
4.6. Porter’s Five Force Analysis
4.7. Market Outlook
5. ASEAN Smart Education & Learning Market Analysis & Forecasts, By Delivery Model
5.1. Introduction & Definition
5.2. Key Findings / Developments
5.3. Key Trends
5.4. Market Size (US$ Mn) Forecast By Delivery Model, 2015 – 2020
5.4.1. Classroom/Learning Centre-Based
5.4.2. Desktop/Mobile-Based
5.4.3. Simulation-Based
5.5. Market Attractiveness By Delivery Model
6. ASEAN Smart Education & Learning Market Analysis & Forecasts, By End-Use
6.1. Introduction & Definition
6.2. Key Findings / Developments
6.3. Key Trends
6.4. Market Size (US$ Mn) Forecast By End-Use, 2015 – 2020
6.4.1. Higher Education
6.4.2. Transnational Education
6.4.3. Technical Vocation & Technical Education (TVET)
6.4.4. Language Training (English)
6.4.5. Early Childcare & Pre-school
6.4.6. Continual Professional Development (CPD)
6.4.7. Qualifications, Assessment & Standards
6.5. Market Attractiveness By End-Use
7. ASEAN Smart Education & Learning Market Analysis & Forecasts, By Country/Region
7.1. Key Findings
7.2. Policies & Regulations
7.3. Market Size (US$ Mn) Forecast By Country/Region, 2015 – 2020
7.3.1. Malaysia
7.3.2. Indonesia
7.3.3. Philippines
7.3.4. Singapore
7.3.5. Thailand
7.3.6. Vietnam
7.3.7. Rest of ASEAN (Cambodia, Laos, Burma & Brunei etc.)
7.4. Market Attractiveness By Country/Region
8. Malaysia Smart Education & Learning Market Analysis & Forecast
8.1. Key Findings
8.2. Key Trends
8.3. Market Size (US$ Mn) Forecast, By Delivery Model, 2015 – 2020
8.3.1. Classroom/Learning Centre-Based
8.3.2. Desktop/Mobile-Based
8.3.3. Simulation-Based
8.4. Market Size (US$ Mn) Forecast By End-Use, 2015 – 2020
8.4.1. Higher Education
8.4.2. Transnational Education
8.4.3. Technical Vocation & Technical Education (TVET)
8.4.4. Language Training (English)
8.4.5. Early Childcare & Pre-school
8.4.6. Continual Professional Development (CPD)
8.4.7. Qualifications, Assessment & Standards
8.5. Market Attractiveness Analysis
8.5.1. By Delivery Model
8.5.2. By End-Use
9. Indonesia Smart Education & Learning Market Analysis & Forecast
9.1. Key Findings
9.2. Key Trends
9.3. Market Size (US$ Mn) Forecast, By Delivery Model, 2015 – 2020
9.3.1. Classroom/Learning Centre-Based
9.3.2. Desktop/Mobile-Based
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