封面
市场调查报告书
商品编码
1752100

数位教育市场(至 2035 年):交付模式、设备类型、最终用户、公司规模、商业模式、区域分布、产业趋势、全球预测

Digital Education Market, Till 2035: Distribution by Type of Delivery Mode, Type of Device, End User, Company Size, Type of Business Model and Key Geographical Regions: Industry Trends and Global Forecasts: Industry Trends and Global Forecasts

出版日期: | 出版商: Roots Analysis | 英文 204 Pages | 商品交期: 2-10个工作天内

价格
简介目录

预计全球数位教育市场规模将从目前的 241 亿美元成长至 2035 年的 2,223.2 亿美元,预测期内的复合年增长率为 22.38%。

Digital Education Market-IMG1

数位教育的市场机会:各市场区隔

按传送模式

  • 混成式学习
  • 线上学习
  • 虚拟实境 (VR) 学习

各设备

  • 桌上型电脑(桌面)/笔记型电脑
  • 行动装置
  • 穿戴式设备

按检定资格

  • 检定课程
  • 学位计划
  • 文凭课程
  • 非检定课程

学习类别

  • 教练主导
  • 自己步调

按课程

  • 商务管理
  • STEM
  • 其他

适用模式别

  • 扩增实境 (AR)
  • 聊天机器人和人工智慧助手
  • 基于电子邮件的学习
  • 学习管理系统 (LMS)
  • 行动应用程式
  • 视讯会议工具
  • 虚拟实境 (VR)
  • 基于 Web 的平台
  • 其他

各终端用户

  • 教育机关
  • 个人学习者
  • 学校
  • 大学
  • 企业·公共机关
  • 企业
  • 政府机关
  • 其他

不同企业规模

  • 大企业
  • 中小企业

不同商业模式

  • B2B
  • B2C
  • B2B2C

各地区

  • 北美
  • 美国
  • 加拿大
  • 墨西哥
  • 其他的北美各国
  • 欧洲
  • 奥地利
  • 比利时
  • 丹麦
  • 法国
  • 德国
  • 爱尔兰
  • 义大利
  • 荷兰
  • 挪威
  • 俄罗斯
  • 西班牙
  • 瑞典
  • 瑞士
  • 英国
  • 其他欧洲各国
  • 亚洲
  • 中国
  • 印度
  • 日本
  • 新加坡
  • 韩国
  • 其他亚洲各国
  • 南美
  • 巴西
  • 智利
  • 哥伦比亚
  • 委内瑞拉
  • 其他的南美各国
  • 中东·北非
  • 埃及
  • 伊朗
  • 伊拉克
  • 以色列
  • 科威特
  • 沙乌地阿拉伯
  • 阿拉伯联合大公国
  • 其他的MENA各国
  • 全球其他地区
  • 澳洲
  • 纽西兰
  • 其他的国家

数位教育市场:成长与趋势

数位教育产业正在快速发展,并正在透过采用尖端技术来重塑传统的学习方式。该行业在改善各种学习环境中的教育交付、可及性和个人化方面发挥关键作用。它包括各种解决方案,例如线上课程、虚拟教室、学习管理系统 (LMS) 和教育应用程序,旨在改善学习成果并确保可及性、参与度和一致性。

对多样化和便利教育的需求日益增长,推动了传统课堂环境向数位平台的转变,从而提高了学习效率,并降低了学生和教育机构的成本。这种转变正在拓展教育的覆盖面,并支持产业的发展。此外,对技能提升和持续学习的日益增长的需求,也推动了数位教育解决方案的采用。这些技术也有助于维持教育标准并遵守各种法规。

然而,对先进数位教育平台的初始投资可能会成为阻碍,尤其是对于规模较小的教育机构而言。网路威胁也是线上学习环境面临的一大课题。然而,儘管存在这些障碍,但由于扩展机会和创新解决方案的出现,市场仍在经历显着成长。

人工智慧和虚拟实境 (VR) 等尖端工具在个人化学习、分析和参与度方面提供了更多可能性。这些技术有望改善学习成果,降低辍学率,并促进更优质的教育成果,预计数位教育市场在未来预测期内将大幅成长。

本报告提供全球数位教育的市场调查,彙整市场概要,背景,市场影响因素的分析,市场规模的转变·预测,各种区分·各地区的详细分析,竞争情形,主要企业简介等资讯。

目录

第1章 序文

第2章 调查手法

第3章 经济以及其他的计划特有的考虑事项

第4章 宏观经济指标

第5章 摘要整理

第6章 简介

第7章 竞争情形

第8章 企业简介

  • Alison
  • Brain4ce
  • Byju's
  • Coursera
  • CreativeLive
  • CXL
  • Datacamp
  • Edmodo
  • edX
  • Federica
  • FutureLearn
  • Go1
  • Intellipaat

第9章 价值链分析

第10章 SWOT分析

第11章 全球数位教育市场

第12章 传送模式的市场机会

第13章 不同设备类型的市场机会

第14章 检定资格的市场机会

第15章 学习类别的市场机会

第16章 课程类别的市场机会

第17章 适用模式别的市场机会

第18章 各终端用户的市场机会

第19章 不同企业规模的市场机会

第20章 不同商业模式的市场机会

第21章 北美数位教育的市场机会

第22章 欧洲的数位教育的市场机会

第23章 亚洲的数位教育的市场机会

第24章 中东·北非的数位教育的市场机会

第25章 南美的数位教育的市场机会

第26章 全球其他地区的数位教育的市场机会

第27章 表格形式资料

第28章 企业·团体一览

第29章 客制化的机会

第30章 ROOTS 订阅服务

第31章 作者详情

简介目录
Product Code: RAICT300111

Digital Education Market Overview

As per Roots Analysis, the global digital education market size is estimated to grow from USD 24.10 billion in the current year to USD 222.32 billion by 2035, at a CAGR of 22.38% during the forecast period, till 2035.

Digital Education Market - IMG1

The opportunity for digital education market has been distributed across the following segments:

Type of Delivery Mode

  • Blended Learning
  • Online Learning
  • Virtual Reality (VR) Learning

Type of Device

  • Desktop / Laptop
  • Mobile Devices
  • Wearable Devices

Type of Certification

  • Certificate Courses
  • Degree Programs
  • Diploma Courses
  • Non-certification Courses

Type of Learning

  • Instructor-led
  • Self-paced

Type of Course

  • Business Management
  • STEM
  • Others

Mode of Application

  • Augmented Reality (AR)
  • Chatbots and AI Assistants
  • Email-based Learning
  • Learning Management Systems (LMS)
  • Mobile Applications
  • Video Conferencing Tools
  • Virtual Reality (VR)
  • Web-based Platforms
  • Others

End User

  • Academic
  • Individual learners
  • Schools
  • Universities
  • Enterprises & Public Sector
  • Corporations
  • Government organizations
  • Others

Company Size

  • Large Enterprises
  • Small and Medium-sized Enterprises (SMEs)

Business Model

  • B2B
  • B2C
  • B2B2C

Geographical Regions

  • North America
  • US
  • Canada
  • Mexico
  • Other North American countries
  • Europe
  • Austria
  • Belgium
  • Denmark
  • France
  • Germany
  • Ireland
  • Italy
  • Netherlands
  • Norway
  • Russia
  • Spain
  • Sweden
  • Switzerland
  • UK
  • Other European countries
  • Asia
  • China
  • India
  • Japan
  • Singapore
  • South Korea
  • Other Asian countries
  • Latin America
  • Brazil
  • Chile
  • Colombia
  • Venezuela
  • Other Latin American countries
  • Middle East and North Africa
  • Egypt
  • Iran
  • Iraq
  • Israel
  • Kuwait
  • Saudi Arabia
  • UAE
  • Other MENA countries
  • Rest of the World
  • Australia
  • New Zealand
  • Other countries

DIGITAL EDUCATION MARKET: GROWTH AND TRENDS

The digital education landscape is a rapidly evolving domain, that is reshaping conventional learning by incorporating advanced technologies. This sector plays a vital role in improving educational delivery, accessibility, and personalization across various learning settings. It includes an array of solutions such as online courses, virtual classrooms, learning management systems (LMS), and educational applications, all focused on enhancing learning outcomes and accessibility while ensuring engagement and consistency.

The growing demand for versatile and accessible education has prompted a transition from traditional classroom environments to digital platforms, which boosts learning efficiency and reduces expenses for both students and institutions. This transformation has expanded access to education and fueled the growth of the industry. Moreover, the rising need for skill enhancement and continuous learning fosters the uptake of digital education solutions. These technologies aid in preserving educational standards and adapting to different regulatory demands.

Conversely, the upfront investment required for sophisticated digital education platforms can impede progress, particularly for smaller institutions. In addition, cyber threats present notable challenges for online learning settings. Despite these hurdles, the market is experiencing remarkable growth due to opportunities for expansion and the launch of innovative solutions.

Cutting-edge tools, including Artificial Intelligence (AI) and Virtual Reality (VR), present further possibilities for customized learning, analytics, and engagement. These technologies improve learning effectiveness, lower dropout rates, and enhance potential educational outcomes, suggesting that the digital education market is expected to witness significant growth during the forecast period.

DIGITAL EDUCATION MARKET: KEY SEGMENTS

Market Share by Type of Delivery Mode

Based on type of delivery mode, the global digital education market is segmented into blended learning, online learning, and virtual reality (VR) learning. According to our estimates, currently, online learning segment captures the majority share of the market. This can be attributed to the fact that online education platforms present a variety of courses that can be accessed from any location, including online marketing classes, tailored to meet different learning preferences and schedules. The rise of high-speed internet and advancements in technology have played a critical role in its increasing popularity.

Market Share by Type of Device

Based on type of device, the digital education market is segmented into desktop / laptop, mobile devices, and wearable devices. According to our estimates, currently, mobile devices segment captures the majority of the market. This is attributed to their portability, accessibility, and the growing global penetration of smartphones, enabling learners to access educational materials at any time and from any location. Mobile devices facilitate various learning applications and platforms, which makes them exceptionally adaptable for learning while on the move.

Market Share by Type of Certification

Based on type of certification, the digital education market is segmented into certificate courses, degree programs, diploma courses, and non-certification courses. According to our estimates, currently, certificate courses segment captures the majority share of the market. This can be attributed to the fact that they are cost-effective, have a shorter timeframe, and provide specific, practical skills that align with current job market demands.

The rising need for upskilling and career advancement fuels the appeal of certificate programs, as they deliver focused learning results and prompt returns on investment, further enhancing market growth.

Market Share by Type of Learning

Based on type of learning, the digital education market is segmented into instructor-led and self-paced learning. According to our estimates, currently, self-paced learning segment captures the majority share of the market. This can be attributed to its convenience and flexibility, enabling learners to advance at their own pace and integrate their studies with other responsibilities. This approach caters to various learning preferences and schedules, making it very appealing to a wide range of individuals.

Market Share by Type of Course

Based on type of course, the digital education market is segmented into business management, and science, technology, engineering and mathematics (STEM), and others. According to our estimates, currently, engineering and mathematics (STEM) segment captures the majority share of the market. This can be attributed to the strong demand fueled by ongoing technological advancements and a rising need for technical abilities across different industries.

The emphasis on STEM education responds to skill shortages and fosters innovation, positioning it as a key priority for both students and educational organizations. Additionally, the increasing focus on career centered around technology further propels the market growth.

Market Share by Mode of Application

Based on mode of application, the digital education market is segmented into augmented reality (AR), chatbots and AI assistants, Email-based learning, learning management systems (LMS), mobile applications, video conferencing tools, virtual reality (VR), web-based platforms, and others. According to our estimates, currently, learning management systems (LMS) segment captures the majority share of the market. This can be attributed to their extensive features that facilitate course management, monitoring, and reporting. Their ability to scale and integrate well makes them perfect for organizations and institutions aiming to enhance educational functions.

Market Share by End User

Based on end user, the digital education market is segmented into academic (including individual learners, schools, and universities), Enterprises and Public Sector (comprising corporations and government organizations), and others. According to our estimates, currently, academic segment captures the majority share of the market.

This can be attributed to the widespread implementation of digital learning resources in educational settings aimed at improving both teaching and learning experiences. Additionally, the growing need for adaptable and accessible educational options is fueling the growth of this market, as schools and universities adopt digital platforms to cater to various learning requirements.

Market Share by Company Size

Based on company size, the digital education market is segmented into large, and small and mid-size companies. According to our estimates, currently, large enterprises capture the majority share of the market. This can be attributed to the fact that larger firms possess the resources and capabilities to make significant investments in research and development, production infrastructure, and marketing, allowing them to offer digital education at a lower cost per unit than their smaller rivals.

Additionally, digital education options in medium and small companies serve as affordable alternatives that maintain good quality. This segment is anticipated capture a larger share, during the forecast period, owing to rising demand and improved availability of digital education in the market.

Market Share by Business Model

Based on business model, the digital education market is segmented into B2B, B2C and B2B2C. According to our estimates, currently, B2B segment captures the majority share of the market. This can be attributed to the rising use of digital education technology across various sectors, including aerospace, manufacturing, healthcare, finance, and more.

However, B2C model is expected to grow at a relatively higher CAGR during the forecast period, owing to the fact that digital education technologies become more accessible to users, with consumers increasingly opting for personalized applications, smartphone compatibility, and enhanced user experiences.

Market Share by Geographical Regions

Based on geographical regions, the digital education market is segmented into North America, Europe, Asia, Latin America, Middle East and North Africa, and the rest of the world. According to our estimates, currently, North America captures the majority share of the market. This can be attributed to its sophisticated technological infrastructure, high levels of internet access, and the prevalent use of online learning platforms.

Further, substantial investments from both public and private sectors contribute to the advancement and innovation of digital education technologies. Prominent universities and educational institutions in North America have also adopted digital transformation, providing a diverse selection of online courses and programs that draw a global audience.

Example Players in Digital Education Market

  • Alison
  • Brain4ce
  • Byju's
  • Coursera
  • CreativeLive
  • CXL
  • Datacamp
  • Edmodo
  • edX
  • Federica
  • FutureLearn
  • Go1
  • Intellipaat
  • Iversity
  • Jigsaw
  • Kadenze
  • Khan Academy
  • LinkedIn
  • Linkstreet Learnin
  • Miriadax
  • My Mooc
  • NovoEd
  • Platzi
  • Pluralsight
  • Rosetta Stone
  • Skillshare
  • SWAYAM
  • Thinkful
  • Treehouse
  • Udacity
  • Udemy
  • Xuetangx

DIGITAL EDUCATION MARKET: RESEARCH COVERAGE

The report on the digital education market features insights on various sections, including:

  • Market Sizing and Opportunity Analysis: An in-depth analysis of the digital education market, focusing on key market segments, including [A] type of delivery mode, [B] type of device, [C] type of certification, [D] type of learning, [E] type of course, [F] mode of application, [G] end user, [H] company size, [I] type of business model and [J] key geographical regions
  • Competitive Landscape: A comprehensive analysis of the companies engaged in the digital education market, based on several relevant parameters, such as [A] year of establishment, [B] company size, [C] location of headquarters and [D] ownership structure.
  • Company Profiles: Elaborate profiles of prominent players engaged in the digital education market, providing details on [A] location of headquarters, [B] company size, [C] company mission, [D] company footprint, [E] management team, [F] contact details, [G] financial information, [H] operating business segments, [I] service / product portfolio, [J] moat analysis, [K] recent developments, and an informed future outlook.
  • SWOT Analysis: An insightful SWOT framework, highlighting the strengths, weaknesses, opportunities and threats in the domain. Additionally, it provides Harvey ball analysis, highlighting the relative impact of each SWOT parameter.

KEY QUESTIONS ANSWERED IN THIS REPORT

  • How many companies are currently engaged in digital education market?
  • Which are the leading companies in this market?
  • What factors are likely to influence the evolution of this market?
  • What is the current and future market size?
  • What is the CAGR of this market?
  • How is the current and future market opportunity likely to be distributed across key market segments?

REASONS TO BUY THIS REPORT

  • The report provides a comprehensive market analysis, offering detailed revenue projections of the overall market and its specific sub-segments. This information is valuable to both established market leaders and emerging entrants.
  • Stakeholders can leverage the report to gain a deeper understanding of the competitive dynamics within the market. By analyzing the competitive landscape, businesses can make informed decisions to optimize their market positioning and develop effective go-to-market strategies.
  • The report offers stakeholders a comprehensive overview of the market, including key drivers, barriers, opportunities, and challenges. This information empowers stakeholders to stay abreast of market trends and make data-driven decisions to capitalize on growth prospects.

ADDITIONAL BENEFITS

  • Complimentary Excel Data Packs for all Analytical Modules in the Report
  • 15% Free Content Customization
  • Detailed Report Walkthrough Session with Research Team
  • Free Updated report if the report is 6-12 months old or older

TABLE OF CONTENTS

1. PREFACE

  • 1.1. Introduction
  • 1.2. Market Share Insights
  • 1.3. Key Market Insights
  • 1.4. Report Coverage
  • 1.5. Key Questions Answered
  • 1.6. Chapter Outlines

2. RESEARCH METHODOLOGY

  • 2.1. Chapter Overview
  • 2.2. Research Assumptions
  • 2.3. Database Building
    • 2.3.1. Data Collection
    • 2.3.2. Data Validation
    • 2.3.3. Data Analysis
  • 2.4. Project Methodology
    • 2.4.1. Secondary Research
      • 2.4.1.1. Annual Reports
      • 2.4.1.2. Academic Research Papers
      • 2.4.1.3. Company Websites
      • 2.4.1.4. Investor Presentations
      • 2.4.1.5. Regulatory Filings
      • 2.4.1.6. White Papers
      • 2.4.1.7. Industry Publications
      • 2.4.1.8. Conferences and Seminars
      • 2.4.1.9. Government Portals
      • 2.4.1.10. Media and Press Releases
      • 2.4.1.11. Newsletters
      • 2.4.1.12. Industry Databases
      • 2.4.1.13. Roots Proprietary Databases
      • 2.4.1.14. Paid Databases and Sources
      • 2.4.1.15. Social Media Portals
      • 2.4.1.16. Other Secondary Sources
    • 2.4.2. Primary Research
      • 2.4.2.1. Introduction
      • 2.4.2.2. Types
        • 2.4.2.2.1. Qualitative
        • 2.4.2.2.2. Quantitative
      • 2.4.2.3. Advantages
      • 2.4.2.4. Techniques
        • 2.4.2.4.1. Interviews
        • 2.4.2.4.2. Surveys
        • 2.4.2.4.3. Focus Groups
        • 2.4.2.4.4. Observational Research
        • 2.4.2.4.5. Social Media Interactions
      • 2.4.2.5. Stakeholders
        • 2.4.2.5.1. Company Executives (CXOs)
        • 2.4.2.5.2. Board of Directors
        • 2.4.2.5.3. Company Presidents and Vice Presidents
        • 2.4.2.5.4. Key Opinion Leaders
        • 2.4.2.5.5. Research and Development Heads
        • 2.4.2.5.6. Technical Experts
        • 2.4.2.5.7. Subject Matter Experts
        • 2.4.2.5.8. Scientists
        • 2.4.2.5.9. Doctors and Other Healthcare Providers
      • 2.4.2.6. Ethics and Integrity
        • 2.4.2.6.1. Research Ethics
        • 2.4.2.6.2. Data Integrity
    • 2.4.3. Analytical Tools and Databases

3. ECONOMIC AND OTHER PROJECT SPECIFIC CONSIDERATIONS

  • 3.1. Forecast Methodology
    • 3.1.1. Top-Down Approach
    • 3.1.2. Bottom-Up Approach
    • 3.1.3. Hybrid Approach

3.2. Market Assessment Framework

    • 3.2.1. Total Addressable Market (TAM)
    • 3.2.2. Serviceable Addressable Market (SAM)
    • 3.2.3. Serviceable Obtainable Market (SOM)
    • 3.2.4. Currently Acquired Market (CAM)
  • 3.3. Forecasting Tools and Techniques
    • 3.3.1. Qualitative Forecasting
    • 3.3.2. Correlation
    • 3.3.3. Regression
    • 3.3.4. Time Series Analysis
    • 3.3.5. Extrapolation
    • 3.3.6. Convergence
    • 3.3.7. Forecast Error Analysis
    • 3.3.8. Data Visualization
    • 3.3.9. Scenario Planning
    • 3.3.10. Sensitivity Analysis
  • 3.4. Key Considerations
    • 3.4.1. Demographics
    • 3.4.2. Market Access
    • 3.4.3. Reimbursement Scenarios
    • 3.4.4. Industry Consolidation
  • 3.5. Robust Quality Control
  • 3.6. Key Market Segmentations
  • 3.7. Limitations

4. MACRO-ECONOMIC INDICATORS

  • 4.1. Chapter Overview
  • 4.2. Market Dynamics
    • 4.2.1. Time Period
      • 4.2.1.1. Historical Trends
      • 4.2.1.2. Current and Forecasted Estimates
    • 4.2.2. Currency Coverage
      • 4.2.2.1. Overview of Major Currencies Affecting the Market
      • 4.2.2.2. Impact of Currency Fluctuations on the Industry
    • 4.2.3. Foreign Exchange Impact
      • 4.2.3.1. Evaluation of Foreign Exchange Rates and Their Impact on Market
      • 4.2.3.2. Strategies for Mitigating Foreign Exchange Risk
    • 4.2.4. Recession
      • 4.2.4.1. Historical Analysis of Past Recessions and Lessons Learnt
      • 4.2.4.2. Assessment of Current Economic Conditions and Potential Impact on the Market
    • 4.2.5. Inflation
      • 4.2.5.1. Measurement and Analysis of Inflationary Pressures in the Economy
      • 4.2.5.2. Potential Impact of Inflation on the Market Evolution
    • 4.2.6. Interest Rates
      • 4.2.6.1. Overview of Interest Rates and Their Impact on the Market
      • 4.2.6.2. Strategies for Managing Interest Rate Risk
    • 4.2.7. Commodity Flow Analysis
      • 4.2.7.1. Type of Commodity
      • 4.2.7.2. Origins and Destinations
      • 4.2.7.3. Values and Weights
      • 4.2.7.4. Modes of Transportation
    • 4.2.8. Global Trade Dynamics
      • 4.2.8.1. Import Scenario
      • 4.2.8.2. Export Scenario
    • 4.2.9. War Impact Analysis
      • 4.2.9.1. Russian-Ukraine War
      • 4.2.9.2. Israel-Hamas War
    • 4.2.10. COVID Impact / Related Factors
      • 4.2.10.1. Global Economic Impact
      • 4.2.10.2. Industry-specific Impact
      • 4.2.10.3. Government Response and Stimulus Measures
      • 4.2.10.4. Future Outlook and Adaptation Strategies
    • 4.2.11. Other Indicators
      • 4.2.11.1. Fiscal Policy
      • 4.2.11.2. Consumer Spending
      • 4.2.11.3. Gross Domestic Product (GDP)
      • 4.2.11.4. Employment
      • 4.2.11.5. Taxes
      • 4.2.11.6. R&D Innovation
      • 4.2.11.7. Stock Market Performance
      • 4.2.11.8. Supply Chain
      • 4.2.11.9. Cross-Border Dynamics

5. EXECUTIVE SUMMARY

6. INTRODUCTION

  • 6.1. Chapter Overview
  • 6.2. Overview of Digital Education
    • 6.2.1. Key Characteristics of Digital Education
    • 6.2.2. Type of Delivery Mode
    • 6.2.3. Type of Device
    • 6.2.4. Type of Certification
    • 6.2.5. Type of Learning
    • 6.2.6. Type of Course
    • 6.2.7. Mode of Application
    • 6.2.8. Type of End User
  • 6.3. Future Perspective

7. COMPETITIVE LANDSCAPE

  • 7.1. Chapter Overview
  • 7.2. Digital Education: Overall Market Landscape
    • 7.2.1. Analysis by Year of Establishment
    • 7.2.2. Analysis by Company Size
    • 7.2.3. Analysis by Location of Headquarters
    • 7.2.4. Analysis by Ownership Structure

8. COMPANY PROFILES

  • 8.1. Chapter Overview
  • 8.2. Alison*
    • 8.2.1. Company Overview
    • 8.2.2. Company Mission
    • 8.2.3. Company Footprint
    • 8.2.4. Management Team
    • 8.2.5. Contact Details
    • 8.2.6. Financial Performance
    • 8.2.7. Operating Business Segments
    • 8.2.8. Service / Product Portfolio (project specific)
    • 8.2.9. MOAT Analysis
    • 8.2.10. Recent Developments and Future Outlook
  • Similar detail is presented for other below mentioned companies based on information in the public domain
  • 8.3. Brain4ce
  • 8.4. Byju's
  • 8.5. Coursera
  • 8.6. CreativeLive
  • 8.7. CXL
  • 8.8. Datacamp
  • 8.9. Edmodo
  • 8.10. edX
  • 8.11. Federica
  • 8.12. FutureLearn
  • 8.13. Go1
  • 8.14. Intellipaat

9. VALUE CHAIN ANALYSIS

10. SWOT ANALYSIS

11. GLOBAL DIGITAL EDUCATION MARKET

  • 11.1. Chapter Overview
  • 11.2. Key Assumptions and Methodology
  • 11.3. Trends Disruption Impacting Market
  • 11.4. Global Digital Education Market, Historical Trends (Since 2018) and Forecasted Estimates (Till 2035)
  • 11.5. Multivariate Scenario Analysis
    • 11.5.1. Conservative Scenario
    • 11.5.2. Optimistic Scenario
  • 11.6. Key Market Segmentations

12. MARKET OPPORTUNITIES BASED ON TYPE OF DELIVERY MODE

  • 12.1. Chapter Overview
  • 12.2. Key Assumptions and Methodology
  • 12.3. Revenue Shift Analysis
  • 12.4. Market Movement Analysis
  • 12.5. Penetration-Growth (P-G) Matrix
  • 12.6. Digital Education Market for Blended Learning: Historical Trends (Since 2018) and Forecasted Estimates (Till 2035)
  • 12.7. Digital Education Market for Online Learning: Historical Trends (Since 2018) and Forecasted Estimates (Till 2035)
  • 12.8. Digital Education Market for Virtual Reality (VR) Learning: Historical Trends (Since 2018) and Forecasted Estimates (Till 2035)
  • 12.9. Data Triangulation and Validation

13. MARKET OPPORTUNITIES BASED ON TYPE OF DEVICE

  • 13.1. Chapter Overview
  • 13.2. Key Assumptions and Methodology
  • 13.3. Revenue Shift Analysis
  • 13.4. Market Movement Analysis
  • 13.5. Penetration-Growth (P-G) Matrix
  • 13.6. Digital Education Market for Desktop/Laptop: Historical Trends (Since 2018) and Forecasted Estimates (Till 2035)
  • 13.7. Digital Education Market for Mobile Devices: Historical Trends (Since 2018) and Forecasted Estimates (Till 2035)
  • 13.8. Digital Education Market for Wearable Devices: Historical Trends (Since 2018) and Forecasted Estimates (Till 2035)
  • 13.9. Data Triangulation and Validation

14. MARKET OPPORTUNITIES BASED ON TYPE OF CERTIFICATION

  • 14.1. Chapter Overview
  • 14.2. Key Assumptions and Methodology
  • 14.3. Revenue Shift Analysis
  • 14.4. Market Movement Analysis
  • 14.5. Penetration-Growth (P-G) Matrix
  • 14.6. Digital Education Market for Certificate Courses: Historical Trends (Since 2018) and Forecasted Estimates (Till 2035)
  • 14.7. Digital Education Market for Degree Programs: Historical Trends (Since 2018) and Forecasted Estimates (Till 2035)
  • 14.8. Digital Education Market for Diploma Courses: Historical Trends (Since 2018) and Forecasted Estimates (Till 2035)
  • 14.9. Digital Education Market for Non-certification Courses: Historical Trends (Since 2018) and Forecasted Estimates (Till 2035)
  • 14.10. Data Triangulation and Validation

15. MARKET OPPORTUNITIES BASED ON TYPE OF LEARNING

  • 15.1. Chapter Overview
  • 15.2. Key Assumptions and Methodology
  • 15.3. Revenue Shift Analysis
  • 15.4. Market Movement Analysis
  • 15.5. Penetration-Growth (P-G) Matrix
  • 15.6. Digital Education Market for Instructor-led: Historical Trends (Since 2018) and Forecasted Estimates (Till 2035)
  • 15.7. Digital Education Market for Self-paced: Historical Trends (Since 2018) and Forecasted Estimates (Till 2035)
  • 15.8. Data Triangulation and Validation

16. MARKET OPPORTUNITIES BASED ON TYPE OF COURSE

  • 16.1. Chapter Overview
  • 16.2. Key Assumptions and Methodology
  • 16.3. Revenue Shift Analysis
  • 16.4. Market Movement Analysis
  • 16.5. Penetration-Growth (P-G) Matrix
  • 16.6. Digital Education Market for Business Management: Historical Trends (Since 2018) and Forecasted Estimates (Till 2035)
  • 16.7. Digital Education Market for STEM: Historical Trends (Since 2018) and Forecasted Estimates (Till 2035)
  • 16.8. Digital Education Market for Others: Historical Trends (Since 2018) and Forecasted Estimates (Till 2035)
  • 16.9. Data Triangulation and Validation

17. MARKET OPPORTUNITIES BASED ON MODE OF APPLICATION

  • 17.1. Chapter Overview
  • 17.2. Key Assumptions and Methodology
  • 17.3. Revenue Shift Analysis
  • 17.4. Market Movement Analysis
  • 17.5. Penetration-Growth (P-G) Matrix
  • 17.6. Digital Education Market for Augmented Reality: Historical Trends (Since 2018) and Forecasted Estimates (Till 2035)
  • 17.7. Digital Education Market for Chatbots and AI Assistants: Historical Trends (Since 2018) and Forecasted Estimates (Till 2035)
  • 17.8. Digital Education Market for Email-based Learning: Historical Trends (Since 2018) and Forecasted Estimates (Till 2035)
  • 17.9. Digital Education Market for Learning Management Systems: Historical Trends (Since 2018) and Forecasted Estimates (Till 2035)
  • 17.10. Digital Education Market for Mobile Applications: Historical Trends (Since 2018) and Forecasted Estimates (Till 2035)
  • 17.11. Digital Education Market for Video Conferencing Tools: Historical Trends (Since 2018) and Forecasted Estimates (Till 2035)
  • 17.12. Digital Education Market for Virtual Reality: Historical Trends (Since 2018) and Forecasted Estimates (Till 2035)
  • 17.13. Digital Education Market for Web-based Platforms: Historical Trends (Since 2018) and Forecasted Estimates (Till 2035)
  • 17.14. Digital Education Market for Others: Historical Trends (Since 2018) and Forecasted Estimates (Till 2035)
  • 17.15. Data Triangulation and Validation

18. MARKET OPPORTUNITIES BASED ON END USER

  • 18.1. Chapter Overview
  • 18.2. Key Assumptions and Methodology
  • 18.3. Revenue Shift Analysis
  • 18.4. Market Movement Analysis
  • 18.5. Penetration-Growth (P-G) Matrix
  • 18.6. Digital Education Market for Academic: Historical Trends (Since 2018) and Forecasted Estimates (Till 2035)
  • 18.7. Digital Education Market for Enterprises & Public Sector: Historical Trends (Since 2018) and Forecasted Estimates (Till 2035)
  • 18.8. Digital Education Market for Others: Historical Trends (Since 2018) and Forecasted Estimates (Till 2035)
  • 18.9. Data Triangulation and Validation

19. MARKET OPPORTUNITIES BASED ON COMPANY SIZE

  • 19.1. Chapter Overview
  • 19.2. Key Assumptions and Methodology
  • 19.3. Revenue Shift Analysis
  • 19.4. Market Movement Analysis
  • 19.5. Penetration-Growth (P-G) Matrix
  • 19.6. Digital Education Market for Large Enterprises: Historical Trends (Since 2018) and Forecasted Estimates (Till 2035)
  • 19.7. Digital Education Market for Small and Medium-sized Enterprises (SMEs): Historical Trends (Since 2018) and Forecasted Estimates (Till 2035)
  • 19.8. Data Triangulation and Validation

20. MARKET OPPORTUNITIES BASED ON BUSINESS MODEL

  • 20.1. Chapter Overview
  • 20.2. Key Assumptions and Methodology
  • 20.3. Revenue Shift Analysis
  • 20.4. Market Movement Analysis
  • 20.5. Penetration-Growth (P-G) Matrix
  • 20.6. Digital Education Market for B2B: Historical Trends (Since 2018) and Forecasted Estimates (Till 2035)
  • 20.7. Digital Education Market for B2C: Historical Trends (Since 2018) and Forecasted Estimates (Till 2035)
  • 20.8. Digital Education Market for B2B2C: Historical Trends (Since 2018) and Forecasted Estimates (Till 2035)
  • 20.9. Data Triangulation and Validation

21. MARKET OPPORTUNITIES FOR DIGITAL EDUCATION IN NORTH AMERICA

  • 21.1. Chapter Overview
  • 21.2. Key Assumptions and Methodology
  • 21.3. Revenue Shift Analysis
  • 21.4. Market Movement Analysis
  • 21.5. Penetration-Growth (P-G) Matrix
  • 21.6. Digital Education Market in North America: Historical Trends (Since 2018) and Forecasted Estimates (Till 2035)
    • 21.6.1. Digital Education Market in the US: Historical Trends (Since 2018) and Forecasted Estimates (Till 2035)
    • 21.6.2. Digital Education Market in Canada: Historical Trends (Since 2018) and Forecasted Estimates (Till 2035)
    • 21.6.3. Digital Education Market in Mexico: Historical Trends (Since 2018) and Forecasted Estimates (Till 2035)
    • 21.6.4. Digital Education Market in Other North American Countries: Historical Trends (Since 2018) and Forecasted Estimates (Till 2035)
  • 21.7. Data Triangulation and Validation

22. MARKET OPPORTUNITIES FOR DIGITAL EDUCATION IN EUROPE

  • 22.1. Chapter Overview
  • 22.2. Key Assumptions and Methodology
  • 22.3. Revenue Shift Analysis
  • 22.4. Market Movement Analysis
  • 22.5. Penetration-Growth (P-G) Matrix
  • 22.6. Digital Education Market in Europe: Historical Trends (Since 2018) and Forecasted Estimates (Till 2035)
    • 22.6.1. Digital Education Market in the Austria: Historical Trends (Since 2018) and Forecasted Estimates (Till 2035)
    • 22.6.2. Digital Education Market in Belgium: Historical Trends (Since 2018) and Forecasted Estimates (Till 2035)
    • 22.6.3. Digital Education Market in Denmark: Historical Trends (Since 2018) and Forecasted Estimates (Till 2035)
    • 22.6.4. Digital Education Market in France: Historical Trends (Since 2018) and Forecasted Estimates (Till 2035)
    • 22.6.5. Digital Education Market in Germany: Historical Trends (Since 2018) and Forecasted Estimates (Till 2035)
    • 22.6.6. Digital Education Market in Ireland: Historical Trends (Since 2018) and Forecasted Estimates (Till 2035)
    • 22.6.7. Digital Education Market in Italy: Historical Trends (Since 2018) and Forecasted Estimates (Till 2035)
    • 22.6.8. Digital Education Market in the Netherlands: Historical Trends (Since 2018) and Forecasted Estimates (Till 2035)
    • 22.6.9. Digital Education Market in Norway: Historical Trends (Since 2018) and Forecasted Estimates (Till 2035)
    • 22.6.10. Digital Education Market in Russia: Historical Trends (Since 2018) and Forecasted Estimates (Till 2035)
    • 22.6.11. Digital Education Market in Spain: Historical Trends (Since 2018) and Forecasted Estimates (Till 2035)
    • 22.6.12. Digital Education Market in Sweden: Historical Trends (Since 2018) and Forecasted Estimates (Till 2035)
    • 22.6.13. Digital Education Market in Switzerland: Historical Trends (Since 2018) and Forecasted Estimates (Till 2035)
    • 22.6.14. Digital Education Market in the UK: Historical Trends (Since 2018) and Forecasted Estimates (Till 2035)
    • 22.6.15. Digital Education Market in Other European Countries: Historical Trends (Since 2018) and Forecasted Estimates (Till 2035)
  • 22.7. Data Triangulation and Validation

23. MARKET OPPORTUNITIES FOR DIGITAL EDUCATION IN ASIA

  • 23.1. Chapter Overview
  • 23.2. Key Assumptions and Methodology
  • 23.3. Revenue Shift Analysis
  • 23.4. Market Movement Analysis
  • 23.5. Penetration-Growth (P-G) Matrix
  • 23.6. Digital Education Market in Asia: Historical Trends (Since 2018) and Forecasted Estimates (Till 2035)
    • 23.6.1. Digital Education Market in China: Historical Trends (Since 2018) and Forecasted Estimates (Till 2035)
    • 23.6.2. Digital Education Market in India: Historical Trends (Since 2018) and Forecasted Estimates (Till 2035)
    • 23.6.3. Digital Education Market in Japan: Historical Trends (Since 2018) and Forecasted Estimates (Till 2035)
    • 23.6.4. Digital Education Market in Singapore: Historical Trends (Since 2018) and Forecasted Estimates (Till 2035)
    • 23.6.5. Digital Education Market in South Korea: Historical Trends (Since 2018) and Forecasted Estimates (Till 2035)
    • 23.6.6. Digital Education Market in Other Asian Countries: Historical Trends (Since 2018) and Forecasted Estimates (Till 2035)
  • 23.7. Data Triangulation and Validation

24. MARKET OPPORTUNITIES FOR DIGITAL EDUCATION IN MIDDLE EAST AND NORTH AFRICA (MENA)

  • 24.1. Chapter Overview
  • 24.2. Key Assumptions and Methodology
  • 24.3. Revenue Shift Analysis
  • 24.4. Market Movement Analysis
  • 24.5. Penetration-Growth (P-G) Matrix
  • 24.6. Digital Education Market in Middle East and North Africa (MENA): Historical Trends (Since 2018) and Forecasted Estimates (Till 2035)
    • 24.6.1. Digital Education Market in Egypt: Historical Trends (Since 2018) and Forecasted Estimates (Till 205)
    • 24.6.2. Digital Education Market in Iran: Historical Trends (Since 2018) and Forecasted Estimates (Till 2035)
    • 24.6.3. Digital Education Market in Iraq: Historical Trends (Since 2018) and Forecasted Estimates (Till 2035)
    • 24.6.4. Digital Education Market in Israel: Historical Trends (Since 2018) and Forecasted Estimates (Till 2035)
    • 24.6.5. Digital Education Market in Kuwait: Historical Trends (Since 2018) and Forecasted Estimates (Till 2035)
    • 24.6.6. Digital Education Market in Saudi Arabia: Historical Trends (Since 2018) and Forecasted Estimates (Till 2035)
    • 24.6.7. Digital Education Market in United Arab Emirates (UAE): Historical Trends (Since 2018) and Forecasted Estimates (Till 2035)
    • 24.6.8. Digital Education Market in Other MENA Countries: Historical Trends (Since 2018) and Forecasted Estimates (Till 2035)
  • 24.7. Data Triangulation and Validation

25. MARKET OPPORTUNITIES FOR DIGITAL EDUCATION IN LATIN AMERICA

  • 25.1. Chapter Overview
  • 25.2. Key Assumptions and Methodology
  • 25.3. Revenue Shift Analysis
  • 25.4. Market Movement Analysis
  • 25.5. Penetration-Growth (P-G) Matrix
  • 25.6. Digital Education Market in Latin America: Historical Trends (Since 2018) and Forecasted Estimates (Till 2035)
    • 25.6.1. Digital Education Market in Argentina: Historical Trends (Since 2018) and Forecasted Estimates (Till 2035)
    • 25.6.2. Digital Education Market in Brazil: Historical Trends (Since 2018) and Forecasted Estimates (Till 2035)
    • 25.6.3. Digital Education Market in Chile: Historical Trends (Since 2018) and Forecasted Estimates (Till 2035)
    • 25.6.4. Digital Education Market in Colombia Historical Trends (Since 2018) and Forecasted Estimates (Till 2035)
    • 25.6.5. Digital Education Market in Venezuela: Historical Trends (Since 2018) and Forecasted Estimates (Till 2035)
    • 25.6.6. Digital Education Market in Other Latin American Countries: Historical Trends (Since 2018) and Forecasted Estimates (Till 2035)
  • 25.7. Data Triangulation and Validation

26. MARKET OPPORTUNITIES FOR DIGITAL EDUCATION IN REST OF THE WORLD

  • 26.1. Chapter Overview
  • 26.2. Key Assumptions and Methodology
  • 26.3. Revenue Shift Analysis
  • 26.4. Market Movement Analysis
  • 26.5. Penetration-Growth (P-G) Matrix
  • 26.6. Digital Education Market in Rest of the World: Historical Trends (Since 2018) and Forecasted Estimates (Till 2035)
    • 26.6.1. Digital Education Market in Australia: Historical Trends (Since 2018) and Forecasted Estimates (Till 2035)
    • 26.6.2. Digital Education Market in New Zealand: Historical Trends (Since 2018) and Forecasted Estimates (Till 2035)
    • 26.6.3. Digital Education Market in Other Countries
  • 26.7. Data Triangulation and Validation

27. TABULATED DATA

28. LIST OF COMPANIES AND ORGANIZATIONS

29. CUSTOMIZATION OPPORTUNITIES

30. ROOTS SUBSCRIPTION SERVICES

31. AUTHOR DETAILS