세계의 디지털 교육 시장(-2035년) : 딜리버리 모드, 디바이스 유형, 최종사용자, 기업 규모, 비즈니스 모델, 지역별 분포, 산업 동향, 세계 예측

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

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한글목차

세계 디지털 교육 시장 규모는 2035년까지 예측 기간 동안 22.38%의 연평균 복합 성장률(CAGR)로 현재 241억 달러에서 2035년에는 2,223억 2,200만 달러로 성장할 것으로 예측됩니다.

디지털 교육 시장 기회: 부문별

배송 모드별

• 블렌디드 러닝
• 온라인 학습
• 가상현실(VR) 학습

기기별

• 데스크톱 및 노트북
• 모바일 기기
• 웨어러블 디바이스

자격증별

• 인증 과정
• 학위 프로그램
• 디플로마 코스
• 비인증 과정

학습 유형별

• 강사 주도형
• 자기 주도형

코스별

• 비즈니스 관리
• STEM
• 기타

적용 모드별

• 증강현실(AR)
• 챗봇 및 AI 비서
• 이메일 기반 학습
• 학습 관리 시스템(LMS)
• 모바일 애플리케이션
• 화상회의 도구
• 가상현실(VR)
• 웹 기반 플랫폼
• 기타

최종 사용자별

• 교육기관
• 개인학습자
• 학교
• 대학
• 기업 및 공공기관
• 기업
• 정부기관
• 기타

기업 규모별

• 대기업
• 중소기업

비즈니스 모델별

• B2B
• B2C
• B2B2C

지역별

• 북미
• 미국
• 캐나다
• 멕시코
• 기타 북미 국가
• 유럽
• 오스트리아
• 벨기에
• 덴마크
• 프랑스
• 독일
• 아일랜드
• 이탈리아
• 네덜란드
• 노르웨이
• 러시아
• 스페인
• 스웨덴
• 스위스
• 영국
• 기타 유럽 국가
• 아시아
• 중국
• 인도
• 일본
• 싱가포르
• 한국
• 기타 아시아 국가
• 라틴아메리카
• 브라질
• 칠레
• 콜롬비아
• 베네수엘라
• 기타 라틴아메리카 국가
• 중동 및 북아프리카
• 이집트
• 이란
• 이라크
• 이스라엘
• 쿠웨이트
• 사우디아라비아
• 아랍에미리트(UAE)
• 기타 MENA 국가
• 세계 기타 지역
• 호주
• 뉴질랜드
• 기타 국가

디지털 교육 시장 : 성장과 동향

디지털 교육 분야는 빠르게 진화하고 있으며, 첨단 기술의 도입으로 전통적인 학습 스타일을 재구성하고 있습니다. 이 분야는 다양한 학습 환경에서 교육 제공 방법, 접근성, 개별화를 개선하는 데 중요한 역할을 하고 있습니다. 온라인 코스, 가상 교실, 학습 관리 시스템(LMS), 교육용 용도 등 다양한 솔루션을 포함하여 학습 성과 향상과 접근성, 학습 참여도 및 일관성을 보장하는 것을 목표로 하고 있습니다.

다재다능하고 접근하기 쉬운 교육에 대한 수요가 증가함에 따라 전통적인 강의실 환경에서 디지털 플랫폼으로 전환하여 학습의 효율성을 높이고 학생과 교육기관 모두에게 비용 절감 효과를 가져다주고 있습니다. 이러한 변화는 교육의 저변을 넓히고 산업 성장을 가속하고 있습니다. 또한, 기술 향상과 지속적인 학습에 대한 요구가 증가함에 따라 디지털 교육 솔루션의 도입이 증가하고 있습니다. 이러한 기술은 교육 수준을 유지하고 다양한 규제에 대응하는 데에도 기여하고 있습니다.

한편, 첨단 디지털 교육 플랫폼에 대한 초기 투자는 특히 소규모 교육기관에 있어서는 발전의 걸림돌로 작용할 수 있습니다. 또한, 사이버 위협은 온라인 학습 환경에 큰 도전이 될 수 있습니다. 그러나 이러한 장애물에도 불구하고, 시장은 확장의 기회와 혁신적인 솔루션의 등장으로 인해 괄목할 만한 성장세를 보이고 있습니다.

인공지능(AI)과 가상현실(VR)과 같은 첨단 도구는 개별화 학습, 분석, 학습 참여 측면에서 더 많은 가능성을 제공합니다. 이러한 기술들은 학습 효과를 높이고, 중도탈락률을 낮추며, 교육 성과를 향상시킬 것으로 기대되며, 디지털 교육 시장은 향후 예측 기간 동안 큰 성장을 보일 것으로 예측됩니다.

세계의 디지털 교육(Digital Education) 시장을 조사했으며, 시장 개요와 배경, 시장 영향요인 분석, 시장 규모 추이 및 예측, 각종 부문별/지역별 상세 분석, 경쟁 구도, 주요 기업 개요 등의 정보를 전해드립니다.

목차

제1장 서문

제2장 조사 방법

제3장 경제 및 기타 프로젝트 특유의 고려사항

제4장 거시경제 지표

제5장 주요 요약

제6장 서론

제7장 경쟁 구도

제8장 기업 개요

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

제9장 밸류체인 분석

제10장 SWOT 분석

제11장 세계의 디지털 교육 시장

제12장 딜리버리 모드별 시장 기회

제13장 디바이스 유형별 시장 기회

제14장 인정 자격별 시장 기회

제15장 학습 유형별 시장 기회

제16장 코스 유형별별 시장 기회

제17장 적용 모드별 시장 기회

제18장 최종사용자별 시장 기회

제19장 기업 규모별 시장 기회

제20장 비즈니스 모델별 시장 기회

제21장 북미의 디지털 교육 시장 기회

제22장 유럽의 디지털 교육 시장 기회

제23장 아시아의 디지털 교육 시장 기회

제24장 중동 및 북아프리카의 디지털 교육 시장 기회

제25장 라틴아메리카의 디지털 교육 시장 기회

제26장 세계 기타 지역의 디지털 교육 시장 기회

제27장 표 형식 데이터

제28장 기업 및 단체 리스트

제29장 커스터마이즈 기회

제30장 ROOTS 구독 서비스

제31장 저자 상세

LSH

영문 목차

영문목차

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.

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

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