세계의 E-Learning 시장(-2035년) : 프로바이더 유형, 전개 모델, 기술, 코스, 학습 유형, 주요 지역별 산업 동향과 예측

E-Learning Market, Till 2035: Distribution by Type of Provider, by Type of Deployment Model, by Type of Technology, by Type of Courses, by Type of Learning and Key Geographical Regions : Industry Trends and Global Forecasts:

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한글목차

세계 E-Learning 시장 규모는 현재 3,493억 4,000만 달러에서 예측 기간 동안 CAGR 18.621%를 기록하며 2035년에는 2조 2,856억 7,000만 달러로 성장할 것으로 예측됩니다.

E-Learning 시장 기회: 부문별 시장 기회

공급자 유형별

• 컨텐츠 제공업체
• 서비스 제공업체

전개 모델별

• 클라우드
• On-Premise

기술별

• LMS
• 모바일 E-Learning
• 온라인 E-Learning
• 래피드 E-Learning
• 가상 교실

코스별

• 고등교육
• 강사가 진행하는 가상 강좌
• 온라인 자격 인증
• 전문성 개발
• 초중등 교육
• 자습 코스
• 시험 준비 과정

배송 모드별

• 블렌디드/하이브리드 E-Learning
• 라이브 온라인 E-Learning
• 자습형 E-Learning

학습 유형별

• 아카데믹 E-Learning
• 기업용 E-Learning
• 맞춤형 E-Learning
• 정부기관용 E-Learning
• 반응형 E-Learning

기업 규모

• 대기업
• 중소기업

비즈니스 모델별

• B2B
• B2C
• B2B2C

최종 사용자 유형별

• 학술기관
• 기업
• 정부기관

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 중동 및 북아프리카 국가
• 세계 기타 지역
• 호주
• 뉴질랜드
• 기타 국가

E-Learning 시장 : 성장과 동향

E-Learning 시장은 첨단 기술의 활용, 교육 수요의 변화, 인터넷 접근성 향상을 통해 전통적인 교육을 재구성하는 등 빠르게 진화하고 있습니다. 또한, E-Learning은 직원들의 성과를 향상시키기 위해 많은 조직에서 필수적인 요소로 자리 잡고 있습니다.

한편, 대면 교류의 부재와 학습자의 강한 자기 동기부여가 요구되는 점은 E-Learning 산업의 성장을 저해하는 요인으로 작용하고 있습니다. 또한, 사이버 보안 문제도 주요 과제로 떠오르고 있습니다. 이러한 복잡한 과제에도 불구하고, 시장은 AI, 가상현실(VR), 마이크로러닝, 게임화, 적응형 학습, 모바일 학습과 같은 최첨단 도구, 마이크로러닝, 게임화, 적응형 학습, 모바일 학습과 같은 혁신적인 솔루션의 개발로 인해 성장의 기회를 맞이하고 있습니다. 새로운 트렌드는 개인화된 교육, 학습 분석, 사용자 참여도를 향상시킬 수 있는 새로운 가능성을 제공합니다. 이러한 기술들은 학습의 효과를 높여주며, 향후 예측 기간 동안 E-Learning 시장은 크게 성장할 것으로 예측됩니다.

세계의 E-Learning(E-Learning) 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 정리하여 전해드립니다.

목차

제1장 서문

제2장 조사 방법

제3장 경제적 및 기타 프로젝트 특유의 고려사항

제4장 거시경제 지표

제5장 주요 요약

제6장 서론

제7장 경쟁 구도

제8장 기업 개요

• 본 장의 개요
• Adobe
• Baidu
• CERTPOINT
• Cisco Systems
• D2L Corporation
• edX
• FUTURELEARN
• GitHub
• Google
• IBM
• Infor
• Khan Academy
• Microsoft
• Oracle
• Pearson Saba
• SAP SE
• Skillsoft
• Thomson Reuters
• Udemy
• Others

제9장 밸류체인 분석

제10장 SWOT 분석

제11장 세계의 E-Learning 시장

제12장 프로바이더 유형별 시장 기회

제13장 전개 모델별 시장 기회

제14장 기술별 시장 기회

제15장 코스별 시장 기회

제16장 유통 모드별 시장 기회

제17장 학습 유형별 시장 기회

제18장 최종사용자별 시장 기회

제19장 기업 규모별 시장 기회

제20장 비즈니스 모델별 시장 기회

제21장 북미의 E-Learning 시장 기회

제22장 유럽의 E-Learning 시장 기회

제23장 아시아의 E-Learning 시장 기회

제24장 중동 및 북아프리카의 E-Learning 시장 기회

제25장 라틴아메리카의 E-Learning 시장 기회

제26장 세계 기타 지역의 E-Learning 시장 기회

제27장 표 형식 데이터

제28장 기업 및 단체 리스트

제29장 커스터마이즈 기회

제30장 ROOTS 구독 서비스

LSH

영문 목차

영문목차

E-Learning Market Overview

As per Roots Analysis, the global e-learning market size is estimated to grow from USD 349.34 billion in the current year to USD 2,285.67 billion by 2035, at a CAGR of 18.621% during the forecast period, till 2035.

The opportunity for e-learning market has been distributed across the following segments:

Type of Provider

• Content Provider
• Service Provider

Type of Deployment Model

• Cloud
• On-Premises

Type of Technology

• LMS
• Mobile E-Learning
• Online E-Learning
• Rapid E-Learning
• Virtual Classroom

Type of Courses

• Higher Education
• Instructor-led Virtual Courses
• Online Certification
• Professional Development
• Primary & Secondary Education
• Self-Paced Courses
• Test Preparation

Type of Delivery Mode

• Blended/Hybrid E-Learning
• Live Online E-Learning
• Self-Paced E-Learning

Type of Learning

• Academic E-Learning
• Corporate E-Learning
• Custom E-Learning
• Government E-Learning
• Responsive E-Learning

Company Size

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

Business Model

• B2B
• B2C
• B2B2C

Type of End User

• Academic
• Corporate
• Government

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

E-LEARNING MARKET: GROWTH AND TRENDS

The e-learning market, also referred to as the online learning sector or digital education field, involves the delivery of educational content and services via digital technology and the internet. This field is rapidly evolving, reshaping traditional education through the use of advanced technologies, shifting educational demands, and improved internet access. Moreover, e-learning is becoming a vital component for many organizations as it boosts employee performance.

Conversely, the absence of in-person interactions and the necessity for greater self-motivation can hinder the growth of the e-learning industry. Additionally, cybersecurity issues are rising as major obstacles for e-learning platforms. Despite these intricate challenges, the market is experiencing impressive growth due to opportunities for expansion and the development of innovative solutions. Cutting-edge tools, including Artificial Intelligence (AI) and Virtual Reality (VR), along with emerging trends like microlearning, gamification, adaptive learning, and mobile learning provide further chances for tailored education, analytics, and user engagement. These technologies improve learning effectiveness, suggesting that the e-learning market is anticipated to grow significantly, during the forecast period.

E-LEARNING MARKET: KEY SEGMENTS

Market Share by Type of Provider

Based on the type of provider, the global e-learning market is segmented into content provider and service providers. According to our estimates, currently, content providers capture the majority share of the market, owing to the increasing need for high-quality educational resources. Content providers are tasked with delivering educational materials such as written content, video lectures, interactive exercises, and multimedia tools.

These providers typically offer platforms for courses and extensive libraries that encompass a wide array of subjects. The partnership between content providers and educational institutions, as well as corporations, significantly contributes to the rapid growth of this segment, as they offer comprehensive e-learning solutions.

Market Share by Type of Deployment Model

Based on the type of deployment model, the e-learning market is segmented into cloud and on-premises. According to our estimates, currently, cloud segment captures the majority share of the market. This is attributed to its affordability and the effective training methods for students that are increasingly gaining popularity in educational institutions.

Cloud technology accommodates various learning applications and platforms, which enhances its flexibility for learning on the go. Additionally, this deployment model allows educational organizations to create a virtual environment for both learners and instructors, positioning it as the leading segment in the industry.

Market Share by Type of Technology

Based on the type of technology, the e-learning market is segmented into LMS, mobile e-learning, online e-learning, rapid e-learning, and virtual classroom. According to our estimates, currently, the e-learning segment captures the majority share of the market. This can be attributed to the extensive variety of educational and training resources accessible online.

The easy availability of these resources through numerous apps and platforms contributes to this growth. Further, its popularity is also reflected in its convenience and cost-effectiveness, allowing learners to access materials from virtually anywhere with just an internet connection.

Market Share by Type of Courses

Based on the type of courses, the e-learning market is segmented into higher education, instructor-led virtual courses, online certification, professional development, primary & secondary education, self-paced courses and test preparation. According to our estimates, currently, primary and secondary education segment captures the majority share of the market. This can be attributed to the growing adoption of digital teaching methods in elementary schools, especially following the impact of COVID-19.

Further, utilizing devices like smartphones has been shown to enhance educational quality and streamline e-learning in distance education. Additionally, employing digital resources in school education provides greater flexibility in course delivery, making education more attainable for everyone.

Market Share by Type of Delivery Mode

Based on the type of delivery mode, the e-learning market is segmented into blended/hybrid e-learning, live online e-learning, and self-paced e-learning. According to our estimates, currently, self-paced e-learning segment captures the majority share of the market. This can be attributed to its adaptability, enabling students to access educational materials and finish their courses at their own pace.

Moreover, online learning is generally more economical when compared to blended or live online formats, largely because of its reliance on pre-recorded content. Self-paced e-learning has also proven effective for large training initiatives due to its ability to scale, allowing numerous learners to participate in courses at the same time.

Market Share by Type of Learning

Based on type of learning, the e-learning market is segmented into academic e-learning, corporate e-learning, custom e-learning, government e-learning and responsive e-learning. According to our estimates, currently, academic e-learning segment captures the majority share of the market, owing to its considerable influence on education through advanced technology and innovative methods. This sector has revolutionized the educational landscape by digitizing learning resources, thereby making education more accessible, flexible, and engaging for students.

However, it is important to note that although academic e-learning is the predominant segment, corporate e-learning is also rapidly expanding due to the increasing demand for employee training and development.

Market Share by Type of End User

Based on type of end user, the e-learning market is segmented into academic, corporate, government and others. According to our estimates, currently, academic segment captures the majority share of the market. This can be attributed to the widespread use of digital learning resources in educational settings aimed at improving teaching and learning experiences. Additionally, the rising demand for flexible and accessible educational options significantly drives growth, as educational institutions adopt digital platforms to cater to a variety of learning requirements.

Market Share by Company Size

Based on company size, the e-learning market is segmented into large companies and small and mid-size companies. According to our estimates, currently, large companies capture the majority share of the market. Large companies possess the necessary resources and capabilities to make significant investments in research and development, manufacturing infrastructure, and marketing, allowing them to produce e-learning solutions at a lower cost per unit than smaller competitors. In addition, medium and small businesses are provided with cost-effective alternatives that offer good quality e-learning options.

Market Share by Business Model

Based on business model the e-learning market is segmented into B2B, B2C and B2B2C. According to our estimates, currently, B2B captures the majority share of the market. This can be attributed to the growing adoption of e-learning technologies by various industries eager to effectively and affordably enhance the skills of their workforce. However, B2C model is anticipated to grow at a higher CAGR during the forecast period.

Market Share by Geographical Regions

Based on the geographical regions, the e-learning market is segmented into North America, Europe, Asia, Latin America, Middle East and North Africa, and Rest of the World. According to our estimates, currently, North America captures the majority share of the market. This can be attributed to its advanced technological infrastructure, high levels of internet access, and broad acceptance of online education platforms. Further, strong focus on education and ongoing professional development stimulates the need for digital learning solutions.

Example Players in E-Learning Market

• Adobe
• Baidu
• CERTPOINT
• Cisco Systems
• D2L Corporation
• edX
• FUTURELEARN
• GitHub
• Google
• IBM
• Infor
• Khan Academy
• Microsoft
• Oracle
• Pearson Saba
• SAP SE
• Skillsoft
• Thomson Reuters
• Udemy

E-LEARNING MARKET: RESEARCH COVERAGE

The report on the e-learning market features insights on various sections, including:

• Market Sizing and Opportunity Analysis: An in-depth analysis of the e-learning market, focusing on key market segments, including [A] type of provider, [B] type of deployment model, [C] type of technology, [D] type of course, [E] type of delivery mode, [F] type of learning, [G] end user and [H] company size, [I] business model, and [J] geographical regions.
• Competitive Landscape: A comprehensive analysis of the companies engaged in the E-learning market, based on several relevant parameters, such as [A] year of establishment, [B] company size, [C] location of headquarters, [D] ownership structure.
• Company Profiles: Elaborate profiles of prominent players engaged in the E-learning 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] e-learning 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 e-learning 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
• 10% Free Content Customization
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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 E-Learning
  • 6.2.1. Key Characteristics of E-Learning
  • 6.2.2. Type of Provider
  • 6.2.3. Type of Deployment Model
  • 6.2.4. Type of Technology
  • 6.2.5. Type of Courses
  • 6.2.6. Type of Delivery Mode
  • 6.2.7. Type of Learning
  • 6.2.8. Type of Area of Application
  • 6.2.9. Type of End User
• 6.3. Future Perspective

7. COMPETITIVE LANDSCAPE

• 7.1. Chapter Overview
• 7.2. E-Learning: 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. Adobe
  • 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. Baidu
• 8.4. CERTPOINT
• 8.5. Cisco Systems
• 8.6. D2L Corporation
• 8.7. edX
• 8.8. FUTURELEARN
• 8.9. GitHub
• 8.10. Google
• 8.11. IBM
• 8.12. Infor
• 8.13. Khan Academy
• 8.14. Microsoft
• 8.15. Oracle
• 8.16. Pearson Saba
• 8.17. SAP SE
• 8.18. Skillsoft
• 8.19. Thomson Reuters
• 8.20. Udemy
• 8.21. Others

9. VALUE CHAIN ANALYSIS

10. SWOT ANALYSIS

11. GLOBAL E-LEARNING MARKET

• 11.1. Chapter Overview
• 11.2. Key Assumptions and Methodology
• 11.3. Trends Disruption Impacting Market
• 11.4. Global E-Learning Market, Historical Trends (Since 2019) 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 PROVIDER

• 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. E-Learning Market for Content Provider: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 12.7. E-Learning Market for Service Provider: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 12.8. Data Triangulation and Validation

13. MARKET OPPORTUNITIES BASED ON TYPE OF DEPLOYMENT MODEL

• 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. E-Learning Market for Cloud: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 13.7. E-Learning Market for On-Premises: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 13.8. Data Triangulation and Validation

14. MARKET OPPORTUNITIES BASED ON TYPE OF TECHNOLOGY

• 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. E-Learning Market for LMS: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 14.7. E-Learning Market for Mobile E-Learning: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 14.8. E-Learning Market for Online E-Learning: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 14.9. E-Learning Market for Rapid E-Learning: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 14.10. E-Learning Market for Virtual E-Learning: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 14.11. Data Triangulation and Validation

15. MARKET OPPORTUNITIES BASED ON TYPE OF COURSES

• 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. E-Learning Market for Higher Education: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 15.7. E-Learning Market for Instructor-led Virtual Courses: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 15.8. E-Learning Market for Online Certification: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 15.9. E-Learning Market for Professional Development: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 15.10. E-Learning Market for Primary & Secondary Education: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 15.11. E-Learning Market for Self-Paced Courses: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 15.12. E-Learning Market for Test Preparation: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 15.13. Data Triangulation and Validation

16. MARKET OPPORTUNITIES BASED ON TYPE OF DELIVERY MODE

• 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. E-Learning Market for Blended/Hybrid E-Learning: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 16.7. E-Learning Market for Live Online E-Learning: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 16.8. E-Learning Market for Self-Paced E-Learning: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 16.9. Data Triangulation and Validation

17. MARKET OPPORTUNITIES BASED ON TYPE OF LEARNING

• 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. E-Learning Market for Academic E-Learning: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 17.7. E-Learning Market for Corporate E-Learning: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 17.8. E-Learning Market for Custom E-Learning: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 17.9. E-Learning Market for Government E-Learning: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 17.10. E-Learning Market for Responsive E-Learning: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 17.11. Data Triangulation and Validation

18. MARKET OPPORTUNITIES BASED ON TYPE OF 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. E-Learning Market for Academic: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 18.7. E-Learning Market for Corporate: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 18.8. E-Learning Market for Government: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 18.9. E-Learning Market for Others: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 18.10. 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. E-Learning Market for Large Enterprises: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 19.7. E-Learning Market for Small and Medium-sized Enterprises (SMEs): Historical Trends (Since 2019) 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. E-Learning Market for B2B: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 20.7. E-Learning Market for B2C: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 20.8. E-Learning Market for B2B2C: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 20.9. Data Triangulation and Validation

21. MARKET OPPORTUNITIES FOR E-LEARNING 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. E-Learning Market in North America: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 21.6.1. E-Learning Market in the US: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 21.6.2. E-Learning Market in Canada: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 21.6.3. E-Learning Market in Mexico: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 21.6.4. E-Learning Market in Other North American Countries: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 21.7. Data Triangulation and Validation

22. MARKET OPPORTUNITIES FOR E-LEARNING 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. E-Learning Market in Europe: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 22.6.1. E-Learning Market in the Austria: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 22.6.2. E-Learning Market in Belgium: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 22.6.3. E-Learning Market in Denmark: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 22.6.4. E-Learning Market in France: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 22.6.5. E-Learning Market in Germany: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 22.6.6. E-Learning Market in Ireland: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 22.6.7. E-Learning Market in Italy: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 22.6.8. E-Learning Market in Netherlands: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 22.6.9. E-Learning Market in Norway: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 22.6.10. E-Learning Market in Russia: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 22.6.11. E-Learning Market in Spain: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 22.6.12. E-Learning Market in Sweden: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 22.6.13. E-Learning Market in Switzerland: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 22.6.14. E-Learning Market in the UK: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 22.6.15. E-Learning Market in Other European Countries: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 22.7. Data Triangulation and Validation

23. MARKET OPPORTUNITIES FOR E-LEARNING 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. E-Learning Market in Asia: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 23.6.1. E-Learning Market in China: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 23.6.2. E-Learning Market in India: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 23.6.3. E-Learning Market in Japan: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 23.6.4. E-Learning Market in Singapore: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 23.6.5. E-Learning Market in South Korea: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 23.6.6. E-Learning Market in Other Asian Countries: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 23.7. Data Triangulation and Validation

24. MARKET OPPORTUNITIES FOR E-LEARNING 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. E-Learning Market in Middle East and North Africa (MENA): Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 24.6.1. E-Learning Market in Egypt: Historical Trends (Since 2019) and Forecasted Estimates (Till 205)
  • 24.6.2. E-Learning Market in Iran: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 24.6.3. E-Learning Market in Iraq: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 24.6.4. E-Learning Market in Israel: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 24.6.5. E-Learning Market in Kuwait: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 24.6.6. E-Learning Market in Saudi Arabia: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 24.6.7. E-Learning Market in United Arab Emirates (UAE): Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 24.6.8. E-Learning Market in Other MENA Countries: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 24.7. Data Triangulation and Validation

25. MARKET OPPORTUNITIES FOR E-LEARNING 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. E-Learning Market in Latin America: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 25.6.1. E-Learning Market in Argentina: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 25.6.2. E-Learning Market in Brazil: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 25.6.3. E-Learning Market in Chile: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 25.6.4. E-Learning Market in Colombia Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 25.6.5. E-Learning Market in Venezuela: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 25.6.6. E-Learning Market in Other Latin American Countries: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 25.7. Data Triangulation and Validation

26. MARKET OPPORTUNITIES FOR E-LEARNING 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. E-Learning Market in Rest of the World: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 26.6.1. E-Learning Market in Australia: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 26.6.2. E-Learning Market in New Zealand: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 26.6.3. E-Learning 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

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