封面
市場調查報告書
商品編碼
1721391

E學習市場 (~2035年):供應商類型·部署模型·技術·課程·學習類型·主要各地區的產業趨勢與全球預測

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:

出版日期: | 出版商: Roots Analysis | 英文 201 Pages | 商品交期: 2-10個工作天內

價格
簡介目錄

預計到 2035 年,全球電子學習市場規模將從目前的 3,493.4 億美元成長至 2,2856.7 億美元,預測期內複合年增長率為 18.621%。

E-Learning Market-IMG1

E學習的市場機會:各市場區隔

供應商類別

  • 內容提供商
  • 服務供應商

按部署模型

  • 雲端
  • 內部部署

各技術

  • 學習管理系統 (LMS)
  • 行動電子學習
  • 線上電子學習
  • 快速電子學習
  • 虛擬教室

按課程

    E rāningu ichiba (~ 2035-nen): Purobaidātaipu tenkai moderu gijutsu kōsu gakushū taipu shuyō chiiki-betsu no sangyō dōkō to sekai no yosoku < p > sekai no E rāningu no ichiba kibo wa, genzai no 3, 493 oku 4, 000 man kome doru kara, yosoku kikan-chū wa CAGR 18. 621-Pāsento de suii shi, 2035-nen ni wa 2 chō 2, 856 oku 7, 000 man kome doru ni seichō suru to yosoku sa rete imasu.

    < div arain =" sentā" class =" rūto _ img">< img src ="/sanpuru/img/ROOT 1721391 - f 1. Png" alt =" E - ran'ningu māketto - IMG 1" class =" descImg">
< p > E rāningu no ichiba-ki-kai: Segumento-betsu

< p > purobaidātaipu-betsu

< ul > < li > kontentsupurobaidā < li > sābisupurobaidā < p > tenkai moderu-betsu

< ul > < li > Kura udo < li > onpuremisu < p > gijutsu-betsu

< ul > < li > LMS < li > mobairu E rāningu < li > onrain E rāningu < li > rapiddo E rāningu < li > bācharu kyōshitsu < p > kōsu-betsu

< ul > < li > kōtō kyōiku < li > insutorakutā ni yoru bācharukōsu < li > onrain shikaku nintei < li > purofesshonaru kaihatsu < li > shotō chūtō kyōiku < li > jishū kōsu < li > shiken junbi kōsu < p > haishin mōdo-betsu

< ul > < li > burendeddo/haiburiddo E rāningu < li > raibu onrain E rāningu < li > jishū-gata E rāningu < p > gakushū taipu-betsu

< ul > < li > akademikku E rāningu < li > kigyō-muke E rāningu < li > kasutamu E rāningu < li > seifu kikan-muke E rāningu < li > resuponshibu E rāningu < p > kigyō kibo

< ul > < li > dai kigyō < li > chūshōkigō < p > bijinesu moderu-betsu

< ul > < li > B 2 B < li > B 2 C < li > B 2 B 2 C < p > endoyūzātaipu-betsu

< ul > < li > gakujutsu kikan < li > kigyō < li > seifu kikan < p > chiiki-betsu

< ul > < li > kita kome < li > kome-koku < li > Kanada < li > Mekishiko < li > sonohoka no kita kome shokoku < li > Ōshū < li > ōsutoria < li > berugī < li > denmāku < li > Furansu < li > Doitsu < li > Airurando < li > Itaria < li > Oranda < li > noruu~ē < li > Roshia < li > Supein < li > suu~ēden < li > Suisu < li > Igirisu < li > sonohoka no Ōshū shokoku < li > Ajia < li > Chūgoku < li > Indo < li > Nihon < li > shingapōru < li > Kankoku < li > sonohoka no Ajia shokoku < li > Raten'amerika < li > Burajiru < li > Chiri < li > Koronbia < li > Benezuera < li > sonohoka no Raten'amerika shokoku < li > Chūtō kitaafurika < li > Ejiputo < li > Iran < li > Iraku < li > Isuraeru < li > kuu~ēto < li > Saujiarabia < li > UAE < li > sonohoka no Chūtō kitaafurika shokoku < li > sekai no sonohoka no chiiki < li > ōsutoraria < li > nyūjīrando < li > sonohoka no kuni < h 4 > E rāningu ichiba: Seichō to dōkō < p > E rāningu ichiba wa, kyūsoku ni shinka shite ori, sentan gijutsu no riyō, kyōiku juyō no henka, intānettoakusesu no kaizen o tsūjite, jūrai no kyōiku o sai kōchiku shite imasu. Sarani, E rāningu wa jūgyōin no pafōmansu o takameru tame, ōku no soshiki ni totte fukaketsuna yōso ni naritsutsu arimasu.

< p > ippō de, taimen de no kōryū ga nai koto ya, gakushū-sha ni tsuyoi jiko dōkidzuke ga motome rareru koto ga, E rāningu gyōkai no seichō o samatageru yōin ni mo natte imasu. Kuwaete, saibāsekyuriti no mondai mo, shuyōna kadai to shite fujō shite imasu. Kōshita fukuzatsuna kadai ga aru nimokakawarazu, ichiba wa kakudai no kikai ya kakushintekina soryūshon no kaihatsu ni yotte, ichijirushii seichō o togete imasu. AI ya kasō genjitsu (VR) to itta saisentan tsūru, maikurorāningu, gēmifikēshon, adaputiburāningu, mobairurāningu to itta aratana torendo wa, pāsonaraizu sa reta kyōiku, gakushū bunseki, yūzāengējimento no kōjō ni aratana kanōsei o teikyō shimasu. Korera no gijutsu wa gakushū no kōka o takameru monodeari, E rāningu ichiba wa kongo no yosoku kikan ni oite ōkiku seichō suru koto ga kitai sa rete imasu.

< p > tō repōtode wa, sekai no E rāningu no ichiba o chōsa shi, ichiba gaiyō, haikei, ichiba eikyō inshi no bunseki, ichiba kibo no suii yosoku, kakushu kubun chiiki-betsu no shōsai bunseki, kyōgō jōsei, shuyō kigyō no Purofairu nado o matomete imasu.

< h 3 > < u > mokuji < h 4 > dai 1-shō jobun < h 4 > dai 2-shō chōsa shuhō < h 4 > dai 3-shō keizai-teki oyobi sonohoka no purojekuto tokuyū no kōryo jikō < h 4 > dai 4-shō makuro keizai shihyō < h 4 > dai 5-shō eguzekutibusamarī < h 4 > dai 6-shō intorodakushon < h 4 > dai 7-shō kyōgō jōsei < h 4 > dai 8-shō kigyō Purofairu < ul > < li >-shō no gaiyō < li > adobi < li > baido~u < li > CERTPOINT < li > shisukoshisutemuzu < li > D 2 L kōporēshon < li > edX < li > FUTURELEARN < li > GitHub < li > gūguru < li > aibīemu < li > infoa < li > kān akademī < li > makurosofuto < li > orakuru < li > piason Saba < li > SAP SE < li > Skillsoft < li > tomusonroitā < li > Udemy < li > Others < h 4 > dai 9-shō baryūchēn bunseki < h 4 > dai 10-shō SWOT bunseki < h 4 > dai 11-shō sekai no E rāningu ichiba < h 4 > dai 12-shō purobaidātaipu-betsu no ichiba-ki-kai < h 4 > dai 13-shō tenkai moderu-betsu no ichiba-ki-kai < h 4 > dai 14-shō gijutsu-betsu no ichiba-ki-kai < h 4 > dai 15-shō kōsu-betsu no ichiba-ki-kai < h 4 > dai 16-shō haishin mōdo-betsu no ichiba-ki-kai < h 4 > dai 17-shō gakushū taipu-betsu no ichiba-ki-kai < h 4 > dai 18-shō endoyūzā-betsu no ichiba-ki-kai < h 4 > dai 19-shō kigyō kibo-betsu no ichiba-ki-kai < h 4 > dai 20-shō bijinesu moderu-betsu no ichiba-ki-kai < h 4 > dai 21-shō kita kome ni okeru E rāningu no ichiba-ki-kai < h 4 > dai 22-shō Ōshū ni okeru E rāningu no ichiba-ki-kai < h 4 > dai 23-shō Ajia ni okeru E rāningu no ichiba-ki-kai < h 4 > dai 24-shō Chūtō kitaafurika ni okeru E rāningu no ichiba-ki-kai < h 4 > dai 25-shō Raten'amerika ni okeru E rāningu no ichiba-ki-kai < h 4 > dai 26-shō sekai no sonohoka no chiiki ni okeru E rāningu no ichiba-ki-kai < h 4 > dai 27-shō-hyō keishiki dēta < h 4 > dai 28-shō kigyō dantai ichiran < h 4 > dai 29-shō kasutamaizu no kikai < h 4 > dai 30-shō ROOTS sabusukuripushonsābisu 3,315/5,000 電子學習市場(至 2035 年):產業趨勢及全球預測(依供應商類型、部署模式、技術、課程、學習類型及重點地區)

預計到 2035 年,全球電子學習市場規模將從目前的 3,493.4 億美元成長至 2,2856.7 億美元,預測期內複合年增長率為 18.621%。

電子學習市場-IMG1

按細分市場劃分的電子學習市場機會

依提供者類型劃分

  • 內容提供者
  • 服務提供者

依部署模式劃分

  • 本地部署

依技術劃分

  • 學習管理系統 (LMS)
  • 行動電子學習
  • 線上電子學習
  • 快速電子學習
  • 虛擬教室

依課程劃分

  • 高階教育
  • 教師指導的虛擬課程
  • 線上認證
  • 專業發展
  • 國中小教育
  • 自學課程
  • 準備課程

授課模式別

  • 混合式/混合式電子學習
  • 線上直播電子學習
  • 自訂進度電子學習

學習類別

  • 學術型電子學習
  • 企業型電子學習
  • 客製化電子學習
  • 政府型電子學習
  • 響應式電子學習

企業規模

  • 大企業
  • 中小企業

不同商業模式

  • B2B
  • B2C
  • B2B2C

終端用戶類別

  • 學術機構
  • 企業
  • 政府機關

各地區

  • 北美
  • 美國
  • 加拿大
  • 墨西哥
  • 其他的北美各國
  • 歐洲
  • 奧地利
  • 比利時
  • 丹麥
  • 法國
  • 德國
  • 愛爾蘭
  • 義大利
  • 荷蘭
  • 挪威
  • 俄羅斯
  • 西班牙
  • 瑞典
  • 瑞士
  • 英國
  • 其他歐洲各國
  • 亞洲
  • 中國
  • 印度
  • 日本
  • 新加坡
  • 韓國
  • 其他亞洲各國
  • 南美
  • 巴西
  • 智利
  • 哥倫比亞
  • 委內瑞拉
  • 其他的南美各國
  • 中東·北非
  • 埃及
  • 伊朗
  • 伊拉克
  • 以色列
  • 科威特
  • 沙烏地阿拉伯
  • UAE
  • 其他的中東·北非各國
  • 全球其他地區
  • 澳洲
  • 紐西蘭
  • 其他的國家

電子學習市場:成長與趨勢

電子學習市場正在快速發展,並正在透過使用先進技術重塑傳統教育,改變教育需求的成長以及網路存取的改善。此外,電子學習正成為許多組織提升員工績效的重要一環。

然而,缺乏面對面互動以及對學習者強烈自我激勵的要求也是阻礙電子學習產業發展的因素。此外,網路安全問題也已成為一項重大課題。儘管面臨這些複雜的課題,但由於市場擴張機會和創新解決方案的開發,市場仍在經歷顯著成長。人工智慧和虛擬實境 (VR) 等尖端工具,以及微學習、遊戲化、自適應學習和行動學習等新趨勢,為個人化教育、學習分析和提升用戶參與度提供了新的可能性。這些技術提高了學習效率,預計電子學習市場在預測期內將大幅成長。

本報告提供全球E學習的市場調查、 市場概要,背景,市場影響因素的分析,市場規模的轉變·預測,各種區分·各地區的詳細分析,競爭情形,主要企業簡介等資訊。

目錄

第1章 序文

第2章 調查手法

第3章 經濟以及其他的計劃特有的考慮事項

第4章 宏觀經濟指標

第5章 摘要整理

第6章 簡介

第7章 競爭情形

第8章 企業簡介

  • 章概要
  • 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

第9章 價值鏈分析

第10章 SWOT分析

第11章 全球E學習市場

第12章 供應商類別的市場機會

第13章 按部署模型的市場機會

第14章 各技術的市場機會

第15章 按課程的市場機會

第16章 提供(播送)模式別的市場機會

第17章 學習類別的市場機會

第18章 各終端用戶的市場機會

第19章 不同企業規模的市場機會

第20章 不同商業模式的市場機會

第21章 北美E學習的市場機會

第22章 歐洲的E學習的市場機會

第23章 亞洲的E學習的市場機會

第24章 中東·北非的E學習的市場機會

第25章 南美的E學習的市場機會

第26章 全球其他地區的E學習的市場機會

第27章 表格形式資料

第28章 企業·團體一覽

第29章 客制化的機會

第30章 ROOTS訂閱服務

簡介目錄
Product Code: RAICT300119

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.

E-Learning Market - IMG1

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

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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