세계의 디지털 교육 시장 : 학습 모델별, 코스 유형별 - 예측(-2030년)

The digital education market is projected to grow from USD 32.36 billion in 2025 to USD 95.70 billion by 2030 at a CAGR of 24.2% during the forecast period. Organizations are adopting digital education systems to efficiently deliver and manage learning content flexibly and at scale, supporting students, employees, and professionals across various locations. These platforms integrate multiple tools such as interactive content, virtual classrooms, learning management systems, and real-time analytics to enhance engagement and track progress. Institutions rely on cloud-based digital platforms to allow quick updates, personalized learning paths, and seamless integration with existing systems. As the demand for continuous learning and upskilling grows, digital education enables accessible, adaptive, and cost-effective learning experiences for diverse audiences.

Based on end users, the academic institutions segment is expected to lead the market during the forecast period.

The widespread adoption of digital platforms by schools, colleges, and universities is driving this growth as these institutions increasingly integrate online learning tools to enhance teaching and learning experiences. The shift toward blended and hybrid learning models, accelerated by the pandemic, has led to a sustained demand for digital content, virtual classrooms, and learning management systems. Moreover, academic institutions are investing in advanced technologies such as AI-driven personalized learning, virtual labs, and immersive simulations to offer flexible, engaging, and accessible education. Government initiatives promoting digital literacy and growing collaborations between educational institutions and technology providers further support this expansion. As academic institutions modernize their infrastructure and curricula, their reliance on digital education solutions is expected to remain strong, securing their dominant market position.

The professional certification and skill development segment is expected to register the highest CAGR during the forecast period based on course type.

As industries rapidly evolve with advancements in AI, data analytics, cybersecurity, and emerging technologies, there is a growing demand for continuous upskilling and reskilling among professionals. Digital platforms offer flexible, accessible, and industry-relevant certification programs that cater to working individuals seeking career advancement or transitions. Moreover, organizations increasingly invest in employee development programs to bridge skill gaps and maintain competitiveness in a dynamic job market. The rise of micro-credentials, modular learning, and partnerships between digital education providers and industry leaders further enhances the credibility and applicability of these courses. Additionally, the global recognition of online certifications and the growing acceptance of alternative credentials by employers are driving the strong growth of this segment in the digital education landscape.

Based on the learning model, the mobile learning segment is expected to hold the largest market share during the forecast period.

This growth is primarily driven by the widespread penetration of smartphones, tablets, and mobile internet connectivity, allowing learners to access educational content anytime and anywhere. Mobile learning supports microlearning, enabling users to engage with short, focused content that fits into busy schedules, making it highly suitable for working professionals and students. The increasing adoption of interactive apps, gamified learning, and AI-powered personalized content further enhances learner engagement and retention. Moreover, mobile learning facilitates real-time assessments, instant feedback, and collaborative learning through social features, fostering an interactive educational experience. The flexibility, convenience, and scalability offered by mobile learning make it increasingly popular across corporate training, K-12, and higher education sectors, contributing significantly to its robust growth in the evolving digital education landscape.

Breakdown of Primaries

Chief Executive Officers (CEOs), directors of innovation and technology, system integrators, and executives from several significant digital education companies were interviewed.

• By Company: Tier I: 40%, Tier II: 25%, and Tier III: 35%
• By Designation: C-Level Executives: 25%, Director Level: 37%, and Others: 38%
• By Region: North America: 38%, Europe: 24%, Asia Pacific: 22%, Rest of World: 16%

Some of the significant digital education market vendors are Udemy (US), Coursera (US), LinkedIn Learning (US), Pluralsight (US), edX (US), Udacity (US), Intellipaat (India), Swayam (India), Veranda Learning (India), and Alison (Ireland).

Research Coverage:

The market report covered the digital education market across segments. The market size and growth potential for many segments were estimated based on the learning model, delivery mode, course type, end user, and region. It contains a thorough competition analysis of the major market participants, information about their businesses, essential observations about their product and service offerings, current trends, and critical market strategies.

Reasons to Buy this Report:

With information on the most accurate revenue estimates for the whole digital education industry and its subsegments, the research will benefit market leaders and recent newcomers. Stakeholders will benefit from this report's increased understanding of the competitive environment, which will help them better position their companies and develop go-to-market strategies. The research offers information on the main market drivers, constraints, opportunities, and challenges, as well as aids players in understanding the pulse of the industry.

The report provides insights on the following pointers:

Analysis of key drivers (Growing demand for personalized learning driven by adaptive technologies, Gamification enhancing student engagement in learning, Increasing need for upskilling and reskilling, Enhancing digital education with IOT devices in learning), restraints (Infrastructure shortage in rural areas, Prolonged screen time strains), opportunities (Transforming microlearning and modular learning with digital education, Offering localized language content boosting student engagement and course completion rates, Blockchain integration in education system facilitating instant credential verification for employees and institutions, Strategic alliances between edtech and corporate entities empowering students with industry-aligned learning experiences), and challenges (Insufficient interaction in virtual classrooms hindering student engagement, Insufficient teacher training hampers effective integration of digital tools) influencing the growth of the digital education market.

• Product Development/Innovation: Comprehensive analysis of emerging technologies, R&D initiatives, and new service and product introductions in the digital education market.
• Market Development: In-depth details regarding profitable markets: the paper examines the digital education market.
• Market Diversification: Comprehensive details regarding recent advancements, investments, unexplored regions, new goods and services, and the digital education market.
• Competitive Assessment: Thorough analysis of the market shares, expansion plans, and service portfolios of the top competitors in the digital education industry, such as Udemy (US), Coursera (US), LinkedIn Learning (US), Pluralsight (US), edX (US), Udacity (US), Intellipaat (India), Swayam (India), Veranda Learning (India), Alison (Ireland), Iversity (Germany), NovoEd (US), XeutangX (China), Khan Academy (US), Kadenze (US), Fedrica Web Learning (Italy), My Mooc (France), Treehouse (US), Skillshare (US), CXL (US), Go1 (Australia), DataCamp (US), Platzi (US), Chegg (US), and Dulingo (US).

TABLE OF CONTENTS

1 INTRODUCTION

• 1.1 STUDY OBJECTIVES
• 1.2 MARKET DEFINITION
  • 1.2.1 INCLUSIONS AND EXCLUSIONS
• 1.3 MARKET SCOPE
  • 1.3.1 MARKET SEGMENTATION
  • 1.3.2 YEARS CONSIDERED
• 1.4 CURRENCY CONSIDERED
• 1.5 STAKEHOLDERS
• 1.6 SUMMARY OF CHANGES

2 RESEARCH METHODOLOGY

• 2.1 RESEARCH APPROACH
  • 2.1.1 SECONDARY DATA
  • 2.1.2 PRIMARY DATA
    • 2.1.2.1 Breakup of primary profiles
    • 2.1.2.2 Primary respondents
    • 2.1.2.3 Key industry insights
• 2.2 MARKET BREAKUP AND DATA TRIANGULATION
• 2.3 MARKET SIZE ESTIMATION
  • 2.3.1 TOP-DOWN APPROACH
  • 2.3.2 BOTTOM-UP APPROACH
  • 2.3.3 MARKET ESTIMATION APPROACHES
• 2.4 MARKET FORECAST
• 2.5 RESEARCH ASSUMPTIONS
• 2.6 RESEARCH LIMITATIONS

3 EXECUTIVE SUMMARY

4 PREMIUM INSIGHTS

• 4.1 ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN DIGITAL EDUCATION MARKET
• 4.2 DIGITAL EDUCATION MARKET, BY LEARNING MODEL (2025 VS 2030)
• 4.3 DIGITAL EDUCATION MARKET, BY DELIVERY MODE (2025 VS 2030)
• 4.4 DIGITAL EDUCATION MARKET, BY COURSE TYPE (2025 VS 2030)
• 4.5 DIGITAL EDUCATION MARKET, BY END USER (2025 VS 2030)
• 4.6 DIGITAL EDUCATION MARKET: REGIONAL SCENARIO

5 MARKET OVERVIEW AND INDUSTRY TRENDS

• 5.1 INTRODUCTION
• 5.2 MARKET DYNAMICS
  • 5.2.1 DRIVERS
    • 5.2.1.1 Growing demand for adaptive technology-driven personalized learning
    • 5.2.1.2 Gamification enhancing student engagement in learning
    • 5.2.1.3 Rising need for upskilling and reskilling
    • 5.2.1.4 Increasing IoT integration in digital education for real-time engagement
  • 5.2.2 RESTRAINTS
    • 5.2.2.1 Infrastructure shortage in rural areas
    • 5.2.2.2 Prolonged screen time
  • 5.2.3 OPPORTUNITIES
    • 5.2.3.1 Transforming microlearning and modular learning with digital education
    • 5.2.3.2 Localized content creation to boost course completion rates
    • 5.2.3.3 Blockchain integration in education systems
    • 5.2.3.4 Corporate-academic EdTech partnerships
  • 5.2.4 CHALLENGES
    • 5.2.4.1 Insufficient interaction in virtual classrooms hindering student engagement
    • 5.2.4.2 Inadequate teacher training hampering effective integration of digital tools
• 5.3 CASE STUDY ANALYSIS
  • 5.3.1 COURSERA BUILDING FUTURE-READY WORKFORCE FOR ABU DHABI GOVERNMENT
  • 5.3.2 ITX ENHANCED EMPLOYEE DEVELOPMENT AND LOYALTY WITH UDEMY BUSINESS
  • 5.3.3 STRATEGIC SHIFT OF HALLYM UNIVERSITY TO ENHANCE STUDENT LEARNING WITH EDX
  • 5.3.4 ENHANCING EMPLOYEE DIGITAL SKILLS WITH UDACITY
  • 5.3.5 ADOPTION OF LINKEDIN LEARNING BY FINASTRA FOR EMPLOYEE SKILL DEVELOPMENT
• 5.4 ECOSYSTEM ANALYSIS
• 5.5 SUPPLY CHAIN ANALYSIS
• 5.6 PRICING ANALYSIS
  • 5.6.1 AVERAGE SELLING PRICE (ASP) OF KEY PLAYERS, BY REGION
  • 5.6.2 INDICATIVE PRICING OF KEY PLAYERS, BY END USER
• 5.7 PATENT ANALYSIS
• 5.8 TECHNOLOGY ANALYSIS
  • 5.8.1 KEY TECHNOLOGIES
    • 5.8.1.1 Learning management systems (LMS)
    • 5.8.1.2 Cloud-based platforms
  • 5.8.2 COMPLEMENTARY TECHNOLOGIES
    • 5.8.2.1 Blockchain
    • 5.8.2.2 Natural learning processing (NLP)
  • 5.8.3 ADJACENT TECHNOLOGIES
    • 5.8.3.1 AR & VR
    • 5.8.3.2 Gamification & simulation
• 5.9 REGULATORY LANDSCAPE
  • 5.9.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • 5.9.2 REGULATIONS, BY REGION
• 5.10 PORTER'S FIVE FORCES ANALYSIS
  • 5.10.1 THREAT OF NEW ENTRANTS
  • 5.10.2 THREAT OF SUBSTITUTES
  • 5.10.3 BARGAINING POWER OF BUYERS
  • 5.10.4 BARGAINING POWER OF SUPPLIERS
  • 5.10.5 INTENSITY OF COMPETITIVE RIVALRY
• 5.11 KEY STAKEHOLDERS AND BUYING CRITERIA
  • 5.11.1 KEY STAKEHOLDERS IN BUYING PROCESS
  • 5.11.2 BUYING CRITERIA
• 5.12 KEY CONFERENCES AND EVENTS, 2025
• 5.13 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS
• 5.14 BUSINESS MODEL ANALYSIS
  • 5.14.1 SUBSCRIPTION-BASED MODEL
  • 5.14.2 LICENSE-BASED MODEL
  • 5.14.3 FREEMIUM MODEL
• 5.15 INVESTMENT AND FUNDING SCENARIO
• 5.16 IMPACT OF AI/GEN AI ON DIGITAL EDUCATION MARKET
  • 5.16.1 TOP CLIENTS ADAPTING GEN AI
    • 5.16.1.1 360Learning
    • 5.16.1.2 WorkRamp
  • 5.16.2 CASE STUDY
    • 5.16.2.1 Use of generative AI by Moderna to drive pharmaceutical advancements
• 5.17 IMPACT OF 2025 US TARIFF - DIGITAL EDUCATION MARKET
  • 5.17.1 INTRODUCTION
  • 5.17.2 KEY TARIFF RATES
  • 5.17.3 PRICE IMPACT ANALYSIS
  • 5.17.4 IMPACT ON REGION
    • 5.17.4.1 North America
      • 5.17.4.1.1 US
      • 5.17.4.1.2 Canada
      • 5.17.4.1.3 Mexico
      • 5.17.4.1.4 Market Challenges
      • 5.17.4.1.5 Mitigation Measures
    • 5.17.4.2 Europe
      • 5.17.4.2.1 Germany
      • 5.17.4.2.2 France
      • 5.17.4.2.3 UK
      • 5.17.4.2.4 Market challenges
      • 5.17.4.2.5 Mitigation Measure
    • 5.17.4.3 Asia Pacific
      • 5.17.4.3.1 China
      • 5.17.4.3.2 India
      • 5.17.4.3.3 Australia
      • 5.17.4.3.4 Market Challenges
      • 5.17.4.3.5 Mitigation Measures

6 DIGITAL EDUCATION MARKET, BY LEARNING MODEL

• 6.1 INTRODUCTION
  • 6.1.1 LEARNING MODEL: DIGITAL EDUCATION MARKET DRIVERS
• 6.2 SELF-PACED LEARNING
  • 6.2.1 ADVANCING FLEXIBILITY THROUGH SELF-PACED LEARNING
  • 6.2.2 VIDEO-BASED COURSES
  • 6.2.3 TEXT-BASED MODULES
  • 6.2.4 INTERACTIVE LEARNING
• 6.3 INSTRUCTOR-LED
  • 6.3.1 STRENGTHENING LEARNERS' SUPPORT THROUGH INSTRUCTOR-LED LEARNING
  • 6.3.2 SCHEDULED WEBINARS
  • 6.3.3 MENTORSHIP & TUTORING SESSIONS
• 6.4 BLENDED LEARNING
  • 6.4.1 ADAPTING LEARNING TO DIVERSE NEEDS WITH BLENDED APPROACHES
  • 6.4.2 FLIPPED CLASSROOMS
  • 6.4.3 PROJECT-BASED LEARNING MODELS
• 6.5 MICROLEARNING
  • 6.5.1 BOOSTING RETENTION WITH MICROLEARNING MODULES
  • 6.5.2 INFOGRAPHICS & SHORT CAPSULES
  • 6.5.3 SHORT VIDEOS
• 6.6 ADAPTIVE LEARNING
  • 6.6.1 PERSONALIZING LEARNING THROUGH REAL-TIME ADAPTATION
  • 6.6.2 AI-PERSONALIZED PATHWAYS
  • 6.6.3 SKILL-GAP ASSESSMENT TOOLS
• 6.7 MOBILE LEARNING
  • 6.7.1 BOOSTING LEARNING CONTINUITY THROUGH MOBILE DEVICES
  • 6.7.2 APP-BASED LEARNING PLATFORMS
  • 6.7.3 SKILL-GAP ASSESSMENT TOOLS

7 DIGITAL EDUCATION MARKET, BY DELIVERY MODE

• 7.1 INTRODUCTION
  • 7.1.1 DELIVERY MODE: DIGITAL EDUCATION MARKET DRIVERS
• 7.2 SYNCHRONOUS LEARNING
  • 7.2.1 FOSTERING REAL-TIME INTERACTION WITH SYNCHRONOUS LEARNING
• 7.3 ASYNCHRONOUS LEARNING
  • 7.3.1 LEARNING BEYOND TIME CONSTRAINTS WITH ASYNCHRONOUS LEARNING
• 7.4 HYBRID LEARNING
  • 7.4.1 EMPOWERING LEARNERS WITH FLEXIBILITY AND REAL-TIME INTERACTION

8 DIGITAL EDUCATION MARKET, BY COURSE TYPE

• 8.1 INTRODUCTION
  • 8.1.1 COURSE TYPE: DIGITAL EDUCATION MARKET DRIVERS
• 8.2 ACADEMIC EDUCATION
  • 8.2.1 TRANSFORMING TRADITIONAL EDUCATION THROUGH TECHNOLOGY
  • 8.2.2 K-12
  • 8.2.3 HIGHER EDUCATION
• 8.3 TEST PREPARATION
  • 8.3.1 EMPOWERING ASPIRANTS WITH ONLINE TEST PREPARATION
• 8.4 PROFESSIONAL CERTIFICATION & SKILL DEVELOPMENT
  • 8.4.1 UPSKILLING THROUGH DIGITAL EDUCATION
• 8.5 VOCATIONAL TRAINING
  • 8.5.1 UPGRADING VOCATIONAL TRAINING THROUGH DIGITAL PLATFORMS
• 8.6 CORPORATE LEARNING & COMPLIANCE TRAINING
  • 8.6.1 ENSURING COMPLIANCE THROUGH DIGITAL TRAINING

9 DIGITAL EDUCATION MARKET, BY END USER

• 9.1 INTRODUCTION
  • 9.1.1 END USER: DIGITAL EDUCATION MARKET DRIVERS
• 9.2 ACADEMIC INSTITUTIONS
  • 9.2.1 MODERNIZING CLASSROOMS WITH DIGITAL EDUCATION
  • 9.2.2 SCHOOLS
  • 9.2.3 COLLEGES & UNIVERSITIES
• 9.3 CORPORATE & ENTERPRISE ORGANIZATIONS
  • 9.3.1 TRANSFORMING WORKFORCE AGILITY WITH DIGITAL LEARNING
  • 9.3.2 SMES
  • 9.3.3 LARGE ENTERPRISES
• 9.4 GOVERNMENT & PUBLIC SECTOR
  • 9.4.1 EQUIPPING CITIZENS WITH TECH-ENABLED TRAINING

10 DIGITAL EDUCATION MARKET, BY REGION

• 10.1 INTRODUCTION
• 10.2 NORTH AMERICA
  • 10.2.1 NORTH AMERICA: MARKET DRIVERS
  • 10.2.2 NORTH AMERICA: MACROECONOMIC OUTLOOK
  • 10.2.3 US
    • 10.2.3.1 Government initiatives and technological adoptions to drive market
  • 10.2.4 CANADA
    • 10.2.4.1 Strong focus on technology adoption in education to drive market
• 10.3 EUROPE
  • 10.3.1 EUROPE: MARKET DRIVERS
  • 10.3.2 EUROPE: MACROECONOMIC OUTLOOK
  • 10.3.3 UK
    • 10.3.3.1 Government investments and partnerships with tech companies to drive market
  • 10.3.4 GERMANY
    • 10.3.4.1 Investment in Digital Pact 2.0 to drive market
  • 10.3.5 FRANCE
    • 10.3.5.1 Emphasis on ensuring equal access to digital education resources to drive market
  • 10.3.6 ITALY
    • 10.3.6.1 Increasing focus on AI-integrated classrooms to drive market
  • 10.3.7 REST OF EUROPE
• 10.4 ASIA PACIFIC
  • 10.4.1 ASIA PACIFIC: MARKET DRIVERS
  • 10.4.2 ASIA PACIFIC: MACROECONOMIC OUTLOOK
  • 10.4.3 CHINA
    • 10.4.3.1 Strong government initiatives for online learning to drive market
  • 10.4.4 JAPAN
    • 10.4.4.1 GIGA School Program to expand digital education
  • 10.4.5 INDIA
    • 10.4.5.1 Widespread internet penetration, smartphone adoption, and government initiatives to drive market
  • 10.4.6 ANZ
    • 10.4.6.1 Increasing internet penetration and strong focus on future-ready skills to drive market
  • 10.4.7 REST OF ASIA PACIFIC
• 10.5 MIDDLE EAST & AFRICA
  • 10.5.1 MIDDLE EAST & AFRICA: MARKET DRIVERS
  • 10.5.2 MIDDLE EAST & AFRICA: MACROECONOMIC OUTLOOK
  • 10.5.3 GULF COOPERATION COUNCIL (GCC)
    • 10.5.3.1 UAE
      • 10.5.3.1.1 Evolution of digital learning solutions in schools to drive market
    • 10.5.3.2 Saudi Arabia
      • 10.5.3.2.1 Increasing adoption of AI-powered learning tools and virtual collaboration technologies to drive market
    • 10.5.3.3 Rest of GCC
  • 10.5.4 SOUTH AFRICA
    • 10.5.4.1 Increasing internet penetration and rising demand for quality education to drive market
  • 10.5.5 REST OF MIDDLE EAST & AFRICA
• 10.6 LATIN AMERICA
  • 10.6.1 LATIN AMERICA: MARKET DRIVERS
  • 10.6.2 LATIN AMERICA: MACROECONOMIC OUTLOOK
  • 10.6.3 BRAZIL
    • 10.6.3.1 Investments from international financing institutions to drive market
  • 10.6.4 MEXICO
    • 10.6.4.1 Growing emphasis on enhancing educational access and quality to drive market
  • 10.6.5 REST OF LATIN AMERICA

11 COMPETITIVE LANDSCAPE

• 11.1 INTRODUCTION
• 11.2 KEY PLAYER STRATEGIES/RIGHT TO WIN, 2022-2025
• 11.3 MARKET SHARE ANALYSIS, 2024
• 11.4 REVENUE ANALYSIS, 2020-2024
• 11.5 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2024
  • 11.5.1 STARS
  • 11.5.2 EMERGING LEADERS
  • 11.5.3 PERVASIVE PLAYERS
  • 11.5.4 PARTICIPANTS
  • 11.5.5 COMPANY FOOTPRINT: KEY PLAYERS, 2024
    • 11.5.5.1 Company footprint
    • 11.5.5.2 Region footprint
    • 11.5.5.3 Learning model footprint
    • 11.5.5.4 Course type footprint
    • 11.5.5.5 End user footprint
• 11.6 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2024
  • 11.6.1 PROGRESSIVE COMPANIES
  • 11.6.2 RESPONSIVE COMPANIES
  • 11.6.3 DYNAMIC COMPANIES
  • 11.6.4 STARTING BLOCKS
  • 11.6.5 COMPETITIVE BENCHMARKING: STARTUPS/SMES, 2024
    • 11.6.5.1 Detailed list of key startups/SMEs
    • 11.6.5.2 Competitive benchmarking of key startups/SMEs
• 11.7 COMPANY VALUATION AND FINANCIAL METRICS
  • 11.7.1 COMPANY VALUATION
  • 11.7.2 FINANCIAL METRICS
• 11.8 BRAND/PRODUCT COMPARISON
• 11.9 COMPETITIVE SCENARIO
  • 11.9.1 PRODUCT LAUNCHES AND ENHANCEMENTS
  • 11.9.2 DEALS

12 COMPANY PROFILES

• 12.1 INTRODUCTION
• 12.2 MAJOR PLAYERS
  • 12.2.1 COURSERA
    • 12.2.1.1 Business overview
    • 12.2.1.2 Products/Solutions/Services offered
    • 12.2.1.3 Recent developments
      • 12.2.1.3.1 Product launches and enhancements
      • 12.2.1.3.2 Deals
    • 12.2.1.4 MnM view
      • 12.2.1.4.1 Right to win
      • 12.2.1.4.2 Strategic choices
      • 12.2.1.4.3 Weaknesses and competitive threats
  • 12.2.2 UDEMY
    • 12.2.2.1 Business overview
    • 12.2.2.2 Products/Solutions/Services offered
    • 12.2.2.3 Recent developments
      • 12.2.2.3.1 Product launches and enhancements
      • 12.2.2.3.2 Deals
      • 12.2.2.3.3 Other developments
    • 12.2.2.4 MnM view
      • 12.2.2.4.1 Right to win
      • 12.2.2.4.2 Strategic choices
      • 12.2.2.4.3 Weaknesses and competitive threats
  • 12.2.3 EDX
    • 12.2.3.1 Business overview
    • 12.2.3.2 Products/Solutions/Services offered
    • 12.2.3.3 Recent developments
      • 12.2.3.3.1 Product launches and enhancements
      • 12.2.3.3.2 Deals
    • 12.2.3.4 MnM view
      • 12.2.3.4.1 Right to win
      • 12.2.3.4.2 Strategic choices
      • 12.2.3.4.3 Weaknesses and competitive threats
  • 12.2.4 PLURALSIGHT
    • 12.2.4.1 Business overview
    • 12.2.4.2 Products/Solutions/Services offered
    • 12.2.4.3 Recent developments
      • 12.2.4.3.1 Product launches and enhancements
      • 12.2.4.3.2 Deals
    • 12.2.4.4 MnM view
      • 12.2.4.4.1 Right to win
      • 12.2.4.4.2 Strategic choices
      • 12.2.4.4.3 Weaknesses and competitive threats
  • 12.2.5 UDACITY
    • 12.2.5.1 Business overview
    • 12.2.5.2 Products/Solutions/Services offered
    • 12.2.5.3 Recent developments
      • 12.2.5.3.1 Product launches and enhancements
      • 12.2.5.3.2 Deals
    • 12.2.5.4 MnM view
      • 12.2.5.4.1 Right to win
      • 12.2.5.4.2 Strategic choices
      • 12.2.5.4.3 Weaknesses and competitive threats
  • 12.2.6 INTELLIPAAT
    • 12.2.6.1 Business overview
    • 12.2.6.2 Products/Solutions/Services offered
    • 12.2.6.3 Recent developments
      • 12.2.6.3.1 Product launches and enhancements
      • 12.2.6.3.2 Deals
  • 12.2.7 SWAYAM
    • 12.2.7.1 Business overview
    • 12.2.7.2 Products/Solutions/Services offered
    • 12.2.7.3 Recent developments
      • 12.2.7.3.1 Product launches and enhancements
      • 12.2.7.3.2 Deals
  • 12.2.8 VERANDA LEARNING
    • 12.2.8.1 Business overview
    • 12.2.8.2 Products/Solutions/Services offered
    • 12.2.8.3 Recent developments
      • 12.2.8.3.1 Deals
  • 12.2.9 ALISON
    • 12.2.9.1 Business overview
    • 12.2.9.2 Products/Solutions/Services offered
    • 12.2.9.3 Recent developments
      • 12.2.9.3.1 Product launches and enhancements
      • 12.2.9.3.2 Deals
  • 12.2.10 LINKEDIN LEARNING
    • 12.2.10.1 Business overview
    • 12.2.10.2 Products/Solutions/Services offered
    • 12.2.10.3 Recent developments
      • 12.2.10.3.1 Deals
  • 12.2.11 IVERSITY
    • 12.2.11.1 Business overview
    • 12.2.11.2 Products/Solutions/Services offered
• 12.3 OTHER PLAYERS
  • 12.3.1 FUTURELEARN
  • 12.3.2 NOVOED
  • 12.3.3 XUETANG
  • 12.3.4 KHAN ACADEMY
  • 12.3.5 KADENZE
  • 12.3.6 FEDERICA WEB LEARNING
  • 12.3.7 TREEHOUSE
  • 12.3.8 SKILLSHARE
  • 12.3.9 CXL
  • 12.3.10 GO1
  • 12.3.11 DATACAMP
  • 12.3.12 PLATZI
  • 12.3.13 CHEGG
  • 12.3.14 MY MOOC

13 ADJACENT/RELATED MARKET

• 13.1 INTRODUCTION
  • 13.1.1 RELATED MARKETS
  • 13.1.2 LIMITATIONS
• 13.2 LEARNING MANAGEMENT SYSTEM MARKET
• 13.3 SMART LEARNING MARKET

14 APPENDIX

• 14.1 DISCUSSION GUIDE
• 14.2 KNOWLEDGESTORE: MARKETSANDMARKETS' SUBSCRIPTION PORTAL
• 14.3 CUSTOMIZATION OPTIONS
• 14.4 RELATED REPORTS
• 14.5 AUTHOR DETAILS