The overall EdTech market is expected to grow from USD 17.7 billion in 2017 to USD 40.9 billion by 2022; it is estimated to grow at a CAGR of 18% during the forecast years. The Indian education market is expected to grow from USD 0.25 Billion in 2017 to 1.96 Billion in 2021 at CAGR of 52% during the forecasted years. Key factors driving the growth of this market include the internet penetration, increase in disposal income, improve educational infrastructure, global certifications, increase in a number of universities and institutes, techno-driven learnings, Startups cultures, government digital initiatives, Foreign Direct Investments, etc.

Attractive Opportunity in EdTech Market in India
  • 3rd largest Education hub, with more than 900+ Universities and 39000+ institutes excluding several private training & vocational institutes.
  • Strong economic growth with an estimated GDP of $ 2.17 Trillion and is among the top 5 economies in the world.
  • Indian might be overshadowed by the developed countries and big EdTech giants but with changing Edutech drivers, India can be seen as a 2nd next emerging giant market for education in 2020.
EDTECH MARKET DYNAMICS ACROSS WORLD
  • CAMPUS CRM & ERP

    It is interesting to know that CRM software is being prominently used in premier institutes of the world to manage regular affairs.

    "Over 70% of institutes today have introduced a digital tool like CRM or Application Management system to ease the burden on counselors and increase admissions drastically."

    According to Advance Global Higher Education "64% reported using at least one CRM, and 42% of institutes who don’t have CRM are considering one."

  • ADMISSION AUTOMATION

    India is considered to be a hub for student enrolment tool in ASIA Pacific Market. The total share of admission automation in Edutech market in India will be 9% by 2021.

    According to research, 30% of Institutes and universities get benefited by marketing automation in Students enrolment.

  • GAMIFICATION LEARNING

    ASIA PACIFIC, (majorly China and India) is expected to become one of the major adopters of gamification techniques by 2020.

    The global gamification market to grow from USD 1.65 billion in 2015 to USD 11.10 billion by 2020, at a CAGR of 46.3%.

  • MOBILE & ONLINE LEARNING

    Global mobile learning Market to grow from $7.98 billion in 2015 to $37.60 billion by 2020, at a Compound Annual Growth Rate (CAGR) of 36.3%.

    North America is expected to be the largest market in terms of market size, while Europe and Asia-Pacific are expected to experience an increase in market tractions by 2022

  • LIBRARY MANAGEMENT SOFTWARE

    Library Management Software Market Worth USD 2.80 Billion By 2024.

    Asia Pacific is projected to grow with the fastest CAGR of 5.1% in the global library management software market as schools, university and other academic institutions in major countries

Key Questions that are covered in this report
  1. What will be the Global EdTech market expansion in next 5 years?
  2. What will be Indian Higher Education market readiness for EdTech by 2021?
  3. What are the Key growth drivers and challenges for new market entrance for EdTech?
  4. What are the challenges faced by the higher education sector in term of adopting technology?
  5. What are the expectations of top management while transforming their university and institute technologically?
  6. Which are the top applications of Artificial Intelligence in the higher education?
  7. What will be the potential EdTech market in India by 2024?
  8. Which are the best tools for the higher education sector in India in 2019?
  9. Which are the emerging tools that have the potential to crack Indian Higher Education Market by 2020?
1. Executive summary
  • 1.1. Overview
  • 1.2. Edutech Key Metrics
  • 1.3. EduTech Landscape in Indian Higher Education
  • 1.4. Advantage of EduTech In India
  • 1.5. Key Growth Drivers
  • 1.6. Key Challenges
  • 1.7. Recommendations
  • 1.8. Future Scope
2. Research Objective, Design and Methodology
  • 2.1. Scope of Research
  • 2.2. Research Objectives
  • 2.3. Methodology
  • 2.4. Scope of Domains
  • 2.5. Information Areas
    • 2.5.1. EduTech Acceptor - Directors, Deans, Faculty, Marketers, Non-Academic Staff
    • 2.5.2. EduTech Adopter - Head of Marketing, IT Cell, Placement Cell, Alumni Cell, Administration Cell.
    • 2.5.3. EduTech Accelerator - Existing Students, Alumni
3. Global Higher Education- Future Trends of Technology
  • 3.1. EduTech Analysis – By Economic
  • 3.2. EduTech Analysis – By Geographic
  • 3.3. EduTech Market Dynamics
  • 3.4. Potential EduTech Market in Top Countries by 2020
  • 3.5. EduTech Funding
  • 3.6. Scope of Artificial Intelligence in EduTech
  • 3.7. Top 10 Well -Funded Startups 2018
  • 3.8. Top 4 Artificial Intelligence Based EduTech Startups in the World
  • 3.9. Global Education Attainment by 2020
  • 3.10. Projection of World Population by level of Education
  • 3.11. Key Trends and Recent Developments
4. Indian Higher Education -Thrives for Technology
  • 4.1. Higher Education Landscape in India
  • 4.2. Overview of Indian Education
    • 4.2.1. EduTech - By Education
    • 4.2.2. EduTech - By User
    • 4.2.3. EduTech - By Infrastructure
    • 4.2.4. EduTech - By Demands
    • 4.2.5. EduTech - By Segment
  • 4.3. EduTech Ecosystem in India
    • 4.3.1. EduTech and Public Policy
      • 4.3.1.1. Drivers
      • 4.3.1.2. Restraint
      • 4.3.1.3. Opportunities
      • 4.3.1.4. Challenges
    • 4.3.2. EduTech Startups – By Region
    • 4.3.3. EduTech Startups – By Segmentation
    • 4.3.4. Higher Education Model – B2C & B2B
    • 4.3.5. Need vs. Supply Analysis
    • 4.3.6. EduTech in Academic Life Journey
      • 4.3.6.1. EduTech Journey - By Admission
      • 4.3.6.2. EduTech Journey - By Administration
      • 4.3.6.3. EduTech Journey - By Learning
      • 4.3.6.4. EduTech Journey - By Library
      • 4.3.6.5. EduTech Journey - By Placements
      • 4.3.6.6. EduTech Journey - By Alumni
      • 4.3.6.7. EduTech Journey - By All-in-one
    • 4.3.7. EduTech In University and Institutes
    • 4.3.8. EduTech Startups Funding Across India
    • 4.3.9. Recent Development and Future Trends
      • 4.3.9.1. EduTech Projection - By 2020
      • 4.3.9.2. EduTech Projection - By 2024
      • 4.3.9.3. EduTech Projection - By 2028
5. Top 50 EduTech Tools in Higher Education 2019
  • 5.1. Overview
  • 5.2. Listing of Players
    • 5.2.1. EduTech Players -By Admission Automation
    • 5.2.2. EduTech Players -By Administration
    • 5.2.3. EduTech Players -By Learning
    • 5.2.4. EduTech Players -By Library
    • 5.2.5. EduTech Players -By Placements
    • 5.2.6. EduTech Players -By Alumni
    • 5.2.7. EduTech Players -By Marketing
    • 5.2.8. EduTech Players -By All-In-One
  • 5.3. Case Study – IIM Sambalpur
  • 5.4. The Most Innovative Tools for Admission
    • 5.4.1. Overview
    • 5.4.2. Horizon of Admission Automation
    • 5.4.3. Listing of Players
    • 5.4.4. Upcoming Players
  • 5.5. Case Study - IIM Bangalore
  • 5.6. The Most Disruptive Tools for Administration
    • 5.6.1. Overview
    • 5.6.2. Flow of Administration
    • 5.6.3. Listing of Players
    • 5.6.4. Upcoming Players
  • 5.7. Case Study – IIM Indore
  • 5.8. The Most Promising Tools for Learning
    • 5.8.1. Overview
    • 5.8.2. Scope of Learning and Pedagogy
    • 5.8.3. Listing of Players
    • 5.8.4. Upcoming Players
  • 5.9. Case Study – NMIMS Mumbai
  • 5.10. The Most Efficient Tools for Library
    • 5.10.1. Overview
    • 5.10.2. Model for Library management
    • 5.10.3. Listing of Players
    • 5.10.4. Upcoming Players
  • 5.11. The Most Admired Tools for Placements
    • 5.11.1. Overview
    • 5.11.2. Scope for Placement Tools
    • 5.11.3. Listing of Players
    • 5.11.4. Emerging Players
  • 5.12. Case Study- SIBM Hyderabad
  • 5.13. The Most Unique Tools for Alumni
    • 5.13.1. Overview
    • 5.13.2. Prospects for Alumni Engagement Tools
    • 5.13.3. Listing of Players
    • 5.13.4. Upcoming Players
  • 5.14. The Emerging Artificial Intelligence Tools
    • 5.14.1. Overview
    • 5.14.2. Scope for Artificial Intelligence Tools
    • 5.14.3. Listing of Players
6. Strategy Outcomes
  • 6.1. Framework for Building EduTech Ecosystem
    • 6.1.1. Framework for Online Learning in India
  • 6.2. Quality and Productivity Enhancement in Future
  • 6.3. Enhancement of EduTech Landscape in India
Diagram
  • Diagram 1. Scope of Research
  • Diagram 2. Sample Size Planned
  • Diagram 3. Potential EduTech Market in Top Countries by 2020
  • Diagram 4. Overview of Indian Education
  • Diagram 5. Higher Education Model – B2C & B2B
  • Diagram 6. Need vs. Supply Analysis
  • Diagram 7. EduTech in Academic Life Journey
  • Diagram 8. Horizon of Admission Automation
  • Diagram 9. Flow of Administration
  • Diagram 10. Scope of Learning and Pedagogy
  • Diagram 11. Model for Library management
  • Diagram 12. Scope for Placement Tools
  • Diagram 13. Prospects for Alumni Engagement Tools
  • Diagram 14. Scope for Marketing Tools
  • Diagram 15. Framework for Building EduTech Ecosystem
Tables
  • Table 1: Tools and Attribution
  • Table 2: Scope of Domains
  • Table 3: Information Areas
  • Table 4: Sample Size of Participants - By Cities
  • Table 5: Sample Size of Participants - By Region
  • Table 6: Sample Size of Participants - By Category
  • Table 7: EduTech Projection by 2020
  • Table 8: EduTech Projection by 2024
  • Table 9: EduTech Projection by 2028
  • Table 10: Top 50 EduTech Tools in Higher Education 2019
  • Table 11: The Most Innovative Tools for Admission
  • Table 12: Emerging tools for Admission
  • Table 13: The Most Disruptive Tools for Administration
  • Table 14: The Emerging tools for Administrative
  • Table 15: The Most Promising Tools for Learning
  • Table 16: The Emerging tools for Learning and Pedagogy
  • Table 17: The Most Efficient Tools for Library
  • Table 18: The Emerging tools for Library Management
  • Table 19: The Most Admired Tools for Placements
  • Table 20: The Emerging tools for Placement Management
  • Table 22: The Most Unique Tools for Alumni
  • Table 23: The Emerging tools for Alumni Management
  • Table 24: The Emerging Artificial Intelligence Tools
Methodology

The Top 50 EduTech Tools in Higher Education survey has been conducted by ASMA (short of Adoption of social media in Academia). The study involved 4 major activities in estimating the EdTech market size. Exhaustive secondary research has been done to collect information on the global and Indian market. To validate these findings, assumptions, and sizing with industry experts across the value chain through primary research has been the next step. Both top-down and bottom-up approaches have been employed to estimate the complete market size.

Secondary Research

The research methodology used to estimate and forecast the market size begins with capturing data on revenues of key EdTech players in the market through secondary research. This study incorporates extensive use of secondary sources, directories, and databases to identify and collect information useful for a technical, market-oriented, and commercial study of the EdTech market. The entire research methodology includes studying reports, press releases, and investor presentations of companies; white papers; and certified publications and articles from recognized authors, directories, and databases.

Primary Research

The research methodology used to estimate and forecast the market size begins with capturing data on revenues of key EdTech players in the market through secondary research. This study incorporates extensive use of secondary sources, directories, and databases to identify and collect information useful for a technical, market-oriented, and commercial study of the EdTech market. The entire research methodology includes studying reports, press releases, and investor presentations of companies; white papers; and certified publications and articles from recognized authors, directories, and databases.

Tool Evaluation

Stage 1: Each respondent was asked to indicate the familiarity for each tool on a four points scale.

Stage 2: The respondent evaluated all the tools that been rated by him/her, 3 or 4 on the familiarity scale. Those who had rated 1 or 2, were not asked to evaluate and considered there score equal to zero.

Stage 3: Rating and Score

  • Step1: Overall Rating
    The evaluation was done at an overall level for each tool indicated his and her rating on 5 points scale where 1 stands for extremely dissatisfied and 5 for extremely satisfied.
  • Step 2:Attribute Rating
    The respondents were then asked to respond to four statement that defined tools attributes on a 5 points scale where 1 being the lowest and 5 being the highest points.
  • Step 3: Scoring
    The final tool score is arrived through a following process,
    1. Calculated a tool overall score for each respondent by weighted multiplication method.
    2. The overall score for each tool was then multiply with score of familiarity, which were either 3 or 4.
    3. The total of all the tools were then dived by the number of respondents, it gave final score of each tool irrespective of respondent level of familiarity, i.e. average of total score of each tool across respondent.
    4. Final scores were then arranged in descending order to arrive at ranking.
  • Step 4: Tools and Attributes
    All the tools were divided into 7 categories, including Admission Automation, Administration, Learning & Pedagogy, Library Management, Alumni Connect, Placement Management and All-in-One, respondents were then exposed to these tools according to their profession. The list of statement and attributes.
Breakdown of Participants

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