Global Smart Learning Market
Global Smart Learning Market

Smart Learning Comprehensive Study by End Users (Academic {K 12 Students, College Students}, Enterprises {Job Seekers, Working Professionals}), Component (Hardware {Interactive Displays, Interactive Projectors}, Software {Integrated Solution, Standalone Solution, Learning Management System (LMS)/ Learning Content Management System (LCMS), Student Information System (SIS), Test and Assessment, Collaboration, eContent}, Services {Consulting, Implementation, Support & Maintenance}), Learning Type (Synchronous Learning, Asynchronous Learning) Players and Region - Global Market Outlook to 2025

Smart Learning Market Segmented into XX Submarkets. | Forecast Years: 2020- 2025 | CAGR: 19.79%  

Mar 2020 Edition 240 Pages 212 Tables & Figures
  • Summary
  • Market Segments
  • Table of Content
  • List of Tables & Figures
  • Companies Mentioned
Smart Learning Market Scope
Smart learning is a comprehensive term for education in today’s digital age. It is the new vision in education using computers, internet, and multimedia in classroom teaching. It reflects how advanced technologies are enabling learners to digest knowledge and skills more effectively, conveniently, and efficiently. It is a smart and innovative learning concept for smart teachers of a smart school. Moreover, smart learning gives unique learning opportunities to students.

The market study is being classified and major geographies with country level break-up. According to AMA, the Global Smart Learning market is expected to see growth rate of 19.79%

Research Analyst at AMA predicts that United States Players will contribute to the maximum growth of Global Smart Learning market throughout the predicted period.

Samsung (South Korea), SMART Technologies (Canada), Blackboard (United States), Adobe (United States), Saba Software (United States), Oracle (United States), IBM (United States), SAP (Germany), Microsoft (United States), Cornerstone OnDemand (United States), BenQ (Taiwan), Huawei (China), Alphabet, Inc. (United States), D2L (Canada) and Newrow (United States) are some of the key players profiled in the study. Additionally, the Players which are also part of the research are Pearson Education (United Kingdom), McGraw-Hil (United States), CrossKnowledge (France), Ellucian (United States), Cisco Systems (United States) and Upside LMS (India).

Segmentation Overview
AdvanceMarketAnalytics has segmented the market of Global Smart Learning market by Type, Application and Region.

On the basis of geography, the market of Smart Learning has been segmented into South America (Brazil, Argentina, Rest of South America), Asia Pacific (China, Japan, India, South Korea, Taiwan, Australia, Rest of Asia-Pacific), Europe (Germany, France, Italy, United Kingdom, Netherlands, Rest of Europe), MEA (Middle East, Africa), North America (United States, Canada, Mexico).

Market Leaders and their expansionary development strategies
On 8 Jan 2020, SMART Technologies, a global leader in interactive education technology, announced that its latest lineup of solutions and services will be showcased to the public at the FETC (Future of Education Technology Conference) on January 14-17, 2020 and Bett (the British Educational Training & Technology Show) in London from January 22 – 25, 2020.
On 24 June 2019, AVID (Advancement Via Individual Determination) and SMART Technologies announced a collaboration in North America to help schools and students achieve better outcomes through the powerful combination of AVID's methodology and SMART's technology. Through this collaboration, the two organizations will look at opportunities to leverage and amplify AVID's inquiry-based, student-centric approach with best practices utilizing technology including SMART Board interactive displays and SMART Learning Suite software. and On 4 Nov 2019, Pearson, the world's learning company, announced the acquisition of Lumerit Education, an ed tech company that helps address the issues of college degree completion and affordability in the consumer and corporate markets. Lumerit uses data and analytics to match learner profiles to academic programs to enable more people to prosper in their lives through learning. The deal values Lumerit at USD 29 million.


Market Trend
  • The growing use of AI and ML in Smart Learning
  • The High Adoption of VR in Education

Market Drivers
  • Increasing Budget Allocations for eLearning Programs
  • The proliferation of Connected Devices in the Education Sector
  • Adoption of ELearning Solutions across All Geographic Regions

Opportunities
  • Potential Growth Opportunities for System Integrators
  • Increasing Spending on the Education Sector

Restraints
  • Increasing Cyberattacks on Educational Institutes and Enterprises to Raise Data Security and Privacy Concerns

Challenges
  • High Cost of Producing ELearning Content
  • Inability to Manage Real-Time and Unstructured Data


Key Target Audience
Smart Learning Software Providers, Smart Learning Hardware Providers, Smart Learning Service Providers, Potential Technology Investors, Regulatory & Government Bodies, Downstream Vendors, End Users and Others

Customization available in this Study:
The Study can be customized to meet your requirements. Please connect with our representative, who will ensure you get a report that suits your needs.
Data related to EXIM [Export- Import], production & consumption by country or regional level break-up can be provided based on client request**
** Confirmation on availability of data would be informed prior purchase
Report Objectives / Segmentation Covered
By End Users
  • Academic {K 12 Students, College Students}
  • Enterprises {Job Seekers, Working Professionals}

By Component
  • Hardware {Interactive Displays, Interactive Projectors}
  • Software {Integrated Solution, Standalone Solution, Learning Management System (LMS)/ Learning Content Management System (LCMS), Student Information System (SIS), Test and Assessment, Collaboration, eContent}
  • Services {Consulting, Implementation, Support & Maintenance}

By Learning Type
  • Synchronous Learning
  • Asynchronous Learning

By Regions
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Taiwan
    • Australia
    • Rest of Asia-Pacific
  • Europe
    • Germany
    • France
    • Italy
    • United Kingdom
    • Netherlands
    • Rest of Europe
  • MEA
    • Middle East
    • Africa
  • North America
    • United States
    • Canada
    • Mexico
  • 1. Market Overview
    • 1.1. Introduction
    • 1.2. Scope/Objective of the Study
      • 1.2.1. Research Objective
  • 2. Executive Summary
    • 2.1. Introduction
  • 3. Market Dynamics
    • 3.1. Introduction
    • 3.2. Market Drivers
      • 3.2.1. Increasing Budget Allocations for eLearning Programs
      • 3.2.2. The proliferation of Connected Devices in the Education Sector
      • 3.2.3. Adoption of ELearning Solutions across All Geographic Regions
    • 3.3. Market Challenges
      • 3.3.1. High Cost of Producing ELearning Content
      • 3.3.2. Inability to Manage Real-Time and Unstructured Data
    • 3.4. Market Trends
      • 3.4.1. The growing use of AI and ML in Smart Learning
      • 3.4.2. The High Adoption of VR in Education
  • 4. Market Factor Analysis
    • 4.1. Porters Five Forces
    • 4.2. Supply/Value Chain
    • 4.3. PESTEL analysis
    • 4.4. Market Entropy
    • 4.5. Patent/Trademark Analysis
  • 5. Global Smart Learning, by End Users, Component , Learning Type and Region (value) (2014-2019)
    • 5.1. Introduction
    • 5.2. Global Smart Learning (Value)
      • 5.2.1. Global Smart Learning by: End Users (Value)
        • 5.2.1.1. Academic {K 12 Students, College Students}
        • 5.2.1.2. Enterprises {Job Seekers, Working Professionals}
      • 5.2.2. Global Smart Learning by: Learning Type (Value)
        • 5.2.2.1. Synchronous Learning
        • 5.2.2.2. Asynchronous Learning
      • 5.2.3. Global Smart Learning Region
        • 5.2.3.1. South America
          • 5.2.3.1.1. Brazil
          • 5.2.3.1.2. Argentina
          • 5.2.3.1.3. Rest of South America
        • 5.2.3.2. Asia Pacific
          • 5.2.3.2.1. China
          • 5.2.3.2.2. Japan
          • 5.2.3.2.3. India
          • 5.2.3.2.4. South Korea
          • 5.2.3.2.5. Taiwan
          • 5.2.3.2.6. Australia
          • 5.2.3.2.7. Rest of Asia-Pacific
        • 5.2.3.3. Europe
          • 5.2.3.3.1. Germany
          • 5.2.3.3.2. France
          • 5.2.3.3.3. Italy
          • 5.2.3.3.4. United Kingdom
          • 5.2.3.3.5. Netherlands
          • 5.2.3.3.6. Rest of Europe
        • 5.2.3.4. MEA
          • 5.2.3.4.1. Middle East
          • 5.2.3.4.2. Africa
        • 5.2.3.5. North America
          • 5.2.3.5.1. United States
          • 5.2.3.5.2. Canada
          • 5.2.3.5.3. Mexico
  • 6. Smart Learning: Manufacturers/Players Analysis
    • 6.1. Competitive Landscape
      • 6.1.1. Market Share Analysis
        • 6.1.1.1. Top 3
        • 6.1.1.2. Top 5
    • 6.2. Peer Group Analysis (2019)
    • 6.3. BCG Matrix
    • 6.4. Company Profile
      • 6.4.1. Samsung (South Korea)
        • 6.4.1.1. Business Overview
        • 6.4.1.2. Products/Services Offerings
        • 6.4.1.3. Financial Analysis
        • 6.4.1.4. SWOT Analysis
      • 6.4.2. SMART Technologies (Canada)
        • 6.4.2.1. Business Overview
        • 6.4.2.2. Products/Services Offerings
        • 6.4.2.3. Financial Analysis
        • 6.4.2.4. SWOT Analysis
      • 6.4.3. Blackboard (United States)
        • 6.4.3.1. Business Overview
        • 6.4.3.2. Products/Services Offerings
        • 6.4.3.3. Financial Analysis
        • 6.4.3.4. SWOT Analysis
      • 6.4.4. Adobe (United States)
        • 6.4.4.1. Business Overview
        • 6.4.4.2. Products/Services Offerings
        • 6.4.4.3. Financial Analysis
        • 6.4.4.4. SWOT Analysis
      • 6.4.5. Saba Software (United States)
        • 6.4.5.1. Business Overview
        • 6.4.5.2. Products/Services Offerings
        • 6.4.5.3. Financial Analysis
        • 6.4.5.4. SWOT Analysis
      • 6.4.6. Oracle (United States)
        • 6.4.6.1. Business Overview
        • 6.4.6.2. Products/Services Offerings
        • 6.4.6.3. Financial Analysis
        • 6.4.6.4. SWOT Analysis
      • 6.4.7. IBM (United States)
        • 6.4.7.1. Business Overview
        • 6.4.7.2. Products/Services Offerings
        • 6.4.7.3. Financial Analysis
        • 6.4.7.4. SWOT Analysis
      • 6.4.8. SAP (Germany)
        • 6.4.8.1. Business Overview
        • 6.4.8.2. Products/Services Offerings
        • 6.4.8.3. Financial Analysis
        • 6.4.8.4. SWOT Analysis
      • 6.4.9. Microsoft (United States)
        • 6.4.9.1. Business Overview
        • 6.4.9.2. Products/Services Offerings
        • 6.4.9.3. Financial Analysis
        • 6.4.9.4. SWOT Analysis
      • 6.4.10. Cornerstone OnDemand (United States)
        • 6.4.10.1. Business Overview
        • 6.4.10.2. Products/Services Offerings
        • 6.4.10.3. Financial Analysis
        • 6.4.10.4. SWOT Analysis
      • 6.4.11. BenQ (Taiwan)
        • 6.4.11.1. Business Overview
        • 6.4.11.2. Products/Services Offerings
        • 6.4.11.3. Financial Analysis
        • 6.4.11.4. SWOT Analysis
      • 6.4.12. Huawei (China)
        • 6.4.12.1. Business Overview
        • 6.4.12.2. Products/Services Offerings
        • 6.4.12.3. Financial Analysis
        • 6.4.12.4. SWOT Analysis
      • 6.4.13. Alphabet, Inc. (United States)
        • 6.4.13.1. Business Overview
        • 6.4.13.2. Products/Services Offerings
        • 6.4.13.3. Financial Analysis
        • 6.4.13.4. SWOT Analysis
      • 6.4.14. D2L (Canada)
        • 6.4.14.1. Business Overview
        • 6.4.14.2. Products/Services Offerings
        • 6.4.14.3. Financial Analysis
        • 6.4.14.4. SWOT Analysis
      • 6.4.15. Newrow (United States)
        • 6.4.15.1. Business Overview
        • 6.4.15.2. Products/Services Offerings
        • 6.4.15.3. Financial Analysis
        • 6.4.15.4. SWOT Analysis
  • 7. Global Smart Learning Sale, by End Users, Component , Learning Type and Region (value) (2020-2025)
    • 7.1. Introduction
    • 7.2. Global Smart Learning (Value)
      • 7.2.1. Global Smart Learning by: End Users (Value)
        • 7.2.1.1. Academic {K 12 Students, College Students}
        • 7.2.1.2. Enterprises {Job Seekers, Working Professionals}
      • 7.2.2. Global Smart Learning by: Learning Type (Value)
        • 7.2.2.1. Synchronous Learning
        • 7.2.2.2. Asynchronous Learning
      • 7.2.3. Global Smart Learning Region
        • 7.2.3.1. South America
          • 7.2.3.1.1. Brazil
          • 7.2.3.1.2. Argentina
          • 7.2.3.1.3. Rest of South America
        • 7.2.3.2. Asia Pacific
          • 7.2.3.2.1. China
          • 7.2.3.2.2. Japan
          • 7.2.3.2.3. India
          • 7.2.3.2.4. South Korea
          • 7.2.3.2.5. Taiwan
          • 7.2.3.2.6. Australia
          • 7.2.3.2.7. Rest of Asia-Pacific
        • 7.2.3.3. Europe
          • 7.2.3.3.1. Germany
          • 7.2.3.3.2. France
          • 7.2.3.3.3. Italy
          • 7.2.3.3.4. United Kingdom
          • 7.2.3.3.5. Netherlands
          • 7.2.3.3.6. Rest of Europe
        • 7.2.3.4. MEA
          • 7.2.3.4.1. Middle East
          • 7.2.3.4.2. Africa
        • 7.2.3.5. North America
          • 7.2.3.5.1. United States
          • 7.2.3.5.2. Canada
          • 7.2.3.5.3. Mexico
  • 8. Appendix
    • 8.1. Acronyms
  • 9. Methodology and Data Source
    • 9.1. Methodology/Research Approach
      • 9.1.1. Research Programs/Design
      • 9.1.2. Market Size Estimation
      • 9.1.3. Market Breakdown and Data Triangulation
    • 9.2. Data Source
      • 9.2.1. Secondary Sources
      • 9.2.2. Primary Sources
    • 9.3. Disclaimer
List of Tables
  • Table 1. Smart Learning: by End Users(USD Million)
  • Table 2. Smart Learning Academic {K 12 Students, College Students} , by Region USD Million (2014-2019)
  • Table 3. Smart Learning Enterprises {Job Seekers, Working Professionals} , by Region USD Million (2014-2019)
  • Table 4. Smart Learning: by Learning Type(USD Million)
  • Table 5. Smart Learning Synchronous Learning , by Region USD Million (2014-2019)
  • Table 6. Smart Learning Asynchronous Learning , by Region USD Million (2014-2019)
  • Table 7. South America Smart Learning, by Country USD Million (2014-2019)
  • Table 8. South America Smart Learning, by End Users USD Million (2014-2019)
  • Table 9. South America Smart Learning, by Component USD Million (2014-2019)
  • Table 10. South America Smart Learning, by Learning Type USD Million (2014-2019)
  • Table 11. Brazil Smart Learning, by End Users USD Million (2014-2019)
  • Table 12. Brazil Smart Learning, by Component USD Million (2014-2019)
  • Table 13. Brazil Smart Learning, by Learning Type USD Million (2014-2019)
  • Table 14. Argentina Smart Learning, by End Users USD Million (2014-2019)
  • Table 15. Argentina Smart Learning, by Component USD Million (2014-2019)
  • Table 16. Argentina Smart Learning, by Learning Type USD Million (2014-2019)
  • Table 17. Rest of South America Smart Learning, by End Users USD Million (2014-2019)
  • Table 18. Rest of South America Smart Learning, by Component USD Million (2014-2019)
  • Table 19. Rest of South America Smart Learning, by Learning Type USD Million (2014-2019)
  • Table 20. Asia Pacific Smart Learning, by Country USD Million (2014-2019)
  • Table 21. Asia Pacific Smart Learning, by End Users USD Million (2014-2019)
  • Table 22. Asia Pacific Smart Learning, by Component USD Million (2014-2019)
  • Table 23. Asia Pacific Smart Learning, by Learning Type USD Million (2014-2019)
  • Table 24. China Smart Learning, by End Users USD Million (2014-2019)
  • Table 25. China Smart Learning, by Component USD Million (2014-2019)
  • Table 26. China Smart Learning, by Learning Type USD Million (2014-2019)
  • Table 27. Japan Smart Learning, by End Users USD Million (2014-2019)
  • Table 28. Japan Smart Learning, by Component USD Million (2014-2019)
  • Table 29. Japan Smart Learning, by Learning Type USD Million (2014-2019)
  • Table 30. India Smart Learning, by End Users USD Million (2014-2019)
  • Table 31. India Smart Learning, by Component USD Million (2014-2019)
  • Table 32. India Smart Learning, by Learning Type USD Million (2014-2019)
  • Table 33. South Korea Smart Learning, by End Users USD Million (2014-2019)
  • Table 34. South Korea Smart Learning, by Component USD Million (2014-2019)
  • Table 35. South Korea Smart Learning, by Learning Type USD Million (2014-2019)
  • Table 36. Taiwan Smart Learning, by End Users USD Million (2014-2019)
  • Table 37. Taiwan Smart Learning, by Component USD Million (2014-2019)
  • Table 38. Taiwan Smart Learning, by Learning Type USD Million (2014-2019)
  • Table 39. Australia Smart Learning, by End Users USD Million (2014-2019)
  • Table 40. Australia Smart Learning, by Component USD Million (2014-2019)
  • Table 41. Australia Smart Learning, by Learning Type USD Million (2014-2019)
  • Table 42. Rest of Asia-Pacific Smart Learning, by End Users USD Million (2014-2019)
  • Table 43. Rest of Asia-Pacific Smart Learning, by Component USD Million (2014-2019)
  • Table 44. Rest of Asia-Pacific Smart Learning, by Learning Type USD Million (2014-2019)
  • Table 45. Europe Smart Learning, by Country USD Million (2014-2019)
  • Table 46. Europe Smart Learning, by End Users USD Million (2014-2019)
  • Table 47. Europe Smart Learning, by Component USD Million (2014-2019)
  • Table 48. Europe Smart Learning, by Learning Type USD Million (2014-2019)
  • Table 49. Germany Smart Learning, by End Users USD Million (2014-2019)
  • Table 50. Germany Smart Learning, by Component USD Million (2014-2019)
  • Table 51. Germany Smart Learning, by Learning Type USD Million (2014-2019)
  • Table 52. France Smart Learning, by End Users USD Million (2014-2019)
  • Table 53. France Smart Learning, by Component USD Million (2014-2019)
  • Table 54. France Smart Learning, by Learning Type USD Million (2014-2019)
  • Table 55. Italy Smart Learning, by End Users USD Million (2014-2019)
  • Table 56. Italy Smart Learning, by Component USD Million (2014-2019)
  • Table 57. Italy Smart Learning, by Learning Type USD Million (2014-2019)
  • Table 58. United Kingdom Smart Learning, by End Users USD Million (2014-2019)
  • Table 59. United Kingdom Smart Learning, by Component USD Million (2014-2019)
  • Table 60. United Kingdom Smart Learning, by Learning Type USD Million (2014-2019)
  • Table 61. Netherlands Smart Learning, by End Users USD Million (2014-2019)
  • Table 62. Netherlands Smart Learning, by Component USD Million (2014-2019)
  • Table 63. Netherlands Smart Learning, by Learning Type USD Million (2014-2019)
  • Table 64. Rest of Europe Smart Learning, by End Users USD Million (2014-2019)
  • Table 65. Rest of Europe Smart Learning, by Component USD Million (2014-2019)
  • Table 66. Rest of Europe Smart Learning, by Learning Type USD Million (2014-2019)
  • Table 67. MEA Smart Learning, by Country USD Million (2014-2019)
  • Table 68. MEA Smart Learning, by End Users USD Million (2014-2019)
  • Table 69. MEA Smart Learning, by Component USD Million (2014-2019)
  • Table 70. MEA Smart Learning, by Learning Type USD Million (2014-2019)
  • Table 71. Middle East Smart Learning, by End Users USD Million (2014-2019)
  • Table 72. Middle East Smart Learning, by Component USD Million (2014-2019)
  • Table 73. Middle East Smart Learning, by Learning Type USD Million (2014-2019)
  • Table 74. Africa Smart Learning, by End Users USD Million (2014-2019)
  • Table 75. Africa Smart Learning, by Component USD Million (2014-2019)
  • Table 76. Africa Smart Learning, by Learning Type USD Million (2014-2019)
  • Table 77. North America Smart Learning, by Country USD Million (2014-2019)
  • Table 78. North America Smart Learning, by End Users USD Million (2014-2019)
  • Table 79. North America Smart Learning, by Component USD Million (2014-2019)
  • Table 80. North America Smart Learning, by Learning Type USD Million (2014-2019)
  • Table 81. United States Smart Learning, by End Users USD Million (2014-2019)
  • Table 82. United States Smart Learning, by Component USD Million (2014-2019)
  • Table 83. United States Smart Learning, by Learning Type USD Million (2014-2019)
  • Table 84. Canada Smart Learning, by End Users USD Million (2014-2019)
  • Table 85. Canada Smart Learning, by Component USD Million (2014-2019)
  • Table 86. Canada Smart Learning, by Learning Type USD Million (2014-2019)
  • Table 87. Mexico Smart Learning, by End Users USD Million (2014-2019)
  • Table 88. Mexico Smart Learning, by Component USD Million (2014-2019)
  • Table 89. Mexico Smart Learning, by Learning Type USD Million (2014-2019)
  • Table 90. Company Basic Information, Sales Area and Its Competitors
  • Table 91. Company Basic Information, Sales Area and Its Competitors
  • Table 92. Company Basic Information, Sales Area and Its Competitors
  • Table 93. Company Basic Information, Sales Area and Its Competitors
  • Table 94. Company Basic Information, Sales Area and Its Competitors
  • Table 95. Company Basic Information, Sales Area and Its Competitors
  • Table 96. Company Basic Information, Sales Area and Its Competitors
  • Table 97. Company Basic Information, Sales Area and Its Competitors
  • Table 98. Company Basic Information, Sales Area and Its Competitors
  • Table 99. Company Basic Information, Sales Area and Its Competitors
  • Table 100. Company Basic Information, Sales Area and Its Competitors
  • Table 101. Company Basic Information, Sales Area and Its Competitors
  • Table 102. Company Basic Information, Sales Area and Its Competitors
  • Table 103. Company Basic Information, Sales Area and Its Competitors
  • Table 104. Company Basic Information, Sales Area and Its Competitors
  • Table 105. Smart Learning: by End Users(USD Million)
  • Table 106. Smart Learning Academic {K 12 Students, College Students} , by Region USD Million (2020-2025)
  • Table 107. Smart Learning Enterprises {Job Seekers, Working Professionals} , by Region USD Million (2020-2025)
  • Table 108. Smart Learning: by Learning Type(USD Million)
  • Table 109. Smart Learning Synchronous Learning , by Region USD Million (2020-2025)
  • Table 110. Smart Learning Asynchronous Learning , by Region USD Million (2020-2025)
  • Table 111. South America Smart Learning, by Country USD Million (2020-2025)
  • Table 112. South America Smart Learning, by End Users USD Million (2020-2025)
  • Table 113. South America Smart Learning, by Component USD Million (2020-2025)
  • Table 114. South America Smart Learning, by Learning Type USD Million (2020-2025)
  • Table 115. Brazil Smart Learning, by End Users USD Million (2020-2025)
  • Table 116. Brazil Smart Learning, by Component USD Million (2020-2025)
  • Table 117. Brazil Smart Learning, by Learning Type USD Million (2020-2025)
  • Table 118. Argentina Smart Learning, by End Users USD Million (2020-2025)
  • Table 119. Argentina Smart Learning, by Component USD Million (2020-2025)
  • Table 120. Argentina Smart Learning, by Learning Type USD Million (2020-2025)
  • Table 121. Rest of South America Smart Learning, by End Users USD Million (2020-2025)
  • Table 122. Rest of South America Smart Learning, by Component USD Million (2020-2025)
  • Table 123. Rest of South America Smart Learning, by Learning Type USD Million (2020-2025)
  • Table 124. Asia Pacific Smart Learning, by Country USD Million (2020-2025)
  • Table 125. Asia Pacific Smart Learning, by End Users USD Million (2020-2025)
  • Table 126. Asia Pacific Smart Learning, by Component USD Million (2020-2025)
  • Table 127. Asia Pacific Smart Learning, by Learning Type USD Million (2020-2025)
  • Table 128. China Smart Learning, by End Users USD Million (2020-2025)
  • Table 129. China Smart Learning, by Component USD Million (2020-2025)
  • Table 130. China Smart Learning, by Learning Type USD Million (2020-2025)
  • Table 131. Japan Smart Learning, by End Users USD Million (2020-2025)
  • Table 132. Japan Smart Learning, by Component USD Million (2020-2025)
  • Table 133. Japan Smart Learning, by Learning Type USD Million (2020-2025)
  • Table 134. India Smart Learning, by End Users USD Million (2020-2025)
  • Table 135. India Smart Learning, by Component USD Million (2020-2025)
  • Table 136. India Smart Learning, by Learning Type USD Million (2020-2025)
  • Table 137. South Korea Smart Learning, by End Users USD Million (2020-2025)
  • Table 138. South Korea Smart Learning, by Component USD Million (2020-2025)
  • Table 139. South Korea Smart Learning, by Learning Type USD Million (2020-2025)
  • Table 140. Taiwan Smart Learning, by End Users USD Million (2020-2025)
  • Table 141. Taiwan Smart Learning, by Component USD Million (2020-2025)
  • Table 142. Taiwan Smart Learning, by Learning Type USD Million (2020-2025)
  • Table 143. Australia Smart Learning, by End Users USD Million (2020-2025)
  • Table 144. Australia Smart Learning, by Component USD Million (2020-2025)
  • Table 145. Australia Smart Learning, by Learning Type USD Million (2020-2025)
  • Table 146. Rest of Asia-Pacific Smart Learning, by End Users USD Million (2020-2025)
  • Table 147. Rest of Asia-Pacific Smart Learning, by Component USD Million (2020-2025)
  • Table 148. Rest of Asia-Pacific Smart Learning, by Learning Type USD Million (2020-2025)
  • Table 149. Europe Smart Learning, by Country USD Million (2020-2025)
  • Table 150. Europe Smart Learning, by End Users USD Million (2020-2025)
  • Table 151. Europe Smart Learning, by Component USD Million (2020-2025)
  • Table 152. Europe Smart Learning, by Learning Type USD Million (2020-2025)
  • Table 153. Germany Smart Learning, by End Users USD Million (2020-2025)
  • Table 154. Germany Smart Learning, by Component USD Million (2020-2025)
  • Table 155. Germany Smart Learning, by Learning Type USD Million (2020-2025)
  • Table 156. France Smart Learning, by End Users USD Million (2020-2025)
  • Table 157. France Smart Learning, by Component USD Million (2020-2025)
  • Table 158. France Smart Learning, by Learning Type USD Million (2020-2025)
  • Table 159. Italy Smart Learning, by End Users USD Million (2020-2025)
  • Table 160. Italy Smart Learning, by Component USD Million (2020-2025)
  • Table 161. Italy Smart Learning, by Learning Type USD Million (2020-2025)
  • Table 162. United Kingdom Smart Learning, by End Users USD Million (2020-2025)
  • Table 163. United Kingdom Smart Learning, by Component USD Million (2020-2025)
  • Table 164. United Kingdom Smart Learning, by Learning Type USD Million (2020-2025)
  • Table 165. Netherlands Smart Learning, by End Users USD Million (2020-2025)
  • Table 166. Netherlands Smart Learning, by Component USD Million (2020-2025)
  • Table 167. Netherlands Smart Learning, by Learning Type USD Million (2020-2025)
  • Table 168. Rest of Europe Smart Learning, by End Users USD Million (2020-2025)
  • Table 169. Rest of Europe Smart Learning, by Component USD Million (2020-2025)
  • Table 170. Rest of Europe Smart Learning, by Learning Type USD Million (2020-2025)
  • Table 171. MEA Smart Learning, by Country USD Million (2020-2025)
  • Table 172. MEA Smart Learning, by End Users USD Million (2020-2025)
  • Table 173. MEA Smart Learning, by Component USD Million (2020-2025)
  • Table 174. MEA Smart Learning, by Learning Type USD Million (2020-2025)
  • Table 175. Middle East Smart Learning, by End Users USD Million (2020-2025)
  • Table 176. Middle East Smart Learning, by Component USD Million (2020-2025)
  • Table 177. Middle East Smart Learning, by Learning Type USD Million (2020-2025)
  • Table 178. Africa Smart Learning, by End Users USD Million (2020-2025)
  • Table 179. Africa Smart Learning, by Component USD Million (2020-2025)
  • Table 180. Africa Smart Learning, by Learning Type USD Million (2020-2025)
  • Table 181. North America Smart Learning, by Country USD Million (2020-2025)
  • Table 182. North America Smart Learning, by End Users USD Million (2020-2025)
  • Table 183. North America Smart Learning, by Component USD Million (2020-2025)
  • Table 184. North America Smart Learning, by Learning Type USD Million (2020-2025)
  • Table 185. United States Smart Learning, by End Users USD Million (2020-2025)
  • Table 186. United States Smart Learning, by Component USD Million (2020-2025)
  • Table 187. United States Smart Learning, by Learning Type USD Million (2020-2025)
  • Table 188. Canada Smart Learning, by End Users USD Million (2020-2025)
  • Table 189. Canada Smart Learning, by Component USD Million (2020-2025)
  • Table 190. Canada Smart Learning, by Learning Type USD Million (2020-2025)
  • Table 191. Mexico Smart Learning, by End Users USD Million (2020-2025)
  • Table 192. Mexico Smart Learning, by Component USD Million (2020-2025)
  • Table 193. Mexico Smart Learning, by Learning Type USD Million (2020-2025)
  • Table 194. Research Programs/Design for This Report
  • Table 195. Key Data Information from Secondary Sources
  • Table 196. Key Data Information from Primary Sources
List of Figures
  • Figure 1. Porters Five Forces
  • Figure 2. Supply/Value Chain
  • Figure 3. PESTEL analysis
  • Figure 4. Global Smart Learning: by End Users USD Million (2014-2019)
  • Figure 5. Global Smart Learning: by Learning Type USD Million (2014-2019)
  • Figure 6. South America Smart Learning Share (%), by Country
  • Figure 7. Asia Pacific Smart Learning Share (%), by Country
  • Figure 8. Europe Smart Learning Share (%), by Country
  • Figure 9. MEA Smart Learning Share (%), by Country
  • Figure 10. North America Smart Learning Share (%), by Country
  • Figure 11. Global Smart Learning share by Players 2019 (%)
  • Figure 12. Global Smart Learning share by Players (Top 3) 2019(%)
  • Figure 13. Global Smart Learning share by Players (Top 5) 2019(%)
  • Figure 14. BCG Matrix for key Companies
  • Figure 15. Samsung (South Korea) Revenue, Net Income and Gross profit
  • Figure 16. Samsung (South Korea) Revenue: by Geography 2019
  • Figure 17. SMART Technologies (Canada) Revenue, Net Income and Gross profit
  • Figure 18. SMART Technologies (Canada) Revenue: by Geography 2019
  • Figure 19. Blackboard (United States) Revenue, Net Income and Gross profit
  • Figure 20. Blackboard (United States) Revenue: by Geography 2019
  • Figure 21. Adobe (United States) Revenue, Net Income and Gross profit
  • Figure 22. Adobe (United States) Revenue: by Geography 2019
  • Figure 23. Saba Software (United States) Revenue, Net Income and Gross profit
  • Figure 24. Saba Software (United States) Revenue: by Geography 2019
  • Figure 25. Oracle (United States) Revenue, Net Income and Gross profit
  • Figure 26. Oracle (United States) Revenue: by Geography 2019
  • Figure 27. IBM (United States) Revenue, Net Income and Gross profit
  • Figure 28. IBM (United States) Revenue: by Geography 2019
  • Figure 29. SAP (Germany) Revenue, Net Income and Gross profit
  • Figure 30. SAP (Germany) Revenue: by Geography 2019
  • Figure 31. Microsoft (United States) Revenue, Net Income and Gross profit
  • Figure 32. Microsoft (United States) Revenue: by Geography 2019
  • Figure 33. Cornerstone OnDemand (United States) Revenue, Net Income and Gross profit
  • Figure 34. Cornerstone OnDemand (United States) Revenue: by Geography 2019
  • Figure 35. BenQ (Taiwan) Revenue, Net Income and Gross profit
  • Figure 36. BenQ (Taiwan) Revenue: by Geography 2019
  • Figure 37. Huawei (China) Revenue, Net Income and Gross profit
  • Figure 38. Huawei (China) Revenue: by Geography 2019
  • Figure 39. Alphabet, Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 40. Alphabet, Inc. (United States) Revenue: by Geography 2019
  • Figure 41. D2L (Canada) Revenue, Net Income and Gross profit
  • Figure 42. D2L (Canada) Revenue: by Geography 2019
  • Figure 43. Newrow (United States) Revenue, Net Income and Gross profit
  • Figure 44. Newrow (United States) Revenue: by Geography 2019
  • Figure 45. Global Smart Learning: by End Users USD Million (2020-2025)
  • Figure 46. Global Smart Learning: by Learning Type USD Million (2020-2025)
  • Figure 47. South America Smart Learning Share (%), by Country
  • Figure 48. Asia Pacific Smart Learning Share (%), by Country
  • Figure 49. Europe Smart Learning Share (%), by Country
  • Figure 50. MEA Smart Learning Share (%), by Country
  • Figure 51. North America Smart Learning Share (%), by Country
Some of the key companies/manufacturers profiled in the report
  • Samsung (South Korea)
  • SMART Technologies (Canada)
  • Blackboard (United States)
  • Adobe (United States)
  • Saba Software (United States)
  • Oracle (United States)
  • IBM (United States)
  • SAP (Germany)
  • Microsoft (United States)
  • Cornerstone OnDemand (United States)
  • BenQ (Taiwan)
  • Huawei (China)
  • Alphabet, Inc. (United States)
  • D2L (Canada)
  • Newrow (United States)
Additional players considered in the study are as follows:
Pearson Education (United Kingdom) , McGraw-Hil (United States) , CrossKnowledge (France) , Ellucian (United States) , Cisco Systems (United States) , Upside LMS (India)
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