Global Adaptive Learning Software Market
Global Adaptive Learning Software Market

Adaptive Learning Software Comprehensive Study by Application (Student Collaboration, Analytics and Insight, E-Learning Authoring, Integrated Learning Management System, Others), End user (Ed-tech companies, Educational institutions, Corporate Sector), Deployment (Cloud-based, On-Premise, Others) Players and Region - Global Market Outlook to 2024

Adaptive Learning Software Market Segmented into XX Submarkets. | Forecast Years: 2020- 2025 | CAGR: 29.9%  

Dec 2019 Edition 241 Pages 200 Tables & Figures
  • Summary
  • Market Segments
  • Table of Content
  • List of Tables & Figures
  • Companies Mentioned
Adaptive Learning Software Market Scope
The term adaptive learning refers to a way of online instruction that involves providing personalized learning experiences resulting from a data-driven approach to curriculum design. This technique builds on customized learning paths derived from algorithms, course analytics, assessment data, and feedback from students and might be used both to provide remediation and to assist learners to achieve mastery of content. Support for adaptive learning has been seen recently across higher education. The fast development of the internet and new technologies that are related to the distance learning system within the network environment has been greatly advanced. The demand for adaptive learning software has been surged across the world, owing to the rapid technological advancements and higher internet infrastructure. Adaptive learning software enhances student learning, engagement, and participation in many study programs.

The market study is being classified, by Application (Student Collaboration, Analytics and Insight, E-Learning Authoring, Integrated Learning Management System and Others) and major geographies with country level break-up. According to AMA, the Global Adaptive Learning Software market is expected to see growth rate of 29.9%

The Vendors having a strong hold in the market are McGraw-Hill Education, Dreambox Learning, Inc., SMART SPARROW PTY LTD., and D2L Corporation, Knewton. Research Analyst at AMA predicts that United States Vendors will contribute to the maximum growth of Global Adaptive Learning Software market throughout the predicted period.

McGraw-Hill Education (United States), Dreambox Learning, Inc. (United States), SMART SPARROW PTY LTD. (Australia), D2L Corporation, Knewton (Canada), New Leaf Technologies (United States), Realizeit (Ireland), Fishtree (Ireland), Scootpad (United States) and Kidaptive. (United States) are some of the key players profiled in the study. Additionally, the Vendors which are also part of the research are Knewton (United States), EdSurge (United States) and Docebo (United States).

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

On the basis of geography, the market of Adaptive Learning Software 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). North America region held largest market share in the year 2018.

Market Leaders and their expansionary development strategies
On 12 July 2018, Follett announced the acquisition of Fishtree, a leading adaptive learning platform that streamlines both the technical integration as well as educational adoption of personalized learning in school classrooms. This acquisition is expected to incorporate the machine-based learning tools of Fishtree within Follett's industry-leading Destiny content as well as resource management platform used by more than 70,000 schools across North America.
Recently, Kidaptive, the adaptive-learning company concentrating on creating a vibrant ecosystem of modified education experiences for learners of all ages, has announced the close of a 19.1 USD Million Series C financing round led by Woongjin ThinkBig and Formation 8, a leading Korea-based education company.


Market Trend
  • Growing Number of Strategic Partnerships among Adaptive Learning Software Vendors
  • Increased Emphasis on Teacher Training
  • Rising Use of Gamification

Market Drivers
  • Adoption of Adaptive Software Programs in Schools and Colleges
  • Personalization of the Learning Process
  • Increase in Government Initiatives for Education
  • Bring-Your-Own-Device Initiatives
  • Inclusion of analytics

Opportunities
  • Emerging Demand from Economies

Restraints
  • Lack of Awareness
  • Low ICT Expenditure in Underdeveloped Regions

Challenges
  • Increasing cost related to implementation and training


Key Target Audience
Adaptive Learning Software Providers, Industry association, Downstream vendors, Government Bodies and End Users

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 Application
  • Student Collaboration
  • Analytics and Insight
  • E-Learning Authoring
  • Integrated Learning Management System
  • Others
By End user
  • Ed-tech companies
  • Educational institutions
  • Corporate Sector

By Deployment
  • Cloud-based
  • On-Premise
  • Others

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. Adoption of Adaptive Software Programs in Schools and Colleges
      • 3.2.2. Personalization of the Learning Process
      • 3.2.3. Increase in Government Initiatives for Education
      • 3.2.4. Bring-Your-Own-Device Initiatives
      • 3.2.5. Inclusion of analytics
    • 3.3. Market Challenges
      • 3.3.1. Increasing cost related to implementation and training
    • 3.4. Market Trends
      • 3.4.1. Growing Number of Strategic Partnerships among Adaptive Learning Software Vendors
      • 3.4.2. Increased Emphasis on Teacher Training
      • 3.4.3. Rising Use of Gamification
  • 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 Adaptive Learning Software, by Application, End user , Deployment and Region (value) (2013-2018)
    • 5.1. Introduction
    • 5.2. Global Adaptive Learning Software (Value)
      • 5.2.1. Global Adaptive Learning Software by: Application (Value)
        • 5.2.1.1. Student Collaboration
        • 5.2.1.2. Analytics and Insight
        • 5.2.1.3. E-Learning Authoring
        • 5.2.1.4. Integrated Learning Management System
        • 5.2.1.5. Others
      • 5.2.2. Global Adaptive Learning Software Region
        • 5.2.2.1. South America
          • 5.2.2.1.1. Brazil
          • 5.2.2.1.2. Argentina
          • 5.2.2.1.3. Rest of South America
        • 5.2.2.2. Asia Pacific
          • 5.2.2.2.1. China
          • 5.2.2.2.2. Japan
          • 5.2.2.2.3. India
          • 5.2.2.2.4. South Korea
          • 5.2.2.2.5. Taiwan
          • 5.2.2.2.6. Australia
          • 5.2.2.2.7. Rest of Asia-Pacific
        • 5.2.2.3. Europe
          • 5.2.2.3.1. Germany
          • 5.2.2.3.2. France
          • 5.2.2.3.3. Italy
          • 5.2.2.3.4. United Kingdom
          • 5.2.2.3.5. Netherlands
          • 5.2.2.3.6. Rest of Europe
        • 5.2.2.4. MEA
          • 5.2.2.4.1. Middle East
          • 5.2.2.4.2. Africa
        • 5.2.2.5. North America
          • 5.2.2.5.1. United States
          • 5.2.2.5.2. Canada
          • 5.2.2.5.3. Mexico
  • 6. Adaptive Learning Software: 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 (2018)
    • 6.3. BCG Matrix
    • 6.4. Company Profile
      • 6.4.1. McGraw-Hill Education (United States)
        • 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. Dreambox Learning, Inc. (United States)
        • 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. SMART SPARROW PTY LTD. (Australia)
        • 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. D2L Corporation, Knewton (Canada)
        • 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. New Leaf Technologies (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. Realizeit (Ireland)
        • 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. Fishtree (Ireland)
        • 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. Scootpad (United States)
        • 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. Kidaptive. (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
  • 7. Global Adaptive Learning Software Sale, by Application, End user , Deployment and Region (value) (2019-2024)
    • 7.1. Introduction
    • 7.2. Global Adaptive Learning Software (Value)
      • 7.2.1. Global Adaptive Learning Software by: Application (Value)
        • 7.2.1.1. Student Collaboration
        • 7.2.1.2. Analytics and Insight
        • 7.2.1.3. E-Learning Authoring
        • 7.2.1.4. Integrated Learning Management System
        • 7.2.1.5. Others
      • 7.2.2. Global Adaptive Learning Software Region
        • 7.2.2.1. South America
          • 7.2.2.1.1. Brazil
          • 7.2.2.1.2. Argentina
          • 7.2.2.1.3. Rest of South America
        • 7.2.2.2. Asia Pacific
          • 7.2.2.2.1. China
          • 7.2.2.2.2. Japan
          • 7.2.2.2.3. India
          • 7.2.2.2.4. South Korea
          • 7.2.2.2.5. Taiwan
          • 7.2.2.2.6. Australia
          • 7.2.2.2.7. Rest of Asia-Pacific
        • 7.2.2.3. Europe
          • 7.2.2.3.1. Germany
          • 7.2.2.3.2. France
          • 7.2.2.3.3. Italy
          • 7.2.2.3.4. United Kingdom
          • 7.2.2.3.5. Netherlands
          • 7.2.2.3.6. Rest of Europe
        • 7.2.2.4. MEA
          • 7.2.2.4.1. Middle East
          • 7.2.2.4.2. Africa
        • 7.2.2.5. North America
          • 7.2.2.5.1. United States
          • 7.2.2.5.2. Canada
          • 7.2.2.5.3. 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. Adaptive Learning Software: by Application(USD Million)
  • Table 2. Adaptive Learning Software Student Collaboration , by Region USD Million (2013-2018)
  • Table 3. Adaptive Learning Software Analytics and Insight , by Region USD Million (2013-2018)
  • Table 4. Adaptive Learning Software E-Learning Authoring , by Region USD Million (2013-2018)
  • Table 5. Adaptive Learning Software Integrated Learning Management System , by Region USD Million (2013-2018)
  • Table 6. Adaptive Learning Software Others , by Region USD Million (2013-2018)
  • Table 7. South America Adaptive Learning Software, by Country USD Million (2013-2018)
  • Table 8. South America Adaptive Learning Software, by Application USD Million (2013-2018)
  • Table 9. South America Adaptive Learning Software, by End user USD Million (2013-2018)
  • Table 10. South America Adaptive Learning Software, by Deployment USD Million (2013-2018)
  • Table 11. Brazil Adaptive Learning Software, by Application USD Million (2013-2018)
  • Table 12. Brazil Adaptive Learning Software, by End user USD Million (2013-2018)
  • Table 13. Brazil Adaptive Learning Software, by Deployment USD Million (2013-2018)
  • Table 14. Argentina Adaptive Learning Software, by Application USD Million (2013-2018)
  • Table 15. Argentina Adaptive Learning Software, by End user USD Million (2013-2018)
  • Table 16. Argentina Adaptive Learning Software, by Deployment USD Million (2013-2018)
  • Table 17. Rest of South America Adaptive Learning Software, by Application USD Million (2013-2018)
  • Table 18. Rest of South America Adaptive Learning Software, by End user USD Million (2013-2018)
  • Table 19. Rest of South America Adaptive Learning Software, by Deployment USD Million (2013-2018)
  • Table 20. Asia Pacific Adaptive Learning Software, by Country USD Million (2013-2018)
  • Table 21. Asia Pacific Adaptive Learning Software, by Application USD Million (2013-2018)
  • Table 22. Asia Pacific Adaptive Learning Software, by End user USD Million (2013-2018)
  • Table 23. Asia Pacific Adaptive Learning Software, by Deployment USD Million (2013-2018)
  • Table 24. China Adaptive Learning Software, by Application USD Million (2013-2018)
  • Table 25. China Adaptive Learning Software, by End user USD Million (2013-2018)
  • Table 26. China Adaptive Learning Software, by Deployment USD Million (2013-2018)
  • Table 27. Japan Adaptive Learning Software, by Application USD Million (2013-2018)
  • Table 28. Japan Adaptive Learning Software, by End user USD Million (2013-2018)
  • Table 29. Japan Adaptive Learning Software, by Deployment USD Million (2013-2018)
  • Table 30. India Adaptive Learning Software, by Application USD Million (2013-2018)
  • Table 31. India Adaptive Learning Software, by End user USD Million (2013-2018)
  • Table 32. India Adaptive Learning Software, by Deployment USD Million (2013-2018)
  • Table 33. South Korea Adaptive Learning Software, by Application USD Million (2013-2018)
  • Table 34. South Korea Adaptive Learning Software, by End user USD Million (2013-2018)
  • Table 35. South Korea Adaptive Learning Software, by Deployment USD Million (2013-2018)
  • Table 36. Taiwan Adaptive Learning Software, by Application USD Million (2013-2018)
  • Table 37. Taiwan Adaptive Learning Software, by End user USD Million (2013-2018)
  • Table 38. Taiwan Adaptive Learning Software, by Deployment USD Million (2013-2018)
  • Table 39. Australia Adaptive Learning Software, by Application USD Million (2013-2018)
  • Table 40. Australia Adaptive Learning Software, by End user USD Million (2013-2018)
  • Table 41. Australia Adaptive Learning Software, by Deployment USD Million (2013-2018)
  • Table 42. Rest of Asia-Pacific Adaptive Learning Software, by Application USD Million (2013-2018)
  • Table 43. Rest of Asia-Pacific Adaptive Learning Software, by End user USD Million (2013-2018)
  • Table 44. Rest of Asia-Pacific Adaptive Learning Software, by Deployment USD Million (2013-2018)
  • Table 45. Europe Adaptive Learning Software, by Country USD Million (2013-2018)
  • Table 46. Europe Adaptive Learning Software, by Application USD Million (2013-2018)
  • Table 47. Europe Adaptive Learning Software, by End user USD Million (2013-2018)
  • Table 48. Europe Adaptive Learning Software, by Deployment USD Million (2013-2018)
  • Table 49. Germany Adaptive Learning Software, by Application USD Million (2013-2018)
  • Table 50. Germany Adaptive Learning Software, by End user USD Million (2013-2018)
  • Table 51. Germany Adaptive Learning Software, by Deployment USD Million (2013-2018)
  • Table 52. France Adaptive Learning Software, by Application USD Million (2013-2018)
  • Table 53. France Adaptive Learning Software, by End user USD Million (2013-2018)
  • Table 54. France Adaptive Learning Software, by Deployment USD Million (2013-2018)
  • Table 55. Italy Adaptive Learning Software, by Application USD Million (2013-2018)
  • Table 56. Italy Adaptive Learning Software, by End user USD Million (2013-2018)
  • Table 57. Italy Adaptive Learning Software, by Deployment USD Million (2013-2018)
  • Table 58. United Kingdom Adaptive Learning Software, by Application USD Million (2013-2018)
  • Table 59. United Kingdom Adaptive Learning Software, by End user USD Million (2013-2018)
  • Table 60. United Kingdom Adaptive Learning Software, by Deployment USD Million (2013-2018)
  • Table 61. Netherlands Adaptive Learning Software, by Application USD Million (2013-2018)
  • Table 62. Netherlands Adaptive Learning Software, by End user USD Million (2013-2018)
  • Table 63. Netherlands Adaptive Learning Software, by Deployment USD Million (2013-2018)
  • Table 64. Rest of Europe Adaptive Learning Software, by Application USD Million (2013-2018)
  • Table 65. Rest of Europe Adaptive Learning Software, by End user USD Million (2013-2018)
  • Table 66. Rest of Europe Adaptive Learning Software, by Deployment USD Million (2013-2018)
  • Table 67. MEA Adaptive Learning Software, by Country USD Million (2013-2018)
  • Table 68. MEA Adaptive Learning Software, by Application USD Million (2013-2018)
  • Table 69. MEA Adaptive Learning Software, by End user USD Million (2013-2018)
  • Table 70. MEA Adaptive Learning Software, by Deployment USD Million (2013-2018)
  • Table 71. Middle East Adaptive Learning Software, by Application USD Million (2013-2018)
  • Table 72. Middle East Adaptive Learning Software, by End user USD Million (2013-2018)
  • Table 73. Middle East Adaptive Learning Software, by Deployment USD Million (2013-2018)
  • Table 74. Africa Adaptive Learning Software, by Application USD Million (2013-2018)
  • Table 75. Africa Adaptive Learning Software, by End user USD Million (2013-2018)
  • Table 76. Africa Adaptive Learning Software, by Deployment USD Million (2013-2018)
  • Table 77. North America Adaptive Learning Software, by Country USD Million (2013-2018)
  • Table 78. North America Adaptive Learning Software, by Application USD Million (2013-2018)
  • Table 79. North America Adaptive Learning Software, by End user USD Million (2013-2018)
  • Table 80. North America Adaptive Learning Software, by Deployment USD Million (2013-2018)
  • Table 81. United States Adaptive Learning Software, by Application USD Million (2013-2018)
  • Table 82. United States Adaptive Learning Software, by End user USD Million (2013-2018)
  • Table 83. United States Adaptive Learning Software, by Deployment USD Million (2013-2018)
  • Table 84. Canada Adaptive Learning Software, by Application USD Million (2013-2018)
  • Table 85. Canada Adaptive Learning Software, by End user USD Million (2013-2018)
  • Table 86. Canada Adaptive Learning Software, by Deployment USD Million (2013-2018)
  • Table 87. Mexico Adaptive Learning Software, by Application USD Million (2013-2018)
  • Table 88. Mexico Adaptive Learning Software, by End user USD Million (2013-2018)
  • Table 89. Mexico Adaptive Learning Software, by Deployment USD Million (2013-2018)
  • 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. Adaptive Learning Software: by Application(USD Million)
  • Table 100. Adaptive Learning Software Student Collaboration , by Region USD Million (2019-2024)
  • Table 101. Adaptive Learning Software Analytics and Insight , by Region USD Million (2019-2024)
  • Table 102. Adaptive Learning Software E-Learning Authoring , by Region USD Million (2019-2024)
  • Table 103. Adaptive Learning Software Integrated Learning Management System , by Region USD Million (2019-2024)
  • Table 104. Adaptive Learning Software Others , by Region USD Million (2019-2024)
  • Table 105. South America Adaptive Learning Software, by Country USD Million (2019-2024)
  • Table 106. South America Adaptive Learning Software, by Application USD Million (2019-2024)
  • Table 107. South America Adaptive Learning Software, by End user USD Million (2019-2024)
  • Table 108. South America Adaptive Learning Software, by Deployment USD Million (2019-2024)
  • Table 109. Brazil Adaptive Learning Software, by Application USD Million (2019-2024)
  • Table 110. Brazil Adaptive Learning Software, by End user USD Million (2019-2024)
  • Table 111. Brazil Adaptive Learning Software, by Deployment USD Million (2019-2024)
  • Table 112. Argentina Adaptive Learning Software, by Application USD Million (2019-2024)
  • Table 113. Argentina Adaptive Learning Software, by End user USD Million (2019-2024)
  • Table 114. Argentina Adaptive Learning Software, by Deployment USD Million (2019-2024)
  • Table 115. Rest of South America Adaptive Learning Software, by Application USD Million (2019-2024)
  • Table 116. Rest of South America Adaptive Learning Software, by End user USD Million (2019-2024)
  • Table 117. Rest of South America Adaptive Learning Software, by Deployment USD Million (2019-2024)
  • Table 118. Asia Pacific Adaptive Learning Software, by Country USD Million (2019-2024)
  • Table 119. Asia Pacific Adaptive Learning Software, by Application USD Million (2019-2024)
  • Table 120. Asia Pacific Adaptive Learning Software, by End user USD Million (2019-2024)
  • Table 121. Asia Pacific Adaptive Learning Software, by Deployment USD Million (2019-2024)
  • Table 122. China Adaptive Learning Software, by Application USD Million (2019-2024)
  • Table 123. China Adaptive Learning Software, by End user USD Million (2019-2024)
  • Table 124. China Adaptive Learning Software, by Deployment USD Million (2019-2024)
  • Table 125. Japan Adaptive Learning Software, by Application USD Million (2019-2024)
  • Table 126. Japan Adaptive Learning Software, by End user USD Million (2019-2024)
  • Table 127. Japan Adaptive Learning Software, by Deployment USD Million (2019-2024)
  • Table 128. India Adaptive Learning Software, by Application USD Million (2019-2024)
  • Table 129. India Adaptive Learning Software, by End user USD Million (2019-2024)
  • Table 130. India Adaptive Learning Software, by Deployment USD Million (2019-2024)
  • Table 131. South Korea Adaptive Learning Software, by Application USD Million (2019-2024)
  • Table 132. South Korea Adaptive Learning Software, by End user USD Million (2019-2024)
  • Table 133. South Korea Adaptive Learning Software, by Deployment USD Million (2019-2024)
  • Table 134. Taiwan Adaptive Learning Software, by Application USD Million (2019-2024)
  • Table 135. Taiwan Adaptive Learning Software, by End user USD Million (2019-2024)
  • Table 136. Taiwan Adaptive Learning Software, by Deployment USD Million (2019-2024)
  • Table 137. Australia Adaptive Learning Software, by Application USD Million (2019-2024)
  • Table 138. Australia Adaptive Learning Software, by End user USD Million (2019-2024)
  • Table 139. Australia Adaptive Learning Software, by Deployment USD Million (2019-2024)
  • Table 140. Rest of Asia-Pacific Adaptive Learning Software, by Application USD Million (2019-2024)
  • Table 141. Rest of Asia-Pacific Adaptive Learning Software, by End user USD Million (2019-2024)
  • Table 142. Rest of Asia-Pacific Adaptive Learning Software, by Deployment USD Million (2019-2024)
  • Table 143. Europe Adaptive Learning Software, by Country USD Million (2019-2024)
  • Table 144. Europe Adaptive Learning Software, by Application USD Million (2019-2024)
  • Table 145. Europe Adaptive Learning Software, by End user USD Million (2019-2024)
  • Table 146. Europe Adaptive Learning Software, by Deployment USD Million (2019-2024)
  • Table 147. Germany Adaptive Learning Software, by Application USD Million (2019-2024)
  • Table 148. Germany Adaptive Learning Software, by End user USD Million (2019-2024)
  • Table 149. Germany Adaptive Learning Software, by Deployment USD Million (2019-2024)
  • Table 150. France Adaptive Learning Software, by Application USD Million (2019-2024)
  • Table 151. France Adaptive Learning Software, by End user USD Million (2019-2024)
  • Table 152. France Adaptive Learning Software, by Deployment USD Million (2019-2024)
  • Table 153. Italy Adaptive Learning Software, by Application USD Million (2019-2024)
  • Table 154. Italy Adaptive Learning Software, by End user USD Million (2019-2024)
  • Table 155. Italy Adaptive Learning Software, by Deployment USD Million (2019-2024)
  • Table 156. United Kingdom Adaptive Learning Software, by Application USD Million (2019-2024)
  • Table 157. United Kingdom Adaptive Learning Software, by End user USD Million (2019-2024)
  • Table 158. United Kingdom Adaptive Learning Software, by Deployment USD Million (2019-2024)
  • Table 159. Netherlands Adaptive Learning Software, by Application USD Million (2019-2024)
  • Table 160. Netherlands Adaptive Learning Software, by End user USD Million (2019-2024)
  • Table 161. Netherlands Adaptive Learning Software, by Deployment USD Million (2019-2024)
  • Table 162. Rest of Europe Adaptive Learning Software, by Application USD Million (2019-2024)
  • Table 163. Rest of Europe Adaptive Learning Software, by End user USD Million (2019-2024)
  • Table 164. Rest of Europe Adaptive Learning Software, by Deployment USD Million (2019-2024)
  • Table 165. MEA Adaptive Learning Software, by Country USD Million (2019-2024)
  • Table 166. MEA Adaptive Learning Software, by Application USD Million (2019-2024)
  • Table 167. MEA Adaptive Learning Software, by End user USD Million (2019-2024)
  • Table 168. MEA Adaptive Learning Software, by Deployment USD Million (2019-2024)
  • Table 169. Middle East Adaptive Learning Software, by Application USD Million (2019-2024)
  • Table 170. Middle East Adaptive Learning Software, by End user USD Million (2019-2024)
  • Table 171. Middle East Adaptive Learning Software, by Deployment USD Million (2019-2024)
  • Table 172. Africa Adaptive Learning Software, by Application USD Million (2019-2024)
  • Table 173. Africa Adaptive Learning Software, by End user USD Million (2019-2024)
  • Table 174. Africa Adaptive Learning Software, by Deployment USD Million (2019-2024)
  • Table 175. North America Adaptive Learning Software, by Country USD Million (2019-2024)
  • Table 176. North America Adaptive Learning Software, by Application USD Million (2019-2024)
  • Table 177. North America Adaptive Learning Software, by End user USD Million (2019-2024)
  • Table 178. North America Adaptive Learning Software, by Deployment USD Million (2019-2024)
  • Table 179. United States Adaptive Learning Software, by Application USD Million (2019-2024)
  • Table 180. United States Adaptive Learning Software, by End user USD Million (2019-2024)
  • Table 181. United States Adaptive Learning Software, by Deployment USD Million (2019-2024)
  • Table 182. Canada Adaptive Learning Software, by Application USD Million (2019-2024)
  • Table 183. Canada Adaptive Learning Software, by End user USD Million (2019-2024)
  • Table 184. Canada Adaptive Learning Software, by Deployment USD Million (2019-2024)
  • Table 185. Mexico Adaptive Learning Software, by Application USD Million (2019-2024)
  • Table 186. Mexico Adaptive Learning Software, by End user USD Million (2019-2024)
  • Table 187. Mexico Adaptive Learning Software, by Deployment USD Million (2019-2024)
  • Table 188. Research Programs/Design for This Report
  • Table 189. Key Data Information from Secondary Sources
  • Table 190. 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 Adaptive Learning Software: by Application USD Million (2013-2018)
  • Figure 5. South America Adaptive Learning Software Share (%), by Country
  • Figure 6. Asia Pacific Adaptive Learning Software Share (%), by Country
  • Figure 7. Europe Adaptive Learning Software Share (%), by Country
  • Figure 8. MEA Adaptive Learning Software Share (%), by Country
  • Figure 9. North America Adaptive Learning Software Share (%), by Country
  • Figure 10. Global Adaptive Learning Software share by Players 2018 (%)
  • Figure 11. Global Adaptive Learning Software share by Players (Top 3) 2018(%)
  • Figure 12. Global Adaptive Learning Software share by Players (Top 5) 2018(%)
  • Figure 13. BCG Matrix for key Companies
  • Figure 14. McGraw-Hill Education (United States) Revenue, Net Income and Gross profit
  • Figure 15. McGraw-Hill Education (United States) Revenue: by Geography 2018
  • Figure 16. Dreambox Learning, Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 17. Dreambox Learning, Inc. (United States) Revenue: by Geography 2018
  • Figure 18. SMART SPARROW PTY LTD. (Australia) Revenue, Net Income and Gross profit
  • Figure 19. SMART SPARROW PTY LTD. (Australia) Revenue: by Geography 2018
  • Figure 20. D2L Corporation, Knewton (Canada) Revenue, Net Income and Gross profit
  • Figure 21. D2L Corporation, Knewton (Canada) Revenue: by Geography 2018
  • Figure 22. New Leaf Technologies (United States) Revenue, Net Income and Gross profit
  • Figure 23. New Leaf Technologies (United States) Revenue: by Geography 2018
  • Figure 24. Realizeit (Ireland) Revenue, Net Income and Gross profit
  • Figure 25. Realizeit (Ireland) Revenue: by Geography 2018
  • Figure 26. Fishtree (Ireland) Revenue, Net Income and Gross profit
  • Figure 27. Fishtree (Ireland) Revenue: by Geography 2018
  • Figure 28. Scootpad (United States) Revenue, Net Income and Gross profit
  • Figure 29. Scootpad (United States) Revenue: by Geography 2018
  • Figure 30. Kidaptive. (United States) Revenue, Net Income and Gross profit
  • Figure 31. Kidaptive. (United States) Revenue: by Geography 2018
  • Figure 32. Global Adaptive Learning Software: by Application USD Million (2019-2024)
  • Figure 33. South America Adaptive Learning Software Share (%), by Country
  • Figure 34. Asia Pacific Adaptive Learning Software Share (%), by Country
  • Figure 35. Europe Adaptive Learning Software Share (%), by Country
  • Figure 36. MEA Adaptive Learning Software Share (%), by Country
  • Figure 37. North America Adaptive Learning Software Share (%), by Country
Some of the key companies/manufacturers profiled in the report
  • McGraw-Hill Education (United States)
  • Dreambox Learning, Inc. (United States)
  • SMART SPARROW PTY LTD. (Australia)
  • D2L Corporation, Knewton (Canada)
  • New Leaf Technologies (United States)
  • Realizeit (Ireland)
  • Fishtree (Ireland)
  • Scootpad (United States)
  • Kidaptive. (United States)
Additional players considered in the study are as follows:
Knewton (United States) , EdSurge (United States) , Docebo (United States)
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