Summary
WiseGuyReports.com adds “Machine Learning in Education Market 2019 Global Analysis, Growth, Trends and Opportunities Research Report Forecasting to 2024” reports to its database.
Machine learning has the potential to support aspects of teaching and learning that are currently time consuming and difficult to manage, such as individual project work, collaboration, tutorials and self-directed learning.
In 2018, the global Machine Learning in Education market size was xx million US$ and it is expected to reach xx million US$ by the end of 2025, with a CAGR of xx% during 2019-2025.
This report focuses on the global Machine Learning in Education status, future forecast, growth opportunity, key market and key players. The study objectives are to present the Machine Learning in Education development in United States, Europe and China.
The key players covered in this study
IBM
Microsoft
Google
Amazon
Cognizan
Pearson
Bridge-U
DreamBox Learning
Fishtree
Jellynote
Quantum Adaptive Learning
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Market segment by Type, the product can be split into
Cloud-Based
On-Premise
Market segment by Application, split into
Intelligent Tutoring Systems
Virtual Facilitators
Content Delivery Systems
Interactive Websites
Others
Market segment by Regions/Countries, this report covers
United States
Europe
China
Japan
Southeast Asia
India
Central & South America
The study objectives of this report are:
To analyze global Machine Learning in Education status, future forecast, growth opportunity, key market and key players.
To present the Machine Learning in Education development in United States, Europe and China.
To strategically profile the key players and comprehensively analyze their development plan and strategies.
To define, describe and forecast the market by product type, market and key regions.
In this study, the years considered to estimate the market size of Machine Learning in Education are as follows:
History Year: 2014-2018
Base Year: 2018
Estimated Year: 2019
Forecast Year 2019 to 2025
For the data information by region, company, type and application, 2018 is considered as the base year. Whenever data information was unavailable for the base year, the prior year has been considered.
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Major Key Points in Table of Content
1 Report Overview
1.1 Study Scope
1.2 Key Market Segments
1.3 Players Covered
1.4 Market Analysis by Type
1.4.1 Global Machine Learning in Education Market Size Growth Rate by Type (2014-2025)
1.4.2 Cloud-Based
1.4.3 On-Premise
1.5 Market by Application
1.5.1 Global Machine Learning in Education Market Share by Application (2014-2025)
1.5.2 Intelligent Tutoring Systems
1.5.3 Virtual Facilitators
1.5.4 Content Delivery Systems
1.5.5 Interactive Websites
1.5.6 Others
1.6 Study Objectives
1.7 Years Considered
2 Global Growth Trends
2.1 Machine Learning in Education Market Size
2.2 Machine Learning in Education Growth Trends by Regions
2.2.1 Machine Learning in Education Market Size by Regions (2014-2025)
2.2.2 Machine Learning in Education Market Share by Regions (2014-2019)
2.3 Industry Trends
2.3.1 Market Top Trends
2.3.2 Market Drivers
2.3.3 Market Opportunities
…..
12 International Players Profiles
12.1 IBM
12.1.1 IBM Company Details
12.1.2 Company Description and Business Overview
12.1.3 Machine Learning in Education Introduction
12.1.4 IBM Revenue in Machine Learning in Education Business (2014-2019)
12.1.5 IBM Recent Development
12.2 Microsoft
12.2.1 Microsoft Company Details
12.2.2 Company Description and Business Overview
12.2.3 Machine Learning in Education Introduction
12.2.4 Microsoft Revenue in Machine Learning in Education Business (2014-2019)
12.2.5 Microsoft Recent Development
12.3 Google
12.3.1 Google Company Details
12.3.2 Company Description and Business Overview
12.3.3 Machine Learning in Education Introduction
12.3.4 Google Revenue in Machine Learning in Education Business (2014-2019)
12.3.5 Google Recent Development
12.4 Amazon
12.4.1 Amazon Company Details
12.4.2 Company Description and Business Overview
12.4.3 Machine Learning in Education Introduction
12.4.4 Amazon Revenue in Machine Learning in Education Business (2014-2019)
12.4.5 Amazon Recent Development
12.5 Cognizan
12.5.1 Cognizan Company Details
12.5.2 Company Description and Business Overview
12.5.3 Machine Learning in Education Introduction
12.5.4 Cognizan Revenue in Machine Learning in Education Business (2014-2019)
12.5.5 Cognizan Recent Development
12.6 Pearson
12.6.1 Pearson Company Details
12.6.2 Company Description and Business Overview
12.6.3 Machine Learning in Education Introduction
12.6.4 Pearson Revenue in Machine Learning in Education Business (2014-2019)
12.6.5 Pearson Recent Development
12.7 Bridge-U
12.7.1 Bridge-U Company Details
12.7.2 Company Description and Business Overview
12.7.3 Machine Learning in Education Introduction
12.7.4 Bridge-U Revenue in Machine Learning in Education Business (2014-2019)
12.7.5 Bridge-U Recent Development
12.8 DreamBox Learning
12.8.1 DreamBox Learning Company Details
12.8.2 Company Description and Business Overview
12.8.3 Machine Learning in Education Introduction
12.8.4 DreamBox Learning Revenue in Machine Learning in Education Business (2014-2019)
12.8.5 DreamBox Learning Recent Development
12.9 Fishtree
12.9.1 Fishtree Company Details
12.9.2 Company Description and Business Overview
12.9.3 Machine Learning in Education Introduction
12.9.4 Fishtree Revenue in Machine Learning in Education Business (2014-2019)
12.9.5 Fishtree Recent Development
12.10 Jellynote
12.10.1 Jellynote Company Details
12.10.2 Company Description and Business Overview
12.10.3 Machine Learning in Education Introduction
12.10.4 Jellynote Revenue in Machine Learning in Education Business (2014-2019)
12.10.5 Jellynote Recent Development
12.11 Quantum Adaptive Learning
Continued….
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