Report overview
This report studies the Machine Learning in Education market, covering market size for segment by type (Deep Learning and Machine Learning, Natural Language Processing (NLP), etc.), by application (Intelligent Tutoring Systems, Virtual Facilitators, etc.), by sales channel (Direct Channel, Distribution Channel), by player (IBM, Microsoft, Google, AWS, Cognizant, etc.) and by region (North America, Europe, Asia-Pacific, South America and Middle East & Africa).
This report provides detailed historical analysis of global market for Machine Learning in Education from 2017-2022, and provides extensive market forecasts from 2023-2031 by region/country and subsectors. It covers the sales/revenue/value, gross margin, historical growth and future perspectives in the Machine Learning in Education market.
The research methodology used to estimate and forecast this market begins by capturing the revenues of the key players and their shares in the market. Various secondary sources such as press releases, annual reports, non-profit organizations, industry associations, governmental agencies and customs data, have been used to identify and collect information useful for this extensive commercial study of the market. Calculations based on this led to the overall market size. After arriving at the overall market size, the total market has been split into several segments and subsegments, which have then been verified through primary research by conducting extensive interviews with industry experts such as CEOs, VPs, directors, and executives. The data triangulation and market breakdown procedures have been employed to complete the overall market engineering process and arrive at the exact statistics for all segments and subsegments.
Leading players of Machine Learning in Education including:
IBM
Microsoft
Google
AWS
Cognizant
Pearson
Bridge-U
DreamBox Learning
Fishtree
Jellynote
Quantum Adaptive Learning
Nuance Communications
OSMO
Querium
Third Space Learning
Aleks
Blackboard
Carnegie Learning
Century
Cognii
Elemental Path
Jenzabar
Knewton
Luilishuo
Metacog
Market split by Type, can be divided into:
Deep Learning and Machine Learning
Natural Language Processing (NLP)
Market split by Application, can be divided into:
Intelligent Tutoring Systems
Virtual Facilitators
Content Delivery Systems
Interactive Websites
Others
Market split by Sales Channel, can be divided into:
Direct Channel
Distribution Channel
Market segment by Region/Country including:
North America (United States, Canada and Mexico)
Europe (Germany, UK, France, Italy, Russia and Spain etc.)
Asia-Pacific (China, Japan, Korea, India, Australia and Southeast Asia etc.)
South America (Brazil, Argentina and Colombia etc.)
Middle East & Africa (South Africa, UAE and Saudi Arabia etc.)
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