
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.
The global Machine Learning in Education market is projected to reach US$ million in 2029, increasing from US$ million in 2022, with the CAGR of % during the period of 2023 to 2029. Influencing issues, such as economy environments, COVID-19 and Russia-Ukraine War, have led to great market fluctuations in the past few years and are considered comprehensively in the whole Machine Learning in Education 91ÖÆÆ¬³§.
Key companies engaged in the Machine Learning in Education industry include IBM, Microsoft, Google, Amazon, Cognizan, Pearson, Bridge-U, DreamBox Learning and Fishtree, etc. Among those companies, the top 3 players guaranteed % supply worldwide in 2022.
When refers to consumption region, % value of Machine Learning in Education were sold to North America, Europe and Asia Pacific in 2022. Moreover, China, plays a key role in the whole Machine Learning in Education market and estimated to attract more attentions from industry insiders and investors.
Report Scope
This report, based on historical analysis (2018-2022) and forecast calculation (2023-2029), aims to help readers to get a comprehensive understanding of global Machine Learning in Education market with multiple angles, which provides sufficient supports to readers’ strategy and decision making.
By Company
IBM
Microsoft
Google
Amazon
Cognizan
Pearson
Bridge-U
DreamBox Learning
Fishtree
Jellynote
Quantum Adaptive Learning
Segment by Type
Cloud-Based
On-Premise
Segment by Application
Intelligent Tutoring Systems
Virtual Facilitators
Content Delivery Systems
Interactive Websites
Others
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
The Machine Learning in Education report covers below items:
Chapter 1: Product Basic Information (Definition, Type and Application)
Chapter 2: Global market size, regional market size. Market Opportunities and Challenges
Chapter 3: Companies’ Competition Patterns
Chapter 4: Product Type Analysis
Chapter 5: Product Application Analysis
Chapter 6 to 10: Country Level Value Analysis
Chapter 11: Companies’ Outline
Chapter 12: Market Conclusions
Chapter 13: Research Methodology and Data Source
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1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Machine Learning in Education Market Size Growth Rate by Type: 2018 VS 2022 VS 2029
1.2.2 Cloud-Based
1.2.3 On-Premise
1.3 Market by Application
1.3.1 Global Machine Learning in Education Market Growth by Application: 2018 VS 2022 VS 2029
1.3.2 Intelligent Tutoring Systems
1.3.3 Virtual Facilitators
1.3.4 Content Delivery Systems
1.3.5 Interactive Websites
1.3.6 Others
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Machine Learning in Education Market Perspective (2018-2029)
2.2 Machine Learning in Education Growth Trends by Region
2.2.1 Global Machine Learning in Education Market Size by Region: 2018 VS 2022 VS 2029
2.2.2 Machine Learning in Education Historic Market Size by Region (2018-2023)
2.2.3 Machine Learning in Education Forecasted Market Size by Region (2024-2029)
2.3 Machine Learning in Education Market Dynamics
2.3.1 Machine Learning in Education Industry Trends
2.3.2 Machine Learning in Education Market Drivers
2.3.3 Machine Learning in Education Market Challenges
2.3.4 Machine Learning in Education Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Machine Learning in Education Players by Revenue
3.1.1 Global Top Machine Learning in Education Players by Revenue (2018-2023)
3.1.2 Global Machine Learning in Education Revenue Market Share by Players (2018-2023)
3.2 Global Machine Learning in Education Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Machine Learning in Education Revenue
3.4 Global Machine Learning in Education Market Concentration Ratio
3.4.1 Global Machine Learning in Education Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Machine Learning in Education Revenue in 2022
3.5 Machine Learning in Education Key Players Head office and Area Served
3.6 Key Players Machine Learning in Education Product Solution and Service
3.7 Date of Enter into Machine Learning in Education Market
3.8 Mergers & Acquisitions, Expansion Plans
4 Machine Learning in Education Breakdown Data by Type
4.1 Global Machine Learning in Education Historic Market Size by Type (2018-2023)
4.2 Global Machine Learning in Education Forecasted Market Size by Type (2024-2029)
5 Machine Learning in Education Breakdown Data by Application
5.1 Global Machine Learning in Education Historic Market Size by Application (2018-2023)
5.2 Global Machine Learning in Education Forecasted Market Size by Application (2024-2029)
6 North America
6.1 North America Machine Learning in Education Market Size (2018-2029)
6.2 North America Machine Learning in Education Market Growth Rate by Country: 2018 VS 2022 VS 2029
6.3 North America Machine Learning in Education Market Size by Country (2018-2023)
6.4 North America Machine Learning in Education Market Size by Country (2024-2029)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Machine Learning in Education Market Size (2018-2029)
7.2 Europe Machine Learning in Education Market Growth Rate by Country: 2018 VS 2022 VS 2029
7.3 Europe Machine Learning in Education Market Size by Country (2018-2023)
7.4 Europe Machine Learning in Education Market Size by Country (2024-2029)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific Machine Learning in Education Market Size (2018-2029)
8.2 Asia-Pacific Machine Learning in Education Market Growth Rate by Region: 2018 VS 2022 VS 2029
8.3 Asia-Pacific Machine Learning in Education Market Size by Region (2018-2023)
8.4 Asia-Pacific Machine Learning in Education Market Size by Region (2024-2029)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America Machine Learning in Education Market Size (2018-2029)
9.2 Latin America Machine Learning in Education Market Growth Rate by Country: 2018 VS 2022 VS 2029
9.3 Latin America Machine Learning in Education Market Size by Country (2018-2023)
9.4 Latin America Machine Learning in Education Market Size by Country (2024-2029)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Machine Learning in Education Market Size (2018-2029)
10.2 Middle East & Africa Machine Learning in Education Market Growth Rate by Country: 2018 VS 2022 VS 2029
10.3 Middle East & Africa Machine Learning in Education Market Size by Country (2018-2023)
10.4 Middle East & Africa Machine Learning in Education Market Size by Country (2024-2029)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 IBM
11.1.1 IBM Company Detail
11.1.2 IBM Business Overview
11.1.3 IBM Machine Learning in Education Introduction
11.1.4 IBM Revenue in Machine Learning in Education Business (2018-2023)
11.1.5 IBM Recent Development
11.2 Microsoft
11.2.1 Microsoft Company Detail
11.2.2 Microsoft Business Overview
11.2.3 Microsoft Machine Learning in Education Introduction
11.2.4 Microsoft Revenue in Machine Learning in Education Business (2018-2023)
11.2.5 Microsoft Recent Development
11.3 Google
11.3.1 Google Company Detail
11.3.2 Google Business Overview
11.3.3 Google Machine Learning in Education Introduction
11.3.4 Google Revenue in Machine Learning in Education Business (2018-2023)
11.3.5 Google Recent Development
11.4 Amazon
11.4.1 Amazon Company Detail
11.4.2 Amazon Business Overview
11.4.3 Amazon Machine Learning in Education Introduction
11.4.4 Amazon Revenue in Machine Learning in Education Business (2018-2023)
11.4.5 Amazon Recent Development
11.5 Cognizan
11.5.1 Cognizan Company Detail
11.5.2 Cognizan Business Overview
11.5.3 Cognizan Machine Learning in Education Introduction
11.5.4 Cognizan Revenue in Machine Learning in Education Business (2018-2023)
11.5.5 Cognizan Recent Development
11.6 Pearson
11.6.1 Pearson Company Detail
11.6.2 Pearson Business Overview
11.6.3 Pearson Machine Learning in Education Introduction
11.6.4 Pearson Revenue in Machine Learning in Education Business (2018-2023)
11.6.5 Pearson Recent Development
11.7 Bridge-U
11.7.1 Bridge-U Company Detail
11.7.2 Bridge-U Business Overview
11.7.3 Bridge-U Machine Learning in Education Introduction
11.7.4 Bridge-U Revenue in Machine Learning in Education Business (2018-2023)
11.7.5 Bridge-U Recent Development
11.8 DreamBox Learning
11.8.1 DreamBox Learning Company Detail
11.8.2 DreamBox Learning Business Overview
11.8.3 DreamBox Learning Machine Learning in Education Introduction
11.8.4 DreamBox Learning Revenue in Machine Learning in Education Business (2018-2023)
11.8.5 DreamBox Learning Recent Development
11.9 Fishtree
11.9.1 Fishtree Company Detail
11.9.2 Fishtree Business Overview
11.9.3 Fishtree Machine Learning in Education Introduction
11.9.4 Fishtree Revenue in Machine Learning in Education Business (2018-2023)
11.9.5 Fishtree Recent Development
11.10 Jellynote
11.10.1 Jellynote Company Detail
11.10.2 Jellynote Business Overview
11.10.3 Jellynote Machine Learning in Education Introduction
11.10.4 Jellynote Revenue in Machine Learning in Education Business (2018-2023)
11.10.5 Jellynote Recent Development
11.11 Quantum Adaptive Learning
11.11.1 Quantum Adaptive Learning Company Detail
11.11.2 Quantum Adaptive Learning Business Overview
11.11.3 Quantum Adaptive Learning Machine Learning in Education Introduction
11.11.4 Quantum Adaptive Learning Revenue in Machine Learning in Education Business (2018-2023)
11.11.5 Quantum Adaptive Learning Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Disclaimer
13.3 Author Details
IBM
Microsoft
Google
Amazon
Cognizan
Pearson
Bridge-U
DreamBox Learning
Fishtree
Jellynote
Quantum Adaptive Learning
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*If Applicable.
