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Global Machine Learning in Education Market Growth (Status and Outlook) 2019-2024

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Table of Contents

    2019-2024 Global Machine Learning in Education Market Report (Status and Outlook)

      1 Scope of the Report

      • 1.1 Market Introduction
      • 1.2 Research Objectives
      • 1.3 Years Considered
      • 1.4 Market Research Methodology
      • 1.5 Economic Indicators
      • 1.6 Currency Considered

      2 Executive Summary

      • 2.1 World Market Overview
        • 2.1.1 Global Machine Learning in Education Market Size 2014-2024
        • 2.1.2 Machine Learning in Education Market Size CAGR by Region
      • 2.2 Machine Learning in Education Segment by Type
        • 2.2.1 Cloud-Based
        • 2.2.2 On-Premise
      • 2.3 Machine Learning in Education Market Size by Type
        • 2.3.1 Global Machine Learning in Education Market Size Market Share by Type (2014-2019)
        • 2.3.2 Global Machine Learning in Education Market Size Growth Rate by Type (2014-2019)
      • 2.4 Machine Learning in Education Segment by Application
        • 2.4.1 Intelligent Tutoring Systems
        • 2.4.2 Virtual Facilitators
        • 2.4.3 Content Delivery Systems
        • 2.4.4 Interactive Websites
        • 2.4.5 Others
      • 2.5 Machine Learning in Education Market Size by Application
        • 2.5.1 Global Machine Learning in Education Market Size Market Share by Application (2014-2019)
        • 2.5.2 Global Machine Learning in Education Market Size Growth Rate by Application (2014-2019)

      3 Global Machine Learning in Education by Players

      • 3.1 Global Machine Learning in Education Market Size Market Share by Players
        • 3.1.1 Global Machine Learning in Education Market Size by Players (2017-2019)
        • 3.1.2 Global Machine Learning in Education Market Size Market Share by Players (2017-2019)
      • 3.2 Global Machine Learning in Education Key Players Head office and Products Offered
      • 3.3 Market Concentration Rate Analysis
        • 3.3.1 Competition Landscape Analysis
        • 3.3.2 Concentration Ratio (CR3, CR5 and CR10) (2017-2019)
      • 3.4 New Products and Potential Entrants
      • 3.5 Mergers & Acquisitions, Expansion

      4 Machine Learning in Education by Regions

      • 4.1 Machine Learning in Education Market Size by Regions
      • 4.2 Americas Machine Learning in Education Market Size Growth
      • 4.3 APAC Machine Learning in Education Market Size Growth
      • 4.4 Europe Machine Learning in Education Market Size Growth
      • 4.5 Middle East & Africa Machine Learning in Education Market Size Growth

      5 Americas

      • 5.1 Americas Machine Learning in Education Market Size by Countries
      • 5.2 Americas Machine Learning in Education Market Size by Type
      • 5.3 Americas Machine Learning in Education Market Size by Application
      • 5.4 United States
      • 5.5 Canada
      • 5.6 Mexico
      • 5.7 Key Economic Indicators of Few Americas Countries

      6 APAC

      • 6.1 APAC Machine Learning in Education Market Size by Countries
      • 6.2 APAC Machine Learning in Education Market Size by Type
      • 6.3 APAC Machine Learning in Education Market Size by Application
      • 6.4 China
      • 6.5 Japan
      • 6.6 Korea
      • 6.7 Southeast Asia
      • 6.8 India
      • 6.9 Australia
      • 6.10 Key Economic Indicators of Few APAC Countries

      7 Europe

      • 7.1 Europe Machine Learning in Education by Countries
      • 7.2 Europe Machine Learning in Education Market Size by Type
      • 7.3 Europe Machine Learning in Education Market Size by Application
      • 7.4 Germany
      • 7.5 France
      • 7.6 UK
      • 7.7 Italy
      • 7.8 Russia
      • 7.9 Spain
      • 7.10 Key Economic Indicators of Few Europe Countries

      8 Middle East & Africa

      • 8.1 Middle East & Africa Machine Learning in Education by Countries
      • 8.2 Middle East & Africa Machine Learning in Education Market Size by Type
      • 8.3 Middle East & Africa Machine Learning in Education Market Size by Application
      • 8.4 Egypt
      • 8.5 South Africa
      • 8.6 Israel
      • 8.7 Turkey
      • 8.8 GCC Countries

      9 Market Drivers, Challenges and Trends

      • 9.1 Market Drivers and Impact
        • 9.1.1 Growing Demand from Key Regions
        • 9.1.2 Growing Demand from Key Applications and Potential Industries
      • 9.2 Market Challenges and Impact
      • 9.3 Market Trends

      10 Global Machine Learning in Education Market Forecast

      • 10.1 Global Machine Learning in Education Market Size Forecast (2019-2024)
      • 10.2 Global Machine Learning in Education Forecast by Regions
        • 10.2.1 Global Machine Learning in Education Forecast by Regions (2019-2024)
        • 10.2.2 Americas Market Forecast
        • 10.2.3 APAC Market Forecast
        • 10.2.4 Europe Market Forecast
        • 10.2.5 Middle East & Africa Market Forecast
      • 10.3 Americas Forecast by Countries
        • 10.3.1 United States Market Forecast
        • 10.3.2 Canada Market Forecast
        • 10.3.3 Mexico Market Forecast
        • 10.3.4 Brazil Market Forecast
      • 10.4 APAC Forecast by Countries
        • 10.4.1 China Market Forecast
        • 10.4.2 Japan Market Forecast
        • 10.4.3 Korea Market Forecast
        • 10.4.4 Southeast Asia Market Forecast
        • 10.4.5 India Market Forecast
        • 10.4.6 Australia Market Forecast
      • 10.5 Europe Forecast by Countries
        • 10.5.1 Germany Market Forecast
        • 10.5.2 France Market Forecast
        • 10.5.3 UK Market Forecast
        • 10.5.4 Italy Market Forecast
        • 10.5.5 Russia Market Forecast
        • 10.5.6 Spain Market Forecast
      • 10.6 Middle East & Africa Forecast by Countries
        • 10.6.1 Egypt Market Forecast
        • 10.6.2 South Africa Market Forecast
        • 10.6.3 Israel Market Forecast
        • 10.6.4 Turkey Market Forecast
        • 10.6.5 GCC Countries Market Forecast
      • 10.7 Global Machine Learning in Education Forecast by Type
      • 10.8 Global Machine Learning in Education Forecast by Application

      11 Key Players Analysis

      • 11.1 IBM
        • 11.1.1 Company Details
        • 11.1.2 Machine Learning in Education Product Offered
        • 11.1.3 IBM Machine Learning in Education Revenue, Gross Margin and Market Share (2017-2019)
        • 11.1.4 Main Business Overview
        • 11.1.5 IBM News
      • 11.2 Microsoft
        • 11.2.1 Company Details
        • 11.2.2 Machine Learning in Education Product Offered
        • 11.2.3 Microsoft Machine Learning in Education Revenue, Gross Margin and Market Share (2017-2019)
        • 11.2.4 Main Business Overview
        • 11.2.5 Microsoft News
      • 11.3 Google
        • 11.3.1 Company Details
        • 11.3.2 Machine Learning in Education Product Offered
        • 11.3.3 Google Machine Learning in Education Revenue, Gross Margin and Market Share (2017-2019)
        • 11.3.4 Main Business Overview
        • 11.3.5 Google News
      • 11.4 Amazon
        • 11.4.1 Company Details
        • 11.4.2 Machine Learning in Education Product Offered
        • 11.4.3 Amazon Machine Learning in Education Revenue, Gross Margin and Market Share (2017-2019)
        • 11.4.4 Main Business Overview
        • 11.4.5 Amazon News
      • 11.5 Cognizan
        • 11.5.1 Company Details
        • 11.5.2 Machine Learning in Education Product Offered
        • 11.5.3 Cognizan Machine Learning in Education Revenue, Gross Margin and Market Share (2017-2019)
        • 11.5.4 Main Business Overview
        • 11.5.5 Cognizan News
      • 11.6 Pearson
        • 11.6.1 Company Details
        • 11.6.2 Machine Learning in Education Product Offered
        • 11.6.3 Pearson Machine Learning in Education Revenue, Gross Margin and Market Share (2017-2019)
        • 11.6.4 Main Business Overview
        • 11.6.5 Pearson News
      • 11.7 Bridge-U
        • 11.7.1 Company Details
        • 11.7.2 Machine Learning in Education Product Offered
        • 11.7.3 Bridge-U Machine Learning in Education Revenue, Gross Margin and Market Share (2017-2019)
        • 11.7.4 Main Business Overview
        • 11.7.5 Bridge-U News
      • 11.8 DreamBox Learning
        • 11.8.1 Company Details
        • 11.8.2 Machine Learning in Education Product Offered
        • 11.8.3 DreamBox Learning Machine Learning in Education Revenue, Gross Margin and Market Share (2017-2019)
        • 11.8.4 Main Business Overview
        • 11.8.5 DreamBox Learning News
      • 11.9 Fishtree
        • 11.9.1 Company Details
        • 11.9.2 Machine Learning in Education Product Offered
        • 11.9.3 Fishtree Machine Learning in Education Revenue, Gross Margin and Market Share (2017-2019)
        • 11.9.4 Main Business Overview
        • 11.9.5 Fishtree News
      • 11.10 Jellynote
        • 11.10.1 Company Details
        • 11.10.2 Machine Learning in Education Product Offered
        • 11.10.3 Jellynote Machine Learning in Education Revenue, Gross Margin and Market Share (2017-2019)
        • 11.10.4 Main Business Overview
        • 11.10.5 Jellynote News
      • 11.11 Quantum Adaptive Learning

      12 Research Findings and Conclusion

      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.

      According to this study, over the next five years the Machine Learning in Education market will register a xx% CAGR in terms of revenue, the global market size will reach US$ xx million by 2024, from US$ xx million in 2019. In particular, this report presents the global revenue market share of key companies in Machine Learning in Education business, shared in Chapter 3.

      This report presents a comprehensive overview, market shares and growth opportunities of Machine Learning in Education market by product type, application, key companies and key regions.

      This study considers the Machine Learning in Education value generated from the sales of the following segments:

      Segmentation by product type: breakdown data from 2014 to 2019 in Section 2.3; and forecast to 2024 in section 10.7.
      Cloud-Based
      On-Premise
      Segmentation by application: breakdown data from 2014 to 2019, in Section 2.4; and forecast to 2024 in section 10.8.
      Intelligent Tutoring Systems
      Virtual Facilitators
      Content Delivery Systems
      Interactive Websites
      Others

      This report also splits the market by region: Breakdown data in Chapter 4, 5, 6, 7 and 8.
      Americas
      United States
      Canada
      Mexico
      Brazil
      APAC
      China
      Japan
      Korea
      Southeast Asia
      India
      Australia
      Europe
      Germany
      France
      UK
      Italy
      Russia
      Spain
      Middle East & Africa
      Egypt
      South Africa
      Israel
      Turkey
      GCC Countries

      The report also presents the market competition landscape and a corresponding detailed analysis of the major vendor/manufacturers in the market. The key manufacturers covered in this report: Breakdown data in in Chapter 3.
      IBM
      Microsoft
      Google
      Amazon
      Cognizan
      Pearson
      Bridge-U
      DreamBox Learning
      Fishtree
      Jellynote
      Quantum Adaptive Learning

      In addition, this report discusses the key drivers influencing market growth, opportunities, the challenges and the risks faced by key players and the market as a whole. It also analyzes key emerging trends and their impact on present and future development.

      Research objectives
      To study and analyze the global Machine Learning in Education market size by key regions/countries, product type and application, history data from 2014 to 2018, and forecast to 2024.
      To understand the structure of Machine Learning in Education market by identifying its various subsegments.
      Focuses on the key global Machine Learning in Education players, to define, describe and analyze the value, market share, market competition landscape, SWOT analysis and development plans in next few years.
      To analyze the Machine Learning in Education with respect to individual growth trends, future prospects, and their contribution to the total market.
      To share detailed information about the key factors influencing the growth of the market (growth potential, opportunities, drivers, industry-specific challenges and risks).
      To project the size of Machine Learning in Education submarkets, with respect to key regions (along with their respective key countries).
      To analyze competitive developments such as expansions, agreements, new product launches and acquisitions in the market.
      To strategically profile the key players and comprehensively analyze their growth strategies.

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