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Machine Learning in Education Market Set for Rapid Growth During 2019 - 2024

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ReportsWeb Adds “Global Machine Learning in Education Market” offers an up-to-date analysis of the Market with regards to the innovations, current competitive landscape and latest trends and drivers, to provide new predictions for the forecast period.

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

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.

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.

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Companies Profiled in this report includes: IBM, Microsoft, Google, Amazon, Cognizan, Pearson, Bridge-U, DreamBox Learning, Fishtree, Jellynote, Quantum Adaptive Learning

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

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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.

Table of Content:

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

1 Scope of the Report

2 Executive Summary

3 Global Machine Learning in Education by Players

4 Machine Learning in Education by Regions

5 Americas

6 APAC

7 Europe

8 Middle East & Africa

9 Market Drivers, Challenges and Trends

10 Global Machine Learning in Education Market Forecast

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

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