AI in Education Market 2020 Trends and Forecast Analysis With Analysis By Current Industry Status & Growth Opportunities, Top Key Players, Target Audience And Forecast To 2026

(The Express Wire via Comtex)

This study provides world AI in Education industry data you are concerned with, key players and challenges in AI in Education market which will be helpful to ensure the survival and growth of your organisation.

Global AI in Education Market Research Report gives the thorough and complete study of the current status of the industry along with worldwide volume, market revenue, market share, market trends, range applications, pricing during the Forecast Period from 2020 to 2026.

The AI in Education research report studies the dominant market players and their competitive scenario. AI in Education Market is expected to reach xx million US$ in 2026. The AI in Education report covers the company details, product categories, product particulars, volume, AI in Education manufacturing costs, market gains of AI in Education industry and the contact details. The supply and demand ratio, gross margin, 2020 AI in Education market growth separated by regions, growth exhibited by each product category. Other regions can be added as per the need.

Scope of the Report:

The report mainly studies the size, recent trends and development status of the AI in Education market, as well as investment opportunities, government policy, market dynamics (drivers, restraints, opportunities), supply chain and competitive landscape. Technological innovation and advancement will further optimize the performance of the product, making it more widely used in downstream applications. Moreover, Porter's Five Forces Analysis (potential entrants, suppliers, substitutes, buyers, industry competitors) provides crucial information for knowing the AI in Education market.

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Major players in the global AI in Education market include:

Wadhwani AI
Microsoft Corporation
La Casa di Nanni
Great Learning
IBM Corporation

Years considered for this report:

Historical Years: 2014-2019
Base Year: 2019
Estimated Year: 2020
Forecast Period: 2020-2026

On the basis of types, the AI in Education market is primarily split into:

Machine Learning
Natural Language Processing (NLP)

On the basis of applications, the market covers:

Virtual Facilitators and Learning Environments
Intelligent Tutoring Systems (ITS)
Content Delivery Systems
Fraud and Risk Management
Student-initiated learning

Geographically, the report includes the research on production, consumption, revenue, AI in Education market share and growth rate, and forecast (2014-2026) of the following regions:

United States
Europe (Germany, UK, France, Italy, Spain, Russia, Poland)
Southeast Asia (Malaysia, Singapore, Philippines, Indonesia, Thailand, Vietnam)
Central and South America (Brazil, Mexico, Colombia)
Middle East and Africa (Saudi Arabia, United Arab Emirates, Turkey, Egypt, South Africa, Nigeria)
Other Regions

Chapter 1 provides an overview of AI in Education market, containing global revenue, global production, sales, and CAGR. The forecast and analysis of AI in Education market by type, application, and region are also presented in this chapter.

Chapter 2 is about the AI in Education market landscape and major players. It provides competitive situation and market concentration status along with the basic information of these players.

Chapter 3 provides a full-scale analysis of major players in AI in Education industry. The basic information, as well as the profiles, applications and specifications of products market performance along with Business Overview are offered.

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Chapter 4 gives a worldwide view of AI in Education market. It includes production, market share revenue, price, and the growth rate by type.

Chapter 5 focuses on the application of AI in Education, by analyzing the consumption and its growth rate of each application.

Chapter 6 is about production, consumption, export, and import of AI in Education in each region.

Chapter 7 pays attention to the production, revenue, price and gross margin of AI in Education in markets of different regions. The analysis on production, revenue, price and gross margin of the global market is covered in this part.

Chapter 8 concentrates on manufacturing analysis, including key raw material analysis, cost structure analysis and process analysis, making up a comprehensive analysis of manufacturing cost.

Chapter 9 introduces the industrial chain of AI in Education. Industrial chain analysis, raw material sources and downstream buyers are analyzed in this chapter.

Chapter 10 provides clear insights into market dynamics.

Chapter 11 prospects the whole AI in Education market, including the global production and revenue forecast, regional forecast. It also foresees the AI in Education market by type and application.

Chapter 12 concludes the research findings and refines all the highlights of the study.

Chapter 13 introduces the research methodology and sources of research data for your understanding.

Table of Contents

1 AI in Education Market Overview
2 Global AI in Education Market Landscape by Player
3 Players Profiles
4 Global AI in Education Production, Revenue (Value), Price Trend by Type
5 Global AI in Education Market Analysis by Application
6 Global AI in Education Production, Consumption, Export, Import by Region (2014-2019)
7 Global AI in Education Production, Revenue (Value) by Region (2014-2019)
8 AI in Education Manufacturing Analysis
9 Industrial Chain, Sourcing Strategy and Downstream Buyers
10 Market Dynamics
11 Global AI in Education Market Forecast (2020-2026)
12 Research Findings and Conclusion
13 Appendix....

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