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Global AI in Education Market Professional Survey by Types, Applications, and Players, with Regional Growth Rate Analysis and Development Situation, from 2023 to 2028

Publisher Maia Research
Published Feb 27, 2024
Length 105 Pages
SKU # MAIR18571962

Description

Global AI in Education Market Professional Survey by Types, Applications, and Players, with Regional Growth Rate Analysis and Development Situation, from 2023 to 2028


This report elaborates on the market size, market characteristics, and market growth of the AI in Education industry between the year 2018 to 2028, and breaks down according to the product type, downstream application, and consumption area of AI in Education. The report also introduces players in the industry from the perspective of the value chain and looks into the leading companies.

Key Points this Global AI in Education Market Report Include:

Market Size Estimates: AI in Education market size estimation in terms of revenue and sales from 2018-2028
Market Dynamic and Trends: AI in Education market drivers, restraints, opportunities, and challenges
Macro-economy and Regional Conflict: Influence of global inflation and Russia & Ukraine War on the AI in Education market
Segment Market Analysis: AI in Education market revenue and sales by type and by application from 2018-2028
Regional Market Analysis: AI in Education market situations and prospects in major and top regions and countries
AI in Education Market Competitive Landscape and Major Players: Analysis of 10-15 leading market players, sales, price, revenue, gross, gross margin, product/service profile and recent development/updates, etc.
AI in Education Industry Chain: AI in Education market raw materials & suppliers, manufacturing process, distributors by region, downstream customers
AI in Education Industry News, Policies by regions
AI in Education Industry Porters Five Forces Analysis

Key players in the global AI in Education market are covered in Chapter 2:

Quantum Adaptive Learning
Fishtree
Metacog
Cognii
Knewton
Microsoft
Luilishuo
Blackboard
Jellynote
AWS
Carnegie Learning
Google
Pearson
Third Space Learning
IBM
Elemental Path
BridgeU
DreamBox Learning
Cognizant
Querium
Century
Jenzabar
Aleks
Nuance

In Chapter 6 and Chapter 9, on the basis of types, the AI in Education market from 2018 to 2028 is primarily split into:

Machine Learning
Natural Language Processing (NLP)

In Chapter 7 and Chapter 10, on the basis of applications, the AI in Education market from 2018 to 2028 covers:

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

Geographically, the detailed analysis of consumption, revenue, market share and growth rate of the following regions from 2018 to 2028 are covered in Chapter 8 and Chapter 11:

United States
Europe
China
Japan
India
Southeast Asia
Latin America
Middle East and Africa
Others

In summary, this report relies on sources from both primary and secondary, combines comprehensive quantitative analysis with detailed qualitative analysis, and pictures the market from a macro overview to micro granular segment aspects. Whatever your role in this industry value chain is, you should benefit from this report with no doubt.

Chapter Outline

This report consists of 12 chapters. Below is a brief guideline to help you quickly grasp the main contents of each chapter:

Chapter 1 first introduces the product overview, market scope, product classification, application, and regional division, and then summarizes the global AI in Education market size in terms of revenue, sales volume, and average price.

Chapter 2 analyzes the main companies in the AI in Education industry, including their main businesses, products/services, sales, prices, revenue, gross profit margin, and the latest developments/updates.

Chapter 3 is an analysis of the competitive environment of AI in Education market participants. This mainly includes the revenue, sales, market share, and average price of the top players, along with the market concentration ratio in 2022 and the players' M&A and expansion in recent years.

Chapter 4 is an analysis of the AI in Education industrial chain, including raw material analysis, manufacturing cost structure, distributors, and major downstream buyers.

Chapter 5 focuses on AI in Education market dynamics and marketing strategy analysis, which include opportunities, challenges, industry development trends under inflation, industry news and policies analyzed by region, Porter's Five Forces analysis, as well as direct and indirect marketing, and the development trends of marketing channels.

Chapters 6-8 have segmented the AI in Education market by type, application, and region, with a focus on sales and value from 2018 to 2023 from both vertical and horizontal perspectives.

Chapters 9-11 provide detailed AI in Education market forecast data for 2023-2028, broken down by type and application, region, and major countries to help understand future growth trends.

Chapter 12 concludes with an explanation of the data sources and research methods. Verify and analyze through preliminary research to obtain final quantitative and qualitative data.

Years considered for this report:

Historical Years: 2018-2022
Base Year: 2022
Estimated Year: 2023
Forecast Period: 2023-2028

Table of Contents

105 Pages
Chapter 1 Market Overview
Chapter 2 Players Profiles
Chapter 3 Competitive Environment: by Players
Chapter 4 Industry Chain Analysis
Chapter 5 AI in Education Market Dynamic and Trends, Marketing Strategy Analysis
Chapter 6 Global AI in Education Market Segment by Type (2018-2023)
Chapter 7 Global AI in Education Market Segment by Application (2018-2023)
Chapter 8 Global AI in Education Market Segment by Region (2018-2023)
Chapter 9 Global AI in Education Market Forecast Segment by Type
Chapter 10 Global AI in Education Market Forecast Segment by Application
Chapter 11 Global AI in Education Market Forecast Segment by Region
Chapter 12 Appendix

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