AI in education market is driven by the integration of the Intelligent Tutoring System (ITS) in the learning process. ITS is one of the advanced applications of AI aimed at providing immediate and personalized feedback and instructions to learners without the intervention of a human tutor. The numerous benefits offered by the system is major factor augmenting its demand. It assists students in improving their learning styles, offering personalized tutoring and high-quality education by gauging their pre-existing knowledge and learning. The platform collects data points and employs machine learning and predictive models to determine individual knowledge and skill levels and analyze the performance.
The Global AI in Education Market is estimated to grow at a CAGR of +47% during forecast period.
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New market research report gives an in-depth idea about the global AI in Education market. It highlights the recent market scenario, growth in the past few years, and opportunities present for manufacturers in the future. In this research for the completion of both primary and secondary details, methods and tools are used. Also, investments instigated by organizations, government, non-government bodies, and institutions are projected in details for better understanding about the market.
Top Companies Profiled in this Report includes, IBM (US), Microsoft (US), Bridge-U (UK), DreamBox Learning (US), Fishtree (US), Jellynote (France), Jenzabar (US), Knewton (US), Metacog (US), Querium Corporation (US), Google (US), AWS (US), Cognizant (US), Carnegie Learning (US), Century-Tech (UK), Cognii (US), Elemental Path (US), Liulishuo (China), Nuance Communications (US), Osmo (US), Pearson (UK)
After studying key companies, the report focuses on the startups contributing towards the growth of the market. Possible mergers and acquisitions among the startups and key organizations are identified by the report’s authors in the study. Most companies in the AI in Education market are currently engaged in adopting new technologies, strategies, product developments, expansions, and long-term contracts to maintain their dominance in the global AI in Education market. With the advent of new technologies on a regular basis, players are striving hard to incorporate the latest technology to gain a competitive edge above the rest.
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The report provides information on the technological advancements that are bound to take place in the coming years or are currently taking place in the market. Furthermore, the opportunities and threats faced by the main player’s dominant in the Global AI in Education market have been highlighted. This report covers the market from the bottom line, starting from its definition. Later, it segments the market on various criteria to give a depth of understanding on the various product types and pricing structures and applications. Each and every segment is examined carefully by factoring in revenue and market size in order to understand the potential of growth and scope.
The report provides insights on the following pointers:
– Market Penetration: Comprehensive information on the product portfolios of the top players in the AI in Education market.
– Product Development/Innovation: Detailed insights on the upcoming technologies, R&D activities, and product launches in the market
– Competitive Assessment: In-depth assessment of the market strategies, geographic and business segments of the leading players in the market
– Market Development: Comprehensive information about emerging markets. This report analyzes the market for various segments across geographies
– Market Diversification: Exhaustive information about new products, untapped geographies, recent developments, and investments in the AI in Education market
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Table of Contents
Global AI in Education Market Research Report
Chapter 1 AI in Education Market Overview
Chapter 2 Global Economic Impact on Industry
Chapter 3 Global Market Competition by Manufacturers
Chapter 4 Global Production, Revenue (Value) by Region
Chapter 5 Global Supply (Production), Consumption, Export, Import by Regions
Chapter 6 Global Production, Revenue (Value), Price Trend by Type
Chapter 7 Global Market Analysis by Application
Chapter 8 Manufacturing Cost Analysis
Chapter 9 Industrial Chain, Sourcing Strategy and Downstream Buyers
Chapter 10 Marketing Strategy Analysis, Distributors/Traders
Chapter 11 Market Effect Factors Analysis
Chapter 12 Global AI in Education Market Forecast
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