A Latest intelligence report published by AMA Research with title “AI in Education Market Outlook to 2026. A detailed study accumulated to offer Latest insights about acute features of the Global AI in Education Market. This report provides a detailed overview of key factors in the AI in Education Market and factors such as driver, restraint, past and current trends, regulatory scenarios and technology development. A thorough analysis of these factors including economic slowdown, local & global reforms and COVID-19 Impact has been conducted to determine future growth prospects in the global market.
Major Players in This Report Include,
IBM (United States),Microsoft (United States),Bridge-U (United Kingdom),DreamBox Learning (United States),Fishtree (United States),Jellynote (France),Jenzabar (United States),Knewton (United States),Metacog (United States),Querium Corporation (United States),Google (United States),AWS (United States),Cognizant (United States),Carnegie Learning (United States),Century-Tech (United Kingdom),Cognii (United States),Elemental Path (United States)
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Artificial Intelligence in education is a technology that deals with the study & enhancement of intelligent machines and software. AI software is used in industry verticals such as education, BFSI, healthcare, & government. Development of artificial intelligence-empowered educational games that help to enhance and improve the overall educational process has increased adoption of artificial intelligence in the education sector. AI focusses on the creation of intelligent machines that can perform functions like speech recognition, learning & problem solving. In the US education sector, AI is increasingly used to enhance student learning via intelligent interactive programs using various technologies such as machine learning, natural language processing, & deep learning help in overall learning of students.
Intelligent tutoring systems (ITS) based on AI technology are available in market
Technological advancement in learning processes due increasing use of smart devices
Increasing adoption in various applications used in education sector
Emerging need for multilingual translators integrated with the AI technology
Growing deployment of various software solutions in education sector
Increasing encouragement from government on improving the quality of education
The Global AI in Education Market segments and Market Data Break Down are illuminated below:
by Type (Solutions (Software tools & Platforms), Services (Professional services & Managed services)), Application (Virtual Facilitators and Learning Environments, Intelligent Tutoring Systems (ITS), Content Delivery Systems, Fraud and Risk Management, Student-initiated learning, Others), Deployment Mode (Cloud, On-premises), Technology (Deep Learning and Machine Learning, Natural Language Processing (NLP))
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Geographically, the detailed analysis of consumption, revenue, market share, and growth rate of the following regions:
Strategic Points Covered in Table of Content of Global AI in Education Market:
Chapter 1: Introduction, market driving force product Objective of Study and Research Scope the AI in Education market
Chapter 2: Exclusive Summary – the basic information of the AI in Education Market.
Chapter 3: Displaying the Market Dynamics- Drivers, Trends and Challenges of the AI in Education
Chapter 4: Presenting the AI in Education Market Factor Analysis Porters Five Forces, Supply/Value Chain, PESTEL analysis, Market Entropy, Patent/Trademark Analysis.
Chapter 5: Displaying market size by Type, End User and Region 2015-2020
Chapter 6: Evaluating the leading manufacturers of the AI in Education market which consists of its Competitive Landscape, Peer Group Analysis, BCG Matrix & Company Profile
Chapter 7: To evaluate the market by segments, by countries and by manufacturers with revenue share and sales by key countries (2021-2026).
Chapter 8 & 9: Displaying the Appendix, Methodology and Data Source
Finally, AI in Education Market is a valuable source of guidance for individuals and companies in decision framework.
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