Edison, NJ -- (SBWire) -- 03/22/2019 --Artificial intelligence (AI) in education involves the use of automation devices and techniques to support teachers and students with their education. Considering the effectiveness of AI and need to increase the skills among teachers and students are bolstering the demand for AI in education sectors as smart classes has started to become the new norms in education. AI also provides personalized help to learners and finds weakness, if any, in classroom with an aim to take corrective action. Various time consuming non-teaching processes such as marking, grading, exam seating arrangements and similar others activities can be done with an ease using AI.
Advance Market Analytics recently introduced Artificial Intelligence In Education Market study with in-depth overview, describing about the Product / Industry Scope and elaborates market outlook and status to 2024. Artificial Intelligence In Education Market explores effective study on varied sections of Industry like opportunities, size, growth, technology, demand and trend of high leading players. It also provides market key statistics on the status of manufacturers, a valuable source of guidance, direction for companies and individuals interested in the industry.
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Major Key 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), Liulishuo (China), Nuance Communications (United States) and Osmo (United States)
The market study is being classified, by Application (Virtual Facilitators and Learning Environments, Intelligent Tutoring Systems (ITS), Content Delivery Systems, Fraud and Risk Management, Student-initiated Learning and Others (education data management, job recommendation, and training and development)) and major geographies with country level break-up.
On the basis of geography, the market of Artificial Intelligence In Education has been segmented into South America (Brazil, Argentina, Rest of South America), Asia Pacific (China, Japan, India, South Korea, Taiwan, Australia, Rest of Asia-Pacific), Europe (Germany, France, Italy, United Kingdom, Netherlands, Rest of Europe), MEA (Middle East, Africa), North America (United States, Canada, Mexico). If we see Market by End Users, the sub-segment i.e. Educational Institutes will boost the Artificial Intelligence In Education market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth. If we see Market by Deployment Type, the sub-segment i.e. Cloud will boost the Artificial Intelligence In Education market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth.
The research methodology used to estimate and forecast the Artificial Intelligence In Education Market began with capturing data from the key vendors' revenue and market size of the individual segments through secondary sources, industry associations, and trade journals, such as the World Analytics Association and the Cloud Native Computing Foundation. The bottom-up procedure was employed to arrive at the overall market size of the market from the individual segments. After arriving at the overall market size, the total market was split into several segments and sub segments, which were then verified through primary research by conducting extensive interviews with the key industry personnel, such as Chief Executive Officers (CEOs), Vice Presidents (VPs), directors, and executives. The data triangulation and market breakdown procedures were employed to complete the overall market engineering process and arrive at the exact statistics for all the segments and sub segments.
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The report focuses on Global Artificial Intelligence In Education Market major leading industry players with information such as company profiles, product picture and specification, capacity, production, price, cost, revenue and contact information. Upstream raw materials, equipment and downstream consumers analysis is also carried out. What's more, the market development trends and marketing channels are analyzed.
Strategic Points Covered in Table of Content of Artificial Intelligence In Education Market:
Chapter 1: Introduction, market driving force product Objective of Study and Research Scope the Artificial Intelligence In Education market
Chapter 2: Exclusive Summary – the basic information of the Artificial Intelligence In Education Market.
Chapter 3: Displaying the Market Dynamics- Drivers, Trends and Challenges of the Artificial Intelligence In Education
Chapter 4: Presenting the Artificial Intelligence In Education Market Factor Analysis Porters Five Forces, Supply/Value Chain, PESTEL analysis, Market Entropy, Patent/Trademark Analysis.
Chapter 5: Displaying the by Type, End User and Region 2013-2018
Chapter 6: Evaluating the leading manufacturers of the Artificial Intelligence 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 in these various regions.
Chapter 8 & 9: Displaying the Appendix, Methodology and Data Source
Finally, Artificial Intelligence In Education Market is a valuable source of guidance for individuals and companies.
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Artificial Intelligence in Education Market Huge Demand and Future Scope Including Top Players: IBM, Microsoft, Bridge-U, DreamBox Learning, Fishtree
Artificial Intelligence In Education Comprehensive Study by Application (Virtual Facilitators and Learning Environments, Intelligent Tutoring Systems (ITS), Content Delivery Systems, Fraud and Risk Management, Student-initiated Learning, Others (education data management, job recommendation, and training and development)), End Users (Educational Institutes, Educational Publishers, Others (Massive Open Online Courses (MOOCs), Virtual Learning Environments (VLEs), Computer-based Tests, Adaptive Learning, and immersive learning)), Deployment Type (Cloud, On-premises), Technology (Deep Learning and Machine Learning, Natural Language Processing (NLP)), Component (Solutions (Software tools and Platforms), Services (Professional services and Managed services)) Players and Region - Global Market Outlook to 2024