Artificial Intelligence In Education Market Will Hit Big Revenues In Future | IBM, Microsoft, AWS

Latest released the research study on Global Artificial Intelligence In Education Market, offers a detailed overview of the factors influencing the global business scope. Artificial Intelligence In Education Market research report shows the latest market insights, current situation analysis with upcoming trends and breakdown of the products and services. The report provides key statistics on the market status, size, share, growth factors of the Artificial Intelligence In Education. The study covers emerging player’s data, including: competitive landscape, sales, revenue and global market share of top manufacturers are 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) ,Osmo (United States).

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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.

Market Trend:

Availability of Intelligent Tutoring Systems (ITS) Based on AI Technology

Growing Adoption of Chatbots

Focus on Automation in Education

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Market Drivers:

Growing Adoption of AI in Educational Sectors

Ability of AI to Improve Knowledge and Experience of Teachers as well Students

Challenges:

Lack of Skills of Teachers and Students to Get Acquainted with AI-enabled Technology

Intricacy Involved in Integration of various Systems

Opportunities:

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Growing Investment in Education Sectors

Rising Number of Smart Class Based Education System

The Global Artificial Intelligence In Education Market segments and Market Data Break Down are illuminated below:

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))

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Region Included are: North America, Europe, Asia Pacific, Oceania, South America, Middle East & Africa

Country Level Break-Up: United States, Canada, Mexico, Brazil, Argentina, Colombia, Chile, South Africa, Nigeria, Tunisia, Morocco, Germany, United Kingdom (UK), the Netherlands, Spain, Italy, Belgium, Austria, Turkey, Russia, France, Poland, Israel, United Arab Emirates, Qatar, Saudi Arabia, China, Japan, Taiwan, South Korea, Singapore, India, Australia and New Zealand etc.

What benefits does AMA research study is going to provide?

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·        Latest industry influencing trends and development scenario

·        Open up New Markets

·        To Seize powerful market opportunities

·        Key decision in planning and to further expand market share

·        Identify Key Business Segments, Market proposition & Gap Analysis

·        Assisting in allocating marketing investments

Strategic Points Covered in Table of Content of Global 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

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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 market size by Type, End User and Region 2015-2020

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 (2021-2026).

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 in decision framework.

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Key questions answered

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·        Who are the Leading key players and what are their Key Business plans in the Global Artificial Intelligence In Education market?

·        What are the key concerns of the five forces analysis of the Global Artificial Intelligence In Education market?

·        What are different prospects and threats faced by the dealers in the Global Artificial Intelligence In Education market?

·        What are the strengths and weaknesses of the key vendors?

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