Artificial Intelligence in Education Market By Global Industry Analysis and Key Players: Google, Microsoft, AWS, IBM, Nuance Communication, Cognii, Sofia Labs, PLEIQ

Market Overview: -

The global artificial intelligence (AI) in education market has ascended as one of the primary AI application verticals owing to the limitless potential in innovations and ability to accelerate the learning process. Growing reputation of AI applications has created a platform for facilitating the knowledge acquisition and decision-making systems that support the educational institutions in effecting student development. Continuous improvements in technology and the increasing availability of advanced infrastructure has further propelled the artificial intelligence (AI) in education market.

The incredible progress of artificial intelligence (AI) in education industry can be emphasized by China’s recently implemented plans to achieve global leadership in AI research and development, including AI application in schools. A report revealed that a high school in Eastern China has installed a facial recognition system for real-time analysis of student engagement, by registering their behavior and facial expressions. Termed as the intelligent classroom behavior management system, its cameras are placed in front of the classrooms above the blackboard and scans the class every 30 seconds. The system can detect various kinds of moods and behavioral pattern of the students.

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Top Key Players: -

Top Key players in artificial intelligence (AI) in education market include Google, Microsoft, AWS, IBM, and Nuance Communication. However, some regional players such as Cognii, Sofia Labs, PLEIQ, and others has laid a strong foundation for the AI in education market expansion.

Market share calculation in this report is not done based on companies covered in it. The calculation of AI in education market share is done based on a regional approach and countries covered. On request, additional companies can be covered as well as regional data for particular country / countries can be provided.

Regional Segmentations: -

According to a report by Global Market Insights, Inc., the artificial intelligence (AI) in education market is dominated by North America, with over 60% share globally. The regional growth is fueled by the early adoption of AI technology in education and immensely developed infrastructure.

With an aim to enhance the affordability and quality of education for all, it has been observed that several leading firms partaking in AI in education market have been collaborating with schools, educational content publishers, universities, and online training platforms in the past few years. The recent partnership effected between Colorado State University (CSU) and Cognii Inc. is a significant instance that aptly depicts the transformation being brought about by AI in education industry across the global learning scenario. Regarded as one of the foremost public research university in the U.S., the faculty at CSU would work hand in hand with Cognii to build a new learning and assessment experience by deploying the Virtual Learning Assistant (VLA) technology.

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Partial Chapter of the Table of Content

Chapter 1. Methodology & Scope
1.1. Methodology
1.1.1. Initial data exploration
1.1.2. Statistical model and forecast
1.1.3. Industry insights and validation
1.1.4. Scope,
1.1.5. Definition
1.1.6. Methodology and research parameters
1.2. Data Sources
1.2.1. Primary
1.2.2. Secondary
Chapter 2. Executive Summary
2.1. AI in Education industry 360º synopsis, 2013 - 2024
2.1.1. Regional trends
2.1.2. Model trends
2.1.3. Deployment trends
2.1.4. Technology trends
2.1.5. Application trends
2.1.6. End-Use trends
Chapter 3. AI in Education Industry Insights
3.1. Introduction
3.2. Industry segmentation
3.3. Industry landscape, 2013-2024
3.4. Industry ecosystem analysis
3.5. Industry evolution
3.6. Market news
3.7. Features & benefits of AI in education sector
3.8. Technology & innovation landscape
3.8.1. Chatbot
3.8.2. Video analytics
3.8.3. Augmented reality and virtual reality
3.8.4. Education neuroscience
3.9. Use cases
3.10. Market news
3.11. Regulatory landscape
3.11.1. Health Insurance Portability and Accountability Act (HIPAA)
3.11.2. Payment Card Industry Data Security Standard (PCI DSS)
3.11.3. North American Electric Reliability Corp. (NERC) Standards
3.11.4. Federal Information Security Management Act (FISMA)
3.11.5. The Gramma-Leach-Bliley Act (GLB) Act of 1999
3.11.6. Sarbanes-Oxley Act of 2002
3.11.7. The Education Act 2011
3.11.8. Right to Education
3.11.9. Individuals with Disabilities Education Act
3.11.10. No Child Left Behind Act
3.11.11. Children’s Internet Protection Act (CIPA)
3.11.12. United Nations Education, Scientific, and Cultural Organization (UNESCO)
3.12. Industry impact forces
3.12.1. Growth drivers
3.12.1.1. Increasing venture capital investment in AI and EdTech
3.12.1.2. Exponentially growing digital data
3.12.1.3. Growing integration of ITS in learning process
3.12.1.4. Increasing partnership with education content providers
3.12.1.5. Rising adoption of cloud-based services
3.12.2. Industry pitfalls & challenges
3.12.2.1. Data safety & security issues
3.12.2.2. Limitation of ITS
3.12.2.3. Lack of skilled professionals
3.13. Growth potential analysis
3.14. Porter's analysis
3.15. PESTEL analysis

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Essentially, the key components of education are supposed to be learning, reasoning and efficient problem solving which are also the principal characteristics of AI systems. Consequently, AI has been integrated with the education industry where it has been found to be beneficial in building social skills and emotional outreach. The acceptance of AI by educational experts derived from its existence as an assistive tool has encouraged the AI based learner model. As per estimates, the learner model held more than 60% of the artificial intelligence (AI) in education market share in 2017.

AI can be used to gather information on the literacy and understanding levels of students from their response to different learning materials, methods and the speed at which they learn. This type of data can help teachers to design a prudent course of study to maximize the learning ability of any particular student.

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