AI in Education Market Overview:
The AI in Education Market research report analyses and evaluates market’s position over the projected period.It is a thorough investigation that focuses on fundamental and secondary drivers, market share, leading segments, and geographical analysis. The study also looks at key players, large collaborations, mergers, and acquisitions, as well as trending innovation and corporate strategies.
AI in Education Market: Artificial intelligence (AI) refers to the idea and creation of computer systems that can perform routine tasks that need human intelligence. Knowledge delivery, performance-based grading and categorization of students, and intelligent tutorial systems are just a few of the tasks that AI-enabled products and services in the education sector carry out to enhance student and teacher learning.
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AI in Education Market Scope:
We investigated the AI in Education Market from every angle, using both primary and secondary research methods.This aided us in developing a grasp of current market dynamics, such as supply-demand imbalances, price trends, product preferences, consumer behaviors, and so on. The data is then assembled and evaluated using a variety of market estimation and data validation approaches. In addition, we have an in-house data forecasting model that predicts market growth until 2029.
The top authors, researchers, and analysts collated and summarised the evaluation of the impact of recommendations on market activity. The research contains data based on the market’s historical and present situations, as well as other components impacting the market’s development path. It includes the most recent and up-to-date information on the worldwide AI in Education market landscape. The analysis goes into information about demand, revenue forecasts, volume, share, growth, kinds, applications, and sales, among other things. The research examines a variety of crucial restrictions, including item pricing, manufacturing capacity, profit and loss figures, and distribution methods.
AI in Education Market Segmentation:
by Deployment
On-Premise
Cloud
According to deployment, On the basis of deployment, the market for AI in education is divided into On-Premise and Cloud segments. Through 2029, the market for AI in education is projected to develop at a CAGR of 50% for the cloud sector. The rise in usage of cloud services, which reduces the cost of ownership for educational institutions and enables them to invest in the infrastructure upgrades required to deliver high-quality education, is credited to the growth. Additionally, it makes it possible for universities and institutions to incorporate cutting-edge technology into their existing infrastructure without having to spend a lot of money on it.
by Component
Solutions
Services
The market for artificial intelligence in education is divided into solutions and services based on component. The demand for AI-enabled solutions and services in educational organisations has increased as a result of increased government funding and technological improvements, and the Services component is predicted to rise at a quicker CAGR throughout the projected period.
by Technology
Deep Learning & ML
NLP
The AI in Education Market is divided into two categories based on technology: Deep Learning & ML and NLP. NLP technology is anticipated to advance more quickly than machine learning and deep learning during the anticipated time frame. This quick expansion might be attributed to rising K–12 student and college demand for virtual assistance as well as rising educational institution investments in cutting-edge technology. Additionally, the usage of NLP technology in the education sector is expanding to assist in decoding digitally recorded data and comprehending human languages from various data sets.
by Application
Virtual Facilitators & Learning Environments
ITS
CDS
Fraud and Risk Management
The AI in Education Market is divided based on application into Virtual Facilitators & Learning Environments, ITS, CDS, Fraud and Risk Management. Digital education learning technology is another name for the use of virtual facilitators and learning settings. The elements of VLEs include information distribution, academic planning and mapping, student interaction, administration, and real-time communication. The AI-powered virtual facilitator also functions as a multilingual translator, student mentor, and assistant to the lecturer. These AI-enabled facilitators and environments cater to people’s learning needs for autonomous educational programmes and home-based education. Virtual environments also enable students to apply a variety of academic disciplines and social development ideas to difficult real-world social problems. The use of virtual facilitators and learning environments combines artificial
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AI in Education Market Key Players:
The analysis also focuses on the worldwide key industry players of the AI in Education Market, including information such as company biographies, product pictures and specifications, capacity, production, price, cost, revenue, and contact information. This research looks at the AI in Education Market Trend, volume, and value on a global, regional, and corporate level. This study shows the entire AI in Education Market Size from a worldwide perspective by analyzing historical data and prospects. The research covers leading AI in Education market companies and evaluates their market rankings. The players highlighted in this report are as follows:
1.IBM (US)
2. Microsoft (US)
3. Bridge-U (UK)
4. DreamBox Learning (US)
5. Fishtree (US)
6. Jellynote (France)
7. Jenzabar (US)
8. Knewton (US)
9. Metacog (US)
10. Querium Corporation (US)
11. Google (US)
12. AWS (US)
13. Cognizant (US)
14. Carnegie Learning (US)
15. Century-Tech (UK)
16. Cognii (US)
17. Elemental Path (US)
18. Liulishuo (China)
19. Nuance Communications (US)
20. Osmo (US)
21. Pearson (UK)
22. Third Space Learning (UK)
23. Quantum Adaptive Learning (US)
24. ALEKS (US)
25. Blackboard (US)
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Regional Analysis:
The study offers a comprehensive overview of the sector, including both qualitative and quantitative data. It gives an overview and prognosis of the worldwide AI in Education market by segment. It also offers market size and forecast projections for five key regions, including North America, Europe, Asia-Pacific, the Middle East Africa, and South America, from 2022 to 2029. Each region’s AI in Education market is further subdivided by respective regions and segments. The research analyses and forecasts different countries, as well as existing trends and prospects in the region.
COVID-19 Impact Analysis on AI in Education Market:
We have studied and analyzed in detail, Global AI in Education Market Development Strategy post-COVID-19, by corporate strategy analysis, landscape, type, application, and leading countries, which encompasses and analyses the global AI in Education industry’s potential, providing statistical information about market dynamics, growth factors, major challenges, PORTAL analysis, and market entry strategy analysis, opportunities, and forecasts. The report’s main focus is to give firms in the sector a strategic analysis of the impact of COVID-19. Simultaneously, this research examined the markets of key nations and introduced the market potential of these countries.
Key Questions Answered in the AI in Education Market Report are:
- What are some of the most promising high-growth opportunities in the global AI in Education market by product type and End User and Region?
- Which AI in Education market segments will expand the fastest, and why?
- Which regions will develop quicker, and why?
- What are the primary elements influencing AI in Education market dynamics? What are the market drivers and challenges for the AI in Education market?
- What are the AI in Education market’s business risks and threats?
