Transforming Education: The Expanding Horizons of the AI in Education Market.


AI in Education Market Overview: 

Maximize Market Research’s latest research report unveils the AI in Education Market landscape. With a primary focus on key players, their segments, business strategies, regional expansion, and cost structures, the report offers valuable insights. It delves into top players, market size, shares, drivers, challenges, opportunities, competitive landscape, attractiveness analysis, new product launches, technological advancements, and growth catalysts, all contributing to a comprehensive analysis of the AI in Education Market .

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AI in Education Market Report Scope and Research Methodology: 

The AI in Education Market report provides insights into market applications and key strategies, considering diverse driving and limiting factors. It encompasses the study of trends, volume, cost, share, supply, demand, and product analysis. Qualitative and quantitative data, gathered from primary research, free/paid databases, surveys, and Google forms, undergoes analysis using tools like SWOT and PESTLE to comprehensively understand the AI in Education Market .

Market Dynamics: One significant development in the market for AI in education is the rising emphasis on conversational learning. As the emphasis on digitalization and e-learning has grown, conversational learning has emerged as a crucial component of education all over the world. Information is conveyed through a two-way conversation in the notion of conversational learning. Students’ learning experiences become more dynamic, customised, and engaging thanks to conversational learning technologies. As they are designed to accommodate the demands of the student, chatbots thus play a crucial role in the educational process.

AI in Education Market Regional Insights: 

In a AI in Education Market research report, regional analysis provides valuable insights into the geographic variations of the AI in Education Market . This analysis entails a meticulous assessment of market trends, competitive dynamics, consumer tendencies, and regulatory frameworks unique to each region.

Market Segmentation: 

by Deployment

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

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

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
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: 

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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Key questions answered in AI in Education Market are:

  • What is the AI in Education Market size of the dominating region?
  • What was the AI in Education Market size in 2022?
  • What is the expected AI in Education Market size by 2029?
  • What is the growth rate of the AI in Education Market ?
  • Which are the factors expected to drive the AI in Education Market growth?

Key Offerings:

  • Past Market Size and Competitive Landscape (2018 to 2021)
  • Past Pricing and price curve by region (2018 to 2021)
  • Market Size, Share, Size Forecast by different segment | 2022−2029
  • Market Dynamics – Growth Drivers, Restraints, Opportunities, and Key Trends by region
  • Market Segmentation – A detailed analysis by segment with their sub-segments and Region 
  • Competitive Landscape – Profiles of selected key players by region from a strategic perspective
    • Competitive landscape – Market Leaders, Market Followers, Regional player
    • Competitive benchmarking of key players by region
  • PESTLE Analysis 
  • PORTER’s analysis 
  • Value chain and supply chain analysis 
  • Legal Aspects of business by region
  • Lucrative business opportunities with SWOT analysis 
  • Recommendations 

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