AI in Education Market Unveiling Emerging Trends: A Comprehensive Market Research Analysis" 2029

AI in Education Market Overview

The market overview of the AI in Education Market focuses on the specific market characteristics, including elements like industry competition. Comprehensive market revenue predictions are provided for the global, regional, segment, and national levels in the report. The report's sales projections for each region and industry is one of its primary highlights.

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AI in Education Market Report Scope and Research Methodology

The study methodology used a mix of primary and secondary research techniques to compile market data. The primary research techniques, such as questionnaires, interviews, and market observations, would have given the researchers access to first-hand market data, which is usually beneficial. The researchers might have gathered background knowledge and market data by using secondary research techniques including industry studies, business websites, and news articles.

The study examines the AI in Education Market through a market-focused and commercial analysis that takes into account the market's revenue, financial situation, portfolio, technical advancements, and mergers and acquisitions. This strategy aids in giving a complete picture of the market, which stakeholders, investors, and market participants may use to create investment strategies and marketing strategies.

AI in Education Market Regional Insights

The report offers an in-depth analysis of the factors influencing growth, limitations, future prospects, and competition within the industry across all regions. The market is classified by region into North America, Europe, Asia Pacific, Latin America, the Middle East, and Africa. The report also provides a comprehensive overview of the leading countries in each region, along with their respective market forecasts.

AI in Education Market Segmentation

by Deployment

On-Premise
Cloud

According to Deployment, Based on deployment, the AI in Education Market is divided into On-Premise and Cloud segments. Through 2029, the cloud segment of the AI in education market is anticipated to develop at a 50% CAGR. The rise is ascribed to increased usage of cloud services, which reduces ownership costs for educational establishments and enables them to fund the infrastructural upgrades required to deliver top-notch instruction. It also makes it possible for universities and colleges to add cutting-edge technology to their existing infrastructure without having to pay a hefty price.

by Component

Solutions
Services

The market for artificial intelligence in education is divided into two segments: services and solutions. Due to increased government funding and technological improvements, there has been a surge in demand for AI-enabled solutions and services in educational organizations. As a result, the Services component is expected to grow at a quicker CAGR throughout the projected period.

by Technology

Deep Learning & ML
NLP

Based on Technology: Deep Learning & ML and NLP are the two segments of the AI in Education Market. NLP technology is anticipated to increase more quickly than machine learning and deep learning technology over the estimated period. This quick rise can be attributed to rising demand for virtual assistance in colleges and K-12 schools, as well as more investments in cutting-edge technology by educational institutions. Additionally, the education industry is using more and more NLP technology to help read digitally recorded information and comprehend human languages from a variety of data sets.

by Application

Virtual Facilitators & Learning Environments
ITS
CDS
Fraud and Risk Management

Virtual Facilitators & Learning Environments, ITS, CDS, Fraud, and Risk Management are the segments of the AI in Education Market based on Application. Another name for digital education learning technology is the use of virtual learning environments and facilitators. VLEs include several aspects, including knowledge delivery, academic mapping and planning, student engagement and administration, and real-time communication and collaboration. In addition to being a multilingual translator, the AI-powered virtual facilitator also acts as an instructor's assistant and student mentor.

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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 the Automotive Relay Market are:

• What is AI in Education ?
• What are the recent industry trends that can be implemented to generate additional revenue streams for AI in Education Market?
• Which factors are the lucrative opportunities for the AI in Education market growth?
• How is the intervention from regulatory authority is shaping the AI in Education Market?
• What growth strategies are the players considering to increase their presence in AI in Education Market?
• Who held the largest market share in AI in Education Market?
• What is the AI in Education market size of the dominating region?

Key Offerings:


• Past Market Size and Competitive Landscape (2018 to 2022)
• Past Pricing and price curve by region (2018 to 2022)
• 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
o Competitive landscape - Market Leaders, Market Followers, Regional player
o 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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