DUBLIN--(BUSINESS WIRE)--The "AI in Education Market by Technology (Deep Learning and ML, NLP), Application (Virtual Facilitators and Learning Environments, ITS, CDS, Fraud and Risk Management), Component (Solutions, Services), Deployment, End-User & Region - Forecast to 2023" report has been added to ResearchAndMarkets.com's offering.
The report forecasts the global AI in education market to grow from USD 537.3 million in 2018 to USD 3,683.5 million by 2023, at a Compound Annual Growth Rate (CAGR) of 47.0% during the forecast period.
The increasing adoption of the AI technology for various applications in the education sector and growing need for multilingual translators integrated with the AI technology to enhance teachers' and students' experience and improve their knowledge are expected to drive the growth of the AI in education market. Whereas the slow digitization rate is affecting the adoption of the AI technology in the emerging countries. This factor is expected to act as a restraint for the growth of the market.
Based on technologies, the AI in education market is divided into machine learning and deep learning, and Natural Language Processing (NLP). The machine learning and deep learning technology segment is expected to have the larger market size during the forecast period.
The machine learning and deep learning technology offers a systematic way to analyze the progress of students from their performance data. This technology is becoming crucial for understanding educational patterns and suggesting changes and reforms to classrooms and teaching methods.
Based on components, the AI in education market is divided into solutions and services. The solutions segment is further divided into software tools and platforms. Whereas the services segment is classified into professional services and managed services. Among solutions, the software tools segment is expected to have the larger market size during the forecast period. Software tools are used in various educational applications to analyze the hidden patterns from students' data for predicting the outcome of various problems.
Key Topics Covered:
2 Research Methodology
3 Executive Summary
4 Premium Insights
5 Market Overview and Industry Trends
6 Educational Models
7 AI in Education Market, By Technology
8 AI in Education Market, By Application
9 AI in Education Market, By Component
10 AI in Education Market, By Deployment Mode
11 AI in Education Market, By End-User
12 Geographic Analysis
13 Competitive Landscape
14 Company Profiles
- Nuance Communications
- Quantum Adaptive Learning
- Querium Corporation
- Third Space Learning
- Carnegie Learning
- Dreambox Learning
- Elemental Path
For more information about this report visit https://www.researchandmarkets.com/research/glkzzx/ai_in_education?w=4