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AI in Education Market Size, Share, Industry, Forecast and outlook (2024-2031)

Published: March 2024 || SKU: ICT4213
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Global AI in Education Market Is Segmented By Technology ( Deep Learning and Machine Learning,  Natural Language Processing (NLP),  By Component,  Solutions,  Services),  By Deployment Mode Cloud On-premises), By End-User ( Educational Institutes,  Educational Publishers,  Others), and By Region (North America, Europe, Asia Pacific, Middle East, and Africa) – Share, Size, Outlook, and Opportunity Analysis, 2024-2031

 

AI in Education Market Overview

The Global AI in Education Market is at a CAGR of 46.12 % during the forecast period (2024-2031).

AI refers to the theory and development of computer systems to perform repetitive tasks that require human intelligence. In the education system, AI-enabled solutions and services perform various functions, such as knowledge delivery, grading and grouping of students on a performance basis, and intelligent tutorial systems to improve the learning experience of students and teachers.

AI technologies such as deep learning, machine learning, and NLP are applied to education and training software to improve performance and learning experience. AI technologies are implemented as per educational models such as the learner, pedagogical, and domain models to improve educational systems for better knowledge delivery and assessment.

 

AI in Education Market Scope

Metrics

Details

Market CAGR

 46.12

Segments Covered

By Technology, By Component, By Deployment Mode,  and By Region

Report Insights Covered

Competitive Landscape Analysis, Company Profile Analysis, Market Size, Share, Growth, Demand, Recent Developments, Mergers and acquisitions, New Product Launches, Growth Strategies, Revenue Analysis, and Other key insights.

Fastest Growing Region

Asia Pacific

Largest Market Share 

North America

 

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Source: DataM Intelligence Analysis (2021)

AI in Education Market Dynamics

Emphasis on providing the best learning experience by educational institutes drives the market. However, slow digitalization affects the adoption of AI technology in emerging economies.

Emphasis on providing the best learning experience by educational institutes drives the market

Artificial Intelligence (AI) innovators create AI-empowered electronic gadgets by planning learning programs that further develop learning measures. Educational organizations need to offer the best learning experience to support themselves in the competitive world. For instance, Century Intelligent Learning fostered a homeroom utilizing AI innovation that empowers educators to foster scholastic schedules online so understudies can get to their prospectus whenever.

Moreover, AI innovation is utilized to recognize provisos in information and suggest to understudies subjects that they ought to pick, contingent upon the fitness test results. These inquiries are broken down by AI innovation to discover the qualities and shortcomings of understudies.

Besides, classroom sizes are quickly expanding. Accordingly, collaborations among understudies and instructors are restricted. Computer-based intelligence innovation is helpful to dissect a huge number of data points focused on breaking down the exhibition of understudies. Computer-based intelligence innovation is changing conventional instructive cycles by further developing connections among enterprises and instructive establishments.

Artificial intelligence empowered arrangements and administrations for the instruction area work teachers' and students' insight and information levels. For instance, For example, in September 2020, GoLearn Education Ltd. introduced GoLearn, an AI-based English Language Teaching & Learning (ELTL) platform. With this, the organization aims to offer an AI-based interactive learning platform for English teachers and learners.  These arrangements and administrations help instructors and guardians comprehend their students' performance.

Slow digitalization affecting the adoption of AI technology in emerging economies

Because of the absence of assets for the fundamental prerequisites of IT foundations in agricultural nations, AI-empowered arrangements are subject to accessible IT frameworks, information, and Internet of Things (IoT) devices for catching cases to produce exact outcomes. Artificial intelligence mechanical turns of events, cloud frameworks, huge information, and coordinated information documenting are essential in effectively using AI stages in educational organizations.

Moreover, the execution of AI-empowered arrangements in the instruction area involves the web and disconnected conditions to deliver a compelling result. The specialized versatility is seen significantly in created nations; in any case, the arising economies are relied upon to observe a lethargic development rate as far as digitalization, along these lines bringing about the sluggish development pace of AI in the training market.

Covid-19 Analysis on AI in Education Market

The Covid-19 pandemic positively impacts growing AI in education with surging online platforms, institutes, and courses. Through the Covid-19 pandemic, with schools closing down and universities moving into remote learning, teachers & professors and students have found working in completely new circumstances.

Open online courses and remote degrees have become common offerings of many universities and educational institutions. There has been a rising number of initiatives to use technology such as machine learning in remote education and telepresence to make learning more effective. Additionally, the importance of data was gaining a foothold in education, both in terms of program contents and how it can improve learning.

AI in Education Market Segmentation Analysis

Based on technology, the AI in the education market is segmented into Natural Language Processing (NLP), Deep Learning and Machine Learning.

Natural Language Processing (NLP) technology is anticipated to dominate compared to machine learning and deep learning technology during the forecast period. The high growth is attributed to the growing demand for virtual support in K-12 schools and universities, coupled with educational institutes' rising investments in advanced technology.

Natural Language Processing (NLP) is an efficient approach to bring improvement in an educational setting. Implementing NLP involves starting the process of learning through natural acquisition in the educational systems. It is based on effective approaches to providing a solution for various problems and issues in education. Natural Language Processing provides a solution in various fields associated with the cultural and social context. It is an effective approach for students, teachers, and educators to assist with writing, Analysis and assessment procedures.

Moreover, Natural Language Processing is widely integrated with many educational contexts such as research, science, linguistics, e-learning, evaluations system and contributes to resulting positive outcomes in other educational settings such as schools, higher education systems, and universities.

Source: DataM Intelligence Analysis (2021)

Global AI in Education Market Geographical Share

The AI in the education market is segmented into North America, Europe, South America, Asia-Pacific, and Middle East & Africa based on geography.

Asia-Pacific is expected to grow at a healthy CAGR during the forecast period. It is attributed to many end-users utilizing education devices, thus resulting in the increased demand for more AI-enabled solutions and services. In China, schools have been experimenting with the use of Artificial Intelligence in the classroom.

For instance, Jinhua Xiaoshun Primary School in eastern China recently used headbands developed by US-based BrainCo to measure students' level of concentration. The headband would relay real-time data on how engaged the students were. The aim was to help teachers quantify student engagement to individualize instruction better to cater to the needs of each student.

Moreover, students were found to be monitored using cameras. With the usage of facial recognition software, AI technologies analyze the behavior of students. Certain programs assign a score based on levels of concentration displayed in the classroom by each student.  Moreover, the Chinese government continues to encourage the adoption of "smart classrooms" as they continue to push the limits of Chinese education.

Source: DataM Intelligence Analysis (2021)

AI in Education Market Companies and Competitive Landscape

The AI in Education Market is highly competitive with the presence of local as well as global companies. Key players contributing to the market's growth include International Business Machines Corporation (IBM), Microsoft, Bridge-U, DreamBox Learning, Fishtree, Jellynote, Century-TechLiulishuo, Third Space Learning, Jenzabar, among others. The major players are adopting several growth strategies such as product launches, acquisitions and collaborations, contributing to the growth of AI in the Education Market globally.

International Business Machines Corporation (IBM)

Overview: International Business Machines Corporation (IBM) is a U.S.-based multinational technology corporation. It is headquartered in New York, U.S.

Product Portfolio: International Business Machines Corporation (IBM) offers IBM Education solutions to create cognitive campuses, which help teachers and students improve outcomes from kindergarten through higher education. It supports customized learning, increases research capacity and optimizes operations for better cost-effectiveness.

Key Developments:

  • On May 5, 2020, International Business Machines Corporation (IBM) launched Open P-TECH, a free digital education platform focused on workplace learning and digital skills. The platform is built on the P-TECH program, equips 14-20-year old learners and educators with technology competencies in AI, cloud computing and cybersecurity.

Why Purchase the Report?

  • Visualize the composition of the AI in Education Market segmentation by technology, component, deployment mode, end-user and region, highlighting the key commercial assets and players.
  • Identify commercial opportunities in AI in Education Market by analyzing trends and co-development deals.
  • Excel data sheet with thousands of data points of AI in Education Market -level 4/5 segmentation.
  • PDF report with the most relevant analysis cogently put together after exhaustive qualitative interviews and in-depth market study.
  • Product mapping in excel for the key product of all major market players

The global AI in Education Market report would provide access to an approx. 77 market data tables, 72 figures and 180 pages.

Target Audience

  • Service Providers/ Buyers
  • IT Companies
  • Education Institutes
  • Research Professionals
  • Emerging Companies
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FAQ’s

  • The blog post mentions AI applications like personalized learning experiences, intelligent tutoring systems, and automated grading.

  • The AI in education market is projected to grow at a significant CAGR of 46.12% during the forecast period (2024-2031).

  • Slow digitalization in some regions is mentioned as a challenge for AI adoption in education.

  • NLP is a type of AI that allows computers to understand human language. The blog post mentions its use in virtual assistants and educational software.
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