According to our (Global Info Research) latest study, the global AI in Education market size was valued at USD 1817.8 million in 2023 and is forecast to a readjusted size of USD 15350 million by 2030 with a CAGR of 35.6% during review period.
For this report, the market is defined as the expenditure incurred by educational institutions toward Al solutions. End-user industries are limited to formal and informal educational institutions, and enterprises serving the K-12 sector and the higher education sector markets.
North America is expected to have the largest market size in the AI in education market, while Asia Pacific (APAC) is expected to grow at the highest CAGR during the forecast period. The North American region is witnessing investments in the market and various vendors in this region are focusing on providing innovative solutions. Moreover, the AI technology in the education is effectively used to create personalized course contents, enhance teaching performance, and reduce manual work.
The Global Info Research report includes an overview of the development of the AI in Education industry chain, the market status of Educational Institutes (Deep Learning and Machine Learning, Natural Language Processing (NLP)), Educational Publishers (Deep Learning and Machine Learning, Natural Language Processing (NLP)), and key enterprises in developed and developing market, and analysed the cutting-edge technology, patent, hot applications and market trends of AI in Education.
Regionally, the report analyzes the AI in Education markets in key regions. North America and Europe are experiencing steady growth, driven by government initiatives and increasing consumer awareness. Asia-Pacific, particularly China, leads the global AI in Education market, with robust domestic demand, supportive policies, and a strong manufacturing base.
Key Features:
The report presents comprehensive understanding of the AI in Education market. It provides a holistic view of the industry, as well as detailed insights into individual components and stakeholders. The report analysis market dynamics, trends, challenges, and opportunities within the AI in Education industry.
The report involves analyzing the market at a macro level:
Market Sizing and Segmentation: Report collect data on the overall market size, including the revenue generated, and market share of different by Type (e.g., Deep Learning and Machine Learning, Natural Language Processing (NLP)).
Industry Analysis: Report analyse the broader industry trends, such as government policies and regulations, technological advancements, consumer preferences, and market dynamics. This analysis helps in understanding the key drivers and challenges influencing the AI in Education market.
Regional Analysis: The report involves examining the AI in Education market at a regional or national level. Report analyses regional factors such as government incentives, infrastructure development, economic conditions, and consumer behaviour to identify variations and opportunities within different markets.
Market Projections: Report covers the gathered data and analysis to make future projections and forecasts for the AI in Education market. This may include estimating market growth rates, predicting market demand, and identifying emerging trends.
The report also involves a more granular approach to AI in Education:
Company Analysis: Report covers individual AI in Education players, suppliers, and other relevant industry players. This analysis includes studying their financial performance, market positioning, product portfolios, partnerships, and strategies.
Consumer Analysis: Report covers data on consumer behaviour, preferences, and attitudes towards AI in Education This may involve surveys, interviews, and analysis of consumer reviews and feedback from different by Application (Educational Institutes, Educational Publishers).
Technology Analysis: Report covers specific technologies relevant to AI in Education. It assesses the current state, advancements, and potential future developments in AI in Education areas.
Competitive Landscape: By analyzing individual companies, suppliers, and consumers, the report present insights into the competitive landscape of the AI in Education market. This analysis helps understand market share, competitive advantages, and potential areas for differentiation among industry players.
Market Validation: The report involves validating findings and projections through primary research, such as surveys, interviews, and focus groups.
Market Segmentation
AI in Education market is split by Type and by Application. For the period 2019-2030, the growth among segments provides accurate calculations and forecasts for consumption value by Type, and by Application in terms of value.
Market segment by Type
Deep Learning and Machine Learning
Natural Language Processing (NLP)
Market segment by Application
Educational Institutes
Educational Publishers
Others
Market segment by players, this report covers
Google
IBM
Pearson
Microsoft
AWS
Nuance Communications
Cognizant
OSMO
Quantum Adaptive Learning
Querium
Third Space Learning
Aleks
Blackboard
Bridgeu
Carnegie Learning
Century
Cognii
Dreambox Learning
Elemental Path
Fishtree
Jellynote
Jenzabar
Knewton
Luilishuo
Metacog
Market segment by regions, regional analysis covers
North America (United States, Canada, and Mexico)
Europe (Germany, France, UK, Russia, Italy, and Rest of Europe)
Asia-Pacific (China, Japan, South Korea, India, Southeast Asia, Australia and Rest of Asia-Pacific)
South America (Brazil, Argentina and Rest of South America)
Middle East & Africa (Turkey, Saudi Arabia, UAE, Rest of Middle East & Africa)
The content of the study subjects, includes a total of 13 chapters:
Chapter 1, to describe AI in Education product scope, market overview, market estimation caveats and base year.
Chapter 2, to profile the top players of AI in Education, with revenue, gross margin and global market share of AI in Education from 2019 to 2024.
Chapter 3, the AI in Education competitive situation, revenue and global market share of top players are analyzed emphatically by landscape contrast.
Chapter 4 and 5, to segment the market size by Type and application, with consumption value and growth rate by Type, application, from 2019 to 2030.
Chapter 6, 7, 8, 9, and 10, to break the market size data at the country level, with revenue and market share for key countries in the world, from 2019 to 2024.and AI in Education market forecast, by regions, type and application, with consumption value, from 2025 to 2030.
Chapter 11, market dynamics, drivers, restraints, trends and Porters Five Forces analysis.
Chapter 12, the key raw materials and key suppliers, and industry chain of AI in Education.
Chapter 13, to describe AI in Education research findings and conclusion.
Summary:
Get latest Market Research Reports on AI in Education. Industry analysis & Market Report on AI in Education is a syndicated market report, published as Global AI in Education Market 2024 by Company, Regions, Type and Application, Forecast to 2030. It is complete Research Study and Industry Analysis of AI in Education market, to understand, Market Demand, Growth, trends analysis and Factor Influencing market.