Analysis and Investigation of Market Prospects in China's AI+Education Industry
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What are the prospects and current status of the AI+education industry? What are the future investment trends in the AI+education market? Artificial intelligence transforms teaching into big data analysis and AI-assisted student-centered personalized learning, providing tailored content and methods to stimulate deeper learning desires. 'China's Education Modernization 2035' includes 'accelerating educational transformation in the information age' as one of its ten strategic tasks, outlining plans for intelligent education applications.
AI+education is driving significant, even revolutionary changes in education, but the essence of education remains unchanged. The fundamental goals of passing down culture, creating knowledge, nurturing talent, and fostering moral integrity will not change.
Some schools in China have already begun experimenting with AI+education. For example, in precision teaching, leveraging big data and AI, high schools in cities like Hefei and Fuzhou have streamlined 45-minute exercise reviews into 15-minute sessions addressing common issues, with the remaining time devoted to group discussions or extended learning. This approach also enables personalized student analysis, teaching tailored to learning needs, and improved efficiency and quality.
'AI+education' refers to the deep integration and development of AI in educational settings, promoting equity, enhancing quality, and achieving personalized learning. Specifically, it encompasses AI technologies, models, and practices in education, categorized into 'computational intelligence + education,' 'perceptual intelligence + education,' and 'cognitive intelligence + education.' AI+education is evolving from 'storage and calculation' to 'listening, speaking, and recognition,' ultimately aiming for 'understanding and thinking.'
AI+education has become one of the most prominent trends in the field. Traditional education giants like New Oriental and TAL, emerging online education unicorns like Liulishuo, and buzzworthy platforms like 'Wind Change Programming' in 2019 are all targeting the 'AI+education' goldmine, also known as AIED (Artificial Intelligence in Education).
From the perspective of educational activities, current scenarios can be divided into teaching, learning, management, and assessment. 'Teaching' and 'management' are educator-centric: the former involves tasks like lesson planning, instruction, Q&A, and grading, with a core need to reduce workload and enable precision teaching. The latter covers administrative tasks like staff recruitment, supervision, admissions, scheduling, and campus development, requiring efficiency and scientific management. 'Learning' and 'assessment' are student-centric: 'learning' involves activities like previewing, attending lectures, reading, homework, revision, and exams, with a focus on adaptive, personalized learning. 'Assessment' deals with large-scale standardized testing, where automated grading is needed to ensure accuracy while handling massive workloads.
2024 China AI+Education Industry Market Prospect Analysis Survey
AI+Education has been practically applied in institutions such as New Oriental, TAL Education, Sijia Education, and Squirrel AI. AI+Education is part of China's multi-level AI education system, implemented under national policies like the New Generation Artificial Intelligence Development Plan, China Education Modernization 2035, and Higher Education AI Innovation Action Plan. Since the introduction of the "Double Reduction" policy, vocational education has emerged as a "new opportunity" in the education and training industry.
The Guidance on Comprehensively Advancing Education Informatization During the 13th Five-Year Plan first proposed exploring new "STEAM" education models. In the 2018 new curriculum standards, programming technologies like AI were officially included as elective courses in high schools. Provinces such as Zhejiang, Henan, Shanxi, Shandong, Tianjin, and Sichuan have introduced programming and AI courses in primary and secondary schools or included them in exams. Extracurricular youth programming education has also grown, complementing the fixed school curriculum system.
On one hand, China's demand for high-quality, skilled talent is increasing. On the other hand, vocational education continues to receive policy support. The implementation of the new Vocational Education Law marks vocational education as a key area of national support, ushering in a period of rapid development.
With the rapid advancement of supporting technologies like big data, cloud computing, and 5G, along with the maturity of related algorithms, models, and frameworks, AI technology has been applied in diverse scenarios, becoming a significant force driving national industrial and economic expansion. Promoting AI development has risen to the level of a national strategy.
Given that the education sector combines the dual characteristics of integrating AI technology and advancing its development, the national and local governments have merged AI-empowered education with cultivating AI talent, issuing policies to promote the growth of AI+Education. Simultaneously, to reserve sufficient AI talent and vigorously develop STEM education, central and local governments have introduced specialized policies for nurturing AI literacy among youth in schools.
Overall Policy Planning for AI+Education: Guided by foundational policies, related supporting policies are steadily advancing. In 2017 and 2018, the State Council and the Ministry of Education issued two key documents: the New Generation Artificial Intelligence Development Plan and the Education Informatization 2.0 Action Plan. These documents outline the future focus and goals of AI+Education from both top-level planning and action perspectives, proposing the use of AI to accelerate talent cultivation reforms, develop smart campuses, and cultivate high-end AI talent.
Subsequently, central and local government departments have introduced relevant supporting policies and measures to actively promote AI+education. These initiatives include building teacher teams with AI literacy, establishing smart education demonstration zones, conducting educational social experiments under AI conditions, improving AI infrastructure in basic education, and advancing innovation in AI fields within universities. These efforts respond to the national call for promoting the integration of education and AI technology.
AI+Education Market Scale Prediction
AI+education is the optimal implementation scenario under high-frequency iteration and personalized demand, while AI training is the most directly benefited sector in the AI wave. Education is one of the most straightforward and logically coherent application scenarios for AI, with frequent policy support highlighting the certainty of AI+education implementation. This is based on two main application directions: AI training and educational informatization.
The integration of AI+education should not only focus on its instrumental value but also involve transformations in educational concepts and methods. With policy support and the disruptive changes brought by technology, the market potential is enormous. The pandemic has further accelerated changes in learning habits, advancing industry development ahead of schedule.
China's AI+education market has an average annual compound growth rate of 69.8%, with a current market size of approximately 172 billion yuan. It is projected that by 2023, the AI+education market size will exceed 600 billion yuan, indicating vast development prospects for the industry.
Future Development Directions of AI+Education:
- AI Training: Comprehensive training covering perception, usage, application, and innovation of AI. The demand and motivation for learning AI will significantly increase in the AI era.
- Educational Informatization: Collecting student learning and exam materials to develop personalized learning solutions.
The current development status of China's AI+education industry is analyzed by professional research teams who compile and analyze various market data. Industry research reports can help investors assess the market situation, predict the future prospects of AI+education, identify investment opportunities, and provide recommendations on investment strategies and marketing approaches.
The analysis covers internal and external environments, industry development status, supply chain conditions, market supply and demand, competitive landscape, leading enterprises, trends, opportunities, risks, development strategies, and investment suggestions for the AI+education industry.