AI in Education Market
The AI in Education Market is valued at a significant CAGR of 46.12% from 2024 to 2031. As per DataM Intelligence Database.
According to DataM Intelligence has published a new research report on “AI in Education Market Size 2025”. The report explores comprehensive and insightful Information about various key factors like Regional Growth, Segmentation, CAGR, Business Revenue Status of Top Key Players and Drivers. The purpose of this report is to provide a telescopic view of the current market size by value and volume, opportunities, and development status.
AI in Education refers to the theory and development of computer systems to perform tasks that require human intelligence in educational contexts. AI-enabled solutions and services handle functions such as knowledge delivery, grading, student grouping based on performance, and intelligent tutoring systems to enhance the learning experience for students and teachers. Technologies like deep learning, machine learning, and natural language processing (NLP) are applied to education and training software to improve performance and outcomes. These are implemented according to educational models (learner, pedagogical, and domain) for better knowledge delivery and assessment.
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➣ Recent Developments:
United States/North America (Largest market share): Recent Industry Developments
✅ In recent years, North America leads with advanced infrastructure and high EdTech investments. Major players like Microsoft and Google continue to drive adoption through partnerships and tools for personalized learning.
✅ Growing integration of generative AI in platforms, with institutions adopting AI for student support, adaptive learning, and administrative automation. Pilot programs in universities focus on AI fluency as a core skill.
Asia Pacific (Fastest growing region): Recent Industry Developments
✅ In China, schools like Jinhua Xiaoshun Primary School use AI headbands (e.g., from BrainCo) to measure student concentration via real-time data, with facial recognition and cameras assigning engagement scores. The government promotes “smart classrooms” to advance educational boundaries.
✅ Increased demand for AI-enabled solutions due to widespread use of education devices and push for personalized, tech-driven learning in countries like India and Japan.
Latest M&A – No specific recent M&A detailed in the report, but major players pursue acquisitions, collaborations, and product launches to expand capabilities.
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➣ Top Industry Players:
International Business Machines Corporation (IBM), Microsoft, Bridge-U, DreamBox Learning, Fishtree, Jellynote, Century-Tech, Liulishuo, Third Space Learning, Jenzabar, and others.
➣ Market Segments:
By Technology (Deep Learning and Machine Learning, Natural Language Processing (NLP)) – NLP anticipated to dominate due to demand for virtual support in K-12 and higher education.
By Component (Solutions, Services)
By Deployment Mode (Cloud, On-premises)
By End-User (Educational Institutes, Educational Publishers, Others)
By Application (various downstream uses driving personalized learning, intelligent tutoring, etc.)
Benefits of the Report:
Chapter 1 – Market Overview: Kickstarts the report with a comprehensive snapshot of the AI in Education Market, summarizing key segments by region, technology, component, deployment, end-user, and application. Highlights include market size, segment growth potential, and short- & long-term industry outlook.
Chapter 2 – Emerging Trends: Uncovers the game-changing trends and high-impact innovations shaping the future of the industry.
Chapter 3 – Competitive Landscape: Offers a deep dive into market competition, detailing revenue shares, strategic initiatives, and recent mergers & acquisitions.
Chapter 4 – Top Player Profiles: Features detailed company profiles, covering revenue, profit margins, product lines, and major milestones for leading market players.
Chapters 5 & 6 – Regional & Country Analysis: Breaks down revenue performance across global regions, providing insights on market sizes, opportunities, and growth prospects worldwide.
Chapter 7 – Segmentation Analysis: Explores market segmentation by type, revealing high-potential categories and guiding businesses towards lucrative areas.
Chapter 8 – Application Insights: Examines downstream markets and identifies promising sectors for expansion, showing how different applications are driving growth.
Chapter 9 – Supply Chain Mapping: Maps the entire industry supply chain, highlighting upstream and downstream activities for a holistic market perspective.
Chapter 10 – Key Takeaways: Concludes with critical insights and actionable strategies, equipping stakeholders to make informed decisions and stay ahead in the market.
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Regional Break out:
☞ North America – US, Canada, Mexico (Largest share, driven by tech infrastructure and investments)
☞ Europe- Germany, Russia, UK, France, Italy, Rest of Europe
☞ Asia Pacific- China, India, Japan, Australia, Rest of Asia Pacific (Fastest growing, high adoption in smart education initiatives)
☞ South America- Brazil, Argentina, Colombia, Rest of South America
☞ Middle East and Africa- Saudi Arabia, UAE, Oman, Bahrain, Qatar, Kuwait, Israel
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