How Big is the AI in Education Market | Size, Growth, and Forecast 2025

How Big is the AI in Education Market

The worldwide AI in Education Market is poised for significant growth, with the need for personalization and enhanced technology in educational environments a primary driver. The market has been progressing faster since various factors are driving its growth. AI supports improved inclusion and accessibility with an ever-greater range of options available for learners with disabilities, including: Text-to-speech and speech-to-text capabilities. The market attained great success in the past and by 2031, it is estimated to reach USD 30 billion. According to 6Wresearch, AI Education Market size is anticipated to grow at a CAGR of 8% during 2025-2031. 

Significance of AI in Education

Artificial Intelligence (AI) is reshaping the global education landscape, with creative, innovative ways to enhance learning outcomes, personalize learning experiences, and improve student and faculty administration. AI's potential for refining the way we teach and learn in the 21st century is taking shape in everything from intelligent tutoring systems to predictive analytics.

1. Personalizing Learning At Scale: Perhaps one of the most significant impacts that AI can have on education is the capability to personalize learning for a learner. By collecting, recording, and analyzing learning data about a learner's patterns of learning, preferences, and performance data to create platforms and services that: Recommend individualized study plans Adapt the difficulty of content based on the capacity of the learner to quickly identify learner gaps in knowledgeAI can generate learner unique paths for learning instead of the current "one-size-fits-all" model of education, which is particularly useful within large classroom settings or remote learning environments.

2. Intelligent Tutoring Systems (ITS): AI-powered tutoring systems emulate the personalized, one-on-one interaction with students that educators provide how, with the ability to: Provide feedback and strategies for change almost instantaneously.  Adapt teaching strategies dynamically based on a wide range of student performance and outcomes in larger settings. Bundle practice questions based on student needs. Carnegie Learning and Squirrel AI are two tools in this space that have shown some promise in improving student engagement and academic success, particularly within STEM disciplines.

3. Improving Accessibility and Inclusion: AI supports improved inclusion and accessibility with an ever-greater range of options available for learners with disabilities, including: Text-to-speech and speech-to-text capabilities.

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