Artificial Intelligence in Education Market - Forecasts from 2025 to 2030

The Artificial Intelligence (AI) market in education, valued at US$18.924 billion in 2025, is projected to grow at a CAGR of 20.77%, reaching a market size of US$48.626 billion by 2030.

The increasing adoption of artificial intelligence in education can be attributed to several factors driven by the widespread use of smart devices and the growing trend of digitization across various sectors. In addition, AI solutions offer tailored learning experiences, adapting to individual user needs. The growing advancement in Artificial Intelligence technologies, supported by various government initiatives as well, is driving the market of artificial intelligence in the education market.

Market Trends:

• The surge in investments in artificial intelligence technology is fueling market expansion: Market players, backed by various government initiatives, are increasingly investing in AI technologies. This is spurring innovation in AI and boosting its integration into education, thereby driving market growth. For example, the European Union introduced the "Digital Education Action Plan (2021-2027)" in 2020, which focuses on promoting high-quality, inclusive, and accessible digital education across Europe. This initiative supports the adaptation of education and training systems to the digital era, significantly accelerating the adoption of AI in education.
• There is an increasing demand for personalized and adaptive learning tailored to each student's strengths and weaknesses, heightening the need for customized educational approaches.
• AI is being integrated with insights into individual needs and preferences, tailoring learning styles to design personalized learning pathways for each student.
• Asia-Pacific: The Asia-Pacific region is expected to experience substantial growth in the AI education market, propelled by factors such as the expanding economies of countries like India and China. This economic growth is fostering greater digitization, supported by government policies and initiatives. By the end of the forecast period, the Asia-Pacific region is projected to capture a significant market share and maintain a strong growth trajectory.
• North America: North America is anticipated to command a notable share of the global AI in Education market, thanks to its advanced infrastructure and resources essential for adopting AI in education. Additionally, the region's tech-savvy population, which readily embraces AI-driven education technologies, is further accelerating market growth.

Some of the major players covered in this report include IBM, Microsoft, Google, among others.

Key Benefits of this Report:

• Insightful Analysis: Gain detailed market insights covering major as well as emerging geographical regions, focusing on customer segments, government policies and socio-economic factors, consumer preferences, industry verticals, and other sub-segments.
• Competitive Landscape: Understand the strategic maneuvers employed by key players globally to understand possible market penetration with the correct strategy.
• Market Drivers & Future Trends: Explore the dynamic factors and pivotal market trends and how they will shape future market developments.
• Actionable Recommendations: Utilize the insights to exercise strategic decisions to uncover new business streams and revenues in a dynamic environment.
• Caters to a Wide Audience: Beneficial and cost-effective for startups, research institutions, consultants, SMEs, and large enterprises.

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Report Coverage:

• Historical data from 2022 to 2024 & forecast data from 2025 to 2030
• Growth Opportunities, Challenges, Supply Chain Outlook, Regulatory Framework, and Trend Analysis
• Competitive Positioning, Strategies, and Market Share Analysis
• Revenue Growth and Forecast Assessment of segments and regions including countries
• Company Profiling (Strategies, Products, Financial Information, and Key Developments among others)

Artificial Intelligence (AI) in Education Market Segmentation:

By Technology

• Deep Learning
• Machine Learning
• Natural Language Processing
• Computer Vision

By Deployment

• Cloud
• On-premise

By Solution

• Software
• Services
• Hardware

By End-User

• Higher-Education Institutions
• Education
• Corporate Training

By Delivery Mode

• Mobile Applications
• Web-Based Platforms

By Region

• North America
• South America
• Europe
• Middle East and Africa
• Asia Pacific