Generative Artificial Intelligence (AI) in Teaching Market Report 2025

This Generative Artificial Intelligence (AI) in Teaching market report delivers an in-depth analysis of the market’s key characteristics, including size, growth potential, and segmentation. It provides a detailed breakdown of the market across major regions and leading countries, highlighting historical data and future growth projections. The report also examines the competitive landscape, market share insights, emerging trends, and strategic developments shaping the market.

The generative artificial intelligence (AI) in teaching market size has grown exponentially in recent years. It will grow from $1.07 billion in 2024 to $1.53 billion in 2025 at a compound annual growth rate (CAGR) of 44%. The growth in the historic period can be attributed to growth in demand for personalized learning, rise of online education, increase in access to digital devices, rise in need for scalable educational tools, and the push for data-driven insights to improve educational outcomes.

The generative artificial intelligence (AI) in teaching market size is expected to see exponential growth in the next few years. It will grow to $6.54 billion in 2029 at a compound annual growth rate (CAGR) of 43.7%. The growth in the forecast period can be attributed to increasing demand for personalized learning experiences, growing adoption of digital education tools, increasing need for scalable educational solutions, improvements in AI's ability to create interactive content, rising interest in data-driven educational insights, and expansion of remote and hybrid learning environments. Major trends in the forecast period include adoption of AI-driven adaptive learning platforms, enhanced content creation tools, advancements in real-time language translation and assistance, advancements in virtual tutors, and automation of administrative tasks.

The rising adoption of online learning is projected to drive growth in the generative AI in teaching market. Online learning involves acquiring knowledge and skills through digital platforms and internet-based tools, and its expansion is fueled by its flexibility, affordability, broad range of courses, cost-effectiveness, globalization, inclusiveness, and the ability to learn from anywhere at any time. Generative AI enhances online learning by personalizing content, providing instant feedback, and creating engaging materials with 24/7 support, making education more effective and accessible. For instance, in January 2024, Eurostat, a Luxembourg-based government agency, reported that in 2023, 30% of internet users in Europe aged 16 to 74 had participated in an online course or used online learning materials within the previous three months, a 2% increase from 2022. This growing adoption of online learning is driving the expansion of the generative AI in teaching market.

Key players in the generative AI in teaching market are focusing on developing innovative products by incorporating natural language processing (NLP) into AI digital learning to enhance learning experiences and boost student engagement. NLP enables generative AI to understand and respond to individual student needs by analyzing their language and communication patterns. This capability allows for the creation of customized learning materials and tailored feedback, improving comprehension and retention. For example, in June 2024, CK-12 Foundation, a US-based non-profit education organization, introduced Flexi, an AI tutoring assistant available on WhatsApp throughout India. This initiative aims to improve educational accessibility by integrating advanced AI technology with the CK-12 curriculum. Flexi assists students by solving math problems, explaining concepts, and offering study tips, while being accessible in over 300 languages and dialects. The AI tutor uses NLP to accurately understand and respond to student inquiries and continuously improves its performance through machine learning by analyzing user interactions and feedback.

In March 2024, Avallain, a Switzerland-based educational technology company, acquired TeacherMatic for an undisclosed amount. This acquisition aims to strengthen Avallain's market position in the application of artificial intelligence within the education sector. TeacherMatic is a UK-based generative AI-powered platform specifically designed for educators.

Major companies operating in the generative artificial intelligence (AI) in teaching market are Google LLC, Microsoft Corporation, International Business Machines Corporation, Adobe Inc., Pearson plc, OpenAI, Pegasystems Inc., Duolingo, Coursera Inc., Elevate K-12, Kahoot, Quizlet Inc., Carnegie Learning Inc., Nearpod, DreamBox Learning, Moodle Pty Ltd., Khan Academy Inc., Brainly, Knewton Inc., Sana Labs AB, Cerego Inc., Kidaptive Inc., nolej AI, Squirrel Ai Learning, Speechify.

North America was the largest region in the generative artificial intelligence (AI) in teaching market in 2024. The regions covered in the generative artificial intelligence (AI) in teaching market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the generative artificial intelligence (AI) in teaching market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

Generative AI in teaching involves using artificial intelligence technologies to create and generate content that supports and enhances the educational process. This technology can be utilized for developing custom lesson plans, generating quizzes, providing instant feedback, explaining concepts, supporting tutoring, and presenting information in various ways.

The main components of generative AI in teaching include software and services. Software encompasses the programs, applications, and algorithms that enable generative AI systems to operate effectively. Applications of this technology range from content creation for courses and personalized lesson plans to course design, chatbots for student support, data analytics for tracking student performance, restoration of old learning materials, and tutoring. End-users of generative AI in education include higher education institutions, K-12 schools, and corporate training programs.

The generative AI in teaching market research report is one of a series of new reports that provides generative AI in teaching market statistics, including generative AI in teaching industry global market size, regional shares, competitors with a generative AI in teaching market share, detailed generative AI in teaching market segments, market trends and opportunities, and any further data you may need to thrive in the generative AI in teaching industry. This generative AI in teaching market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

The generative AI in the teaching market includes revenues earned by providing services such as personalized learning, content creation, tutoring and assistance, and lesson planning. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included. The generative AI in the teaching market also includes sales of educational content, high-performance graphics processing units (GPUs), tensile processing units (TPUs), and powerful central processing units (CPUs). Values in this market are ‘factory gate’ values, that is, the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

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