Personalized Learning Market Report 2026

The personalized learning market size has grown exponentially in recent years. It will grow from $5.96 billion in 2025 to $7.53 billion in 2026 at a compound annual growth rate (CAGR) of 26.3%. The growth in the historic period can be attributed to expansion of digital education platforms, increasing internet penetration in education, growing demand for student-centric learning models, adoption of learning management systems, rising acceptance of online education.

The personalized learning market size is expected to see exponential growth in the next few years. It will grow to $16.69 billion in 2030 at a compound annual growth rate (CAGR) of 22%. The growth in the forecast period can be attributed to increasing investments in AI-powered education tools, growing focus on competency-based education, expansion of personalized corporate training programs, rising adoption of immersive learning technologies, increasing use of real-time learning analytics. Major trends in the forecast period include increasing adoption of adaptive learning platforms, rising use of data-driven student analytics, growing integration of ai-based recommendation engines, expansion of personalized digital content libraries, enhanced focus on learner engagement optimization.

The growth of online education is expected to drive the expansion of the personalized learning market in the coming years. Online education involves the delivery of educational content, instruction, and support through digital platforms and the Internet. This mode of learning is gaining popularity due to its accessibility, flexibility, and cost-effectiveness, allowing learners to study at their own pace from any location. Online education enhances personalized learning by providing educators with the necessary tools, flexibility, and infrastructure to improve student engagement and achievement. Personalized learning enables learners to follow individualized paths based on their existing knowledge, skills, and learning objectives. For example, in January 2024, Eurostat, a Luxembourg-based government agency, reported that participation in online education in 2023 increased compared to 2022, with 30% of individuals aged 16 to 74 having taken an online course or used online learning materials in the three months prior to the survey, a 2 percentage point increase from 28% in 2022. Therefore, the growing adoption of online education is fueling the growth of the personalized learning market.

Prominent players within the personalized learning market are directing their efforts towards integrating artificial intelligence (AI) into personalized learning methodologies to deliver hyper-personalized and compelling learning experiences to students. AI-driven personalized learning entails harnessing AI technologies to customize educational experiences in alignment with individual student needs, preferences, and learning styles. For instance, in June 2023, BYJU'S, an India-based educational technology company, introduced BYJU’S WIZ, a platform leveraging generative artificial intelligence (AI) to furnish students with personalized learning encounters. The WIZ suite encompasses three AI transformer models, including BADRI, MathGPT, and TeacherGPT. BADRI, a predictive AI model, adeptly discerns a student's strengths and weaknesses at a granular level. MathGPT furnishes precise solutions to intricate mathematical challenges, whereas TeacherGPT offers tailored guidance to students. This trio of AI models boasts an impressive 90% accuracy rate in predicting a student’s knowledge state, effectively identifying misconceptions, learning lacunae, or errors along the educational journey.

In August 2024, Mitr Learning & Media, an India-based learning platform, acquired Upside Learning Solutions for an undisclosed amount. Through this acquisition, Mitr Learning & Media intends to strengthen its ability to deliver innovative and tailored learning solutions to corporate clients by leveraging Upside Learning Solutions' expertise in creating impactful training programs that address performance challenges across various industries. Upside Learning Solutions, also based in India, specializes in providing personalized learning services.

Major companies operating in the personalized learning market are Google LLC, Wolters Kluwer N.V., Pearson Education, McGraw-Hill Education Inc., K12 Inc., Scholastic Corporation, Cengage Learning Holdings II Inc., Chegg Inc., Blackboard Inc., PowerSchool, Udemy Inc., Coursera Inc., Duolingo, Rosetta Stone, Desire2Learn Corporation, Codecademy Inc., Udacity Inc., Quizlet Inc., Discovery Education, Edgenuity Inc., Khan Academy Inc., Dreambox Learning Inc., NoRedInk Inc., Knewton Inc., Brainly Inc.

North America was the largest region in the personalized learning market in 2025. It is expected to be the fastest-growing region in the forecast period. The regions covered in the personalized learning market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the personalized learning market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The personalized learning market includes revenues earned by entities by providing services such as personal learning plans, learning assessments, professional development, and student support services. 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 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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