Unlocking Growth Potential: Personalized Learning Market Trends, Forecast, and Major Players Revealed

Overview and Scope
Personalized learning refers to an educational approach that customizes the learning experience for each student based on their unique strengths, needs, skills, and interests. It leverages technology, data analysis, and instructional strategies to create personalized learning experiences that optimize student engagement, motivation, and achievement.

Sizing and Forecast
The personalized learning market size has grown exponentially in recent years. It will grow from $3.76 billion in 2023 to $4.74 billion in 2024 at a compound annual growth rate (CAGR) of 26.2%.  The growth in the historic period can be attributed to special education legislation and inclusion policies, demand for alternative education models, parental advocacy, and grassroots movements.

The personalized learning market size is expected to see exponential growth in the next few years. It will grow to $12.13 billion in 2028 at a compound annual growth rate (CAGR) of 26.5%.  The growth in the forecast period can be attributed to the expansion of data analytics capabilities, globalization and cross-cultural collaboration, and demand for customization and differentiation in education. Major trends in the forecast period include augmented and virtual reality applications, personalized learning pathways, and ethical and inclusive personalization practices.

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Segmentation & Regional Insights
The personalized learning market covered in this report is segmented –
1) By Component: Platform, Services
2) By Delivery Mode: Self-Paced, Instructor-Led
3) By Application: Personal, Commercial
4) By End-User: Higher Education, kindergarten-12th grade, Academic, Others End-Users

North America was the largest region in the personalized learning market in 2023. 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, Western Europe, Eastern Europe, North America, South America, Middle East and Africa.

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Major Driver Impacting Market Growth
The expanding online education is expected to propel the growth of the personalized learning market going forward. Online education refers to the delivery of educational content, instruction, and support through digital technology and the Internet. Online education is growing due to its accessibility, flexibility, and cost-effectiveness, enabling learners to study from anywhere at their own pace. Online education facilitates personalized learning by empowering educators with the tools, flexibility, and infrastructure needed to optimize student engagement and success. Personalized learning allows online learners to follow customized learning paths based on their existing knowledge, skills, and learning goals. For instance, in January 2022, according to the World Economic Forum, a Switzerland-based non-governmental organization, the online learning platform Coursera recorded 20 million new student registrations in 2021, reaching 92 million in 2021 from 71 million in 2020. Therefore, expanding online education is driving the growth of the personalized learning market.

Key Industry Players
Major companies operating in the personalized learning market are Google Plc, 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.

The personalized learning market report table of contents includes:
1. Executive Summary
2. Market Characteristics
3. Market Trends And Strategies
4. Impact Of COVID-19
5. Market Size And Growth
6. Segmentation
7. Regional And Country Analysis
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27. Competitive Landscape And Company Profiles
28. Key Mergers And Acquisitions
29. Future Outlook and Potential Analysis

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