Pune, Nov. 27, 2024 (GLOBE NEWSWIRE) -- Adaptive Learning Market Size Analysis:
“The SNS Insider report indicates that the Adaptive Learning Market size was valued at USD 3.74 billion in 2023 and is expected to grow to USD 22.33 billion by 2032, growing at a CAGR of 22.01% over the forecast period of 2024-2032.”
The increasing demand for personalized learning solutions is one of the major factors driving the growth of the adaptive learning market. Adaptive learning platforms leverage AI and machine learning to create individualized learning experiences that suit the strengths, weaknesses, and learning preferences of each learner. For Instance, the study revealed that platforms utilizing adaptive learning have seen a 40% improvement in student performance compared to traditional methods, primarily due to the real-time adjustments made by the systems in response to learner performance. Ranging from virtual classrooms to e-learning courses, these platforms constantly monitor the performance of students and modify the level of content accordingly to provide them with a better learning experience, which ultimately results in improved engagement, retention, and academic performance of students. Adaptive learning tools, while popular in education, are finding their place in corporate training. Sectors like technology, healthcare, and finance are looking for scalable and efficient solutions to improve employee training. Adaptive learning systems deliver personalized training experiences by matching training resources to individual learning styles and skill levels, which is critical in fields requiring continuous upskilling.
The market growth is accelerated by government support for digital education solutions. The growth of the adaptive learning market is primarily attributed to the advancing technologies including AI, cloud computing, and data analytics, helping educational institutions to implement these systems on a large scale and providing profitable opportunities for market growth.
In addition, the significant increase effectiveness of remote learning possibilities which initially sparked during COVID-19 is also further accelerating the demand for adaptive learning platforms. With traditional student populations expanding through e-learning systems, adaptive learning technologies are likely to continue growing. One of the key benefits of adaptive learning systems is that they are often powered by AI and machine learning, which enables the creation of personalized learning experiences. They use data about how students are doing and behaving and give instant feedback and suggestions for how to do better. As a result, adaptive learning platforms are appealing to both businesses and educators, with this personalised method proving to be more successful than traditional one-size-fits-all methodologies.
Funds allocated to R&D are assisting in the development of adaptive learning strategies and solutions, and all hail the translations, we have hands-on the other end of the world and we comprehend, that most of the initiatives are already working to have multilingual platforms to enhance global reach, access, and utilization. In underserved regions, for instance, the increase in mobile devices and internet connectivity is further driving the rise of adaptive learning solutions to become more accessible. The implementation of adaptive learning technologies is also supported by government initiatives intended to promote digital education, e-learning, and digital literacy. The rise of e-learning within the academic and corporate paraphrasing jobs settings will drive further interest in adaptive learning systems.
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Major Players Analysis Listed in this Report are:
- McGraw-Hill (ALEKS, Connect)
- Pearson (MyLab, Mastering)
- Knewton (Knewton Alta, Knewton API)
- IBM (IBM Watson Education, IBM SPSS Modeler)
- DreamBox (DreamBox Math, DreamBox Insights)
- Smart Sparrow (Adaptive Elearning Platform, Adaptive Learning Analytics)
- Carnegie Learning (MATHia, Literacy, and Learning Solutions)
- Edmentum (Edmentum Courseware, Exact Path)
- Lexia Learning (Lexia Core5, Lexia PowerUp)
- Scholastic (Scholastic Learning Suite, Scholastic Math)
- McGraw Hill Education (ALEKS, SimNet)
- Instructure (Canvas, MasteryPaths)
- Zybooks (Zybook, ZyLab)
- Squirrel AI Learning (Squirrel AI Intelligent Learning, Adaptive Learning Platform)
- Yuanfudao (Yuanfudao Adaptive Learning System, Yuanfudao English Learning App)
- NovoEd (NovoEd Adaptive Learning Platform, Team-Based Learning)
- Skillshare (Skillshare Adaptive Learning, Skillshare Premium)
- Coursera (Coursera for Business, Specializations)
- Udacity (Nanodegree Programs, Udacity Business)
- Moodle (Moodle Workplace, Moodle Academy)
Adaptive Learning Market Report Scope:
| Report Attributes | Details |
| Market Size in 2023 | US$ 3.74 Billion |
| Market Size by 2032 | US$ 22.33 Billion |
| CAGR | CAGR of 22.01% From 2024 to 2032 |
| Base Year | 2023 |
| Forecast Period | 2024-2032 |
| Historical Data | 2020-2022 |
| Key Regional Coverage | North America (US, Canada, Mexico), Europe (Eastern Europe [Poland, Romania, Hungary, Turkey, Rest of Eastern Europe] Western Europe [Germany, France, UK, Italy, Spain, Netherlands, Switzerland, Austria, Rest of Western Europe]). Asia Pacific (China, India, Japan, South Korea, Vietnam, Singapore, Australia, Rest of Asia Pacific), Middle East & Africa (Middle East [UAE, Egypt, Saudi Arabia, Qatar, Rest of Middle East], Africa [Nigeria, South Africa, Rest of Africa], Latin America (Brazil, Argentina, Colombia Rest of Latin America) |
| Key Growth Drivers | • Rising Demand for Personalized Learning • Need for Advanced and Innovative E-Learning Software |
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Segmentation Analysis
By Component
The Platform segment dominates the adaptive learning market and represented a revenue share of 56% in 2023, due to the increasing penetration of AI-based learning solutions in educational and business sectors. These platforms are through it real-time content personalization that enhances, student engagement, retention, and performance. With educational institutions implementing increasing numbers of digital tools to facilitate tailored learning, these platforms have become an integral component of contemporary e-learning systems. The growth of e-learning, the use of AI tools, and the increasing demand for personalized learning paths are some of the key factors driving the platform's growth. That momentum is likely to continue, with platform segment projections remaining strong for change capabilities at institutions moving forward, both in traditional and online learning environments.
The Services segment is projected to grow at the highest rate in the adaptive learning market. The increasing demand for value-added services including consulting, integration, and training, which accompany adaptive learning platforms, also fuels this growth. With organizations and educational institutions embracing adaptive learning technologies and seeking expert guidance for implementation and management, demand for customized services is growing. Meanwhile, as adaptive learning systems grow beyond traditional education and higher into corporate and skill development and acquisition, the need for professional services is becoming critical for the successful deployment and utilization of those technologies. This segment is expected to be the fastest-growing segment during the forecast period owing to the continuous demand for effective adaptation & localization to these learning systems.
Adaptive Learning Market Segmentation:
By Component
- Platform
- Services
By Type
- Businesses
- Individuals
By Deployment
- Cloud
- On-Premises
By End User
- Academic
- Enterprise
- Others
Regional Analysis
North America dominated the market and represented a significant revenue share of 35% in 2023, as a result of the strong education infrastructure, a highly developed digital learning solutions industry, and a significant investment in advanced technologies. It has a strong ecosystem of leading education technology companies and strong government support for integrating AI and digital tools in the classroom. The market in North America is propelled by factors like the growing need for individualized learning experiences, high internet penetration, and higher emphasis on pupil performance. As per the forecast, North America is likely to hold the largest share of the adaptive learning market due to the rising incorporation of adaptive learning platforms within schools, universities, and corporate training.
The adaptive learning market in the Asia-Pacific region is expected to register the highest CAGR, owing to the rapidly progressing technology, rising demand for personalized education systems, and the continuously growing investment in e-learning. With the rapid expansion of online education and the rising adoption of AI-based learning tools, countries such as China, India, and Japan are at the forefront of the region's digital transformation in education. Further driving the demand for adaptive learning platforms is the growing middle-class population coupled with high penetration of the internet and various government initiatives supporting the digital form of education. As long as the focus remains long-term on skill development and education reform, this high-growth journey is likely to remain intact, and in years to come the region is likely to become a global hub of adaptive learning innovations.
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Recent Developments
January 2024: Knewton launched a new AI-driven adaptive learning platform designed to enhance personalized learning experiences in both K-12 and higher education sectors. The platform leverages advanced analytics to adapt content in real-time based on student performance, ensuring a customized educational journey.
March 2024: Pearson Education expanded its adaptive learning offerings by integrating machine learning capabilities into its existing digital textbooks. This new feature helps instructors track student progress and personalize learning pathways more efficiently.
Table of Contents – Major Key Points
- Introduction
2. Executive Summary
3. Research Methodology
4. Market Dynamics Impact Analysis
5. Statistical Insights and Trends Reporting
6. Competitive Landscape
7. Adaptive Learning Market Segmentation, by Type
8. Adaptive Learning Market Segmentation, By Component
9. Adaptive Learning Market Segmentation, By Deployment
10. Adaptive Learning Market Segmentation, By End User
11. Regional Analysis
12. Company Profiles
13. Use Cases and Best Practices
14. Conclusion
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