Global Adaptive Learning Market - 2021-2028
The adaptive learning market size was worth US$ YY million in 2020 and is estimated to reach US$ YY million by 2028, growing at a CAGR of YY % during the forecast period (2021-2028).
Adaptive learning is tailored to computer-based algorithms to organize the interaction with the learner and present learning activities and customized resources to address the individual needs of each learner in the education sector. Adaptive learning systems are created to dynamically adapt to course content based on an individual student's skill attainment in ways that stimulate a learner's performance with automated and instructor interventions.
The adaptive systems are useful to address learning challenges such as diverse student backgrounds, varying student learning ability and resource limitations. The machine learning systems aim to utilize proficiency, discover what a student knows and logically move students through a sequential education path to guided learning outcomes and skill mastery. The market for adopting learning has been growing because of its numerous offerings such as one-to-one instruction, greater time efficiency, confidence-based approach, create individualized learning paths, personalized learning for a heterogeneous group and focused remediation.
The global adaptive learning market is driven by the need for tailored solutions in the education sector.
With adaptive learning, students in schools and colleges can have learning modules tailored to their specific needs, ways of learning and learning difficulties. Adaptive learning is the future of education; students across the globe will benefit from selecting courses and modules that are tailored around how they prefer and need to learn. The utilization of adaptive learning lessens the gap between low and high performers and drives students towards mastery.
A recent Adaptemy company investigation concluded that using a system powered with adaptive and personalized learning experiences, students' maths ability increased by 8.3% on average per concept for an average of 5 minutes. Moreover, the growth progressed to 12.4% on average per concept. Everyone cannot absorb the knowledge a teacher is trying to provide the same way, so some learners will understand it, whereas others will struggle. These scenarios create the need for more advanced learning solutions, driving the demand for the adaptive learning market.
Blending adaptive learning with predictive analytics holds vast potential for enhancing students learning and producing positive learning outcomes. AI-based learning systems can gather and process large amounts of data from students learning activities, such as response latency, time spent on completing each task and assessment results. The data can recognize patterns and build predictive models that identify student needs and intensify the content delivered to every learner. Algorithms analyze data very faster than humans. So, students get the prompts, content and interventions, which vary in real-time based on their abilities and needs.
The rising cost of adaptive learning can be a major factor restraining the adaptive learning market growth. Many educators have recognized the advantages of adaptive learning; the challenge is finding a way to implement it cost-effectively. The cost of adaptive learning has increased with ongoing technology upgrades, which is uneconomical for end-users to purchase these solutions. The budgets in various developing nations are particularly low are still low and do not allow educational institutes not to accommodate the technology.
Most adaptive systems are proprietary and also need high upfront costs to develop. Adaptive systems are available for few subject areas and are currently focused on a limited number of subjects. The scenarios are expected to restrain the market growth for the adaptive learning market.
Due to the pandemic, stakeholders across the adaptive learning industry have been growing exponentially. The pandemic has resulted in the closure of schools, causing learning loss among students, schools and EdTech platforms, which has increased the demand for adaptive learning management software. The closure of schools, universities and other learning institutes has impacted the majority world's student population, majorly in the lower-middle-income countries.
The scenarios mentioned above have resulted in extended adoption of adaptive and blended learning models, particularly in countries that have been adversely affected by Covid-19, to continue its pace of learning. The adoption of adaptive learning is predicted to continue beyond the pandemic and will succeed in new models being put in place. The pandemic and economic disruptions have changed the landscape for future work and adaptive learning technologies have the potential to support students pivot toward new careers.
By type, the adaptive learning market is segmented into machine learning-based adaptive systems, advanced algorithm adaptive systems, rules-based adaptive systems and decision-tree adaptive systems.
The machine-learning based adaptive systems hold the largest market share for the adaptive learning market globally and are anticipated to continue their dominance in the forecast period. Machine-learning based adaptive platforms are one of the most sophisticated scientific methods to establish a truly adaptive state.
Machine learning is compatible with statistical modeling, pattern recognition, predictive analytics, statistical regularities and other forms of advanced adaptive capabilities. ML-based systems use programmed algorithms to build the adaptive science core and gain real-time predictions about a learner's subject matter mastery.
ML-based adaptive platforms utilize learning algorithms to build other algorithms, designing predictive analytics and adaptive sequences that can continuously gather data and apply it to move a student into a guided learning path. The ML learners regularly harvest data in real-time, discovering student's proficiency in mastering objective-specific content modules.
The data is then applied to alter the sequence of skills or the content type automatically. Learning algorithms generate analytical models intended to produce reliable, repeatable decisions and outcomes that reveal undiscovered insights in student mastery within the ongoing evaluation of historical relationships and data trends.
North America region holds the largest market share for the adaptive learning market globally and is anticipated to continue its dominance in the forecast period. The growth can be associated with economically and technologically advanced countries such as Canada, U.S and emerging technologies. The regional organizations have been extensively adopting adaptive learning platforms coupled with AI to actively tailor content to each individual's needs. The region is rapidly adopting new technologies at the most accelerated pace and dominates the overall learning ecosystem to enhance skill sets and technicalities among students.
Moreover, the major growth drivers for the region are advancing collaborations and institutional partnerships between the institutes and top market players. For instance, in 2021, Cambridge University Press & Assessment has completed the acquisition of CogBooks, the pioneering online learning technology company. The step will help shape the future of education in an increasingly digital with adaptive learning by introducing its renowned teaching and learning content and global reach together with CogBooks' expertise in the field.
Moreover, in 2021, McGraw Hill has acquired Kidaptive, Inc., an adaptive learning platform company with expertise in early learning, learning science and data analytics. Kidaptive's team of learning scientists, data scientists and engineers will join the Center for Innovation within McGraw Hill's School group. The team will improve smarter and lighter student-centered solutions that will power personalized learning experiences.
The adaptive learning market is moderately competitive with the introduction of new technologies in the education sector. The market is lead by global companies due to its wide range of customers in numerous countries, followed by the local companies contributing to the major share in the market growth.
In addition, some of the key players contributing to the market's growth are D2L Corporation., Pearson Education, CogBooks, Kaplan Inc., DreamBox Learning, John Wiley & Sons, Inc, Desire2Learn, Cerego, Knewton, Fishtree, Kidaptive and others. The major players are adopting various new strategies to dominate the market, such as launching new services, partnerships, acquisitions and collaborations, contributing to the global growth of the adaptive learning market.
The global adaptive learning market report would provide access to an approx: 77 market data tables, 76 figures and 180 pages.
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