The adaptive learning market has been experiencing significant growth in recent years, driven by the increasing demand for personalized and efficient learning solutions. One of the key market trends in the adaptive learning sector is the integration of advanced technologies such as artificial intelligence and machine learning algorithms. Such technologies bring adaptive learning platforms the ability to analyze personal learning patterns and provide learner-centered content and feedback to individualize the process of learning. Because of this, educational institutions and corporate training departments are more often adopting adaptive learning systems that are considered to be better at improving the learning results and engagement.
Along with the smart mobile technology trend, the demand for adaptive learning mobile solutions is another notable trend in the market. With growth of mobiles devices, there is an emerging necessity for the adaptive learning systems that are available any time, anywhere. The emergence of this trend has given rise to the development of mobile-friendly adaptive learning apps and platforms dedicated to learners who are comfortable with the idea of accessing educational content on their hand-held devices including smartphones and tablets. Therefore, there is a growing interest in developing adaptive learning platforms that are also responsive to the need of mobile learning across different sectors.
Also, the industry of Adaptive learning is taking to cloud-based platforms learning. Adaptive leaning solutions based on the cloud technology are scalable, flexible, and if it’s accessible, are a preferred choice for schools and organizations. Adaptive learning providers can benefit from the cloud technology since updates can be made seamlessly, analytics run in real-time, and collaborative learning is supported through this technology hence, driving the request for cloud-based adaptive learning platforms.
Furthermore, there is an observable growth in the cooperation of e-content providers and adaptive learning platform developers in the adaptive learning industry. This trend is being generated by the increasing demand for the best quality, curated content that corresponds to the adaptive learning platforms’ individualized learning strategy. This way content providers are moving into a strategic collaboration with adaptive learning solution providers in a bid to create rich, adaptive content that is pertinent to various learning needs and preferences.
Moreover, the global pandemic as well has fast-tracked the adoption of the adaptive learning solutions and the education institutions and the corporate organizations have transitioned to the remote and hybrid learning models. This shift has propelled the demand for adaptive learning platforms that can facilitate personalized and engaging learning experiences in virtual environments. As a result, the market is witnessing a surge in the development of immersive, interactive content and simulations within adaptive learning platforms to cater to the evolving needs of remote learners.
Report Attribute/Metric | Details |
---|---|
Market Opportunities | The growing use of cloud computing among organizations and educational institutes |
Market Dynamics | Need for advanced and innovative e-learning softwareRising demand for personalized learning |
The Adaptive Learning Market size is projected to grow from USD 2.137 Billion in 2024 to USD 7.41 Billion by 2032, exhibiting a compound annual growth rate (CAGR) of 16.81% during the forecast period (2024 - 2032). Additionally, the market size for adaptive learning was valued at USD 1.79 Billion in 2023.
The rising demand for advanced and innovative e-learning software and solutions, demand for personalized learning, and government initiatives for adaptive learning solutions are the key market drivers enhancing market growth.
Figure 1: Adaptive Learning Market Overview, 2022 & 2032
Source: Secondary Research, Primary Research, MRFR Database and Analyst Review
Market CAGR for adaptive learning is being driven by the rising requirement for advanced and innovative solutions to enhance the students' pass rate, score, and retention level has directed to the emergence of advanced digital learning software. An adaptive learning tool utilizes a range of advanced technologies such as augmented reality (AR), artificial intelligence (AI), and virtual reality (VR), among others, and static forms to display range on a screen. These technologies improve the software's capabilities and make it more enjoyable for learners. It allows students to learn things more easily and understandably. AR and VR technology allows one to understand difficult science concepts easily, generating interest in learning. It allows modernization and enriches content, making information more efficient and intuitive. Thus, adaptive learning is anticipated to totally innovate the practice education is approached and bring a spark back into the classroom.
Additionally, increasing adaptive learning software adoption in educational institutions is expected to drive revenue growth in the adaptive learning market. Growing demand for customization of learning processes is major expected to propel adaptive learning market revenue growth. A customized learning approach alleviates confusion that could arise with a- one-size-fits-all learning approach since learners prefer to interact with content at their convenience and speed. Most learners learn quicker, better, and at their speed and are more willing to continue with a program than quit. Growing government initiatives towards better education approaches, and methods are expected to increase the adoption of adaptive learning software, which in turn is anticipated to continue to boost the growth of the adaptive learning market revenue.
An increasing inclination towards self-directed learning is expected to grow the market. In the self-directed learning (SDL) method, the learner takes the accountability of learning at their own speed and time, with or without the help of mentors. This approach permits learners to control, assess, and control their learning activities. Adaptive learning software is one of the instruments utilized in this approach that generates data about the learners while they are taking e-learning systems. In the traditional approach, it isn't straightforward to track the performance of every student. With the support of these platforms, learners' performance can be followed online and changed to their learning experience. It assists in understanding individuals' performance and needs, indicates advancement, and anticipates the learners' future interpretation.
Moreover, organizations strive to enhance their training approaches by developing game-based learning to entertain and empower learners. Gamification can improve retention rates and improve the application of the issue matter at work. It is deemed an excellent application in training and education to enhance retention and performance and create long-term adherence to the task. Therefore, companies look forward to implementing game-based solutions, including adaptive learning software, which can add value to organization-wide learning.
The adaptive learning market segmentation, based on technology, includes the Internet of Things (IoT), artificial intelligence (Al) & analytics, digital twin, cloud computing, security, and blockchain. The blockchain segment dominated the market, accounting for 35% of market revenue (0.63 Billion). The cloud's ability to provide real-time remote access to data via sensors, satellite photos, and the weather has contributed to this expansion. However, artificial intelligence (Al) & analytics is the fastest-growing category as organizations are deploying AI technologies to collect and interpret behavioral data from existing AI devices and connected products.
Figure 2: Adaptive Learning Market, by Technology, 2022 & 2032 (USD Billion)
Source: Secondary Research, Primary Research, MRFR Database and Analyst Review
The adaptive learning market segmentation, based on application, includes carbon footprint management, green building, water purification, water leak detection, fire detection, soil condition/moisture monitoring, crop monitoring, forest monitoring, weather monitoring & forecasting, air & water pollution monitoring, and sustainable mining & exploration. The forest monitoring category generated the most income (70.4%) due to the rising adoption of adaptive learning platforms by forest monitoring to improve learning outcomes. However, water leak detection is the fastest-growing category due to the increasing need for services with the rising adoption of adaptive learning platforms. Consulting, maintenance, installation, and support programs are among the services delivered by adaptive learning service providers.
Adaptive Learning Regional Insights
By region, the study delivers market insights into North America, Europe, Asia-Pacific and the Rest of the World. The North American adaptive learning market will dominate due to growing institutional collaborations with digital education providers and collaborations among governments of different countries. The increasing need to improve the skills of employees and the technicalities of learners across companies will boost the market growth in this region. Further, the US adaptive learning market held the largest market share, and the Canadian adaptive learning market was the fastest-growing market in the North American region.
Further, the major countries studied in the market report are The US, Canada, German, France, the UK, Italy, Spain, China, Japan, India, Australia, South Korea, and Brazil.
Figure 3: ADAPTIVE LEARNING MARKET SHARE BY REGION 2022 (USD Billion)
Source: Secondary Research, MRFR Database, Primary Research, and Analyst Review
Europe's adaptive learning market accounts for the second-largest market share due to increasing government initiatives in countries in the region to enhance learning outcomes by delivering adaptive learning platforms and services to educational institutions. Further, the German adaptive learning market held the largest market share, and the UK adaptive learning market was the fastest-growing market in the European region.
The Asia-Pacific adaptive learning market is expected to grow fastest from 2023 to 2032. This is due to increasing strategic alliances by major market players with solutions development companies in this region. Moreover, China’s adaptive learning market held the largest market share, and the Indian adaptive learning market was the fastest-growing market in the Asia-Pacific region.
Leading market players are investing heavily in research and development to expand their product lines, which will help the adaptive learning market grow even more. Market participants are also undertaking several strategic activities to grow their footprint, with important market developments including new product launches, contractual agreements, mergers and acquisitions, higher investments, and collaboration with other organizations. To expand and survive in a more competitive and rising market climate, the adaptive learning industry must offer cost-effective items.
Manufacturing locally to minimize operational costs is one of the key business tactics manufacturers use in the adaptive learning industry to benefit clients and increase the market sector. Major players in the adaptive learning market, including General Mills Inc., Amway, Conagra Brands Inc., Cargill Incorporated, Abbott Laboratories, Kraft Foods Group Inc., and others, are attempting to expand market demand by investing in research and development operations.
Pearson plc provides educational materials and learning technologies. The company delivers educational courseware, assessments, and digital services. It publishes across the curriculum, delivers a range of education services, such as teacher development, educational software, and system-wide solutions, and owns and operates schools and colleges. Pearson also offers services and content, administration, and processing to teacher development and school software, and test processing, development, and scoring services to governments, corporations, educational institutions, and professional bodies. In January 2020, Pearson plc acquired Smart Sparrow Pty Limited. This acquisition will expand Pearson's capabilities for adaptive learning services and platforms and boost the revenue growth of Pearson Learning Programme (GLP).
McGraw-Hill Education Inc provides learning solutions, digital learning tools and platforms and curated content to students, instructors, professionals and institutions. The company offers personalized digital publishing solutions, which enable instructors to customize the content to their requirements. McGraw-Hill also offers adaptive learning solutions that harness proprietary content and technology to provide personalized learning experiences to higher education students. The company partners with educators and authors in various fields of study who contribute to its proprietary content. In February 2020, McGraw-Hill signed an arrangement with Proctorio. McGraw-Hill will utilize the remote proctoring and browser locking capabilities of Proctorio for assessments in its McGraw-Hill Connect Digital Learning Platform.
McGraw-Hill (US)
Pearson (UK)
Curriculum Associates (UK)
Istation (US)
Area9 Lyceum (US)
ScootPad (US)
CogBooks (UK)
VitalSource (US)
DreamBox (US)
Fulcrum Labs (US)
Impelsys (US)
Mathspace (Australia)
Knowre (US)
Follett (US)
Imagine Learning (US)
Cerego (US)
Realizeit (US)
K12 (US)
Houghton Mifflin Harcourt (US)
By February 2023, DreamBox Learning, Inc. had announced the launch of DreamBox Reading Park, which is an extension of its reading solutions for Pre-K-2 students in the United States. With this launch, DreamBox expands its proprietary adaptive platform into the domain of PreK-2 readers by providing personalized learning journeys that continuously adapt to each interaction. This adaptive learning experience happens seamlessly within and between lessons, creating a fun and engaging educational environment.
Meanwhile, Reva University in Bangalore, Karnataka has unveiled its plans for AI assisted adaptive learning across various courses namely engineering, humanities and languages. The university hopes artificial intelligence will help it tailor educational programs to individual learners hence improving efficiency and preparing students for changing job markets.
In March 2021, as they were forced to shift from tablet-based learning, Noida-based edtech startup ConveGenius scaled from half a million students to 10 million using WhatsApp chatbot-assisted learning during the pandemic.
McGraw-Hill signed an agreement with Proctorio in Feb 2020 who are providers of the learning integrity platform. For McGraw-Hill Connect Digital Learning Platform’s assessments, McGraw-Hill shall be using remote proctoring features combined with browser locking capabilities provided by Proctorio. These services are initially going to be offered for college courses starting from Fall 2020.
Pearson acquired Smart Sparrow in January 2020 for around USD25m as an adaptive learning platform provider so as to improve their position in the market for such products among other things; this acquisition will also expedite Pearson's Global Learning Programme (GLP).
Curriculum Associates upgraded i-Ready and Ready solutions in August 2019. The company integrated learning games with i-ready and ready products.K-5 classroom mathematics related games were included to help learners practice math concepts. For grade K-5 students these enhancements aim at motivating and inspiring them to develop their knowledge in mathematics.
Wiley purchased Knewton in May 2019 as an adaptive learning platform provider, acquiring its content on offer for users in the market and enhancing its competence in the adaptive learning market. The majority of Knewton’s target customers include those from K-12 and higher education institutions.
Boulder Learning has entered into partnership with Istation in August 2018.The partnership was centered on oral reading and listening program that assesses how accurately, fluently or with expression students read. It also involved incorporation by Istation of Boulder Learning's Fluent Oral Reading Assessment (FLORA), a speech-recognition and assessment product, into its Oral Reading Fluency (ORF) assessment program.
Internet of Things (IoT)
Artificial Intelligence (Al) & Analytics
Digital Twin
Cloud Computing
Security
Blockchain
Carbon Footprint Management
Green Building
Water Purification
Water Leak Detection
Fire Detection
Soil Condition/Moisture Monitoring
Crop Monitoring
Forest Monitoring
Weather Monitoring & Forecasting
Air & Water Pollution Monitoring
Sustainable Mining & Exploration
US
Canada
Germany
France
UK
Italy
Spain
Rest of Europe
China
Japan
India
Australia
South Korea
Australia
Rest of Asia-Pacific
Middle East
Africa
Latin America
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