The global microlearning market was worth USD 2.26 billion in 2023. The global market is projected to reach USD 2.55 billion in 2024 and USD 6.78 billion by 2032, growing at a CAGR of 13% during the forecast period.
Microlearning is the process of dividing employee training into small pieces. The goal is to increase short courses that are easy to learn and quickly applied to employees. It provides additional advantages like smart device access, just-in-time learning, actionable data, etc. Microlearning is used in various industries to support a multitude of training applications. This training is best used when a student needs the information or is most receptive to receiving the information.
The high demand for training by the high volume of workers in different companies in various industries also acts as a growth driver. A profitable learning method that increases the preference levels of companies to participate in this training method should improve the adoption rate of this method.
Microlearning in the manufacturing industry and logistics focuses on increasing efficiency, improving quality, and complying with safety policies. Qualified technicians can significantly improve the efficiency of manufacturing and logistics activities and the quality of the final product. By leveraging microlearning, employees can study content while staying on the job site, increasing the business's overall productivity. Technicians, factory workers, drivers, and other staff use training courses to align themselves with machines, processes, and compliance quickly.
The on-premise implementation of the microlearning solution will be deployed on the client's server, which the user has to buy to use. It is also customizable. Configuration and maintenance are performed by the buyer's internal IT staff, who have complete control over the microlearning solution. The local microlearning solution allows companies to create, store, and provide critical data and control access to training programs. However, the share of the on-site microlearning implementations is declining due to their high initial investment and a need for long-term commitment. This kind of implementation is employed by firms that require continuous availability of a learning system to improve the results of a business activity. With the deployment of a local microlearning solution, companies have better control over the investments made to configure the infrastructure, as this reduces the total cost of the network.
Concerns about companies' lack of preference for incurring large-scale expenses to transform the content of microlearning methods are supposed to hinder market growth. This method is generally not preferred or supported for complex training modules or modules requiring a long-term training period, which impedes business growth. It is not ideal for long-term goals of improving business performance, as it is a set of different modules and training sets that only train workers for a single brief topic, which may slow down the growth of this market.
REPORT METRIC |
DETAILS |
Market Size Available |
2023 to 2032 |
Base Year |
2023 |
Forecast Period |
2024 to 2032 |
CAGR |
13% |
Segments Covered |
By Component, Deployment, Organization Size, Vertical, and Region |
Various Analyses Covered |
Global, Regional & Country Level Analysis, Segment-Level Analysis, DROC, PESTLE Analysis, Porter’s Five Forces Analysis, Competitive Landscape, Analyst Overview on Investment Opportunities |
Regions Covered |
North America, Europe, APAC, Latin America, Middle East & Africa |
Market Leaders Profiled |
Saba Software, Mindtree.com, Axonify Inc., IBM Corporation, Bigtincan, SwissVBS,iSpring Solutions Inc., Epignosis, Cornerstone, Qstream Inc.,count5 LLC, pryor.com, GnowbeNeovation Corporation, Multiversity, Trivantis, Aptara Inc., AlertDriving, and Others. |
North America is the most mature market for microlearning adoption and is expected to represent a substantial part of the global microlearning business during the forecast period. The market growth in the area is mainly due to the presence of large information technology companies and rapid technological advances, such as digitization in the United States and Canada. The presence of key players in the region's microlearning market should be an essential factor in developing the market in North America. Key players such as IBM, Saba Software, Bigtincan, and several regional start-ups offer improved microlearning solutions to meet customer needs.
The major companies operating in the global microlearning market include Saba Software, Mindtree.com, Axonify Inc., IBM Corporation, Bigtincan, SwissVBS, iSpring Solutions Inc., Epignosis, Cornerstone, Qstream Inc., count5 LLC, pryor.com, Gnowbe Neovation Corporation, Multiversity, Trivantis, Aptara Inc., AlertDriving and Others.
In May 2020, Qstream, a leader in microlearning software that involves sales teams in mobile sales learning programs, was recognized as the best 2020 training company in the sales training industry. Learning and development.
In January 2020, Cornerstone OnDemand, Inc., announced the acquisition of Cluster. This French technology company has developed an AI-based skills engine and a broad skills ontology used by leading brands, including Carrefour and SNCF.
By Component
The Services continued their advice and implementation, support, and maintenance studies.
By Deployment
The on-premises segment will likely maintain the largest share during the evaluation period.
By Organization Size
By Vertical
By Region
Frequently Asked Questions
The corporate sector is a major contributor, leveraging microlearning to provide targeted training programs for employees. The flexibility, cost-effectiveness, and efficiency of microlearning modules make them ideal for addressing specific skill gaps within organizations.
Industries such as IT and technology, healthcare, and finance have shown the highest adoption rates for microlearning solutions. These sectors benefit from the quick and targeted nature of microlearning for skill enhancement.
AI is increasingly used to personalize microlearning content based on individual learner profiles. It analyzes user interactions to recommend relevant modules and adapts content delivery based on the learner's progress and preferences.
Mobile devices play a pivotal role, with a significant portion of microlearning content consumed on smartphones and tablets. The anytime, anywhere accessibility aligns with the modern learner's preferences, contributing to the widespread adoption of microlearning.
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