The rise in remote learning during the pandemic and the demand for affordable, practical learning systems have a beneficial impact on the market's expansion. The increased usage of AI and machine learning in digital learning systems also contributes to the market's expansion internationally. Yet problems like the absence of face-to-face contacts in digital learning systems and the requirement for stronger self-motivation restrict the growth of the digital learning market. On the other hand, throughout the forecast period, it is anticipated that the advent of numerous trends, including micro-learning, gamification, adoptive learning, and mobile learning, would provide lucrative chances for the market's growth.
RECESSION IMPACT
The demand for and supply of digital learning products and services can both be impacted by a recession, which can have a considerable effect on the market for digital learning. There may be less money available for education and training during a recession for both individuals and companies. As a result, people might choose digital learning as a less expensive option to conventional face-to-face learning. Furthermore, during a recession, funding for digital learning initiatives may be less readily available for educational institutions and companies to invest. This might delay down the creation and uptake of fresh digital learning tools and services.
DRIVING FACTORS
Increased Usage of AI and Machine Learning in Digital Learning to Spur Market Expansion
Since AI and machine learning allow for tailored information based on each student's prior knowledge and offer a one-size-fits-all solution, their use has increased across digital learning systems. Additionally, by utilising AI and ML, it is feasible to swiftly analyse enormous volumes of data and uncover patterns and trends in order to continuously optimise and improve learning experiences. Additionally, it makes the process of creating courses much easier, quicker, and more flexible without compromising quality. For instance, the digital learning production process has been improved by the automatic translation and localization capability, which offers more speed and efficiency. Furthermore, it is now possible to create multi-language content for multinational corporations that must provide relevant material for branches in other countries or for the scenario that is becoming more typical: businesses operating with remote staff that speak different languages. Hence, the market is anticipated to benefit from the expansion in the number of such advancements.
RESTRAINING FACTORS
Technical Issues and Increased Screen Time are Limiting the Adoption of Digital Learning
Although the number of people using the internet has increased dramatically over the past few years, it can be difficult to get a reliable connection with a fast enough speed in smaller cities and towns. There could not be as much continuity in learning if students or teachers don't have a reliable internet connection. The educational process will suffer because of this. As a result, even though online learning is convenient, students still require a strong internet connection. Furthermore, a lot of parents worry about the health risks associated with exposing their kids to prolonged screen time. One of the main issues and drawbacks of digital learning is the rise in screen time in the digital learning sector.
SEGMENTATION
By Provider
Based on provider, the digital learning market is segmented into content provider and service provider. The content provider category dominated the market in 2022. In contrast to service providers, who offer a variety of technology-enabled learning support services like learning management systems (LMS) and educational technology consultancy, content providers produce and distribute digital learning materials. High-quality online courses, interactive simulations, and films are just a few examples of the types of digital learning content that content creators concentrate on producing and disseminating. To provide content that is specifically suited to the needs of learners, they frequently collaborate with academic institutions or individual instructors. A variety of services, including teacher training, online tests, and analytics to gauge student progress and interest, may also be provided by content suppliers to complement their products.
By Deployment Model
Based on deployment model, the digital learning market is segmented into on-premise and cloud. The cloud category dominated the market in 2022 because of their flexible and affordable training methods for pupils. Students can access information whenever and wherever they choose thanks to the integration of cloud technology in digital learning. Educational institutions can also create a virtual environment for students and teachers due to the cloud computing-based digital learning technologies. As a result, cloud computing is widely used in the education industry, which is anticipated to contribute to strong segment growth.
By Course
Based on course, the digital learning market is segmented into primary and secondary education, higher education, online certification and professional course, and test preparation. The primary and secondary education category dominated the market in 2022 due to the increased use of digital learning techniques in primary schools, particularly in the wake of the COVID situation, as well as the widespread use of online K–12 education providers. Moreover, digital gadgets, like smartphones, have developed into an engaging learning tool used to enhance the quality of education and digital learning in remote education.
By End User
Based on end-user, the digital learning market is segmented into academic, corporate and government. The academic settings category dominated the market in 2022. By sharing data, audio, and video across mobile and other devices, academic end users on the market facilitate the processes of learning and teaching. This promotes mobility, interaction, and in-the-moment instruction, which streamlines the educational process. The youthful generation is using smartphones and other smart devices much more frequently, which is helping the market for digital learning among academic users expand.
REGIONAL INSIGHTS
North America is projected to hold the largest share of the digital learning market over the forecast period. The market is flourishing as a result of the growing trend of using online courses and learning resources as a workable replacement for conventional classroom training. This is promoting the development and adoption of digital learning solutions in various sectors. The major elements anticipated to propel market expansion in terms of user base and subscriptions are the high average disposable income in the region, the rapid proliferation of smartphones, and the breakthroughs in the development of interactive and gamified learning platforms. On the other hand, the Asia Pacific digital learning market is anticipated to grow significantly. The growing urbanisation and rising smartphone penetration are expected to have an impact on the APAC digital learning market. It raises the likelihood that users will utilise these devices to access learning resources and instructional materials, ultimately resulting in a larger potential user-base for manufacturers to target.
LIST OF KEY COMPANIES PROFILED:
- Adobe, Inc.
- Apollo Education Group, Inc.
- Aptara Inc.
- Articulate Global, LLC
- Baidu Inc
- Blackboard Inc.
- CERTPOINT
- Cisco Systems, Inc.
- Citrix Systems, Inc.
- D2L Corporation
- Google LLC
- Microsoft Corporation
- Oracle Corporation
- SAP SE
- In 2022, CoSo Cloud intended to join the Adobe Experience Manager Solution Partner Program and invest a third amount in Adobe Learning services. For high-impact digital training and learning, CoSo Cloud offers secure private-cloud managed services, specialised professional services, and tailored software programmes.
| Attributes | Details |
| Market Size in 2022 | USD 145.2 Billion |
| Market Forecast in 2030 | USD 376.3 Billion |
| Compound Annual Growth Rate | 17.20 % |
| Unit | Revenue (USD Million) and Volume (Kilo Tons) |
| Segmentation | By Provider, By Deployment Model, By Course, By End-User and By Geography |
| By Provider |
|
| By Deployment Model |
|
| By Course |
|
| By End-User |
|
| By Region |
|
| Base Year | 2022 |
| Historical Year | 2016-2021 |
| Forecast Year | 2023-2030 |
