The worldwide Education and Learning Analytics market was valued at USD 15.58 billion in 2020 and is expected to grow to USD 60.14 billion by 2033, with a CAGR of 24.0% from 2023 to 2033.
The measuring, gathering, analysis, and reporting of student data to maximize their educational experience is referred to as education and learning analytics. Human-centered design, combines educational research, sociotechnical system thinking, statistics, data sciences, assessment sciences, visualization, and artificial intelligence (AI). In addition to being used by educational institutions to create curricula for students, these tools are also employed by businesses to create plans for hiring, retaining, training, intervening, and managing operations and performance.
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Regional Scope
- North America
- Europe
- APAC
- South America
- Middle East
- Africa
Key Company
- IBM Corporation
- Blackboard Inc.
- D2L Corporation
- McGraw Hill Education
- Turning Point Natural Care Ind
- Oracle Corporation
- Pearson Education
- Saba Software
- SAP SE
- SAS Institute Inc.
- Tableau Software
- Edmentum Inc.
- Civitas Learning Inc.
- Cornerstone OnDemand Inc.
- Alteryx Inc.
- Jenzabar Inc.
Regional Insights
The presence of significant companies and a high rate of adoption of cutting-edge technology in the education sector have made North America the dominant region in the education and learning analytics market. The area has a strong emphasis on delivering high-quality education and has a well-established educational infrastructure, which has raised demand for learning analytics and education solutions. Furthermore, the region’s market is expanding as a result of growing public and private sector expenditures in education and e-learning technology.
Europe has a long history of intellectual distinction and is home to several of the finest institutions in the world. The emphasis on analytics and data-driven decision-making in education has increased recently, and European institutions are following suit.
Market Trend
The market is expected to increase significantly due to the notable expansion of the education sector and the growing use of machine learning (ML) technologies. Accordingly, the market is expanding due to the increasing use of several software-based systems, including learning management systems (LMS), student information systems, virtual learning environments (VLEs), and library management systems.
The emergence of e-learning technologies, including learning management systems, mobile learning devices, lecture recording, and student information systems, has allowed students to become more productive and get more insightful knowledge from traditional educational methods. The industry is expanding as a result of several technical developments, including the creation of digital platforms that allow colleges and universities to compile student data and evaluate their performance. The market is anticipated to be further driven by additional factors, such as the growing awareness of the use of education and learning analytics for creating effective training and learning programs for working professionals and school-age kids.
Market Opportunity
Technological developments and greater accessibility to digital resources have led to the global spread of e-learning, which offers a substantial potential for learning analytics integration. Analytics technologies are becoming more and more necessary to enhance the efficacy of e-learning platforms as more and more educational information is made available online. The increased popularity of online learning platforms has created a demand for analytics systems that monitor and evaluate student interactions in digital settings. Learning analytics can provide details regarding areas for development, the efficacy of the material, and user engagement.
Learning analytics may be used to enhance the online learning experience as a result of the growing reliance on e-learning platforms.
Similar to this, learning analytics are used by adaptive e-learning systems to customize the learning process based on each student’s performance. These systems improve the learning experience by adjusting the difficulty of the content, suggesting individualized resources, and giving instant feedback based on real-time data. Thus, learning analytics in e-learning platforms may produce data-driven insights about the efficacy of instructional content, assessments, and overall course design. Teachers may utilize these data to improve the quality of their online courses, pinpoint areas for development, and adjust the material.
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