Education and learning analytical techniques help organizations better understand when their learning programs drive the desired business outcomes and improve the productivity of employees. These techniques also help to prioritize learning programs that lead to desired outcomes and eliminate programs that waste time and money on the organization. Over the last few years, learning analytics strategies have gained considerable popularity in the areas of corporate learning & growth. As a result, many organizations are developing solutions that meet the rising needs of the enterprise sector for learning analytics. For example, Blackboard, Inc., along with K-12 schools & colleges, created learning strategies for employers & communities to help them shift their approach to training & education. It is expected that harnessing the increased use of 3D animation techniques for greater clarification & visualization of the topic at hand would improve the efficacy of learning analytics tools under the current market conditions. For example, Alteryx, Inc. launched Visualytics, an immersive update to the Alteryx analytics platform at the company. The enhancement makes the graphical representation of knowledge easy to implement through the Alteryx framework. The enhanced data visualization with the aid of charts & graphs helps to optimize the efficacy of business-critical models for data scientists. Successful implementation of analytics software depends on expert data scientists being present, which is not universal across the globe. Nonetheless, an increase in job opportunities for data scientists with relevant skills in the education and business sectors is expected to be seen in the near future as a direct result of the increasing demand for such solutions. As analytical tools process massive chunks of data, stringent privacy regulations and requirements enforced by federal agencies are expected to threaten to some degree market growth.

The global education and learning analytical market have been segmented on the basis of type, deployment, component, end-user, and region. Based on type, the global education and learning analytical market is categorized into descriptive, predictive, prescriptive. On the basis of deployment, the global education and learning analytical market is segmented into cloud and on-premise. Based on end use, the market for education and learning analytics has been segmented into academics and enterprise sectors.

Based on component, the analytics market for education and learning is segmented into applications and services. The software segment represented a substantial market share for 2018 and is expected to retain its dominance over the forecast period. Intensive rivalry among leading players is expected to contribute to the growth of this segment along with growing investment in R&D activities to enhance their software offerings. High demand for education and learning analytics tools is also expected to contribute to the segment's growth prospects in both the education and business sectors.

Significant growth is expected in the services sector, with a CAGR exhibiting over 18 per cent over the next six years. This sector is further segmented into managed and technical services; a bigger share of revenue was captured by the professional services sector in 2018. Demand for services such as consultancy, support and maintenance is expected to be experiencing high growth in the near future due to the growing number of small and medium-sized businesses. Such companies use analytics to provide their staff as well as consumers with quality information.

On the basis of type, features such as monitoring Returns on Investment (RoI), solving performance problems and measuring learner output through constructive feedback contribute to a strong demand for concise education & learning analytics. Decision-makers in the business sector use descriptive metrics that are collected for analyzing comparisons between two or more organizations across a wide range of historical data. It allows companies to gain a holistic view of patterns and results in order to streamline business planning.

While predictive learning analytics are used across various industries to detect and analyze trends in learning data and predict future behaviors, the predictive segment is expected to experience significant growth. For example, websites for air ticket reservations use predictive analytics technology to make ticket price changes based on past travel booking patterns. In addition, the increasing demand for personalized communications services, real-time analysis and the increase in cybercrime concerns are expected to contribute to this segment's growth over the forecast period.

Based on deployment, the market for education and learning analytics has been divided into the cloud and on-premise. In 2018 cloud delivery emerged as the dominant category, with companies’ increasingly choosing cloud- analytics services. This is due to the cloud platform's advantages, such as low cost of implementation, optimized performance, tailored services and flexibility. Simpler & efficient data processing methods, vast storage, and simple inter-project switching also facilitate the adoption of cloud-based training & learning analytics solutions.

Compared to cloud deployment, the on-site section provides more information security & privacy. However, the mounting cost of installing the on-premise learning analytics model limits this segment's development. However, the enterprise sector benefits through on-premise deployment due to its high efficiency in data extraction, where data can be extracted from separate databases and compiled together for a specific purpose.

Based on End-User, the education and learning analytics market has been divided into the business and academic sectors. The business segment was the market leader in 2018 and is expected to have a high growth over the forecast period as well. The adoption of these solutions is expected to see high growth in the banking sector, mainly due to the growing use of core banking systems that determine digital credit for customers based on their profile.

Learning analytics & related metrics show a person or group of people the learning abilities. These techniques require access to interactive and easy-to-analyze learner's live statistics and focus more on areas of improvement. Growing awareness of these advantages is expected to push the academia sector's adoption of these analytics techniques in the near future.

The global education and learning analytics market is cumulative to North America, Europe, Asia Pacific, Latin America and Middle East & Africa. The regional North American market held a leading role in 2018 and was estimated at over USD 6 billion. Regional market dominance is due to the early adoption of cutting-edge innovations. Additional factors such as the high number of foreign students to study in the area and the use of enterprise-sector learning software are expected to boost regional market growth.

Due to the growing popularity of learning analytics solutions among prominent educational institutes in the UK, Germany, France and Switzerland, the market in Europe is poised for steady growth over the forecast period. The Asia Pacific market is expected to experience the fastest growth over the forecast era, with an estimated CAGR of over 20 percent. In countries like India, China and Japan, the enterprise sector, mainly the telecommunication & IT and e-commerce industries is anticipated to be a basic adopter of a broad range of education & learning analytics solutions.