Dublin, March 31, 2022 (GLOBE NEWSWIRE) — The “Global Analysis of Big Data in Education Market by Sector, by Application, by Component, by Deployment Mode, by Regional Outlook, Industry Analysis Report and Forecast, 2021-2027” report has been added to from ResearchAndMarkets.com offer.
The global big data analytics in education market size is expected to reach $47.82 billion by 2027, growing at a market growth rate of 20.79% CAGR during the forecast period.
Big data analysis has helped to achieve academic goals and improve students’ learning abilities. Student performance should not be limited to conventional exams and tests alone. With the help of big data analysis, each student’s data can be easily tracked and analyzed to find out their weaknesses, strengths, and response times for different topics, as well as questions they cannot answer. Mentors and teachers can create an environment that allows students to improve their skills by getting feedback and giving feedback, instruction, and extra support to students who need it.
In the education sector, online courses, learning and teaching activities produce a large amount of data. With the right data, teachers can learn about students’ academic performance, provide instant feedback, and identify learning patterns.
COVID-19 Impact Analysis
This pandemic has affected almost every industry, but big data analytics is expected to have a positive impact due to the adoption of digital mode and increased investment in big data analytics by the education sector. This is due to the various restrictions imposed by the governments of various countries, such as lockdown, social distancing norms, closure of all educational institutions, which has resulted in the adoption of a mode of teaching in online by various educational and learning organizations.
Through the adoption of advanced technologies in education, educators and students are connecting with each other in order to acquire knowledge and skills. Teachers use innovative methods to teach their students through audio and visuals. However, this market is estimated to continue to grow even after the pandemic.
Market Growth Factors:
Reduce the risk of student attrition
Big data can be used to predict how many students are likely to drop out of courses in the future. Using big data analytics, educational institutions can assess a student’s performance throughout the year and then predict whether or not they are expected to decline. Moreover, by performing such analysis, educational institutions can also predict the number of students interested in a particular course before introducing it.
Improve the learning procedure
The use of big data analytics in education allows the learner to access more information, which in turn enables them to acquire more knowledge and skills. Moreover, the availability of appropriate data also enables teachers to improve the quality of the reading material they provide and thus helps learners to overcome the problems they face during the learning process. In addition, big data analytics helps students enhance their learning by taking advantage of modules tailored to their needs. These personalized modules should further help learners pay more attention to the particular part they need to learn more and result in higher productivity.
Market Restraint Factor:
Obstacles to the training of teachers and educators
Training teachers and educators to harness big data analytics is one of the major challenges facing educational institutions, because teachers were familiar with the conventional teaching method, it is difficult for them adapt to these advanced technologies. Although big data analytics offers multiple advantages over conventional teaching methods, some educators might not be comfortable with the change in their teaching style. Their reluctance to learn may stem from a strong belief in the techniques and strategies they have developed themselves.
Based on industry, the market is segmented into higher education, K-12, and preschool. The K-12 segment is expected to register a promising growth rate over the forecast period. K-12 schools are preschools that collect a huge amount of data using a predictive model.
Based on application, the market is segmented into skill assessment, behavior detection, course recommendation, student attrition rate detection, and others. Student attrition means the number of dropouts before the end of a particular program. Many educational organizations use big data analytics to get an estimate of student attrition risk to reduce the risk of dropping out of courses.
Based on components, the market is segmented into software and services. The services segment is expected to show the highest growth rate during the forecast period. This is due to the continuous increase in the adoption of big data analytics services in the education sector. These services ensure the effectiveness of big data analytics software and platforms among educational institutions.
Based on deployment mode, the market is segmented into on-premises and cloud. Cloud-based data analysis does not include maintenance and investment costs, it is more accessible to medium-sized educational institutions. These cloud-based big data analytics can be used through various devices and from any location.
Based on regions, the market is segmented into North America, Europe, Asia-Pacific and Latin America, Middle East & Africa. North America has emerged as the leading region in big data analytics in the education market. This is due to the high adoption of digital technologies such as big data analytics and artificial intelligence among educational institutions.
The market research report covers the analysis of major market players. Key companies profiled in the report are IBM Corporation, Oracle Corporation, Microsoft Corporation, Verisk Analytics, Inc., SAP SE, Salesforce.com, Inc., Alteryx, Inc., SAS Institute, Inc., Blackboard, Inc. (Providence Equity Partners) and Tibco Software, Inc. (Vista Equity Partners).
Main topics covered:
Chapter 1. Market Scope and Methodology
Chapter 2. Market Overview
22.214.171.124 Market composition and scenario
2.2 Key Factors Impacting the Market
2.2.1 Market Drivers
2.2.2 Market constraints
Chapter 3. Global Big Data Analytics in Education Market by Sector
3.1 Global Higher Education Market by Region
3.2 Global K-12 Market by Region
3.3 Global Preschool Market by Region
Chapter 4. Global Big Data Analytics in Education Market by Application
4.1 Global Skills Assessment Market by Region
4.2 Global Behavior Detection Market by Region
4.3 Global Course Recommendations Market by Region
4.4 Global Student Attrition Rate Detection Market by Region
4.5 Global Others Market by Region
Chapter 5. Global Big Data Analytics in Education Market by Component
5.1 Global Software Market by Region
5.2 Global Services Market by Region
Chapter 6. Global Big Data Analytics in Education Market by Deployment Mode
6.1 Global On-premises Market by Region
6.2 Global Cloud Market by Region
Chapter 7. Global Big Data Analytics in Education Market by Region
Chapter 8. Business Profiles
8.1 IBM Corporation
8.1.1 Company Overview
8.1.2 Financial analysis
8.1.3 Regional and sectoral analysis
8.1.4 Research & Development expenses
8.1.5 SWOT Analysis
8.2 Oracle Corporation
8.2.1 Company Overview
8.2.2 Financial analysis
8.2.3 Sectoral and regional analysis
8.2.4 Research and development costs
8.2.5 SWOT analysis
8.3 Microsoft Corporation
8.3.1 Company Overview
8.3.2 Financial analysis
8.3.3 Sectoral and regional analysis
8.3.4 Research & Development expenses
8.3.5 Strategies and recent developments:
126.96.36.199 Partnerships, collaborations and agreements:
188.8.131.52 Acquisitions and mergers:
8.3.6 SWOT Analysis
8.4 Verisk Analytics, Inc.
8.4.1 Company Overview
8.4.2 Financial analysis
8.4.3 Sectoral and regional analysis
8.4.4 Research and development costs
8.5 SAP OS
8.5.1 Company Overview
8.5.2 Financial analysis
8.5.3 Sectoral and regional analysis
8.5.4 Research and development costs
8.5.5 Strategies and recent developments:
184.108.40.206 Partnerships, collaborations and agreements:
8.5.6 SWOT analysis
8.6 Salesforce.com, Inc.
8.6.1 Company Overview
8.6.2 Financial analysis
8.6.3 Regional Analysis
8.6.4 Research and development costs
8.6.5 Strategies and recent developments:
220.127.116.11 Partnerships, collaborations and agreement:
8.6.6 SWOT Analysis
8.7 Alteryx, Inc.
8.7.1 Company Overview
8.7.2 Financial analysis
8.7.3 Regional Analysis
8.7.4 Research and development costs
8.8 SAS Institute, Inc.
8.8.1 Company Overview
8.8.2 Strategies and recent developments:
18.104.22.168 Partnerships, collaborations and agreements:
8.9 Blackboard, Inc. (Providence Equity Partners)
8.9.1 Company Overview
8.9.2 Strategies and recent developments:
22.214.171.124 Acquisitions and mergers:
126.96.36.199 Product launches and product extensions:
8.10. Tibco Software, Inc. (Vista Equity Partners)
8.10.1 Company Overview
8.10.2 Strategies and recent developments:
188.8.131.52 Partnerships, collaborations and agreements:
For more information on this report, visit https://www.researchandmarkets.com/r/7grxc7
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