GLOBAL HIGH PERFORMANCE DATA ANALYSIS (2023 - 2030)

As per our research report, the global High-Performance Data Analysis (HPDA) in the Education market size is estimated to reach USD 47.8 billion by 2030 and is projected to grow at a CAGR of 20.7% from 2023 - 2030.

Industry Overview:

High-performance data analytics (HPDA) employs data analytics in conjunction with high-performance computing to uncover patterns and insights. AI and analytics demand incredibly strong networking, storage, and computation systems. As a result, more businesses are turning to HPC solutions to boost productivity and innovation utilizing AI. HPC and data analytics are combined in high-performance data analytics. The method makes use of HPC's parallel processing capabilities to execute potent analytical applications at rates greater than a teraflop. This method makes it feasible to quickly review enormous data sets and make judgments regarding the information they contain. Achieving academic objectives and enhancing students' learning abilities are now both attainable owing to big data analytics. Big data analytics allows for easy tracking and analysis of each student's data to identify their areas of strength and weakness as well as how quickly they can respond to questions across a variety of subjects. By providing feedback, education, and further support to the students who require it, mentors and teachers may foster an environment where students can develop their talents. The advanced analytics-enabled supercomputers are powerful, dynamic systems designed to handle sophisticated queries, numerous variables, and time-sensitive demands. Online courses, learning, and teaching activities generate a lot of data in the education sector. With the right information, teachers can assess students' academic performance, give immediate feedback, and identify learning trends. The capacity of strong high-performance computing (HPC) systems to process data at greater resolutions and the spread of open source frameworks (Hadoop) for big data analytics are two key factors driving the growth of the high data performance analytics industry. The numerous advantages offered by big data in the education sector, the rise in internet usage, the rising demand for better administrative services, and the desire to lower education expenses are the main drivers influencing the growth of HPDA in the education market.

COVID-19 pandemic impact on High-Performance Data Analysis (HPDA) in Education Market

Nearly all businesses have been impacted by COVID-19, but big data analytics is anticipated to have a beneficial effect due to the adoption of digital mode and greater investment in big data analytics by the education sector. This is due to the many restrictions put in place by governments from different countries, such as lockdown, social distance standards, and the closure of all educational institutions, which caused many educational bodies and students to embrace an online mode of instruction. The market's expansion is also being accelerated by the growing demand for cloud-based big data technology among educational institutions.

MARKET DRIVERS:

High-Performance Data Analysis uses real-time data to increase business operations' effectiveness and promotes student engagement

Big data analytics is essential to the education sector because it helps educational institutions become more effective by enabling quicker decision-making and by giving them a competitive edge through immediate information analysis and action. In addition, several educational institutions are implementing big data analytics for real-time forecasting and monitoring of numerous events to improve student and institution performance. Additionally, via the use of real-time data, big data analytics enables educational institutions to increase the effectiveness of corporate operations and promote student involvement. Big data analytics is additionally used by a variety of decision-makers to enhance educational institutions' decision-making abilities and maximize sales methods. The use of big data analytics in education gives students access to additional information, allowing them to increase their knowledge and skill set. Additionally, having access to relevant data enables educators to raise the caliber of the reading materials they offer, which aids students in overcoming challenges they encounter during the learning process. Furthermore, by making use of modules that are specifically tailored to their needs, big data analytics aids students in improving their learning.

The market is being driven by an increase in the adoption of automation, IoT, cloud-based learning analytics solutions

Technology, infrastructure, analytical tools, and procedures are combined in cloud analytics to assist clients in obtaining critical data from a sizable dataset. Additionally, cloud-based analytics assist educational institutions in lowering their overhead expenses, including those related to infrastructure and storage. Additionally, it provides education institutions with enhanced security and protects vital organizational data, both of which are projected to present profitable opportunities for market expansion. Furthermore, cloud computing aids educational institutions in the analysis of sizable datasets and the development of their analytics capabilities, which is projected to boost demand for cloud computing. The government's plans to boost digitization in the education sector and the widespread adoption of connected devices in educational institutions are expected to create new opportunities. Automation expansion and IoT acquisitions are poised to drive demand for connected devices. The amount of data that enterprises typically generate as a result is anticipated to rise. The need for sophisticated analysis tools is predicted to expand as data rates rise.

MARKET RESTRAINTS:

High investment costs and the difficulty of obtaining funding for research development for the invention of computational tools may restrain the market growth.

Key obstacles for market participants include the high costs associated with developing HDPA solutions, the absence of sponsorship for R&D initiatives, and the programming complexity of HDPA brought on by the extensive parallelization. In several economies, there are also stringent laws governing data handling, which is a major factor that could restrain the market's expansion.

Training challenges for educators and teachers could impede industry expansion

One of the biggest issues facing educational institutions is preparing instructors and educators to use big data analytics. Since teachers are familiar with the traditional methods of instruction, it can be challenging for them to adjust to new cutting-edge technology. Even though big data analytics has many advantages over traditional teaching methods, some educators might not feel comfortable changing their pedagogy style. They could be reluctant to learn because they have a strong faith in the methods and tactics they have created for themselves.

This research report on the High-Performance Data Analysis (HPDA) in the Education market has been segmented based on component, deployment, application, and region.

High-Performance Data Analysis (HPDA) in Education Market – By Component

• Hardware
• Software
• Services
  • Managed services
  • Professional services
    • Consulting Services
    • Education and training
    • Support and maintenance

Based on Component, the HPDA in the Education market is categorized into Software, Hardware, and Services. The service sector is anticipated to grow at the fastest rate during the forecast period. It is because the usage of big data analytics services in the educational sector has been steadily rising. These services guarantee that platforms and tools for big data analytics are effective in educational institutions. Extremely massive data sets are quickly analyzed in high-performance data analytics to uncover insights. This is accomplished by using high-performance computing's parallel processing to run potent analytic software.

High-Performance Data Analysis (HPDA) in Education Market – By Deployment

• On-premises
• Cloud

Based on Deployment Mode, the HPDA in the Education market is categorized into On-premise and Cloud. Cloud-based data analytics is more affordable for middle-sized educational institutions as maintenance and capital costs are not a part of it. These big data analytics on the cloud can be used from any location and on any device. The majority of data in the internet era is semi-structured and must be customized to meet organizational demands. Predictive and prescriptive analytics can be applied to such data quickly and accurately.

High-Performance Data Analysis (HPDA) in Education Market – By Application

• Behavior Detection
• Skill Assessment
• Student Attrition Rate Detection
• Course Recommendation
• Others
• Based on Applications, the HPDA in the Education market is categorized into Skill Assessment, Student Attrition Rate Detection Course Recommendation, Behavior Detection, and Others. The term "student attrition" refers to the number of students who leave a program before it is finished. To lower the danger of course dropout, several educational institutions use big data analytics to estimate the attrition risk of the students. Educational institutions can assess a student's performance over an entire year and then forecast whether or not they are likely to drop out by employing big data analytics. Additionally, educational institutions can forecast the number of students who will be interested in a certain course before it is offered by performing such an analysis.

High-Performance Data Analysis (HPDA) in Education Market - By Region:

• North America
• Europe
• Asia-Pacific
• Rest of the World

The North American region dominates the market in terms of demand due to the existence of significant competitors. A few of the factors propelling the regional market growth include the high investment rate for research and development capabilities, the existence of active collaboration among various enterprises, and the expanding applications of HPDA in sectors like healthcare, academic research, media, and entertainment. The Asia-Pacific High-Performance Data Analysis (HPDA) in Education Market is anticipated to grow at the fastest rate during the forecast period due to the high concentration of small and medium-sized businesses operating in cloud-based applications in the Asia-Pacific region, particularly in nations like India and China.

Major Key Players in the Market

The major players in the global High-Performance Data Analysis (HPDA) in Education Market are IBM Corporation, Microsoft Corporation, SAP SE, Oracle Corporation, Alteryx, Inc.,  Verisk Analytics, Inc., Salesforce.com, Inc., SAS Institute, Inc., Red Hat Inc., Blackboard, Inc. and Tibco Software, Inc.

Notable happenings in the High-Performance Data Analysis (HPDA) in Education Market in the recent past:

Product Launch- In February 2019, Intel expanded its offerings aimed at its new applications due to the dramatically increased use of Python in high-performance computing applications. High-performance Python now supports machine learning and data analytics in addition to numerical and scientific computing due to the most recent versions of Intel Distribution for Python, which are part of Intel Parallel Studio XE 2019.