Database is provided by ASL Marketing and covers the United States of America. With ASL Marketing Reaching GenZ has never been easier. Current high school student data customized by: Class year Date of Birth Gender GPA Geo Household Income Ethnicity Hobbies College-bound Interests College Intent Email

Student data is a wide collection of contact details about students. Also, it includes personal info like name, address, and other important info. Furthermore, our student data is essential for you if you want to access it. Thus, you can use this for schools and educational institutions to keep track of entire student information. Yet, this database can make your business marketing more profitable. Similarly, it is a great way to get in touch with the right audience you target. We assure you that it can develop your specific business in a very short time. So, buy this database to get huge benefits and achieve your goals. Student number database encompasses a comprehensive collection of contact details about students. Moreover, it includes essential personal information such as names, addresses, and other crucial data points. Furthermore, access to our Student Number Database is crucial for educational institutions to effectively manage student information and streamline administrative processes. This database can also significantly enhance the profitability of your business marketing endeavors. It provides a valuable resource for identifying and connecting with your target audience. By leveraging this data, you can effectively reach out to potential customers within the student demographic, fostering growth and achieving your business objectives. At List To Data, we encourage you to acquire our database to unlock its substantial benefits and propel your business toward success.

Student Information System Market is Segmented by Type (Solutions and Services), End-User (K-12 Education and Higher Education), Deployment Mode (On-Premise and Cloud), Institution Size (≤5, 000 Students (Small), 5, 001-20, 000 Students (Medium), and >20, 000 Students (Large)), and Geography. The Market Forecasts are Provided in Terms of Value (USD).

If this Data Set is useful, and upvote is appreciated. This data approach student achievement in secondary education of two Portuguese schools. The data attributes include student grades, demographic, social and school related features) and it was collected by using school reports and questionnaires. Two datasets are provided regarding the performance in two distinct subjects: Mathematics (mat) and Portuguese language (por). In [Cortez and Silva, 2008], the two datasets were modeled under binary/five-level classification and regression tasks. Important note: the target attribute G3 has a strong correlation with attributes G2 and G1. This occurs because G3 is the final year grade (issued at the 3rd period), while G1 and G2 correspond to the 1st and 2nd-period grades. It is more difficult to predict G3 without G2 and G1, but such prediction is much more useful (see paper source for more details).

Student Information System Market Outlook

The global Student Information System (SIS) market is anticipated to grow significantly, exhibiting a strong Compound Annual Growth Rate (CAGR) of 12.5% from 2024 to 2032. In 2023, the market size was valued at approximately USD 8.3 billion and is projected to reach an impressive USD 21.5 billion by 2032. The primary growth factors driving this market include the increasing digitization of educational institutions, the growing demand for efficient management of student data, and the rising adoption of cloud-based solutions. Additionally, the continuous advancements in technology and the increasing emphasis on enhancing the quality of education are further fueling the growth of the SIS market.

One of the foremost growth drivers for the Student Information System market is the rapid digitization across educational institutions worldwide. As schools and universities increasingly transition towards digital platforms for various functions, the demand for sophisticated student information management systems has surged. These systems enable educational institutions to streamline administrative processes, improve communication between stakeholders, and provide enhanced access to information, thus increasing operational efficiency. Moreover, the integration of such systems with other educational technologies, such as Learning Management Systems (LMS), aids in creating a comprehensive educational ecosystem that supports both students and educators.

Another significant factor contributing to the market's growth is the increasing focus on data-driven decision-making in the education sector. Educational institutions are increasingly recognizing the value of leveraging data analytics to enhance academic performance, improve student retention, and optimize resource allocation. Student Information Systems offer powerful tools for data collection and analysis, providing educators and administrators with actionable insights into student performance, attendance trends, and other critical metrics. This data-driven approach not only enhances the learning experience but also supports personalized education plans, thereby meeting the individual needs of students more effectively.

The rising adoption of cloud-based solutions in the education sector is also playing a crucial role in the expansion of the Student Information System market. Cloud deployment offers numerous advantages, including reduced IT infrastructure costs, enhanced scalability, and improved accessibility to information. Cloud-based SIS platforms enable institutions to manage student data more efficiently, offering seamless access to information from anywhere at any time. This flexibility is particularly beneficial for institutions with multiple campuses or a large number of students. Furthermore, the integration of artificial intelligence and machine learning technologies in these cloud-based systems is expected to provide additional growth opportunities, enabling institutions to predict trends and make informed decisions.

In the realm of educational technology, School ERP systems have emerged as a pivotal tool for managing various administrative tasks within educational institutions. These systems integrate multiple functions such as student enrollment, attendance tracking, and grading into a single platform, thereby streamlining operations and enhancing efficiency. By providing a centralized database, School ERP solutions facilitate better communication among teachers, students, and parents, ensuring that all stakeholders are informed and engaged. Furthermore, the adoption of School ERP systems supports data-driven decision-making, enabling institutions to analyze trends and optimize resource allocation effectively. As educational institutions continue to embrace digital transformation, the demand for comprehensive School ERP solutions is expected to grow, offering significant opportunities for providers in this market.

From a regional perspective, North America is expected to maintain its dominance in the Student Information System market, owing to the early adoption of advanced technologies and strong government support for educational innovations. The presence of a large number of established educational institutions and technology providers also contributes to the region's market leadership. Meanwhile, the Asia Pacific region is anticipated to exhibit the highest growth rate during the forecast period, driven by the increasing government initiatives to modernize education systems, growing investments in ed-tech, and the rising adopti

A little paragraph from one real dataset, with a few little changes to protect students' private information. Permissions are given.

Goals

You are going to help teachers with only the data: 1. Prediction: To tell what makes a brilliant student who can apply for a graduate school, whether abroad or not. 2. Application: To help those who fails to apply for a graduate school with advice in job searching.

Tips

1. Educational data may have subtle structures, hierarchies and heterogeneity are probably involved. Simple regressions can hardly make any difference. Also, you should keep an eye on the collinearity in some indicators collected by teachers who have already forgot statistics.
2. Not all students are free to choose to apply for a graduate school, but some were born with privileges.
3. Some of the students are trying (or planning to try) to apply for a graduate school for years, you should be responsible to give advice accurately under their circumstances

About the Data

Some of the original structure are deleted or censored. For those are left: Basic data like: - ID - class: categorical, initially students were divided into 2 classes, yet teachers suspect that of different classes students may performance significant differently. - gender - race: categorical and censored - GPA: real numbers, float

Some teachers assume that scores of math curriculums can represent one's likelihood perfectly: - Algebra: real numbers, Advanced Algebra - ......

Some assume that background of students can affect their choices and likelihood significantly, which are all censored as: - from1: students' home locations - from2: a probably bad indicator for preference on mathematics - from 3: how did students apply for this university (undergraduate) - from4: a probably bad indicator for family background. 0 with more wealth, 4 with more poverty

The final indicator y: - 0, one fails to apply for the graduate school, who may apply again or search jobs in the future - 1, success, inland - 2, success, abroad

The global Student Information System Market size was estimated at USD 11.29 billion in 2024 and is projected to grow at a CAGR of 20.16% from 2025 to 2034.

Verbal and Quantitative Reasoning GRE scores and percentiles were collected by querying the student database for the appropriate information. Any student records that were missing data such as GRE scores or grade point average were removed from the study before the data were analyzed. The GRE Scores of entering doctoral students from 2007-2012 were collected and analyzed. A total of 528 student records were reviewed. Ninety-six records were removed from the data because of a lack of GRE scores. Thirty-nine of these records belonged to MD/PhD applicants who were not required to take the GRE to be reviewed for admission. Fifty-seven more records were removed because they did not have an admissions committee score in the database. After 2011, the GRE’s scoring system was changed from a scale of 200-800 points per section to 130-170 points per section. As a result, 12 more records were removed because their scores were representative of the new scoring system and therefore were not able to be compared to the older scores based on raw score. After removal of these 96 records from our analyses, a total of 420 student records remained which included students that were currently enrolled, left the doctoral program without a degree, or left the doctoral program with an MS degree. To maintain consistency in the participants, we removed 100 additional records so that our analyses only considered students that had graduated with a doctoral degree. In addition, thirty-nine admissions scores were identified as outliers by statistical analysis software and removed for a final data set of 286 (see Outliers below). Outliers We used the automated ROUT method included in the PRISM software to test the data for the presence of outliers which could skew our data. The false discovery rate for outlier detection (Q) was set to 1%. After removing the 96 students without a GRE score, 432 students were reviewed for the presence of outliers. ROUT detected 39 outliers that were removed before statistical analysis was performed. Sample See detailed description in the Participants section. Linear regression analysis was used to examine potential trends between GRE scores, GRE percentiles, normalized admissions scores or GPA and outcomes between selected student groups. The D’Agostino & Pearson omnibus and Shapiro-Wilk normality tests were used to test for normality regarding outcomes in the sample. The Pearson correlation coefficient was calculated to determine the relationship between GRE scores, GRE percentiles, admissions scores or GPA (undergraduate and graduate) and time to degree. Candidacy exam results were divided into students who either passed or failed the exam. A Mann-Whitney test was then used to test for statistically significant differences between mean GRE scores, percentiles, and undergraduate GPA and candidacy exam results. Other variables were also observed such as gender, race, ethnicity, and citizenship status within the samples. Predictive Metrics. The input variables used in this study were GPA and scores and percentiles of applicants on both the Quantitative and Verbal Reasoning GRE sections. GRE scores and percentiles were examined to normalize variances that could occur between tests. Performance Metrics. The output variables used in the statistical analyses of each data set were either the amount of time it took for each student to earn their doctoral degree, or the student’s candidacy examination result.

Market Size and Drivers: The global cloud-based student information system (SIS) market is projected to reach a valuation of $XX million by 2033, expanding at a remarkable CAGR of XX% from 2025 to 2033. This growth is primarily driven by the increasing adoption of cloud computing in educational institutions due to its scalability, cost-effectiveness, and improved accessibility. Additionally, government initiatives to promote digital transformation in education, rising demand for data analytics to enhance student performance, and the need for streamlined student records management are further propelling market expansion. Trends and Competitive Landscape: The cloud-based SIS market is witnessing a surge in the adoption of cloud-native solutions, providing institutions with increased flexibility, security, and scalability. Key trends also include the integration of data analytics and artificial intelligence (AI) into SIS platforms to optimize student outcomes and provide personalized learning experiences. Major market players include Workday, Oracle, and Ellucian Company L.P., among others, with a diverse range of solutions tailored to different educational institutions' needs. The competitive landscape is characterized by ongoing innovation and the emergence of specialized niche providers catering to specific sectors, such as higher education or K-12 schools.

The United States student information system market was valued at USD 3.90 Billion in 2024. The industry is expected to grow at a CAGR of 11.20% during the forecast period of 2025-2034 to attain a valuation of USD 11.27 Billion by 2034.

Student Information System Market size was valued at USD 12.91 Billion in 2024 and is projected to reach USD 35.76 Billion by 2032, growing at a CAGR of 14.98% from 2026 to 2032.The Student Information System (SIS) Market is driven by the increasing demand for efficient management of student data and administrative processes in educational institutions. The rise in digital transformation across schools, colleges, and universities, along with the need for streamlined communication between students, parents, and educators, propels the adoption of SIS solutions. The growing emphasis on data-driven decision-making, regulatory compliance, and the integration of advanced technologies such as AI and cloud computing into education systems further fuel market growth. Additionally, the shift towards online and hybrid learning models has heightened the need for robust, scalable SIS platforms that can support remote access and real-time data updates.

The National Student Loan Data System (NSLDS) is the national database of information about loans and grants awarded to students under Title IV of the Higher Education Act (HEA) of 1965. NSLDS provides a centralized, integrated view of Title IV loans and grants during their complete life cycle, from aid approval through disbursement, repayment, deferment, delinquency, and closure.

Discover Market Research Intellect's K 12 Student Information System Market Report, worth USD 5.67 billion in 2024 and projected to hit USD 10.21 billion by 2033, registering a CAGR of 8.32% between 2026 and 2033.Gain in-depth knowledge of emerging trends, growth drivers, and leading companies.

The North America student information system market was valued at USD 2.69 Billion in 2024. The industry is expected to grow at a CAGR of 10.40% during the forecast period of 2025-2034 to attain a valuation of USD 7.24 Billion by 2034.

The size of the Student Information System Industry market was valued at USD XXX Million in 2023 and is projected to reach USD XXX Million by 2032, with an expected CAGR of 14.19% during the forecast period. Recent developments include: October 2023: Ellucian, a company that develops solutions that power the essential work of colleges and universities, announced the acquisition of Tribal Group plc, a UK-based provider of enterprise resource planning ("ERP") and customer relationship management software and services to the education sector. The company will enhance and expand its global product capabilities as a result of this agreement, resulting in a broader set of modern technology solutions that enable institutions to provide an exceptional student experience., July 2023: Skyward, a provider of school administration software, announced a collaboration with ParentSquare, a leader in effective K-12 school communications. This collaboration will result in a seamless integration of the two platforms, giving Skyward customers more options for enabling and increasing school-to-home communication for improved student succes. Key drivers for this market are: Increasing Awareness to Improve the Administrative Process among Education Institutes, Rising Focus of Educational Institutions to Improve Education Quality and Customer Satisfaction; Adoption of Cloud in Student Information System. Potential restraints include: Lack of Expertise and Infrastructure Among End Users. Notable trends are: Adoption of Cloud in Student Information System is Projected to Drive the Market.

The global student information system (SIS) software market is projected to reach a value of 3,105 million by 2033, exhibiting a CAGR of 5.4% during the forecast period. Increasing adoption of cloud-based solutions and growing demand for data analytics and reporting capabilities are key drivers of market growth. Additionally, the need for efficient student management and personalized learning experiences is contributing to the demand for SIS solutions. Market segmentation by type (cloud-based and on-premise) and application (large enterprises and SMEs) provides insights into the diverse needs of different organizations. Cloud-based solutions are gaining popularity due to cost-effectiveness, accessibility, and scalability, while on-premise solutions offer greater control and customization. Large enterprises require comprehensive SIS solutions with advanced features, while SMEs focus on cost-effective and user-friendly options. The market is dominated by a mix of established vendors and emerging players, with Gradelink, Teachmint, and Ellucian being key players. Regional analysis highlights the dominance of North America and Asia Pacific, with government initiatives and increasing technology adoption supporting market growth.

The K-12 Student Information System (SIS) market is booming, projected to reach $4.2 billion by 2033. Learn about key market drivers, trends, challenges, and leading vendors like PowerSchool and Skyward in this comprehensive market analysis. Discover the impact of cloud-based solutions and data-driven decision-making in education.

The Student Information System (SIS) software market is booming, projected to reach [estimated 2033 value based on CAGR] by 2033. Discover key market trends, leading vendors (PowerSchool, Ellucian, Gradelink), and growth drivers shaping this dynamic sector. Explore our in-depth analysis for insights into this expanding market.

The Student Information System Market size is expected to reach a valuation of USD 62.76 Billion in 2033 growing at a CAGR of 16.20%. The research report classifies market by share, trend, demand and based on segmentation by Offering, Platform Module, Deployment Module, End User and Regional Outlook...

The global market for cloud-based student information systems (SIS) is experiencing robust growth, driven by increasing demand for efficient, scalable, and cost-effective educational management solutions. The market, estimated at $2.5 billion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033, reaching an estimated value of $7.2 billion by 2033. This growth is fueled by several key factors, including the rising adoption of cloud technologies in educational institutions, the need for improved data security and accessibility, and the growing emphasis on student engagement and personalized learning experiences. The increasing need for real-time data analytics to inform decision-making and enhance operational efficiency further contributes to market expansion. Key players like Workday, Oracle, and Ellucian are driving innovation through advanced features such as integrated learning management systems (LMS), mobile accessibility, and robust reporting capabilities. The market segmentation reveals a diverse landscape, with significant contributions from various institutional types (K-12, Higher Education) and geographical regions. North America currently holds a dominant market share, but other regions, particularly Asia-Pacific, are witnessing rapid growth due to increasing investments in educational infrastructure and technology adoption. While the initial investment in migrating to cloud-based systems presents a restraint, the long-term cost savings and improved efficiency are outweighing these concerns. Furthermore, concerns around data security and privacy are being addressed through robust security measures and compliance with relevant regulations, encouraging further market expansion. Future growth will likely be driven by increasing integration with other educational technologies, the development of AI-powered features, and continued advancements in cloud computing capabilities.