Making Procurement Processes Easier with E-Procurement Systems
ListEdTech is a market research firm that only tracks systems used in education. Our user-friendly portal offers data on more than 25 product categories, including E-Procurement systems. For this product category, we track over 1,100 implementations, mainly in North America at the higher education level.
What Are E-Procurement Systems?
An E-Procurement system is a platform that facilitates the procurement of goods and services by making it easier for universities and colleges to search for, compare, and order products and services from multiple vendors efficiently and cost-effectively. It also provides valuable data and insights to help institutions make informed procurement decisions and track spending.
What’s Inside our Product Category Reports?
- Introduction
- Category Definition
- Acquisitions and Category Dynamics
- Latest News and Product Updates
- Current and Historical Market Graphs
- Market Context (Market Analysis)
- Market Forecast (Market Projections)
- Typical Pricing in the Category
- Conclusion
- List of Vendors
Why Use the ListEdTech Portal?
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335,000
product implementations tracked among 25+ product categories
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976
institutions, in our database, using an E-Procurement system
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27
E-Procurement products in our database
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In this Product Category, We Have Data on the Following Companies and Products
How Does ListEdTech Gather its Data?
We scan publicly available data (news releases, social media, university and company websites) to gather our information. Our dataset includes (but is not limited to):
- Educational companies, products, and institutional characteristics,
- Primary and secondary systems supported by an institution,
- Implementation dates and decommission dates,
- Contracts, RFP and acquisition data.
Our team controls for bias and regularly updates, reviews, and validates the data at the source to help organize, sort, and classify more than 3 million data points. Though we cannot guarantee an accurate market representation, the methods we use prevent the overrepresentation of any solution.
As part of our data quality control, we review our database monthly. During these processes, we constantly reach a 95% accuracy rate.