We have data on 194 companies that use ROOT. The companies using ROOT are most often found in United States and in the Higher Education industry. ROOT is most often used by companies with >10000 employees and >1000M dollars in revenue. Our data for ROOT usage goes back as far as 5 years and 11 months.
|Company||Lawrence Berkeley National Laboratory|
|Company||University of Virginia-Main Campus|
|Lawrence Berkeley National Laboratory||lbl.gov||United States||200M-1000M||1000-5000|
|University of Virginia-Main Campus||virginia.edu||United States||>1000M||>10000|
|Duke University||duke.edu||United States||>1000M||>10000|
We use the best indexing techniques combined with advanced data science to monitor the market share of over 15,000 technology products, including Machine Learning. By scanning billions of public documents, we are able to collect deep insights on every company, with over 100 data fields per company at an average. In the Machine Learning category, ROOT has a market share of about 0.3%. Other major and competing products in this category include:
ROOT is a modular scientific software framework. It provides all the functionalities needed to deal with big data processing, statistical analysis, visualisation and storage. It is mainly written in C++ but integrated with other languages such as Python and R.
Looking at ROOT customers by industry, we find that Higher Education (62%) and Research (18%) are the largest segments.
55% of ROOT customers are in United States, 10% are in United Kingdom and 5% are in Canada.
Of all the customers that are using ROOT, a majority (83%) are large (>1000 employees), 2% are small (<50 employees) and 12% are medium-sized.
Of all the customers that are using ROOT, a majority (61%) are large (>$1000M), 26% are small (<$50M) and 5% are medium-sized.