We have data on 505 companies that use Context Relevant. The companies using Context Relevant are most often found in United States and in the Higher Education industry. Context Relevant is most often used by companies with >10000 employees and >1000M dollars in revenue. Our data for Context Relevant usage goes back as far as 6 years.
Company | The University of Texas at Austin |
Website | utexas.edu |
Country | United States |
Revenue | >1000M |
Company Size | >10000 |
Company | Koninklijke Philips NV |
Website | philips.nl |
Country | Netherlands |
Revenue | >1000M |
Company Size | >10000 |
Company | Website | Country | Revenue | Company Size |
---|---|---|---|---|
The University of Texas at Austin | utexas.edu | United States | >1000M | >10000 |
Koninklijke Philips NV | philips.nl | Netherlands | >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, Context Relevant has a market share of about 0.8%. Other major and competing products in this category include:
Context Relevant encapsulates machine learning, data science tools, statistical methods and an advanced distributed system into a platform that makes high-speed data analysis accessible to a breadth of industries.
Looking at Context Relevant customers by industry, we find that Higher Education (13%), Information Technology and Services (7%), Computer Software (7%) and Nonprofit Organization Management (7%) are the largest segments.
54% of Context Relevant customers are in United States, 18% are in United Kingdom and 6% are in Australia.
Of all the customers that are using Context Relevant, a majority (56%) are large (>1000 employees), 14% are small (<50 employees) and 28% are medium-sized.
Of all the customers that are using Context Relevant, 42% are small (<$50M), 6% are medium-sized and 46% are large (>$1000M).