We have data on 154 companies that use PMML-Predictive Model Markup Language. The companies using PMML-Predictive Model Markup Language are most often found in United States and in the Computer Software industry. PMML-Predictive Model Markup Language is most often used by companies with >10000 employees and >1000M dollars in revenue. Our data for PMML-Predictive Model Markup Language usage goes back as far as 5 years and 1 months.
|Company||Cisco Systems, Inc.|
|Company||Cognizant Technology Solutions Corp|
|eBay Inc.||ebay.com||United States||>1000M||>10000|
|Cisco Systems, Inc.||cisco.com||United States||>1000M||>10000|
|AT&T Inc||att.com||United States||>1000M||>10000|
|Cognizant Technology Solutions Corp||cognizant.com||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 Programming Languages. 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 Programming Languages category, PMML-Predictive Model Markup Language has a market share of about 0.1%. Other major and competing products in this category include:
PMML (Predictive Model Markup Language) is an XML-based language that enables the definition and sharing of predictive models between applications.
Looking at PMML-Predictive Model Markup Language customers by industry, we find that Computer Software (21%), Information Technology and Services (19%), Financial Services (8%) and Internet (6%) are the largest segments.
67% of PMML-Predictive Model Markup Language customers are in United States and 5% are in United Kingdom.
Of all the customers that are using PMML-Predictive Model Markup Language, a majority (58%) are large (>1000 employees), 12% are small (<50 employees) and 25% are medium-sized.
Of all the customers that are using PMML-Predictive Model Markup Language, a majority (58%) are large (>$1000M), 20% are small (<$50M) and 9% are medium-sized.