We have data on 131 companies that use IBM Power9. The companies using IBM Power9 are most often found in United States and in the Information Technology and Services industry. IBM Power9 is most often used by companies with >10000 employees and >1000M dollars in revenue. Our data for IBM Power9 usage goes back as far as 1 years and 10 months.
|Company||University of California, Berkeley|
|University of California, Berkeley||berkeley.edu||United States||>1000M||>10000|
|AT&T Inc||att.com||United States||>1000M||>10000|
|Gorsebrook Lounge||campusdish.com||United States||0M-1M||1-10|
|Starbucks Corporation||starbucks.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 Multicore Processors. 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 Multicore Processors category, IBM Power9 has a market share of about 7.4%. Other major and competing products in this category include:
IBM Power9 (IBM Power 9) is a processor chip used to build cloud-ready servers for data intensive and mission-critical workloads. It offers built-in security, scalable platform, accelerated computing, deploy deep learning, Machine Learning (ML) and AI (Artificial Intelligence) frameworks across the organization with speed and simplicity. It offers IBM Power System E950, IBM Power System E980, Power AC922, IBM Power System LC921, IBM Power System LC922 and IBM Power System IC922.
Looking at IBM Power9 customers by industry, we find that Information Technology and Services (30%) and Computer Software (7%) are the largest segments.
60% of IBM Power9 customers are in United States.
Of all the customers that are using IBM Power9, 13% are small (<50 employees), 40% are medium-sized and 42% are large (>1000 employees).
Of all the customers that are using IBM Power9, 31% are small (<$50M), 16% are medium-sized and 44% are large (>$1000M).