We have data on 61 companies that use ONNX. The companies using ONNX are most often found in United States and in the Information Technology and Services industry. ONNX is most often used by companies with >10000 employees and >1000M dollars in revenue. Our data for ONNX usage goes back as far as 10 months.
If you’re interested in the companies that use ONNX, you may want to check out Google Translate API and Keras as well.
Company | International Business Machines Corporation |
Website | ibm.com |
Country | United States |
Revenue | >1000M |
Company Size | >10000 |
Company | Amazon.com, Inc. |
Website | amazon.com |
Country | United States |
Revenue | >1000M |
Company Size | >10000 |
Company | Microsoft |
Website | microsoft.com |
Country | United States |
Revenue | >1000M |
Company Size | >10000 |
Company | Tata Consultancy Services Ltd |
Website | tcs.com |
Country | India |
Revenue | >1000M |
Company Size | >10000 |
Company | Synopsys Inc |
Website | synopsys.com |
Country | United States |
Revenue | >1000M |
Company Size | >10000 |
Company | Website | Country | Revenue | Company Size |
---|---|---|---|---|
International Business Machines Corporation | ibm.com | United States | >1000M | >10000 |
Amazon.com, Inc. | amazon.com | United States | >1000M | >10000 |
Microsoft | microsoft.com | United States | >1000M | >10000 |
Tata Consultancy Services Ltd | tcs.com | India | >1000M | >10000 |
Synopsys Inc | synopsys.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 Deep 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 Deep Learning category, ONNX has a market share of about 0.1%. Other major and competing products in this category include:
ONNX (Open Neural Network Exchange) is an open format built to represent machine learning (ML) models. It defines a common set of operators - the building blocks of machine learning and deep learning models, and a common file format to enable AI (Artificial Intelligence) developers to use models with a variety of frameworks, tools, runtimes and compilers. Its key features are interoperability and shared optimization that allows hardware vendors and others to improve the performance of artificial neural networks of multiple frameworks at once by targeting the ONNX representation.
Looking at ONNX customers by industry, we find that Information Technology and Services (23%), Computer Software (18%), Semiconductors (13%), Internet (7%) and Computer Hardware (5%) are the largest segments.
49% of ONNX customers are in United States, 10% are in China and 5% are in Germany.
Of all the customers that are using ONNX, 13% are small (<50 employees), 27% are medium-sized and 47% are large (>1000 employees).
Of all the customers that are using ONNX, a majority (50%) are large (>$1000M), 29% are small (<$50M) and 6% are medium-sized.