We have data on 507 companies that use Tensorflow Lite. The companies using Tensorflow Lite are most often found in United States and in the Information Technology and Services industry. Tensorflow Lite is most often used by companies with >10000 employees and >1000M dollars in revenue. Our data for Tensorflow Lite usage goes back as far as 1 years and 1 months.
Company | Coursera |
Website | coursera.org |
Country | United States |
Revenue | 50M-100M |
Company Size | 500-1000 |
Company | Accenture PLC |
Website | accenture.com |
Country | Ireland |
Revenue | >1000M |
Company Size | >10000 |
Company | YourDictionary |
Website | yourdictionary.com |
Country | United States |
Revenue | 0M-1M |
Company Size | 1-10 |
Company | Udemy |
Website | udemy.com |
Country | United States |
Revenue | 200M-1000M |
Company Size | 1000-5000 |
Company | Harman International Industries, Incorporated |
Website | harman.com |
Country | United States |
Revenue | >1000M |
Company Size | >10000 |
Company | Website | Country | Revenue | Company Size |
---|---|---|---|---|
Coursera | coursera.org | United States | 50M-100M | 500-1000 |
Accenture PLC | accenture.com | Ireland | >1000M | >10000 |
YourDictionary | yourdictionary.com | United States | 0M-1M | 1-10 |
Udemy | udemy.com | United States | 200M-1000M | 1000-5000 |
Harman International Industries, Incorporated | harman.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 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, Tensorflow Lite has a market share of about 0.6%. Other major and competing products in this category include:
TensorFlow Lite (often referred to as TFLite) is a light-weight, mobile library for deploying machine learning (ML) models on mobile, microcontrollers and other edge devices. It provides a set of tools that enables on-device machine learning by helping developers run their models on mobile, embedded and edge devices. It is optimized for on-device machine learning (ML), offers multiple platform support, diverse language support, high performance, with hardware acceleration and model optimization. TensorFlow Lite for Microcontrollers is designed to run machine learning models on microcontrollers and other devices with only a few kilobytes of memory.
Looking at Tensorflow Lite customers by industry, we find that Information Technology and Services (18%), Computer Software (14%) and Higher Education (14%) are the largest segments.
40% of Tensorflow Lite customers are in United States, 6% are in India, 6% are in France and 5% are in Germany.
Of all the customers that are using Tensorflow Lite, 23% are small (<50 employees), 29% are medium-sized and 46% are large (>1000 employees).
Of all the customers that are using Tensorflow Lite, 37% are small (<$50M), 15% are medium-sized and 44% are large (>$1000M).