OpenText Magellan

Who are the top OpenText Magellan competitors?

OpenText Magellan’s Top competitors in the data-science-and-machine-learning category are Google Translate, Google Cloud Translation API, pandas python. You can view a full list of OpenText Magellan competitors here. 6sense uses advanced data mining and AI algorithms to track customers and competitors of OpenText Magellan and 40,000 other technologies on the internet. You can also compare OpenText Magellan and its feature with top competitors here : OpenText Magellan vs Google Translate OpenText Magellan vs Google Cloud Translation API OpenText Magellan vs pandas python.

What is OpenText Magellan customer distribution based on company size?

The majority of OpenText Magellan’s customers for the data-science-and-machine-learning category fall in the company size of 10,000+ employees (8 companies). You can view a distribution chart of OpenText Magellan customers by company size here.

What is OpenText Magellan market share in the data-science-and-machine-learning?

OpenText Magellan has market share of 0.00% in data-science-and-machine-learning market. OpenText Magellan competes with 156 competitor tools in data-science-and-machine-learning category. The top alternatives for OpenText Magellan data-science-and-machine-learning tool are Google Translate with 62.24%, Google Cloud Translation API with 21.06%, pandas python with 2.31% market share.

What are the top countries that use OpenText Magellan?

Around the world in 2026, over 16 companies have started using OpenText Magellan as data-science-and-machine-learning tool. Companies using OpenText Magellan for data-science-and-machine-learning are majorly from United States with 6 customers. 37.50% of OpenText Magellan customers are from the United States. Other top countries using OpenText Magellan are India and Canada with 2(12.50%) and 2(12.50%) customers respectively.

What are the top industries that use OpenText Magellan?

Top industries that use OpenText Magellan for data-science-and-machine-learning are Consulting (3), Digital Transformation (2), Financial Services (2).