Discover Amazon Forecast Data Science and Machine Learning tool - Top alternatives, customer information and buyer intent data. Compare Amazon Forecast with the biggest competitors in the Data Science and Machine Learning market like Amazon Machine Learning Apache Spark etc.
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Amazon Forecast’s Top competitors in the data-science-and-machine-learning category are Amazon Machine Learning Apache Spark scikit-learn. You can view a full list of Amazon Forecast competitors here. Slintel uses advanced data mining and AI algorithms to track customers and competitors of Amazon Forecast and 40,000 other technologies on the internet.You can also compare Amazon Forecast and its feature with top competitors here : Amazon Forecast vs Amazon Machine Learning Amazon Forecast vs Apache Spark Amazon Forecast vs scikit-learn .
Majority of Amazon Forecast’s customers for the data-science-and-machine-learning category fall in the company size of 51-200 employees (276 companies) 11-50 employees (244 companies) 1k-5k employees (219 companies) . You can view a distribution chart of Amazon Forecast customers by company size here.
Amazon Forecast has market share of 5.45% in data-science-and-machine-learning market. Amazon Forecast competes with 38 competitor tools in data-science-and-machine-learning category. Top alternatives for Amazon Forecast data-science-and-machine-learning tool are Amazon Machine Learning with 24.75% Apache Spark with 18.05% scikit-learn with 14.63% market share.
Top industries that use Amazon Forecast for data-science-and-machine-learning are Software (220) Information Technology (166) Manufacturing (111) .
Around the world in 2021, over 1439 companies have started using Amazon Forecast as data-science-and-machine-learning tool. Companies using Amazon Forecast for data-science-and-machine-learning are majorly from United States with 912 customers. 63.55% of Amazon Forecast customers are from the United States. Other top countries using Amazon Forecast are United Kingdom Canada with 116(8.08%) 46(3.21%) customers respectively.