We`re currently tracking the adoption (at scale) of the world`s top open source software projects. Today we are delighted to share this brief market research on Google`s popular open source project, TensorFlow.
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TensorFlow Positioning
TensorFlow Adoption Analysis
The Key Takeaways
Firstly, the research analysis estimates that only 12% of fortune 500 companies have deployed TensorFlow in production environment. Hence, there exists a great opportunity for AI/ML dev tool startups to help fortune 500 companies successfully deploy TensorFlow in production. Secondly, the research analysis estimates that 60% of the top 100 machine learning powered startups in the world are currently using TensorFlow in production. This means that companies that are not using TensorFlow in production are probably at a great disadvantage in terms of deep learning benefits.
Finally, the research analysis estimates that around 55% of all TensorFlow production deployments from fortune 500 companies and the top 100 machine learning powered startups are running on AWS. This clearly indicates that AWS is well ahead of other cloud players in terms of AI/ML workloads including Google Cloud Platform (GCP).
Many thanks and happy reading!:)
Kähler AI team - bringing you useful market insights so you can spot great technology trends before everyone else.