A fully-managed service that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale.
2,688
companies
Technology
is any of
Amazon SageMaker
Company | Country | Industry | Employees | Revenue | Technologies |
---|---|---|---|---|---|
United States | It Services And It Consulting | 1.5M | $3M | ![]() Amazon SageMaker | |
Financial Services | 50K | $3.1B | ![]() Amazon SageMaker | ||
United Kingdom | Insurance | 344 | $296K | ![]() Amazon SageMaker | |
United States | Retail | 12K | $8.9B | ![]() Amazon SageMaker | |
United States | It Services And It Consulting | 3.9K | $500M | ![]() Amazon SageMaker | |
United Kingdom | It Services And It Consulting | 5.8K |
| ![]() Amazon SageMaker | |
United States | Software Development | 39 |
| ![]() Amazon SageMaker | |
United States | It Services And It Consulting | 390 | $2.2M | ![]() Amazon SageMaker | |
United States | Financial Services | 25K | $6.9B | ![]() Amazon SageMaker | |
United States | Financial Services | 41K | $65B | ![]() Amazon SageMaker | |
United States | Insurance | 42K | $37B | ![]() Amazon SageMaker | |
United States | Software Development | 3.5K | $764M | ![]() Amazon SageMaker |
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We have data on 2,688 companies that use Amazon SageMaker. Our Amazon SageMaker customers list is available for download and comes enriched with vital company specifics, including industry classification, organizational size, geographical location, funding rounds, and revenue figures, among others.
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Technoloy Usage Stadistics and Market Share
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Amazon SageMaker is used in 54 countries
There are 95 alternatives to Amazon SageMaker
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Frequently asked questions
Our data is sourced from job postings collected from millions of companies. We monitor these postings on company websites, job boards, and other recruitment platforms. Analyzing job postings provides a reliable method to understand the technologies companies are employing, including their use of internal tools.
We refresh our data daily to ensure you are accessing the most current information available. This frequent updating process guarantees that our insights and intelligence reflect the latest developments and trends within the industry.
Amazon SageMaker is a comprehensive machine learning service provided by Amazon Web Services (AWS) that enables developers and data scientists to build, train, and deploy machine learning models quickly and at scale. With SageMaker, users have access to all the components needed for the entire machine learning workflow in a unified platform, including data processing, model training, and model hosting, making it easier to develop and deploy machine learning models.
Machine Learning as a Service (MLaaS) is a category that Amazon SageMaker falls under, offering a cloud-based platform for machine learning development and deployment without the need for users to manage the underlying infrastructure. This category provides tools and services that streamline the process of creating machine learning models, allowing businesses to leverage the power of artificial intelligence without the complexity typically associated with building and training models from scratch.
Amazon SageMaker was founded by Amazon Web Services and was officially launched in 2017. The motivation behind the creation of SageMaker was to simplify the machine learning workflow and make it more accessible to developers and organizations of all sizes. By providing a fully managed platform with built-in algorithms and tools, Amazon aimed to accelerate the adoption of machine learning in various industries and simplify the deployment of models into production environments.
As of the latest data available, Amazon SageMaker holds a significant market share within the Machine Learning as a Service category, with a growing number of businesses trusting the platform for their machine learning needs. The forecast indicates that Amazon SageMaker is likely to continue expanding its market share in the future, driven by the increasing demand for machine learning solutions and the continuous innovation and enhancements introduced by Amazon Web Services to the SageMaker platform.
You can access an updated list of companies using Amazon SageMaker by visiting TheirStack.com. Our platform provides a comprehensive database of companies utilizing various technologies and internal tools.
As of now, we have data on 2,688 companies that use Amazon SageMaker.
Amazon SageMaker is used by a diverse range of organizations across various industries, including "It Services And It Consulting", "Financial Services", "Insurance", "Retail", "It Services And It Consulting", "It Services And It Consulting", "Software Development", "It Services And It Consulting", "Financial Services", "Financial Services". For a comprehensive list of all industries utilizing Amazon SageMaker, please visit TheirStack.com.
Some of the companies that use Amazon SageMaker include Amazon Web Services, Inc., Sun Life, Policy Expert, Chewy, Brillio LLC, Qualitest, BlastPoint, Steampunk, Vanguard, Prudential and many more. You can find a complete list of 2,688 companies that use Amazon SageMaker on TheirStack.com.
Based on our data, Amazon SageMaker is most popular in United States (1,083 companies), United Kingdom (155 companies), Canada (54 companies), India (50 companies), France (45 companies), Spain (42 companies), Germany (41 companies), Australia (40 companies), Brazil (40 companies), Netherlands (20 companies). However, it is used by companies all over the world.
You can find companies using Amazon SageMaker by searching for it on TheirStack.com, We track job postings from millions of companies and use them to discover what technologies and internal tools they are using.