Companies that use Amazon SageMaker
A fully-managed service that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale.
13,895
companies
List of companies using Amazon SageMaker
curl --request POST \
--url "https://api.theirstack.com/v1/companies/search" \
--header "Accept: application/json" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer <api_key>" \
-d "{
\"company_technology_slug_or\": [
\"amazon-sagemaker\"
]
}"Technology
is any of
Amazon SageMaker
Employees147kIT Services and IT ConsultingAmazon SageMakerHigh confidence
Employees52kFinancial ServicesAmazon SageMakerHigh confidence- Employees1.5MRevenue$3MIT Services and IT ConsultingAmazon SageMakerHigh confidence
Employees540Revenue$12MIT Services and IT ConsultingAmazon SageMakerHigh confidence
Employees14kRevenue$8.9BRetailAmazon SageMakerHigh confidence
Employees22kInsuranceAmazon SageMakerHigh confidence
Employees93Business Consulting and ServicesAmazon SageMakerHigh confidence
Employees81kRevenue$31BFinancial ServicesAmazon SageMakerHigh confidence
Employees48kFinancial ServicesAmazon SageMakerHigh confidence
Employees23kMotor Vehicle ManufacturingAmazon SageMakerHigh confidence
We have data on 13,895 companies and users that use Amazon SageMaker. Our Amazon SageMaker users and 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.
Technology Usage Statistics and Market Share
How to target Amazon SageMaker users
- How to customize this list?
You can customize this data to your needs by filtering for geography, industry, company size, revenue, technology usage, job postions and more. You can download the data in Excel or CSV format.
- How to be alerted when companies adopt this technology?
You can get alerts for this data. You can get started by selecting the technology you are interested in and then you will receive alerts in your inbox when there are new companies using that technology.
- How to import this data to my CRM?
You can export this data to an Excel file, which can be imported into your CRM. You can also export the data to an API.
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.