List of Microsoft Azure Machine Learning Customers

Microsoft

One Microsoft Way,
Redmond, 98052-6399, WA,
United States

https://www.microsoft.com/

1 425-882-8080

Professional Services

221000

$243.0B

Since 2010, our global team of researchers has been studying Microsoft Azure Machine Learning customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.

Each quarter our research team identifies companies that have purchased Microsoft Azure Machine Learning for ML and Data Science Platforms from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.

Companies using Microsoft Azure Machine Learning for ML and Data Science Platforms include: Microsoft, a United States based Professional Services organisation with 221000 employees and revenues of $243.00 billion, Mercedes Benz, a Germany based Automotive organisation with 175264 employees and revenues of $171.47 billion, LG Electronics, a South Korea based Manufacturing organisation with 82000 employees and revenues of $64.95 billion, Tata Motors, a India based Manufacturing organisation with 91496 employees and revenues of $49.62 billion, The Coca-Cola Company, a United States based Consumer Packaged Goods organisation with 69700 employees and revenues of $47.06 billion and many others.

Contact us if you need a completed and verified list of companies using Microsoft Azure Machine Learning, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the Machine Learning software purchases.

The Microsoft Azure Machine Learning customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of Machine Learning software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!

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Customer	Industry	Empl.	Revenue	Country	Vendor	Application	Category	When	SI	Insight
365mc	Healthcare	380	$30M	South Korea	Microsoft	Microsoft Azure Machine Learning	ML and Data Science Platforms	2016	n/a	In 2016, 365mc implemented Microsoft Azure Machine Learning as part of its M.A.I.L System, Motion capture and Artificial Intelligence assisted Liposuction System. This deployment sits in the ML and Data Science Platforms category and was designed to analyze surgeon hand movement captured during liposuction procedures to improve surgical accuracy and safety. The implementation instrumented suction cannula with motion sensors to capture kinematic data, then used Microsoft Azure IoT solution accelerators for data ingestion and routing into Microsoft Azure Machine Learning. Within Microsoft Azure Machine Learning the workstreams included model training, validation, and operational inference pipelines that convert raw motion telemetry into actionable analytics for intraoperative guidance. Integration architecture centered on an IoT ingestion layer feeding time series motion data into Azure Machine Learning pipelines, enabling near real time analysis and model updates tied to procedural data. Operational coverage focused on clinical surgical teams at 365mc sites in South Korea, with the application directly impacting the surgical procedure workflow and clinical monitoring during liposuction. Governance and process changes aligned clinical practice with sensor instrumentation and data capture workflows, embedding model outputs into surgical decision making. The system, implemented with Microsoft Azure Machine Learning, is reported to have dramatically enhanced the accuracy and safety of liposuction.
Aggreko USA	Professional Services	1000	$15M	United States	Microsoft	Microsoft Azure Machine Learning	ML and Data Science Platforms	2016	n/a	In 2016, Aggreko USA implemented Microsoft Azure Machine Learning to power predictive maintenance across its rental power and temperature control fleets. The deployment used Microsoft Azure Machine Learning as the central ML and Data Science Platforms capability for model experimentation and production scoring. The implementation focused on model development workflows including experiment tracking, automated training pipelines, feature engineering and model deployment to production scoring endpoints. Teams used Microsoft Azure Machine Learning for supervised learning model lifecycle management, enabling repeatable training runs, model versioning and controlled promotion of models to production. Data pipelines ingested equipment telemetry streams and historical service records to feed training and scoring workflows, consuming Aggreko operational data sources. Operational scope covered service engineering, operations and field maintenance teams in the United States, aligning machine learning outputs to maintenance planning and dispatch workflows. Governance established model version control, deployment approvals and operational runbooks to support ongoing retraining and model stewardship.
AJE Group	Consumer Packaged Goods	10000	$1.3B	Peru	Microsoft	Microsoft Azure Machine Learning	ML and Data Science Platforms	2019	n/a	In 2019 AJE Group implemented Microsoft Azure Machine Learning as a core component of its ML and Data Science Platforms strategy. The implementation was initiated under the Global Data & Analytics Coordinator remit and targeted analytics coverage across LATAM and ASIA, driven by an integrated DataLake architecture to consolidate Salesforce, SQL sources, and AWS Redshift data. The deployment combined Microsoft Azure Machine Learning with a DataLake and a BI repository composed of a DataWarehouse and DataMarts for LATAM and ASIA. Microsoft Azure Machine Learning was used to develop predictive models and machine learning algorithms focused on churn prediction and customer segmentation, with model development conducted in Python using standard data science libraries and data preparation performed through SQL, SSIS, and SSAS processes. Integrations implemented during the program included Salesforce for CRM data, AWS Redshift as an external data source, on premise SQL databases, and downstream visualization in Tableau and Salesforce Einstein Analytics Desktop and Mobile Exploration. Model scoring and segmentation results were operationalized through Python based integration workflows that loaded outputs into Salesforce to influence pricing and promotion actions at points of sale. Governance work established a BI repository and DataLake model to standardize data ingestion, lineage, and reporting across the organization, aligning analytics workflows with commercial teams. The clustering model identified four customer segments and was applied to discount and bonus decisioning, with the model contributing to a 4% increase in sales versus the 2021 forecast as reported by the analytics team.
	Insurance	4450	$9.1B	United Kingdom	Microsoft	Microsoft Azure Machine Learning	ML and Data Science Platforms	2018	n/a
	Professional Services	15	$1M	United States	Microsoft	Microsoft Azure Machine Learning	ML and Data Science Platforms	2018	CRM-Konsulterna
	Leisure and Hospitality	500	$100M	Sweden	Microsoft	Microsoft Azure Machine Learning	ML and Data Science Platforms	2018	CRM-Konsulterna
	Professional Services	1200	$400M	United States	Microsoft	Microsoft Azure Machine Learning	ML and Data Science Platforms	2016	n/a
	Consumer Packaged Goods	30000	$1.9B	Turkey	Microsoft	Microsoft Azure Machine Learning	ML and Data Science Platforms	2016	n/a
	Professional services	7	$1M	United States	Microsoft	Microsoft Azure Machine Learning	ML and Data Science Platforms	2016	n/a
	Professional Services	19837	$7.5B	Netherlands	Microsoft	Microsoft Azure Machine Learning	ML and Data Science Platforms	2017	n/a

Showing 1 to 10 of 92 entries

Buyer Intent: Companies Evaluating Microsoft Azure Machine Learning

ARTW Buyer Intent uncovers actionable customer signals, identifying software buyers actively evaluating Microsoft Azure Machine Learning. Gain ongoing access to real-time prospects and uncover hidden opportunities. Companies Actively Evaluating Microsoft Azure Machine Learning for ML and Data Science Platforms include:

Oral Roberts University, a United States based Education organization with 750 Employees
US Farathane, a United States based Manufacturing company with 5284 Employees
Manitou Group, a France based Manufacturing organization with 4322 Employees

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FAQ - APPS RUN THE WORLD Microsoft Azure Machine Learning Coverage

Microsoft Azure Machine Learning is a ML and Data Science Platforms solution from Microsoft.

Companies worldwide use Microsoft Azure Machine Learning, from small firms to large enterprises across 21+ industries.

Organizations such as Microsoft, Mercedes Benz, LG Electronics, Tata Motors and The Coca-Cola Company are recorded users of Microsoft Azure Machine Learning for ML and Data Science Platforms.

Companies using Microsoft Azure Machine Learning are most concentrated in Professional Services, Automotive and Manufacturing, with adoption spanning over 21 industries.

Companies using Microsoft Azure Machine Learning are most concentrated in United States, Germany and South Korea, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of Microsoft Azure Machine Learning across Americas, EMEA, and APAC.

Companies using Microsoft Azure Machine Learning range from small businesses with 0-100 employees - 26.09%, to mid-sized firms with 101-1,000 employees - 21.74%, large organizations with 1,001-10,000 employees - 33.7%, and global enterprises with 10,000+ employees - 18.48%.

Customers of Microsoft Azure Machine Learning include firms across all revenue levels — from $0-100M, to $101M-$1B, $1B-$10B, and $10B+ global corporations.

Contact APPS RUN THE WORLD to access the full verified Microsoft Azure Machine Learning customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of ML and Data Science Platforms.

List of Microsoft Azure Machine Learning Customers

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Buyer Intent: Companies Evaluating Microsoft Azure Machine Learning

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Q1. What is Microsoft Azure Machine Learning used for?

Q2. Who uses Microsoft Azure Machine Learning for ML and Data Science Platforms?

Q3. Which companies use Microsoft Azure Machine Learning?

Q4. What is the industry breakdown of companies using Microsoft Azure Machine Learning?

Q5. What is the country breakdown of companies using Microsoft Azure Machine Learning?

Q6. What is the breakdown by employee size of companies using Microsoft Azure Machine Learning?

Q7. What is the breakdown by revenue of companies using Microsoft Azure Machine Learning?

Q8. How can I get the full list of companies using Microsoft Azure Machine Learning?