List of Microsoft Azure Machine Learning Customers

Microsoft
Location
One Microsoft Way,
Redmond, 98052, WA,
United States
Website
https://www.microsoft.com/
Phone
1 425-882-8080
Artw industry
Professional Services
Employee
228000
Revenue
$281.7B

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 228000 employees and revenues of $281.72 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, Coca Cola, 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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Logo Customer Industry Empl. Revenue Country Vendor Old Product New Product Category When SI
365mc Healthcare 380 $30M South Korea Microsoft Legacy Microsoft Azure Machine Learning ML and Data Science Platforms 2016 n/a
Aggreko USA Professional Services 1000 $15M United States Microsoft Legacy Microsoft Azure Machine Learning ML and Data Science Platforms 2016 n/a
AJE Group Consumer Packaged Goods 10000 $1.3B Peru Microsoft Legacy Microsoft Azure Machine Learning ML and Data Science Platforms 2019 n/a
Insurance 4450 $9.1B United Kingdom Microsoft Legacy Microsoft Azure Machine Learning ML and Data Science Platforms 2018 n/a
Professional Services 15 $1M United States Microsoft Legacy Microsoft Azure Machine Learning ML and Data Science Platforms 2018 CRM-Konsulterna
Leisure and Hospitality 500 $100M Sweden Microsoft Legacy Microsoft Azure Machine Learning ML and Data Science Platforms 2018 CRM-Konsulterna
Professional Services 1200 $400M United States Microsoft Legacy Microsoft Azure Machine Learning ML and Data Science Platforms 2016 n/a
Consumer Packaged Goods 30000 $1.9B Turkey Microsoft Legacy Microsoft Azure Machine Learning ML and Data Science Platforms 2016 n/a
Professional services 7 $1M United States Microsoft Legacy Microsoft Azure Machine Learning ML and Data Science Platforms 2016 n/a
Professional Services 19837 $7.5B Netherlands Microsoft Legacy 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:

  1. US Farathane, a United States based Manufacturing organization with 5284 Employees
  2. Manitou Group, a France based Manufacturing company with 4322 Employees
  3. University of Naples Federico, a Italy based Education organization with 4910 Employees

Discover Software Buyers actively Evaluating Enterprise Applications

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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 Coca Cola 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.