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List of Azure Translator Customers

Microsoft

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

https://www.microsoft.com/

1 425-882-8080

Construction and Real Estate

228000

$281.7B

Since 2010, our global team of researchers has been studying Azure Translator 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 Azure Translator for Natural Language Processing 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 Azure Translator for Natural Language Processing include: Volkswagen, a Germany based Automotive organisation with 679472 employees and revenues of $351.34 billion, United States Army Europe And Africa, a United States based Government organisation with 30000 employees and revenues of $2.00 billion, DiDi Mobility Japan, a Japan based Transportation organisation with 36 employees and revenues of $13.0 million and many others.

Contact us if you need a completed and verified list of companies using Azure Translator, 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 software purchases.

The Azure Translator 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 software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!

Apply Filters For Customers

Filters

Logo	Customer	Industry	Empl.	Revenue	Country	Vendor	Old Product	New Product	Category	When	SI
	DiDi Mobility Japan	Transportation	36	$13M	Japan	Microsoft	Legacy	Azure Translator	Natural Language Processing	2018	n/a
	United States Army Europe And Africa	Government	30000	$2.0B	United States	Microsoft	Legacy	Azure Translator	Natural Language Processing	2013	n/a
	Volkswagen	Automotive	679472	$351.3B	Germany	Microsoft	Legacy	Azure Translator	Natural Language Processing	2018	n/a

Showing 1 to 3 of 3 entries

Buyer Intent: Companies Evaluating Azure Translator

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Logo	Company	Industry	Employees	Revenue	Country	Evaluated
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FAQ - APPS RUN THE WORLD Azure Translator Coverage

Azure Translator is a Natural Language Processing solution from Microsoft.

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

Organizations such as Volkswagen, United States Army Europe And Africa and DiDi Mobility Japan are recorded users of Azure Translator for Natural Language Processing.

Companies using Azure Translator are most concentrated in Automotive, Government and Transportation, with adoption spanning over 21 industries.

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

Companies using Azure Translator range from small businesses with 0-100 employees - 33.33%, to mid-sized firms with 101-1,000 employees - 0%, large organizations with 1,001-10,000 employees - 0%, and global enterprises with 10,000+ employees - 66.67%.

Customers of Azure Translator 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 Azure Translator customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of Natural Language Processing.