List of Microsoft Translator Customers

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Logo Customer Industry Empl. Revenue Country Vendor Old Product New Product Category When SI
City of Jacksonville Government 6000 $3.8B United States Microsoft Legacy Microsoft Translator Natural Language Processing 2016 n/a
Dillon High School United States Education 78 $10M United States Microsoft Legacy Microsoft Translator Natural Language Processing 2013 n/a
Softwarestudio Poland Professional Services 100 $6M Poland Microsoft Legacy Microsoft Translator Natural Language Processing 2010 n/a
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Buyer Intent: Companies Evaluating Microsoft Translator

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FAQ - APPS RUN THE WORLD Microsoft Translator Coverage

Microsoft Translator is a Natural Language Processing solution from Microsoft.

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

Organizations such as City of Jacksonville, Dillon High School United States and Softwarestudio Poland are recorded users of Microsoft Translator for Natural Language Processing.

Companies using Microsoft Translator are most concentrated in Government, Education and Professional Services, with adoption spanning over 21 industries.

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

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

Customers of Microsoft 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 Microsoft 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.