List of Azure Translator Customers
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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!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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DiDi Mobility Japan | Transportation | 36 | $13M | Japan | Microsoft | Azure Translator | Natural Language Processing | 2018 | n/a |
In 2018 DiDi Mobility Japan integrated Azure Translator, leveraging Azure Cognitive Services Translator Text, into its driver and passenger mobile application to provide in-app two-way translation for inbound foreign visitors. DiDi Mobility Japan implemented Azure Translator as a Natural Language Processing capability to support rider-driver communication and live interactions during trips.
The implementation embedded two-way translation into the app UI and invoked Azure Translator real-time translation APIs for conversational exchanges. Functional elements included automatic language detection and bi-directional text translation flows to enable live messages between riders and drivers, with translation processing performed by Microsoft’s cloud-hosted cognitive service. Integration focused on client-driven API calls from the mobile application to Azure Cognitive Services Translator Text endpoints to minimize latency in conversational contexts.
The translation feature shipped with DiDi’s Japan launch and operated across driver and passenger workflows in Japan, specifically supporting inbound foreign visitors and front-line customer communications. Governance emphasized application-level controls and operational guidance so drivers could use translation features while concentrating on safe driving, an outcome noted in public reporting. This implementation positioned Azure Translator as a Natural Language Processing component embedded in core ride workflows to improve rider-driver communication.
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United States Army Europe And Africa | Government | 30000 | $2.0B | United States | Microsoft | Azure Translator | Natural Language Processing | 2013 | n/a |
In 2013, United States Army Europe And Africa implemented Azure Translator as a Natural Language Processing capability to automate translation of SQL Server applicant data during a Microsoft Dynamics CRM migration. The work targeted HR and recruiting processes across Europe, enabling unified English language reporting for applicant records.
The Azure Translator deployment leveraged the Microsoft Translator API to programmatically translate bulk applicant records, integrating translation calls into the CRM migration data pipeline. Implemented functional capabilities included automated bulk translation, language detection, and normalization to produce consistent English language fields for downstream HR workflows and reporting.
Integrations tied the Microsoft Translator API to SQL Server source staging and to the Microsoft Dynamics CRM migration process, embedding translation into the data ingestion and migration ETL. Operational coverage focused on HR recruiting functions within United States Army Europe And Africa, with the translation service placed in the ingestion and reporting layers to ensure consistent data for recruiters and HR analysts.
Development occurred from 2013 to 2014 and the case study was published in June 2018, documenting that the automated solution saved about $150,500 in manual translation costs and avoided a seven month delay. Governance and rollout prioritized embedding translation into the migration pipeline to preserve recruiting timelines and to standardize English language reporting, with outcomes and cost avoidance recorded in the published case study.
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Volkswagen | Automotive | 679472 | $351.3B | Germany | Microsoft | Azure Translator | Natural Language Processing | 2018 | n/a |
In 2018, Volkswagen implemented Azure Translator to centralize and accelerate high-volume document and text translation across language services. Volkswagen implemented Azure Translator, a Natural Language Processing application, to support business intelligence, customer support, and internal communications across Germany and global operations.
The Azure-based Translator solution was configured with custom models and centralized model management to handle large throughput. Azure Translator was provisioned to process millions of documents and over a billion words annually, with configuration focused on automated batch and real-time text translation capabilities typical of Natural Language Processing deployments.
Operational coverage extended across Volkswagen Group departments in Germany and international business units, delivering translated content into business intelligence reporting, customer support channels, and internal communication workflows. The implementation was part of Volkswagen Group's broader Azure partnership announced in 2018 and functioned as a shared language service for multiple business functions.
Governance centralized translation processes and model controls to align with EU data protection requirements, with data residency and compliance considerations embedded in the Azure Translator deployment. Reported outcomes included faster turnaround on translations and the ability to handle very high volumes of content while meeting the stated EU data-protection requirements.
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