List of Microsoft Azure AI Platform Customers
Microsoft
One Microsoft Way,
Redmond, 98052-6399, WA,
United States
Redmond, 98052-6399, WA,
United States
1 425-882-8080
Professional Services
228000
$320.0B
Since 2010, our global team of researchers has been studying Microsoft Azure AI Platform 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 AI Platform 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 AI Platform for ML and Data Science Platforms include: Munich Re, a Germany based Insurance organisation with 43306 employees and revenues of $67.13 billion, HP, a United States based Manufacturing organisation with 58000 employees and revenues of $53.60 billion, NFL, a United States based Leisure and Hospitality organisation with 7100 employees and revenues of $23.00 billion, FujiFilm, a Japan based Manufacturing organisation with 72593 employees and revenues of $21.83 billion, OpenAI, a United States based Professional Services organisation with 4000 employees and revenues of $13.10 billion and many others.
Contact us if you need a completed and verified list of companies using Microsoft Azure AI Platform, 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 Artificial Intelligence software purchases.
The Microsoft Azure AI Platform 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 Artificial Intelligence 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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Birla Corporation | Manufacturing | 7184 | $4.7B | India | Microsoft | Microsoft Azure AI Platform | ML and Data Science Platforms | 2019 | MSRcosmos |
In 2019, Birla Corporation implemented Microsoft Azure AI Platform to accelerate analytics and enable AI-driven predictive insights across its SAP-driven manufacturing operations. The deployment placed Microsoft Azure AI Platform within the ML and Data Science Platforms category, aligning cloud-native data and AI services to production, logistics, and supply chain management use cases for the cement division that operates 13 plants across five states.
MSRCosmos LLC led the technical replatforming and SAP modernization engagement, designing a highly available and durable SAP landscape on Azure. The program included a replatform of SAP runtime to Linux on Azure, an Oracle database upgrade to Oracle 12c, operating system hardening for SAP workloads, and provisioned premium storage and contemporary CPU architectures to optimize performance with lower compute allocations.
The implementation spanned production and nonproduction estates, with multiple Dev Test and UAT migration mocks to validate cutover sequencing and minimize downtime for the final production migration. Integrations centered on SAP ERP and the Oracle database stack running on Azure infrastructure, and the Azure environment was provisioned to enable downstream consumption of Azure data and AI services for future ML workloads and analytics pipelines.
Governance activities included a cloud readiness assessment, a scrupulous migration plan co-developed by Birla Corporation, MSRCosmos LLC, and Microsoft, and scripted cutover procedures to achieve the targeted low downtime. Post go-live outcomes explicitly reported include a 60 percent reduction in infrastructure costs and improved SAP performance despite reduced compute allocations, while the Microsoft Azure AI Platform established a foundational ML and analytics surface for subsequent data science initiatives.
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Dentsu International (previously Dentsu Aegis Network) | Media | 25000 | $3.0B | United Kingdom | Microsoft | Microsoft Azure AI Platform | ML and Data Science Platforms | 2017 | x |
In 2017, Dentsu International (previously Dentsu Aegis Network) ran a proof-of-concept that implemented the Microsoft Azure AI Platform within the ML and Data Science Platforms category, focused on out-of-home advertising measurement. The December 2017 pilot incorporated interactive functionality at OOH endpoints to generate feature-rich audience data, enabling Dentsu to report the number and kind of people seeing specific OOH ads for the first time and addressing a key barrier to OOH growth.
The implementation leveraged the Microsoft Azure AI Platform architecture to provide cloud-hosted AI capabilities, data ingestion, and analytics workflows, with Azure cited for its flexibility and stability. The deployment emphasized interactive capture modules and analytics pipelines consistent with ML and Data Science Platforms, and the solution produced behavioral and audience attribute data used for campaign effectiveness measurement.
Operational scope centered on OOH advertising campaigns and customer-facing campaign measurement, affecting media planning, campaign analytics, and client reporting functions. Technical and project management support was provided by Microsoft during the proof-of-concept, and the initiative produced the explicit outcome of enabling Dentsu to offer advertisers information about audience counts and characteristics for OOH placements.
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FujiFilm | Manufacturing | 72593 | $21.8B | Japan | Microsoft | Microsoft Azure AI Platform | ML and Data Science Platforms | 2016 | x |
In 2016, FujiFilm's FUJIFILM Software implemented Microsoft Azure AI Platform to embed automated player tagging into its IMAGE WORKS image file management and sharing service, supporting Nippon Professional Baseball Organization adoption to centrally manage game photos. This work used the Microsoft Azure AI Platform within the ML and Data Science Platforms category to add machine learning capabilities to content workflows and to deliver tagged imagery to corporate users.
The implementation deployed an original image classification model and a player name auto-tagging function as core functional modules. The image classification model was built using Microsoft Azure Cognitive Services together with the Microsoft Cognitive Toolkit, and the auto-tagging capability was integrated into IMAGE WORKS to attach player metadata to photos at ingestion and to enable downstream retrieval by corporate consumers.
Processing orchestration and performance optimization were handled with Azure Durable Functions to shorten processing times and to coordinate asynchronous image analysis jobs. The architecture centralized image processing within IMAGE WORKS, linking the classification and tagging pipeline to IMAGE WORKS file management and distribution layers for enterprise sharing of large content volumes.
Operational scope focused on sports media operations for the Nippon Professional Baseball Organization, impacting media management, photo operations, and content distribution workflows. FUJIFILM Software reported a drastic reduction in manual tagging workload and shorter processing times as explicit outcomes of the Microsoft Azure AI Platform implementation.
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G2A.COM Hong Kong | Professional Services | 700 | $100M | Hong Kong | Microsoft | Microsoft Azure AI Platform | ML and Data Science Platforms | 2017 | x |
In 2017, G2A.COM Hong Kong implemented Microsoft Azure AI Platform to power an AI driven recommendation system and an intelligent anti fraud system. The Microsoft Azure AI Platform deployment supported commerce personalization and fraud prevention across the G2A ecosystem, and the platform is categorized as ML and Data Science Platforms.
The implementation included model training and deployment pipelines, feature engineering, batch and online inference capabilities, and a recommendation engine tuned to transaction and conversion signals. Microsoft Azure AI Platform hosted model training workloads, served inference at scale, and managed model versioning and artifacts for repeatable model operations.
Operational scope covered commerce, payments, and trust and safety functions, with data ingestion from transaction and behavioral feeds into the AI pipelines. Integrations emphasized telemetry and event data feeds into the platform for scoring and automated decisioning, enabling real time recommendation serving and fraud alerts within operational workflows.
Governance and rollout practices included staged rollouts, model monitoring and observability, and continuous retraining to maintain model alignment with marketplace behavior, with operational ownership shared between product engineering and fraud prevention teams. Outcomes explicitly stated by G2A.COM include increased transaction and conversion volume from the recommendation system, and protection of all G2A ecosystem users through the intelligent anti fraud system.
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HP | Manufacturing | 58000 | $53.6B | United States | Microsoft | Microsoft Azure AI Platform | ML and Data Science Platforms | 2017 | x |
In 2017, HP implemented Microsoft Azure AI Platform to underpin a conversational virtual agent and AI-enabled customer service workflows. The deployment emphasized ML and Data Science Platforms capabilities and incorporated the Microsoft Dynamics 365 AI solution for customer service to improve both self-service and contact center support delivery.
The implementation delivered a customer-facing virtual agent for conversational problem resolution plus agent assist capabilities that provide support staff with instant access to troubleshooting information. Core functional modules included natural language understanding and dialog orchestration, knowledge retrieval and QnA, and analytics for incident categorization and trend detection, all hosted on Microsoft Azure AI Platform.
Operational scope covered HP technical support channels, including customer self-service interfaces and contact center workflows, enabling technicians and agents to surface contextual troubleshooting content during live interactions. Governance and rollout followed a service-first pattern, phasing virtual agent functionality into self-service then contact center use, and instrumenting analytics so HP gains deeper insights into common customer issues as part of ongoing support process refinement.
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Banking and Financial Services | 6000 | $1.5B | Spain | Microsoft | Microsoft Azure AI Platform | ML and Data Science Platforms | 2017 | x |
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Insurance | 43306 | $67.1B | Germany | Microsoft | Microsoft Azure AI Platform | ML and Data Science Platforms | 2017 | x |
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Leisure and Hospitality | 7100 | $23.0B | United States | Microsoft | Microsoft Azure AI Platform | ML and Data Science Platforms | 2025 | n/a |
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Professional Services | 4000 | $13.1B | United States | Microsoft | Microsoft Azure AI Platform | ML and Data Science Platforms | 2022 | n/a |
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Education | 3147 | $840M | Italy | Microsoft | Microsoft Azure AI Platform | ML and Data Science Platforms | 2016 | x |
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Showing 1 to 10 of 10 entries
Buyer Intent: Companies Evaluating Microsoft Azure AI Platform
ARTW Buyer Intent uncovers actionable customer signals, identifying software buyers actively evaluating Microsoft Azure AI Platform. Gain ongoing access to real-time prospects and uncover hidden opportunities. Companies Actively Evaluating Microsoft Azure AI Platform for ML and Data Science Platforms include:
- Globaltelehost Canada, a Canada based Communications organization with 10 Employees
- Shanghai Tanluzhe Outdoor Sporting Goods Co, a China based Retail company with 95 Employees
- Abacus.Ai, a United States based Professional Services organization with 160 Employees
Discover Software Buyers actively Evaluating Enterprise Applications
| Logo | Company | Industry | Employees | Revenue | Country | Evaluated | ||
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FAQ - APPS RUN THE WORLD Microsoft Azure AI Platform Coverage
Microsoft Azure AI Platform is a ML and Data Science Platforms solution from Microsoft.
Companies worldwide use Microsoft Azure AI Platform, from small firms to large enterprises across 21+ industries.
Organizations such as Munich Re, HP, NFL, FujiFilm and OpenAI are recorded users of
Microsoft Azure AI Platform for ML and Data Science Platforms.
Companies using Microsoft Azure AI Platform are most concentrated in Insurance, Manufacturing and Leisure and Hospitality, with adoption spanning over 21 industries.
Companies using Microsoft Azure AI Platform are most concentrated in Germany, United States and Japan, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of Microsoft Azure AI Platform across Americas, EMEA, and APAC.
Companies using Microsoft Azure AI Platform range from small businesses with 0-100 employees - 0%, to mid-sized firms with 101-1,000 employees - 10%, large organizations with 1,001-10,000 employees - 50%, and global enterprises with 10,000+ employees - 40%.
Customers of Microsoft Azure AI Platform 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 AI Platform 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.