Audi Germany
Audi Germany Technographics
Audi Germany Software Purchases and Digital Transformation Initiatives
Discover the latest software purchases and digital transformation initiatives being undertaken by Audi Germany and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 54000 Audi Germany employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Audi Germany has purchased the following applications: VMware Private AI Foundation with NVIDIA for AI infrastructure in 2024, Salesforce Chat (formerly Salesforce Live Agent) for Chatbots and Conversational AI in 2020, Atlassian Teamwork Collection for Collaboration in 2007 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Audi Germany is running and its propensity to invest more and deepen its relationship with VMware by Broadcom , Salesforce , Atlassian or identify new suppliers as part of their overall Digital and IT transformation projects to stay competitive, fend off threats from disruptive forces, or comply with internal mandates to improve overall enterprise efficiency.
We have been analyzing Audi Germany revenues, which have grown to $81.04 billion in 2024, plus its IT budget and roadmap, cloud software purchases, aggregating massive amounts of data points that form the basis of our forecast assumptions for Audi Germany intention to invest in emerging technologies such as AI, Machine Learning, IoT, Blockchain, Autonomous Database or in cloud-based ERP, HCM, CRM, EPM, Procurement or Treasury applications.
Audi Germany Data, Technology Stack, and Enterprise Applications
AI Development
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| VMware by Broadcom | Legacy | VMware Private AI Foundation with NVIDIA | AI infrastructure | AI Development | n/a | 2024 | 2025 |
In 2024, Audi Germany is positioned to adopt VMware Private AI Foundation with NVIDIA, leveraging its existing VMware Cloud Foundation private cloud that centralizes infrastructure for factory automation and smart manufacturing in Germany. This positioning links Audi Germany, VMware Private AI Foundation with NVIDIA, and the AI infrastructure category to on‑premises initiatives that support industrial automation and manufacturing engineering functions.
The inferred implementation profile anticipates core AI infrastructure capabilities such as model lifecycle management, Kubernetes based model orchestration, GPU scheduling and acceleration for training and inference, and secured data access controls. VMware Private AI Foundation with NVIDIA would be configured to run on top of the VMware Cloud Foundation stack already used by Audi, aligning compute virtualization and container orchestration with GPU resources for operational AI workloads.
Integrations are described explicitly around VMware Cloud Foundation and NVIDIA GPU acceleration, with operational coverage focused on Audi’s factory automation and smart manufacturing environments in Germany. The deployment structure is centralized private cloud infrastructure, enabling model development and inference workloads to be hosted within Audi’s controlled data centers rather than public cloud footprint, consistent with the AI infrastructure posture.
Broadcom and VMware public messaging lists Audi as a VMware Cloud Foundation customer and positions VCF customers to adopt the joint Private AI solution, therefore the use of VMware Private AI Foundation with NVIDIA at Audi is presented as an informed inference rather than a confirmed standalone case study. Implementation would require governance for model access, data protection, and phased rollout across manufacturing sites, and this narrative explicitly notes that public sources confirm VCF use but do not publish a dedicated Private AI case study for Audi.
|
AI-Powered Application
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Salesforce | Legacy | Salesforce Chat (formerly Salesforce Live Agent) | Chatbots and Conversational AI | AI-Powered Application | n/a | 2020 | 2020 |
|
Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Atlassian | Legacy | Atlassian Teamwork Collection | Collaboration | Collaboration | n/a | 2007 | 2007 |
In 2007, Audi Germany implemented the Atlassian Teamwork Collection as a Collaboration platform for its R&D engineering organization. Audi Germany implemented Atlassian Teamwork Collection to centralize requirements, bug tracking, and enterprise documentation across engineering and supplier touchpoints, aligning the application with product development and systems engineering functions.
The deployment used Jira for issue and requirement tracking and Confluence for documentation and knowledge management, with configuration focused on standardized issue lifecycles, requirement linking, and searchable technical documentation. Atlassian Teamwork Collection was configured to support engineering workflows, defect triage, requirement traceability, and onboarding documentation to reduce friction when new projects and teams ramped.
Operational coverage emphasized R&D engineering teams and supplier-facing workflows across Europe, embedding the Collaboration platform into cross-team project processes rather than replacing any named prior system. The implementation centralized technical records and bug history to create a single source of truth for engineering teams and supplier interactions.
Governance centered on documented process standards for issue classification and documentation ownership, and rollout prioritized engineering teams with shared practices for requirements and knowledge contribution. The deployment explicitly improved transparency and efficiency across global supplier and engineering workflows in Europe, resulting in faster project on-boarding and better cross-team collaboration.
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eCommerce
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
 |
|
|
eCommerce | eCommerce |
|
2010 | 2010 |
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CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
Data Management Platform | CRM |
|
2020 | 2020 |
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ITSM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
Application Lifecycle Management | ITSM |
|
2005 | 2006 |
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PaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
Apps Development | PaaS |
|
2020 | 2020 |
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Operating System (OS) | PaaS |
|
2008 | 2008 |
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IaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
Application Hosting and Computing Services | IaaS |
|
2021 | 2021 |
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Application Hosting and Computing Services | IaaS |
|
2024 | 2024 |
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Content Delivery Network | IaaS |
|
2020 | 2020 |
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Content Delivery Network | IaaS |
|
2024 | 2024 |
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Domain Name System (DNS) | IaaS |
|
2023 | 2023 |
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CyberSecurity
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
Secure Sockets Layer (SSL) | CyberSecurity |
|
2019 | 2019 |
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Physical Security
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
Mass Notification System | Physical Security |
|
2019 | 2019 |
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IT Decision Makers and Key Stakeholders at Audi Germany
| First Name | Last Name | Title | Function | Department | Phone | |
|---|---|---|---|---|---|---|
| No data found | ||||||
Apps Being Evaluated by Audi Germany Executives
| Date | Company | Status | Vendor | Product | Category | Market |
|---|---|---|---|---|---|---|
| No data found | ||||||
FAQ - APPS RUN THE WORLD Audi Germany Technographics
Audi Germany is a Automotive organization based in Germany,
with around 54000 employees and annual revenues of $81.04 billion.
Audi Germany operates a diverse technology stack with applications such as
VMware Private AI Foundation with NVIDIA, Salesforce Chat (formerly Salesforce Live Agent) and Atlassian Teamwork Collection,
covering areas like AI infrastructure, Chatbots and Conversational AI and Collaboration.
Audi Germany has invested in cloud applications and AI-driven platforms to optimize efficiency and growth,
collaborating with vendors such as VMware by Broadcom, Salesforce and Atlassian.
Audi Germany recently adopted applications including
VMware Private AI Foundation with NVIDIA in 2024, Amazon EC2 in 2024 and Amazon CloudFront in 2024,
highlighting its ongoing modernization strategy.
APPS RUN THE WORLD maintains an up-to-date database of Audi Germany’s key decision makers and IT executives,
available to Premium subscribers.
Our research team continuously updates Audi Germany’s profile with verified software purchases,
vendor relationships, and digital initiatives identified from public and proprietary sources.
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