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Insights into Automotive Cloud, 2025–2030

Publisher Frost & Sullivan
Published Jan 23, 2026
Length 77 Pages
SKU # MC20790622

Description

The automotive sector is undergoing a profound shift toward the software-defined vehicle, transforming cars into dynamic, upgradeable digital platforms. This transition critically demands advanced cloud computing to manage, process, and secure the vast amounts of data generated, establishing data management as a core strategic imperative for original equipment manufacturers (OEMs) across their vehicle, enterprise, and manufacturing operations.

This report first defines the underlying cloud service and deployment models, assessing their key interests for OEMs. It then outlines seven critical use cases where cloud adoption delivers significant value, ranging from R&D efficiency to enhanced customer experiences. This analysis is supported by real-world examples and detailed case studies illustrating the tangible business outcomes achieved through strategic OEM-cloud service provider (CSP) partnerships.

A core component of the study is the comprehensive benchmarking of global CSPs. Analysis reveals that AWS, Azure, and Google Cloud dominate the automotive cloud landscape in the United States and the European Union, while local providers like Alibaba, Tencent, and Huawei maintain strong leadership in the Chinese market. The study evaluates these providers against defined KPIs to map partnerships and highlight key areas of differentiation.

Ultimately, cloud technology is identified as a strategic enabler for unlocking new business models and accelerating personalized customer experiences. The central recommendation is for OEMs to adopt a multi-cloud strategy. This approach capitalizes on the specific strengths of each leader, such as Azure and AWS for all-around excellence, Google for infotainment, and regional players for local market integration, to balance compliance and control and enable sustained competitive advantage.

Table of Contents

77 Pages
Introduction
Scope of Analysis
What Is Cloud?
Abbreviations and Acronyms
Overview of the Structure and Content
Why Is It Increasingly Difficult to Grow?
The Strategic Imperative 8™
The Impact of the Top 3 Strategic Imperatives on the Integration of Cloud Technology in the Automotive Industry
Vehicle Data Processing Locations
Cloud Processing in Automotive
Cloud Technology Benefits for the Automotive Industry
Cloud Service Models
Cloud Service Models Summary
Cloud Deployment Model 1: Public Cloud
Cloud Deployment Model 2: Private Cloud
Cloud Deployment Model 3: Hybrid Cloud
Cloud Deployment Models Assessment
OEM Pain Points and Cloud Technology Potential
Where Cloud Services Could Be Used in the Automotive Ecosystem?
Use Cases
Automotive Use Cases Supported by the Cloud Technology
Cloud for Industry 4.0
Cloud for Industry 4.0 Case Study: Volkswagen and AWS
Cloud for Connected Vehicles
Cloud for Connected Vehicles Case Study: BMW ConnectedDrive
Cloud for ADAS and AVs
Cloud for ADAS and AVs Case Study: Volkswagen ADP
Cloud for EVs
Cloud for EVs Case Study: Ford BlueOval Intelligence
Cloud for Generative AI
Cloud for Generative AI Case Study: MB.OS Azure OpenAI
Cloud for In-Vehicle Infotainment
Cloud for In-Vehicle Infotainment Case Study: BMW Open Mobility Cloud
Cloud for OTA Updates and Cybersecurity
Cloud for OTA Updates and Cybersecurity Case Study: Toyota MSPF
Key Takeaways
Benchmarking
Major CSP Partnerships with OEMs
Assessment of the 3 Largest CSPs in the Automotive Industry
Top 10 Trends Driving Automotive Cloud Demand
6 Key KPIs for Assessing Automotive CSPs
Benchmarking CSPs on 6 Key KPIs
Benchmarking and Comparing Major CSPs Based on the 6 Key KPIs
Major CSPs’ Positioning: Global Coverage and Automotive Maturity
Major CSPs’ Positioning: Enabling Technology Leadership
Conclusion
Current Major OEMs’ Cloud Strategies
Best Practices for Automakers
Growth Opportunity Analysis
Growth Drivers
Growth Restraints
Growth Opportunity Universe
Growth Opportunity 1: Enable Smart Manufacturing and Digital Twins
Growth Opportunity 2: Accelerate Vehicle Innovation with AI, Software-Defined Platforms, and Cloud-Enabled OTA Updates
Growth Opportunity 3: Unlock New Revenue Streams Through Tailored In-Vehicle Experiences
Next Steps
Benefits and Impacts of Growth Opportunities
Next Steps
List of Exhibits
Legal Disclaimer
Introduction
Introduces the different locations where vehicle data can be processed
Defines the role of cloud processing, and outlines the main cloud service and deployment models
Assesses the models, highlighting the key pain points of OEMs and areas where cloud technologies can provide significant benefits
Use Cases
Defines the 7 main use cases in the automotive industry where cloud adoption creates significant value
Outlines the objective of each cloud technology use case, illustrates it with examples
Presents a detailed case study highlighting the what, why, and how of a partnership between an OEM and a CSP
Concludes with key takeaways, summarizing the tangible benefits OEMs achieved through cloud integration
Benchmarking
Maps partnerships between CSPs and OEMs
Identifies the top 10 trends driving demand for automotive cloud solutions
Establishes the key KPIs that will serve as the basis for assessing and comparing the CSPs
Presents conclusions that outline implications for OEMs and recommendations for engaging with CSPs
Conclusions
Summarizes OEMs’ strategic approaches and the recommended best practices for future success

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