Automotive cloud services have seen significant advancements in 2024, driven by the increasing penetration of intelligent connected vehicles. The development of automotive cloud services is experiencing a shift towards AI foundation models and NOA installations in vehicles, leading to an expansion in the demand for cloud services. Additionally, deep integration of cloud platform tool chains is taking place, revolutionizing the way automotive software is developed.
The installation of AI foundation models and NOA in vehicles is creating new requirements for cloud services. These include the need for robust hardware infrastructure to support the computing power required for these models. Moreover, the software solutions for AI foundation models and NOA installations are increasing the demand for cloud services, as the frequency of user interactions and data processing escalates.
Cloud vendors such as Alibaba Cloud and AWS are collaborating with automotive companies to provide cloud-based solutions for AI assistants and automated data processing. These partnerships are driving innovation in the automotive cloud services sector, enabling seamless integration of cloud platforms and tool chains.
Furthermore, the deep integration of cloud platform tool chains is reshaping the automotive industry, enabling end-to-end intelligent driving development. Cloud service solutions now encompass data integration and decision support across various stages of the automotive lifecycle, from design and development to production management and after-sales service.
Cloud native technology is also making waves in the automotive sector, changing the way software is developed and deployed. OEMs are leveraging cloud native applications to optimize computing power management, service mesh, API gateway, data management, and cloud resource utilization. This technology is enhancing the efficiency and reliability of autonomous driving systems and intelligent cockpits.
For instance, NIO is utilizing cloud-native technology to build a vehicle-cloud collaborative development platform, addressing challenges related to computing power and edge node management. This platform enables efficient data analysis for new energy vehicle battery health and safety, as well as software test management on the vehicle side.
In conclusion, the automotive cloud services industry is evolving rapidly, driven by AI foundation models, NOA installations, and cloud native technology. The deep integration of cloud platform tool chains and the seamless collaboration between cloud vendors and automotive companies are paving the way for a new era of connected and intelligent vehicles.
