Dublin, Dec. 04, 2024 (GLOBE NEWSWIRE) -- The "Automotive Software Business Models and Suppliers' Layout Research Report, 2024" report has been added to ResearchAndMarkets.com's offering.
Software business model research: from 'custom development' to 'IP/platformization', software enters the cost reduction cycle
In 2024, the organizational structure of OEMs are adjusted more and more frequently, and strategies need to be adjusted in real time to cope with the fiercely competitive automotive market. Some OEMs adjust their organizational structure in order to stabilize the company's sales and other status quo, and some adjust their organizational structure, especially R & D business team, to promote the company's software and new business focus.
Local OEMs conduct R&D organizational structure change, and restructure software development strategy
In recent years, XPeng Motors has continued to adjust its organizational structure on a large scale, and at the same time proposed a number of measures such as cost reduction and efficiency increase, budget reduction, etc., to face the intelligent and highly competitive automotive market. In July 2024, XPeng Motors' autonomous driving department ushered in another organizational restructuring. Xpeng's autonomous driving department established three new segments: AI model development, AI application development, and AI efficiency development. The AI model development department is mainly responsible for end-to-end model development, which is to strengthen the layout of AI end-to-end intelligent driving technology.
In August 2024, SAIC is unifying R & D business of IM and Rising brands into SAIC Group Innovation Research and Development Institute (referred to as SAIC R & D Institute). Among them, the R & D teams of IM and Rising brands, as well as technical projects such as power batteries, intelligent driving, and chassis, will be centrally migrated to SAIC R & D Institute, and unified and coordinated by R & D Institute.
Multinational automakers strengthen cooperation with China's local software supply chain
At present, the localization development of multinational automakers in China has entered a new stage. This is different from the previous 'sewing' auxiliary decoration and development, but to fundamentally restructure the system, actively adjust the strategy, and actively layout to cope with the new changes in China's auto market. It can be summarized as follows:
At the same time, starting from 2023, Volkswagen will cooperate with Horizon, ThunderSoft, XPeng Motors, SAIC and other local Chinese companies in the fields of E/E architecture, cockpit, intelligent driving, UI/UX and so on.
Software suppliers promote 'customized development' to 'IP/platformization' layout, the software R&D cycle is greatly compressed, and the cost reduction cycle is started
The IP/platformization layout of the software supplier's products helps OEM reduce costs and increase efficiency
At present, the automotive software business mainly includes customized software development and design, technical services, software IP authorization/licensing, and system integration, and the fees mainly include one-time fee NRE, software authorization/licensing, and royalty paid per piece.
In recent years, software suppliers in China's automotive market have mainly focused on software customized development or technical service business. Especially in the field of intelligent cockpit and intelligent driving. As to customized supply model, suppliers need to improve their company's reputation and expand market demand by developing new technologies and solutions through customized development with OEMs at the early stage.
With the emergence of mass production effect, in order to further improve efficiency and achieve large-scale product production at the same time, the software supplier business has gradually developed from 'customization' to 'IP/platformization'. On the one hand, through IP or platformization product layout, OEMs can reduce costs and increase efficiency at a greater level, shorten the development cycle; on the other hand, it is more conducive to the large-scale replication of supplier business and the polishing and optimization of smart vehicle products, expanding the company's profit margins.
Taking cockpit platform products as an example, many suppliers offer cockpit platform products, which not only ensure high performance, but also achieve performance such as shortening development cycles and reducing costs through platform to meet the needs of highly competitive OEMs.
Cloud-native, AI large models help explore new models of software development and shorten development cycles
With the increasing complexity of automotive system software, especially the birth of new applications such as central computing and autonomous driving, application code has become more and more abundant, resulting in new ways of software development, deployment, and management to quickly meet a variety of changing consumer needs.
Among them, cloud-native software development, as a new development model, means moving to a cloud-based development model for automotive application development, enabling software development in the cloud and deployment directly on the edge of the car. Developers deploy and test automotive software applications anytime, anywhere, greatly shortening the development and deployment cycle of in-vehicle system applications.
In September 2023, AWS and Qualcomm announced a collaboration. One of the core of the collaboration is a power builder and infrastructure based on cloud-native technologies to help automakers develop, test and deploy software in the cloud. The partnership project showcases a cloud-based development environment and virtualized Snapdragon SoC platform for testing and validating automotive software in the cloud. The entire architecture design takes full advantage of the flexibility and scalability of cloud computing, enabling developers to carry out efficient development work anywhere in the world.
Based on the open-source community, ETAS builds SDV. OS cloud-native solutions, provides SDV power builder chains, and provides customers with cloud-native development, deployment, and management and analysis solutions.
In addition, as technologies such as AI large models continue to mature, AI large models will lead a new model of automotive software development. More than 60% of automotive software code work will be replaced by large models, and basic application software and other products will continue to develop on a platform. At that time, the concentration of automotive software industry will further increase, and the industry's leadership will become inevitable. The upstream and downstream will enter the 'flywheel acceleration' rally.
Vehicle-level OS platform, OEMs and suppliers coordinate layout
At present, vehicle OS products are mainly composed of standardized middleware such as Hypervisor, underlying OS, AUTOSAR, other core middleware and tool chains, etc., to realize the operating system of the central computing unit software system function. At present, there are three main paths for OEMs in China to deploy vehicle OS: full-stack self-development, internal incubation of Tier1, and joint development.
At present, except for some OEMs with strong R & D strength, most OEMs tend to implement the layout of the whole vehicle OS through the model of joint development with suppliers. In the face of the customized needs of OEMs, the supplier's software development team is an ideal partner for OEMs, which can cooperate in R & D and help customers quickly develop products, shortening product launch time.
In addition, under the trend of SOA software frameworks, cooperation models such as OEMs, Tier1, and software developers are no longer chimney-like, but in-depth strategic cooperation models. Through partnerships and ecological integration, the entire OS can be more open and serve the development of the entire industry.
Key Topics Covered:
1 Analysis of Automotive Software Business Model and Trend
1.1 Overview of Intelligent Vehicle Software Industry Chain
1.2 Software System Supply Chain Establishment and Organizational Structure Adjustment of Major OEMs
1.3 Summary of Business Models of Intelligent Vehicle Software Related Suppliers
1.4 Development Trend of Smart Vehicle Software Business Model
2. Analysis on OEMs' Response to Software Innovation Strategy
2.1 Mercedes-Benz
2.2 BYD
2.3 BMW
2.4 Volkswagen
2.5 Ford
2.6 SAIC
2.7 Great Wall Motor
2.8 Geely
2.9 Changan Automobile
2.10 Xpeng
2.11 Li Auto
2.11.5 Li OS
2.12 FAW
2.13 Chery
3 Automotive Operating System Business and Layout Models
3.1 Status Quo and Trends of Automotive Operating System Business Models
3.2 Vehicle OS
3.3 Main Underlying Automotive Operating Systems
3.4 Main Automotive Middleware Business Models
3.5 AUTOSAR
4 Intelligent Cockpit Business and Layout Models
4.1 Intelligent Cockpit Software System Business Models and Trends
4.2 Automotive HMI Design
4.3 Automotive Voice Business Models and Trends
4.4 Automotive Map Navigation Business Models and Trends
4.5 Automotive Acoustic System
4.6 AR-HUD Software
4.7 In-cockpit Vision (DMS/OMS) Business Models and Trends
4.8 Multi-modal Fusion Interaction
4.9 Cockpit Application of AI Foundation Models
5 Autonomous Driving Business and Layout Models
5.1 Status Quo and Trends of Autonomous Driving System Software Business Models
5.2 Business Models of Mid-to-high-level ADAS Solutions
5.3 L3/L4 Autonomous Driving System Business Models
6 Automotive Cloud Platform Business and Layout Models
6.1 Status Quo and Trends of Cloud Platform Software Business Models
6.2 Cloud Native
6.3 OTA
6.4 TSP/MNO Internet of Vehicles Service Providers
For more information about this report visit https://www.researchandmarkets.com/r/1i4h3e
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