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Nissan car development is entering a faster phase as the company reduces vehicle creation time from 55 months to 26 months. The Japanese automaker is using artificial intelligence and lessons from Chinese manufacturers to accelerate new model launches.
The strategy was announced by Nissan Motor Co. on June 12. The company aims to respond more quickly to competition in electric vehicles and smart technologies.
According to Nissan President Ivan Espinosa, the new Nissan car development process has already been tested. The latest generation Skyline, planned for launch in winter 2026, was developed using this approach.
Nissan expects the system to cover 90 percent of vehicle development projects during fiscal year 2026.
China Experience Shapes New Strategy
Nissan's operations in China played a major role in shaping the new process.
Through its partnership with Dongfeng Motor, the company combined local expertise with advanced technology. This collaboration helped Nissan identify faster methods for designing and producing vehicles.
The Nissan N7 electric vehicle became an early example of the strategy. Launched in April 2025, the model reached completion in only two years.
This result encouraged broader adoption across future projects.
How AI Supports Nissan Car Development
Artificial intelligence now contributes throughout the vehicle creation cycle.
During the design phase, AI generates multiple concepts quickly. It evaluates vehicle appearance and aerodynamic performance simultaneously.
The technology helps engineers review more options within shorter periods.
Key AI applications include:
- Faster vehicle design generation
- Aerodynamic analysis
- Data-driven decision making
- Supply chain forecasting
- Virtual testing and validation
These capabilities reduce delays and improve workflow efficiency.
Virtual Testing Replaces Physical Prototypes
Nissan has significantly expanded virtual testing.
More than 60 percent of physical prototype evaluations have been replaced by digital simulations. Engineers can conduct crash and durability assessments using virtual models.
This approach reduces costs and shortens development schedules.
AI also analyzes large datasets rapidly. Faster insights support quicker approvals and better responses to market changes.
Supply Chain Benefits and Market Challenges
The new Nissan car development strategy extends beyond engineering.
AI predicts spare-parts demand and identifies possible supply disruptions. These forecasts help accelerate movement from research and development to mass production.
Despite these advances, Nissan continues facing pressure in China.
In May 2026, the company sold 30,025 vehicles in the country. Sales declined 41.1 percent compared with the same month last year.
The Chinese automotive market remains highly competitive. Electric vehicle makers and AI-driven technologies continue expanding rapidly.
Nissan believes faster development cycles will provide a valuable advantage in this evolving industry. The company hopes the efficient system will strengthen competitiveness while supporting future vehicle innovation.
