세계의 소프트웨어 정의 차량 시장

The global market for software-defined vehicles (SDV) was valued at $391.2 billion in 2024 and is estimated to increase from $475.4 billion in 2025 to reach $1.6 trillion by 2030, at a compound annual growth rate (CAGR) of 27.3% from 2025 through 2030.

The Asia-Pacific market for software-defined vehicles was valued at $208.1 billion in 2024 and is estimated to increase from $250.9 billion in 2025 to reach $806.8 billion by 2030, at a CAGR of 26.3% from 2025 through 2030.

The North American market for software-defined vehicles was valued at $66.9 billion in 2024 and is estimated to increase from $83.7 billion in 2025 to reach $320.0 billion by 2030, at a CAGR of 30.8% from 2025 through 2030.

Report Scope

The software-defined vehicles (SDV) market report is segmented into SDV type, electrical and electronic architecture, vehicle type and propulsion. The report analyzes the market for the U.S., Canada, China, Japan, Germany, France and the U.K., where the opportunity for SDV is gaining momentum. The regional analysis covers North America, Europe, Asia-Pacific and the Rest of the World (South America, the Middle East, and Africa).

The report is prepared in an easy-to-understand format. The tables and figures illustrate historical, current and future market scenarios. The report considers 2024 as the base year with 2025 as the estimated year, and market values are forecasted for five years until 2030. All market values in the report are in US$ (billion).

Report Includes

• 44 data tables
• Industry insights and a brief overview of the global market data for software-defined vehicles
• Analyses of the global market trends, with data of 2024, estimates for 2025, and projections of five-year compound annual growth rates (CAGRs) through 2030
• Estimation of the actual market size and revenue forecasts for software-defined vehicles, and market share analysis by SDV type, electrical and electronic architecture, vehicle type, propulsion type, source, and function of these products with major regions and countries involved
• Country specific sales data and analysis for the U.S., Canada, Mexico, U.K., France, Germany, Italy, China, Japan, India, South Korea, South America, Middle East and Africa

Table of Contents

Chapter 1 Executive Summary

• Market Scope
• Market Summary
• Market Dynamics and Growth Factors
• Future Trends and Development
• Segmental Analysis
• Regional Insights and Emerging Markets
• Conclusion

Chapter 2 Global Software-Defined Vehicles Market

• Geographic Breakdown
• Key Takeaways

Chapter 3 North American Software-Defined Vehicles Market

• Key Takeaways
• North American Market for Software-Defined Vehicles, by Country
• North American Market for Software-Defined Vehicles, by SDV Type
• North American Market for Software-Defined Vehicles, by Electrical and Electronic Architecture
• North American Market for Software-Defined Vehicles, by Vehicle Type
• North American Market for Software-Defined Vehicles, by Propulsion

Chapter 4 Europe Software-Defined Vehicles Market

• Key Takeaways
• European Market for Software-Defined Vehicles, by Country
• European Market for Software-Defined Vehicles, by SDV Type
• European Market for Software-Defined Vehicles, by Electrical and Electronic Architecture
• European Market for Software-Defined Vehicles, by Vehicle Type
• European Market for Software-Defined Vehicles, by Propulsion

Chapter 5 Asia-Pacific Software-Defined Vehicles Market

• Key Takeaways
• Asia-Pacific Market for Software-Defined Vehicles, by Country
• Asia-Pacific Market for Software-Defined Vehicles, by SDV Type
• Asia-Pacific Market for Software-Defined Vehicles, by Electrical and Electronic Architecture
• Asia-Pacific Market for Software-Defined Vehicles, by Vehicle Type
• Asia-Pacific Market for Software-Defined Vehicles, by Propulsion

Chapter 6 Rest of World Software-Defined Vehicles Market

• Key Takeaways
• RoW Market for Software-Defined Vehicles, by Country
• RoW Market for Software-Defined Vehicles, by SDV Type
• RoW Market for Software-Defined Vehicles, by Electrical and Electronic Architecture
• RoW Market for Software-Defined Vehicles, by Vehicle Type
• RoW Market for Software-Defined Vehicles, by Propulsion

Chapter 7 Full-Software-Defined Vehicles Market

• Key Takeaways
• Global Market for Full-Software-Defined Vehicles, by Region
• Global Market for Full-Software-Defined Vehicles, by Country

Chapter 8 Semi-Software-Defined Vehicles Market

• Key Takeaways
• Global Market for Semi-Software-Defined Vehicles, by Region
• Global Market for Semi-Software-Defined Vehicles, by Country

Chapter 9 Distributed Architecture Market

• Key Takeaways
• Global Market for Distributed Architecture Software-Defined Vehicles, by Region
• Global Market for Distributed Architecture Software-Defined Vehicles, by Country

Chapter 10 Domain Centralized Architecture Market

• Key Takeaways
• Global Market for Domain Centralized Architecture Software-Defined Vehicles, by Region
• Global Market for Domain Centralized Architecture Software-Defined Vehicles, by Country

Chapter 11 Zonal Architecture Market

• Key Takeaways
• Global Market for Zonal Architecture Software-Defined Vehicles, by Region
• Global Market for Zonal Architecture Software-Defined Vehicles, by Country

Chapter 12 Passenger Cars Market

• Key Takeaways
• Global Market for Software-Defined Passenger Cars, by Region
• Global Market for Software-Defined Passenger Cars, by Country

Chapter 13 Commercial Vehicles Market

• Key Takeaways
• Global Market for Software-Defined Commercial Vehicles, by Region
• Global Market for Software-Defined Commercial Vehicles, by Country

Chapter 14 Internal Combustion Engine Vehicles Market

• Key Takeaways
• Global Market Shares for Software-Defined Internal Combustion Engine Vehicles, by Region
• Global Market Shares for Software-Defined Internal Combustion Engine Vehicles, by Country

Chapter 15 Electric Vehicles Market

• Key Takeaways
• Global Market for Software-Defined Electric Vehicles, by Region
• Global Market for Software-Defined Electric Vehicles, by Country

Chapter 16 Appendix

• Research Methodology