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2026 State of Automotive Software Development Report
- Chapter 1 - What Are the Top Market Challenges Impacting Automotive Software Development?
- Chapter 2 - The Leading Concerns in Automotive Software and Technology Development
- Chapter 3 - Areas of Automotive Software Development
- Chapter 4 - Adoption & Implementation of Shift-Left
- Chapter 5 - Recalls and Software Vulnerabilities
- Chapter 6 - Automotive Software Security
- Chapter 7 - How Are Software-Defined Vehicles (SDVs) Affecting Developers?
- Chapter 8 - Leading Trends in Automotive AI
- Chapter 9 - Why Standards Compliance Remains Vital for Automotive Development
- Chapter 10 - Key Coding Standards for Automotive Software Development
- Chapter 11 - How Development Teams Manage Their Work
- Chapter 12 - Which Software Tools Development Teams Are Using
- Chapter 13 - Open-Source Automotive Software
- Chapter 14 - Why Perforce Software Solutions Remain Essential for Automotive Software Development
- About the Survey — Appendix
Report > 2026 State of Automotive Software Development Report
Chapter 11 - How Development Teams Manage Their Work
C and C++ Are Still the Most Commonly Used Programming Languages
Based on our survey results, C now takes a slight lead over C++ compared to the previous year, increasing by 6%, though both are still leading programming languages for automotive software development.
For the first time in our annual results, the use of Python, which is the preferred language for AI and ML applications, increased over C++ use, with 48% of teams using Python, an increase of 12% year over year.
The use of Rust also saw a slight increase of 2% since last year, while other languages had similar results as last year. The Rust language is growing in importance for safety-critical environments, including automotive, because of its native mechanisms that help prevent the writing of unsafe code.
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