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Investment in automotive engineering research and development (ER&D) is projected to grow at an annual rate of 89% until 2030, potentially reaching USD 540 billion. This surge is driven by advancements in connected mobility, digital vehicles, sustainability, and artificial intelligence (AI). Automakers are challenged to balance the high costs of software development while integrating eco-friendly technologies and AI systems.
The automotive industry is increasingly adopting technologies like driverless vehicles and advanced driver assistance systems (ADAS) to enhance user experiences. Sustainability remains a priority, with manufacturers investing in solutions that meet stringent emission standards. Collaboration with tech giants like Google and AWS is essential for maximizing AI's potential in vehicle development and safety.
• Automotive ER&D spending expected to reach USD 540 billion by 2030.
• AI integration is crucial for developing autonomous driving systems.
AI is leveraged in the automotive sector to enhance design, development, and safety features.
This concept is transforming cars into platforms for personalized user experiences.
ADAS is increasingly integrated into vehicles to improve user experience and safety.
Google is relevant for its collaboration in AI-based software integration for the automotive industry.
AWS plays a significant role in supporting AI applications within the automotive sector.
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