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Seizing the ER&D Advantage : Frontiers for 2030 – Automotive Sector Deep Dive

September 2, 2024 366 1 nasscom insights Engineering Research & Design

Seizing the ER&D Advantage : Frontiers for 2030 – Automotive Sector Deep Dive

Automotive ER&D spend is expected to grow at a CAGR of 8-9%. This growth is primarily driven by growth in xEV, connected mobility, and vehicle software priorities, accompanied by an increasing share of digital engineering activities. As the world witnesses the advancement of the automotive industry, three major mega trends are expected to shape the future of the global auto sector. These include a. Increasing prominence of digital vehicles b. Climate and sustainability solutions playing a key role c. AI integration in the overall vehicle development processes This report is a deep dive into the automotive sector, along with case studies highlighting the mega trends driving the auto sector growth.This sector is expected to be one of the top growth drivers for ER&D sector by 2030 and has been mentioned briefly in last year’s report on seizing the ER&D advantage by 2030.

Key Highlights

  1. Increasing prominence of digital vehicles
  • Autonomous vehicles, software defined vehicles, ADAS, electrification, and connectivity are expected to continue to grow in prominence for the auto sector.
  • Improved value delivery through agile and modular software designs, rising electronics and semiconductor spending are expected to add to this growth.

 

  1. Climate and sustainability solutions playing a key role
    • Climate and Sustainability solutions for the auto sector are expected to play a key role, with a focus to be customer centric, data backed, and compatible, with complementary sustainability measures taken by other sectors.

 

  1. Critical for Auto players to ensure AI enablement
  • This can be done by integrating AI into the vehicle development process and partnering with tech companies for tech hardware and software development, and integration of vehicle stacks with fleet management systems, thereby ensuring safety, and reduction of development time using AI.

 

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