Automotive IQ compiled a market report offering a detailed overview of how AI is transforming SDVs throughout their entire lifecycle, from development and testing to deployment and real-time operation. The report explores key AI technologies, applications such as autonomous driving and predictive maintenance, and examines critical challenges including cybersecurity, data privacy, and regulatory compliance.

Automotive IQ recently interviewed Cedric Armand, Director of Virtualization at Ford Motor Company, Ahsan Qamar, SDV and System Engineering and Integration Expert at Leading OEM, and Gauri Kulkarni, Technical Program Leader for the Global Next-Gen Connectivity Initiative at Cummins, to discuss the shift to software-defined vehicles.

The piece includes:

• The Shift Embedded in Software Development - with Cedric Armand
• Quick-Fire Interview - with Ahsan Qamar
• Architectural Challenges in Software and Electronic Systems - with Gauri Kulkarni

In this exclusive interview, Lakshmi Prasad Bhatta, Vehicle Safety Engineer at Mahindra Automotive, discusses how AI, machine learning, and Generative AI are transforming vehicle safety, particularly in autonomous systems.

Prasad highlights the critical role of sensors, machine learning, and Generative AI in enabling real-time decision-making, anticipating road hazards, and improving system resilience under complex driving scenarios. 

In the rapidly evolving landscape of automotive technology, the shift towards Software-Defined Vehicles (SDVs) presents both challenges and opportunities. Iveco Group has been at the forefront of this transformation, leveraging innovative strategies and cutting-edge technologies to adapt its development processes and methodologies.

In this case study, Demetrio Cortese, Embedded Software Development Manager of Iveco Group explores how the organization is aligning with the SDV paradigm, emphasizing the critical role of simulation technologies, the balance between proprietary and open-source solutions, and the company’s overarching strategy to drive innovation and meet customer expectations.

• Simulation Technologies to Accelerate SDV Development
• Proprietary Solutions vs Open-Source Projects
• Revenue Generation, Cutting Costs, and Meeting Customer Expectations
• Standing Out in the Market
• Electronic Control Units (ECUs)
• Iveco Group’s Strategy to Align with SDVs
  

Take a look at who attended SDV & AI in Automotive USA 2025 by downloading the attendee list

Vehicles, as we know them are changing and getting completely overhauled. OEMs are facing a completely new paradigm where they are not only transforming a 100-year-old industry, but also trying to sell a new product which involves maintaining and updating it throughout its lifecycle. Companies are working hard but in a continuously evolving market, automotive companies are on a steep learning curve to deliver early versions of Software-Defined Vehicles (SDVs).

As the automotive industry continues to step toward a future defined by SDVs, Automotive IQ spoke with Partha Goswami, the Former Professional Fellow of Technology & Trends at General Motors. In this interview, Partha shares invaluable insights gleaned from his extensive experience in the automotive sector, offering a comprehensive overview of the challenges, successes, and future trajectory of SDV development.

Discussion highlights:

• General Motors’ SDV Journey
• Establishing and Overcoming the Challenges
• Generating Revenue from SDVs and Alternative Revenue Models
• Long-Term Viability of Fully Electric EVs and its Impact on SDV Adoption
• Staying Ahead in the Market Amidst Tesla’s Influence