The global shortage of semiconductors or chips in the aftermath of the Covid-19 led pandemic has eased as per a report by Crisil. A development that led most automakers to cut down production significantly and postpone the launch of new models or to put them to production through 2020, 2021, 2022 and a good part of 2023 has finally eased to iron out any supply chain disruptions that may be there. 

Expected to address and improve predictive demand forecast, the better availability of chips should enable better production schedules. By FY2025-26, Crisil analysts are of the opinion that demand-supply dynamics should be more balance with additional manufacturing capacities getting commissioned. 

With the chips possessing distinct electrical properties that make them the cornerstone of all electronic equipment and devices, it is the auto industry that has come to use them for a variety of functions as automobiles turn increasingly software driven. While the computer and communication equipment (C&C) segment consumes roughly 63 percent of the chips produced, the auto industry consumes roughly 13 percent of them. The other industrial segments consume about 12 percent. 

With new developments such as autonomous and EVs, the use of semiconductors in automobiles is only slated to rise. With passenger vehicles the recipient of most technological innovations ahead of other segments such as two-wheelers, three-wheelers and commercial vehicles, it should not come as a surprise that they consume about 1,500 chips on average – the highest among all automobile types. 

As more advanced electronic features are incorporated, the use for chips increases. The electric passenger vehicles, for example, use almost twice as many chips as internal combustion engine (ICE) passenger vehicles do. The improving supply and slowing demand for computers and mobile phones is therefore looked upon as a blessing in disguise for automobiles and their manufacturers. 

Anuj Sethi, Senior Director, CRISIL Ratings, mentioned, “The chip shortage faced by Indian passenger vehicle makers is easing, with current availability at 85-90 percent of total requirement. The production loss on account of the chip shortage, which had halved to about 300,000 PVs on-year in fiscal 2023, is estimated to have further declined to under 200,000 PVs by the end of September 2023.”

Most passenger vehicle manufacturers are currently operating at near optimal capacity utilisation due to stronger-than-anticipated demand. New orders to be serviced remains high at about 700,000 units at the end of September 2023. 

The easing of chip shortage should help automakers honour new orders with better prediction and faster production. Global automobile demand, severely impacted by the Covid-19 pandemic, made a strong recovery in the latter part of FY2021-22. It caught automobile manufacturers off guard as they had not placed substantial orders for chips. 

The surge in demand for personal computers, laptops and mobile phones, driven by work from home, virtual learning and remote healthcare services, led to a significant chip procurement challenge for the automakers. 

Geographically, the chip ecosystem is skewed, with western nations dominating chip architecture, design, manufacturing equipment, specialised materials and chemicals. Semiconductor fabs1 on the other hand are concentrated in eastern nations, such as Taiwan and South Korea.

Given the criticality of chips in the defense and aerospace industries, the United States and the European Union have offered incentives of about USD 100 billion for localisation of semiconductor fabs. As a result, many global players are slated to spend about USD 360 billion towards setting up new facilities, which would be operational by 2025 and 2026. 

In the Indian context, demand for chips will continue to increase over the medium term, driven by the gradual rise in EV adoption and growing demand for advanced feature-laden ICE vehicles.

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Wayve, NVIDIA and Stellantis have announced a joint collaboration alongside the French government at the Assises du Véhicule Autonome to support the deployment of autonomous vehicles in France and across the European Union.

The initiative combines Stellantis’ L4-Ready Platforms with the Wayve AI Driver system, integrating NVIDIA Halos OS on the NVIDIA Hyperion compute and sensor architecture. The collaboration aims to establish an autonomous vehicle value chain in France, spanning silicon development, software integration and vehicle manufacturing.

Local transport partners will engage with trade unions, municipal authorities, and mobility stakeholders to address regulatory alignment, safety requirements, and operational deployment.

Philippe Tabarot, French Minister of Transports, said, "I am pleased to see this collaboration between Wayve, NVIDIA and Stellantis launched at the Autonomous Vehicle Forum in France. France is committed to adapting its regulatory framework to accelerate the development of autonomous vehicles while maintaining strict safety and data sovereignty requirements. By bringing together trade unions, city authorities, and mobility stakeholders, this collaboration embodies the collaborative spirit of the Assises du Véhicule Autonome, as well as the approach required to transition from trials to real-world deployment."

Kaity Fischer, VP Autonomous Mobility & Operations, Wayve, said, "France is leading the way in preparing for autonomous vehicles, and we’re proud to enter this collaboration at such an important moment. By working directly with the French Government and our partners, we can help shape how this technology is deployed safely and responsibly and accelerate its development across the country and entire EU."

Anne Laliron, SVP of Technology Research, Stellantis, said, "This collaboration will help accelerate the delivery of autonomous driving technologies that make mobility safer and more convenient for customers. While its impact is global, France is one of Stellantis’ key centres for engineering and technology development, making it a natural home for advancing the future of AI-powered mobility."

Ali Kani, VP of Automotive, NVIDIA, said, "Bringing safe autonomous mobility to Europe requires deep collaboration across AI, computing and vehicle engineering. NVIDIA Hyperion platform, combined with Wayve’s embodied AI and Stellantis’ automotive expertise, provides a foundation for that ambition. Together with the French Government and local partners, we can help build an ecosystem that brings the benefits of autonomous driving to communities across France and Europe."

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German luxury carmaker Audi has introduced third-generation digital OLED rear lighting technology on the Q91, marking the production debut of three-dimensionally curved digital OLED panels in the automotive industry.

The lighting system incorporates carrier glass measuring 0.1 millimetres in thickness, allowing a bend radius of up to 200 millimetres to match the vehicle's body contours. The Q91 uses six digital OLED panels housing 512 individual segments, including an outer curved panel with 99 segments.

The curved positioning extends light visibility to wider lateral angles and incorporates warning symbols within the communication light system to alert surrounding traffic to breakdowns, emergency braking or accidents. Up to eight digital light signatures are available across static, active and semi-active display settings.

The vehicle also features digital Matrix LED headlights utilising a 13-millimetre micro-LED module containing 25,600 individual micro-LEDs. The headlight system projects high-resolution lane lighting, orientation paths and dynamic turn signal graphics directly onto the road surface to assist lane centring and indicate directional changes to pedestrians and other vehicles.

Audi first introduced OLED technology on the TT RS in 2016, followed by segmented digital OLEDs on the Q5 in 2020 and second-generation panels on the Q6 e-tron in 2024.

Stefan Berlitz, Head of Lighting Development at AUDI AG, said, "At Audi, light means safety first and foremost – seeing and being seen. Digitalisation opens up entirely new possibilities for further enhancing road safety. The curved digital OLED technology in the Audi Q91 impressively demonstrates this technology’s potential. It combines design freedom, personalization, and communication with the vehicle’s surroundings at a new level. Our vision is to gradually transform light into an intelligent means of communication that makes interaction between the vehicle and its surroundings even safer and more intuitive."

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European ride-hailing platform Bolt has selected the NVIDIA Alpamayo Stack autonomous driving software to operate its vehicle fleet in Europe, starting with Lucid automobiles.

The deployment commences in Madrid in 2027, with subsequent deployment planned in Germany and France. The initiative supports the integration of at least 25,000 Level 4-ready Lucid vehicles equipped with NVIDIA Hyperion compute and sensor architecture. The program contributes to Bolt's objective of deploying 100,000 autonomous vehicles across Europe and the UNECE region by 2035. The system integrates reasoning artificial intelligence with perception and planning modules alongside NVIDIA Halos safety controls.

Jevgeni Kabanov, President and Head of Autonomous Driving, Bolt, said, “Autonomous driving will change how people move around cities, and Europe should play a major role in how that future is built. Our ambition isn't to bring autonomous driving to just a handful of cities. We want to make autonomous ride-hailing available at scale across Europe, with 100,000 vehicles on our platform by 2035. We're bringing together some of the best technologies in the world to make that possible. Following our first autonomous mobility launch in Luxembourg, our next step with NVIDIA and Lucid is to begin a programme in Madrid in 2027. The Region of Madrid is pioneering a structured framework for commercial autonomous mobility in coordination with national authorities. Germany will also be a priority for what comes next, with cities already setting out clear ambitions for autonomous mobility.”

Rishi Dhall, Vice-President of Automotive, NVIDIA, said, “Robotaxis will scale when every vehicle is built on a common, safety-engineered foundation. NVIDIA Hyperion standardises the compute and sensor architecture across vehicle platforms, while NVIDIA Alpamayo Stack and Halos provide the driving intelligence and safety foundation. Bolt’s European platform, operational experience and work with cities and regulators make it a strong partner to bring autonomous ride-hailing to market at scale in Europe.”

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French tier 1 supplier Valeo has announced plans to develop and industrialise high-performance compute platforms utilising the NVIDIA Hyperion reference architecture and NVIDIA Halos safety system.

The initiative combines Valeo's vehicle integration capabilities with centralised computing architectures to support software-defined mobility systems. The platform utilises the NVIDIA DRIVE AGX Thor architecture to deliver processing performance and redundancy for Level 4 autonomous driving, commercial trucking and robotaxi applications. The development framework enables automakers to integrate features and deploy autonomous technologies across vehicle models.

Marc Vrecko, Chief Executive Officer, Valeo Brain Division, said, "Our work with NVIDIA marks a significant milestone in our mission to make autonomous driving a safe, scalable reality. By seamlessly integrating NVIDIA’s advanced compute power into our next-generation platforms, we are delivering the flexible, centralised intelligence vehicle manufacturers require to redefine the driving experience and meet the evolving demands of tomorrow’s intelligent vehicles."

Rishi Dhall, Vice-President of Automotive, NVIDIA, said, "Valeo’s expertise in high-performance computing, vehicle integration and automotive-scale industrialisation will help automakers adopt NVIDIA Hyperion and NVIDIA Halos at production scale. Together, NVIDIA and Valeo are providing the AI performance, functional safety and scalability needed to accelerate the development of Level 4 autonomous vehicles and robotaxis."

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