# Unlocking the Power of Data and AI in the Automotive Industry Why data and AI are becoming the new engines of mobility, and how Dassault Systèmes is helping automotive leaders scale this impact. (TM) Driving Growth With AI in the Automotive Industry The **automotive industry** is at a pivotal turning point, triggered by the convergence of rapidly maturing AI capabilities and the unprecedented volumes of **connected car data**. As mobility shifts from hardware-centric products to **software-defined vehicles** (SDVs), **data and AI in the automotive industry** are becoming the [core engines of transformation](/insights/3d-universes "3D UNIV+RSES: The New Value Equation for Your Business"). Here’s how automotive leaders can drive mobility innovation by leveraging **data and AI in the automotive industry**: (TM) Boost R&D productivity ![](https://www.3ds.com/assets/invest/2025-08/icon-175-design-development.png) (TM) Scale data-driven intelligence ![](https://www.3ds.com/assets/invest/2025-08/icon-413-data-leveraging.png) (TM) Close the skills gap ![](https://www.3ds.com/assets/invest/2022-05/icon-041-developer.png) (TM) Where Data and AI Redefine Mobility Duration: 1 minute [(TM) Where Data and AI Redefine Mobility Highlight Banner](/media/24230) [ Watch video ](/media/24229) Speed, adaptability and continuous innovation provide critical competitive edges in today’s automotive landscape. Vehicles are evolving into software-defined platforms, requiring manufacturers to accelerate design processes, validate systems earlier and scale digital services across the lifecycle, from development to after-sales. Automotive manufacturers that fail to modernize their approach risk slower innovation cycles, delayed over-the-air updates and fragmented customer experiences. Watch the video to see how data intelligence is reshaping vehicle development in the mobility industry. AI enables more design alternatives to be explored in less time using Virtual Twin of Behaviors to validate performance earlier and reduce prototypes. The **3D**EXPERIENCE platform enables AI-driven insights to be applied to shorten development cycles while improving product quality. Arnaud Journel Transportation & Mobility Industry Solution Experience Director, Dassault Systèmes ![Virtual Twin of Behaviors > Dassault Systèmes](https://www.3ds.com/assets/invest/2026-03/arnaud-journel-profile-128x128.webp) (TM) Operationalize AI in the Automotive Industry **Data and AI in the automotive industry** are undeniably strategic assets for vehicle manufacturers. However, turning this potential into measurable business impact requires more than ambition. It calls for a scalable, integrated approach that embeds AI into workflows. The **3D**EXPERIENCE® platform provides this foundation by unifying vehicle, engineering, manufacturing and supply chain data in a collaborative environment. With [embedded analytics](/products/analytics-big-data-artificial-intelligence "Analytics, Big Data & Artificial Intelligence "), it transforms complex datasets into actionable intelligence, enabling **AI-powered simulation** that optimizes performance across product lifecycle. The AI software embedded in the platform further simulates [human-like intelligence](/technologies/ai-software "AI-Powered Solutions: Artificial Intelligence for Business Innovation") to tackle complex tasks, such as predictive analytics, pattern recognition and process automation. When combined with platform-supported virtual twins, these capabilities can contextualize large amounts of data into trusted insights for confident decision-making. Learn more about how our AI-powered platform capabilities can give car makers a competitive boost through our infographic. ![Automotive Breakthrough Mobile Infography > Dassault Systèmes](https://www.3ds.com/assets/invest/styles/thumbnail/public/2026-03/tm-your-competitive-upper-hand-in-automotive-breakthrough-mobile-infographic-320x3786.webp?itok=V_QAtWkH) ![Automotive Breakthrough Mobile Infography > Dassault Systèmes](https://www.3ds.com/assets/invest/2026-03/tm-your-competitive-upper-hand-in-automotive-breakthrough-mobile-infographic-320x3786.webp) ![Automotive Breakthrough Desktop Infography > Dassault Systèmes](https://www.3ds.com/assets/2026-03/tm-your-competitive-upper-hand-in-automotive-breakthrough-desktop-infographic-1440x4639.webp) View infographic (TM) Using Data and AI in Automotive Manufacturing (TM) Analytics, Big Data and AI Turn enterprise data into actionable insights using AI-powered analytics and virtual twins. [(TM) Analytics, Big Data and AI Highlight Banner](/media/24287) [ Learn more ](/products/analytics-big-data-artificial-intelligence) (TM) AI in Manufacturing and Supply Chain Optimize manufacturing and supply chain operations with AI-driven intelligence and automation. [(TM) AI in Manufacturing and Supply Chain Highlight Banner](/media/24288) [ Learn more ](/products/delmia/artificial-intelligence-manufacturing-supply-chain) (TM) AI Software Simulate human-like intelligence to automate decisions, predict outcomes and improve performance. [(TM) AI Software Highlight Banner](/media/24289) [ Learn more ](/technologies/ai-software) (TM) Data and AI in the Automotive Industry How is AI transforming vehicle design and manufacturing? Today, AI is accelerating every stage of automotive innovation from design to production. In R&D, AI algorithms analyze simulation and testing data to optimize performance, efficiency and sustainability. For example, [AI-driven generative design](https://www.mckinsey.com/industries/automotive-and-assembly/our-insights/automotive-r-and-d-transformation-optimizing-gen-ais-potential-value) can reduce component weight by up to 20%, improving efficiency without compromising safety. On the shop floor, AI-powered vision systems detect defects in real time, enhancing quality and reducing waste. Combined with virtual twins on the **3D**EXPERIENCE platform, engineers can test, validate and refine designs digitally before physical production, cutting time-to-market and cost while reducing prototyping needs. What is a software-defined vehicle, and how does data enable it? A [software-defined vehicle (SDV)](https://www.mckinsey.com/industries/automotive-and-assembly/our-insights/the-case-for-an-end-to-end-automotive-software-platform) is designed so that its key functions like infotainment, driver assistance, battery management and vehicle dynamics are controlled by software rather than fixed hardware. This allows automakers to deliver new features, performance upgrades and safety improvements through over-the-air (OTA) updates, much like smartphones. Data is at the heart of this transformation. Connected cars can generate around 25 GB of data per hour, and autonomous vehicles more than 300 TB per year. Harnessing this data enables continuous optimization, predictive maintenance and the creation of personalized in-vehicle services turning cars into intelligent, evolving platforms that improve over time. How does generative AI help in automotive design and R&D? Generative AI is becoming a catalyst that drives innovation in automotive design and engineering. It can rapidly create and evaluate thousands of design alternatives, optimizing structures for lightweighting, aerodynamics and energy efficiency while maintaining safety and performance standards. In R&D, generative AI assists engineers by automating repetitive modeling tasks and suggesting new concepts drawn from simulation data, shortening development cycles. According to McKinsey, applying generative AI in product development could improve R&D productivity by up to10 to 20%. This means faster time-to-market, reduced prototyping costs and more **intelligent designs** across teams. As the industry moves toward software-defined and data-centric vehicles, generative AI helps engineers focus on what matters most, delivering smarter, safer and more sustainable mobility experiences. How can automotive companies manage and capitalize on vehicle data? As vehicles become connected and software-driven, they generate vast amounts of data. For example, driving behavior and sensor readings, and maintenance alerts. The challenge for OEMs is no longer collecting data, but turning it into value. According to PwC, [by 2030 nearly 95% of new vehicles sold will be connected](https://www.pwc.com/gx/en/industries/automotive/assets/pwc-five-trends-transforming-the-automotive-industry.pdf), creating unprecedented opportunities for data monetization. This includes new business models such as personalized insurance and in-vehicle entertainment features to subscription-based features and fleet optimization. To capitalize on this, automakers need unified data architectures that connect information across design, manufacturing and aftersales. The **3D**EXPERIENCE platform enables companies to integrate and contextualize this vehicle data in a virtual twin environment. Thereby, allowing teams to simulate, test and optimize performance and customer experience. When properly leveraged, data becomes a strategic asset that fuels innovation and supports the shift toward sustainable, customer-centric mobility. What are the new skills needed for the AI-driven automotive industry? The rise of data-driven design, automation and generative AI are redefining the skills required across the automotive value chain. Engineers now need to combine traditional mechanical and electrical expertise with software development, data science and systems engineering skills. According to the European Commission, the industry could face a shortage of up to 2.4 million skilled workers by 2030, particularly in software, electronics and digital engineering roles. To address this, OEMs are investing in upskilling programs, partnerships with universities and tech firms as well as AI training that prepare engineers for the next wave of vehicle development. Some are creating dedicated software hubs or digital academies to strengthen expertise in artificial intelligence, cybersecurity and virtual simulation to ensure their workforce can adapt to the software-defined, AI-driven **future of mobility**. --- 1Source: [World Economic Forum](https://www.weforum.org/stories/2022/01/how-to-accelerate-the-net-zero-transition-in-transport/) 2Source: [Salesforce](https://www.salesforce.com/blog/connected-vehicle-data/) ## (TM) Explore Our Industry Solution Experiences Learn more about how our industry solutions can help you optimize vehicle development and strengthen competitive advantage. ## (TM) (Data and AI Automotive) More Transportation & Mobility Challenges ![Ai in the Automotive Industry > Dassault Systèmes](https://www.3ds.com/assets/invest/2026-03/tm-ai-automotive-industry-hero-banner-1920x856.webp) [(TM) Ai in the Automotive Industry Video Banner](/media/24227) Ind. Challenge AI in the Automotive Industry