How AI and SDVs will revolutionize the automotive industry

𝗦𝗼𝗳𝘁𝘄𝗮𝗿𝗲 𝗗𝗲𝗳𝗶𝗻𝗲𝗱 𝗩𝗲𝗵𝗶𝗰𝗹𝗲 - 𝗜𝗻 𝗮 𝗡𝘂𝘁𝘀𝗵𝗲𝗹𝗹 The car is no longer just built - it’s programmed. 💻 From horsepower to codepower - the Software-Defined Vehicle (SDV) is redefining what it means to “drive.” Cars of this era are living systems - continuously evolving through software, data, and intelligence. 🧠 𝗔 𝗦𝗵𝗶𝗳𝘁 𝗕𝗲𝘆𝗼𝗻𝗱 𝗠𝗲𝗰𝗵𝗮𝗻𝗶𝗰𝘀 In the old world, performance upgrades came from the garage. In the new world, they come from the cloud. Your vehicle’s capabilities are now defined by: → Lines of code, not cylinders → Compute power, not combustion → Updates & algorithms, not spare parts 🌐 𝗪𝗵𝘆 𝗜𝘁 𝗠𝗮𝘁𝘁𝗲𝗿𝘀 The SDV isn’t just a new car - it’s a new business model. Automakers are transforming into software companies that deliver: → In-car app stores → Subscription-based features → Personalized digital experiences It’s an entire ecosystem where mobility meets digital services. 🔮 𝗪𝗵𝗮𝘁’𝘀 𝗡𝗲𝘅𝘁 - 𝗧𝗵𝗲 𝗔𝗜-𝗗𝗲𝗳𝗶𝗻𝗲𝗱 𝗩𝗲𝗵𝗶𝗰𝗹𝗲 The next evolution? AI takes the wheel. Tomorrow’s vehicles will: → Learn driver behaviour → Predict maintenance needs → Interact with cities, infrastructure, and other vehicles → Adapt in real time through Agentic AI and on-board intelligence Think of it as your car developing a mind of its own - safely, intelligently, and contextually. 💭 𝗠𝘆 𝗧𝗮𝗸𝗲 The real race in automotive isn’t about speed anymore - it’s about intelligence, adaptability, and experience. 𝘞𝘩𝘰𝘦𝘷𝘦𝘳 𝘮𝘢𝘴𝘵𝘦𝘳𝘴 𝘴𝘰𝘧𝘵𝘸𝘢𝘳𝘦 𝘰𝘳𝘤𝘩𝘦𝘴𝘵𝘳𝘢𝘵𝘪𝘰𝘯, 𝘈𝘐 𝘪𝘯𝘵𝘦𝘨𝘳𝘢𝘵𝘪𝘰𝘯, 𝘢𝘯𝘥 𝘥𝘢𝘵𝘢-𝘥𝘳𝘪𝘷𝘦𝘯 𝘱𝘦𝘳𝘴𝘰𝘯𝘢𝘭𝘪𝘻𝘢𝘵𝘪𝘰𝘯… 𝘸𝘪𝘭𝘭 𝘭𝘦𝘢𝘥 𝘵𝘩𝘦 𝘯𝘦𝘹𝘵 𝘥𝘦𝘤𝘢𝘥𝘦 𝘰𝘧 𝘮𝘰𝘣𝘪𝘭𝘪𝘵𝘺. 💬 𝗪𝗵𝗮𝘁’𝘀 𝘆𝗼𝘂𝗿 𝘃𝗶𝗲𝘄? How do you see AI reshaping the connected car ecosystem for both automakers and everyday drivers? #SoftwareDefinedVehicle #ConnectedCars #ConnectedMobility #AgenticAI 📖 Read the full blog here: https://lnkd.in/eUqPdd75 ♻️ Repost this if you found it valuable ---------------------------------- ➕ Follow me Snehal Bhavsar for more on Emerging Tech 📚 Subscribe for tech blogs: https://lnkd.in/eDjceYke

As we step into a new era of technological innovation, Mercedes-Benz Vision V is not just a glimpse of the future — it is a reality reimagined through AI, electrification, and advanced mobility. This vehicle isn't just about transportation; it's about transforming how we experience space, time, and connectivity. At the heart of this stunning concept lies AI-driven automation and intelligent design, where the car adapts to its environment, learns from its occupants, and anticipates needs before they arise. This isn’t just a car; it’s an extension of human intelligence, transforming travel into a seamless, personalized experience. In an era where intelligence is embedded in everything, Mercedes-Benz Vision V is the epitome of future mobility: ⚡ Electric Drive: Fully electric powertrain that ensures a sustainable, silent, and efficient ride. 🤖 AI-Powered Integration: A self-learning vehicle that connects with its driver, the environment, and even the cloud to optimize performance and efficiency. 🌐 Smart Interior: The cabin itself is an interactive space, offering intelligent displays and personalized settings based on AI. The AI revolution is not a distant dream; it's happening today. With Mercedes-Benz leading the charge, we're stepping into a world where every journey is smarter, safer, and more sustainable. 🔑 The future of intelligent transportation is here. Will you embrace it? #MercedesBenz #AI #SmartMobility #FutureOfTransportation #ElectricVehicles #Sustainability #AIIntegration #AutomotiveDesign #Innovation

We’re officially in the era of Software-Defined Vehicles (SDVs) — where cars aren’t just machines anymore, they’re smart, connected platforms that evolve over time. 🔄 What’s exciting is how fast things are moving! 👉 Mercedes-Benz’s new CLA now uses Generative AI (ChatGPT + Google Gemini) to make in-car voice assistants more natural and emotionally intelligent. 👉 BMW’s Neue Klasse models are built on a software-first architecture, allowing OTA updates that can boost performance or add features long after the car is sold. 👉 Ford’s BlueCruise 1.3 brings adaptive hands-free driving, improving continuously through real-world data. At this year’s India SDV Summit, the buzz was all about collaboration — open-source Linux platforms, edge computing, and smarter ADAS testing that’s bridging software and hardware like never before. As someone deeply passionate about automotive software, HIL testing, and AI-driven validation, I’m truly inspired by how fast this transformation is accelerating. The line between cars and computers is disappearing — and it’s thrilling to be part of it! 🚀 Let’s connect if you’re also excited about AI, SDVs, and the next wave of intelligent mobility. #SDV #AutomotiveTesting #AI #ConnectedVehicles #Innovation #FutureOfMobility

There’s a strange moment when you realize your car is smarter than it feels. It’s packed with processors, sensors, and a high-speed network – yet from your seat, it mostly feels like a dumb shell that happens to move when you press a pedal. 🧩 Behind the Scenes: From Voice to Vehicle That gap between potential capability and practical accessibility led to the “Car MCP” idea. When I started this small trilogy of ideas – first, “Teach Mode,” where users could define app-level voice APIs; then “Agentic Voice,” where those voice actions became reasoning loops for any app – the car naturally emerged as the next frontier. Phones already handle reasoning beautifully. Voice interfaces are improving. But cars? Cars are like 1990s intranets – siloed, proprietary, and barely interoperable. Every OEM reinvents the same APIs for locks, seats, charging, or navigation. That’s when it hit me: we don’t need smarter cars. We need standardized cars – cars that expose their capabilities safely to whatever reasoning system you trust. A Model Context Protocol for vehicles. Not another “smart assistant.” Just a reliable schema for what your car can do, what it shouldn’t do, and when it needs your permission. The breakthrough thought was: “Your phone stays the brain; your car becomes the body.” The car doesn’t need to think – it just needs to declare what’s possible under defined constraints. Once you see it that way, everything clicks. The AI doesn’t live in the car; it interfaces with the car. It doesn’t replace driving – it orchestrates context. If I were taking this into development, I’d start simple: - A lightweight open-source bridge on an OBD-II or BLE adapter. - It reads the CAN bus, wraps endpoints in a capability schema (“climate.set_temperature”), and assigns safety levels. - Your local agent (on your phone) connects, plans, and executes with explicit confirmations. That’s the MVP: semantic OBD, not “AI in the dashboard.” The difference between a walled garden and a protocol that lets your agent safely collaborate with your car. The more I think about it, the more it feels inevitable. The agent ecosystem will need standardized ways to talk to the physical world – starting with cars. And when that happens, every drive becomes an orchestrated experience: the agent knows you’re leaving work, that you like 70°F and lo-fi when unwinding, and that your partner should get an ETA. But it never acts blindly. You’re still in the loop. That’s the real future of hands-free mobility – not replacing humans, but encoding trust, visibility, and structure into the systems that move us. If I had to summarize the evolution across these last three ideas, it’s this: - Teach Mode – humans teaching machines how to listen. - Agentic Voice – machines learning how to reason. - Car MCP – the environment learning how to cooperate. Together, they hint at something deeper: the emerging grammar of human–machine interaction. Not a smarter world, but a more composable one.

🚘 𝗔𝗗𝗔𝗦 𝗖𝗼𝗻𝘁𝗿𝗼𝗹 𝗨𝗻𝗶𝘁 𝗠𝗮𝗿𝗸𝗲𝘁 𝗙𝗼𝗿𝗲𝗰𝗮𝘀𝘁 𝟮𝟬𝟮𝟱–𝟮𝟬𝟯𝟭 | 𝗘𝗮𝗿𝗹𝘆 𝗪𝗮𝗿𝗻𝗶𝗻𝗴, 𝗔𝗰𝘁𝗶𝘃𝗲 𝗖𝗼𝗻𝘁𝗿𝗼𝗹 & 𝗔𝘂𝘅𝗶𝗹𝗶𝗮𝗿𝘆 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 𝗳𝗼𝗿 𝗣𝗮𝘀𝘀𝗲𝗻𝗴𝗲𝗿 𝗖𝗮𝗿𝘀 & 𝗖𝗼𝗺𝗺𝗲𝗿𝗰𝗶𝗮𝗹 𝗩𝗲𝗵𝗶𝗰𝗹𝗲𝘀 The global 𝐀𝐃𝐀𝐒 𝐂𝐨𝐧𝐭𝐫𝐨𝐥 𝐔𝐧𝐢𝐭 𝐦𝐚𝐫𝐤𝐞𝐭 𝐢𝐬 𝐩𝐫𝐨𝐣𝐞𝐜𝐭𝐞𝐝 𝐭𝐨 𝐬𝐮𝐫𝐠𝐞 𝐟𝐫𝐨𝐦 𝐔𝐒𝐃 𝟗,𝟎𝟓𝟐 𝐦𝐢𝐥𝐥𝐢𝐨𝐧 𝐢𝐧 𝟐𝟎𝟐𝟒 𝐭𝐨 𝐔𝐒𝐃 𝟏𝟔,𝟕𝟏𝟏 𝐦𝐢𝐥𝐥𝐢𝐨𝐧 𝐛𝐲 𝟐𝟎𝟑𝟏, 𝐫𝐞𝐠𝐢𝐬𝐭𝐞𝐫𝐢𝐧𝐠 𝐚 𝐬𝐭𝐫𝐨𝐧𝐠 𝐂𝐀𝐆𝐑 𝐨𝐟 𝟗.𝟐%. As the “brain” of advanced driver assistance systems, ADAS control units integrate sensor data, analyze surroundings in real time, and issue precise commands to steering, braking, and powertrain systems—powering autonomous capabilities from Level 1 to Level 3. Driven by 𝐜𝐞𝐧𝐭𝐫𝐚𝐥𝐢𝐳𝐞𝐝 𝐜𝐨𝐦𝐩𝐮𝐭𝐢𝐧𝐠 𝐚𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞𝐬, 𝐢𝐧-𝐯𝐞𝐡𝐢𝐜𝐥𝐞 𝐬𝐮𝐩𝐞𝐫𝐜𝐨𝐦𝐩𝐮𝐭𝐞𝐫𝐬, 𝐚𝐧𝐝 𝐭𝐡𝐞 𝐬𝐡𝐢𝐟𝐭 𝐟𝐫𝐨𝐦 𝐡𝐚𝐫𝐝𝐰𝐚𝐫𝐞 𝐭𝐨 𝐬𝐨𝐟𝐭𝐰𝐚𝐫𝐞-𝐝𝐞𝐟𝐢𝐧𝐞𝐝 𝐯𝐞𝐡𝐢𝐜𝐥𝐞𝐬, the industry is transforming into a value network linking chipmakers, software developers, and OEMs. 🌏 The report delivers an in-depth analysis by 𝐓𝐲𝐩𝐞 (𝐄𝐚𝐫𝐥𝐲 𝐖𝐚𝐫𝐧𝐢𝐧𝐠, 𝐀𝐜𝐭𝐢𝐯𝐞 𝐂𝐨𝐧𝐭𝐫𝐨𝐥, 𝐎𝐭𝐡𝐞𝐫 𝐀𝐮𝐱𝐢𝐥𝐢𝐚𝐫𝐲 𝐂𝐥𝐚𝐬𝐬𝐞𝐬) 𝐚𝐧𝐝 𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧 (𝐏𝐚𝐬𝐬𝐞𝐧𝐠𝐞𝐫 𝐂𝐚𝐫, 𝐂𝐨𝐦𝐦𝐞𝐫𝐜𝐢𝐚𝐥 𝐕𝐞𝐡𝐢𝐜𝐥𝐞), covering production, pricing, and regional growth trends across 𝐍𝐨𝐫𝐭𝐡 𝐀𝐦𝐞𝐫𝐢𝐜𝐚, 𝐄𝐮𝐫𝐨𝐩𝐞, 𝐀𝐬𝐢𝐚-𝐏𝐚𝐜𝐢𝐟𝐢𝐜, 𝐒𝐨𝐮𝐭𝐡 𝐀𝐦𝐞𝐫𝐢𝐜𝐚, 𝐚𝐧𝐝 𝐭𝐡𝐞 𝐌𝐢𝐝𝐝𝐥𝐞 𝐄𝐚𝐬𝐭 & 𝐀𝐟𝐫𝐢𝐜𝐚. 🔍 𝗪𝗵𝘆 𝗜𝗻𝘃𝗲𝘀𝘁 𝗶𝗻 𝗧𝗵𝗶𝘀 𝗥𝗲𝗽𝗼𝗿𝘁? 💡 Comprehensive Forecast: Market value and unit-based projections for 2025–2031. 📊 Competitive Landscape: Detailed profiles of Bosch, Continental, NVIDIA, Aptiv, and others. ⚙️ Technology Insights: Tracks the shift toward domain controllers and central computing. 🌐 Regional Deep Dive: Covers 20+ countries with growth analysis by type and vehicle class. 📈 Strategic Opportunities: Identifies performance and architecture innovations driving demand. 🚗 Evolving Ecosystem: Maps new value chains from chipmakers to OEMs. 𝗟𝗮𝘁𝗲𝘀𝘁 𝗜𝗻𝗱𝘂𝘀𝘁𝗿𝘆 𝗛𝗶𝗴𝗵𝗹𝗶𝗴𝗵𝘁𝘀: 🧠 Automakers accelerating migration to centralized ADAS domain controllers. 🔋 High-performance SoCs and vehicle Ethernet becoming industry standards. 🤝 Tier 1 partnerships shifting toward software collaboration and OTA ecosystems. 🌎 Asia-Pacific continues leading production with over 50% market share by 2031. 🚘 Rapid ADAS adoption in mid-range passenger cars boosting global demand. 𝗔𝘀𝗸 𝗳𝗼𝗿 𝗖𝘂𝘀𝘁𝗼𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻 𝗼𝗿 𝗣𝘂𝘁 𝗬𝗼𝘂𝗿 𝗥𝗲𝗾𝘂𝗶𝗿𝗲𝗺𝗲𝗻𝘁 𝗛𝗲𝗿𝗲: https://lnkd.in/eQNR-_KY #ADASControlUnit #AutomotiveElectronics #AutonomousDriving #VehicleSafety #MobilityInnovation #DriverAssistanceSystems #SmartVehicles #DomainControllers #AutomotiveMarket #TechForecast2031

🎥 At the recent IAA MOBILITY 2025, our Mobility Advisory Director Hikmet Cakmak caught up with Rachel Forestier, Group Marketing Director at Valeo, to unpack how software is redefining the car and the customer experience.   Highlights from the conversation: 🔹 Software as a product: OTA-upgradable features across ADAS, interior experience, powertrain, thermal and lighting 🔹 AssistXR: uses existing car sensors (in/out) for an efficient customer assistance 🔹 Safety & UX: HD signaling with MiniLED for clearer communication with road users 🔹 Electrification at scale: integrated systems, lighter/compact designs, high-speed e-motors to offer affordable solutions 🔹 Sustainability: CAP50 roadmap; remanufacturing/new materials; a magnet-free e-Drive targeting ~40% lower CO₂ footprint 🔹 Ecosystem: partnerships with Amazon Web Services (AWS), Qualcomm and Momenta for the ADAS software stack   👉 Watch the full interview below to hear Valeo’s 5–10 year vision: safer, more sustainable, software-driven, AI-enabled - and affordable car.   Connect with Hikmet to discover the opportunities reshaping mobility - and how to capture them.   #SoftwareDefinedVehicle #affordableEV #ADAS #AI #Sustainability #FutureOfMobility

🎥 At the recent IAA MOBILITY 2025, our Mobility Advisory Director Hikmet Cakmak caught up with Rachel Forestier, Group Marketing Director at Valeo, to unpack how software is redefining the car and the customer experience.   Highlights from the conversation: 🔹 Software as a product: OTA-upgradable features across ADAS, interior experience, powertrain, thermal and lighting 🔹 AssistXR: uses existing car sensors (in/out) for an efficient customer assistance 🔹 Safety & UX: HD signaling with MiniLED for clearer communication with road users 🔹 Electrification at scale: integrated systems, lighter/compact designs, high-speed e-motors to offer affordable solutions 🔹 Sustainability: CAP50 roadmap; remanufacturing/new materials; a magnet-free e-Drive targeting ~40% lower CO₂ footprint 🔹 Ecosystem: partnerships with Amazon Web Services (AWS), Qualcomm and Momenta for the ADAS software stack   👉 Watch the full interview below to hear Valeo’s 5–10 year vision: safer, more sustainable, software-driven, AI-enabled - and affordable car.   Connect with Hikmet to discover the opportunities reshaping mobility - and how to capture them.   #SoftwareDefinedVehicle #affordableEV #ADAS #AI #Sustainability #FutureOfMobility

Discover a powerful conversation with Quentin Fabre, CEO and co-founder of Evera, in our latest #FreedomofMobilityForum feature. 🗣 He shares his unique perspective on how to make electric mobility more accessible, advocating for business model shift and a more flexible, data-driven approach to the future. In this conversation, we explore key topics like: 📍 The shift from vehicle ownership to subscription-based services. 📍 Overcoming the main barriers to widespread EV adoption. 📍 How AI and digitalization are revolutionizing fleet management, making EV cars more accessible and reliable. 👉Click here to read more: https://lnkd.in/drjKSn_b

AI Transforming Automotive Infotainment In the realm of Automotive Infotainment, Artificial Intelligence (AI) emerges as a true game-changer, revolutionizing the driving experience for all. The integration of AI transcends the conventional passive display in cars, evolving it into an intuitive digital assistant. No longer merely a screen, the infotainment system becomes a proactive entity, understanding driver intentions, predicting behaviors, and prioritizing safety through personalized interactions. Imagine a scenario where the infotainment system responds to your interests while driving solo, facilitating learning and exploration at your pace. Moreover, it remains attuned to your well-being, alerting you to any signs of distress or fatigue, ensuring a safer journey. Furthermore, AI-driven infotainment systems excel in capturing driver preferences, musical inclinations, and seating adjustments, offering a delightful driving experience 😊 Delving deeper, Predictive Intelligence and Safety Integration stand out as key facets empowered by AI: - **Predictive Navigation:** Anticipates destinations based on historical data and real-time traffic conditions. - **Driver Monitoring Systems (DMS):** Identifies driver fatigue or distraction, collaborating with Advanced Driver Assistance Systems (ADAS) to issue timely alerts. - **Anomaly Detection:** AI vigilantly supervises the behavior of infotainment hardware and software, predicting faults early on (ASIL-B/C diagnostics). This transformation elevates infotainment beyond a mere comfort feature, positioning it as a pivotal element in the vehicle's safety framework, harmonizing ISO 26262 functional safety and ISO 21434 cybersecurity standards. Please note that the above serves as a simplified overview of AI's impact on Automotive Infotainment, shedding light on its fundamental essence.

🤩 Shift to SDVs is getting real: General Motors released details about the next architecture, for EVs and ICE vehicles. 🙋♂️ As always, just my personal opinion - please add yours below. ➡️ Shifting to modern E/E architectures with a more centralized setup of few domain controllers is one of the key focus areas of the automotive industry. ➡️ BMW Group and Mercedes-Benz AG just released their latest zonal architectures at the IAA auto show in Munich. GM is late to the party. ➡️ The market share of zonal architectures is growing slowly, from less than 5% global market share today to ~50% in the next decade. —— The tech and business details: https://lnkd.in/dryHmung ➡️ GM is following with a zonal architecture that should be used in EVs 🔋 and ICE models, probably just hybrids. Launch is targeted for 2028 - still not close to China speed. 😱. ➡️ Basrd on NVIDIA Thor SoC as central compute unit, consolidating fragmented ECUs into a unified computing core that coordinates every subsystem. ➡️ The Thor platform is adding 35x more compute power in comparison to current models, providing enough power for high-trim ADAS and a 2-4x boost for smart cabin and infotainment. ➡️ The approach is adding massive headroom to allow next-generation features over lifetime. Curious to see the business model and cases behind the this fundamental budgeting paradigm shift. ➡️ A high speed Ethernet backbone, engineered as clean „star“ topology should add 1.000x on bandwidth, reducing complex 1:1 wiring and weight. ➡️ Instead of starting from scratch, GM is incrementally updating the platform launched in 2020. it’s a trade off of keeping costs 🤑 under control while compromising on performance. —— Customer benefits: ➡️ By 2028, customers should be able to experience L3 🙌 ADAS solutions. Take rate forecasts for L3 are challenging, let’s see how GM could monetize 🤑 their investment. ➡️ Google enabled conversational AI will be added already to vehicles 🚗 next year. Agentic AI 🤖 experiences probably would need to wait. ➡️ GM is shifting from Google AI to an in-house AI , custom-built for the GM vehicles, optimized and trained by customer preferences and data 📊. —— My personal take: ➡️ Will be interesting to see how GM will handle the energy management in the ICE configurations. Holistic OTAs and the powerful compute units would not work with 12 V batteries. ➡️ There is a risk of getting locked-in into the NVIDIA ecosystem, as middleware and tool chain requirements could make it difficult to be SoC vendor agnostic. ➡️ Every OEM that hands of the middleware to suppliers or partners is losing grip on SoC agnostic setups and most flexible software application layers. ➡️ Will be interesting to follow how GM could outperform best in class AI models from Google, OpenAI or Alibaba Cloud and how the models will be integrated into the SW platforms. What do you think about the GM approach 🤷♂️? Add your views and let’s start the discussion. #SDV