2025-2026年汽车技术趋势

Content Automotive Trends Radar A comprehensive perspective on the latest trends driving transformation through evolving technologies. Navigating the Radar 30 Automotive industry technology trends highlighting use cases andkey takeaways, spanning across 5 segments. AboutLTIMindtree Crystal LTIMindtreeCrystal platform encapsulates beyond-the-horizon technologies and their insights, industry-specific use cases, inspirations, and how it is a game-changer. Through this, we intend to devise future-drivengrowth strategies with an early-warning system. Appendix Rajesh’s Foreword The Automotive Renaissance: From Horsepower toComputational Power The global automotive industry is transforming. In this era of mobility change,success depends on adopting new technologies and fundamentally rethinkinghow automobiles are designed, manufactured, and introduced to the market. For decades, automobiles' value was measured by their mechanical skill,engineering quality, and mass production ability. Today, that value is increasinglyinfluenced by a more intangible asset: intelligence. Intelligence is embedded in software-defined vehicles, decision-making supplychains, AI-augmented design, and autonomous factories. Intelligence thatsenses, predicts, adapts, and even learns. Rajesh Sundaram Executive Vice PresidentChief Business OfficerManufacturing,LTIMindtree This is no longer about digitizing legacy; it is about creating a new mobility stack,where physical motion is driven by computational insight. And wherecompetitive advantage comes from cost leadership and the ability to rewireoperations, customer engagement, and innovation cycles at speed. We are witnessing a radical shift from traditional linear value chains to fluid, intelligence-driven automotive ecosystems.Technology is now the vehicle's soul, and AI is powering precision in product development and operations. Sustainabilityis imperative! This is not an incremental shift; it is a structural reset. LTIMindtreehas always been a frontrunner in providing futuristic automotive manufacturing solutions through the lensof convergence. The convergence of physical and digital, of design and intelligence, of products and services. Fromsoftware-defined vehicles to autonomous supply chains, the winners will be those who act early and decisively on thesesignals of change. The Automotive Technology Trends 2025-26 reflects this tectonic movement. It highlights emerging technologies andexposes the undercurrents of disruption, redrawing the competitive landscape. From generative design to immersiveengineering, from predictive logistics to AI copilots on the shop floor, these radar signals show where the industry isheaded and how bold leaders can get ahead of the curve. The road ahead will demand bold thinking, adaptive operating models, and a relentless focus on innovation. But with theright intelligence and intent, the opportunity is immense. The road ahead will not be paved with incrementalism. It willfavor those who think in platforms, build with intelligence, and scale with speed. This defining moment shapes not onlythe next generation of vehicles but also the next generation of value. Let us embrace this inflection point with vision, precision, and purpose. Let’s build the improved automotivemanufacturing ecosystem, setting the pace for a resilient and sustainable future, faster. Together. Naushad’s Foreword From Digital-First to Intelligent Operationsin Automotive The automotive industry is undergoing an unprecedented transformation drivenby rapid technological advancements, changing customer expectations, andincreased focus on sustainability. As vehicles become more intelligent,connected, and autonomous, manufacturers must adopt innovation to staycompetitive. AtLTIMindtree, we believe that the future of automotivemanufacturing depends on harnessing the power of advanced technologies suchas artificial intelligence (AI), machine learning (ML), cloud, and immersivesolutions to develop a brighter, more efficient, and customer-focused industryecosystem. Naushad KhambhawalaVice PresidentManufacturing Our research shows that manufacturers are increasingly adopting digital-firststrategies to reduce costs, improve margins, and speed up time-to-market. A keyfocus is on connected ecosystems, where real-time data exchange allowsseamless integration across the supply chain. From predictive maintenancepowered by Intelligent Asset Management to Blockchain-Based Supply Chains,manufacturers are utilizing advanced solutions to ensure transparency, security,and operational efficiency. Inventory management is another critical area of transformation. AI-driven Inventory Optimization and Available-to-Promise (ATP) Solutions are helping businesses minimize stock levels while ensuring rapid order fulfillment. By adoptingintelligent planning tools and demand forecasting techniques, manufacturers can significantly reduce lead times andimprove supply chain resilience. The shift towa