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Generative AI (Gen AI) continues to create an impact across industries including automotive. In the next decade, Gen AI is expected to significantly influence automotive value chains, increase efficiency, productivity, and reduce wastes. In the supply chain, it will be used to optimize inventory and demand forecasting while in product development i...

India’s commercial vehicle sector is undergoing a profound transformation as the country transitions toward electric mobility to reduce carbon emissions and improve energy efficiency. The electrification of medium- and heavy-duty trucks (MDTs and HDTs) is gaining momentum, driven by favorable government policies, declining battery prices, and the g...

India’s electric truck charging ecosystem is entering a critical phase of commercialization, with revenue generation and investment returns emerging as key focus areas alongside infrastructure deployment. As medium- and heavy-duty electric trucks scale up, charging infrastructure development across high-freight-movement corridors, major logistics h...

This study examines the development prospects that artificial intelligence (AI) offers the commercial vehicle (CV) industry, focusing on both the revolutionary potential of AI and the difficulties businesses face in fostering growth, including complicated regulations, high capital expenditure, and challenges in incorporating new technology into pre...

The study evaluates photonic and optical computing technologies as critical enablers of next-generation AI infrastructure, addressing growing bandwidth, latency, power consumption, and scalability constraints associated with copper-based interconnects. The analysis covers photonic integrated circuits (PICs), optical I/O chiplets, co-packaged optics...

The global automotive insurance industry is undergoing an impressive transformation as digitalization, connectivity, and data-driven models reshape how insurance is designed, delivered, and experienced. Traditional static policies are giving way to dynamic, usage-based, and behavior-based products that reflect real-world driving habits, enabled by ...

The edge AI accelerator market is scaling rapidly as industries demand low-latency, privacy-aware intelligence for autonomous vehicles, industrial automation, smart cameras, robotics, and other applications. Cloud-based inference faces more limits from bandwidth, latency, and data sovereignty concerns, creating a strong pull for on-device AI proces...

This study examines how automakers leverage voice AI and conversational AI to create personalized in-car experiences, focusing on OEM strategies, technology integration, and connected services.It profiles leading premium and mass-market automotive brands, analyzing their AI assistant strategies, technological capabilities, partnerships, and deploym...

This Frost Radar™ benchmarks the leading companies in the AI-powered in-car assistant market. They are spearheading the development of advanced conversational, personalized, and context-aware in-vehicle experiences for original equipment manufacturers and Tier I suppliers. The analysis included a review of each company's AI assistant portfolio, res...