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Open-source software (OSS) architectures for vehicles are entering a new phase, reshaping SDV development by enabling collaborative, cloud-native stacks across the in-vehicle and cloud domains. This Frost & Sullivan study examines how automakers, Tier Is, silicon vendors, open foundations, and toolchain providers are converging to reduce cost and t...

07 Oct 2025  |  Global  |  Market Research

Software-Defined Truck Market, North America and Europe, 2024–2040

Software-defined Trucks are Experiencing Transformational Growth due to Electrification and Connectivity

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Software-defined trucks are vehicles designed with hardware-software layers that decouple the capabilities of the vehicle, thus allowing for updates to vehicle features, fleet management, and cloud-based analytics, as well as over-the-air software updates from one or several domains. Rather than being composed of fixed hardware mechanisms with litt...

Software-defined vehicle (SDV) development is reshaping Europe’s automotive engineering service provider (ESP) market, shifting demand from capacity-led engineering support toward platform integration, software lifecycle management, validation automation, and compliance-by-design. This Frost & Sullivan analysis assesses how original equipment manuf...

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...

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 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...

The Mobility Technology Opportunity Engine (TOE) covers innovations pertaining to Electric Vehicles, Software-defined Vehicles, LiDAR, Radar and Infrastructure Monitoring.The purpose of the Mobility Technology TOE is to raise awareness of global technology innovations in self-propelled ground-based mobile platforms that are not only technically sig...

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...