Search results for: 'frost'

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 robotaxi industry has moved from research and testing into early-stage commercial operations. A small number of companies are now generating revenue from fully autonomous, driverless ride-hailing services operating on public roads. Organizations that understand how the competitive landscape is forming today will be better positioned to make dec...

This Frost Radar examines advanced driver assistance systems (ADAS), ADAS AI, and next-stage autonomous-driving technologies as a fast-evolving domain reshaping mobility and safety. As automakers, Tier I suppliers, chipmakers, AI software developers, and autonomous mobility companies improve perception, prediction, planning, validation, and vehicle...

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...

The in-vehicle entertainment industry is going through a dynamic shift. Audio entertainment in the passenger vehicle is no longer limited to music playback through multiple sources. The rise of ADAS/AD and SDVs have made audio a critical part of the passenger vehicle. Audio developers must now cater to ADAS/AD safety alerts, chimes, entertainment, ...

The next generation in-vehicle infotainment requires centralized, high-performance computing and dependent on enhanced mobile broadband for high-definition video, massive machine-type communications for multidevice connectivity, and ultrareliable and low-latency communications for real-time interactivity. Video streaming technology for the in-cabin...

Multimodal perception is transforming robotics and automotive systems by combining cameras, lidar, radar, event-based vision, and other sensing technologies through AI-driven sensor fusion. These advances enhance environmental perception, localization, and real-time decision-making. This Frost Radar™ evaluates 11 companies shaping the multimodal pe...

As the world gets accustomed to the COVID-19 pandemic, many industries and markets are adopting a degree of change in the dynamics of their functionalities. The global connected truck telematics market has also transformed itself in many ways to adapt to changing customer and business requirements. This Frost & Sullivan research service analyticall...

In this study, Frost & Sullivan offers a comprehensive exploration of the carbon dioxide (CO2) trail of a hydrogen internal combustion engine (H2 ICE) truck by investigating the carbon emission implications, focusing on H2 as a prospective fuel for the trucking industry in the United States. Our analysis begins with the rationale for considering H2...