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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...

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 automotive sector is undergoing a profound shift toward the software-defined vehicle, transforming cars into dynamic, upgradeable digital platforms. This transition critically demands advanced cloud computing to manage, process, and secure the vast amounts of data generated, establishing data management as a core strategic imperative for origin...

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...

This Frost & Sullivan Global Connected Vehicle Market Growth Outlook examines the key strategies, growth drivers, and challenges shaping the future of mobility. The move toward software-defined systems and over-the-air (OTA) updates is becoming more important than hardware. There is also growing demand for seamless connectivity in autonomous vehicl...

The Mobility Technology Opportunity Engine (TOE) covers innovations pertaining to Air Taxi, Electric Vehicles, Autonomous Mobility, Radar and Diesel Engines. Some of the innovations profiled include Autonomous Electric Air Taxi for Urban Air Mobility, Advanced 3D Mapping and Object Detection System for Autonomous Vehicles, Intelligent Operating Sys...

This study focuses on heterogeneous computing architectures for automotive and robotics applications, examining how centralized and zonal compute architectures, heterogeneous SoCs integrating CPUs, GPUs, NPUs, DSPs, FPGAs, and dedicated safety islands, as well as robotics edge-AI controllers and mixed-criticality computing platforms, are enabling t...

The additive manufacturing sector has seen significant growth in recent years owing to growing demand for customized products and complex geometries in various sectors, including automotive, defense, aerospace, consumer electronics, manufacturing, and energy. AI has a wide range of applications in additive manufacturing at various levels and is a k...

Video telematics solutions are poised to become the norm amongst enterprise fleets in the initial phase, owing to reduced vehicle claims, efficient driver exoneration, and higher realized return on investment. Medium and heavy-duty commercial vehicles for long-haul vehicle operations are primarily poised to be early adopters of video telematics, gi...