Search results for: 'Computer / Machine Vision market'

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 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...

Hybrid vision systems (HVS) are positioned to substantially impact perception-driven applications across a diverse array of sectors, including robotics, manufacturing, logistics, mobility, surveillance, and agriculture. By intricately combining the geographical precision of LiDAR with the semantic intelligence of advanced imaging systems, these inn...

This analytics highlights quantum computing innovation in the automotive industry and the significance of integrating this technology in supply chain, materials research, vehicle design, vehicle testing, assembly, manufacturing, retail, after-sales, and vehicle-in-motion. Simulations integrated with quantum computing processors analyze multiple pre...

This Frost & Sullivan analysis examines how the mobility market will evolve by the year 2050, influenced by the technological trends of the present day and technologies that might be developed in the future. This examination presents three different scenarios for the path that shared mobility may take and analyzes each of these scenarios in detail....

This study examines the emerging landscape of neuromorphic computing and its role in enabling low-power, real-time, brain-inspired intelligence across edge and autonomous systems. It reviews advancements in spiking neural networks, memristor-based computing in memory, event-driven vision sensors, and hybrid neuromorphic and conventional architectur...

This Frost Radar™ report analyzes the top 8 players from the quantum computing market actively investing in future potential use cases with OEMs and Tier-1 suppliers in the automotive industry. It includes a mix of pure-play quantum hardware players, quantum software specialist companies, and comprehensive end-to-end quantum solution providers that...

The Mobility Technology Opportunity Engine (TOE) provides profiles of innovations related to Next-generation Anti-friction Coating, Augmented Reality (AR) Platform, Vehicle-to-everything (V2X)-based Connected Vehicle Solutions, High-performance Electric Drive Technology, Remote-controlled Vehicle Platform, AI-driven Connected Mobility Platform and ...

The human-machine interface (HMI) is a driving force of innovation for automakers and major tech companies. Frost & Sullivan expects automakers to integrate or mirror in their vehicles the mobile apps that consumers use daily. Premium brands sold in Europe already are offering navigation units as standard equipment in most higher-trim vehicles a...