Search results for: 'edge computing, data storage'

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...

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...

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 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...

Vehicles generate data that can be collected and used for new services and solutions—either for internal purposes within the workings of an automaker or for third parties that require data to create innovative use cases and value propositions. The connected car is already a rich source of information, and with new model launches, increased levels ...

The residential battery storage market is being spurred on by feed-in tariff and net metering revisions in residential PV hotspots, subsidies and tax incentives, rapid reductions in lithium-ion battery prices, and rising electricity tariffs. This is resulting in a shift from policy-driven markets for solar power grid trade to self-consumption-drive...

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...

20 Nov 2024  |  Global  |  Market Research

Ecosystem Activity for Automotive Data Monetization, 2024–2030

OEMs and Solution Providers are Developing New Concepts and Approaches to Re-invent the Vehicle Data Monetization Market

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In a competitive, yet fragmented market for vehicle data, partnerships with third parties can be the difference between a successful or failed strategy for original equipment manufacturers (OEMs). Inflated expectations linked to the value of vehicle data that marked the peak hype years for data monetization are well behind the automotive industry....