Search results for: 'capture document processing'

28 May 2021  |  Global  |  Market Research

In-vehicle Edge Tech and 5G to Make MEC the Prime Processing Hub

Future Growth Potential of MEC in Automotive Applications

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Multi-access Edge Computing (MEC) in automotive is in its early stage and this report is considered to be an overview of the automotive edge computing market. This study defines Multi-Access Edge Computing for the automotive industry and covers how automotive stakeholders should anticipate new applications on both existing and future business mode...

This research service offers an outlook of the commercial vehicle business unit of Hyundai Motor Group (HMG) for the period 2014–2022. The study is developed to offer an unbiased executive outlook of HMGs global growth initiatives, capabilities, and activities toward enhancing sales and market share in the light, medium, and heavy commercial vehicl...

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...

A surge in technical developments is fueling change in the automotive sector. This growth opportunity analytics investigates cutting-edge technologies revolutionizing the industry. Digital drivers, such as AI-generative design, quantum simulation, mixed reality, digital twins, virtual prototyping, smart factories, virtual workspaces, and machine vi...

The global vehicle rental market is undergoing a period of accelerated transition as mobility demand patterns shift across business travel, leisure, the gig economy, and last-mile logistics. In a market marked by fluctuating travel volumes, high vehicle acquisition costs, and evolving customer expectations, rental companies are repositioning themse...

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...

There is a global emergence of start-ups, especially in the electric two-wheeler (E2W) segment, during and post-COVID-19 pandemic. With lockdowns preventing people from leaving their homes, last-mile delivery services boomed, increasing the use and popularity of light electric vehicles. In addition, economic and environmental factors such as rising...

Automotive perception sensors based on cameras, LiDAR, ultrasonics, and conventional 2D radars have come far in their detection, range, resolution, and processing capabilities but still have inherent limitations. High deployment costs and the inability to detect in adverse weather conditions, see through solid objects, or meet other safety requirem...

This study evaluates sustainable practices across the value chain of nine automotive original equipment manufacturers (OEMs), shedding light on their commitment to environmental stewardship. The report illustrates how each OEM strategically incorporates sustainability principles into key value chain stages, namely sourcing, manufacturing, design, m...