Search results for: 'computing plai 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...

The October 2025 edition of the CST Technology Opportunity Engine highlights transformative innovations shaping the future of edge computing. The study explores the evolution of decentralized data processing models that enable ultra-low latency, localized intelligence, and real-time decision-making across industries.Driven by the convergence of IoT...

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...

06 Sep 2017  |  North America  |  Market Research

Intelligence at the Edge—An Outlook on Edge Computing

Edge Computing Solutions will Redefine Analytics for Manufacturing OEMs

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Manufacturing, across the globe, is at the brink of a revolution. Advances in technologies are not only making manufacturing effective, but are enabling work to be “smarter”. The focus of this research on edge analytics is to analyse the industrial manufacturing market from a technology standpoint. The report could be extremely helpful to the...

AI maturity, implementation, and AI-enabled or AI-augmented operations are increasing year over year, moving from pilot to production. Because AI delivers the biggest business outcomes, it is a top outcome driver. The impact of AI can be seen in quality control and computer vision in smart manufacturing as well. AI-powered visual inspection transfo...

This Frost & Sullivan research service analyzes the global industrial automation market from 2020 to 2025, with 2020 as the base year. The deliverable offers an in-depth look at the dynamics influencing and challenging the growth of the industrial automation market and analyzes the process automation technology segments across process, discrete, an...

The Frost Radar™ on mechanical computer-aided design (MCAD) offers a competitive benchmark analysis derived from Frost & Sullivan’s CAD Growth Opportunities report. It ranks eight companies on their growth potential and ability to innovate. MCAD revenue amounted to $6.4 billion in 2023. Frost & Sullivan expects revenue to reach $10.46 billion by 2...

14 Nov 2024  |  Global  |  Market Research

Computer-aided Design Market, Global, 2023‒2030

Design Innovation is Driving Transformational Growth through the Adoption of Advanced Technologies and Cloud-based Deployments in Manufacturing

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Computer-aided design (CAD) is an essential tool for designers in manufacturing. As products and demands change, CAD must evolve to accommodate these transformations. A new market landscape is emerging as software-defined products become the norm, prompting manufacturers to adapt and manage the mechanical and electronic dimensions of their products...