Search results for: 'Edge Computing: Emerging Trends and Applications'

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 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...

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...

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 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...

The escalating compute and power demands of edge AI are exposing the limits of conventional von Neumann architectures. Manufacturers deploying always-on sensing, real-time inference, and autonomous decision-making at the edge are constrained by the energy, latency, and memory-bandwidth ceilings of standard NPUs and MCUs. Traditionally, edge AI work...

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...

In the rapidly evolving landscape of 2026, where technological advancements are accelerating, the ability to identify, invest in, and leverage these advancements is becoming increasingly critical for organizations aiming to maintain industry leadership and ensure sustainable growth. Recognizing this imperative, Frost & Sullivan introduces (launches...

The "Top 10 Global Trends for 2026” report highlights the technological, geopolitical, and economic forces that will redefine the future of industries. The report covers the top trends that will transform the industries in 2026 and beyond.Some of the trends included are tariff-driven market shifts, hyper-connected reality, ethical use of AI, and ne...