Search results for: 'edge computing data storage'

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...

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...

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...

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...

Micro-sensors are no longer just components that capture data—they are becoming the intelligence behind connected products and autonomous systems. As industries demand faster decisions, greater reliability, and continuous monitoring, sensing platforms are evolving by combining embedded AI, advanced materials, low-power design, and connected archite...

29 Dec 2025  |  Global  |  Market Research

Pumps and Valves Market in Data Centers, Global, 2024–2031

AI Expansion and Liquid Cooling Adoption are Accelerating the Demand for Pumps and Valves in Data Centers

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This study provides an understanding of the market opportunities for pumps and valve suppliers in data centers with forecasts until 2030. Pumps and valves play a vital role in maintaining the efficiency and overall sustainability of data center operations. As part of a larger system, these are extensively used for cooling and water management purpo...