Search results for: 'edge data center indonesia'

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...

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...

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...

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...

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...

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...

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...

IIoT (Industrial Internet-of-Things), came into reality during the advent of Industry 4.0. The technology provided immense data communications and connectivity between all devices. The fourth industrial revolution changed the whole manufacturing spectrum. The technology helped manufacturers to tremendously increase their efficiency and productivity...

The COVID-19 pandemic outbreak has resulted in a global economic downturn, as countries imposed movement control orders and shut down businesses. Similar to most other markets worldwide, the demand for industrial robots is forecast to plummet in 2020. The high initial costs and lack of supportive infrastructure are likely to impede market growth in...