Search results for: 'Edge Computing and the Future of Data Management'

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...

The Future of the United States explores the transformative trends shaping national competitiveness, economic resilience, and technological leadership through 2035. US energy policy is reinforcing fossil fuel expansion while navigating the growth of renewables, addressing increasing electricity demand from AI-intensive industries, and modernizing t...

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...

17 Jan 2023  |  Global  |  Market Research

Regulations and Evolving Markets Drive Growth in the Quality Management Software Industry

The Enterprise-wide Capacities of Quality Management Software Drive Growth Opportunities

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As the QMS Systems market grows at a vertiginous pace, Frost & Sullivan provides a thorough, in-depth analysis of the dynamics shaping the industry to companies seeking entry as well as those who have already joined the fray. Quality applies to the entire product life cycle. It has implications across the entire enterprise value chain, so there...

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 Digital Thread is not a single technology but an entire ecosystem that links various enabling technologies to ensure smooth, continuous data flow. It integrates diverse tools and systems to maintain an uninterrupted stream of information across the manufacturing lifecycle. Industrial IoT sensors gather real-time data from machines, while cloud ...