Search results for: 'computation management software'

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...

Research Overview This Frost & Sullivan study analyzes the convergence trends of information technology and operational technology (IT/OT), changing buying behavior, influence of disruptive technologies, competitive intensity and impact of economic and mega trends in the global plant asset management (PAM) market. In addition to PAM software 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...

Industrial control and automation have been historically dependent on hardware devices and proprietary, vertically integrated systems. Shifting the centralization of logic and intelligence from hardware into software that can run on any capable device is a key step in improving productivity and flexibility in manufacturing. This shift also addresse...

As manufacturers and industrial operators try to make operational data more accessible, interoperable, secure, and usable across enterprise environments, organizations are investing in industrial connectivity software that can connect heterogeneous OT assets, bridge legacy protocols, support edge-to-cloud data flows, and enable scalable industrial ...

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...

Software-defined automation (SDA) represents a paradigm shift in industrial and manufacturing control systems that addresses traditional operational technology (OT) architectures' limitations. As proprietary, hardware-intensive automation systems reach the end of their life cycles, they increasingly hinder innovation, scalability, and adaptability ...

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...