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

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...

This edition of IT, Computing and Communications (ITCC) Technology Opportunity Engine (TOE) captures developments related to Hyper-Distributed Edge Cloud, Edge AI Orchestration, Edge IoT, Real Time Analytics, Marketplace, Application Risk, 5G Data Management, AI Voice, Private Network PaaS, No-Code Workflow Automation, Vision AI, Digital Learning a...

This edition of IT, Computing and Communications (ITCC) Technology Opportunity Engine (TOE) explores transformative innovations reshaping enterprise digital infrastructure. It showcases advancements across cloud-native platforms, edge computing, AI, and immersive technologies. Highlighted solutions include a unified edge management system streamlin...

Frost & Sullivan’s global IoT and Edge predictions for 2025 are based on insights gathered from our regional research teams. The contributions from research analysts leverage the extensive Frost & Sullivan knowledge base alongside both primary and secondary research.The report identifies the top 10 growth opportunities for 2025, encompassing analys...

Enterprises managing revenue-generating digital services face a structural tension at the core of the edge distribution platform (EDP) market: the architectures built to deliver static content are increasingly misaligned with the performance, security, and resilience demands of modern applications. Fragmented tooling across delivery, security, and ...

Private multi-access edge computing (MEC) involves deploying dedicated computing and networking resources on a client's premises. It prioritizes ultra-low latency, data security, and customization, making it ideal for industrial automation, smart factories, and applications demanding real-time control and stringent data privacy. This segment of the...

This research service analyzes the notable developments in the global quantum computing market. Quantum computing is a field of computing that leverages the principles of quantum mechanics to handle information using qubits. Qubits can be in a superposition of states, enabling quantum computers to do calculations at considerably greater speed than ...

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...

17 Aug 2020  |  North America  |  Market Research

5G and Edge Computing—Cloud Workloads Shifting to the Edge, Forecast to 2024

Multi-access Edge Computing (MEC) Deployments to Proliferate as Applications Demand Decentralized Computing

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The term 'Edge Computing' refers to computing that pushes intelligence, data processing, analytics, and communication capabilities down to where the data originates, that is, at network gateways or directly at endpoints. The aim is to reduce latency, ensure highly efficient networks and operations, as well as service delivery and an improved user e...