Search results for: 'edge computing market size'

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 ...

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...

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 ...

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...

20 Sep 2023  |  Global  |  Technology Research

Edge AI Accelerators—Emerging Opportunity Analysis

Expanding IoT Applications Drive Growth

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Specialized edge AI hardware that enables quick deep learning on-device has become essential due to the rising need for real-time deep learning workloads. Additionally, a cloud-based AI method cannot ensure data privacy, low latency, or offer high bandwidth. As a result, many AI workloads are shifting to the edge, increasing the demand for speciali...

06 Sep 2017  |  North America  |  Market Research

Intelligence at the Edge—An Outlook on Edge Computing

Edge Computing Solutions will Redefine Analytics for Manufacturing OEMs

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Manufacturing, across the globe, is at the brink of a revolution. Advances in technologies are not only making manufacturing effective, but are enabling work to be “smarter”. The focus of this research on edge analytics is to analyse the industrial manufacturing market from a technology standpoint. The report could be extremely helpful to the...

Edge computing pushes intelligence, data processing, analytics, and communication capabilities to where the data originates: at network gateways or endpoints. The aim is to reduce latency and ensure efficient networks, operations, service delivery, and an improved user experience. Private multi-access edge computing (MEC) is a private mobile networ...

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...