Search results for: 'edge measures in ac'

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, and service delivery, and an improved user experience. By bringing computing closer to the data source, edge computing ...

Frost & Sullivan's annual survey of IT and business decision-makers, now in its 16th year, aims to understand their perceptions, decisions, and purchasing behaviors. In 2024, Frost & Sullivan introduced a new set of questions focused on multi-access edge computing (MEC) to the yearly survey, and in 2025, it is possible to contrast results for 2024 ...

The SSE market is growing dramatically, but that growth will slow in the next few years. Expect continued year-over-year (YoY) growth above 25% for at least the next three years. Two mad rushes drive that growth: large enterprises pursuing secure cloud transformation to move from legacy hardware to a cloud ZTA, and medium enterprises upgrading from...

The Frost Radar™ for the next-gen content delivery networks (CDN) and edge services industry analyzes providers offering services to deliver web content, video, and applications to end-users with high performance, low latency, and robust security. The CDN market has evolved to include:1. Traditional Content Delivery: caching, content acceleration, ...

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...

13 May 2025  |  Global  |  Technology Research

Technological Advances in Edge AI Transforming Industry 4.0

Data Privacy and Low-cost Optimization are Driving Growth

Infographics

×

Edge AI has seen significant growth in recent years due to the growing demand for AI-enabled solutions in various sectors, including automotive, defense, aerospace, consumer electronics, manufacturing, and energy. It can be used in a wide range of applications at various levels and is a key contributor to the adoption of Industry 4.0-based automati...

The edge AI accelerator market is scaling rapidly as industries demand low-latency, privacy-aware intelligence for autonomous vehicles, industrial automation, smart cameras, robotics, and other applications. Cloud-based inference faces more limits from bandwidth, latency, and data sovereignty concerns, creating a strong pull for on-device AI proces...

This edition captures developments related to Generative AI, AI-driven SaaS Platform, FinOps Solution, Edge AI, Deepfake Detection, Smart Travel Management, AI-powered App Testing, Cellular IoT Solution, Industrial IoT Edge Solution, Data Labeling.ITCC TOE’s mission is to investigate emerging wireless communication and computing technology areas in...

This edition of the ITCC Technology Opportunity Engine captures developments related to AI Observability, Enterprise AI Data Integration, Geospatial Estimator Platform, Edge AI-Driven IoT Platform, AIIoT & Edge Platform, AI-Optimized Edge Processing, Cloud-Native Infrastructure Management, Blockchain Payment, Quantum-Classical Hybrid Computing Plat...