Industries

A private cellular network, or a non-public network, as defined by the 3rd Generation Partnership Project (3GPP), is an isolated network that restricts the devices that connect to it. Public cellular networks initially carried primarily voice traffic, but data traffic now dominates these networks. This includes internet access and an ever-increasin...

Frost & Sullivan's annual survey, now in its fifth year, offers critical insights into the perceptions and behaviors of IT and business decision-makers as they navigate the rapidly evolving landscape of cloud technologies and Internet of Things (IoT) applications. Since 2020, Frost & Sullivan has conducted an annual survey targeting IT and business...

Public safety solution providers must proactively seek Growth Opportunities as they negotiate the challenges of transformational growth in today’s rapidly evolving United States public safety sector. This journey is loaded with challenges, including a higher chance of failure due to the magnitude of transformation and the requirement for organizati...

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...

Advanced robotics and autonomous systems (RAS) are rapidly transforming industrial operations by integrating adaptability, intelligence, and precision into core processes across various sectors, including healthcare, manufacturing, automotive, and agriculture. Continuous advancements in hardware and AI-based decision-making are reshaping the capabi...

The 2025 edition of privacy-enhancing technologies (PETs) explores cutting-edge innovations that redefine secure data collaboration and regulatory compliance across industries. PETs enable organizations to analyze, process, and share sensitive data without compromising privacy—using advanced methods such as differential privacy, federated learning,...

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...

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...

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...