Search results for: 'on autonomous'

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...

Multi-agent systems (MAS) for workflow automation are transforming enterprise operations by enabling multiple autonomous AI agents to collaborate, coordinate, and execute complex business processes across organizational functions. This report examines the global multi-agent workflow automation market between 2026 and 2030, focusing on advancements ...

This Frost Radar examines advanced driver assistance systems (ADAS), ADAS AI, and next-stage autonomous-driving technologies as a fast-evolving domain reshaping mobility and safety. As automakers, Tier I suppliers, chipmakers, AI software developers, and autonomous mobility companies improve perception, prediction, planning, validation, and vehicle...

Unmanned underwater network (UUN) technology is evolving from standalone underwater systems into smart, artificial intelligence (AI)-driven, and connected subsea ecosystems that enable advanced autonomous operations across defense, oceanography, offshore energy, and climate monitoring applications. This report examines the global UUN technology mar...

This research report frames artificial intelligence (AI) not as an incremental feature but as a paradigm shift in unified communications (UC), redefining how enterprises connect, coordinate, and get work done. For decades, UC platforms have acted as passive conduits—carrying calls, messages, and meetings between people. The emerging generation of A...

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...

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,...

Enterprise network services are undergoing structural transformation, driven by AI adoption, distributed architectures, regulatory complexity, and rising performance expectations. Managed and co-managed models are gaining momentum as organizations prioritize operational resilience, shared accountability, and access to automation at scale, capabilit...