Search results for: 'APICloud-Native Application Protection Platforms'

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...

LiDAR technology has dramatically transformed in the last decade, creating significant demand for small, affordable, reliable, and sustainable LiDAR sensors. The need for efficiency, accuracy, depth mapping, low-light imaging, and videography in automotive, industrial, infrastructure, and consumer electronics products has driven LiDAR adoption acro...

22 Dec 2023  |  Global  |  Technology Research

Impact Assessment of Advanced Electronics Technologies for AR, VR, and XR Applications

Computing, Display, Sensors, and Controls Drive Growth Opportunities

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Augmented reality (AR), virtual reality (VR), and mixed reality (MR) refer to the spectrum of experience and technologies that connect the real and virtual worlds. These technologies immerse users or augment the real world through audio, visual, and haptic cues. This research report analyzes the global AR, VR, and MR markets as subsegments of the b...

24 Apr 2017  |  South Asia, Middle East & North Africa  |  Market Research

The Middle East Fire Protection Market, Forecast to 2021

Government Regulations and Booming Construction Drive Demand

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Rising fire accidents, government mandates, and stringent implementation are leading to increased installation of fire protection systems in the Middle East. This, coupled with increasing fire protection expenditure by institutions and enterprises and technological innovations, is driving the overall market. Technology advancement driving adoption ...

Simultaneous localization and mapping (SLAM) technology in imaging applications is relying on sensor technologies and software algorithms. SLAM allows autonomous systems such as self-driving cars, robots, and drones to simultaneously build a map of their surroundings, navigate, operate effectively, and estimate their position on that map. It levera...

Disruptive AI models are increasingly challenging traditional assumptions about “classic” cloud data centers. As training clusters scale up to thousands of accelerators and consume tens of megawatts of power, the conventional CPU-centric, air-cooled, monolithic server model is no longer sustainable. This research study explores the megatrend of AI ...

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 study includes analysis of the World RFID-based Applications Market. Analysis presented by application segments that include transportation, supply chain management, security, access control and asset managemnet and other applications. Also broken down by tags and readers. Segments includes drivers, restraints, challenges, revenue forecasts, ma...

08 Apr 2025  |  Global  |  Technology Research

Technological Advances in Photonic Sensing Impacting the Healthcare and Manufacturing Sectors

Harnessing the Power of Light: Photonic Sensing for Advanced Healthcare and Manufacturing Solutions

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Photonic sensing has become a disruptive force in a few sectors, most notably industry and healthcare. Photonic sensors provide groundbreaking advances that enhance precision, performance, and reliability in critical applications by utilizing the unique properties of light for detection, measurement, and imaging. Photonic sensing is revolutionizing...