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Fiber optic sensing solutions utilize the light medium as the physical source to detect variations in temperature, acoustics, strain, and vibrational parameters. Fiber optic sensing uses an optical fiber cable as the sensor device to create a continuous point of sensing along the fiber cable. This method of sensing is known as distributed fiber opt...

The era of robotics is becoming a disruptive force in the food and beverage (F&B) industry, most notably in production, services, and delivery. By leveraging advanced AI, sensing technologies, and adaptive automation, robotic technologies are delivering groundbreaking advancements in operational precision, performance, and reliability. This transfo...

Scope of the report The research report includes the following segments: Product scope: Active RFID, Passive RFID, RFID sensor tags, RTLS Geographic scope: Global End-user scope: RFID companies, Food Manufacturers, Logistics service providers, Cold Chain companies, Food Retail Companies, Pharmaceutical Companies Revenue analysis and forec...

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 Microelectronics Technology Opportunity Engine covers innovations pertaining to SRAM, Multi-chip Architecture, LoRa and AI Accelerators. Some of the innovations profiled include 2nm Custom SRAM for AI & Cloud Infrastructure Applications, Modular Quantum System with Reduced Gate Error and Multi-Chip Architecture, Microcontroller Series with High...

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 evaluates photonic and optical computing technologies as critical enablers of next-generation AI infrastructure, addressing growing bandwidth, latency, power consumption, and scalability constraints associated with copper-based interconnects. The analysis covers photonic integrated circuits (PICs), optical I/O chiplets, co-packaged optics...

The study evaluates photonic and optical computing technologies as critical enablers of next-generation AI infrastructure, addressing growing bandwidth, latency, power consumption, and scalability constraints associated with copper-based interconnects. The analysis covers photonic integrated circuits (PICs), optical I/O chiplets, co-packaged optics...

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...