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The Frost Radar™ on electronic computer-aided design (ECAD) offers a competitive benchmark analysis derived from Frost & Sullivan’s CAD Growth Opportunities report. It ranks nine companies on their growth potential and ability to innovate.Product design has become more complex in recent years, and manufacturing companies are demanding new tools and...

Multimodal sensor fusion is an advanced perception technology that combines data from multiple sensors, including cameras, LiDAR, radar, ultrasonic sensors, thermal cameras, and inertial measurement units (IMUs), to give robots and autonomous systems a more accurate, reliable, and comprehensive understanding of their environment. It overcomes the l...

This Frost Radar™ benchmarks supervisory control and data acquisition (SCADA) platforms for industrial control environments, evaluating leading vendors on innovation and growth. The analysis examines how platforms are evolving to support brownfield modernization, secure remote access, multisite standardization, open architectures, IT/OT integration...

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...

The escalating compute and power demands of edge AI are exposing the limits of conventional von Neumann architectures. Manufacturers deploying always-on sensing, real-time inference, and autonomous decision-making at the edge are constrained by the energy, latency, and memory-bandwidth ceilings of standard NPUs and MCUs. Traditionally, edge AI work...

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...

This tracker offers a quantitative model with revenue and forecasts for the humidity and moisture sensors market by the end user, region, product, measurement, and technology. It describes drivers and restraints and gives an overview of the competitive landscape of the market. It traces key factors that have led to the change in market shares of va...

As manufacturers and industrial operators try to make operational data more accessible, interoperable, secure, and usable across enterprise environments, organizations are investing in industrial connectivity software that can connect heterogeneous OT assets, bridge legacy protocols, support edge-to-cloud data flows, and enable scalable industrial ...

This study explores potential growth opportunities for robots in the agriculture industry. Driven by advancements in AI/ML, machine vision, and autonomous navigation, agricultural robots are executing tasks such as planting, weeding, harvesting, spraying, and crop monitoring with greater precision and efficiency. Designed for workforce augmentation...