Search results for: 'application mining of emerging battery technologies'

Apple Inc’s integration of VCSELs into smartphones for 3D sensing applications has triggered R&D activities and demand for the technology amongst its competitors. The technology showcases high adoption potential across various industries such as consumer electronics and automotive in the long term. VCSELs hold potential to disrupt existing illumina...

Sensors are finding an increasing penetration in the HVAC market. This is supported by both the need and the regulations to achieve safety, comfort and accuracy in monitoring indoor climate control. The increased demand for sensors is also strongly supported by the technological improvements in the HVAC systems. The strong demand for different type...

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...

This research service covers key technology trends in the sensors and controls cluster. Sensor technologies that are bound to have high impact in several key end application segments in the near-term and medium-term are profiled in the research service. The study captures technology adoption across the globe, key stakeholders, drivers and challenge...

Advanced edge AI sensors solutions are rapidly transforming industrial operations by integrating adaptability, intelligence, and precision into core processes across various sectors, including consumer electronics, manufacturing, automotive, and agriculture. Continuous advancements in sensor hardware and AI-based decision-making are reshaping the c...

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...

Digitization trends and automation technologies can significantly improve efficiency of processes and efficiency of oil and gas plants. This is owing to their ability to perform seamless operations and enable informed decision-making by means of data analysis using AI-based software analytics platforms. Conventionally, the oil and gas industry has ...

Energy harvesting sensor solutions are emerging as a foundational layer for large-scale ambient IoT, enabling autonomous, battery-free sensing across distributed and infrastructure-intensive environments. By converting ambient energy sources such as light, heat, vibration, and RF into usable power, these sensors eliminate the need for wired power a...

This study aims to provide a quantitative model that describes revenues and forecasts of different pressure sensors and transmitters categorized into 9 different technologies types which can be further classified into wired and wireless. It also provides revenues and forecasts in terms of 33 end users of pressure transmitters that can be categorize...