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The integration of smart sensors with AI & ML algorithms allows for intelligent data processing and analysis. AI-driven analytics enhances the capabilities of smart sensors, enabling predictive maintenance, anomaly detection, and pattern recognition. This integration leads to more efficient and proactive decision-making processes.
The integration of smart sensors into IoT ecosystems continues to drive the market. IoT applications range from smart homes and cities to industrial IoT. Smart sensors enable the collection of real-time data, enabling businesses and individuals to make informed decisions. IoT integration also promotes the development of smart grids, connected vehicles, and precision agriculture.
The automotive industry is witnessing a rising demand for smart sensors, especially in Advanced Driver-Assistance Systems (ADAS). Sensors such as LiDAR, radar, and cameras are crucial for enabling autonomous driving features. As the automotive sector continues to invest in self-driving technology, the demand for smart sensors is expected to increase.