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As edge computing becomes more prevalent, DAQ systems are being increasingly integrated with edge devices. This allows for real-time data acquisition, processing, and analysis closer to the source of data generation, reducing latency and bandwidth requirements. Edge-enabled DAQ systems enable faster decision-making and improved responsiveness in applications such as industrial automation, smart infrastructure, and IoT deployments.
There is an increasing adoption of wireless and IoT-enabled DAQ systems, influenced by the need for flexibility, mobility, and scalability in data acquisition applications. Wireless DAQ solutions eliminate the need for cumbersome cabling, enabling easier deployment and installation in remote or hard-to-reach locations. Additionally, IoT-enabled DAQ systems leverage connectivity and sensor technologies to enable seamless integration with existing IoT ecosystems, enabling organizations to leverage data from diverse sources for enhanced insights and decision-making.