Data Acquisition System Market Size, Share & Trends

OPPORTUNITY: Surging demand for high-speed connectivity technologies such as 5G

Manufacturing, wireless communication, aerospace, and automotive industries are rapidly adopting 5G technology to meet the growing demands for low-latency connectivity and high-speed data transfer. In the automotive sector, 4G networks cannot support the advanced processes required for autonomous vehicles. Sophisticated systems such as onboard diagnostics, voice control, and image recognition require the ultra-fast and stable connectivity that 5G offers. These systems generate massive volumes of real-time data, necessitating DAQ systems for efficient testing, validation, and analysis.

Similarly, in the aerospace industry, 5G enhances the reliability of avionics by reducing latency and increasing communication speeds. It significantly improves manufacturing efficiency by seamlessly integrating robotics, sensors, and automation. Globally, countries such as South Korea, China, the US, and Germany are investing billions in 5G infrastructure to strengthen their digital capabilities and maintain competitiveness. These advancements create new opportunities for DAQ systems across various industries and drive innovation toward the large-scale deployment of these systems. Moreover, the growing use of smart factories, IoT sensors, and networked systems enhances the speed even more for high-demand DAQ solutions that can handle and monitor complex datasets in real time. This change is expected to play a pivotal role in leading Industry 4.0 initiatives worldwide.

CHALLENGE: Cybersecurity threats

Cyber attacks pose a serious threat to the deployment and development of data acquisition (DAQ) systems, especially as they become more integrated with enterprise networks, cloud computing, and IoT devices. Industries such as aerospace, automotive, energy, and manufacturing increasingly rely on real-time data, making DAQ systems attractive targets for cyber threats. These systems store sensitive information, including performance data and control commands, making them vulnerable to data breaches, unauthorized access, and tampering. A successful cyberattack could halt operations, compromise safety, and lead to significant downtime or equipment failure. Many legacy systems lack modern security features, making them particularly susceptible to ransomware, malware, and denial-of-service attacks. As wireless communication, remote access, and cloud storage become common in DAQ systems, the risk of cyber intrusion increases. This situation necessitates ongoing investment in cybersecurity infrastructure, including encryption, secure protocols, access controls, and threat monitoring. Implementing these measures can be costly and complex for smaller organizations, potentially hindering their adoption of advanced DAQ systems. Thus, addressing cybersecurity challenges is crucial for ensuring the secure and reliable performance of contemporary DAQ systems.