Product Development and Market Validation of Embedded IoT Solutions for Sustainable Industrial Innovation Under SDG 9

This research focuses on the design, development, and market validation of embedded Internet of Things (IoT) solutions to support sustainable industrial innovation in alignment with Sustainable Development Goal 9 (SDG 9), which emphasizes resilient infrastructure, inclusive industrialization, and technological advancement. The study proposes a cost-effective and energy-efficient IoT-based system using the ESP32 micro controller for real-time monitoring and predictive maintenance of industrial equipment. The developed system integrates multiple sensors, including temperature, humidity, and vibration sensors, to continuously collect operational data from industrial environments. This data is transmitted wirelessly to a cloud-based platform, enabling real-time visualization, analysis, and early detection of potential faults. The system aims to reduce machine downtime, improve operational efficiency, and minimize maintenance costs through data-driven decision-making. To validate the feasibility and market potential of the proposed solution, both primary and secondary data were collected. Primary data was gathered through structured questionnaires and user surveys targeting students, technicians, and small-scale industries, while secondary data was obtained from research publications, industry reports, and SDG-related documents. The analysis reveals a high level of awareness about IoT technologies, along with a strong willingness among respondents to adopt affordable and user-friendly automation solutions. The findings demonstrate that embedded IoT systems can significantly enhance productivity, optimize resource utilization, and contribute to sustainable industrial practices.
Keywords: Market Validation, Internet of Things (IoT), Sustainable Development Goal 9 (SDG9)