PUBLISHER: Grand View Research | PRODUCT CODE: 1751509
PUBLISHER: Grand View Research | PRODUCT CODE: 1751509
IoT Data Management Market Summary
The global IoT data management market size was estimated at USD 83.21 billion in 2024 and is projected to reach USD 170.66 billion by 2030, growing at a CAGR of 12.0% from 2025 to 2030. The market is driven by several key factors, including the rising prevalence of infectious diseases among companion and livestock animals, increasing pet ownership, and growing awareness of animal health.
The market growth is primarily driven by the rapid adoption of connected devices across industries, which generate massive volumes of data requiring efficient management. The increasing deployment of IoT sensors and devices for real-time monitoring and automation is boosting demand for advanced data management solutions. Growing concerns over data security and regulatory compliance are also driving investments in robust IoT data management platforms. The integration of AI and machine learning with IoT data management is facilitating enhanced analytics and predictive capabilities, fueling market expansion.
The increasing deployment of connected devices and sensors is significantly driving the growth of the market. As industries adopt IoT solutions across manufacturing, healthcare, transportation, and smart cities, the volume of data generated continues to surge, necessitating robust data management platforms. This growing data influx compels businesses to implement scalable and efficient IoT data management systems to handle vast datasets collection, storage, and real-time processing, thereby enhancing the overall IoT data management industry.
The rising concerns around data security and privacy are propelling advancements in IoT data management. Organizations are prioritizing secure data transmission, storage, and compliance with regulatory frameworks, pushing providers to innovate in encryption, access control, and data governance technologies. These improvements protect sensitive information and build trust in IoT ecosystems, encouraging wider adoption across sectors.
Furthermore, the integration of edge computing with IoT data management is reshaping the market landscape. Processing data closer to the source, edge computing reduces latency, lowers bandwidth costs, and enables faster analytics, making IoT applications more responsive and efficient. This shift supports critical use cases such as autonomous vehicles, industrial automation, and remote monitoring, driving demand for the advanced IoT data management industry.
Moreover, the expansion of 5G networks is providing the necessary infrastructure to support massive IoT connectivity and high-speed data transfer. The enhanced bandwidth and low latency offered by 5G facilitate seamless real-time data exchange between devices and cloud platforms, boosting the effectiveness of IoT data management systems. This technological advancement is expected to be a key driver for market growth in the IoT data management industry.
Global IoT Data Management Market Report Segmentation
This report forecasts revenue growth at global, regional, and country levels and provides an analysis of the latest technological trends in each of the sub-segments from 2018 to 2030. For this study, Grand View Research has segmented the global IoT data management market report based on component, deployment, organization size, application, and region: