IoT based Asset Tracking and Monitoring Market Trends 2027

The IoT based Asset Tracking and Monitoring market is projected to grow from USD 3.9 billion in 2022 to USD 6.6 billion by 2027; it is expected to grow at a CAGR of 11.3% from 2022 to 2027.

The major players in the IoT based Asset Tracking and Monitoring market include Quectel (China), Sierra Wireless (Canada), Telit (U.K.), u-blox (Switzerland), Thales (France), Sony Semiconductor Israel Ltd. (Israel), Fibocom Wireless Inc. (China), Nordic Semiconductor (Norway), GosuncnWelink Corporation (China).

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North America is estimated to lead the global market during the review period owing to a high inclination toward technologically advanced products. The region is a hub for technological innovations and an early adopter of new technologies. The large presence of major companies in the region, high demand for connected technologies, increased use of innovative devices, and rising deployment of connected technologies are expected to drive the growth of the North American IoT-based asset tracking and monitoring market during the review period.

Various cellular technologies, notably the emergence of fifth-generation cellular connectivity (5G) and older generations of services, are used to track assets worldwide. From many kilometers away, cellular asset monitoring, such as placement utilizing 2G, can detect an object’s state, city, or even neighborhood. However, it is not particularly precise. As a result, cellular asset tracking is usually reserved for larger assets that are easy to locate, e.g., 18-wheelers and buses. The most apparent benefit of cellular asset monitoring is that it can typically be used from the point of origin to the point of delivery without the use of additional technology.

The emergence of automation has changed the working of the automotive sector inside-out and made the IoT popular. For instance, automobile manufacturers are utilizing IoT in advanced planning and scheduling to capture real-time production and inventory data and minimize waste and cycle time. They are also using IoT-based analytics in multiple applications, from optimizing inventory in hand to adopting replenishment strategies in production lines for quality testing using optical-based analytics.