Global Machine to Machine (M2M) Homeland Security Market 2017-2021

Overview of the global machine to machine (M2M) homeland security market

Market research analysts at Technavio predict that the global machine to machine (M2M) homeland security market will grow steadily over the next four years at a CAGR of around 55% by 2021. Infrastructure resilience is identified as one of the primary growth factors for this market. Urban cities depend mostly on the effective functioning of infrastructure systems such as electric power, potable water, and transportation networks. At the time of disasters, infrastructure gets severely interfered due to network properties of infrastructure. To mitigate these problems, new engineering designs, materials, and retrofitting strategies were developed to enhance the capabilities of infrastructure elements to withstand natural and human-made hazards. With the incorporation of M2M technology in security systems, proactive planning can be achieved to attain flexibility, thus reducing emergency response delay and recovery costs. Moreover, the timely updates from networked devices can lead to effective risk anticipation and preventive measures are appropriately implemented to reduce the severity levels.

One of the latest trends that will gain traction in the M2M homeland security market is the fire detection and suppression using integrated intelligence systems. Fire explosion creates devastating effects on families and businesses by the loss of life and creating huge damages. M2M aviation homeland security systems are designed to identify the possible occurrence of explosion through integrated device communication and warnings. These security systems can be monitored and tested for effectiveness on a regular basis at a reasonable budget through the deployment of M2M technology such as fire prevention system (FPS). For instance, Westminster, a key provider of aviation security systems introduced WG FPS that differs from conventional fire extinguishing systems in providing a continuous level of prevention rather than a one-off discharge using M2M intelligence through predictive maintenance techniques.

Competitive landscape and key vendors