Urbanization and economic and population growth have resulted in large increases in vehicle use, industrial activities, and energy consumption in cities around the world, leading to pervasive urban air pollution. For city officials to fully understand and improve air quality conditions, pollutants must be accurately measured, monitored, and managed. Currently, most cities measure air pollution using a collection of large environmental monitoring stations. These stations are accurate in measuring air quality data, but their high cost often limits the quantity of deployments, resulting in gaps in coverage. They are also static and may not capture the local nature of harmful pollution within city environments.
The growth of the Internet of Things (IoT) industry is presenting new possibilities for air quality monitoring and management for smart cities. Recent advances in sensor and communications technology, along with the growth in crowdsourced projects, has led to air quality monitoring solutions that are far smaller in size, less expensive, and more localized compared to legacy systems. Sensor networks are also becoming increasingly mobile, with several high profile projects (e.g., in Oakland, California and Glasgow, Scotland) attaching sensors to moving objects (such as cars and vans) to provide insight on how air quality differs from street to street within cities.
This Navigant Research report analyzes the market for air quality monitoring and management solutions for smart cities, with a focus on sensor networks. The study analyzes market and technology trends within the industry, as well as city technology and policy solutions for managing air quality. It also examines significant air quality monitoring projects and case studies of deployments from around the world, as well as the competitive landscape.