Advances in sensors, IoT platforms and mobile communications technologies have led to the emergence of smaller, portable, low cost, mobile-enabled sensors that can measure and report air quality in near real time. “Big Data” capabilities, such as analytics and machine learning, can then be applied to this data and related data sets, such as weather and traffic, to understand the causes and fluctuations in air pollution. This guide illustrates how operators are building on their existing capabilities to successfully deliver new air quality services that create new revenue streams.