Transportation is the largest application and includes IoT-based systems to manage traffic flow. For example, there is great economic potential in the use of IoT that could come from adjusting commuting schedules based on actual tracking data of public transit systems (buses and trains). Up to 70 percent of commuting time today is “buffer time”—the extra time between when the rider arrives at a stop or station and when the bus or train actually leaves.
Even though adoption rates for autonomous cars and other IoT technologies in the cities of advanced economies is likely to be higher, developing-economy cities are likely to capture nearly 40 percent of value since their populations are growing so rapidly. Also, because so many developing economies are resource-rich.