Google Cloud and Sigfox announced that it has partnered with Google Cloud to scale its cloud infrastructure and extend its IoT services portfolio. This partnership will enable Sigfox to accelerate its “Massive IoT” agenda—processing billions of messages each month from objects connected to the internet using data stored in the cloud.
Sigfox is a dedicated LWAN service provider for connecting simple, low-powered, low-cost IoT devices to the Internet. Already deployed in 72 countries, covering more than 1.3 billion people, Sigfox’s 0G network is used
for a wide range of IoT use cases, from tracking shipping containers and monitoring fire hydrants, to securing buildings and helping farmers monitor irrigation levels. In recent years, due to an explosion in the number of internet-connected devices, Sigfox now processes billions of messages each month from the millions of objects connected to its network—and the company needed a more scalable, long-term solution.
Google Cloud was chosen as the backbone for Sigfox’s 0G network to bring better scale, increased reliability, and best-of-breed compliance and security to Sigfox’s platform. Google Cloud will also enable faster improvements to Sigfox’s connectivity, geolocation, and other value-added services towards ultra-low-cost and ultra-low-power IoT solutions.
Sigfox’s shift to the cloud will transform many of the applications across the range of industries in which it operates, including supply chain and logistics, automotive, postal services and utilities. This includes the Sigfox auto parts solution, which tracks components on their journeys between assembly plants and suppliers with sensor-equipped containers. Or Sigfox’s solutions for utility companies that digitize the data collection of gas consumption meters, retrofitted Network Controlling Units, and smart features. Also, shipping companies fit trolley rollers or containers with Sigfox smart trackers to give exact information on location, movement and condition. All of them will be now cloud-enabled, helping provide a scalable and seamless way to manage exponential data growth.