New industry leaders in average invoice growth: transport logistics and HealthTech
The companies with the biggest average invoice are still from the IT, banking, and retail sectors:
M.Video-Eldorado Group migrated their customer products to Yandex Cloud. More than 70% of M.Video-Eldorado’s retail operations are currently supported by cloud solutions. Since 2021, the company has tripled its platform service usage.
Bank Saint Petersburg migrated its internet banking services to Yandex Cloud. The bank also leveraged the cloud platform to develop a new site and roll out a separate app for their offering system.
Rubetek rolled out a combined IoT platform on Yandex Cloud that brings together systems for automated fire alarms, entrance security, access control, resource usage, video surveillance, and smart homes.
But companies in other industries are stepping up their demand for a variety of service groups too.
In the first half of 2022, transportation companies increased their usage of cloud services, their average invoice doubling. The transportation industry leverages cloud services to localize service system data and automate communication with passengers:
- Ural Airlines rolled out a passenger service system in Yandex Cloud.
HealthTech companies are showing more interest in cloud services (the average invoice grew 2.7 times). An industry favorite is services for cloud data, with the average invoice for the group growing 4.3 times. The platform is used in medicine to securely store and process sensitive data, quickly check hypotheses, and rapidly scale infrastructure:
- CVisionLab used Yandex Cloud to develop a service for analyzing lung CT scans. The technology processes 90% of cases in 2.5 minutes, from the incoming query from the medical institution to the notification of the results being ready.
It’s important to also note the growth in real usage and active interest in what we have to offer on the part of manufacturing. The average invoice for these companies also doubled. Over the past year and a half, manufacturing companies started using machine learning and Managed Service for Kubernetes® much more to automate roll-out, scaling, and management of containerized apps.