ARM announced that it has acquired Stream Technologies in a deal that will bring Stream’s connectivity management capabilities to ARM’s Mbed IoT Device Management Platform. The integration of Stream tech is expected to provide customers with greater efficiencies and cost savings while managing connected devices regardless of location or network (Stream supports connectivity across wireless protocols including cellular, satellite and LoRa). ARM also recently announced a new processor designed to prevent attacks and tampering with IoT devices.

ARM is “envisioning one trillion connected devices by 2035,” reports ZDNet. “Founded in 2000, Stream has more than 770,000 managed subscribers. Its existing customers will not see their service changed, Stream said on its site.”

Integrating Stream tech into the Mbed platform “will provide organizations with a robust end-to-end IoT platform for managing, connecting, provisioning and updating devices that is easily scalable and flexible,” explains ARM IoT Cloud Services SVP and GM Hima Mukkamala in the news release. “This scalability is critical as we move from billions to trillions of connected devices.”

ARM details the following benefits from the integration of Stream with the Mbed IoT Device Management Platform:

• Single pane of glass that provides customer visibility and management capabilities throughout the device’s lifecycle – deployment, connectivity, provisioning, management, and updates.
• eSIM orchestration that communicates and connects policies enabling zero touch onboarding that drive efficiencies and scale of IoT connections.
• Global aggregation across network types and flexible wireless connectivity options that can be optimized across devices, regions, and use cases that are deployed.
• Simplified billing and reconciliation through APIs and automated controls that can charge based on any event for increased flexibility.
• Connect and manage any device regardless of network type to steer reliable and trusted data, seamlessly push new updates and features, and optimize quality-of-service and latency for troubleshooting.