At the Mobile World Congress in Barcelona in 2026, the LoRa Alliance shared its vision for the future. This vision shows how LoRaWAN and artificial intelligence will work together. The LoRa Alliance thinks that LoRaWAN and artificial intelligence will change how connected devices work. Artificial intelligence is becoming increasingly important for decision-making in industries. The LoRa Alliance said that when LoRaWAN and artificial intelligence are combined, the Internet of Things will become more than a way for devices to connect.
LoRaWAN’s Growing Global Presence
By the end of 2025, more than 125 million LoRaWAN devices had been deployed globally. This shows that LoRaWAN is one of the popular LPWAN technologies.
LoRaWAN uses little power, can handle many devices and is not expensive. These features make LoRaWAN important for areas such as cities, farming, and industrial monitoring and asset tracking.
Now LoRaWAN is getting better with AI. It can be thought of as a " nervous system” for smart systems. LoRaWAN collects real-world data from sensors. The AI then looks at this data. Gives useful information. This information is sent back through the LoRaWAN network. It helps to make things automatic, predict problems and improve business results with LoRaWAN. The AI and LoRaWAN work together to make LoRaWAN more useful. LoRaWAN is becoming a part of many smart systems.
AI at the Edge: Real-Time Intelligence
The big news from the event is that edge AI is really taking off in LoRaWAN ecosystems. Now, devices like sensors and cameras have AI built into them. This means they can process the data they collect there on the spot.
This is a thing for a few reasons.
-It means these devices do not need to be talking to the cloud all the time
-It cuts down on the time it takes to detect something. Then do something about it
-It makes everything work smoothly and quickly
Some companies are already using cameras with AI for things like watching what is going on in real time and counting how many people are around. For example Seeed Studio and Milesight are doing this. Then there are industrial companies like Honeywell and Advantech. They are using sensors with AI to catch problems with their equipment before they get serious and to schedule maintenance ahead of time. Edge AI is making a difference in LoRaWAN ecosystems and it is going to be interesting to see what happens next, with edge AI.
AI in the Core: Intelligent Network Operations
The integration of AI also extends into the LoRaWAN network core, where it enhances overall performance and reliability. AI-driven systems can:
- Detect anomalies
- Predict system failures
- Optimize network efficiency
For example, Kudzu Technologies uses agentic AI in its CanopyNOC platform to autonomously monitor networks, identify issues, and provide actionable insights—helping operators maintain stronger, more secure systems.
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