The Edge AI Software market size is projected to reach USD 3363.7 Million by 2026, from USD 713.4 Million in 2019. Edge AI is the combination of Edge Computing and Artificial Intelligence. Machine Learning (ML) algorithms are processed locally on an edge device rather than in the cloud or remote data centre.
The algorithms use the data generated by the devices themselves, enabling them to make decisions in a matter of milliseconds. There are almost no limits to the potential uses of Edge AI from smart vehicles, homes, devices, buildings, cities, manufacturing, and more.
Edge processing is becoming cheaper, more powerful, and with lower power requirements, delivering:
Transferring data to the cloud and back to the device takes time. Edge AI eliminates the latency, particularly important for applications that require much quicker response times, such as in smart vehicles.
Edge AI enables almost real-time analytics, taking a fraction of a second. For time-critical situations this can be crucial and potentially lifesaving.
Increased information security and privacy
With less data moving back and forth to the cloud, there are fewer chances of data being hacked. Using a closed network makes this even harder for criminals to crack.
With the growth in connected IoT devices expected to generate 79.4ZB of data in 2025, Edge AI will ensure there isn’t a hold-up when it comes to data transfer, ensuring scalability.
How we can help
In this rapidly evolving landscape, understanding the trade-offs between the many opportunities is essential. We can support you whatever your current stage of development. Our experience of designing and developing edge devices for the home and other environments can help you navigate the technology landscape from chip to cloud. This experience includes:
- Video and voice processing with AI and ML.
- Embedded hardware and software development.
- Design for manufacture.
- Regulatory and compliance requirements and testing.
- Security and the requirements of secure by design including remote updates in the field and OS hardening and patching.
- Wireless connectivity.
- Cloud platforms and services.