On-device intelligence refers to the ability of Internet of Things (IoT) devices to perform data analysis and processing locally, without necessarily needing to transmit the data to the cloud. With increasing privacy concerns around data breaches and regulations like General Data Protection Regulation (GDPR), on-device intelligence provides an alternative to cloud-based AI by keeping user data private and secure on the device itself. This has the potential to open up new opportunities for artificial intelligence (AI) applications across a wide range of sectors like consumer electronics, automotive, healthcare, and others.
Market Dynamics:
The global on device intelligence market growth is driven by the growing demand for data privacy and security. Regulatory pushes like the General Data Protection Regulation (GDPR) have made organizations more conscious about data sovereignty and owning user information. At the same time, augmenting devices with on-edge capabilities can provide benefits like lower latency, independence from internet connectivity and reduced bandwidth usage. However, developing on-device models also poses challenges associated with the constraints of processor and memory availability on devices. Furthermore, ongoing research innovation is required to optimize models for deployment at the network edge while maintaining accuracy levels. Vendor lock-in with proprietary device architectures also acts as a restraining factor for the market. Nevertheless, the growing use of Artificial Intelligence of Things (AIoT) and increasing deployment of intelligent assistants, drones, Virtual Reality/Augmented Reality (VR/AR) devices provide significant opportunities for on-device intelligence solution providers.
Key Features of the Study:
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