According to the report, on-device AI already powers one third of smartphones. By 2023, the report forecasts, 80% of smartphones will have on-device AI.

“Edge AI computing where AI processing is brought from the cloud to smartphones, is increasing the need for on-device AI solutions,” says Senior Analyst Ville-Petteri Ukonaho. “Advantages of on-device Edge AI computing include lower latency, better data privacy. and overall lower power consumption.”

Ken Hyers, Director at Strategy Analytics, adds, “A smartphone equipped with on-device AI can perform key tasks more efficiently. On-device AI can perform tasks such as taking pictures with sharper images and better videos, improve communication, and better sense surroundings, making smartphones of the future more useful tools for users.”

Physical AI cores make up the majority of on-device AI smartphone volumes, says the firm, with over 95% share of on-device AI processing solutions. These include physical silicon cores like Huawei’s Neural Processing Unit (NPU) and software frameworks like Qualcomm Neural Processing Engine (NPE) that use algorithms to offload AI computation to several processors.

Upcoming technologies such as 5G will greatly benefit from the new capabilities improved by AI and vice versa, the firm says. For more, see the report “Smartphones: Global Artificial Intelligence Technologies Forecast: 2010 to 2023.”

Strategy Analytics

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