Smart Lock Market size worth $ 7.13 Billion, Globally, by 2030
According to Verified Market Research, the Smart Lock Market size was valued at USD 2.55 Billion in 2021 and is projected to reach USD 7.13 Billion by 2030, growing at a CAGR of 13.71% from 2022 to 2030.
The increasing need for high performance Integrated Circuits is a major factor in the growth of the global smart lock market. By processing and storing data on the same chip, neuromorphic devices can significantly cut down on the amount of time a typical CPU spends moving data around. The time a regular CPU would have needed to shuttle data between a block of memory and the processor handling these memories' processing tasks is significantly decreased by the ability to combine processing and storage. So, the demand for higher-performing ICs is assisting the market's growth in the pursuit of efficient computing.
n order to increase productivity and product quality, a wide range of sectors needs to automate their processes with the use of artificial intelligence and machine learning. Numerous businesses, including those in the medical, media, telecom, auto, food, and beverage sectors, use AI extensively. Because SNN can make flexible and agile decisions while taking the situation's context into account as well as past experiences, it can effectively address the difficulties that these industries frequently face. Combining AI with ML can improve the efficiency of applications including fraud detection, credit scoring, speech recognition, self-driving cars, image classification, and language translation. The market is expanding as a result of an increase in demand for general-purpose cognitive and brain robots.
The increasing need for high performance Integrated Circuits is a major factor in the growth of the global smart lock market. By processing and storing data on the same chip, neuromorphic devices can significantly cut down on the amount of time a typical CPU spends moving data around. The time a regular CPU would have needed to shuttle data between a block of memory and the processor handling these memories' processing tasks is significantly decreased by the ability to combine processing and storage. So, the demand for higher-performing ICs is assisting the market's growth in the pursuit of efficient computing.
n order to increase productivity and product quality, a wide range of sectors needs to automate their processes with the use of artificial intelligence and machine learning. Numerous businesses, including those in the medical, media, telecom, auto, food, and beverage sectors, use AI extensively. Because SNN can make flexible and agile decisions while taking the situation's context into account as well as past experiences, it can effectively address the difficulties that these industries frequently face. Combining AI with ML can improve the efficiency of applications including fraud detection, credit scoring, speech recognition, self-driving cars, image classification, and language translation. The market is expanding as a result of an increase in demand for general-purpose cognitive and brain robots.
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