Embedded AI Market size is anticipated to reach USD 57 billion by the end of 2036, growing at a CAGR of 8% during the forecast period, i.e., 2024-2036. In the year 2023, the industry size of embedded AI was over USD 41 billion. The primary reason behind this huge expansion of the embedded AI industry globally is the increasing integration of IoT, as it increases the intelligence and capabilities of IoT devices.
These devices can process and analyze data locally, allowing them to make decisions without relying on centralized cloud servers or a continuous internet connection. In smart homes, for example, IoT devices with AI capabilities, like thermostats, can expertly learn human preferences, optimize energy use, and fine-tune settings for enhanced comfort. A recent estimate based on an analysis of 41 million homes and 1.8 billion connected devices stated that the average American home currently has 21 linked gadgets. The average number of smart devices in a Japanese home is only 10, compared to 17 in Europe.
In addition, the recent concentration on data privacy and security across the world will drive the advancement of embedded AI by the end of the projected timeline. The gathering, utilizing, and disclosing of personal data to outside parties without the knowledge or approval of customers is equally concerning.
Out of 194 countries, 137 had legislation in place to ensure data security and privacy. With 61 and 57% of their countries having implemented such laws, Africa and Asia exhibit varying adoption rates. Just 48% of the share is found in the least developed nations. Embedded AI solves these problems by allowing encryption and on-device data processing.
Author Credits: Abhishek Verma
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