Embedded AI computing platforms is a combination of embedded artificial intelligence software embedded with applications that are designed and developed to perform explicit dedicated functions in an electronic machine or device.  The embedded AI computing supports to automate the business process and tasks to provide business and users with actionable results via advanced analytics, it also supports business in decision making process and improve overall customer experience.

Microprocessors (MPUs), microcontrollers (MCUs), or other custom designed integrated chips along with supporting software in Read Only Memory are essential for working of embedded computing systems. These systems have diverse features such as low power consumption, accuracy, high speed, reusability, adaptability, size, and reliability.

Some of the other component elements in an Embedded AI computing platforms also include input/output devices, interfaces memory, display and others. In general, it includes power supply, storage, system application circuits, timers, and serial communication parts.

Embedded AI computing Platforms are extensively used in a variety of applications including office automation, home applications, security, automobile, banking and financial institutes, healthcare, defense, personal and other sectors. 

The market for Embedded AI computing platforms is driven by rising adoption of consumer electronics along with increasing adoption of artificial intelligence. Other factors that are impacting the global Embedded AI computing platforms market include rising digitization in industrial automation, healthcare and increasing demand in defense, automobile and other sectors. 

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