The artificial intelligence chipset market is anticipated to grow at 30.8% CAGR during the forecast period. The market is driven by the advancement in technology in computing technologies and the growing trend of automation. AI chipsets are silicon-based chips that support the technology of AI such as natural language processing, deep learning, neural network processing, and machine learning. The chipsets are made in such a way that they consume less power and provide large computing capabilities to smart devices such as laptops, smart wearables, and smartphones. The chipset accelerates the operational performance of the devices with improved analytical function.
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Other factors include the growing demand for high-speed computing processes and rising demand for enhancing consumer experience and decreasing operational costs that fuel the growth of the artificial intelligence chipsets market over the forecast period. However, the lack of a skilled workforce and the absence of standards and protocols are hampering the growth of the artificial intelligence chipsets market during the forecast periods.
The AI chips offer high-performance capabilities and power efficiency that fuel their adoption in multiple industry verticals such as robotics, automobile, and consumer electronics. Artificial technologies offer an effective way to expand business processes through extracting insights from large and complex data sets through using algorithms to extract valuable data to improve customer servicing experience and decreasing operational costs. The AI is making its way into the area of consumer electronics. It is enhancing its application from smartphones to the industry of automobiles. This improvement results in various opportunities for semiconductor industries. The need for processing the growing volume of data is the factor that propels the growth of the artificial intelligence chipsets market during the forecast period.
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Global Artificial Intelligence Chipsets Market Segmentation
By Technology
· Machine Learning
· Natural language Processing
· Context Aware Computing
· Computer Vision
By End-User
· Consumer Electronics
· Retail
· IT & Telecom
· Healthcare
· Automotive
· Agriculture
· Other
(This release has been published on OMR Industry Journal. OMR Industry Journal is not responsible for any content included in this release.)
