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The global AI edge chipset revenue will grow from $7.7bn in 2019 to $51.9bn by 2025, according to a report by Omdia. While the mobile phones market segment is forecast to account for over 50 percent of the 2025 global AI edge chipset market

The need for artificial intelligence (AI) on edge devices has been realised and the race to design edge-optimised chipsets has begun. AI processing on the edge device circumvents privacy concerns while avoiding the bandwidth, latency, and cost concerns of cloud computingEdge inference has emerged as a key workload in 2019–20, and many companies have introduced chipset solutions to accelerate AI workloads.

Shipments of devices needing AI are increasing rapidly as the need for AI acceleration has been realised on the edge. New AI driven applications that demand higher compute are continuing to increase, thus fueling the need for innovation in chipset architectures.

“Different architectures provide different benefits for AI edge acceleration, and it’s becoming common to mix architectures to get the best of breed in AI edge processing. This trend will continue, with multiple architectures merging into AI edge chipsets. The integrated chipsets will become more widespread at the edge in comparison with the discrete chipsets,” according to Anand Joshi, Omdia principal analyst.

 

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