Fact has published a market research report on the Deep Learning Chipset Market. According to MR, deep learning chipset sales reached USD 4.7 billion worldwide in 2022. By the end of the forecast period, the market is expected to reach a valuation of USD 72.8 billion, growing at a CAGR of 27.9% from 2023 to 2033.
The market for deep learning chipsets in system-on-chip (SOC) production is expected to grow at a compound annual growth rate (CAGR) of over 27.5% from 2023 to 2033, potentially generating substantial revenue.
Key Factors:
In recent years, there has been an increasing demand for deep learning across various industries such as healthcare, automotive, consumer electronics, aerospace & defense, etc., which is playing a major role in the growing demand for deep learning chipsets. The surge in demand is due to the large amount of data that companies use to run deep learning and machine learning models to understand consumer behavior.
Deep learning chipsets are also increasingly being used in a range of consumer electronics devices, including AR/VR headsets, smart speakers, and smartphones, which leverage deep learning chips for AI processing.
With the increasing use of deep learning chips in home appliances, the market is predicted to expand due to the advent of quantum computing and the increased implementation of deep learning chips in robotics. Deep learning is increasingly being implemented in smart home appliances such as smart speakers, smart light bulbs, and smart thermostats. Deep learning allows devices to collect daily user data and use that data to provide consumers with the right products and features based on their needs.
Competitive Analysis:
Deep learning is a technology that develops advanced algorithms to improve the capabilities of chips.
Some recent trends in the market include:
- March 2022 – Google and the University of California, Berkeley announced they have discovered a way to use artificial intelligence to design faster, smaller chips, which Google hopes to use to make smaller, more efficient chips.
- May 2020 – Neuchips Inc. unveiled RecAccel, the world's first recommendation engine capable of executing 500,000 interactions per second.
- December 2019 – Intel has acquired HABANA Labs Ltd., an Israeli startup researching deep learning algorithms. The acquisition will strengthen Intel's AI capabilities.
- November 2019 – Intel has launched its Nervana neural network processor for deep learning, a chip that will allow Intel to strengthen its position in the deep learning chip market.
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