Deep Learning Chipset Market
Deep Learning Chipset Market Analysis by Central Processing Units, Graphics Processing Units, Field Programming Gate Arrays, and Application-specific Integrated Circuits from 2023 to 2033
Analysis of Deep Learning Chipset Market Covering 30+ Countries Including Analysis of US, Canada, UK, Germany, France, Nordics, GCC countries, Japan, Korea and many more
Deep Learning Chipset Market Outlook (2023 to 2033)
Newly-released deep learning chipset market analysis report by Fact.MR reveals that global sales of deep learning chipset in 2022 were held at US$ 4.7 Billion. With a 27.9% projected CAGR from 2023 to 2033, the market is expected to reach a valuation of US$ 72.8 billion by the end of the forecast period.
Deep learning chipset demand in manufacturing System on Chip (SOC) is expected to generate significant revenue and is projected to grow at a CAGR of over 27.5% from 2023 to 2033.
| Attributes | Details |
|---|---|
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Deep Learning Chipset Market (2023) |
US$ 6.2 Billion |
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Deep Learning Chipset Market (2033) |
US$ 72.8 Billion |
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Deep Learning Chipset Market CAGR (2018-2022) |
34.1% |
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U.S Deep Learning Chipset Market CAGR (2023 – 2033) |
26.5% |
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Key Companies Covered |
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Revenue of Deep Learning Chipset Market from 2022 Compared to Demand Outlook for 2023 to 2033.
As per the Deep Learning Chipset Market Research by Fact.MR - a market research and competitive intelligence provider, historically, from 2018 to 2022, the market value increased by around 34.1% CAGR. With an absolute dollar opportunity of US$ 66.6 Billion during the forecast period, the market is projected to reach US$ 72.8 Billion valuation by 2033.
What Key Factors are Influencing the Industry’s Expansion?
The rise in the demand for deep learning in various industries such as healthcare, automobiles, consumer electronics, and aerospace & defense has played a significant role in the expansion of demand for the deep learning chipset in recent years. The surge in demand is due to the high volumes of data that are used by corporations to run deep learning and machine learning models to understand consumer behavior.
Deep learning chipsets are also increasingly being used in a wide variety of consumer electronics such as AR/VR headsets, smart speakers, and smartphones that utilize deep learning chips for their AI processing.
Along with the increase in the use of deep learning chips in consumer electronics, the emergence of quantum computing and the enhancement in the implementation of deep learning chips in robotics is projected to expand the market. Deep learning has been increasingly being implemented in smart home appliances such as smart speakers, smart bulbs, and smart thermostats, as deep learning can be used to collect user’s daily data from the devices, and then through using their data, consumers can be provided with appropriate products and functions according to their needs.
Smart homes are homes that consist of 2 or more smart appliances such as smart thermostats and smart bulbs. The number of smart homes in the world in 2021 was 258 million and the number of smart homes is projected to expand to around 478 million by 2025. Due to the rise in the consumer demand for smart home appliances, the demand for deep learning chips has expanded, therefore the market for deep learning chips is projected to expand during the assessment period.
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Which Region is Projected to account for Significant Revenue in the Market?
North America had a market size of US$ 19 billion in 2022 and is projected to account for a market worth US$ 30 Billion by 2033. The historical CAGR between 2018 and 2022 is 38%. The forecasted CAGR till 2033 is expected to be 41.3%.
The predominant factor driving the growth of the market in North America is the rise in the implementation of deep learning in cloud computing across several industries. Along with cloud computing, there is also a rise in the popularity of smart home appliances in the region that make use of the deep learning chip.
The number of smart homes in the region is projected to reach around 112 million by the year 2022. This rise in the popularity of deep learning in smart home appliances is expected to expand the market for deep learning chips in the region during the assessment period.
Country- Wise analysis
United States Deep Learning Chipset Markets Market Analysis :
The market in the United States is expected to grow to be worth US$ 23.5 Billion by 2033 with an absolute dollar growth of US$ 21.2 Billion. The market in the United States has grown at a CAGR of 32.2% from 2018 to 2022 and is expected to grow at a CAGR of 26.5% from 2023 to 2033.
The market in the United States is projected to expand owing to an increase in investment in AI by various companies in the country. Deep learning chips that are predominantly used in smart home appliances to witness significant growth during the assessment period.
According to a survey conducted, around 40 million households in the United States owned smart home appliances such as smart speakers and smart bulbs in 2019. It is projected that by 2025 about 64 million households will be using smart home devices. This rise in the popularity of smart home devices in the country is projected to expand the market of deep learning chipset in the country during the assessment period.
U.K. Deep Learning Chipset Market Analysis :
The market in the U.K. is expected to grow to be worth US$ 3.7 Billion by 2033 with an absolute dollar growth of US$ 3.3 billion. The market in the U.K. has grown at a CAGR of 32.6% from 2018 to 2022 and is expected to grow at a CAGR of 26.9%.
The United Kingdom has a significant market for smart home appliances. There were around 2.2 million households with smart home appliances installed in 2018. It is projected the number of households with smart home appliances will reach around 29 million households by 2027. This rise in the number of people buying smart home appliances will expand the market during the assessment period.
China Deep Learning Chipset Markets Market Analysis :
The market in China is expected to grow to be worth US$ 6.1 Billion by 2033, with an absolute dollar growth of US$ 5.6 Billion till 2033. The market in China has grown at a CAGR of 36% from 2018 to 2022 and is expected to grow at a CAGR of 29% from 2023 to 2033.
There were around 78 million homes with smart appliances in China in 2021. The number of homes with smart home appliances is projected to rise to about 169 million households by 2027. This rise in demand is due to the rise in the popularity of smart home devices and a rise in the disposable income of the population. Due to the rise in demand for smart home devices in China, the market for deep learning chip is projected to expand during the assessment period.
Japan Deep Learning Chipset Markets Market Analysis :
The market in Japan is expected to grow to be worth US$ 5.2 Billion by 2033, with an absolute dollar growth of US$ 4.7 billion by 2033. The market in Japan has grown at a CAGR of 33.1% from 2018 to 2022 and is expected to grow at a CAGR of 27.2% from 2023 to 2033.
The number of households with smart appliances is projected to reach 40 million with around 70% of households installing smart home appliances in Japan. This rise in the demand for smart home appliances in the country will increase the demand for deep-learning chipsets used in the appliances. Therefore, the market for smart home appliances is projected to expand during the assessment period.
South Korea Deep Learning Chipset Markets Market Analysis :
The market in South Korea is expected to grow to be worth US$ 2.9 Billion by 2033, with an absolute dollar growth of US$ 2.6 Billion till 2033. The market in South Korea has grown at a CAGR of 35% from 2018 to 2022 and are expected to grow at a CAGR of 28.3% from 2023 to 2033.
The number of households with smart appliances is projected to reach around 22 million users in South Korea by 2027. The rise in demand is due to the growing inclination towards smart homes by the younger population in the country. This rise in demand for smart home appliances will increase the demand for deep learning chips in South Korea owing to which the market for deep learning chips in South Korea is projected to expand during the assessment period.
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Category-wise Insights
Which Type of the Deep Learning Chipset is projected to Witness Significant Growth?
The Deep Learning Chipset used in Graphics Processing Units is projected to witness significant growth as it has grown at a CAGR of 33.6% from 2018 to 2022 and is expected to grow at a CAGR of 27.7% from 2023 to 2033.
The graphics processing unit (GPU) is a logic chip that is used for rendering images, animation, and videos and is also used for general computing purposes as well. The recent advancements and emergence of applications such as AR/VR, high-performance computing, AI, ML, Blockchain, and Cryptocurrency mining are expanding the demand for GPU across the world.
GPUs are also used in high-end personal computers and gaming consoles and the rise in the popularity of the gaming industry and increasing demand for personal computers across the world is also projected to expand the demand for GPUs globally.
Which Technology of Deep Learning Chipset is Expected to be Most Lucrative?
Deep learning chipset used to manufacture system on chip is projected to witness prominent growth as it has grown at a CAGR of 33.1% from 2018 to 2022 and is expected to grow at a CAGR of 27.5 % from 2023 to 2033.
The System on Chip (SOC) is an integrated circuit that usually takes a single platform and integrates an entire computer system onto it. The factors affecting the expansion in the demand for systems on chips include the surge in the demand for smart and power-efficient electronic devices and rise in the adoption of IoT globally.
Competitive Analysis :
technologies to develop advanced algorithms for better functioning of their deep learning chips.
The key players in the market include Alphabet Inc., Amazon.Com, Inc., Advanced Micro Devices, Inc., Baidu, Inc., Bitmain Technologies Ltd., Intel Corporation, Nvidia Corporation, Qualcomm Incorporated, Samsung Electronics Co. Ltd., and Xilinx, Inc
A few of the recent developments in the market are :
- In March 2022 - Google and UC Berkley announced that they have found a way to use artificial intelligence to design faster and smaller chips. Using this, google aims to produce smaller and more efficient chips.
- In May 2020 - Neuchips Corporation, announced the world’s first recommendation engine RecAccel which can perform 500,000 interfaces per second.
- In December 2019 - Intel Corporation acquired HABANA labs ltd., an Israeli start-up that is working on deep learning algorithms. This acquisition will strengthen the AI capability of Intel Corporation.
- In November 2019 - Intel Corporation launched Nervana Neural Network processors for deep learning. This chip will enable intel to strengthen itself in the deep-learning chip market.
Segmentation of the Global Deep Learning Chipset Market :
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By Type :
- Central Processing Units - CPUs
- Graphics Processing Units - GPUs
- Field Programmable Gate Arrays - FPGAs
- Application-Specific Integrated Circuits - ASICs
- Others (NPU & Hybrid Chip)
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By Technology :
- System-on-chip - SOC
- System-in-package - SIP
- Multi-Chip Module
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By Region :
- North America
- Latin America
- Europe
- Asia Pacific
- Middle East and Africa
- FAQs -
What was the global Market size for 2022?
The global market was worth US$ 4.7 Billion in 2022.
What value is the Market estimated to reach in 2023?
The global market is projected to reach a valuation of US$ 6.2 Billion in 2023.
What valuation is the Market expected to reach by 2033?
The market valuation will reach US$ 72.8 Billion by 2033.
What value CAGR did the market exhibit over the last four years?
The market grew at a CAGR of over 34.1% in past four years.
What is the projected CAGR for Deep Learning Chipset Market from 2023 to 2033?
The market is projected to grow at a CAGR of 27.9% during the forecast period.
Which type of deep learning chip will garner significant value share by 2023?
Deep learning chipset used in graphics processing Unit will garner a significant value share by 2023.
Deep Learning Chipset Market
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