Rockville , July 25, 2023 (GLOBE NEWSWIRE) -- The global deep learning chipset market revenues were estimated at US$ 4.7 billion in 2022 and are anticipated to grow at a CAGR of 27.9% from 2023 to 2033, according to a recently published Fact.MR report. By the end of 2033, the market is expected to reach a valuation of US$ 72.8 billion, and the deep learning chipset used for GPU to dominate the market with a projected CAGR of 27.7% from 2023 to 2033.
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The expansion of demand for the deep learning chipset in recent years has been significantly influenced by the development in demand for deep learning across a number of industries, including healthcare, cars, consumer electronics, and aerospace & military. The huge volumes of data that businesses employ to run deep learning and machine learning models to comprehend consumer behavior are what's behind the spike in demand.
North America's market was valued US$ 19 billion in 2022, and by 2033, it is expected to be worth US$ 30 billion. Between 2018 and 2022, the historical CAGR is 38%. Up to 2033, a CAGR of 41.3% is predicted.
Rise In Demand for Smart Appliances Such As Smart Speakers and Smart Bulbs Expands The Market For Deep Learning Chipsets
Deep learning technology has a wide variety of applications such as in consumer electronics, aerospace & Defense, and in healthcare. The deep learning chipsets are also being used in AR/ VR headsets, smartphones, and smart speakers that use the deep learning chips for their AI processing. Due to the emergence of quantum computing and enhancement in the implementation of deep learning chips in robotics, the demand for deep learning chips is projected to expand during the assessment period.
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.,
- Xilinx, Inc.
Competitive Analysis:
The players in the market are currently investing heavily in the development of technologies to develop advanced algorithms for better functioning of their deep learning chips.
A few of the recent developments in the Deep Learning Chipset Market are:
- In August 2019 - Huawei Announced the launch of two new AI chips that are capable of delivering up to 512 teraflops of data and consuming less power.
- In May 2019 – Hailo introduced Hailo 8 chips, the first of its deep learning processors for deep learning applications in devices such as drones, smartphones, smart cameras, and augmented reality platforms.
- In November 2018 - Amazon Web Services announced Amazon Elastic Interference which allowed users to add elastic GPU support which will reduce the deep learning cost by up to 75%.
- In November 2018 – AMD launched the world’s first 7 nm High-performance GPU for machine learning and AI.
Segmentation of the Global Deep Learning Chipset Market Report
- By Type:
- Central Processing Units - CPUs
- Graphics Processing Units - GPUs
- Field Programmable Gate Arrays - FPGAs
- Application-Specific Integrated Circuits - ASICs
- Others (NPU & Hybrid Chip)
- By Technology:
- System-on-chip - SOC
- System-in-package - SIP
- Multi-Chip Module
- By Region:
- North America
- Latin America
- Europe
- Asia Pacific
- Middle East and Africa
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More Insights Available
Fact.MR, in its new offering, presents an unbiased analysis of the Deep learning chipset market, presenting historical market data (2018 to 2022) and forecast statistics for the period from 2023 to 2033.
The study reveals extensive growth in the Deep learning chipset market in terms of Type (Central processing unit, Graphics Processing Unit, Field programming gate arrays, and application-specific integrated circuits) By Technology (System on Chip, System in Package, Multichip Module), and in terms of Region (North America, Europe, Asia Pacific, Middle East, and Africa, Latin America) - 2023 to 2033.
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