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.

The Deep Learning Chipset Industry sales study offers a comprehensive analysis on diverse features including production capacities, Deep Learning Chipset demand, product developments, sales revenue generation and Deep Learning Chipset market outlook across the globe.


market research report by Fact.MR, (Leading business and competitive intelligence provider) on global Deep Learning Chipset market sales initiates with an outlook of the market, followed by the scrutiny of the demand and consumption volumes and share and size of various end-use segments

๐ƒ๐จ๐ฐ๐ง๐ฅ๐จ๐š๐ ๐’๐š๐ฆ๐ฉ๐ฅ๐ž ๐‚๐จ๐ฉ๐ฒ ๐จ๐Ÿ ๐“๐ก๐ข๐ฌ ๐‘๐ž๐ฉ๐จ๐ซ๐ญ:
https://www.factmr.com/connectus/sample?flag=S&rep_id=8736

The readability score of the Deep Learning Chipset market demand report is good as it offers chapter-wise layout with each section divided into a smaller sections.

The report encompasses graphs and tables to show the entire assembling. Pictorial demonstration of the definite and estimated values of key segments is visually appealing to readers.

This Deep Learning Chipset market outlook report explicates on vital dynamics such as the drivers, restraints and opportunities for key players and competitive analysis of Deep Learning Chipset along with key stakeholders as well as emerging players associated with the manufacturing of product.

The Key trends Analysis of Extended Deep Learning Chipset market also provides dynamics that are responsible for influencing the future sales and demand of over the forecast period.

๐Š๐ž๐ฒ ๐‚๐จ๐ฆ๐ฉ๐š๐ง๐ข๐ž๐ฌ ๐๐ซ๐จ๐Ÿ๐ข๐ฅ๐ž๐

• Alphabet Inc.
• Amazon.Com, Inc.
• Advanced Micro Devices
• Baidu, Inc.
• Bitmain Technologies Ltd.
• Intel Corporation
• Nvidia Corporation
• Qualcomm Incorporated
• Samsung Electronics Co. Ltd.
• Xilinx, Inc.

๐‚๐จ๐ฆ๐ฉ๐ž๐ญ๐ข๐ญ๐ข๐ฏ๐ž ๐‹๐š๐ง๐๐ฌ๐œ๐š๐ฉ๐ž

๐€ ๐Ÿ๐ž๐ฐ ๐จ๐Ÿ ๐ญ๐ก๐ž ๐ซ๐ž๐œ๐ž๐ง๐ญ ๐๐ž๐ฏ๐ž๐ฅ๐จ๐ฉ๐ฆ๐ž๐ง๐ญ๐ฌ ๐ข๐ง ๐ญ๐ก๐ž ๐ฆ๐š๐ซ๐ค๐ž๐ญ ๐š๐ซ :

• 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.

๐’๐ž๐ ๐ฆ๐ž๐ง๐ญ๐š๐ญ๐ข๐จ๐ง ๐จ๐Ÿ ๐ญ๐ก๐ž ๐†๐ฅ๐จ๐›๐š๐ฅ ๐ƒ๐ž๐ž๐ฉ ๐‹๐ž๐š๐ซ๐ง๐ข๐ง๐  ๐‚๐ก๐ข๐ฉ๐ฌ๐ž๐ญ ๐Œ๐š๐ซ๐ค๐ž๐ญ:

• By Type :
o Central Processing Units - CPUs
o Graphics Processing Units - GPUs
o Field Programmable Gate Arrays - FPGAs
o Application-Specific Integrated Circuits - ASICs
o Others (NPU & Hybrid Chip)

• By Technology :
o System-on-chip - SOC
o System-in-package - SIP
o Multi-Chip Module

• By Region :
o North America
o Latin America
o Europe
o Asia Pacific
o Middle East and Africa

๐†๐ž๐ญ ๐…๐ฎ๐ฅ๐ฅ ๐€๐œ๐œ๐ž๐ฌ๐ฌ ๐จ๐Ÿ ๐ญ๐ก๐ž ๐‚๐จ๐ฆ๐ฉ๐ฅ๐ž๐ญ๐ž ๐‘๐ž๐ฉ๐จ๐ซ๐ญ:
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