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Global Deep Learning Chipset Market Research Report with Opportunities and Strategies to Boost Growth- COVID-19 Impact and Recovery

Global Deep Learning Chipset Market Research Report with Opportunities and...

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Global Deep Learning Chipset Market Research Report with Opportunities and Strategies to Boost Growth- COVID-19 Impact and Recovery
Global Deep Learning Chipset Market...
Report Code
RO7/125/16830

Publish Date
12/Aug/2021

Pages
123
PRICE
$ 3500/-
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Machine Learning, especially Deep Learning technology is driving the evolution of artificial intelligence (AI). At the beginning, deep learning has primarily been a software play. Start from the year 2016, the need for more efficient hardware acceleration of AI/ML/DL was recognized in academia and industry. This year, we saw more and more players, including worlds top semiconductor companies as well as a number of startups, even tech giants Google, have jumped into the race.
Based on the Deep Learning Chipset market development status, competitive landscape and development model in different regions of the world, this report is dedicated to providing niche markets, potential risks and comprehensive competitive strategy analysis in different fields. From the competitive advantages of different types of products and services, the development opportunities and consumption characteristics and structure analysis of the downstream application fields are all analyzed in detail. To Boost Growth during the epidemic era, this report analyzes in detail for the potential risks and opportunities which can be focused on.

In Chapter 2.4 of the report, we share our perspectives for the impact of COVID-19 from the long and short term.
In chapter 3.4, we provide the influence of the crisis on the industry chain, especially for marketing channels.
In chapters 8-13, we update the timely industry economic revitalization plan of the country-wise government.

Key players in the global Deep Learning Chipset market covered in Chapter 5:
Google
Qualcomm
Graphcore
Intel
Xilinx
AMD
Wave Computing
IBM
BrainChip
NVIDIA
CEVA
TeraDeep
ARM
KnuEdge

In Chapter 6, on the basis of types, the Deep Learning Chipset market from 2015 to 2025 is primarily split into:
Graphics Processing Units (GPUs)
Central Processing Units (CPUs)
Application Specific Integrated Circuits (ASICs)
Field Programmable Gate Arrays (FPGAs)
Others

In Chapter 7, on the basis of applications, the Deep Learning Chipset market from 2015 to 2025 covers:
Consumer Electronics
Automotive
Industrial
Healthcare
Aerospace & Defense
Others

Geographically, the detailed analysis of consumption, revenue, market share and growth rate, historic and forecast (2015-2025) of the following regions are covered in Chapter 8-13:
North America (Covered in Chapter 9)
United States
Canada
Mexico
Europe (Covered in Chapter 10)
Germany
UK
France
Italy
Spain
Russia
Others
Asia-Pacific (Covered in Chapter 11)
China
Japan
South Korea
Australia
India
South America (Covered in Chapter 12)
Brazil
Argentina
Columbia
Middle East and Africa (Covered in Chapter 13)
UAE
Egypt
South Africa

Years considered for this report:
Historical Years: 2015-2019
Base Year: 2019
Estimated Year: 2020
Forecast Period: 2020-2025

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