Global Deep Learning Chipset Market Research Report 2021

Deep learning technology is driving the evolution of artificial intelligence (AI) and has become one of the hottest topics of discussion within the technology world and beyond. Given the rate at which deep learning is progressing, some industry observers are predicting it will bring about a doomsday scenario, while others strive for a time when the technology can transform business processes and create new business models through scalable, more efficient automation and predictive capabilities. The current market climate is ripe for innovation in hardware in general, and chipsets more specifically.In the industry, NVIDIA profits most in 2016 and recent years, while Intel and IBM ranked 2 and 3.The market share of them is 26.72%, 20.57% and 12.56% in 2016.The gap of market share is keep on enlarged due to different strategy.
United States has the largest global export quantity and manufacturers in Deep Learning Chipset market, while the EU is the second sales volume market for Deep Learning Chipset in 2016.

Market Analysis and Insights: Global Deep Learning Chipset Market
The global Deep Learning Chipset market was valued at US$ 1681.1 million in 2019 and it is expected to reach US$ 15640 million by the end of 2026, growing at a CAGR of 37.1% during 2021-2026.

Global Deep Learning Chipset Market: Drivers and Restrains
The research report has incorporated the analysis of different factors that augment the market’s growth. It constitutes trends, restraints, and drivers that transform the market in either a positive or negative manner. This section also provides the scope of different segments and applications that can potentially influence the market in the future. The detailed information is based on current trends and historic milestones. This section also provides an analysis of the volume of production about the global market and about each type from 2016 to 2027. This section mentions the volume of production by region from 2016 to 2027. Pricing analysis is included in the report according to each type from the year 2016 to 2027, manufacturer from 2016 to 2021, region from 2016 to 2021, and global price from 2016 to 2027.
A thorough evaluation of the restrains included in the report portrays the contrast to drivers and gives room for strategic planning. Factors that overshadow the market growth are pivotal as they can be understood to devise different bends for getting hold of the lucrative opportunities that are present in the ever-growing market. Additionally, insights into market expert’s opinions have been taken to understand the market better.

Global Deep Learning Chipset Market: Segment Analysis
The research report includes specific segments by region (country), by manufacturers, by Type and by Application. Each type provides information about the production during the forecast period of 2016 to 2027. by Application segment also provides consumption during the forecast period of 2016 to 2027. Understanding the segments helps in identifying the importance of different factors that aid the market growth.

Segment by Type
Graphics Processing Units (GPUs)
Central Processing Units (CPUs)
Application Specific Integrated Circuits (ASICs)
Field Programmable Gate Arrays (FPGAs)
Others

Segment by Application
Consumer
Aerospace, Military & Defense
Automotive
Industrial
Medical
Others

By Company
NVIDIA
Intel
IBM
Qualcomm
CEVA
KnuEdge
AMD
Xilinx
ARM
Google
Graphcore
TeraDeep
Wave Computing
BrainChip

Production by Region
North America
Europe
China
South Korea

Consumption by Region
North America
U.S.
Canada
Europe
Germany
France
U.K.
Italy
Russia
Asia-Pacific
China
Japan
South Korea
India
Australia
Taiwan
Indonesia
Thailand
Malaysia
Philippines
Vietnam
Latin America
Mexico
Brazil
Argentina
Middle East & Africa
Turkey
Saudi Arabia
U.A.E