Industrial, Manufacturing & Heavy Industry Market News

Deep Learning Chip Market is Growing at a High CAGR by 2025 according to a New Research Report

Deep Learning Chip Market

The report on “Deep Learning Chip Market” will help Major Players and the new entrants to understand scrutinize the market in detail. This information will encourage the Major Players to decide their business strategy and achieve proposed business aims.

- Advertising -

Premium Market Insights has Published New Report on – “Deep Learning Chip Market – Global Industry Analysis, Size, Overview, Trends, Growth and Forecast by 2025.”

Deep learning is a new nomenclature for the artificial neural networks technology. This technology is a computer program, which is similar to a biological brain.

The brain is made up of billions of cells known as neurons, which are connected with the help of pathways called synapses. New observations and experiences alter the strength of these synaptic connections.

- Advertising -

With these new collections of observations and experience, the strength of the connections results in the learning. Deep learning transforms these structures into a software with digital versions of neurons, synapses, and connection strengths.

By feeding the experience and observations to an artificial neural network and adjusting the weights accordingly, a neural network learns complex functions similar to the biological brain.

Get PDF sample copy: bit.ly/2ZoTI00

Companies Covered in this Report are:

AMD (Advanced Micro Devices)
Google, Inc.
Intel Corporation
NVIDIA
Baidu
Bitmain Technologies
Qualcomm
Amazon
Xilinx
Samsung

The global deep learning chip market has witnessed significant growth over the years, owing to increase in efforts to make more human-like robots and rise in rate of deployments in the developing regions.

The global deep learning chip market is segmented based on chip type, industry vertical, technology, and geography. On the basis of chip type, the market is categorized into graphics processing unit (GPU), application-specific integrated circuit (ASIC), field-programmable gate array (FPGA), central processing unit (CPU), and others.

System-on-chip, system-in-package, multi-chip module, and others are the technologies considered. The various industry verticals are media & advertising, BFSI, IT & telecom, retail, healthcare, automotive & transportation, and others.

Geographically, the market is sub-segmented into North America, Europe, Asia-Pacific, and LAMEA.
The key players profiled in the report include AMD (Advanced Micro Devices), Google, Inc., Intel Corporation, NVIDIA, Baidu, Bitmain Technologies, Qualcomm, Amazon, Xilinx, Samsung.

KEY BENEFITS FOR STAKEHOLDERS

This study comprises an analytical depiction of the global deep learning chip market with current trends and future estimations to depict the imminent investment pockets.
The overall market potential is determined to understand the profitable trends to gain a stronger coverage in the market.
The report presents information related to key drivers, restraints, and opportunities with a detailed impact analysis.
The current market is quantitatively analyzed from 2017 to 2025 to highlight the financial competency of the market.
Porter's Five Forces analysis illustrates the potency of the buyers and suppliers.

To Access This report details at: bit.ly/2ZvxFox

KEY MARKET SEGMENTS

BY CHIP TYPE

GPU
ASIC
FPGA
CPU
Others

BY TECHNOLOGY

System-on-chip (SoC)
System-in-package (SIP)
Multi-chip module
Others

BY INDUSTRY VERTICAL

Media & advertising
BFSI
IT & telecom
Retail
Healthcare
Automotive & transportation
Others

BY REGION

North America
U.S.
Canada
Mexico
Europe
UK
Germany
France
Russia
Rest of Europe
Asia-Pacific
China
Japan
India
Australia
Rest of Asia-Pacific
LAMEA
Latin America
Middle East
Africa

News From

Premium Market InsightsPremium Market Insights
Category: Market Research Publishers and RetailersCompany about: Premium Market Insights is a one stop shop of market research reports and solutions to various companies across the globe. We help our clients in their decision support system by helping them choose most relevant and cost effective research reports and solutions from various publishers.
This email address is being protected from spambots. You need JavaScript enabled to view it.