Researchmoz added Most up-to-date research on "Global Deep Learning Chipsets Market Emerging Trends, Future Forecast, Industry Insights, Business Model and Applications to 2025" to its huge collection of research reports.
Artificial intelligence (AI) technology is progressing at a rapid pace, as is the application of the technology to solve real-world problems. While the market for chipsets to address deep learning training and inference workloads is still a new one, the landscape is changing quickly - in the past year, more than 60 companies of all sizes have announced some sort of deep learning chipset or intellectual property (IP) design. Every prominent name in the technology industry has acknowledged the need for hardware acceleration of AI algorithms and the semiconductor industry has responded by offering a wide range of solutions.
The edge computing market, where AI computation is done on the device, is expected to represent more than three-quarters of the total market opportunity, with the balance being in cloud/data center environments. Mobile phones will be a major driver of the edge market, and other prominent edge categories include automotive, smart cameras, robots, and drones.
In 2018, the global Deep Learning Chipsets market size was xx million US$ and it is expected to reach xx million US$ by the end of 2025, with a CAGR of xx% during 2019-2025.
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This report focuses on the global Deep Learning Chipsets status, future forecast, growth opportunity, key market and key players. The study objectives are to present the Deep Learning Chipsets development in United States, Europe and China.
The key players covered in this study
Google
Intel
Xilinx
AMD
NVIDIA
ARM
Qualcomm
IBM
Graphcore
BrainChip
Mobileye
Wave Computing
CEVA
Movidius
Nervana Systems
Amazon
Cerebras Systems
Facebook
Make an Enquiry of this report @ https://www.researchmoz.us/enquiry.php?type=E&repid=2082158
Market segment by Type, the product can be split into
CPUs
GPUs
FPGAs
ASICs
SoC Accelerators
Others
Market segment by Application, split into
Automotive
Smart Cameras
Robots
Drones
Mobile Phones
Others
Market segment by Regions/Countries, this report covers
United States
Europe
China
Japan
Southeast Asia
India
Central & South America
The study objectives of this report are:
To analyze global Deep Learning Chipsets status, future forecast, growth opportunity, key market and key players.
To present the Deep Learning Chipsets development in United States, Europe and China.
To strategically profile the key players and comprehensively analyze their development plan and strategies.
To define, describe and forecast the market by product type, market and key regions.
In this study, the years considered to estimate the market size of Deep Learning Chipsets are as follows:
History Year: 2014-2018
Base Year: 2018
Estimated Year: 2019
Forecast Year 2019 to 2025
For the data information by region, company, type and application, 2018 is considered as the base year. Whenever data information was unavailable for the base year, the prior year has been considered.
Artificial intelligence (AI) technology is progressing at a rapid pace, as is the application of the technology to solve real-world problems. While the market for chipsets to address deep learning training and inference workloads is still a new one, the landscape is changing quickly - in the past year, more than 60 companies of all sizes have announced some sort of deep learning chipset or intellectual property (IP) design. Every prominent name in the technology industry has acknowledged the need for hardware acceleration of AI algorithms and the semiconductor industry has responded by offering a wide range of solutions.
The edge computing market, where AI computation is done on the device, is expected to represent more than three-quarters of the total market opportunity, with the balance being in cloud/data center environments. Mobile phones will be a major driver of the edge market, and other prominent edge categories include automotive, smart cameras, robots, and drones.
In 2018, the global Deep Learning Chipsets market size was xx million US$ and it is expected to reach xx million US$ by the end of 2025, with a CAGR of xx% during 2019-2025.
Get Free PDF For More Technical Insights @ https://www.researchmoz.us/enquiry.php?type=S&repid=2082158
This report focuses on the global Deep Learning Chipsets status, future forecast, growth opportunity, key market and key players. The study objectives are to present the Deep Learning Chipsets development in United States, Europe and China.
The key players covered in this study
Intel
Xilinx
AMD
NVIDIA
ARM
Qualcomm
IBM
Graphcore
BrainChip
Mobileye
Wave Computing
CEVA
Movidius
Nervana Systems
Amazon
Cerebras Systems
Make an Enquiry of this report @ https://www.researchmoz.us/enquiry.php?type=E&repid=2082158
Market segment by Type, the product can be split into
CPUs
GPUs
FPGAs
ASICs
SoC Accelerators
Others
Market segment by Application, split into
Automotive
Smart Cameras
Robots
Drones
Mobile Phones
Others
Market segment by Regions/Countries, this report covers
United States
Europe
China
Japan
Southeast Asia
India
Central & South America
The study objectives of this report are:
To analyze global Deep Learning Chipsets status, future forecast, growth opportunity, key market and key players.
To present the Deep Learning Chipsets development in United States, Europe and China.
To strategically profile the key players and comprehensively analyze their development plan and strategies.
To define, describe and forecast the market by product type, market and key regions.
In this study, the years considered to estimate the market size of Deep Learning Chipsets are as follows:
History Year: 2014-2018
Base Year: 2018
Estimated Year: 2019
Forecast Year 2019 to 2025
For the data information by region, company, type and application, 2018 is considered as the base year. Whenever data information was unavailable for the base year, the prior year has been considered.
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