Deep Learning Chipset Market reach US$ 6310 million by 2023, from US$ 870 million in 2017
Over the next five years, according projects that Deep Learning Chipset will register a 39.1% CAGR in terms of revenue, reach US$ 6310 million by 2023, from US$ 870 million in 2017.
(EMAILWIRE.COM, August 04, 2018 ) Deep Learning Chipset technology is not mature now, and new enterprises can not surpass existing famous brands on reputation or design in the short term. So, the study group recommends the new entrants need to be considered carefully before enter into this field.
Get Sample Copy Of this Report @ https://www.researchbeam.com/2018-2023-global-deep-learning-chipset-consumption-report-market/request-sample
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.
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.
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.
This report presents a comprehensive overview, market shares, and growth opportunities of Deep Learning Chipset market by product type, application, key manufacturers and key regions.
To calculate the market size, LP Information considers value and volume generated from the sales of the following segments:
Segmentation by product type:
• Graphics Processing Units (GPUs)
• Central Processing Units (CPUs)
• Application Specific Integrated Circuits (ASICs)
• Field Programmable Gate Arrays (FPGAs)
• Others
Segmentation by application:
• Consumer
• Aerospace, Military & Defense
• Automotive
• Industrial
• Medical
• Others
Get a discount on this research report: https://www.researchbeam.com/2018-2023-global-deep-learning-chipset-consumption-report-market/purchase-enquiry
The report also presents the market competition landscape and a corresponding detailed analysis of the major vendor/manufacturers in the market. The key manufacturers covered in this report:
• NVIDIA
• Intel
• IBM
• Qualcomm
• CEVA
• KnuEdge
• AMD
• Xilinx
• ARM
• Google
• Graphcore
• TeraDeep
• Wave Computing
• BrainChip
In addition, this report discusses the key drivers influencing market growth, opportunities, the challenges and the risks faced by key manufacturers and the market as a whole. It also analyzes key emerging trends and their impact on present and future development.
Research objectives
• To study and analyze the global Deep Learning Chipset consumption (value & volume) by key regions/countries, product type and application, history data from 2013 to 2017, and forecast to 2023.
• To understand the structure of Deep Learning Chipset market by identifying its various subsegments.
• Focuses on the key global Deep Learning Chipset manufacturers, to define, describe and analyze the sales volume, value, market share, market competition landscape, SWOT analysis and development plans in next few years.
• To analyze the Deep Learning Chipset with respect to individual growth trends, future prospects, and their contribution to the total market.
• To share detailed information about the key factors influencing the growth of the market (growth potential, opportunities, drivers, industry-specific challenges and risks).
• To project the consumption of Deep Learning Chipset submarkets, with respect to key regions (along with their respective key countries).
• To analyze competitive developments such as expansions, agreements, new product launches, and acquisitions in the market.
• To strategically profile the key players and comprehensively analyze their growth strategies.
Read More: https://www.researchbeam.com/2018-2023-global-deep-learning-chipset-consumption-report-market
About Us:
Research Beam is a high end and wide online market for market research reports that contain detailed and rational market research. Research Beam is a one stop report destination that offers clients well drafted and accurately analyzed report with insightful data.
We have a large database of quality and precise market research reports that will be very beneficial for your organization. Reports that we sell our authentic in nature and from reputed publishers, hence it can definitely help you with your growth opportunities. Research Beam will always make sure to bring most ethical and high quality reports. We value your relationship with us and look forward for a long term relation.
Contact Us
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help@researchbeam.com
Get Sample Copy Of this Report @ https://www.researchbeam.com/2018-2023-global-deep-learning-chipset-consumption-report-market/request-sample
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.
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.
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.
This report presents a comprehensive overview, market shares, and growth opportunities of Deep Learning Chipset market by product type, application, key manufacturers and key regions.
To calculate the market size, LP Information considers value and volume generated from the sales of the following segments:
Segmentation by product type:
• Graphics Processing Units (GPUs)
• Central Processing Units (CPUs)
• Application Specific Integrated Circuits (ASICs)
• Field Programmable Gate Arrays (FPGAs)
• Others
Segmentation by application:
• Consumer
• Aerospace, Military & Defense
• Automotive
• Industrial
• Medical
• Others
Get a discount on this research report: https://www.researchbeam.com/2018-2023-global-deep-learning-chipset-consumption-report-market/purchase-enquiry
The report also presents the market competition landscape and a corresponding detailed analysis of the major vendor/manufacturers in the market. The key manufacturers covered in this report:
• NVIDIA
• Intel
• IBM
• Qualcomm
• CEVA
• KnuEdge
• AMD
• Xilinx
• ARM
• Graphcore
• TeraDeep
• Wave Computing
• BrainChip
In addition, this report discusses the key drivers influencing market growth, opportunities, the challenges and the risks faced by key manufacturers and the market as a whole. It also analyzes key emerging trends and their impact on present and future development.
Research objectives
• To study and analyze the global Deep Learning Chipset consumption (value & volume) by key regions/countries, product type and application, history data from 2013 to 2017, and forecast to 2023.
• To understand the structure of Deep Learning Chipset market by identifying its various subsegments.
• Focuses on the key global Deep Learning Chipset manufacturers, to define, describe and analyze the sales volume, value, market share, market competition landscape, SWOT analysis and development plans in next few years.
• To analyze the Deep Learning Chipset with respect to individual growth trends, future prospects, and their contribution to the total market.
• To share detailed information about the key factors influencing the growth of the market (growth potential, opportunities, drivers, industry-specific challenges and risks).
• To project the consumption of Deep Learning Chipset submarkets, with respect to key regions (along with their respective key countries).
• To analyze competitive developments such as expansions, agreements, new product launches, and acquisitions in the market.
• To strategically profile the key players and comprehensively analyze their growth strategies.
Read More: https://www.researchbeam.com/2018-2023-global-deep-learning-chipset-consumption-report-market
About Us:
Research Beam is a high end and wide online market for market research reports that contain detailed and rational market research. Research Beam is a one stop report destination that offers clients well drafted and accurately analyzed report with insightful data.
We have a large database of quality and precise market research reports that will be very beneficial for your organization. Reports that we sell our authentic in nature and from reputed publishers, hence it can definitely help you with your growth opportunities. Research Beam will always make sure to bring most ethical and high quality reports. We value your relationship with us and look forward for a long term relation.
Contact Us
Global Head Quarters
5933 NE Win Sivers Drive,
#205, Portland, OR 97220
United States
+1 (800) 910-6452
help@researchbeam.com
Contact Information:
Research Beam
Research Beam
Tel: +1 (800) 910-6452
Email us
----
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Research Beam
Research Beam
Tel: +1 (800) 910-6452
Email us
----
This press release is posted on EmailWire.com -- a global newswire that provides Press Release Distribution Services with Guaranteed Results