Deep Learning Chipset Market to 2023: Growth Analysis by Manufacturers, Regions, Types and Applications
ReportsWeb Adds “Global Deep Learning Chipset Market” offers an up-to-date analysis of the market with regards to the innovations, current competitive landscape and latest trends and drivers, to provide new predictions for the forecast period.
(EMAILWIRE.COM, September 06, 2018 ) 2018-2023 Global Deep Learning Chipset Market Report
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.
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Companies Profiled in this report includes: NVIDIA, Intel, IBMk, Qualcomm, CEVA, KnuEdge, AMD, Xilinx, ARM, Google, Graphcore, TeraDeep, Wave Computing, BrainChip
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.
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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.
Over the next five years, Publisher 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.
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.
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.
Table of Content:
2018-2023 Global Deep Learning Chipset Consumption Market Report
1 Scope of the Report
2 Executive Summary
3 Global Deep Learning Chipset by Players
4 Deep Learning Chipset by Regions
5 Americas
6 APAC
7 Europe
8 Middle East & Africa
9 Market Drivers, Challenges and Trends
10 Marketing, Distributors and Customer
11 Global Deep Learning Chipset Market Forecast
12 Key Players Analysis
12.1 NVIDIA
12.1.1 Company Details
12.1.2 Deep Learning Chipset Product Offered
12.1.3 NVIDIA Deep Learning Chipset Sales, Revenue, Price and Gross Margin (2016-2018)
12.1.4 Main Business Overview
12.1.5 NVIDIA News
12.2 Intel
12.2.1 Company Details
12.2.2 Deep Learning Chipset Product Offered
12.2.3 Intel Deep Learning Chipset Sales, Revenue, Price and Gross Margin (2016-2018)
12.2.4 Main Business Overview
12.2.5 Intel News
12.3 IBM
12.3.1 Company Details
12.3.2 Deep Learning Chipset Product Offered
12.3.3 IBM Deep Learning Chipset Sales, Revenue, Price and Gross Margin (2016-2018)
12.3.4 Main Business Overview
12.3.5 IBM News
12.4 Qualcomm
Complete Report: http://www.reportsweb.com/buy&RW00012180864/buy/4660
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Email: sales@reportsweb.com
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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.
Get sample copy of this report: http://www.reportsweb.com/inquiry&RW00012180864/sample
Companies Profiled in this report includes: NVIDIA, Intel, IBMk, Qualcomm, CEVA, KnuEdge, AMD, Xilinx, ARM, Google, Graphcore, TeraDeep, Wave Computing, BrainChip
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.
Get Discount of this report: http://www.reportsweb.com/inquiry&RW00012180864/discount
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.
Over the next five years, Publisher 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.
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.
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.
Table of Content:
2018-2023 Global Deep Learning Chipset Consumption Market Report
1 Scope of the Report
2 Executive Summary
3 Global Deep Learning Chipset by Players
4 Deep Learning Chipset by Regions
5 Americas
6 APAC
7 Europe
8 Middle East & Africa
9 Market Drivers, Challenges and Trends
10 Marketing, Distributors and Customer
11 Global Deep Learning Chipset Market Forecast
12 Key Players Analysis
12.1 NVIDIA
12.1.1 Company Details
12.1.2 Deep Learning Chipset Product Offered
12.1.3 NVIDIA Deep Learning Chipset Sales, Revenue, Price and Gross Margin (2016-2018)
12.1.4 Main Business Overview
12.1.5 NVIDIA News
12.2 Intel
12.2.1 Company Details
12.2.2 Deep Learning Chipset Product Offered
12.2.3 Intel Deep Learning Chipset Sales, Revenue, Price and Gross Margin (2016-2018)
12.2.4 Main Business Overview
12.2.5 Intel News
12.3 IBM
12.3.1 Company Details
12.3.2 Deep Learning Chipset Product Offered
12.3.3 IBM Deep Learning Chipset Sales, Revenue, Price and Gross Margin (2016-2018)
12.3.4 Main Business Overview
12.3.5 IBM News
12.4 Qualcomm
Complete Report: http://www.reportsweb.com/buy&RW00012180864/buy/4660
Contact Info:
Name: Sameer Joshi
Email: sales@reportsweb.com
Company Name: ReportsWeb
Website: Reportsweb.com
Phone: +1-646-491-9876
About ReportsWeb:
ReportsWeb.com 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. We provide best in class customer service and our customer support team is always available to help you on your research queries.
Contact Information:
ReportsWeb.com
Rajat Sahni
Tel: +1-646-491-9876
Email us
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ReportsWeb.com
Rajat Sahni
Tel: +1-646-491-9876
Email us
----
This press release is posted on EmailWire.com -- a global newswire that provides Press Release Distribution Services with Guaranteed Results