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Global Deep Learning System Market Insights, Forecast 2018-2025: By Product, Application, Manufacturer, Sales and Segmentation - Global QYResearch
The new research from Global QYResearch on Global Deep Learning System Market Report for 2018 intends to offer target audience with the fresh outlook on market and fill in the knowledge gaps with the help of processed information and opinions from industry experts. The information in the research report is well-processed and a report is accumulated by industry professionals and seasoned experts in the field to ensure of the quality of research.The research is backed by extensive and in-depth secondary research which involves reference to various statistical databases, national government documents, relevant patent and regulatory databases, news articles, press releases, company annual reports, webcasts, financial reports, and a number of internal and external proprietary databases. This estimated data is cross-checked with industry experts from various leading companies in the market. After the entire authentication process, these reports are shared with subject matter experts (SMEs) for adding further value and to gain their insightful opinion on the research. With such robust process of data extraction, verification, and finalization, we firmly endorse the quality of our research. With such extensive and in-depth research and comprehensive coverage of information, it is always a possibility of clients finding their desired information in the report with enclosure of key components and valuable statistics in all regards.
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The Deep Learning System market was valued at Million US$ in 2017 and is projected to reach Million US$ by 2025, at a CAGR of during the forecast period. In this study, 2017 has been considered as the base year and 2018 to 2025 as the forecast period to estimate the market size for Deep Learning System.
The following manufacturers are covered in this report:
NVIDIA
Intel
IBM
Qualcomm
CEVA
KnuEdge
AMD
Xilinx
ARM
Graphcore
TeraDeep
Wave Computing
BrainChip
Deep Learning System Breakdown Data by Type
GPUs
CPUs
ASICs
FPGAs
Others
Deep Learning System Breakdown Data by Application
Consumer
Aerospace, Military & Defense
Automotive
Industrial
Medical
Others
Deep Learning System Production by Region
United States
Europe
China
Japan
South Korea
Other Regions
Deep Learning System Consumption by Region
North America
United States
Canada
Mexico
Asia-Pacific
China
India
Japan
South Korea
Australia
Indonesia
Malaysia
Philippines
Thailand
Vietnam
Europe
Germany
France
UK
Italy
Russia
Rest of Europe
Central & South America
Brazil
Rest of South America
Middle East & Africa
GCC Countries
Turkey
Egypt
South Africa
Rest of Middle East & Africa
Table of Contents
Global Deep Learning System Market Insights, Forecast 2018-2025
1 Study Coverage
1.1 Deep Learning System Product
1.2 Key Market Segments in This Study
1.3 Key Manufacturers Covered
1.4 Market by Type
1.4.1 Global Deep Learning System Market Size Growth Rate by Type
1.4.2 GPUs
1.4.3 CPUs
1.4.4 ASICs
1.4.5 FPGAs
1.4.6 Others
1.5 Market by Application
1.5.1 Global Deep Learning System Market Size Growth Rate by Application
1.5.2 Consumer
1.5.3 Aerospace, Military & Defense
1.5.4 Automotive
1.5.5 Industrial
1.5.6 Medical
1.5.7 Others
1.6 Study Objectives
1.7 Years Considered
2 Executive Summary
2.1 Global Deep Learning System Market Size
2.1.1 Global Deep Learning System Revenue 2013-2025
2.1.2 Global Deep Learning System Production 2013-2025
2.2 Deep Learning System Growth Rate (CAGR) 2018-2025
2.3 Analysis of Competitive Landscape
2.3.1 Manufacturers Market Concentration Ratio (CR5 and HHI)
2.3.2 Key Deep Learning System Manufacturers
2.3.2.1 Deep Learning System Manufacturing Base Distribution, Headquarters
2.3.2.2 Manufacturers Deep Learning System Product Offered
2.3.2.3 Date of Manufacturers Enter into Deep Learning System Market
2.4 Key Trends for Deep Learning System Markets & Products
3 Market Size by Manufacturers
3.1 Deep Learning System Production by Manufacturers
3.1.1 Deep Learning System Production by Manufacturers
3.1.2 Deep Learning System Production Market Share by Manufacturers
3.2 Deep Learning System Revenue by Manufacturers
3.2.1 Deep Learning System Revenue by Manufacturers (2013-2018)
3.2.2 Deep Learning System Revenue Share by Manufacturers (2013-2018)
3.3 Deep Learning System Price by Manufacturers
3.4 Mergers & Acquisitions, Expansion Plans
4 Deep Learning System Production by Regions
4.1 Global Deep Learning System Production by Regions
4.1.1 Global Deep Learning System Production Market Share by Regions
4.1.2 Global Deep Learning System Revenue Market Share by Regions
4.2 United States
4.2.1 United States Deep Learning System Production
4.2.2 United States Deep Learning System Revenue
4.2.3 Key Players in United States
4.2.4 United States Deep Learning System Import & Export
4.3 Europe
4.3.1 Europe Deep Learning System Production
4.3.2 Europe Deep Learning System Revenue
4.3.3 Key Players in Europe
4.3.4 Europe Deep Learning System Import & Export
4.4 China
4.4.1 China Deep Learning System Production
4.4.2 China Deep Learning System Revenue
4.4.3 Key Players in China
4.4.4 China Deep Learning System Import & Export
4.5 Japan
4.5.1 Japan Deep Learning System Production
4.5.2 Japan Deep Learning System Revenue
4.5.3 Key Players in Japan
4.5.4 Japan Deep Learning System Import & Export
4.6 South Korea
4.6.1 South Korea Deep Learning System Production
4.6.2 South Korea Deep Learning System Revenue
4.6.3 Key Players in South Korea
4.6.4 South Korea Deep Learning System Import & Export
4.7 Other Regions
4.7.1 Taiwan
4.7.2 India
4.7.3 Southeast Asia
5 Deep Learning System Consumption by Regions
5.1 Global Deep Learning System Consumption by Regions
5.1.1 Global Deep Learning System Consumption by Regions
5.1.2 Global Deep Learning System Consumption Market Share by Regions
5.2 North America
5.2.1 North America Deep Learning System Consumption by Application
5.2.2 North America Deep Learning System Consumption by Countries
5.2.3 United States
5.2.4 Canada
5.2.5 Mexico
5.3 Europe
5.3.1 Europe Deep Learning System Consumption by Application
5.3.2 Europe Deep Learning System Consumption by Countries
5.3.3 Germany
5.3.4 France
5.3.5 UK
5.3.6 Italy
5.3.7 Russia
5.4 Asia Pacific
5.4.1 Asia Pacific Deep Learning System Consumption by Application
5.4.2 Asia Pacific Deep Learning System Consumption by Countries
5.4.3 China
5.4.4 Japan
5.4.5 South Korea
5.4.6 India
5.4.7 Australia
5.4.8 Indonesia
5.4.9 Thailand
5.4.10 Malaysia
5.4.11 Philippines
5.4.12 Vietnam
5.5 Central & South America
5.5.1 Central & South America Deep Learning System Consumption by Application
5.5.2 Central & South America Deep Learning System Consumption by Country
5.5.3 Brazil
5.6 Middle East and Africa
5.6.1 Middle East and Africa Deep Learning System Consumption by Application
5.6.2 Middle East and Africa Deep Learning System Consumption by Countries
5.6.3 GCC Countries
5.6.4 Egypt
5.6.5 South Africa
6 Market Size by Type
6.1 Global Deep Learning System Production by Type
6.2 Global Deep Learning System Revenue by Type
6.3 Deep Learning System Price by Type
7 Market Size by Application
7.1 Overview
7.2 Global Deep Learning System Breakdown Dada by Application
7.2.1 Global Deep Learning System Consumption by Application
7.2.2 Global Deep Learning System Consumption Market Share by Application (2013-2018)
8 Manufacturers Profiles
8.1 NVIDIA
8.1.1 NVIDIA Company Details
8.1.2 Company Overview
8.1.3 NVIDIA Deep Learning System Production Revenue and Gross Margin (2013-2018)
8.1.4 NVIDIA Deep Learning System Product Description
8.1.5 NVIDIA Recent Development
8.2 Intel
8.2.1 Intel Company Details
8.2.2 Company Overview
8.2.3 Intel Deep Learning System Production Revenue and Gross Margin (2013-2018)
8.2.4 Intel Deep Learning System Product Description
8.2.5 Intel Recent Development
8.3 IBM
8.3.1 IBM Company Details
8.3.2 Company Overview
8.3.3 IBM Deep Learning System Production Revenue and Gross Margin (2013-2018)
8.3.4 IBM Deep Learning System Product Description
8.3.5 IBM Recent Development
8.4 Qualcomm
8.4.1 Qualcomm Company Details
8.4.2 Company Overview
8.4.3 Qualcomm Deep Learning System Production Revenue and Gross Margin (2013-2018)
8.4.4 Qualcomm Deep Learning System Product Description
8.4.5 Qualcomm Recent Development
8.5 CEVA
8.5.1 CEVA Company Details
8.5.2 Company Overview
8.5.3 CEVA Deep Learning System Production Revenue and Gross Margin (2013-2018)
8.5.4 CEVA Deep Learning System Product Description
8.5.5 CEVA Recent Development
8.6 KnuEdge
8.6.1 KnuEdge Company Details
8.6.2 Company Overview
8.6.3 KnuEdge Deep Learning System Production Revenue and Gross Margin (2013-2018)
8.6.4 KnuEdge Deep Learning System Product Description
8.6.5 KnuEdge Recent Development
8.7 AMD
8.7.1 AMD Company Details
8.7.2 Company Overview
8.7.3 AMD Deep Learning System Production Revenue and Gross Margin (2013-2018)
8.7.4 AMD Deep Learning System Product Description
8.7.5 AMD Recent Development
8.8 Xilinx
8.8.1 Xilinx Company Details
8.8.2 Company Overview
8.8.3 Xilinx Deep Learning System Production Revenue and Gross Margin (2013-2018)
8.8.4 Xilinx Deep Learning System Product Description
8.8.5 Xilinx Recent Development
8.9 ARM
8.9.1 ARM Company Details
8.9.2 Company Overview
8.9.3 ARM Deep Learning System Production Revenue and Gross Margin (2013-2018)
8.9.4 ARM Deep Learning System Product Description
8.9.5 ARM Recent Development
8.10 Google
8.10.1 Google Company Details
8.10.2 Company Overview
8.10.3 Google Deep Learning System Production Revenue and Gross Margin (2013-2018)
8.10.4 Google Deep Learning System Product Description
8.10.5 Google Recent Development
8.11 Graphcore
8.12 TeraDeep
8.13 Wave Computing
8.14 BrainChip
9 Production Forecasts
9.1 Deep Learning System Production and Revenue Forecast
9.1.1 Global Deep Learning System Production Forecast 2018-2025
9.1.2 Global Deep Learning System Revenue Forecast 2018-2025
9.2 Deep Learning System Production and Revenue Forecast by Regions
9.2.1 Global Deep Learning System Revenue Forecast by Regions
9.2.2 Global Deep Learning System Production Forecast by Regions
9.3 Deep Learning System Key Producers Forecast
9.3.1 United States
9.3.2 Europe
9.3.3 China
9.3.4 Japan
9.3.5 South Korea
9.4 Forecast by Type
9.4.1 Global Deep Learning System Production Forecast by Type
9.4.2 Global Deep Learning System Revenue Forecast by Type
10 Consumption Forecast
10.1 Deep Learning System Consumption Forecast by Application
10.2 Deep Learning System Consumption Forecast by Regions
10.3 North America Market Consumption Forecast
10.3.1 North America Deep Learning System Consumption Forecast by Regions 2018-2025
10.3.2 United States
10.3.3 Canada
10.3.4 Mexico
10.4 Europe Market Consumption Forecast
10.4.1 Europe Deep Learning System Consumption Forecast by Regions 2018-2025
10.4.2 Germany
10.4.3 France
10.4.4 UK
10.4.5 Italy
10.4.6 Russia
10.5 Asia Pacific Market Consumption Forecast
10.5.1 Asia Pacific Deep Learning System Consumption Forecast by Regions 2018-2025
10.5.2 China
10.5.3 Japan
10.5.4 South Korea
10.5.5 India
10.5.6 Australia
10.5.7 Indonesia
10.5.8 Thailand
10.5.9 Malaysia
10.5.10 Philippines
10.5.11 Vietnam
10.6 Central & South America Market Consumption Forecast
10.6.1 Central & South America Deep Learning System Consumption Forecast by Regions 2018-2025
10.6.2 Brazil
10.7 Middle East and Africa Market Consumption Forecast
10.7.1 Middle East and Africa Deep Learning System Consumption Forecast by Regions 2018-2025
10.7.2 GCC Countries
10.7.3 Egypt
10.7.4 South Africa
11 Value Chain and Sales Channels Analysis
11.1 Value Chain Analysis
11.2 Sales Channels Analysis
11.2.1 Deep Learning System Sales Channels
11.2.2 Deep Learning System Distributors
11.3 Deep Learning System Customers
12 Market Opportunities & Challenges, Risks and Influences Factors Analysis
12.1 Market Opportunities and Drivers
12.2 Market Challenges
12.3 Market Risks/Restraints
12.4 Key World Economic Indicators
13 Key Findings in the Global Deep Learning System Study
14 Appendix
14.1 Research Methodology
14.1.1 Methodology/Research Approach
14.1.1.1 Research Programs/Design
14.1.1.2 Market Size Estimation
14.1.1.3 Market Breakdown and Data Triangulation
14.1.2 Data Source
14.1.2.1 Secondary Sources
14.1.2.2 Primary Sources
14.2 Author Details
14.3 Disclaimer
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