Global Deep Learning System Software Market Size, Status and Forecast 2019-2025
Table of Contents
1 Report Overview
- 1.1 Study Scope
- 1.2 Key Market Segments
- 1.3 Players Covered
- 1.4 Market Analysis by Type
- 1.4.1 Global Deep Learning System Software Market Size Growth Rate by Type (2014-2025)
- 1.4.2 Cloud-based
- 1.4.3 On-premise
- 1.5 Market by Application
- 1.5.1 Global Deep Learning System Software Market Share by Application (2019-2025)
- 1.5.2 Retail
- 1.5.3 Aerospace, Military and 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 Global Growth Trends
- 2.1 Deep Learning System Software Market Size
- 2.2 Deep Learning System Software Growth Trends by Regions
- 2.2.1 Deep Learning System Software Market Size by Regions (2019-2025)
- 2.2.2 Deep Learning System Software Market Share by Regions (2014-2019)
- 2.3 Industry Trends
- 2.3.1 Market Top Trends
- 2.3.2 Market Drivers
- 2.3.3 Market Challenges
- 2.3.4 Porter’s Five Forces Analysis
3 Market Share by Key Players
- 3.1 Deep Learning System Software Market Size by by Players
- 3.1.1 Global Deep Learning System Software Revenue by by Players (2014-2019)
- 3.1.2 Global Deep Learning System Software Revenue Market Share by by Players (2014-2019)
- 3.1.3 Global Deep Learning System Software Market Concentration Ratio (CR5 and HHI)
- 3.2 Deep Learning System Software Key Players Head office and Area Served
- 3.3 Key Players Deep Learning System Software Product/Solution/Service
- 3.4 Date of Enter into Deep Learning System Software Market
- 3.5 Mergers & Acquisitions, Expansion Plans
4 Breakdown Data by Type and Application
- 4.1 Global Deep Learning System Software Market Size by Type (2014-2019)
- 4.2 Global Deep Learning System Software Market Size by Application (2014-2019)
5 North America
- 5.1 North America Deep Learning System Software Market Size (2014-2019)
- 5.2 Deep Learning System Software Key Players in North America
- 5.3 North America Deep Learning System Software Market Size by Type
- 5.4 North America Deep Learning System Software Market Size by Application
6 Europe
- 6.1 Europe Deep Learning System Software Market Size (2014-2019)
- 6.2 Deep Learning System Software Key Players in Europe
- 6.3 Europe Deep Learning System Software Market Size by Type
- 6.4 Europe Deep Learning System Software Market Size by Application
7 China
- 7.1 China Deep Learning System Software Market Size (2014-2019)
- 7.2 Deep Learning System Software Key Players in China
- 7.3 China Deep Learning System Software Market Size by Type
- 7.4 China Deep Learning System Software Market Size by Application
8 Japan
- 8.1 Japan Deep Learning System Software Market Size (2014-2019)
- 8.2 Deep Learning System Software Key Players in Japan
- 8.3 Japan Deep Learning System Software Market Size by Type
- 8.4 Japan Deep Learning System Software Market Size by Application
9 Southeast Asia
- 9.1 Southeast Asia Deep Learning System Software Market Size (2014-2019)
- 9.2 Deep Learning System Software Key Players in Southeast Asia
- 9.3 Southeast Asia Deep Learning System Software Market Size by Type
- 9.4 Southeast Asia Deep Learning System Software Market Size by Application
10 India
- 10.1 India Deep Learning System Software Market Size (2014-2019)
- 10.2 Deep Learning System Software Key Players in India
- 10.3 India Deep Learning System Software Market Size by Type
- 10.4 India Deep Learning System Software Market Size by Application
11 Central & South America
- 11.1 Central & South America Deep Learning System Software Market Size (2014-2019)
- 11.2 Deep Learning System Software Key Players in Central & South America
- 11.3 Central & South America Deep Learning System Software Market Size by Type
- 11.4 Central & South America Deep Learning System Software Market Size by Application
12 International Players Profiles
- 12.1 Microsoft
- 12.1.1 Microsoft Company Details
- 12.1.2 Company Description and Business Overview
- 12.1.3 Deep Learning System Software Introduction
- 12.1.4 Microsoft Revenue in Deep Learning System Software Business (2014-2019))
- 12.1.5 Microsoft Recent Development
- 12.2 General Vision
- 12.2.1 General Vision Company Details
- 12.2.2 Company Description and Business Overview
- 12.2.3 Deep Learning System Software Introduction
- 12.2.4 General Vision Revenue in Deep Learning System Software Business (2014-2019)
- 12.2.5 General Vision Recent Development
- 12.3 Sensory
- 12.3.1 Sensory Company Details
- 12.3.2 Company Description and Business Overview
- 12.3.3 Deep Learning System Software Introduction
- 12.3.4 Sensory Revenue in Deep Learning System Software Business (2014-2019)
- 12.3.5 Sensory Recent Development
- 12.4 Skymind
- 12.4.1 Skymind Company Details
- 12.4.2 Company Description and Business Overview
- 12.4.3 Deep Learning System Software Introduction
- 12.4.4 Skymind Revenue in Deep Learning System Software Business (2014-2019)
- 12.4.5 Skymind Recent Development
- 12.5 Nvidia Corporation
- 12.5.1 Nvidia Corporation Company Details
- 12.5.2 Company Description and Business Overview
- 12.5.3 Deep Learning System Software Introduction
- 12.5.4 Nvidia Corporation Revenue in Deep Learning System Software Business (2014-2019)
- 12.5.5 Nvidia Corporation Recent Development
- 12.6 LISA lab
- 12.6.1 LISA lab Company Details
- 12.6.2 Company Description and Business Overview
- 12.6.3 Deep Learning System Software Introduction
- 12.6.4 LISA lab Revenue in Deep Learning System Software Business (2014-2019)
- 12.6.5 LISA lab Recent Development
- 12.7 Facebook
- 12.7.1 Facebook Company Details
- 12.7.2 Company Description and Business Overview
- 12.7.3 Deep Learning System Software Introduction
- 12.7.4 Facebook Revenue in Deep Learning System Software Business (2014-2019)
- 12.7.5 Facebook Recent Development
- 12.8 Alphabet
- 12.8.1 Alphabet Company Details
- 12.8.2 Company Description and Business Overview
- 12.8.3 Deep Learning System Software Introduction
- 12.8.4 Alphabet Revenue in Deep Learning System Software Business (2014-2019)
- 12.8.5 Alphabet Recent Development
- 12.9 Intel
- 12.9.1 Intel Company Details
- 12.9.2 Company Description and Business Overview
- 12.9.3 Deep Learning System Software Introduction
- 12.9.4 Intel Revenue in Deep Learning System Software Business (2014-2019)
- 12.9.5 Intel Recent Development
13 Market Forecast 2019-2025
- 13.1 Market Size Forecast by Product (2019-2025)
- 13.2 Market Size Forecast by Application (2019-2025)
- 13.3 Market Size Forecast by Regions
- 13.4 North America
- 13.5 Europe
- 13.6 China
- 13.7 Japan
- 13.8 Southeast Asia
- 13.9 India
- 13.10 Central & South America
14 Analyst's Viewpoints/Conclusions
15 Appendix
- 15.1 Research Methodology
- 15.1.1 Methodology/Research Approach
- 15.1.1.1 Research Programs/Design
- 15.1.1.2 Market Size Estimation
- 15.1.1.3 Market Breakdown and Data Triangulation
- 15.1.2 Data Source
- 15.1.2.1 Secondary Sources
- 15.1.2.2 Primary Sources
- 15.1.1 Methodology/Research Approach
- 15.2 Disclaimer
This report focuses on the global Deep Learning System Software status, future forecast, growth opportunity, key market and key players. The study objectives are to present the Deep Learning System Software development in North America, Europe, China, Japan, Southeast Asia, India and Central & South America.
The key players covered in this study
Microsoft
General Vision
Sensory
Skymind
Nvidia Corporation
LISA lab
Facebook
Alphabet
Intel
Market segment by Type, the product can be split into
Cloud-based
On-premise
Market segment by Application, split into
Retail
Aerospace, Military and Defense
Automotive
Industrial
Medical
Others
Market segment by Regions/Countries, this report covers
North America
Europe
China
Japan
Southeast Asia
India
Central & South America
The study objectives of this report are:
To analyze global Deep Learning System Software status, future forecast, growth opportunity, key market and key players.
To present the Deep Learning System Software development in North America, Europe, China, Japan, Southeast Asia, India and Central & South America.
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 System Software 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.