Global Deep Learning Software Market Size, Status and Forecast 2018-2025
Published On: September 2018
 
Report ID:306414
 
Publisher: QY Research
 
 
Pages: 95




This report focuses on the global Deep Learning Software status, future forecast, growth opportunity, key market and key players. The study objectives are to present the Deep Learning Software development in United States, Europe and China.

In 2017, the global Deep Learning Software market size was million US$ and it is expected to reach million US$ by the end of 2025, with a CAGR of during 2018-2025.

The key players covered in this study

Artelnics

Bright Computing

BAIR

Intel

Cognex

IBM

Keras

Microsoft

VLFeat

NIVIDA

PaddlePaddle

Torch

SignalBox

Wolfram

Market segment by Type, the product can be split into

Cloud based

On premise

Market segment by Application, split into

Large Enterprise

SMB

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 Software status, future forecast, growth opportunity, key market and key players.

To present the Deep Learning Software 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 Software are as follows:

History Year: 2013-2017

Base Year: 2017

Estimated Year: 2018

Forecast Year 2018 to 2025

For the data information by region, company, type and application, 2017 is considered as the base year. Whenever data information was unavailable for the base year, the prior year has been considered.

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 Software Market Size Growth Rate by Type (2013-2025)

1.4.2 Cloud based

1.4.3 On premise

1.5 Market by Application

1.5.1 Global Deep Learning Software Market Share by Application (2013-2025)

1.5.2 Large Enterprise

1.5.3 SMB

1.6 Study Objectives

1.7 Years Considered

2 Global Growth Trends

2.1 Deep Learning Software Market Size

2.2 Deep Learning Software Growth Trends by Regions

2.2.1 Deep Learning Software Market Size by Regions (2013-2025)

2.2.2 Deep Learning Software Market Share by Regions (2013-2018)

2.3 Industry Trends

2.3.1 Market Top Trends

2.3.2 Market Drivers

2.3.3 Market Opportunities

3 Market Share by Key Players

3.1 Deep Learning Software Market Size by Manufacturers

3.1.1 Global Deep Learning Software Revenue by Manufacturers (2013-2018)

3.1.2 Global Deep Learning Software Revenue Market Share by Manufacturers (2013-2018)

3.1.3 Global Deep Learning Software Market Concentration Ratio (CR5 and HHI)

3.2 Deep Learning Software Key Players Head office and Area Served

3.3 Key Players Deep Learning Software Product/Solution/Service

3.4 Date of Enter into Deep Learning Software Market

3.5 Mergers & Acquisitions, Expansion Plans

4 Breakdown Data by Type and Application

4.1 Global Deep Learning Software Market Size by Type (2013-2018)

4.2 Global Deep Learning Software Market Size by Application (2013-2018)

5 United States

5.1 United States Deep Learning Software Market Size (2013-2018)

5.2 Deep Learning Software Key Players in United States

5.3 United States Deep Learning Software Market Size by Type

5.4 United States Deep Learning Software Market Size by Application

6 Europe

6.1 Europe Deep Learning Software Market Size (2013-2018)

6.2 Deep Learning Software Key Players in Europe

6.3 Europe Deep Learning Software Market Size by Type

6.4 Europe Deep Learning Software Market Size by Application

7 China

7.1 China Deep Learning Software Market Size (2013-2018)

7.2 Deep Learning Software Key Players in China

7.3 China Deep Learning Software Market Size by Type

7.4 China Deep Learning Software Market Size by Application

8 Japan

8.1 Japan Deep Learning Software Market Size (2013-2018)

8.2 Deep Learning Software Key Players in Japan

8.3 Japan Deep Learning Software Market Size by Type

8.4 Japan Deep Learning Software Market Size by Application

9 Southeast Asia

9.1 Southeast Asia Deep Learning Software Market Size (2013-2018)

9.2 Deep Learning Software Key Players in Southeast Asia

9.3 Southeast Asia Deep Learning Software Market Size by Type

9.4 Southeast Asia Deep Learning Software Market Size by Application

10 India

10.1 India Deep Learning Software Market Size (2013-2018)

10.2 Deep Learning Software Key Players in India

10.3 India Deep Learning Software Market Size by Type

10.4 India Deep Learning Software Market Size by Application

11 Central & South America

11.1 Central & South America Deep Learning Software Market Size (2013-2018)

11.2 Deep Learning Software Key Players in Central & South America

11.3 Central & South America Deep Learning Software Market Size by Type

11.4 Central & South America Deep Learning Software Market Size by Application

12 International Players Profiles

12.1 Artelnics

12.1.1 Artelnics Company Details

12.1.2 Company Description and Business Overview

12.1.3 Deep Learning Software Introduction

12.1.4 Artelnics Revenue in Deep Learning Software Business (2013-2018)

12.1.5 Artelnics Recent Development

12.2 Bright Computing

12.2.1 Bright Computing Company Details

12.2.2 Company Description and Business Overview

12.2.3 Deep Learning Software Introduction

12.2.4 Bright Computing Revenue in Deep Learning Software Business (2013-2018)

12.2.5 Bright Computing Recent Development

12.3 BAIR

12.3.1 BAIR Company Details

12.3.2 Company Description and Business Overview

12.3.3 Deep Learning Software Introduction

12.3.4 BAIR Revenue in Deep Learning Software Business (2013-2018)

12.3.5 BAIR Recent Development

12.4 Intel

12.4.1 Intel Company Details

12.4.2 Company Description and Business Overview

12.4.3 Deep Learning Software Introduction

12.4.4 Intel Revenue in Deep Learning Software Business (2013-2018)

12.4.5 Intel Recent Development

12.5 Cognex

12.5.1 Cognex Company Details

12.5.2 Company Description and Business Overview

12.5.3 Deep Learning Software Introduction

12.5.4 Cognex Revenue in Deep Learning Software Business (2013-2018)

12.5.5 Cognex Recent Development

12.6 IBM

12.6.1 IBM Company Details

12.6.2 Company Description and Business Overview

12.6.3 Deep Learning Software Introduction

12.6.4 IBM Revenue in Deep Learning Software Business (2013-2018)

12.6.5 IBM Recent Development

12.7 Keras

12.7.1 Keras Company Details

12.7.2 Company Description and Business Overview

12.7.3 Deep Learning Software Introduction

12.7.4 Keras Revenue in Deep Learning Software Business (2013-2018)

12.7.5 Keras Recent Development

12.8 Microsoft

12.8.1 Microsoft Company Details

12.8.2 Company Description and Business Overview

12.8.3 Deep Learning Software Introduction

12.8.4 Microsoft Revenue in Deep Learning Software Business (2013-2018)

12.8.5 Microsoft Recent Development

12.9 VLFeat

12.9.1 VLFeat Company Details

12.9.2 Company Description and Business Overview

12.9.3 Deep Learning Software Introduction

12.9.4 VLFeat Revenue in Deep Learning Software Business (2013-2018)

12.9.5 VLFeat Recent Development

12.10 NIVIDA

12.10.1 NIVIDA Company Details

12.10.2 Company Description and Business Overview

12.10.3 Deep Learning Software Introduction

12.10.4 NIVIDA Revenue in Deep Learning Software Business (2013-2018)

12.10.5 NIVIDA Recent Development

12.11 PaddlePaddle

12.12 Torch

12.13 SignalBox

12.14 Wolfram

13 Market Forecast 2018-2025

13.1 Market Size Forecast by Regions

13.2 United States

13.3 Europe

13.4 China

13.5 Japan

13.6 Southeast Asia

13.7 India

13.8 Central & South America

13.9 Market Size Forecast by Product (2018-2025)

13.10 Market Size Forecast by Application (2018-2025)

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

12.1.1.3 Market Breakdown and Data Triangulation

15.1.2 Data Source

15.1.2.1 Secondary Sources

15.1.2.2 Primary Sources

15.2 Disclaimer

15.3 Author Details






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