Global Deep Learning Market Size, Status, Research and Forecast 2019-2025

Published On: Jul 2019

Format: PDF

Publisher: QY Research

Pages: 106

Report ID: 3379

The deep learning market has been segmented on the basis of offerings, applications, end-user industries, and geographies. In terms of offerings, software holds the largest share of the deep learning market. Also, the market for services is expected to grow at the highest CAGR from 2018 to 2023. The increasing adoption of deep learning software solutions in various applications, such as smartphone assistants, ATMs that read checks, voice and image recognition software on social network, and software that serves up ads on many websites, is driving the growth of machine learning technology in the deep learning market. Most companies that manufacture and develop deep learning systems and related software provide both online and offline support, depending on the application. Several companies provide installation, training, and support pertaining to these systems, along with online assistance and post-maintenance of software and required services.
In 2018, the global Deep Learning market size was xx million US$ and it is expected to reach xx million US$ by the end of 2025, with a CAGR of 31.2% during 2019-2025.

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

The key players covered in this study
Amazon Web Services (AWS)
Google
IBM
Intel
Micron Technology
Microsoft
Nvidia
Qualcomm
Samsung Electronics
Sensory Inc.
Skymind
Xilinx
AMD
General Vision
Graphcore
Mellanox Technologies
Huawei Technologies
Fujitsu
Baidu
Mythic
Adapteva, Inc.
Koniku

Market segment by Type, the product can be split into
Hardware
Software
Services

Market segment by Application, split into
Healthcare
Manufacturing
Automotive
Agriculture
Retail
Security
Human Resources
Marketing

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 status, future forecast, growth opportunity, key market and key players.
To present the Deep Learning 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 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.

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 Market Size Growth Rate by Type (2014-2025)
1.4.2 Hardware
1.4.3 Software
1.4.4 Services
1.5 Market by Application
1.5.1 Global Deep Learning Market Share by Application (2014-2025)
1.5.2 Healthcare
1.5.3 Manufacturing
1.5.4 Automotive
1.5.5 Agriculture
1.5.6 Retail
1.5.7 Security
1.5.8 Human Resources
1.5.9 Marketing
1.6 Study Objectives
1.7 Years Considered

2 Global Growth Trends
2.1 Deep Learning Market Size
2.2 Deep Learning Growth Trends by Regions
2.2.1 Deep Learning Market Size by Regions (2014-2025)
2.2.2 Deep Learning 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 Opportunities

3 Market Share by Key Players
3.1 Deep Learning Market Size by Manufacturers
3.1.1 Global Deep Learning Revenue by Manufacturers (2014-2019)
3.1.2 Global Deep Learning Revenue Market Share by Manufacturers (2014-2019)
3.1.3 Global Deep Learning Market Concentration Ratio (CR5 and HHI)
3.2 Deep Learning Key Players Head office and Area Served
3.3 Key Players Deep Learning Product/Solution/Service
3.4 Date of Enter into Deep Learning Market
3.5 Mergers & Acquisitions, Expansion Plans

4 Breakdown Data by Type and Application
4.1 Global Deep Learning Market Size by Type (2014-2019)
4.2 Global Deep Learning Market Size by Application (2014-2019)

5 United States
5.1 United States Deep Learning Market Size (2014-2019)
5.2 Deep Learning Key Players in United States
5.3 United States Deep Learning Market Size by Type
5.4 United States Deep Learning Market Size by Application

6 Europe
6.1 Europe Deep Learning Market Size (2014-2019)
6.2 Deep Learning Key Players in Europe
6.3 Europe Deep Learning Market Size by Type
6.4 Europe Deep Learning Market Size by Application

7 China
7.1 China Deep Learning Market Size (2014-2019)
7.2 Deep Learning Key Players in China
7.3 China Deep Learning Market Size by Type
7.4 China Deep Learning Market Size by Application

8 Japan
8.1 Japan Deep Learning Market Size (2014-2019)
8.2 Deep Learning Key Players in Japan
8.3 Japan Deep Learning Market Size by Type
8.4 Japan Deep Learning Market Size by Application

9 Southeast Asia
9.1 Southeast Asia Deep Learning Market Size (2014-2019)
9.2 Deep Learning Key Players in Southeast Asia
9.3 Southeast Asia Deep Learning Market Size by Type
9.4 Southeast Asia Deep Learning Market Size by Application

10 India
10.1 India Deep Learning Market Size (2014-2019)
10.2 Deep Learning Key Players in India
10.3 India Deep Learning Market Size by Type
10.4 India Deep Learning Market Size by Application

11 Central & South America
11.1 Central & South America Deep Learning Market Size (2014-2019)
11.2 Deep Learning Key Players in Central & South America
11.3 Central & South America Deep Learning Market Size by Type
11.4 Central & South America Deep Learning Market Size by Application

12 International Players Profiles
12.1 Amazon Web Services (AWS)
12.1.1 Amazon Web Services (AWS) Company Details
12.1.2 Company Description and Business Overview
12.1.3 Deep Learning Introduction
12.1.4 Amazon Web Services (AWS) Revenue in Deep Learning Business (2014-2019)
12.1.5 Amazon Web Services (AWS) Recent Development
12.2 Google
12.2.1 Google Company Details
12.2.2 Company Description and Business Overview
12.2.3 Deep Learning Introduction
12.2.4 Google Revenue in Deep Learning Business (2014-2019)
12.2.5 Google Recent Development
12.3 IBM
12.3.1 IBM Company Details
12.3.2 Company Description and Business Overview
12.3.3 Deep Learning Introduction
12.3.4 IBM Revenue in Deep Learning Business (2014-2019)
12.3.5 IBM Recent Development
12.4 Intel
12.4.1 Intel Company Details
12.4.2 Company Description and Business Overview
12.4.3 Deep Learning Introduction
12.4.4 Intel Revenue in Deep Learning Business (2014-2019)
12.4.5 Intel Recent Development
12.5 Micron Technology
12.5.1 Micron Technology Company Details
12.5.2 Company Description and Business Overview
12.5.3 Deep Learning Introduction
12.5.4 Micron Technology Revenue in Deep Learning Business (2014-2019)
12.5.5 Micron Technology Recent Development
12.6 Microsoft
12.6.1 Microsoft Company Details
12.6.2 Company Description and Business Overview
12.6.3 Deep Learning Introduction
12.6.4 Microsoft Revenue in Deep Learning Business (2014-2019)
12.6.5 Microsoft Recent Development
12.7 Nvidia
12.7.1 Nvidia Company Details
12.7.2 Company Description and Business Overview
12.7.3 Deep Learning Introduction
12.7.4 Nvidia Revenue in Deep Learning Business (2014-2019)
12.7.5 Nvidia Recent Development
12.8 Qualcomm
12.8.1 Qualcomm Company Details
12.8.2 Company Description and Business Overview
12.8.3 Deep Learning Introduction
12.8.4 Qualcomm Revenue in Deep Learning Business (2014-2019)
12.8.5 Qualcomm Recent Development
12.9 Samsung Electronics
12.9.1 Samsung Electronics Company Details
12.9.2 Company Description and Business Overview
12.9.3 Deep Learning Introduction
12.9.4 Samsung Electronics Revenue in Deep Learning Business (2014-2019)
12.9.5 Samsung Electronics Recent Development
12.10 Sensory Inc.
12.10.1 Sensory Inc. Company Details
12.10.2 Company Description and Business Overview
12.10.3 Deep Learning Introduction
12.10.4 Sensory Inc. Revenue in Deep Learning Business (2014-2019)
12.10.5 Sensory Inc. Recent Development
12.11 Skymind
12.12 Xilinx
12.13 AMD
12.14 General Vision
12.15 Graphcore
12.16 Mellanox Technologies
12.17 Huawei Technologies
12.18 Fujitsu
12.19 Baidu
12.20 Mythic
12.21 Adapteva, Inc.
12.22 Koniku

13 Market Forecast 2019-2025
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 (2019-2025)
13.10 Market Size Forecast by Application (2019-2025)

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