Dublin, May 06, 2020 (GLOBE NEWSWIRE) -- The "Deep Learning Market: Global Industry Trends, Share, Size, Growth, Opportunity and Forecast 2020-2025" report has been added to ResearchAndMarkets.com's offering.

The global deep learning market is currently witnessing strong growth. Deep learning, or deep structured learning, is a division of machine learning that uses layered algorithmic models for analyzing data. It is a crucial component of data science, which uses statistics and predictive modeling for collecting, analyzing and interpreting large amounts of information.

It also involves the use of artificial intelligence (AI) to imitate the functioning of the human brain while processing data, forming patterns and making decisions. This technology is commonly used in image recognition tools, natural language processing (NLP) and speech recognition software, self-driving vehicles and language translation services and finds extensive applications across the retail, healthcare, automotive, agriculture, security and manufacturing industries.

The expanding information technology (IT) industry, along with the rising trend of digitalization, is one of the key factors driving the growth of the market. In comparison to the traditionally used computing systems, deep learning algorithms can automatically intercept available data points, which enhances the efficiency and accuracy of the decision-making process. Furthermore, deep learning solutions are widely employed for cybersecurity, database management and fraud detection systems. They are also utilized for processing medical images for disease diagnosis and drug discovery and offering virtual patient assistance in the healthcare sector, which is contributing to the widespread adoption of the technology.

Other factors, including its integration with big data analytics and cloud computing, along with extensive research and development (R&D) activities to develop improved hardware and software processing solutions for deep learning, are projected to drive the market in the coming years. Looking forward, the publisher expects the market to register a CAGR of around 30% during 2020-2025.

The report has also analysed the competitive landscape of the market with some of the key players being Amazon Web Services (AWS), Google Inc., IBM, Intel, Micron Technology, Microsoft Corporation, Nvidia, Qualcomm, Samsung Electronics, Sensory Inc., Pathmind, Inc., Xilinx, etc.

Key Questions Answered in This Report:

  1. How has the global deep learning market performed so far and how will it perform in the coming years?
  2. What are the key regional markets?
  3. What is the breakup of the market based on the product type?
  4. What is the breakup of the market based on the application?
  5. What is the breakup of the market based on the end-use industry?
  6. What is the breakup of the market based on the architecture?
  7. What are the various stages in the value chain of the industry?
  8. What are the key driving factors and challenges in the industry?
  9. What is the structure of the global deep learning market and who are the key players?
  10. What is the degree of competition in the industry?

Key Topics Covered:

1 Preface

2 Scope and Methodology
2.1 Objectives of the Study
2.2 Stakeholders
2.3 Data Sources
2.3.1 Primary Sources
2.3.2 Secondary Sources
2.4 Market Estimation
2.4.1 Bottom-Up Approach
2.4.2 Top-Down Approach
2.5 Forecasting Methodology

3 Executive Summary

4 Introduction
4.1 Overview
4.2 Key Industry Trends

5 Global Deep Learning Market
5.1 Market Overview
5.2 Market Performance
5.3 Market Forecast

6 Market Breakup by Product Type
6.1 Software
6.1.1 Market Trends
6.1.2 Market Forecast
6.2 Services
6.2.1 Market Trends
6.2.2 Market Forecast
6.3 Hardware
6.3.1 Market Trends
6.3.2 Market Forecast

7 Market Breakup by Application
7.1 Image Recognition
7.1.1 Market Trends
7.1.2 Market Forecast
7.2 Signal Recognition
7.2.1 Market Trends
7.2.2 Market Forecast
7.3 Data Mining
7.3.1 Market Trends
7.3.2 Market Forecast
7.4 Others
7.4.1 Market Trends
7.4.2 Market Forecast

8 Market Breakup by End-Use Industry
8.1 Security
8.1.1 Market Trends
8.1.2 Market Forecast
8.2 Manufacturing
8.2.1 Market Trends
8.2.2 Market Forecast
8.3 Retail
8.3.1 Market Trends
8.3.2 Market Forecast
8.4 Automotive
8.4.1 Market Trends
8.4.2 Market Forecast
8.5 Healthcare
8.5.1 Market Trends
8.5.2 Market Forecast
8.6 Agriculture
8.6.1 Market Trends
8.6.2 Market Forecast
8.7 Others
8.7.1 Market Trends
8.7.2 Market Forecast

9 Market Breakup by Architecture
9.1 RNN
9.1.1 Market Trends
9.1.2 Market Forecast
9.2 CNN
9.2.1 Market Trends
9.2.2 Market Forecast
9.3 DBN
9.3.1 Market Trends
9.3.2 Market Forecast
9.4 DSN
9.4.1 Market Trends
9.4.2 Market Forecast
9.5 GRU
9.5.1 Market Trends
9.5.2 Market Forecast

10 Market Breakup by Region
10.1 North America
10.1.1 United States
10.1.1.1 Market Trends
10.1.1.2 Market Forecast
10.1.2 Canada
10.1.2.1 Market Trends
10.1.2.2 Market Forecast
10.2 Asia Pacific
10.2.1 China
10.2.1.1 Market Trends
10.2.1.2 Market Forecast
10.2.2 Japan
10.2.2.1 Market Trends
10.2.2.2 Market Forecast
10.2.3 India
10.2.3.1 Market Trends
10.2.3.2 Market Forecast
10.2.4 South Korea
10.2.4.1 Market Trends
10.2.4.2 Market Forecast
10.2.5 Australia
10.2.5.1 Market Trends
10.2.5.2 Market Forecast
10.2.6 Indonesia
10.2.6.1 Market Trends
10.2.6.2 Market Forecast
10.2.7 Others
10.2.7.1 Market Trends
10.2.7.2 Market Forecast
10.3 Europe
10.3.1 Germany
10.3.1.1 Market Trends
10.3.1.2 Market Forecast
10.3.2 France
10.3.2.1 Market Trends
10.3.2.2 Market Forecast
10.3.3 United Kingdom
10.3.3.1 Market Trends
10.3.3.2 Market Forecast
10.3.4 Italy
10.3.4.1 Market Trends
10.3.4.2 Market Forecast
10.3.5 Spain
10.3.5.1 Market Trends
10.3.5.2 Market Forecast
10.3.6 Russia
10.3.6.1 Market Trends
10.3.6.2 Market Forecast
10.3.7 Others
10.3.7.1 Market Trends
10.3.7.2 Market Forecast
10.4 Latin America
10.4.1 Brazil
10.4.1.1 Market Trends
10.4.1.2 Market Forecast
10.4.2 Mexico
10.4.2.1 Market Trends
10.4.2.2 Market Forecast
10.4.3 Others
10.4.3.1 Market Trends
10.4.3.2 Market Forecast
10.5 Middle East and Africa
10.5.1 Market Trends
10.5.2 Market Breakup by Country
10.5.3 Market Forecast

11 SWOT Analysis
11.1 Overview
11.2 Strengths
11.3 Weaknesses
11.4 Opportunities
11.5 Threats

12 Value Chain Analysis

13 Porters Five Forces Analysis
13.1 Overview
13.2 Bargaining Power of Buyers
13.3 Bargaining Power of Suppliers
13.4 Degree of Competition
13.5 Threat of New Entrants
13.6 Threat of Substitutes

14 Competitive Landscape
14.1 Market Structure
14.2 Key Players
14.3 Profiles of Key Players
14.3.1 Amazon Web Services (AWS)
14.3.1.1 Company Overview
14.3.1.2 Product Portfolio
14.3.2 Google Inc.
14.3.2.1 Company Overview
14.3.2.2 Product Portfolio
14.3.2.3 SWOT Analysis
14.3.3 IBM
14.3.3.1 Company Overview
14.3.3.2 Product Portfolio
14.3.4 Intel
14.3.4.1 Company Overview
14.3.4.2 Product Portfolio
14.3.4.3 Financials
14.3.4.3 SWOT Analysis
14.3.5 Micron Technology
14.3.5.1 Company Overview
14.3.5.2 Product Portfolio
14.3.5.3 Financials
14.3.5.3 SWOT Analysis
14.3.6 Microsoft Corporation
14.3.6.1 Company Overview
14.3.6.2 Product Portfolio
14.3.6.3 Financials
14.3.6.3 SWOT Analysis
14.3.7 Nvidia
14.3.7.1 Company Overview
14.3.7.2 Product Portfolio
14.3.7.3 Financials
14.3.7.3 SWOT Analysis
14.3.8 Qualcomm
14.3.8.1 Company Overview
14.3.8.2 Product Portfolio
14.3.8.3 Financials
14.3.8.3 SWOT Analysis
14.3.9 Samsung Electronics
14.3.9.1 Company Overview
14.3.9.2 Product Portfolio
14.3.10 Sensory Inc.
14.3.10.1 Company Overview
14.3.10.2 Product Portfolio
14.3.11 Pathmind Inc.
14.3.11.1 Company Overview
14.3.11.2 Product Portfolio
14.3.12 Xilinx
14.3.12.1 Company Overview
14.3.12.2 Product Portfolio
14.3.12.3 Financials
14.3.12.3 SWOT Analysis

For more information about this report visit https://www.researchandmarkets.com/r/3pyo4x

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