The global deep learning market size reached US$ 17.2 Billion in 2022. Looking forward, the analyst expects the market to reach US$ 113.0 Billion by 2028, exhibiting a CAGR of 36.85% during 2022-2028.
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.
2. What is the expected growth rate of the global deep learning market during 2023-2028?
3. What has been the impact of COVID-19 on the global deep learning market?
4. What are the key factors driving the global deep learning market?
5. What is the breakup of the global deep learning market based on the product type?
6. What is the breakup of the global deep learning market based on the application?
7. What is the breakup of the global deep learning market based on the end-use industry?
8. What are the key regions in the global deep learning market?
9. Who are the key players/companies in the global deep learning market?
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.
Key Market Segmentation:
The analyst provides an analysis of the key trends in each sub-segment of the global deep learning market report, along with forecasts at the global, regional and country level from 2023-2028. Our report has categorized the market based on product type, application, end-use industry and architecture.Breakup by Product Type:
- Software
- Services
- Hardware
Breakup by Application:
- Image Recognition
- Signal Recognition
- Data Mining
- Others
Breakup by End-Use Industry:
- Security
- Manufacturing
- Retail
- Automotive
- Healthcare
- Agriculture
- Others
Breakup by Architecture:
- RNN
- CNN
- DBN
- DSN
- GRU
Breakup by Region:
- North America
- United States
- Canada
- Asia Pacific
- China
- Japan
- India
- South Korea
- Australia
- Indonesia
- Others
- Europe
- Germany
- France
- United Kingdom
- Italy
- Spain
- Russia
- Others
- Latin America
- Brazil
- Mexico
- Others
- Middle East and Africa
Competitive Landscape:
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. What was the size of the global deep learning market in 2022?2. What is the expected growth rate of the global deep learning market during 2023-2028?
3. What has been the impact of COVID-19 on the global deep learning market?
4. What are the key factors driving the global deep learning market?
5. What is the breakup of the global deep learning market based on the product type?
6. What is the breakup of the global deep learning market based on the application?
7. What is the breakup of the global deep learning market based on the end-use industry?
8. What are the key regions in the global deep learning market?
9. Who are the key players/companies in the global deep learning market?
Table of Contents
1 Preface2 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 Impact of COVID-19
5.4 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
14.3.4.4 SWOT Analysis
14.3.5 Micron Technology
14.3.5.1 Company Overview
14.3.5.2 Product Portfolio
14.3.5.3 Financials
14.3.5.4 SWOT Analysis
14.3.6 Microsoft Corporation
14.3.6.1 Company Overview
14.3.6.2 Product Portfolio
14.3.6.3 Financials
14.3.6.4 SWOT Analysis
14.3.7 Nvidia
14.3.7.1 Company Overview
14.3.7.2 Product Portfolio
14.3.7.3 Financials
14.3.7.4 SWOT Analysis
14.3.8 Qualcomm
14.3.8.1 Company Overview
14.3.8.2 Product Portfolio
14.3.8.3 Financials
14.3.8.4 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
14.3.12.4 SWOT Analysis
List of Figures
Figure 1: Global: Deep Learning Market: Major Drivers and Challenges
Figure 2: Global: Deep Learning Market: Sales Value (in Billion US$), 2017-2022
Figure 3: Global: Deep Learning Market: Breakup by Product Type (in %), 2022
Figure 4: Global: Deep Learning Market: Breakup by Application (in %), 2022
Figure 5: Global: Deep Learning Market: Breakup by End-Use Industry (in %), 2022
Figure 6: Global: Deep Learning Market: Breakup by Architecture (in %), 2022
Figure 7: Global: Deep Learning Market: Breakup by Region (in %), 2022
Figure 8: Global: Deep Learning Market Forecast: Sales Value (in Billion US$), 2023-2028
Figure 9: Global: Deep Learning (Software) Market: Sales Value (in Million US$), 2017 & 2022
Figure 10: Global: Deep Learning (Software) Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 11: Global: Deep Learning (Services) Market: Sales Value (in Million US$), 2017 & 2022
Figure 12: Global: Deep Learning (Services) Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 13: Global: Deep Learning (Hardware) Market: Sales Value (in Million US$), 2017 & 2022
Figure 14: Global: Deep Learning (Hardware) Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 15: Global: Deep Learning (Image Recognition) Market: Sales Value (in Million US$), 2017 & 2022
Figure 16: Global: Deep Learning (Image Recognition) Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 17: Global: Deep Learning (Signal Recognition) Market: Sales Value (in Million US$), 2017 & 2022
Figure 18: Global: Deep Learning (Signal Recognition) Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 19: Global: Deep Learning (Data Mining) Market: Sales Value (in Million US$), 2017 & 2022
Figure 20: Global: Deep Learning (Data Mining) Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 21: Global: Deep Learning (Other Applications) Market: Sales Value (in Million US$), 2017 & 2022
Figure 22: Global: Deep Learning (Other Applications) Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 23: Global: Deep Learning (Security) Market: Sales Value (in Million US$), 2017 & 2022
Figure 24: Global: Deep Learning (Security) Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 25: Global: Deep Learning (Manufacturing) Market: Sales Value (in Million US$), 2017 & 2022
Figure 26: Global: Deep Learning (Manufacturing) Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 27: Global: Deep Learning (Retail) Market: Sales Value (in Million US$), 2017 & 2022
Figure 28: Global: Deep Learning (Retail) Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 29: Global: Deep Learning (Automotive) Market: Sales Value (in Million US$), 2017 & 2022
Figure 30: Global: Deep Learning (Automotive) Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 31: Global: Deep Learning (Healthcare) Market: Sales Value (in Million US$), 2017 & 2022
Figure 32: Global: Deep Learning (Healthcare) Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 33: Global: Deep Learning (Agriculture) Market: Sales Value (in Million US$), 2017 & 2022
Figure 34: Global: Deep Learning (Agriculture) Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 35: Global: Deep Learning (Other End-Use Industries) Market: Sales Value (in Million US$), 2017 & 2022
Figure 36: Global: Deep Learning (Other End-Use Industries) Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 37: Global: Deep Learning (RNN) Market: Sales Value (in Million US$), 2017 & 2022
Figure 38: Global: Deep Learning (RNN) Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 39: Global: Deep Learning (CNN) Market: Sales Value (in Million US$), 2017 & 2022
Figure 40: Global: Deep Learning (CNN) Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 41: Global: Deep Learning (DBN) Market: Sales Value (in Million US$), 2017 & 2022
Figure 42: Global: Deep Learning (DBN) Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 43: Global: Deep Learning (DSN) Market: Sales Value (in Million US$), 2017 & 2022
Figure 44: Global: Deep Learning (DSN) Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 45: Global: Deep Learning (GRU) Market: Sales Value (in Million US$), 2017 & 2022
Figure 46: Global: Deep Learning (GRU) Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 47: North America: Deep Learning Market: Sales Value (in Million US$), 2017 & 2022
Figure 48: North America: Deep Learning Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 49: United States: Deep Learning Market: Sales Value (in Million US$), 2017 & 2022
Figure 50: United States: Deep Learning Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 51: Canada: Deep Learning Market: Sales Value (in Million US$), 2017 & 2022
Figure 52: Canada: Deep Learning Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 53: Asia Pacific: Deep Learning Market: Sales Value (in Million US$), 2017 & 2022
Figure 54: Asia Pacific: Deep Learning Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 55: China: Deep Learning Market: Sales Value (in Million US$), 2017 & 2022
Figure 56: China: Deep Learning Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 57: Japan: Deep Learning Market: Sales Value (in Million US$), 2017 & 2022
Figure 58: Japan: Deep Learning Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 59: India: Deep Learning Market: Sales Value (in Million US$), 2017 & 2022
Figure 60: India: Deep Learning Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 61: South Korea: Deep Learning Market: Sales Value (in Million US$), 2017 & 2022
Figure 62: South Korea: Deep Learning Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 63: Australia: Deep Learning Market: Sales Value (in Million US$), 2017 & 2022
Figure 64: Australia: Deep Learning Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 65: Indonesia: Deep Learning Market: Sales Value (in Million US$), 2017 & 2022
Figure 66: Indonesia: Deep Learning Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 67: Others: Deep Learning Market: Sales Value (in Million US$), 2017 & 2022
Figure 68: Others: Deep Learning Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 69: Europe: Deep Learning Market: Sales Value (in Million US$), 2017 & 2022
Figure 70: Europe: Deep Learning Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 71: Germany: Deep Learning Market: Sales Value (in Million US$), 2017 & 2022
Figure 72: Germany: Deep Learning Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 73: France: Deep Learning Market: Sales Value (in Million US$), 2017 & 2022
Figure 74: France: Deep Learning Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 75: United Kingdom: Deep Learning Market: Sales Value (in Million US$), 2017 & 2022
Figure 76: United Kingdom: Deep Learning Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 77: Italy: Deep Learning Market: Sales Value (in Million US$), 2017 & 2022
Figure 78: Italy: Deep Learning Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 79: Spain: Deep Learning Market: Sales Value (in Million US$), 2017 & 2022
Figure 80: Spain: Deep Learning Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 81: Russia: Deep Learning Market: Sales Value (in Million US$), 2017 & 2022
Figure 82: Russia: Deep Learning Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 83: Others: Deep Learning Market: Sales Value (in Million US$), 2017 & 2022
Figure 84: Others: Deep Learning Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 85: Latin America: Deep Learning Market: Sales Value (in Million US$), 2017 & 2022
Figure 86: Latin America: Deep Learning Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 87: Brazil: Deep Learning Market: Sales Value (in Million US$), 2017 & 2022
Figure 88: Brazil: Deep Learning Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 89: Mexico: Deep Learning Market: Sales Value (in Million US$), 2017 & 2022
Figure 90: Mexico: Deep Learning Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 91: Others: Deep Learning Market: Sales Value (in Million US$), 2017 & 2022
Figure 92: Others: Deep Learning Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 93: Middle East and Africa: Deep Learning Market: Sales Value (in Million US$), 2017 & 2022
Figure 94: Middle East and Africa: Deep Learning Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 95: Global: Deep Learning Industry: SWOT Analysis
Figure 96: Global: Deep Learning Industry: Value Chain Analysis
Figure 97: Global: Deep Learning Industry: Porter’s Five Forces Analysis
List of Tables
Table 1: Global: Deep Learning Market: Key Industry Highlights, 2022 and 2028
Table 2: Global: Deep Learning Market Forecast: Breakup by Product Type (in Million US$), 2023-2028
Table 3: Global: Deep Learning Market Forecast: Breakup by Application (in Million US$), 2023-2028
Table 4: Global: Deep Learning Market Forecast: Breakup by End-Use Industry (in Million US$), 2023-2028
Table 5: Global: Deep Learning Market Forecast: Breakup by Architecture (in Million US$), 2023-2028
Table 6: Global: Deep Learning Market Forecast: Breakup by Region (in Million US$), 2023-2028
Table 7: Global: Deep Learning Market: Competitive Structure
Table 8: Global: Deep Learning Market: Key Players
Companies Mentioned
- Amazon Web Services (AWS)
- Google Inc.
- IBM
- Intel
- Micron Technology
- Microsoft Corporation
- Nvidia
- Qualcomm
- Samsung Electronics
- Sensory Inc.
- Pathmind Inc.
- Xilinx
Methodology
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