Deep Learning Market Segmentation Tab
Deep Learning Market By Component Outlook (USD Billion, 2022-2032)
Hardware
Software
Services
Deep Learning Market By Application Outlook (USD Billion, 2022-2032)
Image Recognition
Data Mining
Signal Recognition
Deep Learning Market By End-Users Outlook (USD Billion, 2022-2032)
Security
Manufacturing
BFSI
Healthcare
Agriculture
Deep Learning Market Regional Outlook (USD Billion, 2022-2032)
North America Outlook (USD Billion, 2022-2032)
North America Deep Learning Market By Component
Hardware
Software
Services
North America Deep Learning Market Application
Image Recognition
Data Mining
Signal Recognition
North America Deep Learning Market By Deployment
Security
Manufacturing
BFSI
Healthcare
Agriculture
US Outlook (USD Billion, 2022-2032)
US Deep Learning Market By Component
Hardware
Software
Services
US Deep Learning Market Application
Image Recognition
Data Mining
Signal Recognition
US Deep Learning Market By Deployment
Security
Manufacturing
BFSI
Healthcare
Agriculture
CANADA Outlook (USD Billion, 2022-2032)
CANADA Deep Learning Market By Component
Hardware
Software
Services
CANADA Deep Learning Market Application
Image Recognition
Data Mining
Signal Recognition
CANADA Deep Learning Market By Deployment
Security
Manufacturing
BFSI
Healthcare
Agriculture
Europe Outlook (USD Billion, 2022-2032)
Europe Deep Learning Market By Component
Hardware
Software
Services
Europe Deep Learning Market Application
Image Recognition
Data Mining
Signal Recognition
Europe Deep Learning Market By Deployment
Security
Manufacturing
BFSI
Healthcare
Agriculture
Germany Outlook (USD Billion, 2022-2032)
Germany Deep Learning Market By Component
Hardware
Software
Services
Germany Deep Learning Market Application
Image Recognition
Data Mining
Signal Recognition
Germany Deep Learning Market By Deployment
Security
Manufacturing
BFSI
Healthcare
Agriculture
France Outlook (USD Billion, 2022-2032)
France Deep Learning Market By Component
Hardware
Software
Services
France Deep Learning Market Application
Image Recognition
Data Mining
Signal Recognition
France Deep Learning Market By Deployment
Security
Manufacturing
BFSI
Healthcare
Agriculture
UK Outlook (USD Billion, 2022-2032)
UK Deep Learning Market By Component
Hardware
Software
Services
UK Deep Learning Market Application
Image Recognition
Data Mining
Signal Recognition
UK Deep Learning Market By Deployment
Security
Manufacturing
BFSI
Healthcare
Agriculture
ITALY Outlook (USD Billion, 2022-2032)
ITALY Deep Learning Market By Component
Hardware
Software
Services
ITALY Deep Learning Market Application
Image Recognition
Data Mining
Signal Recognition
ITALY Deep Learning Market By Deployment
Security
Manufacturing
BFSI
Healthcare
Agriculture
SPAIN Outlook (USD Billion, 2022-2032)
Spain Deep Learning Market By Component
Hardware
Software
Services
Spain Deep Learning Market Application
Image Recognition
Data Mining
Signal Recognition
Spain Deep Learning Market By Deployment
Security
Manufacturing
BFSI
Healthcare
Agriculture
Rest Of Europe Outlook (USD Billion, 2022-2032)
Rest Of Europe Deep Learning Market By Component
Hardware
Software
Services
REST OF EUROPE Deep Learning Market Application
Image Recognition
Data Mining
Signal Recognition
REST OF EUROPE Deep Learning Market By Deployment
Security
Manufacturing
BFSI
Healthcare
Agriculture
Asia-Pacific Outlook (USD Billion, 2022-2032)
Asia-Pacific Deep Learning Market By Component
Hardware
Software
Services
Asia-Pacific Deep Learning Market Application
Image Recognition
Data Mining
Signal Recognition
Asia-Pacific Deep Learning Market By Deployment
Security
Manufacturing
BFSI
Healthcare
Agriculture
China Outlook (USD Billion, 2022-2032)
China Deep Learning Market By Component
Hardware
Software
Services
China Deep Learning Market Application
Image Recognition
Data Mining
Signal Recognition
China Deep Learning Market By Deployment
Security
Manufacturing
BFSI
Healthcare
Agriculture
Japan Outlook (USD Billion, 2022-2032)
Japan Deep Learning Market By Component
Hardware
Software
Services
Japan Deep Learning Market Application
Image Recognition
Data Mining
Signal Recognition
Japan Deep Learning Market By Deployment
Security
Manufacturing
BFSI
Healthcare
Agriculture
India Outlook (USD Billion, 2022-2032)
India Deep Learning Market By Component
Hardware
Software
Services
India Deep Learning Market Application
Image Recognition
Data Mining
Signal Recognition
India Deep Learning Market By Deployment
Security
Manufacturing
BFSI
Healthcare
Agriculture
Australia Outlook (USD Billion, 2022-2032)
Australia Deep Learning Market By Component
Hardware
Software
Services
Australia Deep Learning Market Application
Image Recognition
Data Mining
Signal Recognition
Australia Deep Learning Market By Deployment
Security
Manufacturing
BFSI
Healthcare
Agriculture
Rest of Asia-Pacific Outlook (USD Billion, 2022-2032)
Rest of Asia-Pacific Deep Learning Market By Component
Hardware
Software
Services
Rest of Asia-Pacific Deep Learning Market Application
Image Recognition
Data Mining
Signal Recognition
Rest of Asia-Pacific Deep Learning Market By Deployment
Security
Manufacturing
BFSI
Healthcare
Agriculture
Rest of the World Outlook (USD Billion, 2022-2032)
Rest of the World Deep Learning Market By Component
Hardware
Software
Services
Rest of the World Deep Learning Market Application
Image Recognition
Data Mining
Signal Recognition
Rest of the World Deep Learning Market By Deployment
Security
Manufacturing
BFSI
Healthcare
Agriculture
Middle East Outlook (USD Billion, 2022-2032)
Middle East Deep Learning Market By Component
Hardware
Software
Services
Middle East Deep Learning Market Application
Image Recognition
Data Mining
Signal Recognition
Middle East Deep Learning Market By Deployment
Security
Manufacturing
BFSI
Healthcare
Agriculture
Africa Outlook (USD Billion, 2022-2032)
Africa Deep Learning Market By Component
Hardware
Software
Services
Africa Deep Learning Market Application
Image Recognition
Data Mining
Signal Recognition
Africa Deep Learning Market By Deployment
Security
Manufacturing
BFSI
Healthcare
Agriculture
Latin America Outlook (USD Billion, 2022-2032)
Latin America Deep Learning Market By Component
Hardware
Software
Services
Latin America Deep Learning Market Application
Image Recognition
Data Mining
Signal Recognition
Latin America Deep Learning Market By Deployment
Security
Manufacturing
BFSI
Healthcare
Agriculture
Research Methodology on Deep Learning Market
1. Introduction
Deep Learning has gained momentum in recent years with its offerings in various application fields, such as image recognition, data processing, and other facets of Artificial Intelligence (AI). Its application has improved its implementation in various organizations across the sector, thus driving the growth of the Deep Learning Market.
This methodology provides an overview of the research approach and design adopted for studying the Deep Learning Market. It explains the techniques used to produce reliable results and ensures accurate analysis. In this section, the data analysis techniques are also explained at a detailed level to provide a comprehensive understanding of the research strategy.
2. Research Design
To determine the current and forecast market size and dynamics of the Global Deep Learning Market, the research report is conducted through primary and secondary research.
Primary Research
To conduct primary research, Market Research Future (MRFR) interacts with industry experts through interviews to collect and validate qualitative and quantitative information. Key opinion leaders, mostly from large companies and start-ups who are enabling technology, are consulted for the data collection process. Primary research also includes other activities such as analyzing product portfolios of the key players from the markets, observing and assessing industry-specific trends, and evaluating market shares, sizes, and segments.
Secondary Research
The research conducted under secondary research includes the collection and assessment of data from various industry-specific sources such as annual reports, press releases, and journals. In addition, the opinions of experienced market professionals, and surveys conducted by various business analysts and industry experts are used for data collection and analysis.
Moreover, the report also includes a detailed market analysis and market estimations based on the factors on which the global Deep Learning Market is segmented. This segmentation is conducted in detail based on the region, product and end-user sectors.
3. Data Collection and Analysis
The data is collected from sources such as industry reports, primary research, organization documents, journals, and white papers. The sources are primarily industry experts and company executives. The primary sources are used to conduct primary research and validate the secondary data. Secondary research sources include:
-Industry reports
-Technical and trade journals
-Company websites
-Conference Proceedings
-Government surveys
-Online Databases
Moreover, various data models such as Porter's Five Forces Model and SWOT analysis are used in the data analysis to identify and assess the market trends and opportunities in the global Deep Learning Market.
4. Market Estimation
Apart from primary and secondary research, the report is also based on market size estimation using top-down and bottom-up approaches. The top-down approach refers to the process of estimating the market size of the parent market, based on the various regions and different segments. Under the bottom-up approach, the researchers estimate the incremental changes in the market, which is further evaluated against the already existing data in the existing market.
The report also provides an in-depth analysis of the global Deep Learning Market trends, and opportunities, and estimates the market size to represent the overall market size. The report also provides the CAGR value of the overall market and a forecast of the market growth rate for the forecast period 2023 to 2030.
5. Data Validation
The validity of each data point is ascertained by completing multiple checks within the data collection, data analysis, and data refinement phases. The checks are designed to validate the accuracy of the data points and reduce the risk associated with estimates and forecasts. The data points are further validated using the triangulation method, where both the top-down and bottom-up approaches are used for validation.
6. Market Forecast
For the estimation and validation of the market value, a multi-layer approach is adopted. The market value for different segments and regions is estimated and validated using various data collection methods and assumptions. The key assumptions used for the market sizing are included in the report. In addition, the impact of different market dynamics such as drivers, restraints, and opportunities is also analyzed and their resonating effects are also included in the research report.
1 Executive Summary
2 Market Introduction
2.1 Definition 17
2.2 Scope Of The Study 17
2.3 Market Structure 17
3 Research Methodology
3.1 Research Process 19
3.2 List Of Assumptions 23
3.3 Forecast Model 24
4 Market Dynamics
4.1 Introduction 26
4.2 Drivers 27
4.2.1 Increasing Adoption Of Cloud-Based Services 27
4.2.2 Increasing Unstructured Data Leads To The Increasing Demand For Deep Learning Solutions 27
4.3 Restraint 28
4.3.1 Lack Of Technical Expertise 28
4.4 Opportunities 28
4.4.1 Advantages Of Deep Learning Solutions In Healthcare, Agriculture, And Marketing Automation Application 28
4.5 Value Chain Analysis 29
4.5.1 Design 29
4.5.2 Card/Processors 29
4.5.3 System & Software 30
4.5.4 End–Users & Services 30
4.6 Porter’s Five Forces Model 31
4.6.1 Threat Of New Entrants 31
4.6.2 Bargaining Power Of Suppliers 31
4.6.3 Bargaining Power Of Buyers 32
4.6.4 Threat Of Substitutes 32
4.6.5 Intensity Of Rivalry 32
4.7 Evolution Of Deep Learning 32
4.8 Deep Learning Life Cycle 34
4.8.1 Defining Project Objectives 34
4.8.2 Acquiring And Exploring Data 35
4.8.3 Data Modelling 35
4.8.4 Interpretation And Communication 35
4.8.5 Implementation, Documentation And Maintenance 35
4.9 Use Cases 36
4.9.1 Drug Discovery And Medical Treatment 36
4.9.2 Predictive Maintenance 36
4.9.3 Customer Service Management And Personalized Service Offerings 37
4.9.4 Logistics Optimization 37
4.9.5 Voice And Image Recognition 37
4.10 Deep Learning Architectures/ Models 38
4.10.1 Recurrent Neural Network (RNN) 38
4.10.2 Convolutional Neural Network (CNN) 38
4.10.3 Unsupervised Pretrained Network (UPN) 39
4.10.3.1 Deep Belief Network (DBN) 39
4.10.3.2 Generative Adversarial Network (GAN) 39
5 Global Deep Learning Market, By Component
5.1 Overview 41
5.1.1 Hardware 42
5.1.1.1 Processors 43
5.1.1.2 Memory 43
5.1.1.3 Network 43
5.1.2 Software 44
5.1.2.1 Solution 45
5.1.2.2 Platform 45
5.1.3 Services 46
5.1.3.1 Installation 47
5.1.3.2 Training 47
5.1.3.3 Support & Maintenance 47
6 Global Deep Learning Market, By Application
6.1 Introduction 49
6.1.1 Image Recognition 50
6.1.2 Data Mining 50
6.1.3 Signal Recognition 50
6.1.4 Others 50
7 Global Deep Learning Market, By End-User
7.1 Introduction 52
7.1.1 Security 53
7.1.2 Manufacturing 53
7.1.3 Retail 53
7.1.4 Automotive 53
7.1.5 Healthcare 54
7.1.6 Agriculture 54
7.1.7 Others 54
8 Global Deep Learning Market, By Region
8.1 Introduction 56
8.2 North America 57
8.2.1 US 63
8.2.2 Canada 66
8.2.3 Mexico 69
8.3 Europe 72
8.3.1 UK 78
8.3.2 Germany 81
8.3.3 Spain 84
8.3.4 France 87
8.3.5 Rest Of Europe 90
8.4 Asia-Pacific 93
8.4.1 China 100
8.4.2 Japan 103
8.4.3 Australia 106
8.4.4 India 109
8.4.5 Rest Of Asia-Pacific 112
8.5 Rest Of The World (ROW) 115
8.5.1 Middle East & Africa 121
8.5.2 South America 124
9 Competitive Landscape
9.1 Key Players Market Share Analysis, 2020 (%) 128
10 Company Profiles
10.1 Amazon Inc. 131
10.1.1 Company Overviews 131
10.1.2 Financial Overview 131
10.1.4 Key Developments 132
10.1.5 SWOT Analysis 132
10.1.6 Key Strategies 133
10.2 Intel Corporation 134
10.2.1 Company Overviews 134
10.2.2 Financial Overview 134
10.2.3 Products/Services/Solutions Offered 135
10.2.4 Key Developments 135
10.2.5 SWOT Analysis 136
10.2.6 Key Strategies 136
10.3 Samsung Electronics Co Ltd 137
10.3.1 Company Overviews 137
10.3.2 Financial Overview 137
10.3.4 Key Developments 138
10.3.5 SWOT Analysis 138
10.3.6 Key Strategies 138
10.4 Micron Technology 139
10.4.1 Company Overviews 139
10.4.2 Financial Overview 139
10.4.4 Key Developments 140
10.4.5 SWOT Analysis 141
10.4.6 Key Strategies 141
10.5 Sensory Inc 142
10.5.1 Company Overviews 142
10.5.3 Key Developments 142
10.5.4 SWOT Analysis 143
10.5.5 Key Strategies 143
10.6 Xilinx Inc 144
10.6.1 Company Overviews 144
10.6.2 Financial Overview 144
10.6.3 Products/Services/Solutions Offered 145
10.6.4 Key Developments 145
10.6.5 SWOT Analysis 145
10.6.6 Key Strategies 146
10.7 Google LLC 147
10.7.1 Company Overviews 147
10.7.2 Financial Overview 147
10.7.4 Key Developments 148
10.7.5 SWOT Analysis 149
10.7.6 Key Strategies 149
10.8 Mellanox Technologies 150
10.8.1 Company Overviews 150
10.8.2 Financial Overview 150
10.8.4 Key Developments 151
10.8.5 SWOT Analysis 151
10.8.6 Key Strategies 152
10.9 Adapteva, Inc. 153
10.9.1 Company Overviews 153
10.9.3 SWOT Analysis 153
10.10 Qualcomm Technologies Inc 154
10.10.1 Company Overviews 154
10.10.2 Financial Overview 154
10.10.4 Key Developments 155
10.10.5 SWOT Analysis 155
10.10.6 Key Strategies 156
10.11 NVIDIA Corporation 157
10.11.1 Company Overviews 157
10.11.2 Financial Overview 157
10.11.3 Products/Services/Solutions Offered 158
10.11.4 Key Developments 158
10.11.5 SWOT Analysis 159
10.11.6 Key Strategies 159
10.12 Baidu Inc 160
10.12.1 Company Overviews 160
10.12.2 Financial Overview 160
10.12.4 Key Developments 161
10.12.5 SWOT Analysis 161
10.12.6 Key Strategies 161
10.13 IBM Corporation 162
10.13.1 Company Overviews 162
10.13.2 Financial Overview 162
10.13.4 Key Developments 163
10.13.5 SWOT Analysis 163
10.13.6 Key Strategies 164
10.14 Advanced Micro Devices Inc 165
10.14.1 Company Overviews 165
10.14.2 Financial Overview 165
10.14.4 Key Developments 166
10.14.5 SWOT Analysis 167
10.14.6 Key Strategies 167
10.15 Tenstorrent 168
10.15.1 Company Overview 168
10.15.2 SProducts/Services/Solutions Offered 168
11 List Of Tables
TABLE 1 LIST OF ASSUMPTIONS 23
TABLE 2 GLOBAL DEEP LEARNING MARKET, BY COMPONENT, 2023-2032 (USD MILLION) 41
TABLE 3 GLOBAL DEEP LEARNING MARKET, BY HARDWARE, 2023-2032 (USD MILLION) 42
TABLE 4 GLOBAL DEEP LEARNING MARKET, BY SOFTWARE, 2023-2032 (USD MILLION) 44
TABLE 5 GLOBAL DEEP LEARNING MARKET, BY SERVICES, 2023-2032 (USD MILLION) 46
TABLE 6 GLOBAL DEEP LEARNING MARKET, BY APPLICATION, 2023-2032 (USD MILLION) 49
TABLE 7 GLOBAL DEEP LEARNING MARKET, BY END-USER, 2023-2032 (USD MILLION) 52
TABLE 8 GLOBAL DEEP LEARNING MARKET, BY REGION, 2023-2032 (USD MILLION) 56
TABLE 9 NORTH AMERICA: DEEP LEARNING MARKET, BY COUNTRY, 2023-2032 (USD MILLION) 57
TABLE 10 NORTH AMERICA: DEEP LEARNING MARKET, BY COMPONENT, 2023-2032 (USD MILLION) 58
TABLE 11 NORTH AMERICA: DEEP LEARNING MARKET, BY HARDWARE, 2023-2032 (USD MILLION) 59
TABLE 12 NORTH AMERICA: DEEP LEARNING MARKET, BY SOFTWARE, 2023-2032 (USD MILLION) 60
TABLE 13 NORTH AMERICA: DEEP LEARNING MARKET, BY SERVICES, 2023-2032 (USD MILLION) 60
TABLE 14 NORTH AMERICA: DEEP LEARNING MARKET, BY APPLICATION, 2023-2032 (USD MILLION) 61
TABLE 15 NORTH AMERICA: DEEP LEARNING MARKET, BY END-USER, 2023-2032 (USD MILLION) 62
TABLE 16 US: DEEP LEARNING MARKET, BY COMPONENT, 2023-2032 (USD MILLION) 63
TABLE 17 US: DEEP LEARNING MARKET, BY HARDWARE, 2023-2032 (USD MILLION) 63
TABLE 18 US: DEEP LEARNING MARKET, BY SOFTWARE, 2023-2032 (USD MILLION) 64
TABLE 19 US: DEEP LEARNING MARKET, BY SERVICES, 2023-2032 (USD MILLION) 64
TABLE 20 US: DEEP LEARNING MARKET, BY APPLICATION, 2023-2032 (USD MILLION) 65
TABLE 21 US: DEEP LEARNING MARKET, BY END-USER, 2023-2032 (USD MILLION) 65
TABLE 22 CANADA: DEEP LEARNING MARKET, BY COMPONENT, 2023-2032 (USD MILLION) 66
TABLE 23 CANADA: DEEP LEARNING MARKET, BY HARDWARE, 2023-2032 (USD MILLION) 66
TABLE 24 CANADA: DEEP LEARNING MARKET, BY SOFTWARE, 2023-2032 (USD MILLION) 67
TABLE 25 CANADA: DEEP LEARNING MARKET, BY SERVICES, 2023-2032 (USD MILLION) 67
TABLE 26 CANADA: DEEP LEARNING MARKET, BY APPLICATION, 2023-2032 (USD MILLION) 67
TABLE 27 CANADA: DEEP LEARNING MARKET, BY END-USER, 2023-2032 (USD MILLION) 68
TABLE 28 MEXICO: DEEP LEARNING MARKET, BY COMPONENT, 2023-2032 (USD MILLION) 69
TABLE 29 MEXICO: DEEP LEARNING MARKET, BY HARDWARE, 2023-2032 (USD MILLION) 69
TABLE 30 MEXICO: DEEP LEARNING MARKET, BY SOFTWARE, 2023-2032 (USD MILLION) 70
TABLE 31 MEXICO: DEEP LEARNING MARKET, BY SERVICES, 2023-2032 (USD MILLION) 70
TABLE 32 MEXICO: DEEP LEARNING MARKET, BY APPLICATION, 2023-2032 (USD MILLION) 70
TABLE 33 MEXICO: DEEP LEARNING MARKET, BY END-USER, 2023-2032 (USD MILLION) 71
TABLE 34 EUROPE: DEEP LEARNING MARKET, BY COUNTRY, 2023-2032 (USD MILLION) 73
TABLE 35 EUROPE: DEEP LEARNING MARKET, BY COMPONENT, 2023-2032 (USD MILLION) 73
TABLE 36 EUROPE: DEEP LEARNING MARKET, BY HARDWARE, 2023-2032 (USD MILLION) 74
TABLE 37 EUROPE: DEEP LEARNING MARKET, BY SOFTWARE, 2023-2032 (USD MILLION) 75
TABLE 38 EUROPE: DEEP LEARNING MARKET, BY SERVICES, 2023-2032 (USD MILLION) 76
TABLE 39 EUROPE: DEEP LEARNING MARKET, BY APPLICATION, 2023-2032 (USD MILLION) 76
TABLE 40 EUROPE: DEEP LEARNING MARKET, BY END-USER, 2023-2032 (USD MILLION) 77
TABLE 41 U.K: DEEP LEARNING MARKET, BY COMPONENT, 2023-2032 (USD MILLION) 78
TABLE 42 U.K: DEEP LEARNING MARKET, BY HARDWARE, 2023-2032 (USD MILLION) 78
TABLE 43 U.K: DEEP LEARNING MARKET, BY SOFTWARE, 2023-2032 (USD MILLION) 79
TABLE 44 U.K: DEEP LEARNING MARKET, BY SERVICES, 2023-2032 (USD MILLION) 79
TABLE 45 U.K: DEEP LEARNING MARKET, BY APPLICATION, 2023-2032 (USD MILLION) 80
TABLE 46 U.K: DEEP LEARNING MARKET, BY END-USER, 2023-2032 (USD MILLION) 80
TABLE 47 GERMANY: DEEP LEARNING MARKET, BY COMPONENT, 2023-2032 (USD MILLION) 81
TABLE 48 GERMANY: DEEP LEARNING MARKET, BY HARDWARE, 2023-2032 (USD MILLION) 81
TABLE 49 GERMANY: DEEP LEARNING MARKET, BY SOFTWARE, 2023-2032 (USD MILLION) 82
TABLE 50 GERMANY: DEEP LEARNING MARKET, BY SERVICES, 2023-2032 (USD MILLION) 82
TABLE 51 GERMANY: DEEP LEARNING MARKET, BY APPLICATION, 2023-2032 (USD MILLION) 82
TABLE 52 GERMANY: DEEP LEARNING MARKET, BY END-USER, 2023-2032 (USD MILLION) 83
TABLE 53 SPAIN: DEEP LEARNING MARKET, BY COMPONENT, 2023-2032 (USD MILLION) 84
TABLE 54 SPAIN: DEEP LEARNING MARKET, BY HARDWARE, 2023-2032 (USD MILLION) 84
TABLE 55 SPAIN: DEEP LEARNING MARKET, BY SOFTWARE, 2023-2032 (USD MILLION) 85
TABLE 56 SPAIN: DEEP LEARNING MARKET, BY SERVICES, 2023-2032 (USD MILLION) 85
TABLE 57 SPAIN: DEEP LEARNING MARKET, BY APPLICATION, 2023-2032 (USD MILLION) 85
TABLE 58 SPAIN: DEEP LEARNING MARKET, BY END-USER, 2023-2032 (USD MILLION) 86
TABLE 59 FRANCE: DEEP LEARNING MARKET, BY COMPONENT, 2023-2032 (USD MILLION) 87
TABLE 60 FRANCE: DEEP LEARNING MARKET, BY HARDWARE, 2023-2032 (USD MILLION) 87
TABLE 61 FRANCE: DEEP LEARNING MARKET, BY SOFTWARE, 2023-2032 (USD MILLION) 88
TABLE 62 FRANCE: DEEP LEARNING MARKET, BY SERVICES, 2023-2032 (USD MILLION) 88
TABLE 63 FRANCE: DEEP LEARNING MARKET, BY APPLICATION, 2023-2032 (USD MILLION) 88
TABLE 64 FRANCE: DEEP LEARNING MARKET, BY END-USER, 2023-2032 (USD MILLION) 89
TABLE 65 REST OF EUROPE: DEEP LEARNING MARKET, BY COMPONENT, 2023-2032 (USD MILLION) 90
TABLE 66 REST OF EUROPE: DEEP LEARNING MARKET, BY HARDWARE, 2023-2032 (USD MILLION) 90
TABLE 67 REST OF EUROPE: DEEP LEARNING MARKET, BY SOFTWARE, 2023-2032 (USD MILLION) 91
TABLE 68 REST OF EUROPE: DEEP LEARNING MARKET, BY SERVICES, 2023-2032 (USD MILLION) 91
TABLE 69 REST OF EUROPE: DEEP LEARNING MARKET, BY APPLICATION, 2023-2032 (USD MILLION) 91
TABLE 70 REST OF EUROPE: DEEP LEARNING MARKET, BY END-USER, 2023-2032 (USD MILLION) 92
TABLE 71 ASIA-PACIFIC: DEEP LEARNING MARKET, BY COUNTRY, 2023-2032 (USD MILLION) 93
TABLE 72 ASIA-PACIFIC: DEEP LEARNING MARKET, BY COMPONENT, 2023-2032 (USD MILLION) 94
TABLE 73 ASIA-PACIFIC: DEEP LEARNING MARKET, BY HARDWARE, 2023-2032 (USD MILLION) 95
TABLE 74 ASIA-PACIFIC: DEEP LEARNING MARKET, BY SOFTWARE, 2023-2032 (USD MILLION) 96
TABLE 75 ASIA-PACIFIC: DEEP LEARNING MARKET, BY SERVICES, 2023-2032 (USD MILLION) 97
TABLE 76 ASIA-PACIFIC: DEEP LEARNING MARKET, BY APPLICATION, 2023-2032 (USD MILLION) 98
TABLE 77 ASIA-PACIFIC: DEEP LEARNING MARKET, BY END-USER, 2023-2032 (USD MILLION) 99
TABLE 78 CHINA: DEEP LEARNING MARKET, BY COMPONENT, 2023-2032 (USD MILLION) 100
TABLE 79 CHINA: DEEP LEARNING MARKET, BY HARDWARE, 2023-2032 (USD MILLION) 100
TABLE 80 CHINA: DEEP LEARNING MARKET, BY SOFTWARE, 2023-2032 (USD MILLION) 101
TABLE 81 CHINA: DEEP LEARNING MARKET, BY SERVICES, 2023-2032 (USD MILLION) 101
TABLE 82 CHINA: DEEP LEARNING MARKET, BY APPLICATION, 2023-2032 (USD MILLION) 101
TABLE 83 CHINA: DEEP LEARNING MARKET, BY END-USER, 2023-2032 (USD MILLION) 102
TABLE 84 JAPAN: DEEP LEARNING MARKET, BY COMPONENT, 2023-2032 (USD MILLION) 103
TABLE 85 JAPAN: DEEP LEARNING MARKET, BY HARDWARE, 2023-2032 (USD MILLION) 103
TABLE 86 JAPAN: DEEP LEARNING MARKET, BY SOFTWARE, 2023-2032 (USD MILLION) 104
TABLE 87 JAPAN: DEEP LEARNING MARKET, BY SERVICES, 2023-2032 (USD MILLION) 104
TABLE 88 JAPAN: DEEP LEARNING MARKET, BY APPLICATION, 2023-2032 (USD MILLION) 104
TABLE 89 JAPAN: DEEP LEARNING MARKET, BY END-USER, 2023-2032 (USD MILLION) 105
TABLE 90 AUSTRALIA: DEEP LEARNING MARKET, BY COMPONENT, 2023-2032 (USD MILLION) 106
TABLE 91 AUSTRALIA: DEEP LEARNING MARKET, BY HARDWARE, 2023-2032 (USD MILLION) 106
TABLE 92 AUSTRALIA: DEEP LEARNING MARKET, BY SOFTWARE, 2023-2032 (USD MILLION) 107
TABLE 93 AUSTRALIA: DEEP LEARNING MARKET, BY SERVICES, 2023-2032 (USD MILLION) 107
TABLE 94 AUSTRALIA: DEEP LEARNING MARKET, BY APPLICATION, 2023-2032 (USD MILLION) 107
TABLE 95 AUSTRALIA: DEEP LEARNING MARKET, BY END-USER, 2023-2032 (USD MILLION) 108
TABLE 96 INDIA: DEEP LEARNING MARKET, BY COMPONENT, 2023-2032 (USD MILLION) 109
TABLE 97 INDIA: DEEP LEARNING MARKET, BY HARDWARE, 2023-2032 (USD MILLION) 109
TABLE 98 INDIA: DEEP LEARNING MARKET, BY SOFTWARE, 2023-2032 (USD MILLION) 110
TABLE 99 INDIA: DEEP LEARNING MARKET, BY SERVICES, 2023-2032 (USD MILLION) 110
TABLE 100 INDIA: DEEP LEARNING MARKET, BY APPLICATION, 2023-2032 (USD MILLION) 110
TABLE 101 INDIA: DEEP LEARNING MARKET, BY END-USER, 2023-2032 (USD MILLION) 111
TABLE 102 REST OF ASIA-PACIFIC: DEEP LEARNING MARKET, BY COMPONENT, 2023-2032 (USD MILLION) 112
TABLE 103 REST OF ASIA-PACIFIC: DEEP LEARNING MARKET, BY HARDWARE, 2023-2032 (USD MILLION) 112
TABLE 104 REST OF ASIA-PACIFIC: DEEP LEARNING MARKET, BY SOFTWARE, 2023-2032 (USD MILLION) 113
TABLE 105 REST OF ASIA-PACIFIC: DEEP LEARNING MARKET, BY SERVICES, 2023-2032 (USD MILLION) 113
TABLE 106 REST OF ASIA-PACIFIC: DEEP LEARNING MARKET, BY APPLICATION, 2023-2032 (USD MILLION) 113
TABLE 107 REST OF ASIA-PACIFIC: DEEP LEARNING MARKET, BY END-USER, 2023-2032 (USD MILLION) 114
TABLE 108 REST OF THE WORLD (ROW): DEEP LEARNING MARKET, BY REGION, 2023-2032 (USD MILLION) 115
TABLE 109 REST OF THE WORLD (ROW): DEEP LEARNING MARKET, BY COMPONENT, 2023-2032 (USD MILLION) 116
TABLE 110 REST OF THE WORLD (ROW): DEEP LEARNING MARKET, BY HARDWARE, 2023-2032 (USD MILLION) 117
TABLE 111 REST OF THE WORLD (ROW): DEEP LEARNING MARKET, BY SOFTWARE, 2023-2032 (USD MILLION) 117
TABLE 112 REST OF THE WORLD (ROW): DEEP LEARNING MARKET, BY SERVICES, 2023-2032 (USD MILLION) 118
TABLE 113 REST OF THE WORLD (ROW): DEEP LEARNING MARKET, BY APPLICATION, 2023-2032 (USD MILLION) 119
TABLE 114 REST OF THE WORLD (ROW): DEEP LEARNING MARKET, BY END-USER, 2023-2032 (USD MILLION) 120
TABLE 115 MIDDLE EAST & AFRICA: DEEP LEARNING MARKET, BY COMPONENT, 2023-2032 (USD MILLION) 121
TABLE 116 MIDDLE EAST & AFRICA: DEEP LEARNING MARKET, BY HARDWARE, 2023-2032 (USD MILLION) 121
TABLE 117 MIDDLE EAST & AFRICA: DEEP LEARNING MARKET, BY SOFTWARE, 2023-2032 (USD MILLION) 122
TABLE 118 MIDDLE EAST & AFRICA: DEEP LEARNING MARKET, BY SERVICES, 2023-2032 (USD MILLION) 122
TABLE 119 MIDDLE EAST & AFRICA: DEEP LEARNING MARKET, BY APPLICATION, 2023-2032 (USD MILLION) 122
TABLE 120 MIDDLE EAST & AFRICA: DEEP LEARNING MARKET, BY END-USER, 2023-2032 (USD MILLION) 123
TABLE 121 SOUTH AMERICA: DEEP LEARNING MARKET, BY COMPONENT, 2023-2032 (USD MILLION) 124
TABLE 122 SOUTH AMERICA: DEEP LEARNING MARKET, BY HARDWARE, 2023-2032 (USD MILLION) 124
TABLE 123 SOUTH AMERICA: DEEP LEARNING MARKET, BY SOFTWARE, 2023-2032 (USD MILLION) 125
TABLE 124 SOUTH AMERICA: DEEP LEARNING MARKET, BY SERVICES, 2023-2032 (USD MILLION) 125
TABLE 125 SOUTH AMERICA: DEEP LEARNING MARKET, BY APPLICATION, 2023-2032 (USD MILLION) 125
TABLE 126 SOUTH AMERICA: DEEP LEARNING MARKET, BY END-USER, 2023-2032 (USD MILLION) 126
12 List Of Figures
FIGURE 1 GLOBAL DEEP LEARNING MARKET: MARKET STRUCTURE 17
FIGURE 2 TOP DOWN & BOTTOM UP APPROACH 22
FIGURE 3 DROC ANALYSIS OF GLOBAL DEEP LEARNING MARKET 26
FIGURE 4 VALUE CHAIN ANALYSIS OF THE GLOBAL DEEP LEARNING MARKET 29
FIGURE 5 PORTER'S FIVE FORCES ANALYSIS OF THE GLOBAL DEEP LEARNING MARKET 31
FIGURE 6 DEEP LEARNING AND MACHINE LEARNING LIFE CYCLE 34
FIGURE 7 GLOBAL DEEP LEARNING MARKET, BY COMPONENT, 2023-2032 (USD MILLION) 41
FIGURE 8 GLOBAL DEEP LEARNING MARKET, BY HARDWARE, 2023-2032 (USD MILLION) 42
FIGURE 9 GLOBAL DEEP LEARNING MARKET, BY SOFTWARE, 2023-2032 (USD MILLION) 44
FIGURE 10 GLOBAL DEEP LEARNING MARKET, BY SERVICES, 2023-2032 (USD MILLION) 46
FIGURE 11 GLOBAL DEEP LEARNING MARKET, BY APPLICATION, 2023-2032 (USD MILLION) 49
FIGURE 12 GLOBAL DEEP LEARNING MARKET, BY END-USER, 2023-2032 (USD MILLION) 52
FIGURE 13 GLOBAL DEEP LEARNING MARKET, BY REGION, 2023-2032 (USD MILLION) 56
FIGURE 14 NORTH AMERICA: DEEP LEARNING MARKET, BY COUNTRY, 2023-2032 (USD MILLION) 57
FIGURE 15 NORTH AMERICA: DEEP LEARNING MARKET, BY COMPONENT, 2023-2032 (USD MILLION) 58
FIGURE 16 NORTH AMERICA: DEEP LEARNING MARKET, BY HARDWARE, 2023-2032 (USD MILLION) 59
FIGURE 17 NORTH AMERICA: DEEP LEARNING MARKET, BY SOFTWARE, 2023-2032 (USD MILLION) 59
FIGURE 18 NORTH AMERICA: DEEP LEARNING MARKET, BY SERVICES, 2023-2032 (USD MILLION) 60
FIGURE 19 NORTH AMERICA: DEEP LEARNING MARKET, BY APPLICATION, 2023-2032 (USD MILLION) 61
FIGURE 20 NORTH AMERICA: DEEP LEARNING MARKET, BY END-USER, 2023-2032 (USD MILLION) 62
FIGURE 21 EUROPE: DEEP LEARNING MARKET, BY COUNTRY, 2023-2032 (USD MILLION) 72
FIGURE 22 EUROPE: DEEP LEARNING MARKET, BY COMPONENT, 2023-2032 (USD MILLION) 73
FIGURE 23 EUROPE: DEEP LEARNING MARKET, BY HARDWARE, 2023-2032 (USD MILLION) 74
FIGURE 24 EUROPE: DEEP LEARNING MARKET, BY SOFTWARE, 2023-2032 (USD MILLION) 75
FIGURE 25 EUROPE: DEEP LEARNING MARKET, BY SERVICES, 2023-2032 (USD MILLION) 75
FIGURE 26 EUROPE: DEEP LEARNING MARKET, BY APPLICATION, 2023-2032 (USD MILLION) 76
FIGURE 27 EUROPE: DEEP LEARNING MARKET, BY END-USER, 2023-2032 (USD MILLION) 77
FIGURE 28 ASIA-PACIFIC: DEEP LEARNING MARKET, BY COUNTRY, 2023-2032 (USD MILLION) 93
FIGURE 29 ASIA-PACIFIC: DEEP LEARNING MARKET, BY COMPONENT, 2023-2032 (USD MILLION) 94
FIGURE 30 ASIA-PACIFIC: DEEP LEARNING MARKET, BY HARDWARE, 2023-2032 (USD MILLION) 95
FIGURE 31 ASIA-PACIFIC: DEEP LEARNING MARKET, BY SOFTWARE, 2023-2032 (USD MILLION) 96
FIGURE 32 ASIA-PACIFIC: DEEP LEARNING MARKET, BY SERVICES, 2023-2032 (USD MILLION) 96
FIGURE 33 ASIA-PACIFIC DEEP LEARNING MARKET, BY APPLICATION, 2023-2032 (USD MILLION) 98
FIGURE 34 ASIA-PACIFIC DEEP LEARNING MARKET, BY END-USER, 2023-2032 (USD MILLION) 99
FIGURE 35 REST OF THE WORLD (ROW): DEEP LEARNING MARKET, BY REGION, 2023-2032 (USD MILLION) 115
FIGURE 36 REST OF THE WORLD (ROW) DEEP LEARNING MARKET, BY COMPONENT, 2023-2032 (USD MILLION) 116
FIGURE 37 REST OF THE WORLD (ROW) DEEP LEARNING MARKET, BY HARDWARE, 2023-2032 (USD MILLION) 116
FIGURE 38 REST OF THE WORLD (ROW) DEEP LEARNING MARKET, BY SOFTWARE, 2023-2032 (USD MILLION) 117
FIGURE 39 REST OF THE WORLD (ROW) DEEP LEARNING MARKET, BY SERVICES, 2023-2032 (USD MILLION) 118
FIGURE 40 REST OF THE WORLD (ROW) DEEP LEARNING MARKET, BY APPLICATION, 2023-2032 (USD MILLION) 119
FIGURE 41 REST OF THE WORLD (ROW) DEEP LEARNING MARKET, BY END-USER, 2023-2032 (USD MILLION) 120
FIGURE 42 GLOBAL DEEP LEARNINGKEY PLAYERS MARKET SHARE, 2020 (%) 128
Research Analyst Level II With a technical background in information technology & semiconductors, shubham has 4.5+ years of experience in market research and analytics with the tasks of data mining, analysis, and project execution. he is the poc for our clients, for their consulting projects running under the ict/semiconductor domain. shubham holds a bachelor’s in information and technology and a master of business administration (mba). shubham has executed over 150 research projects for our clients under the brand name market research future in the last 2 years. his core skill is building the research respondent relation for gathering the primary information from industry and market estimation for niche markets. he is having expertise in conducting secondary & primary research, market estimations, market projections, competitive analysis, analysing current market trends and market dynamics, deep-dive analysis on market scenarios, consumer behaviour, technological impact analysis, consulting, analytics, etc. he has worked on fortune 500 companies' syndicate and consulting projects along with several government projects. he has worked on the projects of top tech brands such as ibm, google, microsoft, aws, meta, oracle, cisco systems, samsung, accenture, vmware, schneider electric, dell, hp, ericsson, and so many others. he has worked on metaverse, web 3.0, zero-trust security, cyber-security, blockchain, quantum computing, robotics, 5g technology, high-performance computing, data centers, ai, automation, it equipment, sensors, semiconductors, consumer electronics and so many tech domain projects.
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