Deep Learning - Global Market Outlook (2017-2023)

Deep Learning - Global Market Outlook (2017-2023)

  • Published: September 2017
  • ID: SMRC16674

According to Stratistics MRC, the Global Deep Learning Market is accounted for $1.95 billion in 2016 and is expected to reach $72.10 billion by 2023 growing at a CAGR of 67.4% during the forecast period. One of the major factors that will have a positive impact on the growth of this market includes the rising usage of deep learning technology among various industries such as automotive, advertisement, medical and others. Moreover, increasing acceptance of cloud based technology, high usage of deep learning in big data analytics, high R&D expansions for enhanced processing hardware for deep learning and rising applicability in healthcare and autonomous vehicles are fueling the market growth.

However, rising difficulty in hardware owing to composite algorithm used in deep learning technology is acting as key barrier for the market. Moreover, the market has tremendous growth opportunity such as utilization of deep learning technology in smartphones and medical image analysis. On the other hand, setback in approval of neuromorphic technology for deep learning and development of algorithms’ at a faster pace when compared with its hardware.

Depending on application, data mining segment is anticipated to grow at a highest CAGR during the forecast period attributed to growing utilization of deep learning in cybersecurity and database systems and data analytics. By geography, North America commanded the largest market share due to the rising investments in neural networks and artificial intelligence.

Some of the key players in this market include General Vision Inc., Sensory Inc., Baidu Inc., Nvidia Corporation, Intel Corporation, Google Inc., Skymind, Qualcomm Technologies, Inc, Hewlett Packard Enterprise, Microsoft Corporation, IBM Corporation, Advanced Micro, Devices, Inc., Clarifai, Inc., HyperVerge and Entilic.

Solutions Covered:
• Services
• Hardware
• Software

Applications Covered:
• Data Mining
• Image Recognition
• Signal Recognition
• Video Surveillance & Diagnostics
• Other Applications

Hardware Components Covered:
• Application-Specific Integration Circuit (ASIC)
• Graphics Processing Unit (GPU)
• Field Programmable Gate Array (FPGA)
• Central Processing Unit (CPU)

End Users Covered:
• Oil, Gas, & Energy
• Finance
• Industrial
• Medical
• Aerospace & Defense
• Retail
• Media & Advertising
• Automotive
• IT & Telecom
• Agriculture
• Education
• Other End Users

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan       
    • China       
    • India       
    • Australia 
    • New Zealand     
    • South Korea      
    • Rest of Asia Pacific   
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • Rest of Middle East & Africa

What our report offers:
- Market share assessments for the regional and country level segments
- Market share analysis of the top industry players
- Strategic recommendations for the new entrants
- Market forecasts for a minimum of 7 years of all the mentioned segments, sub segments and the regional markets
- Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
- Strategic recommendations in key business segments based on the market estimations
- Competitive landscaping mapping the key common trends
- Company profiling with detailed strategies, financials, and recent developments
- Supply chain trends mapping the latest technological advancements

1 Executive Summary   
     
2 Preface   
 
 2.1 Abstract   
 2.2 Stake Holders  
 2.3 Research Scope  
 2.4 Research Methodology 
  2.4.1 Data Mining 
  2.4.2 Data Analysis 
  2.4.3 Data Validation 
  2.4.4 Research Approach 
 2.5 Research Sources  
  2.5.1 Primary Research Sources
  2.5.2 Secondary Research Sources
  2.5.3 Assumptions 
     
3 Market Trend Analysis  
 3.1 Introduction  
 3.2 Drivers   
 3.3 Restraints  
 3.4 Opportunities  
 3.5 Threats   
 3.6 Application Analysis 
 3.7 End User Analysis  
 3.8 Emerging Markets  
 3.9 Futuristic Market Scenario 
     
4 Porters Five Force Analysis  
 4.1 Bargaining power of suppliers 
 4.2 Bargaining power of buyers 
 4.3 Threat of substitutes 
 4.4 Threat of new entrants 
 4.5 Competitive rivalry  
     
5 Global Deep Learning Market, By Solution
 5.1 Introduction   
 5.2 Services   
  5.2.1 Maintenance & Support Services
  5.2.2 Installation Services
  5.2.3 Integration Services 
 5.3 Hardware  
  5.3.1 Von Neumann Architecture-Based Chips
  5.3.2 Neuromorphic Architecture-Based Chips
 5.4 Software   
     
6 Global Deep Learning Market, By Application
 6.1 Introduction   
 6.2 Data Mining  
  6.2.1 Bioinformatics 
  6.2.2 Fingerprint Identification
  6.2.3 Sentiment Analysis 
  6.2.4 Cyber Security 
  6.2.5 Machine Translation
 6.3 Image Recognition  
  6.3.1 Robotics  
  6.3.2 Security/Video Surveillance
  6.3.3 Machine Vision 
  6.3.4 Smart Motion 
  6.3.5 Medical & Satellite Imaging
 6.4 Signal Recognition   
  6.4.1 Voice Identification 
  6.4.2 Speech Recognition 
  6.4.3 Vibration Monitoring
  6.4.4 EEG/EKG/ECG 
  6.4.5 Radar/Sonar 
  6.4.6 Others  
 6.5 Video Surveillance & Diagnostics
 6.6 Other Applications  
     
7 Global Deep Learning Market, By Hardware Component
 7.1 Introduction   
 7.2 Application-Specific Integration Circuit (ASIC)
 7.3 Graphics Processing Unit (GPU)
 7.4 Field Programmable Gate Array (FPGA)
 7.5 Central Processing Unit (CPU) 
     
8 Global Deep Learning Market, By End User
 8.1 Introduction   
 8.2 Oil, Gas, & Energy  
 8.3 Finance   
 8.4 Industrial   
 8.5 Medical   
 8.6 Aerospace & Defense  
 8.7 Retail   
 8.8 Media & Advertising  
 8.9 Automotive  
 8.10 IT & Telecom   
 8.11 Agriculture  
 8.12 Education  
 8.13 Other End Users  
     
9 Global Deep Learning Market, By Geography
 9.1 Introduction   
 9.2 North America  
  9.2.1 US  
  9.2.2 Canada  
  9.2.3 Mexico  
 9.3 Europe   
  9.3.1 Germany   
  9.3.2 U.K.  
  9.3.3 Italy  
  9.3.4 France  
  9.3.5 Spain   
  9.3.6 Rest of Europe 
 9.4 Asia Pacific  
  9.4.1 Japan  
  9.4.2 China  
  9.4.3 India  
  9.4.4 Australia  
  9.4.5 New Zealand 
  9.4.6 South Korea 
  9.4.7 Rest of Asia Pacific 
 9.5 South America  
  9.5.1 Argentina 
  9.5.2 Brazil  
  9.5.3 Chile  
  9.5.4 Rest of South America
 9.6 Middle East & Africa 
  9.6.1 Saudi Arabia 
  9.6.2 UAE  
  9.6.3 Qatar  
  9.6.4 South Africa 
  9.6.5 Rest of Middle East & Africa
     
10 Key Developments   
 10.1 Agreements, Partnerships, Collaborations and Joint Ventures
 10.2 Acquisitions & Mergers 
 10.3 New Product Launch 
 10.4 Expansions  
 10.5 Other Key Strategies 
     
11 Company Profiling   
 11.1 General Vision Inc.  
 11.2 Sensory Inc.  
 11.3 Baidu Inc.   
 11.4 Nvidia Corporation  
 11.5 Intel Corporation  
 11.6 Google Inc.   
 11.7 Skymind   
 11.8 Qualcomm Technologies, Inc  
 11.9 Hewlett Packard Enterprise  
 11.10 Microsoft Corporation  
 11.11 IBM Corporation   
 11.12 Advanced Micro Devices, Inc. 
 11.13 Clarifai, Inc.  
 11.14 HyperVerge  
 11.15 Entilic   


List Of Tables    
1 Global Deep Learning Market Outlook, By Region (2014-2023) ($MN)
2 Global Deep Learning Market Outlook, By Solution (2014-2023) ($MN)
3 Global Deep Learning Market Outlook, By Services (2014-2023) ($MN)
4 Global Deep Learning Market Outlook, By Maintenance & Support Services (2014-2023) ($MN)
5 Global Deep Learning Market Outlook, By Installation Services (2014-2023) ($MN)
6 Global Deep Learning Market Outlook, By Integration Services (2014-2023) ($MN)
7 Global Deep Learning Market Outlook, By Hardware (2014-2023) ($MN)
8 Global Deep Learning Market Outlook, By Von Neumann Architecture-Based Chips (2014-2023) ($MN)
9 Global Deep Learning Market Outlook, By Neuromorphic Architecture-Based Chips (2014-2023) ($MN)
10 Global Deep Learning Market Outlook, By Software (2014-2023) ($MN)
11 Global Deep Learning Market Outlook, By Application (2014-2023) ($MN)
12 Global Deep Learning Market Outlook, By Data Mining (2014-2023) ($MN)
13 Global Deep Learning Market Outlook, By Bioinformatics (2014-2023) ($MN)
14 Global Deep Learning Market Outlook, By Fingerprint Identification (2014-2023) ($MN)
15 Global Deep Learning Market Outlook, By Sentiment Analysis (2014-2023) ($MN)
16 Global Deep Learning Market Outlook, By Cyber Security (2014-2023) ($MN)
17 Global Deep Learning Market Outlook, By Machine Translation (2014-2023) ($MN)
18 Global Deep Learning Market Outlook, By Image Recognition (2014-2023) ($MN)
19 Global Deep Learning Market Outlook, By Robotics (2014-2023) ($MN)
20 Global Deep Learning Market Outlook, By Security/Video Surveillance (2014-2023) ($MN)
21 Global Deep Learning Market Outlook, By Machine Vision (2014-2023) ($MN)
22 Global Deep Learning Market Outlook, By Smart Motion (2014-2023) ($MN)
23 Global Deep Learning Market Outlook, By Medical & Satellite Imaging (2014-2023) ($MN)
24 Global Deep Learning Market Outlook, By Signal Recognition  (2014-2023) ($MN)
25 Global Deep Learning Market Outlook, By Voice Identification (2014-2023) ($MN)
26 Global Deep Learning Market Outlook, By Speech Recognition (2014-2023) ($MN)
27 Global Deep Learning Market Outlook, By Vibration Monitoring (2014-2023) ($MN)
28 Global Deep Learning Market Outlook, By EEG/EKG/ECG (2014-2023) ($MN)
29 Global Deep Learning Market Outlook, By Radar/Sonar (2014-2023) ($MN)
30 Global Deep Learning Market Outlook, By Others (2014-2023) ($MN)
31 Global Deep Learning Market Outlook, By Video Surveillance & Diagnostics (2014-2023) ($MN)
32 Global Deep Learning Market Outlook, By Other Applications (2014-2023) ($MN)
33 Global Deep Learning Market Outlook, By Hardware Component (2014-2023) ($MN)
34 Global Deep Learning Market Outlook, By Application-Specific Integration Circuit (ASIC) (2014-2023) ($MN)
35 Global Deep Learning Market Outlook, By Graphics Processing Unit (GPU) (2014-2023) ($MN)
36 Global Deep Learning Market Outlook, By Field Programmable Gate Array (FPGA) (2014-2023) ($MN)
37 Global Deep Learning Market Outlook, By Central Processing Unit (CPU) (2014-2023) ($MN)
38 Global Deep Learning Market Outlook, By End User (2014-2023) ($MN)
39 Global Deep Learning Market Outlook, By Oil, Gas, & Energy (2014-2023) ($MN)
40 Global Deep Learning Market Outlook, By Finance (2014-2023) ($MN)
41 Global Deep Learning Market Outlook, By Industrial (2014-2023) ($MN)
42 Global Deep Learning Market Outlook, By Medical (2014-2023) ($MN)
43 Global Deep Learning Market Outlook, By Aerospace & Defense  (2014-2023) ($MN)
44 Global Deep Learning Market Outlook, By Retail (2014-2023) ($MN)
45 Global Deep Learning Market Outlook, By Media & Advertising (2014-2023) ($MN)
46 Global Deep Learning Market Outlook, By Automotive (2014-2023) ($MN)
47 Global Deep Learning Market Outlook, By IT & Telecom (2014-2023) ($MN)
48 Global Deep Learning Market Outlook, By Agriculture (2014-2023) ($MN)
49 Global Deep Learning Market Outlook, By Education (2014-2023) ($MN)
50 Global Deep Learning Market Outlook, By Other End Users (2014-2023) ($MN)
     

Note: Tables for North America, Europe, APAC, South America and Middle East & Africa Regions are also represented in the same manner as above

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