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Home » ICT » ICT Services » IIC-8871217
  • Global Deep Learning Market Research Report Insights, Opportunity Analysis, Market Shares and Forecast, 2017 - 2024

  • Publish: December 2017 | Report Code: IIC-8871217

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Deep learning technology is also known as hierarchical learning or deep structured learning is a type of machine learning and involves learning data representation.  The global deep learning market is expected to have a CAGR of 65.4% during the forecasted period of 2016-2023.  The key factor responsible for the surging demand of deep learning in healthcare applications is the increasing usage of big data in healthcare industry. The medical research institutions and other academic institutions are using big data analytics for healthcare and medical research. This raw (unprocessed) big data is processed by big data analytics tools and analysed by data scientists, graduates, statisticians etc. The major application of big data in healthcare is Electronic Health Records (EHR). Every patient has its own digital record which comprises of medical history, allergies, demographics, laboratory test results etc. According to the Health Information Technology for Economic and Clinical Health (HITECH), by the end of 2016, 94% of hospitals in the U.S. have adopted the concept of the Electronic Health Records. According to National Center for Biotechnology Information (NCBI), the amount of big data in healthcare is expected to reach up to approximately 25,000 peta bytes by the end of 2020. Furthermore, big data applications in healthcare present new opportunities to discover new knowledge and create methods in order to enhance the quality of health care services. Therefore, the increasing usage of big data in healthcare industry is driving the growth of deep learning market. The enhancing demand for improved system and human interaction will boost the opportunities of growth in the deep learning market. The systems include a process in which they provide a deep domain view and deliver this information or data to the end users industry which includes IT & telecom, Medical, automotive and agriculture sector. For instance: in financial sector, the deep learning systems benefits the bank employees to enhance their work ability and focus on the customer behaviour & interaction. For instance: Deep learning is used in BFSI sector for risk management, fraud analytics, performance evaluation etc. The deep learning system also help in adapting the self-service and customized options for the consumers and support the employees in providing the materialistic recommendations to fulfil the customers need and controlling risks.

 

 

 

Source-OBRC Analysis

The report is widely categorized on the basis of market segments which include offerings, applications and end-user industry.

Applications of deep learning include:

  • Image Recognition
  • Signal Recognition
  • Data Mining
  • Others


Offerings of deep learning include:

  • Hardware
  • Software

End-users of deep learning include:

  • Aerospace & Defense
  • IT & Telecom
  • Medical
  • Automotive
  • Industrial
  • Media & Advertising
  • Finance
  • Retail
  • Oil, Gas and Energy
  • Others

The global report on this market is geographically segmented into:

  • North America (U.S. & Canada)
  • Asia Pacific (China, India, Japan, RoAPAC)
  • Europe (UK, France, Germany, RoE)
  • Rest of World


Geographically, North America is the largest market region for global deep learning market in terms of market revenue share. The key factors driving the market growth in North America is the exponential rise in the volumes of generated unstructured data generation on the by various industries verticals which includes financial services & banking, insurance, healthcare, retail and public sector. Moreover, the U.S. government is investing in the defence sector and the deep learning technology is being extensively used in the aerospace and defense industry which is expected to positively influence the market growth in North America.  For instance: in 2015, as per National Priorities Project, US military and defence spending was estimated to be $598.5 billion in 2015. Moreover, the presence of leading companies in U.S. such as IBM Corporation, Google, Apple Inc., Hewlett Packard etc. would drive the market growth. However, Asia Pacific is expected to emerge as the fastest growing market region during the forecast period 2016-2023 owing to the increasing government expenditure on the research and development of artificial intelligence and cognitive computing technologies.

The global report on this market covers segmentation analysis of offerings, applications and end-user industry. Report further covers segments of offerings which include hardware and software. Software is the dominating offering segment owing to the surging demand for deep learning solutions across various applications such as data analytics, autonomous car, cyber security, fraud detection etc. Hardware is the fastest offering segment surging demand for hardware platforms with a high computing power to run and execute deep learning algorithms. Report further covers segments of applications which include image recognition, signal recognition, data mining and others. Image recognition is the leading application segment as this technology is being extensively used pattern recognition, code recognition, optical character recognition, object recognition, digital image processing and facial recognition. While, data mining is the fastest growing application segment owing to its extensive adoption in data analytics, fraud detection, cyber security and database systems. Whereas, the end users of deep learning include Aerospace & Defense, IT & Telecom, medical, automotive, industrial, media & advertising, finance, retail, oil, gas and energy.  Medical is the fastest growing end user segment due to the extensive deployment of deep learning technology in drug discovery, processing medical images for diagnosis and treatment of chronic diseases such as cancer etc., and also to provide virtual patient assistance.

The major market players are:

  • IBM CORPORATION
  • MICROSOFT CORPORATION
  • GOOGLE INC.
  • INTEL CORPORATION
  • HEWLETT PACKARD
  • OTHERS

These companies using various strategies such as merger & acquisition, collaboration, partnership and product launch. Whereas, product and service launch are the key strategy adopted by the companies in the deep learning market.

For example: In August 2017, IBM Corporation launched software named Distributed Deep Learning (DDL) software library to speed up the deep learning process. Moreover, this deep learning software is a part of IBM’s power artificial intelligence.

In April 2016, Hewlett Packard had announced the launch of its new workload-optimized compute platforms and solutions in order to help the customers accelerate innovation and time-to-value with deep learning systems to be used in high-performance computing and financial services industry applications.

The report covers detailed analysis of companies which comprises overview, SCOT analysis, product portfolio, strategic initiative, strategic analysis, competitive landscape and market share analysis.

Key reason to buy the report:

  • The report includes market estimation, forecast and analysis for the year 2016-2023.
  • Report includes detailed analysis of different segments such as offering, applications and end users of deep learning.
  • Identify and understand the strength, opportunities, challenges and threats.
  • Covers details analysis of Porters 5 force model and other strategic models and also covers revenues, market share analysis, and competitive landscape analysis of major players.
  • Detailed analysis of various the regulatory policies which are affecting the market.

How we are different from others:

At Occam’s we provide an extensive portfolio which is comprehensive market analysis along with the market size, market share, and market segmentations. Our global report on this market offers detailed analysis of strategic models such as investment vs. adoption model, see saw analysis and others strategic models. Also, the report contains the detailed analysis of application, adoption scenario and decision support for each segment. The report discusses competitive landscape, with giving extensive SCOT analysis of key companies. 

Key findings:

  • North America is the largest market region in terms of market revenue share.
  • Deep learning software is the dominating offering segment.
  • Whereas, product and service launch are the key strategy adopted by the companies.
  1. INTRODUCTION
    1. EXECUTIVE SUMMARY
    2. ESTIMATION METHODOLOGY
  2. MARKET OVERVIEW
    1. GLOBAL DEEP LEARNING MARKET : EVOLUTION & TRANSITION
    2. MARKET DEFINITION & SCOPE  
    3. INDUSTRY STRUCTURE
    4. TOTAL MARKET ANALYSIS
      1. TOP 5 FINDINGS
      2. TOP 5 OPPORTUNITY MARKETS
      3. TOP 5 COMPANIES
      4. TOP 3 COMPETITIVE STRATEGIES
    5. ESTIMATION ANALYSIS
    6. STRATEGIC ANALYSIS
      1. INVESTMENT VS. ADOPTION MODEL
      2. 360-DEGREE INDUSTRY ANALYSIS
      3. PORTERS 5 FORCE MODEL
      4. SEE-SAW ANALYSIS
      5. CONSUMER ANALYSIS AND KEY BUYING CRITERIA
    7. COMPETITIVE ANALYSIS
      1. KEY STRATEGIES & ANALYSIS
      2. MARKET SHARE ANALYSIS & TOP COMPANY ANALYSIS
    8. STRATEGIC RECOMMENDATIONS & KEY CONCLUSIONS
      1. INVESTMENT OPPORTUNITIES BY REGIONS
      2. OPPORTUNITIES IN EMERGING APPLICATIONS
      3. INVESTMENT OPPORTUNITY IN FASTEST GROWING SEGMENT
  3. MARKET DETERMINANTS
    1. MARKET DRIVERS
      1. RISE IN THE USAGE OF DEEP LEARNING TECHNOLOGY IN VARIOUS SECTORS
      2. DEEP LEARNING USAGE IN BIG DATA ANALYTICS
      3. ENHANCING ADOPTION OF CLOUD-BASED TECHNOLOGIES IN DEEP LEARNING

 

  1. MARKET RESTRAINTS
    1. COMPLEXITY DUE TO INTRICATE ALGORITHM USED IN DEEP LEARNING TECHNOLOGY
    2. REQUIREMENT OF LARGE AMOUNT OF TRAINING DATA FOR RECOGNITION
  2. MARKET OPPORTUNITIES
  3. INCREASING USAGE OF DEEP LEARNING IN MEDICAL IMAGE ANALYSIS
  4. RISING ADOPTION OF DEEP LEARNING TECHNOLOGY CONSIDERING SMARTPHONES
  5.   MARKET CHALLENGES
    1. ISSUES OF DELAYS IN ADAPTABILITY OF NEUROMORPHIC TECHNOLOGY IN DEEP LEARNING
    2. ALGORITHMS OF DEEP LEARNING ARE EVOLVING AT A FASTER PACE COMPARED TO ITS HARDWARE
  1. GLOBAL DEEP LEARNING MARKET BY APPLICATION
    1. MARKET DEFINITION AND SCOPE
    2. DECISION SUPPORT DATABASE & ESTIMATION METHODOLOGY
    3. COMPARATIVE ANALYSIS ACROSS MARKET SEGMENTS
    4.  OPPORTUNITY MATRIX
    5. MARKET SEGMENTATION
      1. GLOBAL IMAGE RECOGNITION MARKET
        1. ADOPTION SCENARIO & MARKET DETERMINANTS
        2. MARKET ESTIMATIONS AND FORECASTS 2015-2024 ($ MILLION)
        3. KEY CONCLUSIONS
      2. GLOBAL DATA MINING MARKET
        1. ADOPTION SCENARIO & MARKET DETERMINANTS
        2. MARKET ESTIMATIONS AND FORECASTS 2015-2024 ($ MILLION)
        3. KEY CONCLUSIONS
      3. GLOBAL OTHERS MARKET
        1. ADOPTION SCENARIO & MARKET DETERMINANTS
        2. MARKET ESTIMATIONS AND FORECASTS 2015-2024 ($ MILLION)
        3. KEY CONCLUSIONS
  2. GLOBAL DEEP LEARNING MARKET BY OFFERING
    1. MARKET DEFINITION AND SCOPE
    2. DECISION SUPPORT DATABASE & ESTIMATION METHODOLOGY
    3. COMPARATIVE ANALYSIS ACROSS MARKET SEGMENTS
    4.  OPPORTUNITY MATRIX
    5. MARKET SEGMENTATION
      1. GLOBAL SOFTWARE MARKET
        1. ADOPTION SCENARIO & MARKET DETERMINANTS
        2. MARKET ESTIMATIONS AND FORECASTS 2015-2024 ($ MILLION)
        3. KEY CONCLUSIONS
      2. GLOBAL HARDWARE MARKET
        1. ADOPTION SCENARIO & MARKET DETERMINANTS
        2. MARKET ESTIMATIONS AND FORECASTS 2015-2024 ($ MILLION)
        3. KEY CONCLUSIONS
  3. GLOBAL DEEP LEARNING MARKET BY END-USER INDUSTRY
    1. MARKET DEFINITION AND SCOPE
    2. DECISION SUPPORT DATABASE & ESTIMATION METHODOLOGY
    3. COMPARATIVE ANALYSIS ACROSS MARKET SEGMENTS
    4.  OPPORTUNITY MATRIX
    5. MARKET SEGMENTATION
      1. GLOBAL AEROSPACE & DEFENSE MARKET
        1. ADOPTION SCENARIO & MARKET DETERMINANTS
        2. MARKET ESTIMATIONS AND FORECASTS 2015-2024 ($ MILLION)
        3. KEY CONCLUSIONS
      2. GLOBAL IT & TELECOM MARKET
        1. ADOPTION SCENARIO & MARKET DETERMINANTS
        2. MARKET ESTIMATIONS AND FORECASTS 2015-2024 ($ MILLION)
        3. KEY CONCLUSIONS
      3. GLOBAL MEDICAL MARKET
        1. ADOPTION SCENARIO & MARKET DETERMINANTS
        2. MARKET ESTIMATIONS AND FORECASTS 2015-2024 ($ MILLION)
        3. KEY CONCLUSIONS
      4. GLOBAL AUTOMOTIVE MARKET
        1. ADOPTION SCENARIO & MARKET DETERMINANTS
        2. MARKET ESTIMATIONS AND FORECASTS 2015-2024 ($ MILLION)
        3. KEY CONCLUSIONS
      5. GLOBAL INDUSTRIAL MARKET
        1. ADOPTION SCENARIO & MARKET DETERMINANTS
        2. MARKET ESTIMATIONS AND FORECASTS 2015-2024 ($ MILLION)
        3. KEY CONCLUSIONS
      6. GLOBAL MEDIA & ADVERTISING MARKET
        1. ADOPTION SCENARIO & MARKET DETERMINANTS
        2. MARKET ESTIMATIONS AND FORECASTS 2015-2024 ($ MILLION)
        3. KEY CONCLUSIONS
      7. GLOBAL FINANCE MARKET
        1. ADOPTION SCENARIO & MARKET DETERMINANTS
        2. MARKET ESTIMATIONS AND FORECASTS 2015-2024 ($ MILLION)
        3. KEY CONCLUSIONS
      8. GLOBAL RETAIL MARKET
        1. ADOPTION SCENARIO & MARKET DETERMINANTS
        2. MARKET ESTIMATIONS AND FORECASTS 2015-2024 ($ MILLION)
        3. KEY CONCLUSIONS
      9. GLOBAL OIL, GAS AND ENERGY MARKET
        1. ADOPTION SCENARIO & MARKET DETERMINANTS
        2. MARKET ESTIMATIONS AND FORECASTS 2015-2024 ($ MILLION)
        3. KEY CONCLUSIONS
      10. GLOBAL OTHER END-USER INDUSTRIES MARKET
        1. ADOPTION SCENARIO & MARKET DETERMINANTS
        2. MARKET ESTIMATIONS AND FORECASTS 2015-2024 ($ MILLION)
      11. KEY CONCLUSIONS
  4. COMPETITIVE LANDSCAPE
    1. KEY STRATEGIES
      1. LIST OF MERGERS AND ACQUISITION
      2. LIST OF JOINT VENTURES
      3. LIST OF PRODUCT LAUNCHES
      4. LIST OF PARTNERSHIPS
  5. GEOGRAPHIC ANALYSIS
    1. DECISION SUPPORT DATABASE & ESTIMATION METHODOLOGY
    2. COMPARATIVE ANALYSIS ACROSS MARKET SEGMENTS
    3. OPPORTUNITY MATRIX
    4.  GLOBAL DEEP LEARNING MARKET BY REGION 2015-2024  
      1. NORTH AMERICA
        1. INDUSTRY ANALYSIS 2015-2024 ($ MILLION)
        2. TOP COUNTRY ANALYSIS
          1. U.S.
            1. MARKET ESTIMATIONS AND FORECASTS 2015-2024 ($ MILLION)
            2. KEY CONCLUSIONS
          2. CANADA
            1. MARKET ESTIMATIONS AND FORECASTS 2015-2024 ($ MILLION)
            2. KEY CONCLUSIONS
      2. EUROPE
        1. INDUSTRY ANALYSIS 2015-2024 ($ MILLION)
        2. TOP COUNTRY ANALYSIS
          1. UK
            1. MARKET ESTIMATIONS AND FORECASTS 2015-2024 ($ MILLION)
            2. KEY CONCLUSIONS
          2. FRANCE
            1. MARKET ESTIMATIONS AND FORECASTS 2015-2024 ($ MILLION)
            2. KEY CONCLUSIONS
          3. GERMANY
            1. MARKET ESTIMATIONS AND FORECASTS 2015-2024 ($ MILLION)
            2. KEY CONCLUSIONS
          4. SPAIN
            1. MARKET ESTIMATIONS AND FORECASTS 2015-2024 ($ MILLION)
            2. KEY CONCLUSIONS
          5. REST OF EUROPE
            1. MARKET ESTIMATIONS AND FORECASTS 2015-2024 ($ MILLION)
            2. KEY CONCLUSIONS
      3. ASIA PACIFIC
        1. INDUSTRY ANALYSIS 2015-2024 ($ MILLION)
        2. TOP COUNTRY ANALYSIS
          1. CHINA
            1. MARKET ESTIMATIONS AND FORECASTS 2015-2024 ($ MILLION)
            2. KEY CONCLUSIONS
          2. INDIA
            1. MARKET ESTIMATIONS AND FORECASTS 2015-2024 ($ MILLION)
            2. KEY CONCLUSIONS
          3. JAPAN
            1. MARKET ESTIMATIONS AND FORECASTS 2015-2024 ($ MILLION)
            2. KEY CONCLUSIONS
          4. AUSTRALIA
            1. MARKET ESTIMATIONS AND FORECASTS 2015-2024 ($ MILLION)
            2. KEY CONCLUSIONS
          5. REST OF ASIA PACIFIC
            1. MARKET ESTIMATIONS AND FORECASTS 2015-2024 ($ MILLION)
            2. KEY CONCLUSIONS
      4. ROW
        1. INDUSTRY ANALYSIS 2015-2024 ($ MILLION)
        2. TOP COUNTRY ANALYSIS
          1. LATIN AMERICA
            1. MARKET ESTIMATIONS AND FORECASTS 2015-2024 ($ MILLION)
            2. KEY CONCLUSIONS
          2. MIDDLE EAST & AFRICA
            1. MARKET ESTIMATIONS AND FORECASTS 2015-2024 ($ MILLION)
            2. KEY CONCLUSIONS
  6. COMPANY PROFILES
    1. ADVANCED MICRO DEVICES, INC. (U.S.)
      1. OVERVIEW
      2. PRODUCT PORTFOLIO
      3. STRATEGIC INITIATIVES
      4. SCOT ANALYSIS
      5. STRATEGIC ANALYSIS
    2. ARM LTD. (UK)
      1. OVERVIEW
      2. PRODUCT PORTFOLIO
      3. STRATEGIC INITIATIVES
      4. SCOT ANALYSIS
      5. STRATEGIC ANALYSIS
    3. BAIDU INC. (CHINA)
      1. OVERVIEW
      2. PRODUCT PORTFOLIO
      3. STRATEGIC INITIATIVES
      4. SCOT ANALYSIS
      5. STRATEGIC ANALYSIS
    4. CLAIRIFAI INC. (U.S.)
      1. OVERVIEW
      2. PRODUCT PORTFOLIO
      3. STRATEGIC INITIATIVES
      4. SCOT ANALYSIS
      5. STRATEGIC ANALYSIS
    5. ENLITIC (U.S.)
      1. OVERVIEW
      2. PRODUCT PORTFOLIO
      3. STRATEGIC INITIATIVES
      4. SCOT ANALYSIS
      5. STRATEGIC ANALYSIS
    6. GENERAL VISION INC. (U.S.)
      1. OVERVIEW
      2. PRODUCT PORTFOLIO
      3. STRATEGIC INITIATIVES
      4. SCOT ANALYSIS
      5. STRATEGIC ANALYSIS
    7. GOOGLE INC. (U.S.)
      1. OVERVIEW
      2. PRODUCT PORTFOLIO
      3. STRATEGIC INITIATIVES
      4. SCOT ANALYSIS
      5. STRATEGIC ANALYSIS
    8. HEWLETT PACKARD  (U.S.)
      1. OVERVIEW
      2. PRODUCT PORTFOLIO
      3. STRATEGIC INITIATIVES
      4. SCOT ANALYSIS
      5. STRATEGIC ANALYSIS
    9.   IBM CORPORATION (U.S.)
      1. OVERVIEW
      2. PRODUCT PORTFOLIO
      3. STRATEGIC INITIATIVES
      4. SCOT ANALYSIS
      5. STRATEGIC ANALYSIS
    10. INTEL CORPORATION (U.S.)
      1. OVERVIEW
      2. PRODUCT PORTFOLIO
      3. STRATEGIC INITIATIVES
      4. SCOT ANALYSIS
      5. STRATEGIC ANALYSIS
    11. MICROSOFT CORPORATION (U.S.)
      1. OVERVIEW
      2. PRODUCT PORTFOLIO
      3. STRATEGIC INITIATIVES
      4. SCOT ANALYSIS
      5. STRATEGIC ANALYSIS
    12. NVIDIA CORPORATION (U.S.)
      1. OVERVIEW
      2. PRODUCT PORTFOLIO
      3. STRATEGIC INITIATIVES
      4. SCOT ANALYSIS
      5. STRATEGIC ANALYSIS
    13. QUALCOMM TECHNOLOGIES INC.  (U.S.)
      1. OVERVIEW
      2. PRODUCT PORTFOLIO
      3. STRATEGIC INITIATIVES
      4. SCOT ANALYSIS
      5. STRATEGIC ANALYSIS
    14. SENSORY INC. (U.S.)
      1. OVERVIEW 
      2. PRODUCT PORTFOLIO
      3. STRATEGIC INITIATIVES
      4. SCOT ANALYSIS
      5. STRATEGIC ANALYSIS
    15. SKYMIND (U.S.)
      1. OVERVIEW
      2. PRODUCT PORTFOLIO
      3. STRATEGIC INITIATIVES
      4. SCOT ANALYSIS
      5. STRATEGIC ANALYSIS

LIST OF TABLES

  1. GLOBAL DEEP LEARNING MARKET BY APPLICATION2015-2024 ($ MILLION)
  2. GLOBAL IMAGE RECOGNITION MARKET BY GEOGRAPHY 2015-2024 ($ MILLION)
  3. GLOBAL SIGNAL RECOGNITION MODELING MARKET BY GEOGRAPHY 2015-2024 ($ MILLION)
  4. GLOBAL DATA MINING MARKET BY GEOGRAPHY 2015-2024 ($ MILLION)
  5. GLOBAL OTHERS MARKET BY GEOGRAPHY 2015-2024 ($ MILLION)

 

  1. GLOBAL DEEP LEARNING MARKET BY OFFERING 2015-2024 ($ MILLION)
  2. GLOBAL SOFTWARE MARKET BY GEOGRAPHY 2015-2024 ($ MILLION)
  3. GLOBAL HARDWARE  MARKET BY GEOGRAPHY 2015-2024 ($ MILLION)
  4. GLOBAL DEEP LEARNING MARKET BY END-USER INDUSTRY 2015-2024 ($ MILLION)
  5. GLOBAL AEROSPACE & DEFENSE MARKET BY GEOGRAPHY 2015-2024 ($ MILLION)
  6. GLOBAL IT & TELECOM MARKET BY GEOGRAPHY 2015-2024 ($ MILLION)
  7. GLOBAL MEDICAL  MARKET BY VERTICAL 2015-2024 ($ MILLION)
  8. GLOBAL AUTOMOTIVE MARKET BY GEOGRAPHY 2015-2024 ($ MILLION)
  9. GLOBAL INDUSTRIAL MARKET BY GEOGRAPHY 2015-2024 ($ MILLION)
  10. GLOBAL MEDIA & ADVERTISING MARKET BY GEOGRAPHY 2015-2024 ($ MILLION)
  11. GLOBAL FINANCE MARKET BY GEOGRAPHY 2015-2024 ($ MILLION)
  12. GLOBAL RETAIL BY GEOGRAPHY 2015-2024 ($ MILLION)
  13. GLOBAL OIL, GAS AND ENERGY MARKET BY GEOGRAPHY 2015-2024 ($ MILLION)
  14. GLOBAL OTHER END-USER INDUSTRIES MARKET BY GEOGRAPHY 2015-2024 ($ MILLION)
  15. NORTH AMERICA DEEP LEARNING MARKET 2015-2024 ($ MILLION)
  16. EUROPE DEEP LEARNING MARKET 2015-2024 ($ MILLION)
  17. ASIA PACIFIC DEEP LEARNING MARKET 2015-2024 ($ MILLION)
  18. REST OF THE WORLD DEEP LEARNING MARKET 2015-2024 ($ MILLION)
  19. NORTH AMERICA DEEP LEARNING MARKET BY PROVIDER 2015-2024 ($ MILLION)
  20. EUROPE DEEP LEARNING MARKET BY PROVIDER 2015-2024 ($ MILLION)
  21. ASIA PACIFIC DEEP LEARNING MARKET BY PROVIDER 2015-2024 ($ MILLION)
  22. REST OF THE WORLD FINTECH BLOCKCHAINMARKET BY PROVIDER 2015-2024 ($ MILLION)
  23. NORTH AMERICA DEEP LEARNING MARKET BY APPLICATION 2015-2024 ($ MILLION)
  24. EUROPE DEEP LEARNING MARKET BY APPLICATION 2015-2024 ($ MILLION)
  25. ASIA PACIFIC DEEP LEARNING MARKET BY APPLICATION 2015-2024 ($ MILLION)
  26. REST OF THE WORLD DEEP LEARNING MARKET BY APPLICATION 2015-2024 ($ MILLION)
  27. NORTH AMERICA DEEP LEARNING MARKET BY OFFERING 2015-2024 ($ MILLION)
  28. EUROPE DEEP LEARNING MARKET BY OFFERING 2015-2024 ($ MILLION)
  29. ASIA PACIFIC DEEP LEARNING MARKET BY OFFERING 2015-2024 ($ MILLION)
  30. REST OF THE WORLD DEEP LEARNING MARKET BY OFFERING 2015-2024 ($ MILLION)
  31. NORTH AMERICA DEEP LEARNING MARKET BY END-USER INDUSTRY  2015-2024 ($ MILLION)
  32. EUROPE DEEP LEARNING MARKET BY END-USER INDUSTRY 2015-2024 ($ MILLION)
  33. ASIA PACIFIC DEEP LEARNING MARKET BY END-USER INDUSTRY  2015-2024 ($ MILLION)
  34. REST OF THE WORLD DEEP LEARNING MARKET BY END-USER INDUSTRY 2015-2024 ($ MILLION)
  35. UNITED STATES DEEP LEARNING MARKET BY APPLICATION 2015-2024 ($ MILLION)
  36. UNITED STATES DEEP LEARNING MARKET BY OFFERING 2015-2024 ($ MILLION)
  37. UNITED STATES DEEP LEARNING MARKET BY END-USER INDUSTRY 2015-2024 ($ MILLION)
  38. CANADA DEEP LEARNING MARKET BY APPLICATION 2015-2024 ($ MILLION)
  39. CANADA DEEP LEARNING MARKET BY OFFERING 2015-2024 ($ MILLION)
  40. CANADA DEEP LEARNING MARKET BY END-USER INDUSTRY 2015-2024 ($ MILLION)
  41. UK DEEP LEARNING MARKET BY APPLICATION 2015-2024 ($ MILLION)
  42. UK DEEP LEARNING MARKET BY OFFERING 2015-2024 ($ MILLION)
  43. UK DEEP LEARNING MARKET BY END-USER INDUSTRY 2015-2024 ($ MILLION)
  44. FRANCE DEEP LEARNING MARKET BY APPLICATION 2015-2024 ($ MILLION)
  45. FRANCE DEEP LEARNING MARKET BY OFFERING 2015-2024 ($ MILLION)
  46. FRANCE DEEP LEARNING MARKET BY END-USER INDUSTRY 2015-2024 ($ MILLION)GERMANY DEEP LEARNING MARKET BY APPLICATION 2015-2024 ($ MILLION)

 

LIST OF FIGURES

  1. GLOBAL IMAGE RECOGNITION MARKET BY GEOGRAPHY 2015-2024 ($ MILLION)
  2. GLOBAL SIGNAL RECOGNITION MODELING MARKET BY GEOGRAPHY 2015-2024 ($ MILLION)
  3. GLOBAL DATA MINING MARKET BY GEOGRAPHY 2015-2024 ($ MILLION)
  4. GLOBAL OTHERS MARKET BY GEOGRAPHY 2015-2024 ($ MILLION)
  5. GLOBAL SOFTWARE MARKET BY GEOGRAPHY 2015-2024 ($ MILLION)
  6. GLOBAL HARDWARE  MARKET BY GEOGRAPHY 2015-2024 ($ MILLION)
  7. GLOBAL AEROSPACE & DEFENSE MARKET BY GEOGRAPHY 2015-2024 ($ MILLION)
  8. GLOBAL IT & TELECOM MARKET BY GEOGRAPHY 2015-2024 ($ MILLION)
  9. GLOBAL MEDICAL  MARKET BY VERTICAL 2015-2024 ($ MILLION)
  10. GLOBAL AUTOMOTIVE MARKET BY GEOGRAPHY 2015-2024 ($ MILLION)
  11. GLOBAL INDUSTRIAL MARKET BY GEOGRAPHY 2015-2024 ($ MILLION)
  12. GLOBAL MEDIA & ADVERTISING MARKET BY GEOGRAPHY 2015-2024 ($ MILLION)
  13. GLOBAL FINANCE MARKET BY GEOGRAPHY 2015-2024 ($ MILLION)
  14. GLOBAL RETAIL BY GEOGRAPHY 2015-2024 ($ MILLION)
  15. GLOBAL OIL, GAS AND ENERGY MARKET BY GEOGRAPHY 2015-2024 ($ MILLION)
  16. GLOBAL OTHER END-USER INDUSTRIES MARKET BY GEOGRAPHY 2015-2024 ($ MILLION)
  17. UNITED STATES (U.S.) DEEP LEARNING MARKET 2015-2024 ($ MILLION)
  18. CANADA DEEP LEARNING MARKET 2015-2024 ($ MILLION)
  19. UNITED KINGDOM (UK) DEEP LEARNING MARKET 2015-2024 ($ MILLION)
  20. FRANCE DEEP LEARNING MARKET 2015-2024 ($ MILLION)
  21. GERMANY DEEP LEARNING MARKET 2015-2024 ($ MILLION)
  22. SPAIN DEEP LEARNING MARKET 2015-2024 ($ MILLION)
  23. ROE DEEP LEARNING MARKET 2015-2024 ($ MILLION)
  24. CHINA DEEP LEARNING MARKET 2015-2024 ($ MILLION)
  25. INDIA DEEP LEARNING MARKET 2015-2024 ($ MILLION)
  26. JAPAN DEEP LEARNING MARKET 2015-2024 ($ MILLION)
  27. AUSTRALIA DEEP LEARNING MARKET 2015-2024 ($ MILLION)
  28. ROAPAC DEEP LEARNING MARKET 2015-2024 ($ MILLION)
  29. LATIN AMERICA DEEP LEARNING MARKET 2015-2024 ($ MILLION)
  30. MENA DEEP LEARNING MARKET 2015-2024 ($ MILLION) 

 

 

 

FAQ

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I want to buy only a chapter. I don't need complete report.
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Will I receive any invoice for my purchase?
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