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Deep Learning Market in the US 2017-2021

Deep Learning Market in the US 2017-2021

About Deep Learning

Deep learning is an advanced algorithm that possesses the ability to study large chunks of relevant data to derive meaningful patterns that assist cognitive decision- making. This technology is preferred over machine learning as it enables the user to analyze large data sets. Deep learning algorithms can assess complicated data sets using matrix multiplication. Although machine learning and deep learning algorithms are overlapping subsets of artificial intelligence (AI), the difference lies in the size of input data.

Technavio’s analysts forecast the deep learning market in the US to grow at a CAGR of 57.29% during the period 2017-2021.

Covered in this report

The report covers the present scenario and the growth prospects of the deep learning market in the US for 2017-2021. To calculate the market size, the report considers technology/software installations and related services carried out for deep learning algorithms in process and discrete industries.Technavio's report, Deep Learning Market in the US 2017-2021, has been prepared based on an in-depth market analysis with inputs from industry experts. The report covers the market landscape and its growth prospects over the coming years. The report also includes a discussion of the key vendors operating in this market.

Key vendors

  • Amazon Web Services
  • Google
  • IBM
  • Intel
Other prominent vendors
  • Microsoft
  • NVIDIA
  • OMRON
  • Qualcomm Technologies
Market driver
  • Enabling condition monitoring in industries
  • For a full, detailed list, view our report
Market challenge
  • Technical difficulties encountered
  • For a full, detailed list, view our report
Market trend
  • Advances in deep learning
  • For a full, detailed list, view our report
Key questions answered in this report
  • What will the market size be in 2020 and what will the growth rate be?
  • What are the key market trends?
  • What is driving this market?
  • What are the challenges to market growth?
  • Who are the key vendors in this market space?
  • What are the market opportunities and threats faced by the key vendors?
  • What are the strengths and weaknesses of the key vendors?


Press Release

Technavio Announces the Publication of its Research Report – Deep Learning Market in the US 2017-2021

Technavio recognizes the following companies as the key players in the deep learning market in the US: Amazon Web Services, Google, IBM, and Intel.

Other Prominent Vendors in the market are: Microsoft, NVIDIA, OMRON, and Qualcomm Technologies.

Commenting on the report, an analyst from Technavio’s team said: “One trend in the market is advances in deep learning. With industries harnessing deep learning technology to optimize operations and make real-time decisions, modular capabilities in deep learning will aid visual design, configuration, and training new models obtained from pre-existent building blocks. A major structural change will emerge as a result, known as transfer learning, which will enable experiential solving of similar cases.”

According to the report, one driver in the market is enabling condition monitoring in industries. Deep learning facilitates condition monitoring to map the overall equipment effectiveness (OEE) across plant level to generate real-time data regarding assets deployed on the shop floor. Post implementation of deep learning in industries, end-users can leverage technology as a medium to gain knowledge regarding the productivity and machine condition. It has been observed that the overall equipment effectiveness across industries with deep learning technology increased from 65% to 85% with an average improvement of 17-20% across all industries.

Further, the report states that one challenge in the market is technical difficulties encountered. Deep learning technology, which deploys artificial neural networks to make real-time decisions, requires voluminous data to form a knowledge base in order to interpret the behavior of data set. However, carrying out the data acquisition is an arduous task and is also considered unethical. In addition, most of the companies specializing in deep learning technology and AI are small- to mid-sized start-ups. These companies are rated high on their technical capability but lack sufficient funds to gather massive chunk of data.

Companies Mentioned

Amazon Web Services, Google, IBM, Intel, Microsoft, NVIDIA, OMRON, and Qualcomm Technologies.

  • Executive summary
  • Scope of the report
  • Research Methodology
  • Introduction
    • Market outline
      • Table Benefits of deep learning in industrial process/manufacturing
      • Table Applications of deep learning in industrial process/manufacturing
      • Table Practical applications of deep learning in industries
  • Market landscape
    • Market overview
      • Table Segmentation of deep learning market in the US
      • Table Key stakeholders in the market
      • Table Cost-benefit analysis
    • Market size and forecast
      • Table Deep learning market in the US 2016-2021 ($ millions)
    • Five forces analysis
      • Table Five forces analysis
  • Market segmentation by application
    • Market overview
      • Table Deep learning market in the US by application 2016 and 2021 (% revenue share)
      • Table Incremental growth contribution by individual applications (revenue and % share)
    • Deep learning market in the US by image recognition
      • Table Deep learning market in the US by image recognition 2016-2021 ($ millions)
      • Table Blockchain diagram explaining image recognition using deep learning
      • Table Applications of image recognition in an industrial set-up
    • Deep learning market in the US by signal recognition
      • Table Deep learning market in the US by signal recognition 2016-2021 ($ millions)
      • Table Applications included under signal recognition
    • Deep learning market in the US by data mining
      • Table Deep learning market in the US by data mining 2016-2021 ($ millions)
      • Table Applications included under data mining
      • Table Benefits of data mining in industries
  • Market segmentation by end-user
    • Market overview
      • Table Deep learning market in the US by end-user
      • Table Deep learning market in the US by end-user 2016 and 2021 (% revenue share)
      • Table Incremental growth contribution by end-user (revenue and % share)
    • Deep learning market in the US in process industries
      • Table Deep learning market in the US in process industries 2016-2021 ($ millions)
      • Table Applications of deep learning in oil and gas industry
    • Deep learning market in the US in discrete industries
      • Table Deep learning market in the US in discrete industries 2016-2021 ($ millions)
  • Decision framework
  • Drivers and challenges
    • Market drivers
      • Table Process improvement through implementation of deep learning technology
      • Table Condition monitoring and predictive analytical ability of deep learning technology
      • Table US based start-ups offering AI technology
    • Market challenges
  • Market trends
    • Advances in deep learning
    • Reinforcement learning
    • Reliance on meta learning
    • Combating security threats using AI
  • Vendor landscape
    • Competition overview
      • Table Impact of competitors on deep learning market in US
    • Other prominent vendors
      • Table Other prominent vendors
      • Table List of start-ups in deep learning market in the US
  • Key vendor analysis
    • Amazon Web Services
    • Google
      • Table Research areas under Google Brain
    • IBM
      • Table Critical areas of business growth
      • Table Deep learning frameworks incorporated
    • Intel
    • Key takeaways
  • Appendix
    • List of abbreviations
  • Explore Technavio

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