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Global Deep Learning System Market 2016-2020

About Deep Learning System

Deep learning is a new area in machine learning research and focuses on artificial learning, the primary objective of machine learning. Deep learning deals with learning multiple levels of representation and abstraction that helps make sense of data such as images, sound, and text.

Technavio’s analysts forecast the global deep learning system market to grow at a CAGR of 38.73% during the period 2016-2020.

Covered in this report

The report covers the present scenario and the growth prospects of the global deep learning system market for 2016-2020. To calculate the market size, the report provides a list of vendors and the detailed profiles of the major vendors in the global deep learning system market.

The market is divided into the following segments based on geography:

  • Americas
  • APAC
  • EMEA
Technavio's report, Global Deep Learning System Market 2016-2020, 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
  • Alphabet
  • BVLC
  • Facebook
  • LISA lab
  • Microsoft
  • Nervana Systems
Other prominent vendors
  • Affectiva
  • Clarifai
  • Deep Genomics
  • Deep Instinct
  • Ditto Labs
  • Enlitic
  • Gridspace
  • Indico
  • MarianaIQ
  • MetaMind
  • Ripjar
Market driver
  • Surging demand for more knowledge about decisions and processes.
  • For a full, detailed list, view our report
Market challenge
  • Advances in learning process.
  • For a full, detailed list, view our report
Market trend
  • Rising need for detecting new malware for cyber security.
  • 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 – Global Deep Learning System Market 2016-2020

Technavio recognizes the following companies as the key players in the global deep learning system market: Alphabet, BVLC, Facebook, LISA lab, Microsoft, and Nervana Systems.

Other prominent vendors in the market are: Affectiva, Clarifai, Deep Genomics, Deep Instinct, Ditto Labs, Enlitic, Gridspace, Indico, MarianaIQ, MetaMind, and Ripjar.

Commenting on the report, an analyst from Technavio’s team said: “One of latest trends in the market is rising need for detecting new malware for cyber security. The technology of deep learning is allowing the detection of malicious activity at the point of entry in real time. Deep learning has self-learning capability that provides faster processing and higher accuracy. Alike image recognition, in cyber security, most of new malware and threats are very small alterations of the existing ones. Only a few of them are new malware that are substantial mutations of current malicious threat. However, in spite of this fact, cyber security solutions are the most advanced ones that practice traditional machine learning and dynamic analysis. This machine learning has difficulty to detect new malware. The consequence is vulnerabilities that consent organizations to data theft, breaches, data corruption, and ransomware. Deep learning aids in resolving this problem.”

According to the report, one of the primary drivers in the market is surging demand for more knowledge about decisions and processes. Deep learning brings technology a step closer to humans by supporting them in decision-making in numerous areas of life and work. The integration of deep learning applications with self-learning IT systems within an organization helps in communicating with people and other computer systems in real time. It also aids in recollecting previous interactions that assist in drawing conclusions independently while rapidly processing large quantities of data from highly diverse sources. For instance, a learning system such as IBM Watson, which follows the process of understanding, learning, and evaluating, can read millions of text documents in seconds. These systems model human thought processes to a certain extent. Almost all industries benefit from the use of this technology, ranging from healthcare to finance or manufacturing to e-commerce.

Further, the report states that one major challenge in the market is advances in learning process. The research in deep learning has grown dramatically with significant progress. However, one of the important aspects of learning mechanisms is to understand if learning is supervised or unsupervised. Either technique is applied in a deep learning system. Hence, one of the initial challenges is to avoid wrong learning of the system right before making a feasible decision, especially in the autonomous or unsupervised learning process. The other issue with the process is to define the learning process concretely in the context of objectives and contributions of the system.

Companies Mentioned

Alphabet, BVLC, Facebook, LISA lab, Microsoft, Nervana Systems, Affectiva, Clarifai, Deep Genomics, Deep Instinct, Ditto Labs, Enlitic, Gridspace, Indico, MarianaIQ, MetaMind, Ripjar.

  • Executive summary
    • Highlights
    • Overview of revenue
      • Table Overview of revenue 2015
  • Scope of the report
    • Market overview
    • Market segmentation
    • Geographical information
      • Table Major countries covered in market analysis
    • Vendor selection
    • Summation errors
  • Market research methodology
    • Research methodology
    • Economic indicators
  • Introduction
    • Key market highlights
      • Table Relationship between different sub-fields in AI
      • Table Conventional neural network architecture
      • Table Deep learning network architecture
  • Market landscape
    • Table Broad categories of deep learning architectures
    • Table Some examples of supervised and unsupervised/semi-supervised learning algorithms
    • Table Five critical dimensions for evolution of deep learning systems
  • Market size and forecast
    • Table Global deep learning system market 2015-2020 ($ millions)
  • Market segmentation by end-user
    • BFSI
    • Retail
    • Healthcare
    • Others
  • Market segmentation by product
    • Table Global deep learning system market by product 2015
    • Hardware
    • Software and applications
    • Services
  • Geographical segmentation
    • Table Global deep learning system market by geography 2015 and 2020 (% share)
    • Table Global deep learning system market by geography 2015 and 2020 ($ millions)
    • Table Deep learning system market in Americas 2015-2020 ($ millions)
    • Table Deep learning system market in EMEA 2015-2020 ($ millions)
    • Table Deep learning system market in APAC 2015-2020 ($ millions)
  • Market drivers
    • Surging demand for more knowledge about decisions and processes
    • Growing need for improved human and system interaction
    • Increasing need for discovering useful insights from available information
    • Increased deployment of LTE wireless broadband
  • Impact of drivers
    • Table Impact of drivers
  • Market challenges
    • Advances in learning process
    • Application of cross-layers
    • Lack of experienced talent
  • Impact of drivers and challenges
    • Table Impact of drivers and challenges
  • Market trends
    • Rising need for detecting new malware for cyber security
    • Growing government investment in IoT
      • Table Global investments in IoT
  • Five forces model
    • Table Five forces model
  • Vendor landscape
    • Competitive scenario
    • Top-vendor offerings
      • Table Products offerings
    • Vendor matrix
      • Table Vendor matrix by features
      • Table Vendor matrix by supported interface
      • Table Vendor matrix by speed
  • Key vendor profiles
    • Vendor profiles
      • Table Alphabet: Products and features
      • Table BVLC: Products and features
      • Table Facebook: Products and features
      • Table LISA lab: Key products and features
      • Table Microsoft: Key products and features
      • Table Nervana Systems: Key products and features
  • Prominent vendors
    • Prominent deep learning frameworks and providers
      • Table Prominent deep learning frameworks and providers
    • Prominent deep learning software vendors
      • Table Prominent vendors in global deep learning system market
  • Assumptions
    • Market assumptions
      • Table Market assumptions
  • Appendix
    • List of abbreviations
  • Explore Technavio

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