HOME Top Market Reports Deep Learning Market by Application (Image Recognition, Signal Recognition, Data Mining), Offering (Hardware (Von Neumann and Neuromorphic Chip), and Software), End-User Industry, and Geography - Global Forecasts to 2022

Deep Learning Market by Application (Image Recognition, Signal Recognition, Data Mining), Offering (Hardware (Von Neumann and Neuromorphic Chip), and Software), End-User Industry, and Geography - Global Forecasts to 2022

By: marketsandmarkets.com
Publishing Date: November 2016
Report Code: SE 4770

 

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According to the new market research report on deep learning, this market is expected to be worth USD 1772.9 Million by 2022, growing at a CAGR of 65.3% between 2016 and 2022. The base year used for this study is 2015 and the forecast period is between 2016 and 2022. This report provides a detailed analysis of the deep learning market based on application, offering, end-user industries, and geography. The research and development activities for the development of better processing hardware for deep learning, growing adoption of cloud-based technology, and the growing usage of the deep learning technology across various industry verticals such as advertisement, finance, and automotive are the major drivers for the growth of the deep learning market.

To estimate the size of the deep learning market, top-down and bottom-up approaches have been considered in the study. This entire research methodology includes the study of annual and financial reports of top players, presentations, press releases, journals, paid databases, and interviews with industry experts. Also, the revenue generated for the deep learning-related software, services, and hardware by the companies, according to the region, was used to arrive at the overall deep learning market size. This overall market size was used in the top-down approach to estimate the deep learning market size from the addition of the estimated market sizes of all industry groups via percentage splits from secondary and primary research.

Deep Learning Market

To know about the assumptions considered for the study, download the pdf brochure

The deep learning ecosystem comprises hardware and platforms/services/solutions providers such as Google Inc. (U.S.), IBM Corp. (U.S.), Microsoft Corporation (U.S.), Qualcomm Technologies, Inc. (U.S.), Skymind (U.S.), Baidu, Inc. (China), Hewlett Packard Enterprise (U.S.), Sensory Inc. (U.S.), General Vision Inc. (U.S.), Intel Corporation (U.S.), and NVIDIA Corporation (U.S.).

The Target Audience:

  • Component manufacturers
  • Chip designers
  • Electronics and semiconductor companies
  • Consumer electronics manufacturers
  • Technology providers
  • Software providers
  • Technology standard organizations, forums, alliances, and associations
  • Universities and research organizations
  • Government agencies
  • Industries such as aerospace and defense, automotive, IT and telecom, industrial, and medical, among others

“This study answers several questions for the stakeholders, primarily, which market segments to focus on in the next two to five years for prioritizing efforts and investments.”

Deep Learning Market Scope:

By Application

  • Image recognition
  • Signal recognition
  • Data mining
  • Others

By Offering

  • Hardware (Von Neumann- and Neuromorphic chip-based architecture)
  • Software

By End-User Industry

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

By Geography

  • North America
    • U.S.
    • Canada
    • Mexico
  • Europe
    • U.K.
    • Germany
    • France
    • Rest of Europe
  • APAC
    • China
    • Japan
    • South Korea
    • India
    • Rest of APAC
  • RoW
    • Middle East
    • Africa
    • Latin America

Available Customizations:

With the given market data, MarketsandMarkets offers customizations according to the clients’ specific needs. The following customization options are available for the report:

Regional Analysis

Further breakdown of region/country-specific analysis

Company Information

Detailed analysis and profiling of additional market players (up to five)

Table of Contents

1 Introduction (Page No. - 16)
    1.1 Objectives of the Study
    1.2 Market Definition
    1.3 Study Scope
           1.3.1 Markets Covered
           1.3.2 Years Considered for the Study
    1.4 Currency
    1.5 Limitations
    1.6 Stakeholders

2 Research Methodology (Page No. - 20)
    2.1 Introduction
           2.1.1 Secondary Data
                    2.1.1.1 Key Data From Secondary Sources
           2.1.2 Primary Data
                    2.1.2.1 Key Data From Primary Sources
                    2.1.2.2 Key Industry Insights
                    2.1.2.3 Breakdown of Primaries
    2.2 Market Size Estimation
           2.2.1 Bottom-Up Approach
           2.2.2 Top-Down Approach
    2.3 Market Breakdown and Data Triangulation
    2.4 Research Assumptions

3 Executive Summary (Page No. - 28)

4 Premium Insights (Page No. - 32)
    4.1 Attractive Opportunities in the Deep Learning Market, 2013–2022 (USD Million)
    4.2 Deep Learning Market, By Application
    4.3 Deep Learning Market, By Region
    4.4 Aerospace & Defense End-User Industry Dominated the Deep Learning Market in 2015
    4.5 North America Held the Largest Share of the Deep Learning Market in 2015
    4.6 Deep Learning Market, By Offering

5 Market Overview (Page No. - 37)
    5.1 Introduction
    5.2 Market Segmentation
           5.2.1 Deep Learning Market, By Application
           5.2.2 Deep Learning Market, By Offering
           5.2.3 Deep Learning Market, By End-User Industry
           5.2.4 Deep Learning Market, By Geography
    5.3 Market Dynamics
           5.3.1 Drivers
                    5.3.1.1 Growing Usage of Deep Learning Technology Across Various Industrial Verticals Such as Advertisement, Finance, and Automotive
                    5.3.1.2 Robust R&D for the Development of Better Processing Hardware for Deep Learning
                    5.3.1.3 Deep Learning Usage in Big Data Analytics
                    5.3.1.4 Increasing Adoption of Cloud-Based Technology for Deep Learning
           5.3.2 Restraints
                    5.3.2.1 Increasing Complexity in Hardware Due to Complex Algorithm Used in the Deep Learning Technology
           5.3.3 Opportunities
                    5.3.3.1 Usage of Deep Learning for Medical Image Analysis
                    5.3.3.2 Use of Deep Learning Technology in Smartphones
           5.3.4 Challenges
                    5.3.4.1 Delay in Acceptance of Neuromorphic Technology for Deep Learning
                    5.3.4.2 Algorithms of Deep Learning are Evolving at A Faster Pace Compared to Its Hardware

6 Industry Trends (Page No. - 46)
    6.1 Introduction
    6.2 Value Chain Analysis
    6.3 Industry Developments
    6.4 Porter’s Five Forces Analysis
           6.4.1 Industry Rivarly
           6.4.2 Threat of Substitutes
           6.4.3 Threat of New Entrants
           6.4.4 Bargaining Power of Suppliers
           6.4.5 Bargaining Power of Buyers

7 Deep Learning Market, By Application (Page No. - 55)
    7.1 Introduction
    7.2 Image Recognition
           7.2.1 Machine Vision
           7.2.2 Medical & Satellite Imaging
           7.2.3 Security/Video Surveillance
           7.2.4 Smart Motion
           7.2.5 Robotics
    7.3 Signal Recognition
           7.3.1 Speech Recognition
           7.3.2 Voice Identification
           7.3.3 Others (Radar/Sonar, EEG/EKG/ECG, Vibration Monitoring)
    7.4 Data Mining
           7.4.1 Sentiment Analysis
           7.4.2 Machine Translation
           7.4.3 Fingerprint Identification
           7.4.4 Cyber Security
           7.4.5 Bioinformatics
    7.5 Others
           7.5.1 Recommender System
           7.5.2 Drug Discovery

8 Deep Learning Market, By Offering (Page No. - 75)
    8.1 Introduction
    8.2 Deep Learning Market, By Hardware
           8.2.1 Neuromorphic Architecture-Based Chips
           8.2.2 Von Neumann Architecture-Based Chips
    8.3 Deep Learning Market, By Software

9 Deep Learning Market, By End-User Industry (Page No. - 81)
    9.1 Introduction
    9.2 Aerospace & Defense
    9.3 IT & Telecom
    9.4 Medical
    9.5 Automotive
    9.6 Industrial
    9.7 Media & Advertising
    9.8 Finance
    9.9 Retail
    9.10 Oil, Gas, & Energy
    9.11 Other End-User Industries (Agriculture, Education, Law)

10 Geographic Analysis (Page No. - 110)
     10.1 Introduction
     10.2 North America
             10.2.1 U.S.
             10.2.2 Canada
             10.2.3 Mexico
     10.3 Europe
             10.3.1 U.K.
             10.3.2 Germany
             10.3.3 France
             10.3.4 Rest of Europe
     10.4 Asia-Pacific
             10.4.1 China
             10.4.2 Japan
             10.4.3 South Korea
             10.4.4 India
             10.4.5 Rest of APAC
     10.5 Rest of the World

11 Competitive Landscape (Page No. - 126)
     11.1 Overview
     11.2 Market Ranking Analysis: Deep Learning Market, 2015
     11.3 Competitive Situations and Trends
             11.3.1 New Product Launches and Developments
             11.3.2 Partnerships and Collaborations
             11.3.3 Acquisitions

12 Company Profiles (Page No. - 134)
(Business Overview, Products & Services, Key Insights, Recent Developments, SWOT Analysis, MnM View)*
     12.1 Introduction
     12.3 Google Inc.
     12.4 IBM Corporation
     12.5 Intel Corporation
     12.6 Microsoft Corporation
     12.7 Nvidia Corporation
     12.8 Hewlett Packard Enterprise
     12.9 Baidu Inc.
     12.10 Qualcomm Technologies, Inc
     12.11 Sensory Inc.
     12.12 Skymind
     12.13 General Vision Inc.

*Details on Business Overview, Products & Services, Key Insights, Recent Developments, SWOT Analysis, MnM View Might Not Be Captured in Case of Unlisted Companies.

13 Appendix (Page No. - 168)
     13.1 Insights From Industry Experts
     13.2 Discussion Guide
     13.3 Knowledge Store: Marketsandmarkets’ Subscription Portal
     13.4 Introducing RT: Real-Time Market Intelligence
     13.5 Available Customizations
     13.6 Related Reports
     13.7 Author Details


List of Tables (71 Tables)

Table 1 Currency Table
Table 2 Products Launched for Deep Learning
Table 3 Companies Offering Cloud Services for Deep Machine Learning
Table 4 Global Deep Learning Market Revenue, By Application 2013–2022 (USD Million)
Table 5 Deep Learning Market for Image Recognition, By Offering, 2013–2022 (USD Million)
Table 6 Deep Learning Market for Image Recognition, By End-User Industry, 2013–2022 (USD Million)
Table 7 Learning Market for Image Recognition, By Sub Application 2013–2022 (USD Million)
Table 8 Deep Learning Market for Signal Recognition, By Offering, 2013–2022 (USD Million)
Table 9 Deep Learning Market for Signal Recognition, By End-User Industry, 2013–2022 (USD Million)
Table 10 Deep Learning Market for Signal Recognition, By Sub Application, 2013–2022 (USD Million)
Table 11 Deep Learning Market for Data Mining, By Offering, 2013–2022 (USD Million)
Table 12 Deep Learning Market for Data Mining, By End-User Industry, 2013–2022 (USD Million)
Table 13 Deep Learning Market for Data Mining, By Sub Application, 2013–2022 (USD Million)
Table 14 Deep Learning Market for Others, By Offering, 2013–2022 (USD Million)
Table 15 Deep Learning Market for Others, By End-User Industry, 2013–2022 (USD Million)
Table 16 Deep Learning Market for Others, By Sub Application, 2013–2022 (USD Million)
Table 17 Deep Learning Market, By Offering, 2013–2022 (USD Million)
Table 18 Deep Learning Market for Hardware, By Architecture, 2013–2022 (USD Million)
Table 19 Deep Learning Market for Hardware, By Application, 2013–2022 (USD Million)
Table 20 Deep Learning Market for Software, By Application, 2013–2022 (USD Million)
Table 21 Deep Learning Market, By End-User Industry, 2013–2022 (USD Million)
Table 22 Deep Learning Market for Aerospace & Defense Industry, By Application, 2013–2022 (USD Million)
Table 23 Deep Learning Market for Aerospace & Defense in North America, By Country2013–2022 (USD Million)
Table 24 Deep Learning Market for Aerospace & Defense in Europe, By Country 2013–2022 (USD Million)
Table 25 Deep Learning Market for Aerospace & Defense in APAC, By Country 2013–2022 (USD Million)
Table 26 Deep Learning Market for IT & Telecom, By Application, 2013–2022 (USD Million)
Table 27 Deep Learning Market for IT & Telecom in North America, By Country, 2013–2022 (USD Million)
Table 28 Deep Learning Market for IT & Telecom in Europe, By Country, 2013–2022 (USD Million)
Table 29 Deep Learning Market for IT & Telecom in APAC, By Country, 2013–2022 (USD Million)
Table 30 Deep Learning Market for Medical, By Application, 2013–2022 (USD Million)
Table 31 Deep Learning Market for Medical in North America, By Country, 2013–2022 (USD Million)
Table 32 Deep Learning Market for Medical in Europe, By Country, 2013–2022 (USD Million)
Table 33 Deep Learning Market for Medical in APAC, By Country, 2013–2022 ( USD Million)
Table 34 Deep Learning Market for Automotive, By Application, 2013–2022 (USD Million)
Table 35 Deep Learning Market for Automotive in North America, By Country, 2013–2022 (USD Million)
Table 36 Deep Learning Market for Automotive in Europe, By Country, 2013–2022 (USD Million)
Table 37 Deep Learning Market for Automotive in APAC, By Country, 2013–2022 ( USD Million)
Table 38 Deep Learning Market for Industrial, By Application, 2013–2022 (USD Million)
Table 39 Deep Learning Market for Industrial in North America, By Country, 2013–2022 (USD Million)
Table 40 Deep Learning Market for Industrial in Europe, By Country, 2013–2022 (USD Million)
Table 41 Deep Learning Market for Industrial in APAC, By Country, 2013–2022 ( USD Million)
Table 42 Deep Learning Market for Media & Advertising, By Application, 2013–2022 (USD Million)
Table 43 Deep Learning Market for Media & Advertising in North America, By Country, 2013–2022 (USD Million)
Table 44 Deep Learning Market for Media & Advertising in Europe, By Country, 2013–2022 (USD Million)
Table 45 Deep Learning Market for Media & Advertising in APAC, By Country, 2013–2022 (USD Million)
Table 46 Deep Learning Market for Finance, By Application, 2013–2022 (USD Million)
Table 47 Deep Learning Market for Finance in North America, By Country, 2013–2022 (USD Million)
Table 48 Deep Learning Market for Finance in Europe, By Country, 2013–2022 (USD Million)
Table 49 Deep Learning Market for Finance in APAC, By Country, 2013–2022 ( USD Million)
Table 50 Deep Learning Market for Retail, By Application, 2013–2022 (USD Million)
Table 51 Deep Learning Market for Retail in North America,By Country, 2013–2022 (USD Million)
Table 52 Deep Learning Market for Retail in Europe, By Country, 2013–2022 (USD Million)
Table 53 Deep Learning Market for Retail in APAC,By Country, 2013–2022 ( USD Million)
Table 54 Oil, Gas, & Energydeep Learning Market for Oil, Gas, & Energy, By Application, 2013–2022 (USD Million)
Table 55 Deep Learning Market for Oil, Gas, & Energy in North America, By Country, 2013–2022 (USD Million)
Table 56 Deep Learning Market for Oil, Gas, & Energy in Europe, By Country,Oil, Gas, & Energy, 2013–2022 (USD Million)
Table 57 Deep Learning Market for Oil, Gas, & Energy in APAC, By Country,Oil, Gas, & Energy, 2013–2022 ( USD Million)
Table 58 Deep Learning Market for Other Industries, By Application, 2013–2022 (USD Million)
Table 59 Deep Learning Market for Other Industries in North America, By Country, 2013–2022 (USD Million)
Table 60 Deep Learning Market for Other Industries in Europe, By Country, 2013–2022 (USD Million)
Table 61 Deep Learning Market for Other Industries in APAC, By Country, 2013–2022 (USD Million)
Table 62 Global Deep Learning Market, By Region, 2013–2022 (USD Million)
Table 63 Deep Learning Market in North America, By Country, 2013–2022 (USD Million)
Table 64 Deep Learning Market in Europe, By Country, 2013–2022 (USD Million)
Table 65 Deep Learning Market in APAC, By Country, 2013–2022 (USD Million)
Table 66 Deep Learning Market in RoW, By Country, 2013–2022 (USD Million)
Table 67 Market Ranking of the Key Players in the Deep Learning Market, 2015
Table 68 Top 5 Players in the Deep Learning Market, 2015
Table 69 New Product Developments (2013–2016)
Table 70 Partnerships and Collaborations (2014–2016)
Table 71 Acquisitions (2013–2016)


List of Figures (67 Figures)

Figure 1 Market Segmentation
Figure 2 Deep Learning Market: Research Design
Figure 3 Data Triangulation
Figure 4 Research Process Flow
Figure 5 Deep Learning Hardware Market Expected to Grow at the Highest Rate Between 2016 and 2022
Figure 6 Deep Learning Market, By Region (2015)
Figure 7 Medical Sector Expected to Witness the Highest Growth Rate for the Deep Learning Market Between 2016 and 2022
Figure 8 Demand for Image Recognition Technology in Different End-User Industries Drving the Deep Learning Market
Figure 9 Market for Data Mining Application Expected to Grow at the Highest Rate Between 2016 to 2022
Figure 10 North America Expected to Hold the Largest Share of the Deep Learning Market in 2016 and 2022
Figure 11 North America Held the Largest Share of the Deep Learning Market in 2015
Figure 12 North American Deep Learning Market Expected to Grow at A High Rate During the Forecast Period
Figure 13 Deep Learning Market for Hardware Segment Expected to Grow at A Higher Rate Between 2016 and 2022
Figure 14 Segmentation, By Geography
Figure 15 Deep Learning Usage in Big Data Analytics is One of the Key Factors That Would Drive the Growth of the Deep Learning Market
Figure 16 Value Chain Analysis: Major Value Was Added During the Manufacturing and Testing Phases
Figure 17 Key Industry Developments: Innovative Solutions Offered
Figure 18 Porter’s Five Forces Analysis, 2015
Figure 19 Deep Learning Market: Porter’s Five Forces Analysis, 2015
Figure 20 Industry Rivarly Had A High Impact on the Deep Learning Market in 2015
Figure 21 Threat of New Entrants Had A High Impact on the Deep Learning Market in 2015
Figure 22 Bargaining Power of Suppliers Had A Low Impact on the Deep Learning Market in 2015
Figure 23 Bargaining Power of Buyers Had A Low Impact on the Deep Learning Market in 2015
Figure 24 Deep Learning Market Segmentation, By Application
Figure 25 Image Recognition to Hold Major Share in Deep Learning Market Between 2016 and 2022
Figure 26 Deep Learning Market for Medical and Satellite Imaging Sub Application is Expected to Grow at the Highest Rate Between 2016 and 2022
Figure 27 Machine Vision Operation
Figure 28 Types of Signal Recognition
Figure 29 Finance Industry to Lead the Deep Learning Market for Signal Recognition Between 2016 and 2022
Figure 30 Types of Data Mining
Figure 31 Deep Learning Market for Cyber Security Sub Application of Data Mining Application to Grow at Highest Rate Between 2016 and 2022
Figure 32 Medical Industry to Grow at the Highest Rate in Others Application Between 2016 and 2022
Figure 33 Deep Learning Hardware Market Expected to Grow at the Highest Rate Between 2016 and 2022
Figure 34 Data Mining Application of Deep Learning Software Expected to Witness the Highest Growth Rate Between 2016 and 2022
Figure 35 Deep Learning Market for Medical Sector Expected to Grow at the Highest CAGR Between 2016 to 2022
Figure 36 U.S. Led the North American Deep Learning Market for Aerospace & Defense Industry in 2015
Figure 37 Signal Recognition Application for IT & Telecom Industry to Witness the Highest Growth Rate Between 2016 and 2022
Figure 38 China Expected to Hold the Largest Share of the APAC Deep Learning Market for Medical Industry Between 2016 and 2022
Figure 39 Deep Learning Market for Data Mining Application in Automotive Industry Expected to Grow at the Highest Rate Between 2016 and 2022
Figure 40 U.S. Held the Largest Share of the Deep Learning Market for Industrial Sector in North America (2015)
Figure 41 Germany Expected to Hold the Largest Share of the Deep Learning Market in Europe for Media & Advertisement in 2016 and 2022
Figure 42 Deep Learning Market Segmentation, By Region
Figure 43 Geographic Snapshot of Deep Learning Market (2016–2022)
Figure 44 Snapshot of Deep Learning Market in North America
Figure 45 North America Market Segmentation, By Country
Figure 46 Europe Market Segmentation, By Country
Figure 47 Deep Learning Market in Europe for the Rest of Europe to Grow at the Highest Rate Between 2016 and 2022
Figure 48 Snapshot of Deep Learning Market in APAC
Figure 49 APAC Market Segmentation, By Country
Figure 50 Africa to Hold Major Share in RoW for Deep Learning Market Between 2016 and 2022
Figure 51 Companies Adopted New Product Developments as the Key Growth Strategy Between 2013 and 2016
Figure 52 Market Evolution Framework: New Product Developments Was the Major Strategy Adopted By Key Players (2013–2016)
Figure 53 Battle for Market Share: New Product Developments Was the Key Growth Strategy
Figure 54 Geographic Revenue Mix of the Major Market Players (2015)
Figure 55 Google Inc.: Company Snapshot
Figure 56 Google Inc.: SWOT Analysis
Figure 57 IBM Corporation: Company Snapshot
Figure 58 IBM Corporation: SWOT Analysis
Figure 59 Intel Corporation: Company Snapshot
Figure 60 Intel Corporation: SWOT Analysis
Figure 61 Microsoft Corporation : Company Snapshot
Figure 62 Microsoft Corporation :SWOT Analysis
Figure 63 Nvidia Corporation: Company Snapshot
Figure 64 Nvidia Corporation: SWOT Analysis
Figure 65 Hewlett Packard Enterprise: Company Snapshot
Figure 66 Baidu Inc.: Company Snapshot
Figure 67 Qualcomm Technologies, Inc: Company Snapshot

According to the new market research report on deep learning, this market is expected to be worth USD 1,772.9 Million by 2022, growing at a CAGR of 65.3% between 2016 and 2022.  The major driver for the growth is the growing usage of deep learning technology across various industrial vertical such as advertisement, finance, automotive, medical and among other. Other important drivers for this market is the robust R&D for the development of better processing hardware for deep learning.

Of all the major end-user industries, the medical industry has highest growth opportunity. The deep learning technology is highly useful for drug discovery, processing medical images for diagnosis of chronic diseases such as cancer, and virtual patient assistance. This is fuelling the growth of this market for the medical industry.

Of the applications, the image recognition application holds the largest share of the deep learning market as image recognition technology is extensively used for in different industries for pattern recognition, optical character recognition, code recognition, facial recognition, object recognition, and digital image processing.

The software market holds the largest share of the deep learning market owing to the high demand for deep learning solutions across various applications such as autonomous car, data analytics, cybersecurity, and fraud detection, among others.

Deep Learning Market

Of all the regions, North America held the largest market share and is expected to grow at the highest rate till 2022. As the U.S. is investing heavily in the defense sector and the deep learning technology holds a major share of the aerospace and defense industry, it is expected to drive the growth of the market for the deep learning technology in North America.

One of the key restraints for this market is the increasing complexity in hardware due to the complex algorithms used in the deep learning technology. The companies that are profiled in the report are Google Inc. (U.S.), IBM Corporation (U.S.), Intel Corporation (U.S.), Microsoft Corporation (U.S.), Nvidia Corporation (U.S.), Hewlett Packard Enterprise (U.S.), Baidu Inc. (China), Qualcomm Incorporated (U.S.), Sensory Inc.(U.S.), Skymind (U.S.), and General Vision Inc.(U.S.).

Google Inc. (U.S.) is among the leaders in the deep learning market. The company is developing deep learning technology for applications such as image recognition, speech recognition, handwriting recognition, and others. The company majorly adopted the strategy of new product developments, collaborations, and acquisitions to expand its presence in the deep learning market. For instance, Google acquired DeepMind Technologies (U.K.), an artificial intelligence startup company, for USD 600 million.

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