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Deep Learning Market: Global Industry Trends, Share, Size, Growth, Opportunity and Forecast 2022-2027

Market Overview:

The global deep learning market reached a value of US$ 12 Billion in 2021. Looking forward, IMARC Group expects the market to reach US$ 84.8 Billion by 2027, exhibiting a CAGR of 39.8% during 2022-2027. Keeping in mind the uncertainties of COVID-19, we are continuously tracking and evaluating the direct as well as the indirect influence of the pandemic on different end use industries. These insights are included in the report as a major market contributor.

Deep learning, or deep structured learning, is a division of machine learning that uses layered algorithmic models for analyzing data. It is a crucial component of data science, which uses statistics and predictive modeling for collecting, analyzing and interpreting large amounts of information. It also involves the use of artificial intelligence (AI) to imitate the functioning of the human brain while processing data, forming patterns and making decisions. This technology is commonly used in image recognition tools, natural language processing (NLP) and speech recognition software, self-driving vehicles and language translation services and finds extensive applications across the retail, healthcare, automotive, agriculture, security and manufacturing industries.

 

 
 

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The expanding information technology (IT) industry, along with the rising trend of digitalization, is one of the key factors driving the growth of the market. In comparison to the traditionally used computing systems, deep learning algorithms can automatically intercept available data points, which enhances the efficiency and accuracy of the decision-making process. Furthermore, deep learning solutions are widely employed for cybersecurity, database management and fraud detection systems. They are also utilized for processing medical images for disease diagnosis and drug discovery and offering virtual patient assistance in the healthcare sector, which is contributing to the widespread adoption of the technology. Other factors, including its integration with big data analytics and cloud computing, along with extensive research and development (R&D) activities to develop improved hardware and software processing solutions for deep learning, are projected to drive the market in the coming years.

Key Market Segmentation:

IMARC Group provides an analysis of the key trends in each sub-segment of the global deep learning market, along with forecasts at the global, regional and country level from 2022-2027. Our report has categorized the market based on product type, application, end-use industry and architecture.

Breakup by Product Type:

 

 
 

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  • Software
  • Services
  • Hardware
     

Breakup by Application:

  • Image Recognition
  • Signal Recognition
  • Data Mining
  • Others
     

Breakup by End-Use Industry:

  • Security
  • Manufacturing
  • Retail
  • Automotive
  • Healthcare
  • Agriculture
  • Others
     

Breakup by Architecture:

  • RNN
  • CNN
  • DBN
  • DSN
  • GRU
     

Breakup by Region:

 

 
 

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  • North America
    • United States
    • Canada
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Australia
    • Indonesia
    • Others
  • Europe
    • Germany
    • France
    • United Kingdom
    • Italy
    • Spain
    • Russia
    • Others
  • Latin America
    • Brazil
    • Mexico
    • Others
  • Middle East and Africa
     

Competitive Landscape:

The report has also analysed the competitive landscape of the market with some of the key players being Amazon Web Services (AWS), Google Inc., IBM, Intel, Micron Technology, Microsoft Corporation, Nvidia, Qualcomm, Samsung Electronics, Sensory Inc., Pathmind, Inc., Xilinx, etc.

Report Coverage:

Report Features Details
Base Year of the Analysis 2021
Historical Period 2016-2021
Forecast Period 2022-2027
Units US$ Billion
Segment Coverage Product Type, Application, End-Use Industry, Architecture, Region
Region Covered  Asia Pacific, Europe, North America, Latin America, Middle East and Africa
Countries Covered United States, Canada, Germany, France, United Kingdom, Italy, Spain, Russia, China, Japan, India, South Korea, Australia, Indonesia, Brazil, Mexico
Companies Covered Amazon Web Services (AWS), Google Inc., IBM, Intel, Micron Technology, Microsoft Corporation, Nvidia, Qualcomm, Samsung Electronics, Sensory Inc., Pathmind, Inc. and Xilinx
Customization Scope 10% Free Customization
Report Price and Purchase Option Single User License: US$ 2499
Five User License: US$ 3499
Corporate License: US$ 4499
Post-Sale Analyst Support 10-12 Weeks
Delivery Format PDF and Excel through Email (We can also provide the editable version of the report in PPT/Word format on special request)

 

1   Preface
2   Scope and Methodology

    2.1    Objectives of the Study
    2.2    Stakeholders
    2.3    Data Sources
        2.3.1    Primary Sources
        2.3.2    Secondary Sources
    2.4    Market Estimation
        2.4.1    Bottom-Up Approach
        2.4.2    Top-Down Approach
    2.5    Forecasting Methodology
3   Executive Summary
4   Introduction

    4.1    Overview
    4.2    Key Industry Trends
5   Global Deep Learning Market
    5.1    Market Overview
    5.2    Market Performance
    5.3    Impact of COVID-19
    5.4    Market Forecast
6   Market Breakup by Product Type
    6.1    Software
        6.1.1 Market Trends
        6.1.2 Market Forecast
    6.2    Services
        6.2.1 Market Trends
        6.2.2 Market Forecast
    6.3    Hardware
        6.3.1 Market Trends
        6.3.2 Market Forecast
7   Market Breakup by Application
    7.1    Image Recognition
        7.1.1 Market Trends
        7.1.2 Market Forecast
    7.2    Signal Recognition
        7.2.1 Market Trends
        7.2.2 Market Forecast
    7.3    Data Mining
        7.3.1 Market Trends
        7.3.2 Market Forecast
    7.4    Others
        7.4.1 Market Trends
        7.4.2 Market Forecast
8   Market Breakup by End-Use Industry
    8.1    Security
        8.1.1 Market Trends
        8.1.2 Market Forecast
    8.2    Manufacturing
        8.2.1 Market Trends
        8.2.2 Market Forecast
    8.3    Retail
        8.3.1 Market Trends
        8.3.2 Market Forecast
    8.4    Automotive
        8.4.1 Market Trends
        8.4.2 Market Forecast
    8.5    Healthcare
        8.5.1 Market Trends
        8.5.2 Market Forecast
    8.6    Agriculture
        8.6.1 Market Trends
        8.6.2 Market Forecast
    8.7    Others
        8.7.1 Market Trends
        8.7.2 Market Forecast
9   Market Breakup by Architecture
    9.1    RNN
        9.1.1 Market Trends
        9.1.2 Market Forecast
    9.2    CNN
        9.2.1 Market Trends
        9.2.2 Market Forecast
    9.3    DBN
        9.3.1 Market Trends
        9.3.2 Market Forecast
    9.4    DSN
        9.4.1 Market Trends
        9.4.2 Market Forecast
    9.5    GRU
        9.5.1 Market Trends
        9.5.2 Market Forecast
10  Market Breakup by Region
    10.1    North America
        10.1.1 United States
           10.1.1.1 Market Trends
           10.1.1.2 Market Forecast
        10.1.2 Canada
           10.1.2.1 Market Trends
           10.1.2.2 Market Forecast
    10.2    Asia Pacific
        10.2.1 China
           10.2.1.1 Market Trends
           10.2.1.2 Market Forecast
        10.2.2 Japan
           10.2.2.1 Market Trends
           10.2.2.2 Market Forecast
        10.2.3 India
           10.2.3.1 Market Trends
           10.2.3.2 Market Forecast
        10.2.4 South Korea
           10.2.4.1 Market Trends
           10.2.4.2 Market Forecast
        10.2.5 Australia
           10.2.5.1 Market Trends
           10.2.5.2 Market Forecast
        10.2.6 Indonesia
           10.2.6.1 Market Trends
           10.2.6.2 Market Forecast
        10.2.7 Others
           10.2.7.1 Market Trends
           10.2.7.2 Market Forecast
    10.3    Europe
        10.3.1 Germany
           10.3.1.1 Market Trends
           10.3.1.2 Market Forecast
        10.3.2 France
           10.3.2.1 Market Trends
           10.3.2.2 Market Forecast
        10.3.3 United Kingdom
           10.3.3.1 Market Trends
           10.3.3.2 Market Forecast
        10.3.4 Italy
           10.3.4.1 Market Trends
           10.3.4.2 Market Forecast
        10.3.5 Spain
           10.3.5.1 Market Trends
           10.3.5.2 Market Forecast
        10.3.6 Russia
           10.3.6.1 Market Trends
           10.3.6.2 Market Forecast
        10.3.7 Others
           10.3.7.1 Market Trends
           10.3.7.2 Market Forecast
    10.4    Latin America
        10.4.1 Brazil
           10.4.1.1 Market Trends
           10.4.1.2 Market Forecast
        10.4.2 Mexico
           10.4.2.1 Market Trends
           10.4.2.2 Market Forecast
        10.4.3 Others
           10.4.3.1 Market Trends
           10.4.3.2 Market Forecast
    10.5    Middle East and Africa
        10.5.1 Market Trends
        10.5.2 Market Breakup by Country
        10.5.3 Market Forecast
11  SWOT Analysis
    11.1    Overview
    11.2    Strengths
    11.3    Weaknesses
    11.4    Opportunities
    11.5    Threats
12  Value Chain Analysis
13  Porters Five Forces Analysis

    13.1    Overview
    13.2    Bargaining Power of Buyers
    13.3    Bargaining Power of Suppliers
    13.4    Degree of Competition
    13.5    Threat of New Entrants
    13.6    Threat of Substitutes
14  Competitive Landscape
    14.1    Market Structure
    14.2    Key Players
    14.3    Profiles of Key Players
        14.3.1    Amazon Web Services (AWS)
           14.3.1.1 Company Overview
           14.3.1.2 Product Portfolio
        14.3.2    Google Inc.
           14.3.2.1 Company Overview
           14.3.2.2 Product Portfolio
           14.3.2.3 SWOT Analysis
        14.3.3    IBM
           14.3.3.1 Company Overview
           14.3.3.2 Product Portfolio
        14.3.4    Intel
           14.3.4.1 Company Overview
           14.3.4.2 Product Portfolio
           14.3.4.3 Financials
           14.3.4.4 SWOT Analysis
        14.3.5    Micron Technology
           14.3.5.1 Company Overview
           14.3.5.2 Product Portfolio
           14.3.5.3 Financials
           14.3.5.4 SWOT Analysis
        14.3.6    Microsoft Corporation
           14.3.6.1 Company Overview
           14.3.6.2 Product Portfolio
           14.3.6.3 Financials
           14.3.6.4 SWOT Analysis
        14.3.7    Nvidia
           14.3.7.1 Company Overview
           14.3.7.2 Product Portfolio
           14.3.7.3 Financials
           14.3.7.4 SWOT Analysis
        14.3.8    Qualcomm
           14.3.8.1 Company Overview
           14.3.8.2 Product Portfolio
           14.3.8.3 Financials
           14.3.8.4 SWOT Analysis
        14.3.9    Samsung Electronics
           14.3.9.1 Company Overview
           14.3.9.2 Product Portfolio
        14.3.10    Sensory Inc.
           14.3.10.1 Company Overview
           14.3.10.2 Product Portfolio
        14.3.11    Pathmind Inc.
           14.3.11.1 Company Overview
           14.3.11.2 Product Portfolio
        14.3.12    Xilinx
           14.3.12.1 Company Overview
           14.3.12.2 Product Portfolio
           14.3.12.3 Financials
           14.3.12.4 SWOT Analysis

List of Figures

Figure 1: Global: Deep Learning Market: Major Drivers and Challenges
Figure 2: Global: Deep Learning Market: Sales Value (in Billion US$), 2016-2021
Figure 3: Global: Deep Learning Market: Breakup by Product Type (in %), 2021
Figure 4: Global: Deep Learning Market: Breakup by Application (in %), 2021
Figure 5: Global: Deep Learning Market: Breakup by End-Use Industry (in %), 2021
Figure 6: Global: Deep Learning Market: Breakup by Architecture (in %), 2021
Figure 7: Global: Deep Learning Market: Breakup by Region (in %), 2021
Figure 8: Global: Deep Learning Market Forecast: Sales Value (in Billion US$), 2022-2027
Figure 9: Global: Deep Learning (Software) Market: Sales Value (in Million US$), 2016 & 2021
Figure 10: Global: Deep Learning (Software) Market Forecast: Sales Value (in Million US$), 2022-2027
Figure 11: Global: Deep Learning (Services) Market: Sales Value (in Million US$), 2016 & 2021
Figure 12: Global: Deep Learning (Services) Market Forecast: Sales Value (in Million US$), 2022-2027
Figure 13: Global: Deep Learning (Hardware) Market: Sales Value (in Million US$), 2016 & 2021
Figure 14: Global: Deep Learning (Hardware) Market Forecast: Sales Value (in Million US$), 2022-2027
Figure 15: Global: Deep Learning (Image Recognition) Market: Sales Value (in Million US$), 2016 & 2021
Figure 16: Global: Deep Learning (Image Recognition) Market Forecast: Sales Value (in Million US$), 2022-2027
Figure 17: Global: Deep Learning (Signal Recognition) Market: Sales Value (in Million US$), 2016 & 2021
Figure 18: Global: Deep Learning (Signal Recognition) Market Forecast: Sales Value (in Million US$), 2022-2027
Figure 19: Global: Deep Learning (Data Mining) Market: Sales Value (in Million US$), 2016 & 2021
Figure 20: Global: Deep Learning (Data Mining) Market Forecast: Sales Value (in Million US$), 2022-2027
Figure 21: Global: Deep Learning (Other Applications) Market: Sales Value (in Million US$), 2016 & 2021
Figure 22: Global: Deep Learning (Other Applications) Market Forecast: Sales Value (in Million US$), 2022-2027
Figure 23: Global: Deep Learning (Security) Market: Sales Value (in Million US$), 2016 & 2021
Figure 24: Global: Deep Learning (Security) Market Forecast: Sales Value (in Million US$), 2022-2027
Figure 25: Global: Deep Learning (Manufacturing) Market: Sales Value (in Million US$), 2016 & 2021
Figure 26: Global: Deep Learning (Manufacturing) Market Forecast: Sales Value (in Million US$), 2022-2027
Figure 27: Global: Deep Learning (Retail) Market: Sales Value (in Million US$), 2016 & 2021
Figure 28: Global: Deep Learning (Retail) Market Forecast: Sales Value (in Million US$), 2022-2027
Figure 29: Global: Deep Learning (Automotive) Market: Sales Value (in Million US$), 2016 & 2021
Figure 30: Global: Deep Learning (Automotive) Market Forecast: Sales Value (in Million US$), 2022-2027
Figure 31: Global: Deep Learning (Healthcare) Market: Sales Value (in Million US$), 2016 & 2021
Figure 32: Global: Deep Learning (Healthcare) Market Forecast: Sales Value (in Million US$), 2022-2027
Figure 33: Global: Deep Learning (Agriculture) Market: Sales Value (in Million US$), 2016 & 2021
Figure 34: Global: Deep Learning (Agriculture) Market Forecast: Sales Value (in Million US$), 2022-2027
Figure 35: Global: Deep Learning (Other End-Use Industries) Market: Sales Value (in Million US$), 2016 & 2021
Figure 36: Global: Deep Learning (Other End-Use Industries) Market Forecast: Sales Value (in Million US$), 2022-2027
Figure 37: Global: Deep Learning (RNN) Market: Sales Value (in Million US$), 2016 & 2021
Figure 38: Global: Deep Learning (RNN) Market Forecast: Sales Value (in Million US$), 2022-2027
Figure 39: Global: Deep Learning (CNN) Market: Sales Value (in Million US$), 2016 & 2021
Figure 40: Global: Deep Learning (CNN) Market Forecast: Sales Value (in Million US$), 2022-2027
Figure 41: Global: Deep Learning (DBN) Market: Sales Value (in Million US$), 2016 & 2021
Figure 42: Global: Deep Learning (DBN) Market Forecast: Sales Value (in Million US$), 2022-2027
Figure 43: Global: Deep Learning (DSN) Market: Sales Value (in Million US$), 2016 & 2021
Figure 44: Global: Deep Learning (DSN) Market Forecast: Sales Value (in Million US$), 2022-2027
Figure 45: Global: Deep Learning (GRU) Market: Sales Value (in Million US$), 2016 & 2021
Figure 46: Global: Deep Learning (GRU) Market Forecast: Sales Value (in Million US$), 2022-2027
Figure 47: North America: Deep Learning Market: Sales Value (in Million US$), 2016 & 2021
Figure 48: North America: Deep Learning Market Forecast: Sales Value (in Million US$), 2022-2027
Figure 49: United States: Deep Learning Market: Sales Value (in Million US$), 2016 & 2021
Figure 50: United States: Deep Learning Market Forecast: Sales Value (in Million US$), 2022-2027
Figure 51: Canada: Deep Learning Market: Sales Value (in Million US$), 2016 & 2021
Figure 52: Canada: Deep Learning Market Forecast: Sales Value (in Million US$), 2022-2027
Figure 53: Asia Pacific: Deep Learning Market: Sales Value (in Million US$), 2016 & 2021
Figure 54: Asia Pacific: Deep Learning Market Forecast: Sales Value (in Million US$), 2022-2027
Figure 55: China: Deep Learning Market: Sales Value (in Million US$), 2016 & 2021
Figure 56: China: Deep Learning Market Forecast: Sales Value (in Million US$), 2022-2027
Figure 57: Japan: Deep Learning Market: Sales Value (in Million US$), 2016 & 2021
Figure 58: Japan: Deep Learning Market Forecast: Sales Value (in Million US$), 2022-2027
Figure 59: India: Deep Learning Market: Sales Value (in Million US$), 2016 & 2021
Figure 60: India: Deep Learning Market Forecast: Sales Value (in Million US$), 2022-2027
Figure 61: South Korea: Deep Learning Market: Sales Value (in Million US$), 2016 & 2021
Figure 62: South Korea: Deep Learning Market Forecast: Sales Value (in Million US$), 2022-2027
Figure 63: Australia: Deep Learning Market: Sales Value (in Million US$), 2016 & 2021
Figure 64: Australia: Deep Learning Market Forecast: Sales Value (in Million US$), 2022-2027
Figure 65: Indonesia: Deep Learning Market: Sales Value (in Million US$), 2016 & 2021
Figure 66: Indonesia: Deep Learning Market Forecast: Sales Value (in Million US$), 2022-2027
Figure 67: Others: Deep Learning Market: Sales Value (in Million US$), 2016 & 2021
Figure 68: Others: Deep Learning Market Forecast: Sales Value (in Million US$), 2022-2027
Figure 69: Europe: Deep Learning Market: Sales Value (in Million US$), 2016 & 2021
Figure 70: Europe: Deep Learning Market Forecast: Sales Value (in Million US$), 2022-2027
Figure 71: Germany: Deep Learning Market: Sales Value (in Million US$), 2016 & 2021
Figure 72: Germany: Deep Learning Market Forecast: Sales Value (in Million US$), 2022-2027
Figure 73: France: Deep Learning Market: Sales Value (in Million US$), 2016 & 2021
Figure 74: France: Deep Learning Market Forecast: Sales Value (in Million US$), 2022-2027
Figure 75: United Kingdom: Deep Learning Market: Sales Value (in Million US$), 2016 & 2021
Figure 76: United Kingdom: Deep Learning Market Forecast: Sales Value (in Million US$), 2022-2027
Figure 77: Italy: Deep Learning Market: Sales Value (in Million US$), 2016 & 2021
Figure 78: Italy: Deep Learning Market Forecast: Sales Value (in Million US$), 2022-2027
Figure 79: Spain: Deep Learning Market: Sales Value (in Million US$), 2016 & 2021
Figure 80: Spain: Deep Learning Market Forecast: Sales Value (in Million US$), 2022-2027
Figure 81: Russia: Deep Learning Market: Sales Value (in Million US$), 2016 & 2021
Figure 82: Russia: Deep Learning Market Forecast: Sales Value (in Million US$), 2022-2027
Figure 83: Others: Deep Learning Market: Sales Value (in Million US$), 2016 & 2021
Figure 84: Others: Deep Learning Market Forecast: Sales Value (in Million US$), 2022-2027
Figure 85: Latin America: Deep Learning Market: Sales Value (in Million US$), 2016 & 2021
Figure 86: Latin America: Deep Learning Market Forecast: Sales Value (in Million US$), 2022-2027
Figure 87: Brazil: Deep Learning Market: Sales Value (in Million US$), 2016 & 2021
Figure 88: Brazil: Deep Learning Market Forecast: Sales Value (in Million US$), 2022-2027
Figure 89: Mexico: Deep Learning Market: Sales Value (in Million US$), 2016 & 2021
Figure 90: Mexico: Deep Learning Market Forecast: Sales Value (in Million US$), 2022-2027
Figure 91: Others: Deep Learning Market: Sales Value (in Million US$), 2016 & 2021
Figure 92: Others: Deep Learning Market Forecast: Sales Value (in Million US$), 2022-2027
Figure 93: Middle East and Africa: Deep Learning Market: Sales Value (in Million US$), 2016 & 2021
Figure 94: Middle East and Africa: Deep Learning Market Forecast: Sales Value (in Million US$), 2022-2027
Figure 95: Global: Deep Learning Industry: SWOT Analysis
Figure 96: Global: Deep Learning Industry: Value Chain Analysis
Figure 97: Global: Deep Learning Industry: Porter’s Five Forces Analysis

List of Tables

Table 1: Global: Deep Learning Market: Key Industry Highlights, 2021 and 2027
Table 2: Global: Deep Learning Market Forecast: Breakup by Product Type (in Million US$), 2022-2027
Table 3: Global: Deep Learning Market Forecast: Breakup by Application (in Million US$), 2022-2027
Table 4: Global: Deep Learning Market Forecast: Breakup by End-Use Industry (in Million US$), 2022-2027
Table 5: Global: Deep Learning Market Forecast: Breakup by Architecture (in Million US$), 2022-2027
Table 6: Global: Deep Learning Market Forecast: Breakup by Region (in Million US$), 2022-2027
Table 7: Global: Deep Learning Market: Competitive Structure
Table 8: Global: Deep Learning Market: Key Players


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Key Questions Answered in This Report

The global deep learning market was valued at US$ 12 Billion in 2021.

We expect the global deep learning market to exhibit a CAGR of 39.8% during 2022-2027.

The sudden outbreak of the COVID-19 pandemic has led to the increasing demand for deep learning technology in processing medical images and drug discovery applications, along with offering virtual patient assistance to limit the hospital visits to mitigate the risk of the coronavirus infection.

The growing integration of deep learning technology with AI solution for imitating the functioning of the human brain while processing data, forming patterns, and making decisions is primarily driving the global deep learning market.

Based on the product type, the global deep learning market can be segmented into software, services, and hardware. Currently, software holds the majority of the total market share.

Based on the application, the global deep learning market has been divided into image recognition, signal recognition, data mining, and others. Among these, image recognition currently exhibits a clear dominance in the market.

Based on the end-use industry, the global deep learning market can be categorized into security, manufacturing, retail, automotive, healthcare, agriculture, and others. Currently, the security industry accounts for the largest market share.

On a regional level, the market has been classified into North America, Asia Pacific, Europe, Latin America, and Middle East and Africa, where North America currently dominates the global market.

Some of the major players in the global deep learning market include Amazon Web Services (AWS), Google Inc., IBM, Intel, Micron Technology, Microsoft Corporation, Nvidia, Qualcomm, Samsung Electronics, Sensory Inc., Pathmind, Inc., Xilinx, etc.

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