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PUBLISHER: IMARC | PRODUCT CODE: 1236876

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PUBLISHER: IMARC | PRODUCT CODE: 1236876

Deep Learning Market: Global Industry Trends, Share, Size, Growth, Opportunity and Forecast 2023-2028

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The global deep learning market size reached US$ 17.2 Billion in 2022. Looking forward, IMARC Group expects the market to reach US$ 113.0 Billion by 2028, exhibiting a growth rate (CAGR) of 38.2% during 2023-2028.

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.

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 report, along with forecasts at the global, regional and country level from 2023-2028. Our report has categorized the market based on product type, application, end-use industry and architecture.

Breakup by Product Type:

  • 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:

  • 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.

Key Questions Answered in This Report:

  • 1. What was the size of the global deep learning market in 2022?
  • 2. What is the expected growth rate of the global deep learning market during 2023-2028?
  • 3. What has been the impact of COVID-19 on the global deep learning market?
  • 4. What are the key factors driving the global deep learning market?
  • 5. What is the breakup of the global deep learning market based on the product type?
  • 6. What is the breakup of the global deep learning market based on the application?
  • 7. What is the breakup of the global deep learning market based on the end-use industry?
  • 8. What are the key regions in the global deep learning market?
  • 9. Who are the key players/companies in the global deep learning market?
Product Code: SR1523A141_Report

Table of Contents

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
Product Code: SR1523A141_Report

List of Figures

  • Figure 1: Global: Deep Learning Market: Major Drivers and Challenges
  • Figure 2: Global: Deep Learning Market: Sales Value (in Billion US$), 2017-2022
  • Figure 3: Global: Deep Learning Market: Breakup by Product Type (in %), 2022
  • Figure 4: Global: Deep Learning Market: Breakup by Application (in %), 2022
  • Figure 5: Global: Deep Learning Market: Breakup by End-Use Industry (in %), 2022
  • Figure 6: Global: Deep Learning Market: Breakup by Architecture (in %), 2022
  • Figure 7: Global: Deep Learning Market: Breakup by Region (in %), 2022
  • Figure 8: Global: Deep Learning Market Forecast: Sales Value (in Billion US$), 2023-2028
  • Figure 9: Global: Deep Learning (Software) Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 10: Global: Deep Learning (Software) Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 11: Global: Deep Learning (Services) Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 12: Global: Deep Learning (Services) Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 13: Global: Deep Learning (Hardware) Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 14: Global: Deep Learning (Hardware) Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 15: Global: Deep Learning (Image Recognition) Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 16: Global: Deep Learning (Image Recognition) Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 17: Global: Deep Learning (Signal Recognition) Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 18: Global: Deep Learning (Signal Recognition) Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 19: Global: Deep Learning (Data Mining) Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 20: Global: Deep Learning (Data Mining) Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 21: Global: Deep Learning (Other Applications) Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 22: Global: Deep Learning (Other Applications) Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 23: Global: Deep Learning (Security) Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 24: Global: Deep Learning (Security) Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 25: Global: Deep Learning (Manufacturing) Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 26: Global: Deep Learning (Manufacturing) Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 27: Global: Deep Learning (Retail) Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 28: Global: Deep Learning (Retail) Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 29: Global: Deep Learning (Automotive) Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 30: Global: Deep Learning (Automotive) Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 31: Global: Deep Learning (Healthcare) Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 32: Global: Deep Learning (Healthcare) Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 33: Global: Deep Learning (Agriculture) Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 34: Global: Deep Learning (Agriculture) Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 35: Global: Deep Learning (Other End-Use Industries) Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 36: Global: Deep Learning (Other End-Use Industries) Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 37: Global: Deep Learning (RNN) Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 38: Global: Deep Learning (RNN) Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 39: Global: Deep Learning (CNN) Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 40: Global: Deep Learning (CNN) Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 41: Global: Deep Learning (DBN) Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 42: Global: Deep Learning (DBN) Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 43: Global: Deep Learning (DSN) Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 44: Global: Deep Learning (DSN) Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 45: Global: Deep Learning (GRU) Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 46: Global: Deep Learning (GRU) Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 47: North America: Deep Learning Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 48: North America: Deep Learning Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 49: United States: Deep Learning Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 50: United States: Deep Learning Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 51: Canada: Deep Learning Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 52: Canada: Deep Learning Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 53: Asia Pacific: Deep Learning Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 54: Asia Pacific: Deep Learning Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 55: China: Deep Learning Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 56: China: Deep Learning Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 57: Japan: Deep Learning Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 58: Japan: Deep Learning Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 59: India: Deep Learning Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 60: India: Deep Learning Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 61: South Korea: Deep Learning Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 62: South Korea: Deep Learning Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 63: Australia: Deep Learning Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 64: Australia: Deep Learning Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 65: Indonesia: Deep Learning Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 66: Indonesia: Deep Learning Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 67: Others: Deep Learning Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 68: Others: Deep Learning Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 69: Europe: Deep Learning Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 70: Europe: Deep Learning Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 71: Germany: Deep Learning Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 72: Germany: Deep Learning Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 73: France: Deep Learning Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 74: France: Deep Learning Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 75: United Kingdom: Deep Learning Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 76: United Kingdom: Deep Learning Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 77: Italy: Deep Learning Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 78: Italy: Deep Learning Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 79: Spain: Deep Learning Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 80: Spain: Deep Learning Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 81: Russia: Deep Learning Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 82: Russia: Deep Learning Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 83: Others: Deep Learning Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 84: Others: Deep Learning Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 85: Latin America: Deep Learning Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 86: Latin America: Deep Learning Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 87: Brazil: Deep Learning Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 88: Brazil: Deep Learning Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 89: Mexico: Deep Learning Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 90: Mexico: Deep Learning Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 91: Others: Deep Learning Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 92: Others: Deep Learning Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 93: Middle East and Africa: Deep Learning Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 94: Middle East and Africa: Deep Learning Market Forecast: Sales Value (in Million US$), 2023-2028
  • 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, 2022 and 2028
  • Table 2: Global: Deep Learning Market Forecast: Breakup by Product Type (in Million US$), 2023-2028
  • Table 3: Global: Deep Learning Market Forecast: Breakup by Application (in Million US$), 2023-2028
  • Table 4: Global: Deep Learning Market Forecast: Breakup by End-Use Industry (in Million US$), 2023-2028
  • Table 5: Global: Deep Learning Market Forecast: Breakup by Architecture (in Million US$), 2023-2028
  • Table 6: Global: Deep Learning Market Forecast: Breakup by Region (in Million US$), 2023-2028
  • Table 7: Global: Deep Learning Market: Competitive Structure
  • Table 8: Global: Deep Learning Market: Key Players
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