市場調查報告書
商品編碼
1015499

深度學習市場:全球產業趨勢,佔有率,規模,成長,機會,預測(2021∼2026年)

Deep Learning Market: Global Industry Trends, Share, Size, Growth, Opportunity and Forecast 2021-2026

出版日期: | 出版商: IMARC Services Private Limited | 英文 145 Pages | 商品交期: 2-3個工作天內

價格
  • 全貌
  • 簡介
  • 目錄
簡介

全球深度學習的市場規模,從2015年到2020年之間顯示強力的成長。該技術通常用於圖像識別工具、自然語言處理 (NLP) 和語音識別軟體、自動駕駛汽車和語言翻譯服務,並在零售、醫療保健、汽車、農業、安全和製造行業取得廣泛應用。

不斷擴大的訊息技術(IT)產業,以及數位化趨勢的上升,是推動市場成長的關鍵因素之一。 此外,深度學習解決方案廣泛用於網路安全、資料庫管理和欺詐檢測系統。還用於處理用於疾病診斷和藥物發現的醫學圖像,並在醫療保健領域提供虛擬患者幫助,這有助於該技術的廣泛採用。其他因素,包括其與大資料分析和雲端運算的整合,以及為深度學習開發改進的硬體和軟體處理解決方案的廣泛研發 (R&D) 活動,預計將在未來幾年推動市場發展。從2021年到2026年之間全球深度學習市場預計以約40%的年複合成長率成長。

本報告提供深度學習市場相關調查,市場概要,以及各產品類型,各用途,各最終用途產業,架構,各地區的趨勢,及加入此市場的主要企業簡介等資訊。

目錄

第1章 序文

第2章 範圍與調查手法

第3章 摘要整理

第4章 簡介

第5章 全球深度學習市場

  • 市場概要
  • 市場效能
  • COVID-19的影響

第6章 市場區隔,各產品類型

  • 軟體
  • 服務
  • 硬體設備

第7章 市場區隔,各用途

  • 影像識別
  • 訊號認識
  • 資料探勘
  • 其他

第8章 市場區隔,各最終用途產業

  • 安全
  • 製造
  • 零售
  • 汽車
  • 醫療保健
  • 農業
  • 其他

第9章 市場區隔,各架構

  • RNN
  • CNN
  • DBN
  • DSN
  • GRU

第10章 市場區隔,各地區

  • 北美
    • 美國
    • 加拿大
  • 亞太地區
    • 中國
    • 日本
    • 印度
    • 韓國
    • 澳洲
    • 印尼
    • 其他
  • 歐洲
    • 德國
    • 法國
    • 英國
    • 義大利
    • 西班牙
    • 俄羅斯
    • 其他
  • 南美
    • 巴西
    • 墨西哥
    • 其他
  • 中東和非洲
    • 各國市場區隔

第11章 SWOT分析

第12章 價值鏈分析

第13章 波特五力分析

第14章 競爭情形

  • 市場結構
  • 主要參與者
  • 主要參與者的簡介
    • Amazon Web Services(AWS)
    • Google Inc.
    • IBM
    • Intel
    • Micron Technology
    • Microsoft Corporation
    • Nvidia
    • Qualcomm
    • Samsung Electronics
    • Sensory Inc.
    • Pathmind Inc.
    • Xilinx
目錄
Product Code: SR1020D219_Report

The global deep learning market exhibited robust growth during 2015-2020. 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. Looking forward, IMARC Group expects the global deep learning market to grow at a CAGR of around 40% during 2021-2026.

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:

  • How has the global deep learning market performed so far and how will it perform in the coming years?
  • What are the key regional markets?
  • What has been the impact of COVID-19 on the global deep learning market?
  • What is the breakup of the market based on the product type?
  • What is the breakup of the market based on the application?
  • What is the breakup of the market based on the end-use industry?
  • What is the breakup of the market based on the architecture?
  • What are the various stages in the value chain of the industry?
  • What are the key driving factors and challenges in the industry?
  • What is the structure of the global deep learning market and who are the key players?
  • What is the degree of competition in the industry?

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
      • 14.3.8.3 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$), 2015-2020
  • Figure 3: Global: Deep Learning Market: Breakup by Product Type (in %), 2020
  • Figure 4: Global: Deep Learning Market: Breakup by Application (in %), 2020
  • Figure 5: Global: Deep Learning Market: Breakup by End-Use Industry (in %), 2020
  • Figure 6: Global: Deep Learning Market: Breakup by Architecture (in %), 2020
  • Figure 7: Global: Deep Learning Market: Breakup by Region (in %), 2020
  • Figure 8: Global: Deep Learning Market Forecast: Sales Value (in Billion US$), 2021-2026
  • Figure 9: Global: Deep Learning (Software) Market: Sales Value (in Million US$), 2015 & 2020
  • Figure 10: Global: Deep Learning (Software) Market Forecast: Sales Value (in Million US$), 2021-2026
  • Figure 11: Global: Deep Learning (Services) Market: Sales Value (in Million US$), 2015 & 2020
  • Figure 12: Global: Deep Learning (Services) Market Forecast: Sales Value (in Million US$), 2021-2026
  • Figure 13: Global: Deep Learning (Hardware) Market: Sales Value (in Million US$), 2015 & 2020
  • Figure 14: Global: Deep Learning (Hardware) Market Forecast: Sales Value (in Million US$), 2021-2026
  • Figure 15: Global: Deep Learning (Image Recognition) Market: Sales Value (in Million US$), 2015 & 2020
  • Figure 16: Global: Deep Learning (Image Recognition) Market Forecast: Sales Value (in Million US$), 2021-2026
  • Figure 17: Global: Deep Learning (Signal Recognition) Market: Sales Value (in Million US$), 2015 & 2020
  • Figure 18: Global: Deep Learning (Signal Recognition) Market Forecast: Sales Value (in Million US$), 2021-2026
  • Figure 19: Global: Deep Learning (Data Mining) Market: Sales Value (in Million US$), 2015 & 2020
  • Figure 20: Global: Deep Learning (Data Mining) Market Forecast: Sales Value (in Million US$), 2021-2026
  • Figure 21: Global: Deep Learning (Other Applications) Market: Sales Value (in Million US$), 2015 & 2020
  • Figure 22: Global: Deep Learning (Other Applications) Market Forecast: Sales Value (in Million US$), 2021-2026
  • Figure 23: Global: Deep Learning (Security) Market: Sales Value (in Million US$), 2015 & 2020
  • Figure 24: Global: Deep Learning (Security) Market Forecast: Sales Value (in Million US$), 2021-2026
  • Figure 25: Global: Deep Learning (Manufacturing) Market: Sales Value (in Million US$), 2015 & 2020
  • Figure 26: Global: Deep Learning (Manufacturing) Market Forecast: Sales Value (in Million US$), 2021-2026
  • Figure 27: Global: Deep Learning (Retail) Market: Sales Value (in Million US$), 2015 & 2020
  • Figure 28: Global: Deep Learning (Retail) Market Forecast: Sales Value (in Million US$), 2021-2026
  • Figure 29: Global: Deep Learning (Automotive) Market: Sales Value (in Million US$), 2015 & 2020
  • Figure 30: Global: Deep Learning (Automotive) Market Forecast: Sales Value (in Million US$), 2021-2026
  • Figure 31: Global: Deep Learning (Healthcare) Market: Sales Value (in Million US$), 2015 & 2020
  • Figure 32: Global: Deep Learning (Healthcare) Market Forecast: Sales Value (in Million US$), 2021-2026
  • Figure 33: Global: Deep Learning (Agriculture) Market: Sales Value (in Million US$), 2015 & 2020
  • Figure 34: Global: Deep Learning (Agriculture) Market Forecast: Sales Value (in Million US$), 2021-2026
  • Figure 35: Global: Deep Learning (Other Industries) Market: Sales Value (in Million US$), 2015 & 2020
  • Figure 36: Global: Deep Learning (Other Industries) Market Forecast: Sales Value (in Million US$), 2021-2026
  • Figure 37: Global: Deep Learning (RNN) Market: Sales Value (in Million US$), 2015 & 2020
  • Figure 38: Global: Deep Learning (RNN) Market Forecast: Sales Value (in Million US$), 2021-2026
  • Figure 39: Global: Deep Learning (CNN) Market: Sales Value (in Million US$), 2015 & 2020
  • Figure 40: Global: Deep Learning (CNN) Market Forecast: Sales Value (in Million US$), 2021-2026
  • Figure 41: Global: Deep Learning (DBN) Market: Sales Value (in Million US$), 2015 & 2020
  • Figure 42: Global: Deep Learning (DBN) Market Forecast: Sales Value (in Million US$), 2021-2026
  • Figure 43: Global: Deep Learning (DSN) Market: Sales Value (in Million US$), 2015 & 2020
  • Figure 44: Global: Deep Learning (DSN) Market Forecast: Sales Value (in Million US$), 2021-2026
  • Figure 45: Global: Deep Learning (GRU) Market: Sales Value (in Million US$), 2015 & 2020
  • Figure 46: Global: Deep Learning (GRU) Market Forecast: Sales Value (in Million US$), 2021-2026
  • Figure 47: North America: Deep Learning Market: Sales Value (in Million US$), 2015 & 2020
  • Figure 48: North America: Deep Learning Market Forecast: Sales Value (in Million US$), 2021-2026
  • Figure 49: United States: Deep Learning Market: Sales Value (in Million US$), 2015 & 2020
  • Figure 50: United States: Deep Learning Market Forecast: Sales Value (in Million US$), 2021-2026
  • Figure 51: Canada: Deep Learning Market: Sales Value (in Million US$), 2015 & 2020
  • Figure 52: Canada: Deep Learning Market Forecast: Sales Value (in Million US$), 2021-2026
  • Figure 53: Asia Pacific: Deep Learning Market: Sales Value (in Million US$), 2015 & 2020
  • Figure 54: Asia Pacific: Deep Learning Market Forecast: Sales Value (in Million US$), 2021-2026
  • Figure 55: China: Deep Learning Market: Sales Value (in Million US$), 2015 & 2020
  • Figure 56: China: Deep Learning Market Forecast: Sales Value (in Million US$), 2021-2026
  • Figure 57: Japan: Deep Learning Market: Sales Value (in Million US$), 2015 & 2020
  • Figure 58: Japan: Deep Learning Market Forecast: Sales Value (in Million US$), 2021-2026
  • Figure 59: India: Deep Learning Market: Sales Value (in Million US$), 2015 & 2020
  • Figure 60: India: Deep Learning Market Forecast: Sales Value (in Million US$), 2021-2026
  • Figure 61: South Korea: Deep Learning Market: Sales Value (in Million US$), 2015 & 2020
  • Figure 62: South Korea: Deep Learning Market Forecast: Sales Value (in Million US$), 2021-2026
  • Figure 63: Australia: Deep Learning Market: Sales Value (in Million US$), 2015 & 2020
  • Figure 64: Australia: Deep Learning Market Forecast: Sales Value (in Million US$), 2021-2026
  • Figure 65: Indonesia: Deep Learning Market: Sales Value (in Million US$), 2015 & 2020
  • Figure 66: Indonesia: Deep Learning Market Forecast: Sales Value (in Million US$), 2021-2026
  • Figure 67: Others: Deep Learning Market: Sales Value (in Million US$), 2015 & 2020
  • Figure 68: Others: Deep Learning Market Forecast: Sales Value (in Million US$), 2021-2026
  • Figure 69: Europe: Deep Learning Market: Sales Value (in Million US$), 2015 & 2020
  • Figure 70: Europe: Deep Learning Market Forecast: Sales Value (in Million US$), 2021-2026
  • Figure 71: Germany: Deep Learning Market: Sales Value (in Million US$), 2015 & 2020
  • Figure 72: Germany: Deep Learning Market Forecast: Sales Value (in Million US$), 2021-2026
  • Figure 73: France: Deep Learning Market: Sales Value (in Million US$), 2015 & 2020
  • Figure 74: France: Deep Learning Market Forecast: Sales Value (in Million US$), 2021-2026
  • Figure 75: United Kingdom: Deep Learning Market: Sales Value (in Million US$), 2015 & 2020
  • Figure 76: United Kingdom: Deep Learning Market Forecast: Sales Value (in Million US$), 2021-2026
  • Figure 77: Italy: Deep Learning Market: Sales Value (in Million US$), 2015 & 2020
  • Figure 78: Italy: Deep Learning Market Forecast: Sales Value (in Million US$), 2021-2026
  • Figure 79: Spain: Deep Learning Market: Sales Value (in Million US$), 2015 & 2020
  • Figure 80: Spain: Deep Learning Market Forecast: Sales Value (in Million US$), 2021-2026
  • Figure 81: Russia: Deep Learning Market: Sales Value (in Million US$), 2015 & 2020
  • Figure 82: Russia: Deep Learning Market Forecast: Sales Value (in Million US$), 2021-2026
  • Figure 83: Others: Deep Learning Market: Sales Value (in Million US$), 2015 & 2020
  • Figure 84: Others: Deep Learning Market Forecast: Sales Value (in Million US$), 2021-2026
  • Figure 85: Latin America: Deep Learning Market: Sales Value (in Million US$), 2015 & 2020
  • Figure 86: Latin America: Deep Learning Market Forecast: Sales Value (in Million US$), 2021-2026
  • Figure 87: Brazil: Deep Learning Market: Sales Value (in Million US$), 2015 & 2020
  • Figure 88: Brazil: Deep Learning Market Forecast: Sales Value (in Million US$), 2021-2026
  • Figure 89: Mexico: Deep Learning Market: Sales Value (in Million US$), 2015 & 2020
  • Figure 90: Mexico: Deep Learning Market Forecast: Sales Value (in Million US$), 2021-2026
  • Figure 91: Others: Deep Learning Market: Sales Value (in Million US$), 2015 & 2020
  • Figure 92: Others: Deep Learning Market Forecast: Sales Value (in Million US$), 2021-2026
  • Figure 93: Middle East and Africa: Deep Learning Market: Sales Value (in Million US$), 2015 & 2020
  • Figure 94: Middle East and Africa: Deep Learning Market Forecast: Sales Value (in Million US$), 2021-2026
  • 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, 2020 and 2026
  • Table 2: Global: Deep Learning Market Forecast: Breakup by Product Type (in Million US$), 2021-2026
  • Table 3: Global: Deep Learning Market Forecast: Breakup by Application (in Million US$), 2021-2026
  • Table 4: Global: Deep Learning Market Forecast: Breakup by End-Use Industry (in Million US$), 2021-2026
  • Table 5: Global: Deep Learning Market Forecast: Breakup by Architecture (in Million US$), 2021-2026
  • Table 6: Global: Deep Learning Market Forecast: Breakup by Region (in Million US$), 2021-2026
  • Table 7: Global: Deep Learning Market: Competitive Structure
  • Table 8: Global: Deep Learning Market: Key Players