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1236876

深度學習市場：全球行業趨勢、份額、規模、增長機會、2023-2028 年預測

Deep Learning Market: Global Industry Trends, Share, Size, Growth, Opportunity and Forecast 2023-2028
出版日期: | 出版商: IMARC | 英文 146 Pages | 商品交期: 2-3個工作天內

價格

2022 年全球深度學習市場規模將達到 172 億美元。 展望未來，IMARC Group 預測到 2028 年將達到 1130 億美元，顯示 2023 年至 2028 年之間的增長率 (CAGR) 為 38.2%。

深度學習或深度結構化學習是機器學習的一個分支，它使用分層算法模型來分析數據。 它是數據科學的一個關鍵組成部分，它使用統計和預測模型來收集、分析和解釋大量信息。 它還包括使用人工智能 (AI) 來模仿人腦在處理數據、形成模式和做出決策方面的功能。 該技術常用於圖像識別工具、自然語言處理（NLP）和語音識別軟件、自動駕駛汽車、語言翻譯服務等，廣泛應用於零售、醫療保健、汽車、農業、安防和製造等領域行業. 它被廣泛應用於各個領域, 如

信息技術 (IT) 行業的擴張和數字化趨勢是推動市場增長的主要因素之一。 與傳統使用的計算系統相比，深度學習算法可以自動截取可用數據點，提高決策過程的效率和準確性。 此外，深度學習解決方案廣泛應用於網絡安全、數據庫管理、欺詐檢測系統等領域。 它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，為該技術的廣泛採用做出了貢獻。 其他因素包括大數據分析、與雲計算的集成，以及為深度學習開發改進的硬件和軟件處理解決方案的廣泛研發活動，深度學習將在未來幾年繼續主導市場。預計將推動

主要市場細分

  • IMARC Group 分析了全球深度學習市場報告每個子部分的主要趨勢，並預測了 2023 年至 2028 年在全球、區域和國家層面的情況。 該報告根據產品類型、應用、最終用途行業和架構對市場進行分類。

本報告中回答的關鍵問題

  • 1.2022年全球深度學習市場規模有多大？
  • 2. 2023-2028年全球深度學習市場的預期增長率是多少？
  • 3.COVID-19 對全球深度學習市場有何影響？
  • 4. 推動全球深度學習市場發展的主要因素是什麼？
  • 5. 全球深度學習市場是如何按產品類型劃分的？
  • 6. 全球深度學習市場基於應用的細分是什麼？
  • 7. 按最終用途行業劃分的全球深度學習市場情況如何？
  • 8. 全球深度學習市場主要有哪些區域？
  • 9. 全球深度學習市場的主要參與者/公司有哪些？

內容

第一章前言

第 2 章範圍和方法論

  • 調查目的
  • 利益相關者
  • 數據源
    • 主要信息
    • 次要信息
  • 市場評估
    • 自下而上的方法
    • 自上而下的方法
  • 調查方法

第 3 章執行摘要

第四章介紹

  • 概覽
  • 主要行業趨勢

第五章全球深度學習市場

  • 市場概覽
  • 市場結果
  • COVID-19 的影響
  • 市場預測

第 6 章按產品類型劃分的市場細分

  • 軟件
    • 市場趨勢
    • 市場預測
  • 服務內容
    • 市場趨勢
    • 市場預測
  • 硬件
    • 市場趨勢
    • 市場預測

第 7 章應用市場細分

  • 圖像識別
    • 市場趨勢
    • 市場預測
  • 信號識別
    • 市場趨勢
    • 市場預測
  • 數據挖掘
    • 市場趨勢
    • 市場預測
  • 其他
    • 市場趨勢
    • 市場預測

第 8 章最終用戶行業的市場細分

  • 安全
    • 市場趨勢
    • 市場預測
  • 製造業
    • 市場趨勢
    • 市場預測
  • 零售
    • 市場趨勢
    • 市場預測
  • 汽車
    • 市場趨勢
    • 市場預測
  • 醫療保健
    • 市場趨勢
    • 市場預測
  • 農業
    • 市場趨勢
    • 市場預測
  • 其他
    • 市場趨勢
    • 市場預測

第 9 章按體系結構劃分的市場細分

  • 循環神經網絡
    • 市場趨勢
    • 市場預測
  • CNN
    • 市場趨勢
    • 市場預測
  • 數據庫編號
    • 市場趨勢
    • 市場預測
  • DSN
    • 市場趨勢
    • 市場預測
  • 格魯烏
    • 市場趨勢
    • 市場預測

第 10 章區域市場細分

  • 北美
    • 美國
      • 市場趨勢
      • 市場預測
    • 加拿大
      • 市場趨勢
      • 市場預測
  • 亞太地區
    • 中國
      • 市場趨勢
      • 市場預測
    • 日本
      • 市場趨勢
      • 市場預測
    • 印度
      • 市場趨勢
      • 市場預測
    • 韓國
      • 市場趨勢
      • 市場預測
    • 澳大利亞
      • 市場趨勢
      • 市場預測
    • 印度尼西亞
      • 市場趨勢
      • 市場預測
    • 其他
      • 市場趨勢
      • 市場預測
  • 歐洲
    • 德國
      • 市場趨勢
      • 市場預測
    • 法國
      • 市場趨勢
      • 市場預測
    • 英國
      • 市場趨勢
      • 市場預測
    • 意大利
      • 市場趨勢
      • 市場預測
    • 西班牙
      • 市場趨勢
      • 市場預測
    • 俄羅斯
      • 市場趨勢
      • 市場預測
    • 其他
      • 市場趨勢
      • 市場預測
  • 拉丁美洲
    • 巴西
      • 市場趨勢
      • 市場預測
    • 墨西哥
      • 市場趨勢
      • 市場預測
    • 其他
      • 市場趨勢
      • 市場預測
  • 中東和非洲
    • 市場趨勢
    • 按國家/地區劃分的市場細分
    • 市場預測

第 11 章 SWOT 分析

  • 概覽
  • 力量
  • 弱點
  • 機會
  • 威脅

第12章價值鏈分析

第13章搬運工五力分析

  • 概覽
  • 買家的議價能力
  • 供應商的議價能力
  • 競爭程度
  • 新進入者的威脅
  • 替代品的威脅

第14章競爭格局

  • 市場結構
  • 主要公司
  • 主要公司簡介
    • Amazon Web Services（AWS）
    • Google Inc.
    • IBM
    • Intel
    • Micron Technology
    • Microsoft Corporation
    • Nvidia
    • Qualcomm
    • Samsung Electronics
    • Sensory Inc.
    • Pathmind Inc.
    • Xilinx
Product Code: SR1523A141_Report

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?

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

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