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市场调查报告书
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1236876

深度学习市场：全球行业趋势、份额、规模、增长机会、2023-2028 年预测

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个工作天内

价格

2022 年全球深度学习市场规模将达到 172 亿美元。 展望未来，IMARC Group 预测到 2028 年将达到 1130 亿美元，显示 2023 年至 2028 年之间的增长率 (CAGR) 为 38.2%。

深度学习或深度结构化学习是机器学习的一个分支，它使用分层算法模型来分析数据。 它是数据科学的一个关键组成部分，它使用统计和预测模型来收集、分析和解释大量信息。 它还包括使用人工智能 (AI) 来模仿人脑在处理数据、形成模式和做出决策方面的功能。 该技术常用于图像识别工具、自然语言处理（NLP）和语音识别软件、自动驾驶汽车、语言翻译服务等，广泛应用于零售、医疗保健、汽车、农业、安防和製造等领域行业. 它被广泛应用于各个领域, 如

信息技术 (IT) 行业的扩张和数字化趋势是推动市场增长的主要因素之一。 与传统使用的计算系统相比，深度学习算法可以自动截取可用数据点，提高决策过程的效率和准确性。 此外，深度学习解决方案广泛应用于网络安全、数据库管理、欺诈检测系统等领域。 它还用于处理用于疾病诊断和药物发现的医学图像，并在医疗保健领域提供虚拟患者帮助，为该技术的广泛采用做出了贡献。 其他因素包括大数据分析、与云计算的集成，以及为深度学习开发改进的硬件和软件处理解决方案的广泛研发活动，深度学习将在未来几年继续主导市场。预计将推动

主要市场细分

  • IMARC Group 分析了全球深度学习市场报告每个子部分的主要趋势，并预测了 2023 年至 2028 年在全球、区域和国家层面的情况。 该报告根据产品类型、应用、最终用途行业和架构对市场进行分类。

本报告中回答的关键问题

  • 1.2022年全球深度学习市场规模有多大？
  • 2. 2023-2028年全球深度学习市场的预期增长率是多少？
  • 3.COVID-19 对全球深度学习市场有何影响？
  • 4. 推动全球深度学习市场发展的主要因素是什么？
  • 5. 全球深度学习市场是如何按产品类型划分的？
  • 6. 全球深度学习市场基于应用的细分是什么？
  • 7. 按最终用途行业划分的全球深度学习市场情况如何？
  • 8. 全球深度学习市场主要有哪些区域？
  • 9. 全球深度学习市场的主要参与者/公司有哪些？

内容

第一章前言

第 2 章范围和方法论

  • 调查目的
  • 利益相关者
  • 数据源
    • 主要信息
    • 次要信息
  • 市场评估
    • 自下而上的方法
    • 自上而下的方法
  • 调查方法

第 3 章执行摘要

第四章介绍

  • 概览
  • 主要行业趋势

第五章全球深度学习市场

  • 市场概览
  • 市场结果
  • COVID-19 的影响
  • 市场预测

第 6 章按产品类型划分的市场细分

  • 软件
    • 市场趋势
    • 市场预测
  • 服务内容
    • 市场趋势
    • 市场预测
  • 硬件
    • 市场趋势
    • 市场预测

第 7 章应用市场细分

  • 图像识别
    • 市场趋势
    • 市场预测
  • 信号识别
    • 市场趋势
    • 市场预测
  • 数据挖掘
    • 市场趋势
    • 市场预测
  • 其他
    • 市场趋势
    • 市场预测

第 8 章最终用户行业的市场细分

  • 安全
    • 市场趋势
    • 市场预测
  • 製造业
    • 市场趋势
    • 市场预测
  • 零售
    • 市场趋势
    • 市场预测
  • 汽车
    • 市场趋势
    • 市场预测
  • 医疗保健
    • 市场趋势
    • 市场预测
  • 农业
    • 市场趋势
    • 市场预测
  • 其他
    • 市场趋势
    • 市场预测

第 9 章按体系结构划分的市场细分

  • 循环神经网络
    • 市场趋势
    • 市场预测
  • CNN
    • 市场趋势
    • 市场预测
  • 数据库编号
    • 市场趋势
    • 市场预测
  • DSN
    • 市场趋势
    • 市场预测
  • 格鲁乌
    • 市场趋势
    • 市场预测

第 10 章区域市场细分

  • 北美
    • 美国
      • 市场趋势
      • 市场预测
    • 加拿大
      • 市场趋势
      • 市场预测
  • 亚太地区
    • 中国
      • 市场趋势
      • 市场预测
    • 日本
      • 市场趋势
      • 市场预测
    • 印度
      • 市场趋势
      • 市场预测
    • 韩国
      • 市场趋势
      • 市场预测
    • 澳大利亚
      • 市场趋势
      • 市场预测
    • 印度尼西亚
      • 市场趋势
      • 市场预测
    • 其他
      • 市场趋势
      • 市场预测
  • 欧洲
    • 德国
      • 市场趋势
      • 市场预测
    • 法国
      • 市场趋势
      • 市场预测
    • 英国
      • 市场趋势
      • 市场预测
    • 意大利
      • 市场趋势
      • 市场预测
    • 西班牙
      • 市场趋势
      • 市场预测
    • 俄罗斯
      • 市场趋势
      • 市场预测
    • 其他
      • 市场趋势
      • 市场预测
  • 拉丁美洲
    • 巴西
      • 市场趋势
      • 市场预测
    • 墨西哥
      • 市场趋势
      • 市场预测
    • 其他
      • 市场趋势
      • 市场预测
  • 中东和非洲
    • 市场趋势
    • 按国家/地区划分的市场细分
    • 市场预测

第 11 章 SWOT 分析

  • 概览
  • 力量
  • 弱点
  • 机会
  • 威胁

第12章价值链分析

第13章搬运工五力分析

  • 概览
  • 买家的议价能力
  • 供应商的议价能力
  • 竞争程度
  • 新进入者的威胁
  • 替代品的威胁

第14章竞争格局

  • 市场结构
  • 主要公司
  • 主要公司简介
    • 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