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ディープラーニング市場：世界の産業動向、シェア、規模、成長、機会、2023-2028年予測

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

出版日: 2023年02月21日 | 発行: IMARC

| ページ情報: 英文 146 Pages | 納期: 2～3営業日

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全表示
概要
図表
目次

概要

サンプル依頼リストに入れる

世界のディープラーニング市場規模は、2022年に172億米ドルに達しました。今後、IMARC Groupは、2023年から2028年の間に38.2%の成長率（CAGR）を示し、2028年までに1130億米ドルに達すると予測しています。

ディープラーニング（深層構造学習）は、機械学習の一部門で、データを分析するために階層化されたアルゴリズムモデルを使用します。大量の情報を収集、分析、解釈するために統計学と予測モデリングを使用するデータサイエンスの重要な構成要素です。また、データを処理し、パターンを形成し、意思決定を行う際に、人間の脳の機能を模倣する人工知能（AI）の使用も含まれます。この技術は、画像認識ツール、自然言語処理（NLP）および音声認識ソフトウェア、自動運転車、言語翻訳サービスなどで一般的に使用されており、小売業、ヘルスケア、自動車、農業、セキュリティ、製造業など幅広い分野で応用されています。

情報技術（IT）産業の拡大とデジタル化の動向は、市場の成長を促進する主要な要因の一つです。従来から使用されているコンピューティングシステムと比較して、深層学習アルゴリズムは利用可能なデータポイントを自動的に傍受することができ、意思決定プロセスの効率と精度を向上させます。さらに、ディープラーニングソリューションは、サイバーセキュリティ、データベース管理、詐欺検出システムなどに広く採用されています。また、病気の診断や創薬のための医療画像の処理、ヘルスケア分野でのバーチャル患者支援の提供などにも活用されており、この技術が広く採用される要因となっています。その他の要因としては、ビッグデータ解析やクラウドコンピューティングとの統合、ディープラーニングのための改良型ハードウェアおよびソフトウェア処理ソリューションを開発するための大規模な研究開発活動などがあり、今後数年間は市場を牽引すると予測されます。

主要な市場セグメンテーション

IMARC Groupは、世界の深層学習市場レポートの各サブセグメントにおける主要動向の分析と、2023年から2028年までの世界、地域、国レベルでの予測を提供します。当レポートでは、製品タイプ、用途、最終用途産業、アーキテクチャに基づき、市場を分類しています。

本レポートで回答した主な質問

1.2022年の世界のディープラーニングの市場規模は？
2.2023年～2028年の世界のディープラーニング市場の予想成長率は？
3.COVID-19が世界のディープラーニング市場に与えた影響とは？
4.世界のディープラーニング市場を牽引する主要因は何か？
5.世界のディープラーニング市場の製品タイプ別区分は？
6.ディープラーニングの世界市場のアプリケーションに基づく区分は？
7.ディープラーニングの世界市場のエンドユーズ産業別の区分は？
8.ディープラーニングの世界市場における主要地域はどこか？
9.世界のディープラーニング市場の主要プレイヤー/企業は？

セキュリティ
- 市場の動向
- 市場予測
製造業
- 市場の動向
- 市場予測
小売
- 市場の動向
- 市場予測
自動車
- 市場の動向
- 市場予測
ヘルスケア
- 市場の動向
- 市場予測
農業
- 市場の動向
- 市場予測
その他
- 市場の動向
- 市場予測

第9章アーキテクチャ別市場内訳

RNN
- 市場の動向
- 市場予測
CNN
- 市場の動向
- 市場予測
DBN
- 市場の動向
- 市場予測
DSN
- 市場の動向
- 市場予測
GRU
- 市場の動向
- 市場予測

第10章地域別市場内訳

北米
- 米国
  - 市場の動向
  - 市場予測
- カナダ
  - 市場の動向
  - 市場予測
アジア太平洋地域
- 中国
  - 市場の動向
  - 市場予測
- 日本
  - 市場の動向
  - 市場予測
- インド
  - 市場の動向
  - 市場予測
- 韓国
  - 市場の動向
  - 市場予測
- オーストラリア
  - 市場の動向
  - 市場予測
- インドネシア
  - 市場の動向
  - 市場予測
- その他
  - 市場の動向
  - 市場予測
欧州
- ドイツ
  - 市場の動向
  - 市場予測
- フランス
  - 市場の動向
  - 市場予測
- 英国
  - 市場の動向
  - 市場予測
- イタリア
  - 市場の動向
  - 市場予測
- スペイン
  - 市場の動向
  - 市場予測
- ロシア
  - 市場の動向
  - 市場予測
- その他
  - 市場の動向
  - 市場予測
ラテンアメリカ
- ブラジル
  - 市場の動向
  - 市場予測
- メキシコ
  - 市場の動向
  - 市場予測
- その他
  - 市場の動向
  - 市場予測
中東・アフリカ地域
- 市場の動向
- 国別の市場内訳
- 市場予測

第11章 SWOT分析

概要
ストレングス
弱点
機会
脅威

第12章バリューチェーン分析

第13章ポーターズファイブフォース分析

概要
買い手の交渉力
供給企業の交渉力
競合の度合い
新規参入業者の脅威
代替品の脅威

第14章競合情勢について

市場構造
主要企業
主要企業のプロファイル
- Amazon Web Services（AWS）
- Google Inc.
- IBM
- Intel
- Micron Technology
- Microsoft Corporation
- Nvidia
- Qualcomm
- Samsung Electronics
- Sensory Inc.
- Pathmind Inc.
- Xilinx

図表

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

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:

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?

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

ディープラーニング市場：世界の産業動向、シェア、規模、成長、機会、2023-2028年予測

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

主要な市場セグメンテーション

本レポートで回答した主な質問

目次

第1章 序文

第2章 スコープと調査手法

第3章 エグゼクティブサマリー

第4章 イントロダクション

第5章 ディープラーニングの世界市場

第6章 製品タイプ別市場内訳

第7章 アプリケーション別市場内訳

第8章 エンドユーザー産業別市場内訳

第9章 アーキテクチャ別市場内訳

第10章 地域別市場内訳