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ディープラーニングの世界市場:業界動向・シェア・市場規模・成長・機会・予測(2020年~2025年)

Deep Learning Market: Global Industry Trends, Share, Size, Growth, Opportunity and Forecast 2020-2025

出版日: | 発行: IMARC Services Private Limited | ページ情報: 英文 104 Pages | 納期: 2-3営業日

価格
価格表記: USDを日本円(税抜)に換算
本日の銀行送金レート: 1USD=105.49円
ディープラーニングの世界市場:業界動向・シェア・市場規模・成長・機会・予測(2020年~2025年)
出版日: 2020年04月16日
発行: IMARC Services Private Limited
ページ情報: 英文 104 Pages
納期: 2-3営業日
  • 全表示
  • 概要
  • 図表
  • 目次
概要

世界のディープラーニング市場は現在、力強い成長を遂げています。ディープラーニングは、データを分析するために層状のアルゴリズムモデルを使用する機械学習の分野のひとつです。大量の情報を収集、分析、解釈するために統計や予測モデルを使用するデータサイエンスの重要な要素で、人工知能(AI)技術も応用されています。ディープラーニングは、画像認識ツール、自然言語処理(NLP)、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、ヘルスケア、自動車、農業、セキュリティ、製造などの幅広い分野で活用されています。世界のディープラーニング市場は、2020年から2025年にかけて約30%のCAGRで成長すると予測されています。

当レポートでは、世界のディープラーニング市場を調査し、市場の概要、製品タイプ・用途・エンドユーザー業界・アーキテクチャー・地域別の市場規模の推移と予測、市場の成長要因および課題の分析、競合情勢、主要企業のプロファイルなど、包括的な情報を提供しています。

目次

第1章 序文

第2章 範囲と調査手法

  • 調査目的
  • ステークホルダー
  • 情報源
    • 一次資料
    • 二次資料
  • 市場予測
    • ボトムアップアプローチ
    • トップダウンアプローチ
  • 予測調査手法

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

  • 概要
  • 業界の主要動向

第5章 世界のディープラーニング市場

  • 市場概要
  • 市場パフォーマンス

第6章 世界のディープラーニング市場:製品タイプ別

  • ソフトウェア
  • サービス
  • ハードウェア

第7章 世界のディープラーニング市場:用途別

  • 画像認識
  • 信号認識
  • データマイニング
  • その他

第8章 世界のディープラーニング市場:エンドユーザー業界別

  • セキュリティ
  • 製造
  • 小売
  • 自動車
  • ヘルスケア
  • 農業
  • その他

第9章 世界のディープラーニング市場:アーキテクチャー別

  • RNN
  • CNN
  • DBN
  • DSN
  • GRU

第10章 世界のディープラーニング市場:地域別

  • 北米
    • 米国
    • カナダ
  • アジア太平洋地域
    • 中国
    • 日本
    • インド
    • 韓国
    • オーストラリア
    • インドネシア
    • その他
  • 欧州
    • ドイツ
    • フランス
    • 英国
    • イタリア
    • スペイン
    • ロシア
    • その他
  • ラテンアメリカ
    • ブラジル
    • メキシコ
    • その他
  • 中東・アフリカ

第11章 SWOT分析

  • 概要
  • 強み
  • 弱み
  • 機会
  • 脅威

第12章 バリューチェーン分析

第13章 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
  • 新規参入業者の脅威
  • 代替品の脅威
  • 競争企業間の敵対関係

第14章 競合情勢

  • 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$), 2014-2019
  • Figure 3: Global: Deep Learning Market: Breakup by Product Type (in %), 2019
  • Figure 4: Global: Deep Learning Market: Breakup by Application (in %), 2019
  • Figure 5: Global: Deep Learning Market: Breakup by End-Use Industry (in %), 2019
  • Figure 6: Global: Deep Learning Market: Breakup by Architecture (in %), 2019
  • Figure 7: Global: Deep Learning Market: Breakup by Region (in %), 2019
  • Figure 8: Global: Deep Learning Market Forecast: Sales Value (in Billion US$), 2020-2025
  • Figure 9: Global: Deep Learning (Software) Market: Sales Value (in Million US$), 2014 & 2019
  • Figure 10: Global: Deep Learning (Software) Market Forecast: Sales Value (in Million US$), 2020-2025
  • Figure 11: Global: Deep Learning (Services) Market: Sales Value (in Million US$), 2014 & 2019
  • Figure 12: Global: Deep Learning (Services) Market Forecast: Sales Value (in Million US$), 2020-2025
  • Figure 13: Global: Deep Learning (Hardware) Market: Sales Value (in Million US$), 2014 & 2019
  • Figure 14: Global: Deep Learning (Hardware) Market Forecast: Sales Value (in Million US$), 2020-2025
  • Figure 15: Global: Deep Learning (Image Recognition) Market: Sales Value (in Million US$), 2014 & 2019
  • Figure 16: Global: Deep Learning (Image Recognition) Market Forecast: Sales Value (in Million US$), 2020-2025
  • Figure 17: Global: Deep Learning (Signal Recognition) Market: Sales Value (in Million US$), 2014 & 2019
  • Figure 18: Global: Deep Learning (Signal Recognition) Market Forecast: Sales Value (in Million US$), 2020-2025
  • Figure 19: Global: Deep Learning (Data Mining) Market: Sales Value (in Million US$), 2014 & 2019
  • Figure 20: Global: Deep Learning (Data Mining) Market Forecast: Sales Value (in Million US$), 2020-2025
  • Figure 21: Global: Deep Learning (Other Applications) Market: Sales Value (in Million US$), 2014 & 2019
  • Figure 22: Global: Deep Learning (Other Applications) Market Forecast: Sales Value (in Million US$), 2020-2025
  • Figure 23: Global: Deep Learning (Security) Market: Sales Value (in Million US$), 2014 & 2019
  • Figure 24: Global: Deep Learning (Security) Market Forecast: Sales Value (in Million US$), 2020-2025
  • Figure 25: Global: Deep Learning (Manufacturing) Market: Sales Value (in Million US$), 2014 & 2019
  • Figure 26: Global: Deep Learning (Manufacturing) Market Forecast: Sales Value (in Million US$), 2020-2025
  • Figure 27: Global: Deep Learning (Retail) Market: Sales Value (in Million US$), 2014 & 2019
  • Figure 28: Global: Deep Learning (Retail) Market Forecast: Sales Value (in Million US$), 2020-2025
  • Figure 29: Global: Deep Learning (Automotive) Market: Sales Value (in Million US$), 2014 & 2019
  • Figure 30: Global: Deep Learning (Automotive) Market Forecast: Sales Value (in Million US$), 2020-2025
  • Figure 31: Global: Deep Learning (Healthcare) Market: Sales Value (in Million US$), 2014 & 2019
  • Figure 32: Global: Deep Learning (Healthcare) Market Forecast: Sales Value (in Million US$), 2020-2025
  • Figure 33: Global: Deep Learning (Agriculture) Market: Sales Value (in Million US$), 2014 & 2019
  • Figure 34: Global: Deep Learning (Agriculture) Market Forecast: Sales Value (in Million US$), 2020-2025
  • Figure 35: Global: Deep Learning (Other Industries) Market: Sales Value (in Million US$), 2014 & 2019
  • Figure 36: Global: Deep Learning (Other Industries) Market Forecast: Sales Value (in Million US$), 2020-2025
  • Figure 37: Global: Deep Learning (RNN) Market: Sales Value (in Million US$), 2014 & 2019
  • Figure 38: Global: Deep Learning (RNN) Market Forecast: Sales Value (in Million US$), 2020-2025
  • Figure 39: Global: Deep Learning (CNN) Market: Sales Value (in Million US$), 2014 & 2019
  • Figure 40: Global: Deep Learning (CNN) Market Forecast: Sales Value (in Million US$), 2020-2025
  • Figure 41: Global: Deep Learning (DBN) Market: Sales Value (in Million US$), 2014 & 2019
  • Figure 42: Global: Deep Learning (DBN) Market Forecast: Sales Value (in Million US$), 2020-2025
  • Figure 43: Global: Deep Learning (DSN) Market: Sales Value (in Million US$), 2014 & 2019
  • Figure 44: Global: Deep Learning (DSN) Market Forecast: Sales Value (in Million US$), 2020-2025
  • Figure 45: Global: Deep Learning (GRU) Market: Sales Value (in Million US$), 2014 & 2019
  • Figure 46: Global: Deep Learning (GRU) Market Forecast: Sales Value (in Million US$), 2020-2025
  • Figure 47: North America: Deep Learning Market: Sales Value (in Million US$), 2014 & 2019
  • Figure 48: North America: Deep Learning Market Forecast: Sales Value (in Million US$), 2020-2025
  • Figure 49: United States: Deep Learning Market: Sales Value (in Million US$), 2014 & 2019
  • Figure 50: United States: Deep Learning Market Forecast: Sales Value (in Million US$), 2020-2025
  • Figure 51: Canada: Deep Learning Market: Sales Value (in Million US$), 2014 & 2019
  • Figure 52: Canada: Deep Learning Market Forecast: Sales Value (in Million US$), 2020-2025
  • Figure 53: Asia Pacific: Deep Learning Market: Sales Value (in Million US$), 2014 & 2019
  • Figure 54: Asia Pacific: Deep Learning Market Forecast: Sales Value (in Million US$), 2020-2025
  • Figure 55: China: Deep Learning Market: Sales Value (in Million US$), 2014 & 2019
  • Figure 56: China: Deep Learning Market Forecast: Sales Value (in Million US$), 2020-2025
  • Figure 57: Japan: Deep Learning Market: Sales Value (in Million US$), 2014 & 2019
  • Figure 58: Japan: Deep Learning Market Forecast: Sales Value (in Million US$), 2020-2025
  • Figure 59: India: Deep Learning Market: Sales Value (in Million US$), 2014 & 2019
  • Figure 60: India: Deep Learning Market Forecast: Sales Value (in Million US$), 2020-2025
  • Figure 61: South Korea: Deep Learning Market: Sales Value (in Million US$), 2014 & 2019
  • Figure 62: South Korea: Deep Learning Market Forecast: Sales Value (in Million US$), 2020-2025
  • Figure 63: Australia: Deep Learning Market: Sales Value (in Million US$), 2014 & 2019
  • Figure 64: Australia: Deep Learning Market Forecast: Sales Value (in Million US$), 2020-2025
  • Figure 65: Indonesia: Deep Learning Market: Sales Value (in Million US$), 2014 & 2019
  • Figure 66: Indonesia: Deep Learning Market Forecast: Sales Value (in Million US$), 2020-2025
  • Figure 67: Others: Deep Learning Market: Sales Value (in Million US$), 2014 & 2019
  • Figure 68: Others: Deep Learning Market Forecast: Sales Value (in Million US$), 2020-2025
  • Figure 69: Europe: Deep Learning Market: Sales Value (in Million US$), 2014 & 2019
  • Figure 70: Europe: Deep Learning Market Forecast: Sales Value (in Million US$), 2020-2025
  • Figure 71: Germany: Deep Learning Market: Sales Value (in Million US$), 2014 & 2019
  • Figure 72: Germany: Deep Learning Market Forecast: Sales Value (in Million US$), 2020-2025
  • Figure 73: France: Deep Learning Market: Sales Value (in Million US$), 2014 & 2019
  • Figure 74: France: Deep Learning Market Forecast: Sales Value (in Million US$), 2020-2025
  • Figure 75: United Kingdom: Deep Learning Market: Sales Value (in Million US$), 2014 & 2019
  • Figure 76: United Kingdom: Deep Learning Market Forecast: Sales Value (in Million US$), 2020-2025
  • Figure 77: Italy: Deep Learning Market: Sales Value (in Million US$), 2014 & 2019
  • Figure 78: Italy: Deep Learning Market Forecast: Sales Value (in Million US$), 2020-2025
  • Figure 79: Spain: Deep Learning Market: Sales Value (in Million US$), 2014 & 2019
  • Figure 80: Spain: Deep Learning Market Forecast: Sales Value (in Million US$), 2020-2025
  • Figure 81: Russia: Deep Learning Market: Sales Value (in Million US$), 2014 & 2019
  • Figure 82: Russia: Deep Learning Market Forecast: Sales Value (in Million US$), 2020-2025
  • Figure 83: Others: Deep Learning Market: Sales Value (in Million US$), 2014 & 2019
  • Figure 84: Others: Deep Learning Market Forecast: Sales Value (in Million US$), 2020-2025
  • Figure 85: Latin America: Deep Learning Market: Sales Value (in Million US$), 2014 & 2019
  • Figure 86: Latin America: Deep Learning Market Forecast: Sales Value (in Million US$), 2020-2025
  • Figure 87: Brazil: Deep Learning Market: Sales Value (in Million US$), 2014 & 2019
  • Figure 88: Brazil: Deep Learning Market Forecast: Sales Value (in Million US$), 2020-2025
  • Figure 89: Mexico: Deep Learning Market: Sales Value (in Million US$), 2014 & 2019
  • Figure 90: Mexico: Deep Learning Market Forecast: Sales Value (in Million US$), 2020-2025
  • Figure 91: Others: Deep Learning Market: Sales Value (in Million US$), 2014 & 2019
  • Figure 92: Others: Deep Learning Market Forecast: Sales Value (in Million US$), 2020-2025
  • Figure 93: Middle East and Africa: Deep Learning Market: Sales Value (in Million US$), 2014 & 2019
  • Figure 94: Middle East and Africa: Deep Learning Market Forecast: Sales Value (in Million US$), 2020-2025
  • 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, 2019 and 2025
  • Table 2: Global: Deep Learning Market Forecast: Breakup by Product Type (in Million US$), 2020-2025
  • Table 3: Global: Deep Learning Market Forecast: Breakup by Application (in Million US$), 2020-2025
  • Table 4: Global: Deep Learning Market Forecast: Breakup by End-Use Industry (in Million US$), 2020-2025
  • Table 5: Global: Deep Learning Market Forecast: Breakup by Architecture (in Million US$), 2020-2025
  • Table 6: Global: Deep Learning Market Forecast: Breakup by Region (in Million US$), 2020-2025
  • Table 7: Global: Deep Learning Market: Competitive Structure
  • Table 8: Global: Deep Learning Market: Key Players
目次
Product Code: SR1019I24_Report

The global deep learning market is currently witnessing strong growth. 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 market to register a CAGR of around 30% during 2020-2025.

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 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 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
      • 14.3.4.3 SWOT Analysis
    • 14.3.5 Micron Technology
      • 14.3.5.1 Company Overview
      • 14.3.5.2 Product Portfolio
      • 14.3.5.3 Financials
      • 14.3.5.3 SWOT Analysis
    • 14.3.6 Microsoft Corporation
      • 14.3.6.1 Company Overview
      • 14.3.6.2 Product Portfolio
      • 14.3.6.3 Financials
      • 14.3.6.3 SWOT Analysis
    • 14.3.7 Nvidia
      • 14.3.7.1 Company Overview
      • 14.3.7.2 Product Portfolio
      • 14.3.7.3 Financials
      • 14.3.7.3 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
      • 14.3.12.3 SWOT Analysis
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