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市場調査レポート

ディープラーニングの世界市場:予測

Global Deep Learning Market Research Report Forecast to 2023

発行 Market Research Future 商品コード 894990
出版日 ページ情報 英文 177 Pages
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本日の銀行送金レート: 1USD=107.15円で換算しております。
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ディープラーニングの世界市場:予測 Global Deep Learning Market Research Report Forecast to 2023
出版日: 2019年07月31日 ページ情報: 英文 177 Pages
概要

当レポートでは、世界のディープラーニング市場について調査分析し、市場力学、市場動向、セグメント別の市場分析、競合情勢、主要企業などについて、体系的な情報を提供しています。

第1章 エグゼクティブサマリー

第2章 市場イントロダクション

第3章 調査手法

第4章 市場考察

第5章 市場力学

  • イントロダクション
  • 促進要因
  • 抑制要因
  • 機会
  • 課題
  • バリューチェーン分析
  • ファイブフォース分析
  • マシンラーニングの進化
  • ディープラーニングの進化
  • ディープラーニングのライフサイクル
  • ユースケース
  • ディープラーニングのアーキテクチャー/モデル

第5章 世界のディープラーニング市場:コンポーネント別

  • 概要
    • ハードウェア
    • ソフトウェア
    • サービス

第6章 世界のディープラーニング市場:アプリケーション別

  • イントロダクション
    • 画像認識
    • データマイニング
    • 信号認識
    • その他

第7章 世界のディープラーニング市場:エンドユーザー別

  • イントロダクション
    • セキュリティ
    • 製造
    • 小売
    • 自動車
    • メディア・エンターテインメント
    • BFSI
    • 医療
    • 農業
    • その他

第8章 世界のディープラーニング市場:地域別

  • イントロダクション
  • 北米
  • 欧州
  • アジア太平洋地域
  • その他

第9章 競合情勢

  • 市場シェア分析

第10章 企業プロファイル

  • Amazon Inc.
  • Intel Corporation
  • Samsung Electronics Co Ltd
  • Micron Technology
  • Sensory Inc
  • Xilinx Inc
  • Google LLC
  • Mellanox Technologies
  • Adapteva, Inc.
  • Qualcomm Technologies Inc
  • NVIDIA Corporation
  • Baidu Inc
  • IBM Corporation
  • Advanced Micro Devices Inc
  • Microsoft Corporation
  • Facebook
  • Tenstorrent
図表

List of Tables

  • TABLE 1 LIST OF ASSUMPTIONS
  • TABLE 2 GLOBAL DEEP LEARNING MARKET, BY COMPONENT, 2017-2023 (USD MILLION)
  • TABLE 3 GLOBAL DEEP LEARNING MARKET, BY HARDWARE, 2017-2023 (USD MILLION)
  • TABLE 4 GLOBAL DEEP LEARNING MARKET, BY SOFTWARE, 2017-2023 (USD MILLION)
  • TABLE 5 GLOBAL DEEP LEARNING MARKET, BY SERVICES, 2017-2023 (USD MILLION)
  • TABLE 6 GLOBAL DEEP LEARNING MARKET, BY APPLICATION, 2017-2023 (USD MILLION)
  • TABLE 7 GLOBAL DEEP LEARNING MARKET, BY END-USER, 2017-2023 (USD MILLION)
  • TABLE 8 GLOBAL DEEP LEARNING MARKET, BY REGION, 2017-2023 (USD MILLION)
  • TABLE 9 NORTH AMERICA: DEEP LEARNING MARKET, BY COUNTRY, 2017-2023 (USD MILLION)
  • TABLE 10 NORTH AMERICA: DEEP LEARNING MARKET, BY COMPONENT, 2017-2023 (USD MILLION)
  • TABLE 11 NORTH AMERICA: DEEP LEARNING MARKET, BY HARDWARE, 2017-2023 (USD MILLION)
  • TABLE 12 NORTH AMERICA: DEEP LEARNING MARKET, BY SOFTWARE, 2017-2023 (USD MILLION)
  • TABLE 13 NORTH AMERICA: DEEP LEARNING MARKET, BY SERVICES, 2017-2023 (USD MILLION)
  • TABLE 14 NORTH AMERICA: DEEP LEARNING MARKET, BY APPLICATION, 2017-2023 (USD MILLION)
  • TABLE 15 NORTH AMERICA: DEEP LEARNING MARKET, BY END-USER, 2017-2023 (USD MILLION)
  • TABLE 16 US: DEEP LEARNING MARKET, BY COMPONENT, 2017-2023 (USD MILLION)
  • TABLE 17 US: DEEP LEARNING MARKET, BY HARDWARE, 2017-2023 (USD MILLION)
  • TABLE 18 US: DEEP LEARNING MARKET, BY SOFTWARE, 2017-2023 (USD MILLION)
  • TABLE 19 US: DEEP LEARNING MARKET, BY SERVICES, 2017-2023 (USD MILLION)
  • TABLE 20 US: DEEP LEARNING MARKET, BY APPLICATION, 2017-2023 (USD MILLION)
  • TABLE 21 US: DEEP LEARNING MARKET, BY END-USER, 2017-2023 (USD MILLION)
  • TABLE 22 CANADA: DEEP LEARNING MARKET, BY COMPONENT, 2017-2023 (USD MILLION)
  • TABLE 23 CANADA: DEEP LEARNING MARKET, BY HARDWARE, 2017-2023 (USD MILLION)
  • TABLE 24 CANADA: DEEP LEARNING MARKET, BY SOFTWARE, 2017-2023 (USD MILLION)
  • TABLE 25 CANADA: DEEP LEARNING MARKET, BY SERVICES, 2017-2023 (USD MILLION)
  • TABLE 26 CANADA: DEEP LEARNING MARKET, BY APPLICATION, 2017-2023 (USD MILLION)
  • TABLE 27 CANADA: DEEP LEARNING MARKET, BY END-USER, 2017-2023 (USD MILLION)
  • TABLE 28 MEXICO: DEEP LEARNING MARKET, BY COMPONENT, 2017-2023 (USD MILLION)
  • TABLE 29 MEXICO: DEEP LEARNING MARKET, BY HARDWARE, 2017-2023 (USD MILLION)
  • TABLE 30 MEXICO: DEEP LEARNING MARKET, BY SOFTWARE, 2017-2023 (USD MILLION)
  • TABLE 31 MEXICO: DEEP LEARNING MARKET, BY SERVICES, 2017-2023 (USD MILLION)
  • TABLE 32 MEXICO: DEEP LEARNING MARKET, BY APPLICATION, 2017-2023 (USD MILLION)
  • TABLE 33 MEXICO: DEEP LEARNING MARKET, BY END-USER, 2017-2023 (USD MILLION)
  • TABLE 34 EUROPE: DEEP LEARNING MARKET, BY COUNTRY, 2017-2023 (USD MILLION)
  • TABLE 35 EUROPE: DEEP LEARNING MARKET, BY COMPONENT, 2017-2023 (USD MILLION)
  • TABLE 36 EUROPE: DEEP LEARNING MARKET, BY HARDWARE, 2017-2023 (USD MILLION)
  • TABLE 37 EUROPE: DEEP LEARNING MARKET, BY SOFTWARE, 2017-2023 (USD MILLION)
  • TABLE 38 EUROPE: DEEP LEARNING MARKET, BY SERVICES, 2017-2023 (USD MILLION)
  • TABLE 39 EUROPE: DEEP LEARNING MARKET, BY APPLICATION, 2017-2023 (USD MILLION)
  • TABLE 40 EUROPE: DEEP LEARNING MARKET, BY END-USER, 2017-2023 (USD MILLION)
  • TABLE 41 U.K: DEEP LEARNING MARKET, BY COMPONENT, 2017-2023 (USD MILLION)
  • TABLE 42 U.K: DEEP LEARNING MARKET, BY HARDWARE, 2017-2023 (USD MILLION)
  • TABLE 43 U.K: DEEP LEARNING MARKET, BY SOFTWARE, 2017-2023 (USD MILLION)
  • TABLE 44 U.K: DEEP LEARNING MARKET, BY SERVICES, 2017-2023 (USD MILLION)
  • TABLE 45 U.K: DEEP LEARNING MARKET, BY APPLICATION, 2017-2023 (USD MILLION)
  • TABLE 46 U.K: DEEP LEARNING MARKET, BY END-USER, 2017-2023 (USD MILLION)
  • TABLE 47 GERMANY: DEEP LEARNING MARKET, BY COMPONENT, 2017-2023 (USD MILLION)
  • TABLE 48 GERMANY: DEEP LEARNING MARKET, BY HARDWARE, 2017-2023 (USD MILLION)
  • TABLE 49 GERMANY: DEEP LEARNING MARKET, BY SOFTWARE, 2017-2023 (USD MILLION)
  • TABLE 50 GERMANY: DEEP LEARNING MARKET, BY SERVICES, 2017-2023 (USD MILLION)
  • TABLE 51 GERMANY: DEEP LEARNING MARKET, BY APPLICATION, 2017-2023 (USD MILLION)
  • TABLE 52 GERMANY: DEEP LEARNING MARKET, BY END-USER, 2017-2023 (USD MILLION)
  • TABLE 53 SPAIN: DEEP LEARNING MARKET, BY COMPONENT, 2017-2023 (USD MILLION)
  • TABLE 54 SPAIN: DEEP LEARNING MARKET, BY HARDWARE, 2017-2023 (USD MILLION)
  • TABLE 55 SPAIN: DEEP LEARNING MARKET, BY SOFTWARE, 2017-2023 (USD MILLION)
  • TABLE 56 SPAIN: DEEP LEARNING MARKET, BY SERVICES, 2017-2023 (USD MILLION)
  • TABLE 57 SPAIN: DEEP LEARNING MARKET, BY APPLICATION, 2017-2023 (USD MILLION)
  • TABLE 58 SPAIN: DEEP LEARNING MARKET, BY END-USER, 2017-2023 (USD MILLION)
  • TABLE 59 FRANCE: DEEP LEARNING MARKET, BY COMPONENT, 2017-2023 (USD MILLION)
  • TABLE 60 FRANCE: DEEP LEARNING MARKET, BY HARDWARE, 2017-2023 (USD MILLION)
  • TABLE 61 FRANCE: DEEP LEARNING MARKET, BY SOFTWARE, 2017-2023 (USD MILLION)
  • TABLE 62 FRANCE: DEEP LEARNING MARKET, BY SERVICES, 2017-2023 (USD MILLION)
  • TABLE 63 FRANCE: DEEP LEARNING MARKET, BY APPLICATION, 2017-2023 (USD MILLION)
  • TABLE 64 FRANCE: DEEP LEARNING MARKET, BY END-USER, 2017-2023 (USD MILLION)
  • TABLE 65 REST OF EUROPE: DEEP LEARNING MARKET, BY COMPONENT, 2017-2023 (USD MILLION)
  • TABLE 66 REST OF EUROPE: DEEP LEARNING MARKET, BY HARDWARE, 2017-2023 (USD MILLION)
  • TABLE 67 REST OF EUROPE: DEEP LEARNING MARKET, BY SOFTWARE, 2017-2023 (USD MILLION)
  • TABLE 68 REST OF EUROPE: DEEP LEARNING MARKET, BY SERVICES, 2017-2023 (USD MILLION)
  • TABLE 69 REST OF EUROPE: DEEP LEARNING MARKET, BY APPLICATION, 2017-2023 (USD MILLION)
  • TABLE 70 REST OF EUROPE: DEEP LEARNING MARKET, BY END-USER, 2017-2023 (USD MILLION)
  • TABLE 71 ASIA-PACIFIC: DEEP LEARNING MARKET, BY COUNTRY, 2017-2023 (USD MILLION)
  • TABLE 72 ASIA-PACIFIC: DEEP LEARNING MARKET, BY COMPONENT, 2017-2023 (USD MILLION)
  • TABLE 73 ASIA-PACIFIC: DEEP LEARNING MARKET, BY HARDWARE, 2017-2023 (USD MILLION)
  • TABLE 74 ASIA-PACIFIC: DEEP LEARNING MARKET, BY SOFTWARE, 2017-2023 (USD MILLION)
  • TABLE 75 ASIA-PACIFIC: DEEP LEARNING MARKET, BY SERVICES, 2017-2023 (USD MILLION)
  • TABLE 76 ASIA-PACIFIC: DEEP LEARNING MARKET, BY APPLICATION, 2017-2023 (USD MILLION)
  • TABLE 77 ASIA-PACIFIC: DEEP LEARNING MARKET, BY END-USER, 2017-2023 (USD MILLION)
  • TABLE 78 CHINA: DEEP LEARNING MARKET, BY COMPONENT, 2017-2023 (USD MILLION)
  • TABLE 79 CHINA: DEEP LEARNING MARKET, BY HARDWARE, 2017-2023 (USD MILLION)
  • TABLE 80 CHINA: DEEP LEARNING MARKET, BY SOFTWARE, 2017-2023 (USD MILLION)
  • TABLE 81 CHINA: DEEP LEARNING MARKET, BY SERVICES, 2017-2023 (USD MILLION)
  • TABLE 82 CHINA: DEEP LEARNING MARKET, BY APPLICATION, 2017-2023 (USD MILLION)
  • TABLE 83 CHINA: DEEP LEARNING MARKET, BY END-USER, 2017-2023 (USD MILLION)
  • TABLE 84 JAPAN: DEEP LEARNING MARKET, BY COMPONENT, 2017-2023 (USD MILLION)
  • TABLE 85 JAPAN: DEEP LEARNING MARKET, BY HARDWARE, 2017-2023 (USD MILLION)
  • TABLE 86 JAPAN: DEEP LEARNING MARKET, BY SOFTWARE, 2017-2023 (USD MILLION)
  • TABLE 87 JAPAN: DEEP LEARNING MARKET, BY SERVICES, 2017-2023 (USD MILLION)
  • TABLE 88 JAPAN: DEEP LEARNING MARKET, BY APPLICATION, 2017-2023 (USD MILLION)
  • TABLE 89 JAPAN: DEEP LEARNING MARKET, BY END-USER, 2017-2023 (USD MILLION)
  • TABLE 90 AUSTRALIA: DEEP LEARNING MARKET, BY COMPONENT, 2017-2023 (USD MILLION)
  • TABLE 91 AUSTRALIA: DEEP LEARNING MARKET, BY HARDWARE, 2017-2023 (USD MILLION)
  • TABLE 92 AUSTRALIA: DEEP LEARNING MARKET, BY SOFTWARE, 2017-2023 (USD MILLION)
  • TABLE 93 AUSTRALIA: DEEP LEARNING MARKET, BY SERVICES, 2017-2023 (USD MILLION)
  • TABLE 94 AUSTRALIA: DEEP LEARNING MARKET, BY APPLICATION, 2017-2023 (USD MILLION)
  • TABLE 95 AUSTRALIA: DEEP LEARNING MARKET, BY END-USER, 2017-2023 (USD MILLION)
  • TABLE 96 INDIA: DEEP LEARNING MARKET, BY COMPONENT, 2017-2023 (USD MILLION)
  • TABLE 97 INDIA: DEEP LEARNING MARKET, BY HARDWARE, 2017-2023 (USD MILLION)
  • TABLE 98 INDIA: DEEP LEARNING MARKET, BY SOFTWARE, 2017-2023 (USD MILLION)
  • TABLE 99 INDIA: DEEP LEARNING MARKET, BY SERVICES, 2017-2023 (USD MILLION)
  • TABLE 100 INDIA: DEEP LEARNING MARKET, BY APPLICATION, 2017-2023 (USD MILLION)
  • TABLE 101 INDIA: DEEP LEARNING MARKET, BY END-USER, 2017-2023 (USD MILLION)
  • TABLE 102 REST OF ASIA-PACIFIC: DEEP LEARNING MARKET, BY COMPONENT, 2017-2023 (USD MILLION)
  • TABLE 103 REST OF ASIA-PACIFIC: DEEP LEARNING MARKET, BY HARDWARE, 2017-2023 (USD MILLION)
  • TABLE 104 REST OF ASIA-PACIFIC: DEEP LEARNING MARKET, BY SOFTWARE, 2017-2023 (USD MILLION)
  • TABLE 105 REST OF ASIA-PACIFIC: DEEP LEARNING MARKET, BY SERVICES, 2017-2023 (USD MILLION)
  • TABLE 106 REST OF ASIA-PACIFIC: DEEP LEARNING MARKET, BY APPLICATION, 2017-2023 (USD MILLION)
  • TABLE 107 REST OF ASIA-PACIFIC: DEEP LEARNING MARKET, BY END-USER, 2017-2023 (USD MILLION)
  • TABLE 108 REST OF THE WORLD (ROW): DEEP LEARNING MARKET, BY REGION, 2017-2023 (USD MILLION)
  • TABLE 109 REST OF THE WORLD (ROW): DEEP LEARNING MARKET, BY COMPONENT, 2017-2023 (USD MILLION)
  • TABLE 110 REST OF THE WORLD (ROW): DEEP LEARNING MARKET, BY HARDWARE, 2017-2023 (USD MILLION)
  • TABLE 111 REST OF THE WORLD (ROW): DEEP LEARNING MARKET, BY SOFTWARE, 2017-2023 (USD MILLION)
  • TABLE 112 REST OF THE WORLD (ROW): DEEP LEARNING MARKET, BY SERVICES, 2017-2023 (USD MILLION)
  • TABLE 113 REST OF THE WORLD (ROW): DEEP LEARNING MARKET, BY APPLICATION, 2017-2023 (USD MILLION)
  • TABLE 114 REST OF THE WORLD (ROW): DEEP LEARNING MARKET, BY END-USER, 2017-2023 (USD MILLION)
  • TABLE 115 MIDDLE EAST & AFRICA: DEEP LEARNING MARKET, BY COMPONENT, 2017-2023 (USD MILLION)
  • TABLE 116 MIDDLE EAST & AFRICA: DEEP LEARNING MARKET, BY HARDWARE, 2017-2023 (USD MILLION)
  • TABLE 117 MIDDLE EAST & AFRICA: DEEP LEARNING MARKET, BY SOFTWARE, 2017-2023 (USD MILLION)
  • TABLE 118 MIDDLE EAST & AFRICA: DEEP LEARNING MARKET, BY SERVICES, 2017-2023 (USD MILLION)
  • TABLE 119 MIDDLE EAST & AFRICA: DEEP LEARNING MARKET, BY APPLICATION, 2017-2023 (USD MILLION)
  • TABLE 120 MIDDLE EAST & AFRICA: DEEP LEARNING MARKET, BY END-USER, 2017-2023 (USD MILLION)
  • TABLE 121 SOUTH AMERICA: DEEP LEARNING MARKET, BY COMPONENT, 2017-2023 (USD MILLION)
  • TABLE 122 SOUTH AMERICA: DEEP LEARNING MARKET, BY HARDWARE, 2017-2023 (USD MILLION)
  • TABLE 123 SOUTH AMERICA: DEEP LEARNING MARKET, BY SOFTWARE, 2017-2023 (USD MILLION)
  • TABLE 124 SOUTH AMERICA: DEEP LEARNING MARKET, BY SERVICES, 2017-2023 (USD MILLION)
  • TABLE 125 SOUTH AMERICA: DEEP LEARNING MARKET, BY APPLICATION, 2017-2023 (USD MILLION)
  • TABLE 126 SOUTH AMERICA: DEEP LEARNING MARKET, BY END-USER, 2017-2023 (USD MILLION)

List of Figures

  • FIGURE 1 GLOBAL DEEP LEARNING MARKET: MARKET STRUCTURE
  • FIGURE 2 TOP DOWN & BOTTOM UP APPROACH
  • FIGURE 3 DROC ANALYSIS OF GLOBAL DEEP LEARNING MARKET
  • FIGURE 4 VALUE CHAIN ANALYSIS OF THE GLOBAL DEEP LEARNING MARKET
  • FIGURE 5 PORTER'S FIVE FORCES ANALYSIS OF THE GLOBAL DEEP LEARNING MARKET
  • FIGURE 6 DEEP LEARNING AND MACHINE LEARNING LIFE CYCLE
  • FIGURE 7 GLOBAL DEEP LEARNING MARKET, BY COMPONENT, 2017-2023 (USD MILLION)
  • FIGURE 8 GLOBAL DEEP LEARNING MARKET, BY HARDWARE, 2017-2023 (USD MILLION)
  • FIGURE 9 GLOBAL DEEP LEARNING MARKET, BY SOFTWARE, 2017-2023 (USD MILLION)
  • FIGURE 10 GLOBAL DEEP LEARNING MARKET, BY SERVICES, 2017-2023 (USD MILLION)
  • FIGURE 11 GLOBAL DEEP LEARNING MARKET, BY APPLICATION, 2017-2023 (USD MILLION)
  • FIGURE 12 GLOBAL DEEP LEARNING MARKET, BY END-USER, 2017-2023 (USD MILLION)
  • FIGURE 13 GLOBAL DEEP LEARNING MARKET, BY REGION, 2017-2023 (USD MILLION)
  • FIGURE 14 NORTH AMERICA: DEEP LEARNING MARKET, BY COUNTRY, 2017-2023 (USD MILLION)
  • FIGURE 15 NORTH AMERICA: DEEP LEARNING MARKET, BY COMPONENT, 2017-2023 (USD MILLION)
  • FIGURE 16 NORTH AMERICA: DEEP LEARNING MARKET, BY HARDWARE, 2017-2023 (USD MILLION)
  • FIGURE 17 NORTH AMERICA: DEEP LEARNING MARKET, BY SOFTWARE, 2017-2023 (USD MILLION)
  • FIGURE 18 NORTH AMERICA: DEEP LEARNING MARKET, BY SERVICES, 2017-2023 (USD MILLION)
  • FIGURE 19 NORTH AMERICA: DEEP LEARNING MARKET, BY APPLICATION, 2017-2023 (USD MILLION)
  • FIGURE 20 NORTH AMERICA: DEEP LEARNING MARKET, BY END-USER, 2017-2023 (USD MILLION)
  • FIGURE 21 EUROPE: DEEP LEARNING MARKET, BY COUNTRY, 2017-2023 (USD MILLION)
  • FIGURE 22 EUROPE: DEEP LEARNING MARKET, BY COMPONENT, 2017-2023 (USD MILLION)
  • FIGURE 23 EUROPE: DEEP LEARNING MARKET, BY HARDWARE, 2017-2023 (USD MILLION)
  • FIGURE 24 EUROPE: DEEP LEARNING MARKET, BY SOFTWARE, 2017-2023 (USD MILLION)
  • FIGURE 25 EUROPE: DEEP LEARNING MARKET, BY SERVICES, 2017-2023 (USD MILLION)
  • FIGURE 26 EUROPE: DEEP LEARNING MARKET, BY APPLICATION, 2017-2023 (USD MILLION)
  • FIGURE 27 EUROPE: DEEP LEARNING MARKET, BY END-USER, 2017-2023 (USD MILLION)
  • FIGURE 28 ASIA-PACIFIC: DEEP LEARNING MARKET, BY COUNTRY, 2017-2023 (USD MILLION)
  • FIGURE 29 ASIA-PACIFIC: DEEP LEARNING MARKET, BY COMPONENT, 2017-2023 (USD MILLION)
  • FIGURE 30 ASIA-PACIFIC: DEEP LEARNING MARKET, BY HARDWARE, 2017-2023 (USD MILLION)
  • FIGURE 31 ASIA-PACIFIC: DEEP LEARNING MARKET, BY SOFTWARE, 2017-2023 (USD MILLION)
  • FIGURE 32 ASIA-PACIFIC: DEEP LEARNING MARKET, BY SERVICES, 2017-2023 (USD MILLION)
  • FIGURE 33 ASIA-PACIFIC DEEP LEARNING MARKET, BY APPLICATION, 2017-2023 (USD MILLION)
  • FIGURE 34 ASIA-PACIFIC DEEP LEARNING MARKET, BY END-USER, 2017-2023 (USD MILLION)
  • FIGURE 35 REST OF THE WORLD (ROW): DEEP LEARNING MARKET, BY REGION, 2017-2023 (USD MILLION)
  • FIGURE 36 REST OF THE WORLD (ROW) DEEP LEARNING MARKET, BY COMPONENT, 2017-2023 (USD MILLION)
  • FIGURE 37 REST OF THE WORLD (ROW) DEEP LEARNING MARKET, BY HARDWARE, 2017-2023 (USD MILLION)
  • FIGURE 38 REST OF THE WORLD (ROW) DEEP LEARNING MARKET, BY SOFTWARE, 2017-2023 (USD MILLION)
  • FIGURE 39 REST OF THE WORLD (ROW) DEEP LEARNING MARKET, BY SERVICES, 2017-2023 (USD MILLION)
  • FIGURE 40 REST OF THE WORLD (ROW) DEEP LEARNING MARKET, BY APPLICATION, 2017-2023 (USD MILLION)
  • FIGURE 41 REST OF THE WORLD (ROW) DEEP LEARNING MARKET, BY END-USER, 2017-2023 (USD MILLION)
  • FIGURE 42 GLOBAL DEEP LEARNINGKEY PLAYERS MARKET SHARE, 2018 (%)
目次

Global Deep Learning Market Research Report: by Component (Hardware, Software, Services), Application (Image Recognition, Data Mining, Signal Recognition), End User (Security, Manufacturing, BFSI, Healthcare, Agriculture) and Region - Forecast till 2023

Market analysis

Global deep learning market is relied upon to observe significant development during the conjecture time frame. North America is assessed to be a prominent area for deep learning market because of the nearness of key market players, vigorously putting resources into the innovative work of profound learning programming, stages, applications, and frameworks over the US, Canada, and Mexico. So also, expanding interest for deep learning innovation for regular language handling and voice/discourse acknowledgment in the European budgetary administration industry is anticipated to drive the profound learning market in the coming years. In November 2017, Google built up its coordinated effort apparatus named Colaboratory, that can run code and show yield inside the report. It depends on Jupyter (an open-source stage for programming advancement utilizing python) and enables the clients to share and utilize note pads with another client without introducing it on the PC. the market is expected to grow at 30.87% CAGR during the forecast period.

Market segmentation

The global deep learning market is segmented on the basis of its component, end-user, application, and regional demand. On the basis of its component, the market is bifurcated into Software, Hardware, and Services. Based on its application, the market is bifurcated into Signal Recognition, Data Mining, Image Recognition, and Others. On the basis of its End-User, the market is segmented into Security, Retail, Manufacturing, Automotive, BFSI, Media & Entertainment, Agriculture, Healthcare, among others.

Regional analysis

Geographically, the global deep learning market is divided into global regions like Europe, North America, Asia- Pacific, Middle East, LATAM, and Africa.

Major players

Mellanox Technologies (USA), Adapteva, Inc. (USA), Qualcomm Technologies Inc. (USA), NVIDIA Corporation (USA), Baidu Inc (China), IBM Corporation (USA), Amazon Inc. (USA), Intel Corporation (USA), Samsung Electronics Co Ltd (South Korea), Micron Technology (USA), Sensory Inc. (USA), Xilinx Inc. (USA), Google LLC (USA), among others are some of the major players in the global deep learning market.

Table of Contents

1 Executive Summary

2 Market Introduction

  • 2.1 Definition
  • 2.2 Scope of the Study
  • 2.3 Market Structure

3 Research Methodology

  • 3.1 Research Process
  • 3.2 List of Assumptions
  • 3.3 Forecast Model

4 Market Dynamics

  • 4.1 Introduction
  • 4.2 Drivers
    • 4.2.1 Increasing adoption of cloud-based services
    • 4.2.2 Increasing unstructured data leads to the increasing demand for deep learning solutions
  • 4.3 Restraint
    • 4.3.1 Lack of technical expertise
  • 4.4 Opportunities
    • 4.4.1 Advantages of deep learning solutions in healthcare, agriculture, and marketing automation application
  • 4.5 Challenge
    • 4.5.1 Requirement of massive datasets for training
  • 4.6 Value Chain Analysis
    • 4.6.1 Design
    • 4.6.2 Card/Processors
    • 4.6.3 System & Software
    • 4.6.4 End-users & Services
  • 4.7 Porter's Five Forces Model
    • 4.7.1 Threat of New Entrants
    • 4.7.2 Bargaining Power of Suppliers
    • 4.7.3 Bargaining Power of Buyers
    • 4.7.4 Threat of Substitutes
    • 4.7.5 Intensity of Rivalry
  • 4.8 Evolution of Machine Learning
    • 4.8.1 Correlation of Machine Learning and Deep Learning
    • 4.8.2 Machine Learning Adoption by Region
      • 4.8.2.1 North America
      • 4.8.2.2 Europe
      • 4.8.2.3 Asia-Pacific
      • 4.8.2.4 Rest of the world (ROW)
  • 4.9 Evolution of Deep Learning
  • 4.1 Deep Learning Life Cycle
    • 4.10.1 Defining Project Objectives
    • 4.10.2 Acquiring and Exploring Data
    • 4.10.3 Data Modelling
    • 4.10.4 Interpretation and Communication
    • 4.10.5 Implementation, Documentation and Maintenance
  • 4.11 Use Cases
    • 4.11.1 Drug Discovery and Medical Treatment
    • 4.11.2 Predictive Maintenance
    • 4.11.3 Customer Service Management and Personalized Service Offerings
    • 4.11.4 Logistics Optimization
    • 4.11.5 Voice and Image Recognition
  • 4.12 Deep Learning Architectures/ Models
    • 4.12.1 Recurrent Neural Network (RNN)
    • 4.12.2 Convolutional Neural Network (CNN)
    • 4.12.3 Unsupervised Pretrained Network (UPN)
      • 4.12.3.1 Deep Belief Network (DBN)
      • 4.12.3.2 Generative Adversarial Network (GAN)

5 Global Deep Learning Market, By Component

  • 5.1 Overview
    • 5.1.1 Hardware
      • 5.1.1.1 Processors
      • 5.1.1.2 Memory
      • 5.1.1.3 Network
    • 5.1.2 Software
      • 5.1.2.1 Solution
      • 5.1.2.2 Platform
    • 5.1.3 Services
      • 5.1.3.1 Installation
      • 5.1.3.2 Training
      • 5.1.3.3 Support & Maintenance

6 Global Deep Learning Market, By Application

  • 6.1 Introduction
    • 6.1.1 Image Recognition
    • 6.1.2 Data Mining
    • 6.1.3 Signal Recognition
    • 6.1.4 Others

7 Global Deep Learning Market, By End-User

  • 7.1 Introduction
    • 7.1.1 Security
    • 7.1.2 Manufacturing
    • 7.1.3 Retail
    • 7.1.4 Automotive
    • 7.1.5 Media & Entertainment
    • 7.1.6 BFSI
    • 7.1.7 Healthcare
    • 7.1.8 Agriculture
    • 7.1.9 Others

8 Global Deep Learning Market, By Region

  • 8.1 Introduction
  • 8.2 North America
    • 8.2.1 US
    • 8.2.2 Canada
    • 8.2.3 Mexico
  • 8.3 Europe
    • 8.3.1 UK
    • 8.3.2 Germany
    • 8.3.3 Spain
    • 8.3.4 France
    • 8.3.5 Rest of Europe
  • 8.4 Asia-Pacific
    • 8.4.1 China
    • 8.4.2 Japan
    • 8.4.3 Australia
    • 8.4.4 India
    • 8.4.5 Rest of Asia-Pacific
  • 8.5 Rest of the World (ROW)
    • 8.5.1 Middle East & Africa
    • 8.5.2 South America

9 Competitive Landscape

  • 9.1 Key Players Market Share Analysis, 2018 (%)

10 Company Profiles

  • 10.1 Amazon Inc.
    • 10.1.1 Company Overviews
    • 10.1.2 Financial Overview
    • 10.1.4 Key Developments
    • 10.1.5 SWOT Analysis
    • 10.1.6 Key Strategies
  • 10.2 Intel Corporation
    • 10.2.1 Company Overviews
    • 10.2.2 Financial Overview
    • 10.2.3 Products/Services/Solutions Offered
    • 10.2.4 Key Developments
    • 10.2.5 SWOT Analysis
    • 10.2.6 Key Strategies
  • 10.3 Samsung Electronics Co Ltd
    • 10.3.1 Company Overviews
    • 10.3.2 Financial Overview
    • 10.3.4 Key Developments
    • 10.3.5 SWOT Analysis
    • 10.3.6 Key Strategies
  • 10.4 Micron Technology
    • 10.4.1 Company Overviews
    • 10.4.2 Financial Overview
    • 10.4.4 Key Developments
    • 10.4.5 SWOT Analysis
    • 10.4.6 Key Strategies
  • 10.5 Sensory Inc
    • 10.5.1 Company Overviews
    • 10.5.3 Key Developments
    • 10.5.4 SWOT Analysis
    • 10.5.5 Key Strategies
  • 10.6 Xilinx Inc
    • 10.6.1 Company Overviews
    • 10.6.2 Financial Overview
    • 10.6.3 Products/Services/Solutions Offered
    • 10.6.4 Key Developments
    • 10.6.5 SWOT Analysis
    • 10.6.6 Key Strategies
  • 10.7 Google LLC
    • 10.7.1 Company Overviews
    • 10.7.2 Financial Overview
    • 10.7.4 Key Developments
    • 10.7.5 SWOT Analysis
    • 10.7.6 Key Strategies
  • 10.8 Mellanox Technologies
    • 10.8.1 Company Overviews
    • 10.8.2 Financial Overview
    • 10.8.4 Key Developments
    • 10.8.5 SWOT Analysis
    • 10.8.6 Key Strategies
  • 10.9 Adapteva, Inc.
    • 10.9.1 Company Overviews
    • 10.9.3 SWOT Analysis
  • 10.1 Qualcomm Technologies Inc
    • 10.10.1 Company Overviews
    • 10.10.2 Financial Overview
    • 10.10.4 Key Developments
    • 10.10.5 SWOT Analysis
    • 10.10.6 Key Strategies
  • 10.11 NVIDIA Corporation
    • 10.11.1 Company Overviews
    • 10.11.2 Financial Overview
    • 10.11.3 Products/Services/Solutions Offered
    • 10.11.4 Key Developments
    • 10.11.5 SWOT Analysis
    • 10.11.6 Key Strategies
  • 10.12 Baidu Inc
    • 10.12.1 Company Overviews
    • 10.12.2 Financial Overview
    • 10.12.4 Key Developments
    • 10.12.5 SWOT Analysis
    • 10.12.6 Key Strategies
  • 10.13 IBM Corporation
    • 10.13.1 Company Overviews
    • 10.13.2 Financial Overview
    • 10.13.4 Key Developments
    • 10.13.5 SWOT Analysis
    • 10.13.6 Key Strategies
  • 10.14 Advanced Micro Devices Inc
    • 10.14.1 Company Overviews
    • 10.14.2 Financial Overview
    • 10.14.4 Key Developments
    • 10.14.5 SWOT Analysis
    • 10.14.6 Key Strategies
  • 10.15 Microsoft Corporation
    • 10.15.1 Company Overview
    • 10.15.2 Financial Overview
    • 10.15.3 Products/Services Offered
    • 10.15.4 Key Developments
    • 10.15.5 SWOT Analysis
    • 10.15.6 Key Strategies
  • 10.16 Facebook
    • 10.16.1 Company Overview
    • 10.16.2 Financial Overview
    • 10.16.3 Products/Services Offered
    • 10.16.4 Key Developments
    • 10.16.5 SWOT Analysis
    • 10.16.6 Key Strategies
  • 10.17 Tenstorrent
    • 10.17.1 Company Overview
    • 10.17.2 Products/Services/Solutions Offered
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