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深層学習 (ディープラーニング) の世界市場 - コンポーネント別 (ハードウェア、ソフトウェア、サービス)・用途別・エンドユーザー別・地域別:市場規模・シェア・将来展望・機会分析

Deep Learning Market, By Component (Hardware, Software, and Service ), by Application, By End User, and by Region - Size, Share, Outlook, and Opportunity Analysis, 2020 - 2027

出版日: | 発行: Coherent Market Insights | ページ情報: 英文 150 Pages | 納期: 2-3営業日

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深層学習 (ディープラーニング) の世界市場 - コンポーネント別 (ハードウェア、ソフトウェア、サービス)・用途別・エンドユーザー別・地域別:市場規模・シェア・将来展望・機会分析
出版日: 2020年12月17日
発行: Coherent Market Insights
ページ情報: 英文 150 Pages
納期: 2-3営業日
  • 全表示
  • 概要
  • 目次
概要

世界の深層学習市場の主な促進要因として、各種ハードウェア・ソフトウェア・サービスにおける人工知能 (AI) やIoT (モノのインターネット) の普及浸透などが挙げられます。エンドユーザー別に見ると、銀行・金融サービス・保険 (BFSI) 向け需要の大幅な拡大が見込まれています。市場競争力の強化を目的に、各企業は技術開発に精力的に取り組んでいます。

当レポートでは、世界のディープラーニング (深層学習) の市場について分析し、技術の概要や、市場の基本構造および促進・抑制要因、全体的な市場規模の見通し (金額ベース、過去4年間・今後8年間分)、コンポーネント別・用途別・エンドユーザー別・地域別の詳細動向、主要企業のプロファイル・業績・戦略計画などを調査しております。

目次

第1章 分析目的・前提条件

第2章 市場概略

  • 分析概要
    • 市場の定義と範囲
  • エグゼクティブサマリー
  • COM (Coherent Opportunity Map:市場機会マップ)

第3章 市場の力学・規制・動向の分析

  • 市場力学
    • 市場促進要因
    • 市場抑制要因
    • 市場機会
    • 規制シナリオ
    • 業界動向
    • 企業合併・買収 (M&A)
    • 新製品の上市/認証
    • バリューチェーン分析
    • ポーターのファイブフォース分析
    • PEST分析
  • 新型コロナウイルス感染症 (COVID-19) の影響

第4章 世界の深層学習市場:コンポーネント別

  • イントロダクション
  • ハードウェア
  • ソフトウェア
  • サービス

第5章 世界の深層学習市場:用途別

  • イントロダクション
  • 画像認識
  • 音声認識
  • ビデオ監視・診断
  • データマイニング

第6章 世界の深層学習市場:エンドユーザー別

  • イントロダクション
  • 自動車
  • 航空宇宙・防衛
  • 銀行・金融サービス・保険 (BFSI)
  • 医療
  • 製造
  • 小売業
  • その他

第7章 世界の深層学習市場:地域別

  • イントロダクション
  • 北米
  • 欧州
  • アジア太平洋
  • ラテンアメリカ
  • 中東・アフリカ

第8章 競合情勢

  • 企業プロファイル
    • NVIDIA Corporation
    • Intel Corporation
    • Xilinx
    • Micron Technology, Inc.
    • Qualcomm Technologies, Inc.
    • IBM Corporation
    • Google Inc.
    • Microsoft
    • Facebook, Inc.
    • Samsung Electronics Co., Ltd.
    • Sensory Inc.
    • Pathmind, Inc.
    • Baidu Inc.
    • Nuance Communications
    • Systems, Inc.
    • Apple, Inc.
    • Wipro Limited
  • アナリストの見解

第9章 付録

目次

Title:
Deep Learning Market, By Component (Hardware, Software, and Service (Installation Service, Integration Service, and Maintenance & Support Service)), by Application (Image Recognition, Voice Recognition, Video Surveillance & Diagnostics, and Data Mining), By End User (Automotive, Aerospace & Defense, BFSI, Healthcare, Manufacturing, Retail, and Others), and by Region (North America, Europe, Asia Pacific, Latin America, and Middle East and Africa) - Size, Share, Outlook, and Opportunity Analysis, 2020 - 2027.

Deep Learning is an approach of machine learning that uses neural networks to facilitate unsupervised patterns generated from a large volume of unstructured data. Deep learning or deep structured learning use statistics and predictive modeling for analyzing and interpreting large volumes of unstructured data. It uses many complex structured and unstructured algorithms to generate meaningful insights from the data. It also uses artificial technology to mimic the functioning of the human brain while processing data, patterns, and is helpful in decision making. Deep learning is mainly used in self-driving vehicles, speech recognition software, language translation services, and voice recognition tools. This technology is being adopted in many applications such as healthcare, automotive, retail, aerospace & defense, and others.

Market Dynamics

The global deep learning market is expected to grow significantly during the forecast period, owing to the increasing adoption of artificial intelligence, deep learning, and IoT technologies in hardware, software, and services components. The increasing demand for artificial intelligence and the internet of things (IoT) created a demand for deep learning technology for high computing technologies. Many companies are manufacturing hardware components such as processor, memory, and network hardware that are optimized with artificial intelligence. For instance, in April 2016, NVIDIA, a U.S.-based technology company, launched DGX-1, the first deep learning supercomputer to meet the unlimited computing demand of artificial intelligence. The deep learning software solutions are used in various applications and compatible platforms for high computing applications such as supercomputer. The software consists of libraries and software development kits that can be used for re-programming. Machine learning in services such as managed and professional help many organizations to understand deep learning algorithms to enhance productivity and efficiency. For instance, as cyber threats across the globe have increased, managed services are used by the companies in order to decrease cyber threats in the organizations. For instance, according to a report published by Hiscox Inc., a Bermuda-based international insurance group, 74% of the organization has a new infrastructure and 10% of the organization has the necessary infrastructure to deal with cyber threats. To overcome threats, managed service is one of the major solutions that will drive the market growth.

Among end user, the banking, financial services, and insurance (BFSI) segment is expected to exhibit the highest growth during the forecast period. The deep learning solutions provide support to the financial service providers to protect their data, customers, meet industry & government compliance standards, and avoid damage caused by data breaches. For instance, in August 2019, Visa Inc., a U.S.-based multinational financial service provider company, launched a security suite to prevent payment frauds. The BFSI segment is continuously focusing on upgrading its processing and transactional technologies, and also focusing on providing end-to-end security for transactions to minimize the fraud. For instance, in September 2016, healthcare and banking, financial services, and insurance (BFSI) used Microsoft cloud platforms to protect employee data, and optimize business processes and models. The industry is facing challenges in maintaining the application, network, and data security. The attackers are targeting these sectors with viruses, malware, and other cyber-attacks. All these factors are expected to drive the deep learning market growth during the forecast period.

Moreover, major global players across different regions are focusing on developing new products with new features and technologies to remain competitive in the market. Industries are focusing on developing new products with new features to cater to the demand from the end users. For instance, in November 2017, Amazon Web Services Inc., (AWS), a subsidiary of Amazon.com Inc., announced a collaboration with Intel Corporation, a U.S.-based multinational technology company and they have launched DeepLens, a deep learning wireless video camera. Through this collaboration, DeepLens camera provides creators great tools to design and build artificial intelligence (AI) and machine learning products.

Key features of the study:

  • This report provides in-depth analysis of the global deep learning market size (US$ Billion) and compound annual growth rate (CAGR %) for the forecast period (2020- 2027), considering 2019 as the base year
  • It elucidates potential revenue opportunities across different segments and explains attractive investment proposition matrices for this market
  • This study also provides key insights about market drivers, restraints, opportunities, new product launches or approvals, regional outlook, and competitive strategies adopted by the leading market players
  • It profiles leading players in the global deep learning market based on the following parameters - company overview, financial performance, product portfolio, geographical presence, market capital, key developments, strategies, and future plans
  • Companies covered as a part of this study include NVIDIA Corporation, Intel Corporation, Xilinx, Micron Technology, Inc., Qualcomm Technologies, Inc., IBM Corporation, Google Inc., Microsoft, Facebook, Inc., Samsung Electronics Co., Ltd., Sensory Inc., Pathmind, Inc., Baidu Inc, Nuance Communications, Cisco Systems, Inc., Apple, Inc., and Wipro Limited
  • Insights from this report would allow marketers and management authorities of companies to make informed decisions regarding future product launches, product upgrades, market expansion, and marketing tactics
  • The global deep learning market report caters to various stakeholders in this industry including investors, suppliers, managed service providers, third-party service providers, distributors, new entrants, and value-added resellers
  • Stakeholders would have ease in decision-making through various strategy matrices used in analyzing the global deep learning market

Detailed Segmentation

  • Global Deep Learning Market, By Component:
    • Hardware
    • Software
    • Services
      • Installation Service
      • Integration Service
      • Maintenance & Support Service
  • Global Deep Learning Market, By Application:
    • Image Recognition
    • Voice Recognition
    • Video Surveillance & Diagnostics
    • Data Mining
  • Global Deep Learning Market, By End User:
    • Automotive
    • Aerospace & Defense
    • BFSI
    • Healthcare
    • Manufacturing
    • Retail
    • Others
  • Global Deep Learning Market, By Region:
    • North America
      • By Component:
    • Hardware
    • Software
    • Services
      • Installation Service
      • Integration Service
      • Maintenance & Support Service
      • By Application:
    • Image Recognition
    • Voice Recognition
    • Video Surveillance & Diagnostics
    • Data Mining
      • By End User:
    • Automotive
    • Aerospace & Defense
    • BFSI
    • Healthcare
    • Manufacturing
    • Retail
    • Others
      • By Country:
    • U.S.
    • Canada
    • Europe
      • By Component:
    • Hardware
    • Software
    • Services
      • Installation Service
      • Integration Service
      • Maintenance & Support Service
      • By Application:
    • Image Recognition
    • Voice Recognition
    • Video Surveillance & Diagnostics
    • Data Mining
      • By End User:
    • Automotive
    • Aerospace & Defense
    • BFSI
    • Healthcare
    • Manufacturing
    • Retail
    • Others
      • By Country:
    • Germany
    • U.K.
    • France
    • Italy
    • Spain
    • Russia
    • Rest of Europe
    • Asia Pacific
      • By Component:
    • Hardware
    • Software
    • Services
      • Installation Service
      • Integration Service
      • Maintenance & Support Service
      • By Application:
    • Image Recognition
    • Voice Recognition
    • Video Surveillance & Diagnostics
    • Data Mining
      • By End User:
    • Automotive
    • Aerospace & Defense
    • BFSI
    • Healthcare
    • Manufacturing
    • Retail
    • Others
      • By Country:
    • China
    • India
    • Japan
    • Australia
    • South Korea
    • ASEAN
    • Rest of Asia Pacific
    • Latin America
      • By Component:
    • Hardware
    • Software
    • Services
      • Installation Service
      • Integration Service
      • Maintenance & Support Service
      • By Application:
    • Image Recognition
    • Voice Recognition
    • Video Surveillance & Diagnostics
    • Data Mining
      • By End User:
    • Automotive
    • Aerospace & Defense
    • BFSI
    • Healthcare
    • Manufacturing
    • Retail
    • Others
      • By Country:
    • Brazil
    • Mexico
    • Argentina
    • Rest of Latin America
    • Middle East and Africa
      • By Component:
    • Hardware
    • Software
    • Services
      • Installation Service
      • Integration Service
      • Maintenance & Support Service
      • By Application:
    • Image Recognition
    • Voice Recognition
    • Video Surveillance & Diagnostics
    • Data Mining
      • By End User:
    • Automotive
    • Aerospace & Defense
    • BFSI
    • Healthcare
    • Manufacturing
    • Retail
    • Others
      • By Country/Region:
    • GCC Countries
    • South Africa
    • Rest of Middle East and Africa
  • Company Profiles
    • NVIDIA Corporation*
      • Company Overview
      • Product Portfolio
      • Financial Performance
      • Key Strategies
      • Recent Developments/ Updates
    • Intel Corporation
    • Xilinx
    • Micron Technology, Inc.
    • Qualcomm Technologies, Inc.
    • IBM Corporation
    • Google Inc.
    • Microsoft
    • Facebook, Inc.
    • Samsung Electronics Co., Ltd.
    • Sensory Inc.
    • Pathmind, Inc.
    • Baidu Inc.
    • Nuance Communications
    • Cisco Systems, Inc.
    • Apple, Inc.
    • Wipro Limited

"*" marked represents similar pointers for each company

Table of Contents

1. Research Objectives and Assumptions

  • Research Objectives
  • Assumptions
  • Abbreviations

2. Market Purview

  • Report Description
    • Market Definition and Scope
  • Executive Summary
    • Market Snippet, By Component
    • Market Snippet, By Application
    • Market Snippet, By End User
    • Market Snippet, By Region
  • Coherent Opportunity Map (COM)

3. Market Dynamics, Regulations, and Trends Analysis

  • Market Dynamics
    • Drivers
    • Restraints
    • Market Opportunities
    • Regulatory Scenario
    • Industry Trend
    • Merger and Acquisitions
    • New system Launch/Approvals
    • Value Chain Analysis
    • Porter's Analysis
    • PEST Analysis
  • Impact of COVID-19

4. Global Deep Learning Market, By Component, 2020-2027 (US$ Billion)

  • Introduction
    • Market Share Analysis, 2020 and 2027 (%)
    • Segment Trends
  • Hardware
    • Introduction
    • Market Size and Forecast, 2020-2027, (US$ Billion)
  • Software
    • Introduction
    • Market Size and Forecast, 2020-2027, (US$ Billion)
  • Services
    • Introduction
    • Market Size and Forecast, 2020-2027, (US$ Billion)
    • Installation Service
    • Integration Service
    • Maintenance & Support Service

5. Global Deep Learning Market, By Application, 2020-2027 (US$ Billion)

  • Introduction
    • Market Share Analysis, 2020 and 2027 (%)
    • Segment Trends
  • Image Recognition
    • Introduction
    • Market Size and Forecast, 2020-2027, (US$ Billion)
  • Voice Recognition
    • Introduction
    • Market Size and Forecast, 2020-2027, (US$ Billion)
  • Video Surveillance & Diagnostics
    • Introduction
    • Market Size and Forecast, 2020-2027, (US$ Billion)
  • Data Mining
    • Introduction
    • Market Size and Forecast, 2020-2027, (US$ Billion)

6. Global Deep Learning Market, By End User, 2020-2027 (US$ Billion)

  • Introduction
    • Market Share Analysis, 2020 and 2027 (%)
    • Segment Trends
  • Automotive
    • Introduction
    • Market Size and Forecast, 2020-2027, (US$ Billion)
  • Aerospace & Defense
    • Introduction
    • Market Size and Forecast, 2020-2027, (US$ Billion)
  • BFSI
    • Introduction
    • Market Size and Forecast, 2020-2027, (US$ Billion)
  • Healthcare
    • Introduction
    • Market Size and Forecast, 2020-2027, (US$ Billion)
  • Manufacturing
    • Introduction
    • Market Size and Forecast, 2020-2027, (US$ Billion)
  • Retail
    • Introduction
    • Market Size and Forecast, 2020-2027, (US$ Billion)
  • Others
    • Introduction
    • Market Size and Forecast, 2020-2027, (US$ Billion)

7. Global Deep Learning Market, By Region, 2020-2027 (US$ Billion)

  • Introduction
    • Market Share Analysis, By Region, 2020 and 2027 (%)
  • North America
    • Regional Trends
    • Market Size and Forecast, By Component, 2020-2027 (US$ Billion)
    • Billion)
    • Market Size and Forecast, By Application, 2020-2027 (US$ Billion)
    • Market Size and Forecast, By End User, 2020-2027 (US$ Billion)
    • Market Share Analysis, By Country, 2020 and 2027 (%)
    • U.S.
    • Canada
  • Europe
    • Regional Trends
    • Market Size and Forecast, By Component, 2020-2027 (US$ Billion)
    • Billion)
    • Market Size and Forecast, By Application, 2020-2027 (US$ Billion)
    • Market Size and Forecast, By End User, 2020-2027 (US$ Billion)
    • Market Share Analysis, By Country, 2020 and 2027 (%)
    • U.K.
    • Germany
    • Spain
    • Italy
    • France
    • Russia
    • Rest of Europe
  • Asia Pacific
    • Regional Trends
    • Market Size and Forecast, By Component, 2020-2027 (US$ Billion)
    • Billion)
    • Market Size and Forecast, By Application, 2020-2027 (US$ Billion)
    • Market Size and Forecast, By End User, 2020-2027 (US$ Billion)
    • Market Share Analysis, By Country, 2020 and 2027 (%)
    • China
    • India
    • Japan
    • ASEAN
    • Australia
    • South Korea
    • Rest of Asia Pacific
  • Latin America
    • Regional Trends
    • Market Size and Forecast, By Component, 2020-2027 (US$ Billion)
    • Billion)
    • Market Size and Forecast, By Application, 2020-2027 (US$ Billion)
    • Market Size and Forecast, By End User, 2020-2027 (US$ Billion)
    • Market Share Analysis, By Country, 2020 and 2027 (%)
    • Brazil
    • Argentina
    • Mexico
    • Rest of Latin America
  • Middle East and Africa
    • Regional Trends
    • Market Size and Forecast, By Component, 2020-2027 (US$ Billion)
    • Billion)
    • Market Size and Forecast, By Application, 2020-2027 (US$ Billion)
    • Market Size and Forecast, By End User, 2020-2027 (US$ Billion)
    • Market Share Analysis, By Country/Region, 2020 and 2027 (%)
    • South Africa
    • GCC Countries
    • Rest of the Middle East and Africa

8. Competitive Landscape

  • Company Profiles
    • NVIDIA Corporation
    • Company Overview
    • Product Portfolio
    • Financial Performance
    • Key Strategies
    • Recent Developments/Updates
    • Intel Corporation
    • Company Overview
    • Product Portfolio
    • Financial Performance
    • Key Strategies
    • Recent Developments/Updates
    • Xilinx
    • Company Overview
    • Product Portfolio
    • Financial Performance
    • Key Strategies
    • Recent Developments/Updates
    • Micron Technology, Inc.
    • Company Overview
    • Product Portfolio
    • Financial Performance
    • Key Strategies
    • Recent Developments/Updates
    • Qualcomm Technologies, Inc.
    • Company Overview
    • Product Portfolio
    • Financial Performance
    • Key Strategies
    • Recent Developments/Updates
    • IBM Corporation
    • Company Overview
    • Product Portfolio
    • Financial Performance
    • Key Strategies
    • Recent Developments/Updates
    • Google Inc.
    • Company Overview
    • Product Portfolio
    • Financial Performance
    • Key Strategies
    • Recent Developments/Updates
    • Microsoft
    • Company Overview
    • Product Portfolio
    • Financial Performance
    • Key Strategies
    • Recent Developments/Updates
    • Facebook, Inc.
    • Company Overview
    • Product Portfolio
    • Financial Performance
    • Key Strategies
    • Recent Developments/Updates
    • Samsung Electronics Co., Ltd.
    • Company Overview
    • Product Portfolio
    • Financial Performance
    • Key Strategies
    • Recent Developments/Updates
    • Sensory Inc.
    • Company Overview
    • Product Portfolio
    • Financial Performance
    • Key Strategies
    • Recent Developments/Updates
    • Pathmind, Inc.
    • Company Overview
    • Product Portfolio
    • Financial Performance
    • Key Strategies
    • Recent Developments/Updates
    • Baidu Inc.
    • Company Overview
    • Product Portfolio
    • Financial Performance
    • Key Strategies
    • Recent Developments/Updates
    • Nuance Communications
    • Company Overview
    • Product Portfolio
    • Financial Performance
    • Key Strategies
    • Recent Developments/Updates
    • Systems, Inc.
    • Company Overview
    • Product Portfolio
    • Financial Performance
    • Key Strategies
    • Recent Developments/Updates
    • Apple, Inc.
    • Company Overview
    • Product Portfolio
    • Financial Performance
    • Key Strategies
    • Recent Developments/Updates
    • Wipro Limited
    • Company Overview
    • Product Portfolio
    • Financial Performance
    • Key Strategies
    • Recent Developments/Updates
  • Analyst Views

9. Section

  • References
  • Research Methodology
  • About us and Sales Contact
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