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表紙：ディープラーニング技術の世界市場
市場調査レポート
商品コード
909181

ディープラーニング技術の世界市場

Global Deep Learning Technology Market 2019 to 2025
出版日: | 発行: Orion Market Research Pvt Ltd | ページ情報: 英文 | 納期: 2～3営業日
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ディープラーニング技術の世界市場
出版日: 2019年07月18日
発行: Orion Market Research Pvt Ltd
ページ情報: 英文
納期: 2～3営業日
  • 全表示
  • 概要
  • 図表
  • 目次
概要

当レポートでは、世界のディープラーニング技術市場を調査し、市場の概要、用途・エンドユーザー・地域別の市場規模の推移と予測、市場の成長要因および阻害要因の分析、市場機会、市場シェアおよび戦略の分析、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 レポート概要

  • 調査方法とツール
  • 市場分析
    • セグメント別
    • 地域別

第2章 市場の概要と洞察

  • レポート範囲
  • アナリストの洞察と現在の市場動向
    • 主な調査結果
    • 提言
    • 結論
  • 規制

第3章 競争環境

  • 企業シェアの分析
  • 主要戦略の分析
  • 主要企業の分析
    • IBM Corp.
    • Google、LLC
    • Microsoft
    • Intel Corp.
    • Amazon Web Services、Inc.

第4章 市場の決定要因

  • 成長要因
  • 阻害要因
  • 市場機会

第5章 世界のディープラーニング技術市場：セグメント別

  • 用途別
    • データマイニング
    • 画像認識
    • 信号認識
    • その他（創薬）
  • エンドユーザー別
    • 銀行・金融サービス・保険
    • 製造
    • ヘルスケア
    • 自動車
    • その他（航空宇宙・防衛、IT・通信）

第6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
  • 欧州
    • 英国
    • ドイツ
    • イタリア
    • スペイン
    • フランス
    • その他
  • アジア太平洋地域
    • 中国
    • 日本
    • インド
    • その他
  • その他の地域

第7章 企業プロファイル

  • Amazon Web Services, Inc.
  • Cisco Systems, Inc.
  • Clarifai, Inc.
  • Deep Mind Technologies Ltd.
  • Google, LLC
  • IBM Corp.
  • Intel Corp.
  • Luminoso Technologies, Inc.
  • Microsoft Corp.
  • Micron Technology, Inc.
  • Neurala, Inc.
  • NVIDIA Corp.
  • Qualcomm Technologies, Inc.
  • Samsung Electronics Co. Ltd.
  • Sensory, Inc.
  • Skymind, Inc.
  • Tempus Labs
  • Twosense, Inc.
  • Xilinx, Inc.
  • Zebra Medical Vision, Inc.
図表

List of Tables

  • 1. GLOBAL DEEP LEARNING TECHNOLOGY MARKET RESEARCH AND ANALYSIS BY APPLICATION, 2018-2025 ($ MILLION)
  • 2. GLOBAL DEEP LEARNING FOR DATA MINING MARKET RESEARCH AND ANALYSIS BY REGION, 2018-2025 ($ MILLION)
  • 3. GLOBAL DEEP LEARNING FOR IMAGE RECOGNITION MARKET RESEARCH AND ANALYSIS BY REGION, 2018-2025 ($ MILLION)
  • 4. GLOBAL DEEP LEARNING FOR SIGNAL RECOGNITION MARKET RESEARCH AND ANALYSIS BY REGION, 2018-2025 ($ MILLION)
  • 5. GLOBAL DEEP LEARNING FOR OTHER APPLICATIONS MARKET RESEARCH AND ANALYSIS BY REGION, 2018-2025 ($ MILLION)
  • 6. GLOBAL DEEP LEARNING TECHNOLOGY MARKET RESEARCH AND ANALYSIS BY END-USER, 2018-2025 ($ MILLION)
  • 7. GLOBAL DEEP LEARNING IN BFSI MARKET RESEARCH AND ANALYSIS BY REGION, 2018-2025 ($ MILLION)
  • 8. GLOBAL DEEP LEARNING IN MANUFACTURING MARKET RESEARCH AND ANALYSIS BY REGION, 2018-2025 ($ MILLION)
  • 9. GLOBAL DEEP LEARNING IN HEALTHCARE MARKET RESEARCH AND ANALYSIS BY REGION, 2018-2025 ($ MILLION)
  • 10. GLOBAL DEEP LEARNING IN AUTOMOTIVE MARKET RESEARCH AND ANALYSIS BY REGION, 2018-2025 ($ MILLION)
  • 11. GLOBAL DEEP LEARNING IN OTHER END-USERS MARKET RESEARCH AND ANALYSIS BY REGION, 2018-2025 ($ MILLION)
  • 12. GLOBAL DEEP LEARNING TECHNOLOGY MARKET RESEARCH AND ANALYSIS BY GEOGRAPHY, 2018-2025 ($ MILLION)
  • 13. NORTH AMERICAN DEEP LEARNING TECHNOLOGY MARKET RESEARCH AND ANALYSIS BY COUNTRY, 2018-2025 ($ MILLION)
  • 14. NORTH AMERICAN DEEP LEARNING TECHNOLOGY MARKET RESEARCH AND ANALYSIS BY APPLICATION, 2018-2025 ($ MILLION)
  • 15. NORTH AMERICAN DEEP LEARNING TECHNOLOGY MARKET RESEARCH AND ANALYSIS BY END-USER, 2018-2025 ($ MILLION)
  • 16. EUROPEAN DEEP LEARNING TECHNOLOGY MARKET RESEARCH AND ANALYSIS BY COUNTRY, 2018-2025 ($ MILLION)
  • 17. EUROPEAN DEEP LEARNING TECHNOLOGY MARKET RESEARCH AND ANALYSIS BY APPLICATION, 2018-2025 ($ MILLION)
  • 18. EUROPEAN DEEP LEARNING TECHNOLOGY MARKET RESEARCH AND ANALYSIS BY END-USER, 2018-2025 ($ MILLION)
  • 19. ASIA-PACIFIC DEEP LEARNING TECHNOLOGY MARKET RESEARCH AND ANALYSIS BY COUNTRY, 2018-2025 ($ MILLION)
  • 20. ASIA-PACIFIC DEEP LEARNING TECHNOLOGY MARKET RESEARCH AND ANALYSIS BY APPLICATION, 2018-2025 ($ MILLION)
  • 21. ASIA-PACIFIC DEEP LEARNING TECHNOLOGY MARKET RESEARCH AND ANALYSIS BY END-USER, 2018-2025 ($ MILLION)
  • 22. REST OF THE WORLD DEEP LEARNING TECHNOLOGY MARKET RESEARCH AND ANALYSIS BY APPLICATION, 2018-2025($ MILLION)
  • 23. REST OF THE WORLD DEEP LEARNING TECHNOLOGY MARKET RESEARCH AND ANALYSIS BY END-USER, 2018-2025($ MILLION)

List of Figures

  • 1. GLOBAL DEEP LEARNING TECHNOLOGY MARKET SHARE BY APPLICATION, 2018 VS 2025 (%)
  • 2. GLOBAL DEEP LEARNING TECHNOLOGY MARKET SHARE BY END-USER, 2018 VS 2025 (%)
  • 3. GLOBAL DEEP LEARNING TECHNOLOGY MARKET SHARE BY GEOGRAPHY, 2018 VS 2025 (%)
  • 4. US DEEP LEARNING TECHNOLOGY MARKET SIZE, 2018-2025 ($ MILLION)
  • 5. CANADA DEEP LEARNING TECHNOLOGY MARKET SIZE, 2018-2025 ($ MILLION)
  • 6. UK DEEP LEARNING TECHNOLOGY MARKET SIZE, 2018-2025 ($ MILLION)
  • 7. FRANCE DEEP LEARNING TECHNOLOGY MARKET SIZE, 2018-2025 ($ MILLION)
  • 8. GERMANY DEEP LEARNING TECHNOLOGY MARKET SIZE, 2018-2025 ($ MILLION)
  • 9. ITALY DEEP LEARNING TECHNOLOGY MARKET SIZE, 2018-2025 ($ MILLION)
  • 10. SPAIN DEEP LEARNING TECHNOLOGY MARKET SIZE, 2018-2025 ($ MILLION)
  • 11. ROE DEEP LEARNING TECHNOLOGY MARKET SIZE, 2018-2025 ($ MILLION)
  • 12. INDIA DEEP LEARNING TECHNOLOGY MARKET SIZE, 2018-2025 ($ MILLION)
  • 13. CHINA DEEP LEARNING TECHNOLOGY MARKET SIZE, 2018-2025 ($ MILLION)
  • 14. JAPAN DEEP LEARNING TECHNOLOGY MARKET SIZE, 2018-2025 ($ MILLION)
  • 15. REST OF ASIA-PACIFIC DEEP LEARNING TECHNOLOGY MARKET SIZE, 2018-2025 ($ MILLION)
  • 16. REST OF THE WORLD DEEP LEARNING TECHNOLOGY MARKET SIZE, 2018-2025 ($ MILLION)
目次
Product Code: OMR2019785

Title:
Global Deep Learning Technology
Market Size, Share & Trends Analysis Report by Application (Data Mining, Image Recognition, Signal Recognition, and Others), by End-User (BFSI, Manufacturing, Healthcare, Automotive, and Others) and Forecast, 2019 - 2025.

Deep learning technology is a set of programs and algorithms developed to recognize patterns such as numerical, vectors, images, sound, and text or time series. In deep learning technology, a computer machine is programmed in such a way to perform task or operations which can be performed by a human brain. The global deep learning technology market is expected to grow at a significant rate during the forecast period. the market growth is attributed to the increasing adoption of cloud-based technology, the use of deep learning in big data analytics, and growing penetration of Artificial Intelligence (AI) in customer-centric services. Moreover, India and China are rapidly emerging in the ICT industry, which as a result growing the adoption of deep learning platforms in the region.

The global deep learning technology market is segmented on the basis of application, end-user, and geography. On the basis of application, the market is segmented into data mining, image recognition, signal recognition, and others. Deep learning in for image recognition is expected to hold a considerable market share in the global deep learning technology market owing to increasing demand for pattern recognition, facial recognition, object recognition, optical character recognition, and digital image processing. Further, the scope of the global deep learning technology market includes various end-user industries such as BFSI, manufacturing, healthcare, automotive, and others.

Moreover, the geographical analysis of the global deep learning platform market covers four regions; North America, Europe, Asia-Pacific, and Rest of the World. Due to the rapid growth of the ICT industry, the adoption of advanced technology is increasing at a considerable rate in the Asia-Pacific region. Further, the study of the market includes analysis of several players operating in the market. Some of the major market players include Amazon Web Services, Inc., IBM Corp., Intel Corp., NVIDIA Corp., Sensory, Inc.¸ Microsoft Corp., Clarifai, Inc., Cisco Systems, Inc., and Qualcomm Technologies, Inc.

Research Methodology:

The market study of the global deep learning technology market is incorporated by extensive primary and secondary research conducted by a research team at OMR. Secondary research has been conducted to refine the available data to break down the market in various segments, derive total market size, market forecast, and growth rate. Different approaches have been worked on to derive the market value and market growth rate. Our team collects facts and data related to the market from different geography to provide a better regional outlook. In the report, the country-level analysis is provided by analyzing various regional players, regional tax laws and policies, consumer behavior and macroeconomic factors. Numbers extracted from Secondary research have been authenticated by conducting primary research. It includes tracking down key people from the industry and interviewing them to validate the data. This enables our analyst to derive the closest possible figures without any major deviations in the actual number. Our analysts try to contact as many executives, managers, key opinion leaders, and industry experts. Primary research brings the authenticity of our reports.

Secondary Sources Include:

  • Financial reports of companies involved in the market
  • Whitepapers, research-papers and news blogs
  • Company websites and their services.

The report is intended for deep learning solution providers, cloud service providers, manufacturers implementing AI technology, semiconductor companies, technology investors, BFSI organizations, software companies, research institutes, investment companies and venture capitalists, government organizations for overall market analysis and competitive analysis. The report will serve as a source for 360-degree analysis of the market thoroughly delivering insights into the market for better business decisions.

Market Segmentation:

  • 1. Global Deep Learning Technology Market Research and Analysis by Application
  • 2. Global Deep Learning Technology Market Research and Analysis by End-User

The Report Covers:

  • Comprehensive research methodology of the global deep learning technology market.
  • This report also includes a detailed and extensive market overview with key analyst insights.
  • An exhaustive analysis of macro and micro factors influencing the market guided by key recommendations.
  • Analysis of regional regulations and other government policies impacting the global deep learning technology market.
  • Insights about market determinants which are stimulating the global deep learning technology market.
  • Detailed and extensive market segments with regional distribution of forecast revenues.
  • Extensive profiles and recent developments of market players.

Table of Contents

1. Report Summary

  • 1.1. Research Methods and Tools
  • 1.2. Market Breakdown
    • 1.2.1. By Segments
    • 1.2.2. By Geography

2. Market Overview and Insights

  • 2.1. Scope of the Report
  • 2.2. Analyst Insight & Current Market Trends
    • 2.2.1. Key Findings
    • 2.2.2. Recommendations
    • 2.2.3. Conclusion
  • 2.3. Rules & Regulations

3. Competitive Landscape

  • 3.1. Company Share Analysis
  • 3.2. Key Strategy Analysis
  • 3.3. Key Company Analysis
    • 3.3.1. IBM Corp.
      • 3.3.1.1. Overview
      • 3.3.1.2. Financial Analysis
      • 3.3.1.3. SWOT Analysis
      • 3.3.1.4. Recent Developments
    • 3.3.2. Google, LLC
      • 3.3.2.1. Overview
      • 3.3.2.2. Financial Analysis
      • 3.3.2.3. SWOT Analysis
      • 3.3.2.4. Recent Developments
    • 3.3.3. Microsoft Corp.
      • 3.3.3.1. Overview
      • 3.3.3.2. Financial Analysis
      • 3.3.3.3. SWOT Analysis
      • 3.3.3.4. Recent Developments
    • 3.3.4. Intel Corp.
      • 3.3.4.1. Overview
      • 3.3.4.2. Financial Analysis
      • 3.3.4.3. SWOT Analysis
      • 3.3.4.4. Recent Developments
    • 3.3.5. Amazon Web Services, Inc.
      • 3.3.5.1. Overview
      • 3.3.5.2. Financial Analysis
      • 3.3.5.3. SWOT Analysis
      • 3.3.5.4. Recent Developments

4. Market Determinants

  • 4.1. Motivators
  • 4.2. Restraints
  • 4.3. Opportunities

5. Market Segmentation

  • 5.1. Global Deep Learning Technology Market by Application
    • 5.1.1. Data Mining
    • 5.1.2. Image Recognition
    • 5.1.3. Signal Recognition
    • 5.1.4. Others (Drug Discovery)
  • 5.2. Global Deep Learning Technology Market by End-User
    • 5.2.1. BFSI
    • 5.2.2. Manufacturing
    • 5.2.3. Healthcare
    • 5.2.4. Automotive
    • 5.2.5. Others (Aerospace and Defense, IT & Telecom)

6. Regional Analysis

  • 6.1. North America
    • 6.1.1. United States
    • 6.1.2. Canada
  • 6.2. Europe
    • 6.2.1. UK
    • 6.2.2. Germany
    • 6.2.3. Italy
    • 6.2.4. Spain
    • 6.2.5. France
    • 6.2.6. Rest of Europe
  • 6.3. Asia-Pacific
    • 6.3.1. China
    • 6.3.2. Japan
    • 6.3.3. India
    • 6.3.4. Rest of Asia-Pacific
  • 6.4. Rest of the World

7. Company Profiles

  • 7.1. Amazon Web Services, Inc.
  • 7.2. Cisco Systems, Inc.
  • 7.3. Clarifai, Inc.
  • 7.4. Deep Mind Technologies Ltd.
  • 7.5. Google, LLC
  • 7.6. IBM Corp.
  • 7.7. Intel Corp.
  • 7.8. Luminoso Technologies, Inc.
  • 7.9. Microsoft Corp.
  • 7.10. Micron Technology, Inc.
  • 7.11. Neurala, Inc.
  • 7.12. NVIDIA Corp.
  • 7.13. Qualcomm Technologies, Inc.
  • 7.14. Samsung Electronics Co. Ltd.
  • 7.15. Sensory, Inc.
  • 7.16. Skymind, Inc.
  • 7.17. Tempus Labs
  • 7.18. Twosense, Inc.
  • 7.19. Xilinx, Inc.
  • 7.20. Zebra Medical Vision, Inc.