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市場調查報告書

工業應用中的數據管理

Data Management in Industrial Applications

出版商 ABI Research 商品編碼 935837
出版日期 內容資訊 英文
商品交期: 最快1-2個工作天內
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工業應用中的數據管理 Data Management in Industrial Applications
出版日期: 2020年05月12日內容資訊: 英文
簡介

本報告要求對數據價值鏈的5年預測進行業務改進,包括從終端收集數據,數據清洗和分析,現場和會議室的可視化,22家大型和小型公司資料以及數據分析。它涵蓋了其他行業公司的動向。

■實際利益
  • 根據其他行業的案例,為可在現場使用的數據分析創建思路
  • 選擇用於收集重要數據和進行分析的實施模型
  • 創建用於項目實施的供應商清單

    ■對本文檔中提出的問題的答案
    • 機器學習不僅提供報告,還提供處方和建議以及AI支持的軟件引入速度
    • 旨在通過投資於數據管理和分析實現目標的公司的成果 供應商,系統集成商和製造商在設計項目時應注意的要素

      ■內容

      第1章摘要:基於數據的決策

      第2章對供應商的建議

      第3章IoT數據分析價值鏈

      第4章市場趨勢
      • 激活器
      • 抑製器

        第五章市場開發
        • 西門子與LG電子簽署諒解備忘錄
        • Microsoft與主要製造商之間的持續合作
        • Microsoft和5G
        • 寶馬認為區塊鏈可以改善供應鏈
        • 博世AI道德規範

          第6章案例研究
          • 汽車行業
          • 消費類電子產品
          • 航空
          • 日用品
          • 製藥
          • 化學
          • 採礦
          • 石油和天然氣

            第7章市場預測

            第8章供應商資料
            • Altair
            • AWS
            • AspenTech
            • Microsoft Azure物聯網
            • 光明之狼
            • 穿越機
            • 達夫拉
            • 部署解決方案
            • EdgeIQ
            • 本徵創新
            • FogHorn
            • Guavus
            • 工業軟件解決方案
            • InfinityQS
            • InVMA
            • PTC(ThingWorx)
            • 相對論
            • 西門子(MindSphere)
            • Seeq
            • Senseye
            • SkyFoundry
            • 美國固件

目錄
Product Code: AN-5116

Actionable Benefits:

  • Generate ideas for data analytics projects on the factory floor based on use cases in different industries.
  • Select a deployment model to collect sensitive data and perform analytics.
  • Create a short list of suppliers to approach directly or partner with in order to deliver the project.

Critical Questions Answered:

  • The pace of adoption of software, underpinned by machine learning and AI, that provides prescriptions and recommendations rather than simply reporting issues.
  • The outcomes different types of firms looking to achieve from investing in data management and analytics.
  • The considerations that suppliers, system integrators and manufacturers need to factor in when designing projects.

Research Highlights:

  • Five-year forecast covering the data value chain, from collecting data from devices, data cleaning and analysis, and visualizing it on the factory floor or boardroom.
  • 22 company profiles across the whole spectrum from industry titans to those serving a niche.
  • How key companies in several different verticals are looking to data analytics to improve their operations.

Who Should Read This?

  • Vendor marketing teams looking to understand factors shaping the market and manufacturers' objectives.
  • System integrators looking to understand spending trends and to identify potential partners.
  • OEM hardware suppliers to identify firms who could assist with their servitization strategies.

Companies Mentioned:

  • Altair
  • AspenTech
  • AWS
  • BASF
  • Ben & Jerrys
  • BMW
  • Bosch
  • Bright Wolf
  • ConocoPhillips
  • Crosser
  • Davra
  • Dploy Solutions
  • EdgeIQ
  • Eigen Innovations
  • FogHorn
  • Foxconn
  • Guavus
  • Industrial Software Solutions
  • InfinityQS
  • InVMA
  • Komatsu Mining
  • LG Electronics
  • Merck
  • Micro Technologies
  • Microsoft
  • Newcastle Mining
  • P&G
  • POSCO
  • PTC
  • Relimetrics
  • Rio Tinto
  • Saudi Aramco
  • Seeq Corporation
  • Senseye
  • Shell
  • Siemens
  • SkyFoundry
  • Total
  • USA Firmware
  • VW

TABLE OF CONTENTS

1. EXECUTIVE SUMMARY: DATA BASED DECISIONS ON THE FACTORY FLOOR

2. RECOMMENDATIONS FOR SUPPLIERS

3. THE IOT DATA ANALYTICS VALUE CHAIN

4. MARKET TRENDS

  • 4.1. Drivers
  • 4.2. Inhibitors

5. MARKET DEVELOPMENTS

  • 5.1. Siemens and LG Electronics Sign an MOU
  • 5.2. Collaboration between Microsoft and Major Manufacturers Continues
  • 5.3. Microsoft Makes 5G Play
  • 5.4. BMW Looking to Blockchain to Improve Its Supply Chain
  • 5.5. Bosch's AI Code of Ethics

6. CASE STUDIES

  • 6.1. Automotive Industry
  • 6.2. Consumer Electronics
  • 6.3. Aviation
  • 6.4. Fast Moving Consumer Goods
  • 6.5. Pharmaceuticals
  • 6.6. Steel
  • 6.7. Chemicals
  • 6.8. MINING
  • 6.9. Oil & Gas

7. MARKET FORECASTS

8. SUPPLIER PROFILES

  • 8.1. Altair
  • 8.2. AWS
  • 8.3. AspenTech
  • 8.4. Microsoft Azure IoT
  • 8.5. Bright Wolf
  • 8.6. Crosser
  • 8.7. Davra
  • 8.8. Dploy Solutions
  • 8.9. EdgeIQ
  • 8.10. Eigen Innovations
  • 8.11. FogHorn
  • 8.12. Guavus
  • 8.13. Industrial Software Solutions
  • 8.14. InfinityQS
  • 8.15. InVMA
  • 8.16. PTC (ThingWorx)
  • 8.17. Relimetrics
  • 8.18. Siemens (MindSphere)
  • 8.19. Seeq
  • 8.20. Senseye
  • 8.21. SkyFoundry
  • 8.22. USA Firmware