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市場調査レポート

運用予知保全の世界市場の分析と予測

Global Operational Predictive Maintenance Market Forecast, 2019-2025

発行 Orion Market Research Pvt Ltd 商品コード 839595
出版日 ページ情報 英文
納期: 2-3営業日
価格
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運用予知保全の世界市場の分析と予測 Global Operational Predictive Maintenance Market Forecast, 2019-2025
出版日: 2019年05月09日 ページ情報: 英文
概要

当レポートでは、世界の運用予知保全市場について調査分析し、市場概要、市場決定要因、市場区分、競合情勢、地域別分析、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 レポートサマリー

第2章 市場概要と考察

  • 調査範囲
  • アナリストの考察と現在の市場動向
  • 規則と規制

第3章 競合情勢

  • 競合ダッシュボード
  • 主要戦略分析
  • 主要企業分析
    • IBM Corp.
    • SAP SE
    • Microsoft Corp.
    • General Electric Co.
    • Siemens AG

第4章 市場決定要因

  • 促進要因
  • 抑制要因
  • 機会

第5章 市場区分

  • 展開モード別
  • 用途別

第6章 地域別分析

  • 北米
  • 欧州
  • アジア太平洋地域
  • その他

第7章 企業プロファイル

  • ABB Asea Brown Boveri Ltd.
  • Accenture PLC
  • Advanced Technology Services, Inc.
  • Altizon Systems Pvt. Ltd.
  • Augury Inc.
  • Bentley Systems, Inc.
  • Cisco Systems, Inc.
  • Eaton Corp.
  • Embitel Technologies India Pvt. Ltd.
  • General Electric Co.
  • 日立製作所
  • Huawei Technologies Co., Ltd.
  • IBM Corp.
  • Intel Corp.
  • Microsoft Corp.
  • PTC Inc.
  • Robert Bosch GmbH
  • Rockwell Automation, Inc.
  • SAP SE
  • SAS Institute Inc.
  • Schneider Electric SE
  • Senseye Ltd
  • Siemens AG
  • Software AG
  • Splunk Inc.
図表

List of Tables

  • 1. GLOBAL OPERATIONAL PREDICTIVE MAINTENANCE MARKET RESEARCH AND ANALYSIS BY DEPLOYMENT MODEL, 2018-2025 ($ MILLION)
  • 2. GLOBAL ON-PREMISES MODEL OF OPERATIONAL PREDICTIVE MAINTENANCE MARKET RESEARCH AND ANALYSIS BY REGION, 2018-2025($ MILLION)
  • 3. GLOBAL CLOUD-BASED MODEL OF OPERATIONAL PREDICTIVE MAINTENANCE MARKET RESEARCH AND ANALYSIS BY REGION, 2018-2025($ MILLION)
  • 4. GLOBAL OPERATIONAL PREDICTIVE MAINTENANCE MARKET RESEARCH AND ANALYSIS BY APPLICATION, 2018-2025 ($ MILLION)
  • 5. GLOBAL OPERATIONAL PREDICTIVE MAINTENANCE IN MANUFACTURING MARKET RESEARCH AND ANALYSIS BY REGION, 2018-2025($ MILLION)
  • 6. GLOBAL OPERATIONAL PREDICTIVE MAINTENANCE IN ENERGY & UTILITIES MARKET RESEARCH AND ANALYSIS BY REGION, 2018-2025($ MILLION)
  • 7. GLOBAL OPERATIONAL PREDICTIVE MAINTENANCE IN TRANSPORTATION MARKET RESEARCH AND ANALYSIS BY REGION, 2018-2025 ($ MILLION)
  • 8. GLOBAL OPERATIONAL PREDICTIVE MAINTENANCE IN OTHER APPLICATIONS MARKET RESEARCH AND ANALYSIS BY REGION, 2018-2025 ($ MILLION)
  • 9. GLOBAL OPERATIONAL PREDICTIVE MAINTENANCE MARKET RESEARCH AND ANALYSIS BY GEOGRAPHY, 2018-2025 ($ MILLION)
  • 10. NORTH AMERICAN OPERATIONAL PREDICTIVE MAINTENANCE MARKET RESEARCH AND ANALYSIS BY COUNTRY, 2018-2025 ($ MILLION)
  • 11. NORTH AMERICAN OPERATIONAL PREDICTIVE MAINTENANCE MARKET RESEARCH AND ANALYSIS BY DEPLOYMENT MODEL, 2018-2025 ($ MILLION)
  • 12. NORTH AMERICAN OPERATIONAL PREDICTIVE MAINTENANCE MARKET RESEARCH AND ANALYSIS BY APPLICATION, 2018-2025 ($ MILLION)
  • 13. EUROPEAN OPERATIONAL PREDICTIVE MAINTENANCE MARKET RESEARCH AND ANALYSIS BY COUNTRY, 2018-2025 ($ MILLION)
  • 14. EUROPEAN OPERATIONAL PREDICTIVE MAINTENANCE MARKET RESEARCH AND ANALYSIS BY DEPLOYMENT MODEL, 2018-2025 ($ MILLION)
  • 15. EUROPEAN OPERATIONAL PREDICTIVE MAINTENANCE MARKET RESEARCH AND ANALYSIS BY APPLICATION, 2018-2025 ($ MILLION)
  • 16. ASIA-PACIFIC OPERATIONAL PREDICTIVE MAINTENANCE MARKET RESEARCH AND ANALYSIS BY COUNTRY, 2018-2025 ($ MILLION)
  • 17. ASIA-PACIFIC OPERATIONAL PREDICTIVE MAINTENANCE MARKET RESEARCH AND ANALYSIS BY DEPLOYMENT MODEL, 2018-2025 ($ MILLION)
  • 18. ASIA-PACIFIC OPERATIONAL PREDICTIVE MAINTENANCE MARKET RESEARCH AND ANALYSIS BY APPLICATION, 2018-2025 ($ MILLION)
  • 19. REST OF THE WORLD OPERATIONAL PREDICTIVE MAINTENANCE MARKET RESEARCH AND ANALYSIS BY DEPLOYMENT MODEL, 2018-2025($ MILLION)
  • 20. REST OF THE WORLD OPERATIONAL PREDICTIVE MAINTENANCE MARKET RESEARCH AND ANALYSIS BY APPLICATION, 2018-2025($ MILLION)

List of Figures

  • 1. GLOBAL OPERATIONAL PREDICTIVE MAINTENANCE MARKET SHARE BY DEPLOYMENT MODEL, 2018 VS 2025 (%)
  • 2. GLOBAL OPERATIONAL PREDICTIVE MAINTENANCE MARKET SHARE BY APPLICATION, 2018 VS 2025 (%)
  • 3. GLOBAL OPERATIONAL PREDICTIVE MAINTENANCE MARKET SHARE BY GEOGRAPHY, 2018 VS 2025 (%)
  • 4. US OPERATIONAL PREDICTIVE MAINTENANCE MARKET SIZE, 2018-2025 ($ MILLION)
  • 5. CANADA OPERATIONAL PREDICTIVE MAINTENANCE MARKET SIZE, 2018-2025 ($ MILLION)
  • 6. UK OPERATIONAL PREDICTIVE MAINTENANCE MARKET SIZE, 2018-2025 ($ MILLION)
  • 7. FRANCE OPERATIONAL PREDICTIVE MAINTENANCE MARKET SIZE, 2018-2025 ($ MILLION)
  • 8. GERMANY OPERATIONAL PREDICTIVE MAINTENANCE MARKET SIZE, 2018-2025 ($ MILLION)
  • 9. ITALY OPERATIONAL PREDICTIVE MAINTENANCE MARKET SIZE, 2018-2025 ($ MILLION)
  • 10. SPAIN OPERATIONAL PREDICTIVE MAINTENANCE MARKET SIZE, 2018-2025 ($ MILLION)
  • 11. ROE OPERATIONAL PREDICTIVE MAINTENANCE MARKET SIZE, 2018-2025 ($ MILLION)
  • 12. INDIA OPERATIONAL PREDICTIVE MAINTENANCE MARKET SIZE, 2018-2025 ($ MILLION)
  • 13. CHINA OPERATIONAL PREDICTIVE MAINTENANCE MARKET SIZE, 2018-2025 ($ MILLION)
  • 14. JAPAN OPERATIONAL PREDICTIVE MAINTENANCE MARKET SIZE, 2018-2025 ($ MILLION)
  • 15. REST OF ASIA-PACIFIC OPERATIONAL PREDICTIVE MAINTENANCE MARKET SIZE, 2018-2025 ($ MILLION)
  • 16. REST OF THE WORLD OPERATIONAL PREDICTIVE MAINTENANCE MARKET SIZE, 2018-2025 ($ MILLION)
目次
Product Code: OMR2019661

Global Operational Predictive Maintenance Market Size, Share & Trends Analysis Report by Deployment Model (On-Premises and Cloud-based), and by Application (Manufacturing, Energy & Utilities, Transportation, and Others) and Forecast, 2019 - 2025

Operational predictive maintenance is referred to asset management practice of maintaining an asset before it fails on the basis of data received regarding it. The solution improves productivity, avoids downtime, and reduces the operational cost. It further assists the organizations in optimizing supply chain and operation management of products. The software can determine the condition of in-service components and equipment, in order to foresee the time for required maintenance.

Increasing demand for real-time streaming analytics from small and middle enterprises (SMEs) and a rapid transition towards cloud-based predictive maintenance solutions is significantly fueling the market growth. Moreover, the rising integration of advanced technologies such as big data, deep learning, and IoT in the maintenance software in organizations is anticipated to propel the market growth in the near future. Though, the aforementioned technologies have major implications in the developed economies of North America and Europe. However, the rising industrialization in emerging economies of Asia-Pacific is expected to adopt these technologies in the near future.

The global operational predictive maintenance market is further analyzed on the basis of geographical regions, including North America, Europe, Asia-Pacific, and Rest of the World. North America contributed a prominent share in the global operational predictive maintenance market in 2018, owing to the significant penetration of Industry 4.0 in the region. Moreover, the region is regarded as the major adopter of advanced technologies in their industrial sector, which in turn, is a major factor for the burgeoning adoption of these solutions and services in the region. Asia-Pacific is projected to witness the fastest growth rate, in terms of revenue in the global operational predictive maintenance market during the forecast period. This is attributed to growing government spending to improve hospitals and other healthcare facilities in China and India is marking a growth factor for the Asia-Pacific operational predictive maintenance market.

The players operating in the global operational predictive maintenance market include Accenture PLC, Cisco Systems, Inc., General Electric Co., Hitachi Consulting Corp., IBM Corp., Intel Corp., Microsoft Corp., SAP SE, SAS Institute Inc., Siemens AG, and Schneider Electric SE. The companies are focused on the development of innovative products for operational predictive maintenance market to stay competitive in the global market. Geographical expansion, merger & acquisition, partnerships & collaborations, finding a new market or innovate in their core competency in order to expand individual market share are some of the key strategies adopted by major market players.

Research Methodology

The market study of the global operational predictive maintenance market is incorporated by extensive primary and secondary research conducted by a research team. 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 proper 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 product catalog

The report is intended for ICT companies, investment companies, 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 Operational Predictive Maintenance Market Research and Analysis by Deployment Model
  • 2. Global Operational Predictive Maintenance Market Research and Analysis by Application

The Report Covers:

  • Comprehensive research methodology of the global operational predictive maintenance market.
  • This report 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 operational predictive maintenance market.
  • Insights about market determinants which are stimulating the global operational predictive maintenance 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
    • 1.2.3. By Stakeholders

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. Competitive Dashboard
  • 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. SAP SE
      • 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. General Electric Co.
      • 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. Siemens AG
      • 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 Operational Predictive Maintenance Market by Deployment Model
    • 5.1.1. On-premises
    • 5.1.2. Cloud-based
  • 5.2. Global Operational Predictive Maintenance Market by Application
    • 5.2.1. Government
    • 5.2.2. Manufacturing
    • 5.2.3. Energy & Utilities
    • 5.2.4. Transportation and Logistics
    • 5.2.5. Others (Healthcare, Aerospace and defense)

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. ABB Asea Brown Boveri Ltd.
  • 7.2. Accenture PLC
  • 7.3. Advanced Technology Services, Inc.
  • 7.4. Altizon Systems Pvt. Ltd.
  • 7.5. Augury Inc.
  • 7.6. Bentley Systems, Inc.
  • 7.7. Cisco Systems, Inc.
  • 7.8. Eaton Corp.
  • 7.9. Embitel Technologies India Pvt. Ltd.
  • 7.10. General Electric Co.
  • 7.11. Hitachi Ltd.
  • 7.12. Huawei Technologies Co., Ltd.
  • 7.13. IBM Corp.
  • 7.14. Intel Corp.
  • 7.15. Microsoft Corp.
  • 7.16. PTC Inc.
  • 7.17. Robert Bosch GmbH
  • 7.18. Rockwell Automation, Inc.
  • 7.19. SAP SE
  • 7.20. SAS Institute Inc.
  • 7.21. Schneider Electric SE
  • 7.22. Senseye Ltd
  • 7.23. Siemens AG
  • 7.24. Software AG
  • 7.25. Splunk Inc.
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