Global Predictive Maintenance Market
Global Predictive Maintenance Market

Predictive Maintenance Comprehensive Study by Application (Aerospace and Defense, Energy and utilities, Government, Healthcare, Manufacturing, Transportation and logistics, Others) Players and Region - Global Market Outlook to 2023

Predictive Maintenance Market Segmented into XX Submarkets. | Forecast Years: 2018- 2023 | CAGR: 23.09%  

May 2019 Edition 202 Pages 216 Tables & Figures
  • Summary
  • Market Segments
  • Table of Content
  • List of Tables & Figures
  • Companies Mentioned
Predictive Maintenance Market Scope
Predictive maintenance, a technique to predict the future equipment failure of a machine component. To prevent the occurrence of the component failure by performing maintenance. Thus, equipment downtime is minimized and the component lifetime is maximized. Ideally, predictive maintenance allows the maintenance frequency to be as low as possible to prevent unplanned reactive maintenance, without incurring costs associated with doing too much preventive maintenance.

The market study is being classified, by Application (Aerospace and Defense, Energy and utilities, Government, Healthcare, Manufacturing, Transportation and logistics and Others) and major geographies with country level break-up. According to AMA, the Global Predictive Maintenance market is expected to see growth rate of 23.09% and may see market size of USD5.21 Billion by 2023.

Research Analyst at AMA predicts that United States Players will contribute to the maximum growth of Global Predictive Maintenance market throughout the predicted period.

IBM (United States), SAP SE (Germany), Software AG (Germany), General Electric (United States), Robert Bosch (Germany), PTC Inc. (United States), Rockwell Automation (United States), PTC (United States), SAS Institute (United States), T-Systems (Germany) and Warwick Analytics (United Kingdom) are some of the key players profiled in the study. Additionally, the Players which are also part of the research are Honeywell (United States), Dell (United States), RapidMiner (United States), Hitachi, Ltd. (Japan) and SKF (Sweden).

Segmentation Overview
AdvanceMarketAnalytics has segmented the market of Global Predictive Maintenance market by Type, Application and Region.

On the basis of geography, the market of Predictive Maintenance has been segmented into South America (Brazil, Argentina, Rest of South America), Asia Pacific (China, Japan, India, South Korea, Taiwan, Australia, Rest of Asia-Pacific), Europe (Germany, France, Italy, United Kingdom, Netherlands, Rest of Europe), MEA (Middle East, Africa), North America (United States, Canada, Mexico).




Market Trend
  • Rapid Deployment of Big Data and IoT Technology

Market Drivers
  • Reduction in Operation & Maintenance Costs and Asset Downtime
  • Increasing Demand for Transforming Maintenance
  • Helps in Decision-Making and Increasing Operational Efficiency

Opportunities
  • Increasing Demand for Real-Time Streaming Analytics
  • Surging Demand From Small and Medium Enterprises in both Developed and Developing Economies

Restraints
  • Lack of Proper Training in Developing Countries
  • Lack of Trust in Predictive Maintenance Technologies

Challenges
  • Predictive Maintenance May Not Be Considered as an Integral Part of the Overall Maintenance Process
  • Adequate and Structured Data Collection


Key Target Audience
Predictive Maintenance Vendors, System Integrator, Consulting Firms, Resellers and Distributors, Technology Partners and Others

Customization available in this Study:
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Report Objectives / Segmentation Covered
By Application
  • Aerospace and Defense
  • Energy and utilities
  • Government
  • Healthcare
  • Manufacturing
  • Transportation and logistics
  • Others
By Regions
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Taiwan
    • Australia
    • Rest of Asia-Pacific
  • Europe
    • Germany
    • France
    • Italy
    • United Kingdom
    • Netherlands
    • Rest of Europe
  • MEA
    • Middle East
    • Africa
  • North America
    • United States
    • Canada
    • Mexico
  • 1. Market Overview
    • 1.1. Introduction
    • 1.2. Scope/Objective of the Study
      • 1.2.1. Research Objective
  • 2. Executive Summary
    • 2.1. Introduction
  • 3. Market Dynamics
    • 3.1. Introduction
    • 3.2. Market Drivers
      • 3.2.1. Reduction in Operation & Maintenance Costs and Asset Downtime
      • 3.2.2. Increasing Demand for Transforming Maintenance
      • 3.2.3. Helps in Decision-Making and Increasing Operational Efficiency
    • 3.3. Market Challenges
      • 3.3.1. Predictive Maintenance May Not Be Considered as an Integral Part of the Overall Maintenance Process
      • 3.3.2. Adequate and Structured Data Collection
    • 3.4. Market Trends
      • 3.4.1. Rapid Deployment of Big Data and IoT Technology
  • 4. Market Factor Analysis
    • 4.1. Porters Five Forces
    • 4.2. Supply/Value Chain
    • 4.3. PESTEL analysis
  • 5. Global Predictive Maintenance, by Application and Region (value and price ) (2012-2017)
    • 5.1. Introduction
    • 5.2. Global Predictive Maintenance (Price)
  • 6. Predictive Maintenance: Manufacturers/Players Analysis
    • 6.1. Company Profile
      • 6.1.1. IBM (United States)
        • 6.1.1.1. Business Overview
        • 6.1.1.2. Products/Services Offerings
        • 6.1.1.3. Financial Analysis
        • 6.1.1.4. SWOT Analysis
      • 6.1.2. SAP SE (Germany)
        • 6.1.2.1. Business Overview
        • 6.1.2.2. Products/Services Offerings
        • 6.1.2.3. Financial Analysis
        • 6.1.2.4. SWOT Analysis
      • 6.1.3. Software AG (Germany)
        • 6.1.3.1. Business Overview
        • 6.1.3.2. Products/Services Offerings
        • 6.1.3.3. Financial Analysis
        • 6.1.3.4. SWOT Analysis
      • 6.1.4. General Electric (United States)
        • 6.1.4.1. Business Overview
        • 6.1.4.2. Products/Services Offerings
        • 6.1.4.3. Financial Analysis
        • 6.1.4.4. SWOT Analysis
      • 6.1.5. Robert Bosch (Germany)
        • 6.1.5.1. Business Overview
        • 6.1.5.2. Products/Services Offerings
        • 6.1.5.3. Financial Analysis
        • 6.1.5.4. SWOT Analysis
      • 6.1.6. PTC Inc. (United States)
        • 6.1.6.1. Business Overview
        • 6.1.6.2. Products/Services Offerings
        • 6.1.6.3. Financial Analysis
        • 6.1.6.4. SWOT Analysis
      • 6.1.7. Rockwell Automation (United States)
        • 6.1.7.1. Business Overview
        • 6.1.7.2. Products/Services Offerings
        • 6.1.7.3. Financial Analysis
        • 6.1.7.4. SWOT Analysis
      • 6.1.8. PTC (United States)
        • 6.1.8.1. Business Overview
        • 6.1.8.2. Products/Services Offerings
        • 6.1.8.3. Financial Analysis
        • 6.1.8.4. SWOT Analysis
      • 6.1.9. SAS Institute (United States)
        • 6.1.9.1. Business Overview
        • 6.1.9.2. Products/Services Offerings
        • 6.1.9.3. Financial Analysis
        • 6.1.9.4. SWOT Analysis
      • 6.1.10. T-Systems (Germany)
        • 6.1.10.1. Business Overview
        • 6.1.10.2. Products/Services Offerings
        • 6.1.10.3. Financial Analysis
        • 6.1.10.4. SWOT Analysis
      • 6.1.11. Warwick Analytics (United Kingdom)
        • 6.1.11.1. Business Overview
        • 6.1.11.2. Products/Services Offerings
        • 6.1.11.3. Financial Analysis
        • 6.1.11.4. SWOT Analysis
  • 7. Global Predictive Maintenance Sale, by Application and Region (value and price ) (2018-2023)
    • 7.1. Introduction
    • 7.2. Global Predictive Maintenance (Price)
  • 8. Appendix
    • 8.1. Acronyms
  • 9. Methodology and Data Source
    • 9.1. Methodology/Research Approach
      • 9.1.1. Research Programs/Design
      • 9.1.2. Market Size Estimation
      • 9.1.3. Market Breakdown and Data Triangulation
    • 9.2. Data Source
      • 9.2.1. Secondary Sources
      • 9.2.2. Primary Sources
    • 9.3. Disclaimer
List of Tables
  • Table 1. Company Basic Information, Sales Area and Its Competitors
  • Table 2. Company Basic Information, Sales Area and Its Competitors
  • Table 3. Company Basic Information, Sales Area and Its Competitors
  • Table 4. Company Basic Information, Sales Area and Its Competitors
  • Table 5. Company Basic Information, Sales Area and Its Competitors
  • Table 6. Company Basic Information, Sales Area and Its Competitors
  • Table 7. Company Basic Information, Sales Area and Its Competitors
  • Table 8. Company Basic Information, Sales Area and Its Competitors
  • Table 9. Company Basic Information, Sales Area and Its Competitors
  • Table 10. Company Basic Information, Sales Area and Its Competitors
  • Table 11. Company Basic Information, Sales Area and Its Competitors
  • Table 12. Research Programs/Design for This Report
  • Table 13. Key Data Information from Secondary Sources
  • Table 14. Key Data Information from Primary Sources
List of Figures
  • Figure 1. Porters Five Forces
  • Figure 2. Supply/Value Chain
  • Figure 3. PESTEL analysis
  • Figure 4. IBM (United States) Revenue, Net Income and Gross profit
  • Figure 5. IBM (United States) Revenue: by Geography 2017
  • Figure 6. SAP SE (Germany) Revenue, Net Income and Gross profit
  • Figure 7. SAP SE (Germany) Revenue: by Geography 2017
  • Figure 8. Software AG (Germany) Revenue, Net Income and Gross profit
  • Figure 9. Software AG (Germany) Revenue: by Geography 2017
  • Figure 10. General Electric (United States) Revenue, Net Income and Gross profit
  • Figure 11. General Electric (United States) Revenue: by Geography 2017
  • Figure 12. Robert Bosch (Germany) Revenue, Net Income and Gross profit
  • Figure 13. Robert Bosch (Germany) Revenue: by Geography 2017
  • Figure 14. PTC Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 15. PTC Inc. (United States) Revenue: by Geography 2017
  • Figure 16. Rockwell Automation (United States) Revenue, Net Income and Gross profit
  • Figure 17. Rockwell Automation (United States) Revenue: by Geography 2017
  • Figure 18. PTC (United States) Revenue, Net Income and Gross profit
  • Figure 19. PTC (United States) Revenue: by Geography 2017
  • Figure 20. SAS Institute (United States) Revenue, Net Income and Gross profit
  • Figure 21. SAS Institute (United States) Revenue: by Geography 2017
  • Figure 22. T-Systems (Germany) Revenue, Net Income and Gross profit
  • Figure 23. T-Systems (Germany) Revenue: by Geography 2017
  • Figure 24. Warwick Analytics (United Kingdom) Revenue, Net Income and Gross profit
  • Figure 25. Warwick Analytics (United Kingdom) Revenue: by Geography 2017
Some of the key companies/manufacturers profiled in the report
  • IBM (United States)
  • SAP SE (Germany)
  • Software AG (Germany)
  • General Electric (United States)
  • Robert Bosch (Germany)
  • PTC Inc. (United States)
  • Rockwell Automation (United States)
  • PTC (United States)
  • SAS Institute (United States)
  • T-Systems (Germany)
  • Warwick Analytics (United Kingdom)
Additional players considered in the study are as follows:
Honeywell (United States) , Dell (United States) , RapidMiner (United States) , Hitachi, Ltd. (Japan) , SKF (Sweden)
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