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 2027

Predictive Maintenance Market by XX Submarkets | Forecast Years 2022-2027 | CAGR: 23.09%  

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  • Summary
  • Market Segments
  • Table of Content
  • List of Table & Figures
  • Players Profiled
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.

According to AMA, the Global Predictive Maintenance market is expected to see growth rate of 23.09%

Research Analyst at AMA estimates 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 that are part of study coverage. 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
The study have segmented the market of Global Predictive Maintenance market , by Application (Aerospace and Defense, Energy and utilities, Government, Healthcare, Manufacturing, Transportation and logistics and Others) and Region with country level break-up.

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).

Influencing Trend:
Rapid Deployment of Big Data and IoT Technology

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

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

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

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




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

About Approach
The research aims to propose a patent-based approach in searching for potential technology partners as a supporting tool for enabling open innovation. The study also proposes a systematic searching process of technology partners as a
preliminary step to select the emerging and key players that are involved in implementing market estimations. While patent analysis is employed to overcome the aforementioned data- and process-related limitations, as expenses occurred in that technology allows us to estimate the market size by evolving segments as target market from the total available market.

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) (2016-2021)
    • 5.1. Introduction
  • 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) (2022-2027)
    • 7.1. Introduction
  • 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 2021
  • Figure 6. SAP SE (Germany) Revenue, Net Income and Gross profit
  • Figure 7. SAP SE (Germany) Revenue: by Geography 2021
  • Figure 8. Software AG (Germany) Revenue, Net Income and Gross profit
  • Figure 9. Software AG (Germany) Revenue: by Geography 2021
  • Figure 10. General Electric (United States) Revenue, Net Income and Gross profit
  • Figure 11. General Electric (United States) Revenue: by Geography 2021
  • Figure 12. Robert Bosch (Germany) Revenue, Net Income and Gross profit
  • Figure 13. Robert Bosch (Germany) Revenue: by Geography 2021
  • Figure 14. PTC Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 15. PTC Inc. (United States) Revenue: by Geography 2021
  • Figure 16. Rockwell Automation (United States) Revenue, Net Income and Gross profit
  • Figure 17. Rockwell Automation (United States) Revenue: by Geography 2021
  • Figure 18. PTC (United States) Revenue, Net Income and Gross profit
  • Figure 19. PTC (United States) Revenue: by Geography 2021
  • Figure 20. SAS Institute (United States) Revenue, Net Income and Gross profit
  • Figure 21. SAS Institute (United States) Revenue: by Geography 2021
  • Figure 22. T-Systems (Germany) Revenue, Net Income and Gross profit
  • Figure 23. T-Systems (Germany) Revenue: by Geography 2021
  • Figure 24. Warwick Analytics (United Kingdom) Revenue, Net Income and Gross profit
  • Figure 25. Warwick Analytics (United Kingdom) Revenue: by Geography 2021
List of companies from research coverage that are profiled in the study
  • 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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Key Highlights of Report


Jan 2023 202 Pages 67 Tables Base Year: 2021 Coverage: 15+ Companies; 18 Countries

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Frequently Asked Questions (FAQ):

The Predictive Maintenance study can be customized to meet your requirements. The market size breakdown by type, by end-use application.
The Predictive Maintenance Market is gaining popularity and expected to see strong valuation by 2027 and may reach USD 5.21 Billion .
According to AMA, the Global Predictive Maintenance market is expected to see growth rate of xx%.
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