Global Operational Predictive Maintenance

Operational Predictive Maintenance Comprehensive Study by Type (Software, Services), Application (Public Sector, Automotive, Manufacturing, Healthcare, Energy & Utility, Transportation), Deployment Mode (On-premise, Cloud-Based), Enterprise Size (Large Enterprises, Small and Medium-sized Enterprises (SMEs)) Players and Region - Global Market Outlook to 2028

Operational Predictive Maintenance Market by XX Submarkets | Forecast Years 2023-2028  

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  • Summary
  • Market Segments
  • Table of Content
  • List of Table & Figures
  • Players Profiled
Industry Background:
Operational Predictive maintenance is a technique that uses data analysis tools and techniques to detect anomalies in your operation and possible defects in equipment and processes so you can fix them before they result in failure. Predictive maintenance (PdM) uses data analysis to identify operational anomalies and potential equipment defects, enabling timely repairs before failures occur. It aims to minimize maintenance frequency, avoiding unplanned outages and unnecessary preventive maintenance costs. A maintenance manager and maintenance team use predictive maintenance tools and asset management systems to monitor impending equipment failure and maintenance tasks.

AttributesDetails
Study Period2018-2028
Base Year2022
UnitValue (USD Million)
Key Companies ProfiledIBM Corporation (United States), Software AG (Germany), PTC (United States), General Electric (United States), Robert Bosch (Germany), Rockwell Automation (United States), Schneider Electric (France), eMaint (United States), Microsoft (United States) and SAP (Germany)


This growth is primarily driven by Increase In The Adoption Of the Internet of Things (IoT) Devices and Growing Need to Reduce Maintenance Cost and Downtime.

Globally, a noticeable market trend is evident Rising Use Of Cloud-Based Industrial Maintenance Management Software Major Players, such as IBM Corporation (United States), Software AG (Germany), PTC (United States), General Electric (United States), Robert Bosch (Germany), Rockwell Automation (United States), Schneider Electric (France), eMaint (United States), Microsoft (United States) and SAP (Germany), etc have either set up their manufacturing facilities or are planning to start new provision in the dominated region in the upcoming years. The companies are exploring the market by adopting mergers & acquisitions, expansions, investments, new service launches, and collaborations as their preferred strategies. The players are exploring new geographies through expansions and acquisitions to avail a competitive advantage through combined synergies.

Key Developments in the Market:
In November 2023, Bosch partnered with PTC to integrate Bosch's industrial IoT sensor technology with PTC's ThingWorx platform, enabling seamless data collection and predictive maintenance insights for connected factories.
In October 2023, GE Digital launched "Predix APM Suite 4.0," featuring advanced anomaly detection algorithms, automated root cause analysis, and improved integration with industrial IoT platforms.

Influencing Trend:
Rising Use Of Cloud-Based Industrial Maintenance Management Software

Market Growth Drivers:
Increase In The Adoption Of the Internet of Things (IoT) Devices and Growing Need to Reduce Maintenance Cost and Downtime

Challenges:
Lack Of Technological Knowledge

Restraints:
Availability of Freeware Alternative Solutions

Opportunities:
COVID-19 Pandemic Increasing the Need for Remote Monitoring and Management of Assets and Business Processes

AMA Research follows a focused and realistic research framework that provides the ability to study the crucial market dynamics in several regions across the world. Moreover, an in-depth assessment is mostly conducted by our analysts on geographical regions to provide clients and businesses the opportunity to dominate in niche markets and expand in emerging markets across the globe. This market research study also showcases the spontaneously changing Players landscape impacting the growth of the market. Furthermore, our market researchers extensively analyze the products and services offered by multiple players competing to increase their market share and presence.

Customization in the Report
AMA Research features not only specific market forecasts but also includes significant value-added commentary on:
- Market Trends
- Technological Trends and Innovations
- Market Maturity Indicators
- Growth Drivers and Constraints in Operational Predictive Maintenance Market
- Analysis about New Entrants in Operational Predictive Maintenance Market & Entry/Exit Barriers
- To Seize Powerful Market Opportunities
- Identify Key Business Segments, Market Proposition & Gap Analysis
- An Unbiased Perspective towards Market Performance & Indicators

Against this Challenging Backdrop, Operational Predictive Maintenance Study Sheds Light on
— The Operational Predictive Maintenance Market status quo and key characteristics. To end this, Analysts at AMA organize and took surveys of the Operational Predictive Maintenance industry Players. The resultant snapshot serves as a basis for understanding why and how the industry can be expected to change.
— Where Operational Predictive Maintenance industry is heading and what are the top priorities. Insights are drawn from financial analysis, surveys, and interviews with key executives and industry experts.
— How every company in this diverse set of Players can best navigate the emerging competition landscape and follow a strategy that helps them position to hold the value they currently claim or capture the new addressable opportunity.

Report Objectives / Segmentation Covered

By Type
  • Software
  • Services
By Application
  • Public Sector
  • Automotive
  • Manufacturing
  • Healthcare
  • Energy & Utility
  • Transportation
By Deployment Mode
  • On-premise
  • Cloud-Based

By Enterprise Size
  • Large Enterprises
  • Small and Medium-sized Enterprises (SMEs)

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. Increase In The Adoption Of the Internet of Things (IoT) Devices
      • 3.2.2. Growing Need to Reduce Maintenance Cost and Downtime
    • 3.3. Market Challenges
      • 3.3.1. Lack Of Technological Knowledge
    • 3.4. Market Trends
      • 3.4.1. Rising Use Of Cloud-Based Industrial Maintenance Management Software
  • 4. Market Factor Analysis
    • 4.1. Porters Five Forces
    • 4.2. Supply/Value Chain
    • 4.3. PESTEL analysis
    • 4.4. Market Entropy
    • 4.5. Patent/Trademark Analysis
  • 5. Global Operational Predictive Maintenance, by Type, Application, Deployment Mode, Enterprise Size and Region (value) (2017-2022)
    • 5.1. Introduction
    • 5.2. Global Operational Predictive Maintenance (Value)
      • 5.2.1. Global Operational Predictive Maintenance by: Type (Value)
        • 5.2.1.1. Software
        • 5.2.1.2. Services
      • 5.2.2. Global Operational Predictive Maintenance by: Application (Value)
        • 5.2.2.1. Public Sector
        • 5.2.2.2. Automotive
        • 5.2.2.3. Manufacturing
        • 5.2.2.4. Healthcare
        • 5.2.2.5. Energy & Utility
        • 5.2.2.6. Transportation
      • 5.2.3. Global Operational Predictive Maintenance by: Deployment Mode (Value)
        • 5.2.3.1. On-premise
        • 5.2.3.2. Cloud-Based
      • 5.2.4. Global Operational Predictive Maintenance by: Enterprise Size (Value)
        • 5.2.4.1. Large Enterprises
        • 5.2.4.2. Small and Medium-sized Enterprises (SMEs)
      • 5.2.5. Global Operational Predictive Maintenance Region
        • 5.2.5.1. South America
          • 5.2.5.1.1. Brazil
          • 5.2.5.1.2. Argentina
          • 5.2.5.1.3. Rest of South America
        • 5.2.5.2. Asia Pacific
          • 5.2.5.2.1. China
          • 5.2.5.2.2. Japan
          • 5.2.5.2.3. India
          • 5.2.5.2.4. South Korea
          • 5.2.5.2.5. Taiwan
          • 5.2.5.2.6. Australia
          • 5.2.5.2.7. Rest of Asia-Pacific
        • 5.2.5.3. Europe
          • 5.2.5.3.1. Germany
          • 5.2.5.3.2. France
          • 5.2.5.3.3. Italy
          • 5.2.5.3.4. United Kingdom
          • 5.2.5.3.5. Netherlands
          • 5.2.5.3.6. Rest of Europe
        • 5.2.5.4. MEA
          • 5.2.5.4.1. Middle East
          • 5.2.5.4.2. Africa
        • 5.2.5.5. North America
          • 5.2.5.5.1. United States
          • 5.2.5.5.2. Canada
          • 5.2.5.5.3. Mexico
  • 6. Operational Predictive Maintenance: Manufacturers/Players Analysis
    • 6.1. Competitive Landscape
      • 6.1.1. Market Share Analysis
        • 6.1.1.1. Top 3
        • 6.1.1.2. Top 5
    • 6.2. Peer Group Analysis (2022)
    • 6.3. BCG Matrix
    • 6.4. Company Profile
      • 6.4.1. IBM Corporation (United States)
        • 6.4.1.1. Business Overview
        • 6.4.1.2. Products/Services Offerings
        • 6.4.1.3. Financial Analysis
        • 6.4.1.4. SWOT Analysis
      • 6.4.2. Software AG (Germany)
        • 6.4.2.1. Business Overview
        • 6.4.2.2. Products/Services Offerings
        • 6.4.2.3. Financial Analysis
        • 6.4.2.4. SWOT Analysis
      • 6.4.3. PTC (United States)
        • 6.4.3.1. Business Overview
        • 6.4.3.2. Products/Services Offerings
        • 6.4.3.3. Financial Analysis
        • 6.4.3.4. SWOT Analysis
      • 6.4.4. General Electric (United States)
        • 6.4.4.1. Business Overview
        • 6.4.4.2. Products/Services Offerings
        • 6.4.4.3. Financial Analysis
        • 6.4.4.4. SWOT Analysis
      • 6.4.5. Robert Bosch (Germany)
        • 6.4.5.1. Business Overview
        • 6.4.5.2. Products/Services Offerings
        • 6.4.5.3. Financial Analysis
        • 6.4.5.4. SWOT Analysis
      • 6.4.6. Rockwell Automation (United States)
        • 6.4.6.1. Business Overview
        • 6.4.6.2. Products/Services Offerings
        • 6.4.6.3. Financial Analysis
        • 6.4.6.4. SWOT Analysis
      • 6.4.7. Schneider Electric (France)
        • 6.4.7.1. Business Overview
        • 6.4.7.2. Products/Services Offerings
        • 6.4.7.3. Financial Analysis
        • 6.4.7.4. SWOT Analysis
      • 6.4.8. EMaint (United States)
        • 6.4.8.1. Business Overview
        • 6.4.8.2. Products/Services Offerings
        • 6.4.8.3. Financial Analysis
        • 6.4.8.4. SWOT Analysis
      • 6.4.9. Microsoft (United States)
        • 6.4.9.1. Business Overview
        • 6.4.9.2. Products/Services Offerings
        • 6.4.9.3. Financial Analysis
        • 6.4.9.4. SWOT Analysis
      • 6.4.10. SAP (Germany)
        • 6.4.10.1. Business Overview
        • 6.4.10.2. Products/Services Offerings
        • 6.4.10.3. Financial Analysis
        • 6.4.10.4. SWOT Analysis
  • 7. Global Operational Predictive Maintenance Sale, by Type, Application, Deployment Mode, Enterprise Size and Region (value) (2023-2028)
    • 7.1. Introduction
    • 7.2. Global Operational Predictive Maintenance (Value)
      • 7.2.1. Global Operational Predictive Maintenance by: Type (Value)
        • 7.2.1.1. Software
        • 7.2.1.2. Services
      • 7.2.2. Global Operational Predictive Maintenance by: Application (Value)
        • 7.2.2.1. Public Sector
        • 7.2.2.2. Automotive
        • 7.2.2.3. Manufacturing
        • 7.2.2.4. Healthcare
        • 7.2.2.5. Energy & Utility
        • 7.2.2.6. Transportation
      • 7.2.3. Global Operational Predictive Maintenance by: Deployment Mode (Value)
        • 7.2.3.1. On-premise
        • 7.2.3.2. Cloud-Based
      • 7.2.4. Global Operational Predictive Maintenance by: Enterprise Size (Value)
        • 7.2.4.1. Large Enterprises
        • 7.2.4.2. Small and Medium-sized Enterprises (SMEs)
      • 7.2.5. Global Operational Predictive Maintenance Region
        • 7.2.5.1. South America
          • 7.2.5.1.1. Brazil
          • 7.2.5.1.2. Argentina
          • 7.2.5.1.3. Rest of South America
        • 7.2.5.2. Asia Pacific
          • 7.2.5.2.1. China
          • 7.2.5.2.2. Japan
          • 7.2.5.2.3. India
          • 7.2.5.2.4. South Korea
          • 7.2.5.2.5. Taiwan
          • 7.2.5.2.6. Australia
          • 7.2.5.2.7. Rest of Asia-Pacific
        • 7.2.5.3. Europe
          • 7.2.5.3.1. Germany
          • 7.2.5.3.2. France
          • 7.2.5.3.3. Italy
          • 7.2.5.3.4. United Kingdom
          • 7.2.5.3.5. Netherlands
          • 7.2.5.3.6. Rest of Europe
        • 7.2.5.4. MEA
          • 7.2.5.4.1. Middle East
          • 7.2.5.4.2. Africa
        • 7.2.5.5. North America
          • 7.2.5.5.1. United States
          • 7.2.5.5.2. Canada
          • 7.2.5.5.3. Mexico
  • 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. Operational Predictive Maintenance: by Type(USD Million)
  • Table 2. Operational Predictive Maintenance Software , by Region USD Million (2017-2022)
  • Table 3. Operational Predictive Maintenance Services , by Region USD Million (2017-2022)
  • Table 4. Operational Predictive Maintenance: by Application(USD Million)
  • Table 5. Operational Predictive Maintenance Public Sector , by Region USD Million (2017-2022)
  • Table 6. Operational Predictive Maintenance Automotive , by Region USD Million (2017-2022)
  • Table 7. Operational Predictive Maintenance Manufacturing , by Region USD Million (2017-2022)
  • Table 8. Operational Predictive Maintenance Healthcare , by Region USD Million (2017-2022)
  • Table 9. Operational Predictive Maintenance Energy & Utility , by Region USD Million (2017-2022)
  • Table 10. Operational Predictive Maintenance Transportation , by Region USD Million (2017-2022)
  • Table 11. Operational Predictive Maintenance: by Deployment Mode(USD Million)
  • Table 12. Operational Predictive Maintenance On-premise , by Region USD Million (2017-2022)
  • Table 13. Operational Predictive Maintenance Cloud-Based , by Region USD Million (2017-2022)
  • Table 14. Operational Predictive Maintenance: by Enterprise Size(USD Million)
  • Table 15. Operational Predictive Maintenance Large Enterprises , by Region USD Million (2017-2022)
  • Table 16. Operational Predictive Maintenance Small and Medium-sized Enterprises (SMEs) , by Region USD Million (2017-2022)
  • Table 17. South America Operational Predictive Maintenance, by Country USD Million (2017-2022)
  • Table 18. South America Operational Predictive Maintenance, by Type USD Million (2017-2022)
  • Table 19. South America Operational Predictive Maintenance, by Application USD Million (2017-2022)
  • Table 20. South America Operational Predictive Maintenance, by Deployment Mode USD Million (2017-2022)
  • Table 21. South America Operational Predictive Maintenance, by Enterprise Size USD Million (2017-2022)
  • Table 22. Brazil Operational Predictive Maintenance, by Type USD Million (2017-2022)
  • Table 23. Brazil Operational Predictive Maintenance, by Application USD Million (2017-2022)
  • Table 24. Brazil Operational Predictive Maintenance, by Deployment Mode USD Million (2017-2022)
  • Table 25. Brazil Operational Predictive Maintenance, by Enterprise Size USD Million (2017-2022)
  • Table 26. Argentina Operational Predictive Maintenance, by Type USD Million (2017-2022)
  • Table 27. Argentina Operational Predictive Maintenance, by Application USD Million (2017-2022)
  • Table 28. Argentina Operational Predictive Maintenance, by Deployment Mode USD Million (2017-2022)
  • Table 29. Argentina Operational Predictive Maintenance, by Enterprise Size USD Million (2017-2022)
  • Table 30. Rest of South America Operational Predictive Maintenance, by Type USD Million (2017-2022)
  • Table 31. Rest of South America Operational Predictive Maintenance, by Application USD Million (2017-2022)
  • Table 32. Rest of South America Operational Predictive Maintenance, by Deployment Mode USD Million (2017-2022)
  • Table 33. Rest of South America Operational Predictive Maintenance, by Enterprise Size USD Million (2017-2022)
  • Table 34. Asia Pacific Operational Predictive Maintenance, by Country USD Million (2017-2022)
  • Table 35. Asia Pacific Operational Predictive Maintenance, by Type USD Million (2017-2022)
  • Table 36. Asia Pacific Operational Predictive Maintenance, by Application USD Million (2017-2022)
  • Table 37. Asia Pacific Operational Predictive Maintenance, by Deployment Mode USD Million (2017-2022)
  • Table 38. Asia Pacific Operational Predictive Maintenance, by Enterprise Size USD Million (2017-2022)
  • Table 39. China Operational Predictive Maintenance, by Type USD Million (2017-2022)
  • Table 40. China Operational Predictive Maintenance, by Application USD Million (2017-2022)
  • Table 41. China Operational Predictive Maintenance, by Deployment Mode USD Million (2017-2022)
  • Table 42. China Operational Predictive Maintenance, by Enterprise Size USD Million (2017-2022)
  • Table 43. Japan Operational Predictive Maintenance, by Type USD Million (2017-2022)
  • Table 44. Japan Operational Predictive Maintenance, by Application USD Million (2017-2022)
  • Table 45. Japan Operational Predictive Maintenance, by Deployment Mode USD Million (2017-2022)
  • Table 46. Japan Operational Predictive Maintenance, by Enterprise Size USD Million (2017-2022)
  • Table 47. India Operational Predictive Maintenance, by Type USD Million (2017-2022)
  • Table 48. India Operational Predictive Maintenance, by Application USD Million (2017-2022)
  • Table 49. India Operational Predictive Maintenance, by Deployment Mode USD Million (2017-2022)
  • Table 50. India Operational Predictive Maintenance, by Enterprise Size USD Million (2017-2022)
  • Table 51. South Korea Operational Predictive Maintenance, by Type USD Million (2017-2022)
  • Table 52. South Korea Operational Predictive Maintenance, by Application USD Million (2017-2022)
  • Table 53. South Korea Operational Predictive Maintenance, by Deployment Mode USD Million (2017-2022)
  • Table 54. South Korea Operational Predictive Maintenance, by Enterprise Size USD Million (2017-2022)
  • Table 55. Taiwan Operational Predictive Maintenance, by Type USD Million (2017-2022)
  • Table 56. Taiwan Operational Predictive Maintenance, by Application USD Million (2017-2022)
  • Table 57. Taiwan Operational Predictive Maintenance, by Deployment Mode USD Million (2017-2022)
  • Table 58. Taiwan Operational Predictive Maintenance, by Enterprise Size USD Million (2017-2022)
  • Table 59. Australia Operational Predictive Maintenance, by Type USD Million (2017-2022)
  • Table 60. Australia Operational Predictive Maintenance, by Application USD Million (2017-2022)
  • Table 61. Australia Operational Predictive Maintenance, by Deployment Mode USD Million (2017-2022)
  • Table 62. Australia Operational Predictive Maintenance, by Enterprise Size USD Million (2017-2022)
  • Table 63. Rest of Asia-Pacific Operational Predictive Maintenance, by Type USD Million (2017-2022)
  • Table 64. Rest of Asia-Pacific Operational Predictive Maintenance, by Application USD Million (2017-2022)
  • Table 65. Rest of Asia-Pacific Operational Predictive Maintenance, by Deployment Mode USD Million (2017-2022)
  • Table 66. Rest of Asia-Pacific Operational Predictive Maintenance, by Enterprise Size USD Million (2017-2022)
  • Table 67. Europe Operational Predictive Maintenance, by Country USD Million (2017-2022)
  • Table 68. Europe Operational Predictive Maintenance, by Type USD Million (2017-2022)
  • Table 69. Europe Operational Predictive Maintenance, by Application USD Million (2017-2022)
  • Table 70. Europe Operational Predictive Maintenance, by Deployment Mode USD Million (2017-2022)
  • Table 71. Europe Operational Predictive Maintenance, by Enterprise Size USD Million (2017-2022)
  • Table 72. Germany Operational Predictive Maintenance, by Type USD Million (2017-2022)
  • Table 73. Germany Operational Predictive Maintenance, by Application USD Million (2017-2022)
  • Table 74. Germany Operational Predictive Maintenance, by Deployment Mode USD Million (2017-2022)
  • Table 75. Germany Operational Predictive Maintenance, by Enterprise Size USD Million (2017-2022)
  • Table 76. France Operational Predictive Maintenance, by Type USD Million (2017-2022)
  • Table 77. France Operational Predictive Maintenance, by Application USD Million (2017-2022)
  • Table 78. France Operational Predictive Maintenance, by Deployment Mode USD Million (2017-2022)
  • Table 79. France Operational Predictive Maintenance, by Enterprise Size USD Million (2017-2022)
  • Table 80. Italy Operational Predictive Maintenance, by Type USD Million (2017-2022)
  • Table 81. Italy Operational Predictive Maintenance, by Application USD Million (2017-2022)
  • Table 82. Italy Operational Predictive Maintenance, by Deployment Mode USD Million (2017-2022)
  • Table 83. Italy Operational Predictive Maintenance, by Enterprise Size USD Million (2017-2022)
  • Table 84. United Kingdom Operational Predictive Maintenance, by Type USD Million (2017-2022)
  • Table 85. United Kingdom Operational Predictive Maintenance, by Application USD Million (2017-2022)
  • Table 86. United Kingdom Operational Predictive Maintenance, by Deployment Mode USD Million (2017-2022)
  • Table 87. United Kingdom Operational Predictive Maintenance, by Enterprise Size USD Million (2017-2022)
  • Table 88. Netherlands Operational Predictive Maintenance, by Type USD Million (2017-2022)
  • Table 89. Netherlands Operational Predictive Maintenance, by Application USD Million (2017-2022)
  • Table 90. Netherlands Operational Predictive Maintenance, by Deployment Mode USD Million (2017-2022)
  • Table 91. Netherlands Operational Predictive Maintenance, by Enterprise Size USD Million (2017-2022)
  • Table 92. Rest of Europe Operational Predictive Maintenance, by Type USD Million (2017-2022)
  • Table 93. Rest of Europe Operational Predictive Maintenance, by Application USD Million (2017-2022)
  • Table 94. Rest of Europe Operational Predictive Maintenance, by Deployment Mode USD Million (2017-2022)
  • Table 95. Rest of Europe Operational Predictive Maintenance, by Enterprise Size USD Million (2017-2022)
  • Table 96. MEA Operational Predictive Maintenance, by Country USD Million (2017-2022)
  • Table 97. MEA Operational Predictive Maintenance, by Type USD Million (2017-2022)
  • Table 98. MEA Operational Predictive Maintenance, by Application USD Million (2017-2022)
  • Table 99. MEA Operational Predictive Maintenance, by Deployment Mode USD Million (2017-2022)
  • Table 100. MEA Operational Predictive Maintenance, by Enterprise Size USD Million (2017-2022)
  • Table 101. Middle East Operational Predictive Maintenance, by Type USD Million (2017-2022)
  • Table 102. Middle East Operational Predictive Maintenance, by Application USD Million (2017-2022)
  • Table 103. Middle East Operational Predictive Maintenance, by Deployment Mode USD Million (2017-2022)
  • Table 104. Middle East Operational Predictive Maintenance, by Enterprise Size USD Million (2017-2022)
  • Table 105. Africa Operational Predictive Maintenance, by Type USD Million (2017-2022)
  • Table 106. Africa Operational Predictive Maintenance, by Application USD Million (2017-2022)
  • Table 107. Africa Operational Predictive Maintenance, by Deployment Mode USD Million (2017-2022)
  • Table 108. Africa Operational Predictive Maintenance, by Enterprise Size USD Million (2017-2022)
  • Table 109. North America Operational Predictive Maintenance, by Country USD Million (2017-2022)
  • Table 110. North America Operational Predictive Maintenance, by Type USD Million (2017-2022)
  • Table 111. North America Operational Predictive Maintenance, by Application USD Million (2017-2022)
  • Table 112. North America Operational Predictive Maintenance, by Deployment Mode USD Million (2017-2022)
  • Table 113. North America Operational Predictive Maintenance, by Enterprise Size USD Million (2017-2022)
  • Table 114. United States Operational Predictive Maintenance, by Type USD Million (2017-2022)
  • Table 115. United States Operational Predictive Maintenance, by Application USD Million (2017-2022)
  • Table 116. United States Operational Predictive Maintenance, by Deployment Mode USD Million (2017-2022)
  • Table 117. United States Operational Predictive Maintenance, by Enterprise Size USD Million (2017-2022)
  • Table 118. Canada Operational Predictive Maintenance, by Type USD Million (2017-2022)
  • Table 119. Canada Operational Predictive Maintenance, by Application USD Million (2017-2022)
  • Table 120. Canada Operational Predictive Maintenance, by Deployment Mode USD Million (2017-2022)
  • Table 121. Canada Operational Predictive Maintenance, by Enterprise Size USD Million (2017-2022)
  • Table 122. Mexico Operational Predictive Maintenance, by Type USD Million (2017-2022)
  • Table 123. Mexico Operational Predictive Maintenance, by Application USD Million (2017-2022)
  • Table 124. Mexico Operational Predictive Maintenance, by Deployment Mode USD Million (2017-2022)
  • Table 125. Mexico Operational Predictive Maintenance, by Enterprise Size USD Million (2017-2022)
  • Table 126. Company Basic Information, Sales Area and Its Competitors
  • Table 127. Company Basic Information, Sales Area and Its Competitors
  • Table 128. Company Basic Information, Sales Area and Its Competitors
  • Table 129. Company Basic Information, Sales Area and Its Competitors
  • Table 130. Company Basic Information, Sales Area and Its Competitors
  • Table 131. Company Basic Information, Sales Area and Its Competitors
  • Table 132. Company Basic Information, Sales Area and Its Competitors
  • Table 133. Company Basic Information, Sales Area and Its Competitors
  • Table 134. Company Basic Information, Sales Area and Its Competitors
  • Table 135. Company Basic Information, Sales Area and Its Competitors
  • Table 136. Operational Predictive Maintenance: by Type(USD Million)
  • Table 137. Operational Predictive Maintenance Software , by Region USD Million (2023-2028)
  • Table 138. Operational Predictive Maintenance Services , by Region USD Million (2023-2028)
  • Table 139. Operational Predictive Maintenance: by Application(USD Million)
  • Table 140. Operational Predictive Maintenance Public Sector , by Region USD Million (2023-2028)
  • Table 141. Operational Predictive Maintenance Automotive , by Region USD Million (2023-2028)
  • Table 142. Operational Predictive Maintenance Manufacturing , by Region USD Million (2023-2028)
  • Table 143. Operational Predictive Maintenance Healthcare , by Region USD Million (2023-2028)
  • Table 144. Operational Predictive Maintenance Energy & Utility , by Region USD Million (2023-2028)
  • Table 145. Operational Predictive Maintenance Transportation , by Region USD Million (2023-2028)
  • Table 146. Operational Predictive Maintenance: by Deployment Mode(USD Million)
  • Table 147. Operational Predictive Maintenance On-premise , by Region USD Million (2023-2028)
  • Table 148. Operational Predictive Maintenance Cloud-Based , by Region USD Million (2023-2028)
  • Table 149. Operational Predictive Maintenance: by Enterprise Size(USD Million)
  • Table 150. Operational Predictive Maintenance Large Enterprises , by Region USD Million (2023-2028)
  • Table 151. Operational Predictive Maintenance Small and Medium-sized Enterprises (SMEs) , by Region USD Million (2023-2028)
  • Table 152. South America Operational Predictive Maintenance, by Country USD Million (2023-2028)
  • Table 153. South America Operational Predictive Maintenance, by Type USD Million (2023-2028)
  • Table 154. South America Operational Predictive Maintenance, by Application USD Million (2023-2028)
  • Table 155. South America Operational Predictive Maintenance, by Deployment Mode USD Million (2023-2028)
  • Table 156. South America Operational Predictive Maintenance, by Enterprise Size USD Million (2023-2028)
  • Table 157. Brazil Operational Predictive Maintenance, by Type USD Million (2023-2028)
  • Table 158. Brazil Operational Predictive Maintenance, by Application USD Million (2023-2028)
  • Table 159. Brazil Operational Predictive Maintenance, by Deployment Mode USD Million (2023-2028)
  • Table 160. Brazil Operational Predictive Maintenance, by Enterprise Size USD Million (2023-2028)
  • Table 161. Argentina Operational Predictive Maintenance, by Type USD Million (2023-2028)
  • Table 162. Argentina Operational Predictive Maintenance, by Application USD Million (2023-2028)
  • Table 163. Argentina Operational Predictive Maintenance, by Deployment Mode USD Million (2023-2028)
  • Table 164. Argentina Operational Predictive Maintenance, by Enterprise Size USD Million (2023-2028)
  • Table 165. Rest of South America Operational Predictive Maintenance, by Type USD Million (2023-2028)
  • Table 166. Rest of South America Operational Predictive Maintenance, by Application USD Million (2023-2028)
  • Table 167. Rest of South America Operational Predictive Maintenance, by Deployment Mode USD Million (2023-2028)
  • Table 168. Rest of South America Operational Predictive Maintenance, by Enterprise Size USD Million (2023-2028)
  • Table 169. Asia Pacific Operational Predictive Maintenance, by Country USD Million (2023-2028)
  • Table 170. Asia Pacific Operational Predictive Maintenance, by Type USD Million (2023-2028)
  • Table 171. Asia Pacific Operational Predictive Maintenance, by Application USD Million (2023-2028)
  • Table 172. Asia Pacific Operational Predictive Maintenance, by Deployment Mode USD Million (2023-2028)
  • Table 173. Asia Pacific Operational Predictive Maintenance, by Enterprise Size USD Million (2023-2028)
  • Table 174. China Operational Predictive Maintenance, by Type USD Million (2023-2028)
  • Table 175. China Operational Predictive Maintenance, by Application USD Million (2023-2028)
  • Table 176. China Operational Predictive Maintenance, by Deployment Mode USD Million (2023-2028)
  • Table 177. China Operational Predictive Maintenance, by Enterprise Size USD Million (2023-2028)
  • Table 178. Japan Operational Predictive Maintenance, by Type USD Million (2023-2028)
  • Table 179. Japan Operational Predictive Maintenance, by Application USD Million (2023-2028)
  • Table 180. Japan Operational Predictive Maintenance, by Deployment Mode USD Million (2023-2028)
  • Table 181. Japan Operational Predictive Maintenance, by Enterprise Size USD Million (2023-2028)
  • Table 182. India Operational Predictive Maintenance, by Type USD Million (2023-2028)
  • Table 183. India Operational Predictive Maintenance, by Application USD Million (2023-2028)
  • Table 184. India Operational Predictive Maintenance, by Deployment Mode USD Million (2023-2028)
  • Table 185. India Operational Predictive Maintenance, by Enterprise Size USD Million (2023-2028)
  • Table 186. South Korea Operational Predictive Maintenance, by Type USD Million (2023-2028)
  • Table 187. South Korea Operational Predictive Maintenance, by Application USD Million (2023-2028)
  • Table 188. South Korea Operational Predictive Maintenance, by Deployment Mode USD Million (2023-2028)
  • Table 189. South Korea Operational Predictive Maintenance, by Enterprise Size USD Million (2023-2028)
  • Table 190. Taiwan Operational Predictive Maintenance, by Type USD Million (2023-2028)
  • Table 191. Taiwan Operational Predictive Maintenance, by Application USD Million (2023-2028)
  • Table 192. Taiwan Operational Predictive Maintenance, by Deployment Mode USD Million (2023-2028)
  • Table 193. Taiwan Operational Predictive Maintenance, by Enterprise Size USD Million (2023-2028)
  • Table 194. Australia Operational Predictive Maintenance, by Type USD Million (2023-2028)
  • Table 195. Australia Operational Predictive Maintenance, by Application USD Million (2023-2028)
  • Table 196. Australia Operational Predictive Maintenance, by Deployment Mode USD Million (2023-2028)
  • Table 197. Australia Operational Predictive Maintenance, by Enterprise Size USD Million (2023-2028)
  • Table 198. Rest of Asia-Pacific Operational Predictive Maintenance, by Type USD Million (2023-2028)
  • Table 199. Rest of Asia-Pacific Operational Predictive Maintenance, by Application USD Million (2023-2028)
  • Table 200. Rest of Asia-Pacific Operational Predictive Maintenance, by Deployment Mode USD Million (2023-2028)
  • Table 201. Rest of Asia-Pacific Operational Predictive Maintenance, by Enterprise Size USD Million (2023-2028)
  • Table 202. Europe Operational Predictive Maintenance, by Country USD Million (2023-2028)
  • Table 203. Europe Operational Predictive Maintenance, by Type USD Million (2023-2028)
  • Table 204. Europe Operational Predictive Maintenance, by Application USD Million (2023-2028)
  • Table 205. Europe Operational Predictive Maintenance, by Deployment Mode USD Million (2023-2028)
  • Table 206. Europe Operational Predictive Maintenance, by Enterprise Size USD Million (2023-2028)
  • Table 207. Germany Operational Predictive Maintenance, by Type USD Million (2023-2028)
  • Table 208. Germany Operational Predictive Maintenance, by Application USD Million (2023-2028)
  • Table 209. Germany Operational Predictive Maintenance, by Deployment Mode USD Million (2023-2028)
  • Table 210. Germany Operational Predictive Maintenance, by Enterprise Size USD Million (2023-2028)
  • Table 211. France Operational Predictive Maintenance, by Type USD Million (2023-2028)
  • Table 212. France Operational Predictive Maintenance, by Application USD Million (2023-2028)
  • Table 213. France Operational Predictive Maintenance, by Deployment Mode USD Million (2023-2028)
  • Table 214. France Operational Predictive Maintenance, by Enterprise Size USD Million (2023-2028)
  • Table 215. Italy Operational Predictive Maintenance, by Type USD Million (2023-2028)
  • Table 216. Italy Operational Predictive Maintenance, by Application USD Million (2023-2028)
  • Table 217. Italy Operational Predictive Maintenance, by Deployment Mode USD Million (2023-2028)
  • Table 218. Italy Operational Predictive Maintenance, by Enterprise Size USD Million (2023-2028)
  • Table 219. United Kingdom Operational Predictive Maintenance, by Type USD Million (2023-2028)
  • Table 220. United Kingdom Operational Predictive Maintenance, by Application USD Million (2023-2028)
  • Table 221. United Kingdom Operational Predictive Maintenance, by Deployment Mode USD Million (2023-2028)
  • Table 222. United Kingdom Operational Predictive Maintenance, by Enterprise Size USD Million (2023-2028)
  • Table 223. Netherlands Operational Predictive Maintenance, by Type USD Million (2023-2028)
  • Table 224. Netherlands Operational Predictive Maintenance, by Application USD Million (2023-2028)
  • Table 225. Netherlands Operational Predictive Maintenance, by Deployment Mode USD Million (2023-2028)
  • Table 226. Netherlands Operational Predictive Maintenance, by Enterprise Size USD Million (2023-2028)
  • Table 227. Rest of Europe Operational Predictive Maintenance, by Type USD Million (2023-2028)
  • Table 228. Rest of Europe Operational Predictive Maintenance, by Application USD Million (2023-2028)
  • Table 229. Rest of Europe Operational Predictive Maintenance, by Deployment Mode USD Million (2023-2028)
  • Table 230. Rest of Europe Operational Predictive Maintenance, by Enterprise Size USD Million (2023-2028)
  • Table 231. MEA Operational Predictive Maintenance, by Country USD Million (2023-2028)
  • Table 232. MEA Operational Predictive Maintenance, by Type USD Million (2023-2028)
  • Table 233. MEA Operational Predictive Maintenance, by Application USD Million (2023-2028)
  • Table 234. MEA Operational Predictive Maintenance, by Deployment Mode USD Million (2023-2028)
  • Table 235. MEA Operational Predictive Maintenance, by Enterprise Size USD Million (2023-2028)
  • Table 236. Middle East Operational Predictive Maintenance, by Type USD Million (2023-2028)
  • Table 237. Middle East Operational Predictive Maintenance, by Application USD Million (2023-2028)
  • Table 238. Middle East Operational Predictive Maintenance, by Deployment Mode USD Million (2023-2028)
  • Table 239. Middle East Operational Predictive Maintenance, by Enterprise Size USD Million (2023-2028)
  • Table 240. Africa Operational Predictive Maintenance, by Type USD Million (2023-2028)
  • Table 241. Africa Operational Predictive Maintenance, by Application USD Million (2023-2028)
  • Table 242. Africa Operational Predictive Maintenance, by Deployment Mode USD Million (2023-2028)
  • Table 243. Africa Operational Predictive Maintenance, by Enterprise Size USD Million (2023-2028)
  • Table 244. North America Operational Predictive Maintenance, by Country USD Million (2023-2028)
  • Table 245. North America Operational Predictive Maintenance, by Type USD Million (2023-2028)
  • Table 246. North America Operational Predictive Maintenance, by Application USD Million (2023-2028)
  • Table 247. North America Operational Predictive Maintenance, by Deployment Mode USD Million (2023-2028)
  • Table 248. North America Operational Predictive Maintenance, by Enterprise Size USD Million (2023-2028)
  • Table 249. United States Operational Predictive Maintenance, by Type USD Million (2023-2028)
  • Table 250. United States Operational Predictive Maintenance, by Application USD Million (2023-2028)
  • Table 251. United States Operational Predictive Maintenance, by Deployment Mode USD Million (2023-2028)
  • Table 252. United States Operational Predictive Maintenance, by Enterprise Size USD Million (2023-2028)
  • Table 253. Canada Operational Predictive Maintenance, by Type USD Million (2023-2028)
  • Table 254. Canada Operational Predictive Maintenance, by Application USD Million (2023-2028)
  • Table 255. Canada Operational Predictive Maintenance, by Deployment Mode USD Million (2023-2028)
  • Table 256. Canada Operational Predictive Maintenance, by Enterprise Size USD Million (2023-2028)
  • Table 257. Mexico Operational Predictive Maintenance, by Type USD Million (2023-2028)
  • Table 258. Mexico Operational Predictive Maintenance, by Application USD Million (2023-2028)
  • Table 259. Mexico Operational Predictive Maintenance, by Deployment Mode USD Million (2023-2028)
  • Table 260. Mexico Operational Predictive Maintenance, by Enterprise Size USD Million (2023-2028)
  • Table 261. Research Programs/Design for This Report
  • Table 262. Key Data Information from Secondary Sources
  • Table 263. 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. Global Operational Predictive Maintenance: by Type USD Million (2017-2022)
  • Figure 5. Global Operational Predictive Maintenance: by Application USD Million (2017-2022)
  • Figure 6. Global Operational Predictive Maintenance: by Deployment Mode USD Million (2017-2022)
  • Figure 7. Global Operational Predictive Maintenance: by Enterprise Size USD Million (2017-2022)
  • Figure 8. South America Operational Predictive Maintenance Share (%), by Country
  • Figure 9. Asia Pacific Operational Predictive Maintenance Share (%), by Country
  • Figure 10. Europe Operational Predictive Maintenance Share (%), by Country
  • Figure 11. MEA Operational Predictive Maintenance Share (%), by Country
  • Figure 12. North America Operational Predictive Maintenance Share (%), by Country
  • Figure 13. Global Operational Predictive Maintenance share by Players 2022 (%)
  • Figure 14. Global Operational Predictive Maintenance share by Players (Top 3) 2022(%)
  • Figure 15. Global Operational Predictive Maintenance share by Players (Top 5) 2022(%)
  • Figure 16. BCG Matrix for key Companies
  • Figure 17. IBM Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 18. IBM Corporation (United States) Revenue: by Geography 2022
  • Figure 19. Software AG (Germany) Revenue, Net Income and Gross profit
  • Figure 20. Software AG (Germany) Revenue: by Geography 2022
  • Figure 21. PTC (United States) Revenue, Net Income and Gross profit
  • Figure 22. PTC (United States) Revenue: by Geography 2022
  • Figure 23. General Electric (United States) Revenue, Net Income and Gross profit
  • Figure 24. General Electric (United States) Revenue: by Geography 2022
  • Figure 25. Robert Bosch (Germany) Revenue, Net Income and Gross profit
  • Figure 26. Robert Bosch (Germany) Revenue: by Geography 2022
  • Figure 27. Rockwell Automation (United States) Revenue, Net Income and Gross profit
  • Figure 28. Rockwell Automation (United States) Revenue: by Geography 2022
  • Figure 29. Schneider Electric (France) Revenue, Net Income and Gross profit
  • Figure 30. Schneider Electric (France) Revenue: by Geography 2022
  • Figure 31. EMaint (United States) Revenue, Net Income and Gross profit
  • Figure 32. EMaint (United States) Revenue: by Geography 2022
  • Figure 33. Microsoft (United States) Revenue, Net Income and Gross profit
  • Figure 34. Microsoft (United States) Revenue: by Geography 2022
  • Figure 35. SAP (Germany) Revenue, Net Income and Gross profit
  • Figure 36. SAP (Germany) Revenue: by Geography 2022
  • Figure 37. Global Operational Predictive Maintenance: by Type USD Million (2023-2028)
  • Figure 38. Global Operational Predictive Maintenance: by Application USD Million (2023-2028)
  • Figure 39. Global Operational Predictive Maintenance: by Deployment Mode USD Million (2023-2028)
  • Figure 40. Global Operational Predictive Maintenance: by Enterprise Size USD Million (2023-2028)
  • Figure 41. South America Operational Predictive Maintenance Share (%), by Country
  • Figure 42. Asia Pacific Operational Predictive Maintenance Share (%), by Country
  • Figure 43. Europe Operational Predictive Maintenance Share (%), by Country
  • Figure 44. MEA Operational Predictive Maintenance Share (%), by Country
  • Figure 45. North America Operational Predictive Maintenance Share (%), by Country
List of companies from research coverage that are profiled in the study
  • IBM Corporation (United States)
  • Software AG (Germany)
  • PTC (United States)
  • General Electric (United States)
  • Robert Bosch (Germany)
  • Rockwell Automation (United States)
  • Schneider Electric (France)
  • eMaint (United States)
  • Microsoft (United States)
  • SAP (Germany)
Additional players considered in the study are as follows:
Rolls-Royce (United Kingdom) , Schneider Electric (France) , United Technologies Corporation (United States) , Bosch (Germany)
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Dec 2023 230 Pages 54 Tables Base Year: 2022 Coverage: 15+ Companies; 18 Countries

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Global Operational Predictive Maintenance Quantitative research analysis
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Frequently Asked Questions (FAQ):

Top performing companies in the Global Operational Predictive Maintenance market are IBM Corporation (United States), Software AG (Germany), PTC (United States), General Electric (United States), Robert Bosch (Germany), Rockwell Automation (United States), Schneider Electric (France), eMaint (United States), Microsoft (United States) and SAP (Germany), to name a few.
is dominating the Operational Predictive Maintenance Market.
"Lack Of Technological Knowledge" is seen as one of the major challenges by many Industry Players of Operational Predictive Maintenance Market
The Operational Predictive Maintenance market study includes a random mix of players, including both market leaders and some top growing emerging players. Connect with our sales executive to get complete companies available in our research coverage.
The Operational Predictive Maintenance market is expected to see a steady growth rate during projected year 2022 to 2028.

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