Global Predictive Maintenance (PdM) Market

Predictive Maintenance (PdM) Comprehensive Study by Application (Manufacturing, Energy & Utilities, Healthcare, Automotive, Aerospace and Defense, Transportation, Others), Organization Size (Large Enterprises, Small and Medium-sized Enterprises (SMEs)), Component (Hardware (Sensors, Gateways, Others), Software (Cloud-based, On-premise), Services (Managed Services, Professional Services)) Players and Region - Global Market Outlook to 2030

Predictive Maintenance (PdM) Market by XX Submarkets | Forecast Years 2024-2030  

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  • Summary
  • Market Segments
  • Table of Content
  • List of Table & Figures
  • Players Profiled
About Predictive Maintenance (PdM)
The solution Predictive maintenance is a technique that utilizes information examination instruments and frameworks to distinguish abnormalities in activity and potential deformities in equipment and processes so it can fix them before they bring about failure. IT utilizes authentic and ongoing information from different pieces of the cycle to foresee issues before they occur. There are three primary regions of affiliation that factor into prescient upkeep. These apparatuses catch data utilizing prescient support sensors, business frameworks (like EAM programming and ERP programming), and modern controls, at that point sort out it and use it to distinguish any territories that need consideration. a few instances of utilizing prescient upkeep and prescient support sensors incorporate vibration investigation, oil examination, warm imaging, and gear perception. The acknowledgment of cloud-based prescient support goals is relied upon to grow, for the most part, attributable to their advantages, for example, simple upkeep of created information, cost-adequacy, versatility, and powerful administration thus the demand for the Predictive Maintenance (PdM) in the market is booming

AttributesDetails
Study Period2018-2030
Base Year2023
UnitValue (USD Million)


The companies are exploring the market by adopting expansions, investments, new service launches, and collaborations as their preferred strategies. The players are exploring new geographies through expansions and acquisitions across the globe to gain a competitive advantage through combined collaborations. Analyst at AMA Research estimates that United States Players will contribute the maximum growth to Global Predictive Maintenance (PdM) market throughout the forecasted period. Established and emerging Players should take a closer view at their existing organizations and reinvent traditional business and operating models to adapt to the future.

ABB Limited (Switzerland), Siemens AG (Germany), SparkCognition (United States), GE (United States), C3 IoT (United States), IBM (United States), Microsoft (United States), Micro Focus (United Kingdom), SAP (Germany), Hitachi (Japan), PTC (United States), HPE (United States) and AWS (United States) are some of the key players that are part of study coverage. Additionally, the Players which are also part of the research coverage are Seebo (Israel), RapidMiner (United States), Splunk (United States) and Altair (United States).

Segmentation Overview
AMA Research has segmented the market of Global Predictive Maintenance (PdM) market by , Application (Manufacturing, Energy & Utilities, Healthcare, Automotive, Aerospace and Defense, Transportation and Others) and Region.



On the basis of geography, the market of Predictive Maintenance (PdM) 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). If we see Market by , the sub-segment i.e. will boost the Predictive Maintenance (PdM) market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth.

Influencing Trend:
Emerging demand for cloud-based Predictive Maintenance (PdM)

Market Growth Drivers:
Growing the use of emerging technologies to gain valuable insights and The RIse in the need to reduce maintenance cost and downtime

Challenges:
Concern over data security and privacy issues

Restraints:
Lack of skilled professionals

Opportunities:
Real-time condition monitoring to assist in taking prompt actions and Growing the need for remote monitoring and management of assets and business processes owing to the outburst of the COVID 19 is booming the demand for predictive Maintenance

In June 2023, Accenture acquired Nextira, an AWS Premier Partner to deliver cloud-native innovation, predictive analytics and immersive experience. Nextira solution will help to increase Accenture Cloud First’s engineering capabilities and allow their clients to take advantage of cloud capabilities and tools.


Key Target Audience
New Entrants/Investors, Analysts and Strategic Business Planners, Predictive Maintenance (PdM) provider, Government Regulatory and Research Organizations and End-Use Industry

About Approach
To evaluate and validate the market size various sources including primary and secondary analysis is utilized. AMA Research follows regulatory standards such as NAICS/SIC/ICB/TRCB, to have a better understanding of the market. The market study is conducted on basis of more than 200 companies dealing in the market regional as well as global areas with the purpose to understand the companies positioning regarding the market value, volume, and their market share for regional as well as global.

Further to bring relevance specific to any niche market we set and apply a number of criteria like Geographic Footprints, Regional Segments of Revenue, Operational Centres, etc. The next step is to finalize a team (In-House + Data Agencies) who then starts collecting C & D level executives and profiles, Industry experts, Opinion leaders, etc., and work towards appointment generation.

The primary research is performed by taking the interviews of executives of various companies dealing in the market as well as using the survey reports, research institute, and latest research reports. Meanwhile, the analyst team keeps preparing a set of questionnaires, and after getting the appointee list; the target audience is then tapped and segregated with various mediums and channels that are feasible for making connections that including email communication, telephonic, skype, LinkedIn Group & InMail, Community Forums, Community Forums, open Survey, SurveyMonkey, etc.

Report Objectives / Segmentation Covered

By Application
  • Manufacturing
  • Energy & Utilities
  • Healthcare
  • Automotive
  • Aerospace and Defense
  • Transportation
  • Others
By Organization Size
  • Large Enterprises
  • Small and Medium-sized Enterprises (SMEs)

By Component
  • Hardware (Sensors, Gateways, Others)
  • Software (Cloud-based, On-premise)
  • Services (Managed Services, Professional Services)

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. Growing the use of emerging technologies to gain valuable insights
      • 3.2.2. The RIse in the need to reduce maintenance cost and downtime
    • 3.3. Market Challenges
      • 3.3.1. Concern over data security and privacy issues
    • 3.4. Market Trends
      • 3.4.1. Emerging demand for cloud-based Predictive Maintenance (PdM)
  • 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 Predictive Maintenance (PdM), by Application, Organization Size, Component and Region (value and price ) (2018-2023)
    • 5.1. Introduction
    • 5.2. Global Predictive Maintenance (PdM) (Value)
      • 5.2.1. Global Predictive Maintenance (PdM) by: Application (Value)
        • 5.2.1.1. Manufacturing
        • 5.2.1.2. Energy & Utilities
        • 5.2.1.3. Healthcare
        • 5.2.1.4. Automotive
        • 5.2.1.5. Aerospace and Defense
        • 5.2.1.6. Transportation
        • 5.2.1.7. Others
      • 5.2.2. Global Predictive Maintenance (PdM) by: Organization Size (Value)
        • 5.2.2.1. Large Enterprises
        • 5.2.2.2. Small and Medium-sized Enterprises (SMEs)
      • 5.2.3. Global Predictive Maintenance (PdM) by: Component (Value)
        • 5.2.3.1. Hardware (Sensors, Gateways, Others)
        • 5.2.3.2. Software (Cloud-based, On-premise)
        • 5.2.3.3. Services (Managed Services, Professional Services)
      • 5.2.4. Global Predictive Maintenance (PdM) Region
        • 5.2.4.1. South America
          • 5.2.4.1.1. Brazil
          • 5.2.4.1.2. Argentina
          • 5.2.4.1.3. Rest of South America
        • 5.2.4.2. Asia Pacific
          • 5.2.4.2.1. China
          • 5.2.4.2.2. Japan
          • 5.2.4.2.3. India
          • 5.2.4.2.4. South Korea
          • 5.2.4.2.5. Taiwan
          • 5.2.4.2.6. Australia
          • 5.2.4.2.7. Rest of Asia-Pacific
        • 5.2.4.3. Europe
          • 5.2.4.3.1. Germany
          • 5.2.4.3.2. France
          • 5.2.4.3.3. Italy
          • 5.2.4.3.4. United Kingdom
          • 5.2.4.3.5. Netherlands
          • 5.2.4.3.6. Rest of Europe
        • 5.2.4.4. MEA
          • 5.2.4.4.1. Middle East
          • 5.2.4.4.2. Africa
        • 5.2.4.5. North America
          • 5.2.4.5.1. United States
          • 5.2.4.5.2. Canada
          • 5.2.4.5.3. Mexico
    • 5.3. Global Predictive Maintenance (PdM) (Price)
  • 6. Predictive Maintenance (PdM): 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 (2023)
    • 6.3. BCG Matrix
    • 6.4. Company Profile
      • 6.4.1. ABB Limited (Switzerland)
        • 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. Siemens 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. SparkCognition (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. GE (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. C3 IoT (United States)
        • 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. IBM (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. Microsoft (United States)
        • 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. Micro Focus (United Kingdom)
        • 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. SAP (Germany)
        • 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. Hitachi (Japan)
        • 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
      • 6.4.11. PTC (United States)
        • 6.4.11.1. Business Overview
        • 6.4.11.2. Products/Services Offerings
        • 6.4.11.3. Financial Analysis
        • 6.4.11.4. SWOT Analysis
      • 6.4.12. HPE (United States)
        • 6.4.12.1. Business Overview
        • 6.4.12.2. Products/Services Offerings
        • 6.4.12.3. Financial Analysis
        • 6.4.12.4. SWOT Analysis
      • 6.4.13. AWS (United States)
        • 6.4.13.1. Business Overview
        • 6.4.13.2. Products/Services Offerings
        • 6.4.13.3. Financial Analysis
        • 6.4.13.4. SWOT Analysis
  • 7. Global Predictive Maintenance (PdM) Sale, by Application, Organization Size, Component and Region (value and price ) (2025-2030)
    • 7.1. Introduction
    • 7.2. Global Predictive Maintenance (PdM) (Value)
      • 7.2.1. Global Predictive Maintenance (PdM) by: Application (Value)
        • 7.2.1.1. Manufacturing
        • 7.2.1.2. Energy & Utilities
        • 7.2.1.3. Healthcare
        • 7.2.1.4. Automotive
        • 7.2.1.5. Aerospace and Defense
        • 7.2.1.6. Transportation
        • 7.2.1.7. Others
      • 7.2.2. Global Predictive Maintenance (PdM) by: Organization Size (Value)
        • 7.2.2.1. Large Enterprises
        • 7.2.2.2. Small and Medium-sized Enterprises (SMEs)
      • 7.2.3. Global Predictive Maintenance (PdM) by: Component (Value)
        • 7.2.3.1. Hardware (Sensors, Gateways, Others)
        • 7.2.3.2. Software (Cloud-based, On-premise)
        • 7.2.3.3. Services (Managed Services, Professional Services)
      • 7.2.4. Global Predictive Maintenance (PdM) Region
        • 7.2.4.1. South America
          • 7.2.4.1.1. Brazil
          • 7.2.4.1.2. Argentina
          • 7.2.4.1.3. Rest of South America
        • 7.2.4.2. Asia Pacific
          • 7.2.4.2.1. China
          • 7.2.4.2.2. Japan
          • 7.2.4.2.3. India
          • 7.2.4.2.4. South Korea
          • 7.2.4.2.5. Taiwan
          • 7.2.4.2.6. Australia
          • 7.2.4.2.7. Rest of Asia-Pacific
        • 7.2.4.3. Europe
          • 7.2.4.3.1. Germany
          • 7.2.4.3.2. France
          • 7.2.4.3.3. Italy
          • 7.2.4.3.4. United Kingdom
          • 7.2.4.3.5. Netherlands
          • 7.2.4.3.6. Rest of Europe
        • 7.2.4.4. MEA
          • 7.2.4.4.1. Middle East
          • 7.2.4.4.2. Africa
        • 7.2.4.5. North America
          • 7.2.4.5.1. United States
          • 7.2.4.5.2. Canada
          • 7.2.4.5.3. Mexico
    • 7.3. Global Predictive Maintenance (PdM) (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. Predictive Maintenance (PdM): by Application(USD Million)
  • Table 2. Predictive Maintenance (PdM) Manufacturing , by Region USD Million (2018-2023)
  • Table 3. Predictive Maintenance (PdM) Energy & Utilities , by Region USD Million (2018-2023)
  • Table 4. Predictive Maintenance (PdM) Healthcare , by Region USD Million (2018-2023)
  • Table 5. Predictive Maintenance (PdM) Automotive , by Region USD Million (2018-2023)
  • Table 6. Predictive Maintenance (PdM) Aerospace and Defense , by Region USD Million (2018-2023)
  • Table 7. Predictive Maintenance (PdM) Transportation , by Region USD Million (2018-2023)
  • Table 8. Predictive Maintenance (PdM) Others , by Region USD Million (2018-2023)
  • Table 9. Predictive Maintenance (PdM): by Organization Size(USD Million)
  • Table 10. Predictive Maintenance (PdM) Large Enterprises , by Region USD Million (2018-2023)
  • Table 11. Predictive Maintenance (PdM) Small and Medium-sized Enterprises (SMEs) , by Region USD Million (2018-2023)
  • Table 12. Predictive Maintenance (PdM): by Component(USD Million)
  • Table 13. Predictive Maintenance (PdM) Hardware (Sensors, Gateways, Others) , by Region USD Million (2018-2023)
  • Table 14. Predictive Maintenance (PdM) Software (Cloud-based, On-premise) , by Region USD Million (2018-2023)
  • Table 15. Predictive Maintenance (PdM) Services (Managed Services, Professional Services) , by Region USD Million (2018-2023)
  • Table 16. South America Predictive Maintenance (PdM), by Country USD Million (2018-2023)
  • Table 17. South America Predictive Maintenance (PdM), by Application USD Million (2018-2023)
  • Table 18. South America Predictive Maintenance (PdM), by Organization Size USD Million (2018-2023)
  • Table 19. South America Predictive Maintenance (PdM), by Component USD Million (2018-2023)
  • Table 20. Brazil Predictive Maintenance (PdM), by Application USD Million (2018-2023)
  • Table 21. Brazil Predictive Maintenance (PdM), by Organization Size USD Million (2018-2023)
  • Table 22. Brazil Predictive Maintenance (PdM), by Component USD Million (2018-2023)
  • Table 23. Argentina Predictive Maintenance (PdM), by Application USD Million (2018-2023)
  • Table 24. Argentina Predictive Maintenance (PdM), by Organization Size USD Million (2018-2023)
  • Table 25. Argentina Predictive Maintenance (PdM), by Component USD Million (2018-2023)
  • Table 26. Rest of South America Predictive Maintenance (PdM), by Application USD Million (2018-2023)
  • Table 27. Rest of South America Predictive Maintenance (PdM), by Organization Size USD Million (2018-2023)
  • Table 28. Rest of South America Predictive Maintenance (PdM), by Component USD Million (2018-2023)
  • Table 29. Asia Pacific Predictive Maintenance (PdM), by Country USD Million (2018-2023)
  • Table 30. Asia Pacific Predictive Maintenance (PdM), by Application USD Million (2018-2023)
  • Table 31. Asia Pacific Predictive Maintenance (PdM), by Organization Size USD Million (2018-2023)
  • Table 32. Asia Pacific Predictive Maintenance (PdM), by Component USD Million (2018-2023)
  • Table 33. China Predictive Maintenance (PdM), by Application USD Million (2018-2023)
  • Table 34. China Predictive Maintenance (PdM), by Organization Size USD Million (2018-2023)
  • Table 35. China Predictive Maintenance (PdM), by Component USD Million (2018-2023)
  • Table 36. Japan Predictive Maintenance (PdM), by Application USD Million (2018-2023)
  • Table 37. Japan Predictive Maintenance (PdM), by Organization Size USD Million (2018-2023)
  • Table 38. Japan Predictive Maintenance (PdM), by Component USD Million (2018-2023)
  • Table 39. India Predictive Maintenance (PdM), by Application USD Million (2018-2023)
  • Table 40. India Predictive Maintenance (PdM), by Organization Size USD Million (2018-2023)
  • Table 41. India Predictive Maintenance (PdM), by Component USD Million (2018-2023)
  • Table 42. South Korea Predictive Maintenance (PdM), by Application USD Million (2018-2023)
  • Table 43. South Korea Predictive Maintenance (PdM), by Organization Size USD Million (2018-2023)
  • Table 44. South Korea Predictive Maintenance (PdM), by Component USD Million (2018-2023)
  • Table 45. Taiwan Predictive Maintenance (PdM), by Application USD Million (2018-2023)
  • Table 46. Taiwan Predictive Maintenance (PdM), by Organization Size USD Million (2018-2023)
  • Table 47. Taiwan Predictive Maintenance (PdM), by Component USD Million (2018-2023)
  • Table 48. Australia Predictive Maintenance (PdM), by Application USD Million (2018-2023)
  • Table 49. Australia Predictive Maintenance (PdM), by Organization Size USD Million (2018-2023)
  • Table 50. Australia Predictive Maintenance (PdM), by Component USD Million (2018-2023)
  • Table 51. Rest of Asia-Pacific Predictive Maintenance (PdM), by Application USD Million (2018-2023)
  • Table 52. Rest of Asia-Pacific Predictive Maintenance (PdM), by Organization Size USD Million (2018-2023)
  • Table 53. Rest of Asia-Pacific Predictive Maintenance (PdM), by Component USD Million (2018-2023)
  • Table 54. Europe Predictive Maintenance (PdM), by Country USD Million (2018-2023)
  • Table 55. Europe Predictive Maintenance (PdM), by Application USD Million (2018-2023)
  • Table 56. Europe Predictive Maintenance (PdM), by Organization Size USD Million (2018-2023)
  • Table 57. Europe Predictive Maintenance (PdM), by Component USD Million (2018-2023)
  • Table 58. Germany Predictive Maintenance (PdM), by Application USD Million (2018-2023)
  • Table 59. Germany Predictive Maintenance (PdM), by Organization Size USD Million (2018-2023)
  • Table 60. Germany Predictive Maintenance (PdM), by Component USD Million (2018-2023)
  • Table 61. France Predictive Maintenance (PdM), by Application USD Million (2018-2023)
  • Table 62. France Predictive Maintenance (PdM), by Organization Size USD Million (2018-2023)
  • Table 63. France Predictive Maintenance (PdM), by Component USD Million (2018-2023)
  • Table 64. Italy Predictive Maintenance (PdM), by Application USD Million (2018-2023)
  • Table 65. Italy Predictive Maintenance (PdM), by Organization Size USD Million (2018-2023)
  • Table 66. Italy Predictive Maintenance (PdM), by Component USD Million (2018-2023)
  • Table 67. United Kingdom Predictive Maintenance (PdM), by Application USD Million (2018-2023)
  • Table 68. United Kingdom Predictive Maintenance (PdM), by Organization Size USD Million (2018-2023)
  • Table 69. United Kingdom Predictive Maintenance (PdM), by Component USD Million (2018-2023)
  • Table 70. Netherlands Predictive Maintenance (PdM), by Application USD Million (2018-2023)
  • Table 71. Netherlands Predictive Maintenance (PdM), by Organization Size USD Million (2018-2023)
  • Table 72. Netherlands Predictive Maintenance (PdM), by Component USD Million (2018-2023)
  • Table 73. Rest of Europe Predictive Maintenance (PdM), by Application USD Million (2018-2023)
  • Table 74. Rest of Europe Predictive Maintenance (PdM), by Organization Size USD Million (2018-2023)
  • Table 75. Rest of Europe Predictive Maintenance (PdM), by Component USD Million (2018-2023)
  • Table 76. MEA Predictive Maintenance (PdM), by Country USD Million (2018-2023)
  • Table 77. MEA Predictive Maintenance (PdM), by Application USD Million (2018-2023)
  • Table 78. MEA Predictive Maintenance (PdM), by Organization Size USD Million (2018-2023)
  • Table 79. MEA Predictive Maintenance (PdM), by Component USD Million (2018-2023)
  • Table 80. Middle East Predictive Maintenance (PdM), by Application USD Million (2018-2023)
  • Table 81. Middle East Predictive Maintenance (PdM), by Organization Size USD Million (2018-2023)
  • Table 82. Middle East Predictive Maintenance (PdM), by Component USD Million (2018-2023)
  • Table 83. Africa Predictive Maintenance (PdM), by Application USD Million (2018-2023)
  • Table 84. Africa Predictive Maintenance (PdM), by Organization Size USD Million (2018-2023)
  • Table 85. Africa Predictive Maintenance (PdM), by Component USD Million (2018-2023)
  • Table 86. North America Predictive Maintenance (PdM), by Country USD Million (2018-2023)
  • Table 87. North America Predictive Maintenance (PdM), by Application USD Million (2018-2023)
  • Table 88. North America Predictive Maintenance (PdM), by Organization Size USD Million (2018-2023)
  • Table 89. North America Predictive Maintenance (PdM), by Component USD Million (2018-2023)
  • Table 90. United States Predictive Maintenance (PdM), by Application USD Million (2018-2023)
  • Table 91. United States Predictive Maintenance (PdM), by Organization Size USD Million (2018-2023)
  • Table 92. United States Predictive Maintenance (PdM), by Component USD Million (2018-2023)
  • Table 93. Canada Predictive Maintenance (PdM), by Application USD Million (2018-2023)
  • Table 94. Canada Predictive Maintenance (PdM), by Organization Size USD Million (2018-2023)
  • Table 95. Canada Predictive Maintenance (PdM), by Component USD Million (2018-2023)
  • Table 96. Mexico Predictive Maintenance (PdM), by Application USD Million (2018-2023)
  • Table 97. Mexico Predictive Maintenance (PdM), by Organization Size USD Million (2018-2023)
  • Table 98. Mexico Predictive Maintenance (PdM), by Component USD Million (2018-2023)
  • Table 99. Company Basic Information, Sales Area and Its Competitors
  • Table 100. Company Basic Information, Sales Area and Its Competitors
  • Table 101. Company Basic Information, Sales Area and Its Competitors
  • Table 102. Company Basic Information, Sales Area and Its Competitors
  • Table 103. Company Basic Information, Sales Area and Its Competitors
  • Table 104. Company Basic Information, Sales Area and Its Competitors
  • Table 105. Company Basic Information, Sales Area and Its Competitors
  • Table 106. Company Basic Information, Sales Area and Its Competitors
  • Table 107. Company Basic Information, Sales Area and Its Competitors
  • Table 108. Company Basic Information, Sales Area and Its Competitors
  • Table 109. Company Basic Information, Sales Area and Its Competitors
  • Table 110. Company Basic Information, Sales Area and Its Competitors
  • Table 111. Company Basic Information, Sales Area and Its Competitors
  • Table 112. Predictive Maintenance (PdM): by Application(USD Million)
  • Table 113. Predictive Maintenance (PdM) Manufacturing , by Region USD Million (2025-2030)
  • Table 114. Predictive Maintenance (PdM) Energy & Utilities , by Region USD Million (2025-2030)
  • Table 115. Predictive Maintenance (PdM) Healthcare , by Region USD Million (2025-2030)
  • Table 116. Predictive Maintenance (PdM) Automotive , by Region USD Million (2025-2030)
  • Table 117. Predictive Maintenance (PdM) Aerospace and Defense , by Region USD Million (2025-2030)
  • Table 118. Predictive Maintenance (PdM) Transportation , by Region USD Million (2025-2030)
  • Table 119. Predictive Maintenance (PdM) Others , by Region USD Million (2025-2030)
  • Table 120. Predictive Maintenance (PdM): by Organization Size(USD Million)
  • Table 121. Predictive Maintenance (PdM) Large Enterprises , by Region USD Million (2025-2030)
  • Table 122. Predictive Maintenance (PdM) Small and Medium-sized Enterprises (SMEs) , by Region USD Million (2025-2030)
  • Table 123. Predictive Maintenance (PdM): by Component(USD Million)
  • Table 124. Predictive Maintenance (PdM) Hardware (Sensors, Gateways, Others) , by Region USD Million (2025-2030)
  • Table 125. Predictive Maintenance (PdM) Software (Cloud-based, On-premise) , by Region USD Million (2025-2030)
  • Table 126. Predictive Maintenance (PdM) Services (Managed Services, Professional Services) , by Region USD Million (2025-2030)
  • Table 127. South America Predictive Maintenance (PdM), by Country USD Million (2025-2030)
  • Table 128. South America Predictive Maintenance (PdM), by Application USD Million (2025-2030)
  • Table 129. South America Predictive Maintenance (PdM), by Organization Size USD Million (2025-2030)
  • Table 130. South America Predictive Maintenance (PdM), by Component USD Million (2025-2030)
  • Table 131. Brazil Predictive Maintenance (PdM), by Application USD Million (2025-2030)
  • Table 132. Brazil Predictive Maintenance (PdM), by Organization Size USD Million (2025-2030)
  • Table 133. Brazil Predictive Maintenance (PdM), by Component USD Million (2025-2030)
  • Table 134. Argentina Predictive Maintenance (PdM), by Application USD Million (2025-2030)
  • Table 135. Argentina Predictive Maintenance (PdM), by Organization Size USD Million (2025-2030)
  • Table 136. Argentina Predictive Maintenance (PdM), by Component USD Million (2025-2030)
  • Table 137. Rest of South America Predictive Maintenance (PdM), by Application USD Million (2025-2030)
  • Table 138. Rest of South America Predictive Maintenance (PdM), by Organization Size USD Million (2025-2030)
  • Table 139. Rest of South America Predictive Maintenance (PdM), by Component USD Million (2025-2030)
  • Table 140. Asia Pacific Predictive Maintenance (PdM), by Country USD Million (2025-2030)
  • Table 141. Asia Pacific Predictive Maintenance (PdM), by Application USD Million (2025-2030)
  • Table 142. Asia Pacific Predictive Maintenance (PdM), by Organization Size USD Million (2025-2030)
  • Table 143. Asia Pacific Predictive Maintenance (PdM), by Component USD Million (2025-2030)
  • Table 144. China Predictive Maintenance (PdM), by Application USD Million (2025-2030)
  • Table 145. China Predictive Maintenance (PdM), by Organization Size USD Million (2025-2030)
  • Table 146. China Predictive Maintenance (PdM), by Component USD Million (2025-2030)
  • Table 147. Japan Predictive Maintenance (PdM), by Application USD Million (2025-2030)
  • Table 148. Japan Predictive Maintenance (PdM), by Organization Size USD Million (2025-2030)
  • Table 149. Japan Predictive Maintenance (PdM), by Component USD Million (2025-2030)
  • Table 150. India Predictive Maintenance (PdM), by Application USD Million (2025-2030)
  • Table 151. India Predictive Maintenance (PdM), by Organization Size USD Million (2025-2030)
  • Table 152. India Predictive Maintenance (PdM), by Component USD Million (2025-2030)
  • Table 153. South Korea Predictive Maintenance (PdM), by Application USD Million (2025-2030)
  • Table 154. South Korea Predictive Maintenance (PdM), by Organization Size USD Million (2025-2030)
  • Table 155. South Korea Predictive Maintenance (PdM), by Component USD Million (2025-2030)
  • Table 156. Taiwan Predictive Maintenance (PdM), by Application USD Million (2025-2030)
  • Table 157. Taiwan Predictive Maintenance (PdM), by Organization Size USD Million (2025-2030)
  • Table 158. Taiwan Predictive Maintenance (PdM), by Component USD Million (2025-2030)
  • Table 159. Australia Predictive Maintenance (PdM), by Application USD Million (2025-2030)
  • Table 160. Australia Predictive Maintenance (PdM), by Organization Size USD Million (2025-2030)
  • Table 161. Australia Predictive Maintenance (PdM), by Component USD Million (2025-2030)
  • Table 162. Rest of Asia-Pacific Predictive Maintenance (PdM), by Application USD Million (2025-2030)
  • Table 163. Rest of Asia-Pacific Predictive Maintenance (PdM), by Organization Size USD Million (2025-2030)
  • Table 164. Rest of Asia-Pacific Predictive Maintenance (PdM), by Component USD Million (2025-2030)
  • Table 165. Europe Predictive Maintenance (PdM), by Country USD Million (2025-2030)
  • Table 166. Europe Predictive Maintenance (PdM), by Application USD Million (2025-2030)
  • Table 167. Europe Predictive Maintenance (PdM), by Organization Size USD Million (2025-2030)
  • Table 168. Europe Predictive Maintenance (PdM), by Component USD Million (2025-2030)
  • Table 169. Germany Predictive Maintenance (PdM), by Application USD Million (2025-2030)
  • Table 170. Germany Predictive Maintenance (PdM), by Organization Size USD Million (2025-2030)
  • Table 171. Germany Predictive Maintenance (PdM), by Component USD Million (2025-2030)
  • Table 172. France Predictive Maintenance (PdM), by Application USD Million (2025-2030)
  • Table 173. France Predictive Maintenance (PdM), by Organization Size USD Million (2025-2030)
  • Table 174. France Predictive Maintenance (PdM), by Component USD Million (2025-2030)
  • Table 175. Italy Predictive Maintenance (PdM), by Application USD Million (2025-2030)
  • Table 176. Italy Predictive Maintenance (PdM), by Organization Size USD Million (2025-2030)
  • Table 177. Italy Predictive Maintenance (PdM), by Component USD Million (2025-2030)
  • Table 178. United Kingdom Predictive Maintenance (PdM), by Application USD Million (2025-2030)
  • Table 179. United Kingdom Predictive Maintenance (PdM), by Organization Size USD Million (2025-2030)
  • Table 180. United Kingdom Predictive Maintenance (PdM), by Component USD Million (2025-2030)
  • Table 181. Netherlands Predictive Maintenance (PdM), by Application USD Million (2025-2030)
  • Table 182. Netherlands Predictive Maintenance (PdM), by Organization Size USD Million (2025-2030)
  • Table 183. Netherlands Predictive Maintenance (PdM), by Component USD Million (2025-2030)
  • Table 184. Rest of Europe Predictive Maintenance (PdM), by Application USD Million (2025-2030)
  • Table 185. Rest of Europe Predictive Maintenance (PdM), by Organization Size USD Million (2025-2030)
  • Table 186. Rest of Europe Predictive Maintenance (PdM), by Component USD Million (2025-2030)
  • Table 187. MEA Predictive Maintenance (PdM), by Country USD Million (2025-2030)
  • Table 188. MEA Predictive Maintenance (PdM), by Application USD Million (2025-2030)
  • Table 189. MEA Predictive Maintenance (PdM), by Organization Size USD Million (2025-2030)
  • Table 190. MEA Predictive Maintenance (PdM), by Component USD Million (2025-2030)
  • Table 191. Middle East Predictive Maintenance (PdM), by Application USD Million (2025-2030)
  • Table 192. Middle East Predictive Maintenance (PdM), by Organization Size USD Million (2025-2030)
  • Table 193. Middle East Predictive Maintenance (PdM), by Component USD Million (2025-2030)
  • Table 194. Africa Predictive Maintenance (PdM), by Application USD Million (2025-2030)
  • Table 195. Africa Predictive Maintenance (PdM), by Organization Size USD Million (2025-2030)
  • Table 196. Africa Predictive Maintenance (PdM), by Component USD Million (2025-2030)
  • Table 197. North America Predictive Maintenance (PdM), by Country USD Million (2025-2030)
  • Table 198. North America Predictive Maintenance (PdM), by Application USD Million (2025-2030)
  • Table 199. North America Predictive Maintenance (PdM), by Organization Size USD Million (2025-2030)
  • Table 200. North America Predictive Maintenance (PdM), by Component USD Million (2025-2030)
  • Table 201. United States Predictive Maintenance (PdM), by Application USD Million (2025-2030)
  • Table 202. United States Predictive Maintenance (PdM), by Organization Size USD Million (2025-2030)
  • Table 203. United States Predictive Maintenance (PdM), by Component USD Million (2025-2030)
  • Table 204. Canada Predictive Maintenance (PdM), by Application USD Million (2025-2030)
  • Table 205. Canada Predictive Maintenance (PdM), by Organization Size USD Million (2025-2030)
  • Table 206. Canada Predictive Maintenance (PdM), by Component USD Million (2025-2030)
  • Table 207. Mexico Predictive Maintenance (PdM), by Application USD Million (2025-2030)
  • Table 208. Mexico Predictive Maintenance (PdM), by Organization Size USD Million (2025-2030)
  • Table 209. Mexico Predictive Maintenance (PdM), by Component USD Million (2025-2030)
  • Table 210. Research Programs/Design for This Report
  • Table 211. Key Data Information from Secondary Sources
  • Table 212. 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 Predictive Maintenance (PdM): by Application USD Million (2018-2023)
  • Figure 5. Global Predictive Maintenance (PdM): by Organization Size USD Million (2018-2023)
  • Figure 6. Global Predictive Maintenance (PdM): by Component USD Million (2018-2023)
  • Figure 7. South America Predictive Maintenance (PdM) Share (%), by Country
  • Figure 8. Asia Pacific Predictive Maintenance (PdM) Share (%), by Country
  • Figure 9. Europe Predictive Maintenance (PdM) Share (%), by Country
  • Figure 10. MEA Predictive Maintenance (PdM) Share (%), by Country
  • Figure 11. North America Predictive Maintenance (PdM) Share (%), by Country
  • Figure 12. Global Predictive Maintenance (PdM) share by Players 2023 (%)
  • Figure 13. Global Predictive Maintenance (PdM) share by Players (Top 3) 2023(%)
  • Figure 14. Global Predictive Maintenance (PdM) share by Players (Top 5) 2023(%)
  • Figure 15. BCG Matrix for key Companies
  • Figure 16. ABB Limited (Switzerland) Revenue, Net Income and Gross profit
  • Figure 17. ABB Limited (Switzerland) Revenue: by Geography 2023
  • Figure 18. Siemens AG (Germany) Revenue, Net Income and Gross profit
  • Figure 19. Siemens AG (Germany) Revenue: by Geography 2023
  • Figure 20. SparkCognition (United States) Revenue, Net Income and Gross profit
  • Figure 21. SparkCognition (United States) Revenue: by Geography 2023
  • Figure 22. GE (United States) Revenue, Net Income and Gross profit
  • Figure 23. GE (United States) Revenue: by Geography 2023
  • Figure 24. C3 IoT (United States) Revenue, Net Income and Gross profit
  • Figure 25. C3 IoT (United States) Revenue: by Geography 2023
  • Figure 26. IBM (United States) Revenue, Net Income and Gross profit
  • Figure 27. IBM (United States) Revenue: by Geography 2023
  • Figure 28. Microsoft (United States) Revenue, Net Income and Gross profit
  • Figure 29. Microsoft (United States) Revenue: by Geography 2023
  • Figure 30. Micro Focus (United Kingdom) Revenue, Net Income and Gross profit
  • Figure 31. Micro Focus (United Kingdom) Revenue: by Geography 2023
  • Figure 32. SAP (Germany) Revenue, Net Income and Gross profit
  • Figure 33. SAP (Germany) Revenue: by Geography 2023
  • Figure 34. Hitachi (Japan) Revenue, Net Income and Gross profit
  • Figure 35. Hitachi (Japan) Revenue: by Geography 2023
  • Figure 36. PTC (United States) Revenue, Net Income and Gross profit
  • Figure 37. PTC (United States) Revenue: by Geography 2023
  • Figure 38. HPE (United States) Revenue, Net Income and Gross profit
  • Figure 39. HPE (United States) Revenue: by Geography 2023
  • Figure 40. AWS (United States) Revenue, Net Income and Gross profit
  • Figure 41. AWS (United States) Revenue: by Geography 2023
  • Figure 42. Global Predictive Maintenance (PdM): by Application USD Million (2025-2030)
  • Figure 43. Global Predictive Maintenance (PdM): by Organization Size USD Million (2025-2030)
  • Figure 44. Global Predictive Maintenance (PdM): by Component USD Million (2025-2030)
  • Figure 45. South America Predictive Maintenance (PdM) Share (%), by Country
  • Figure 46. Asia Pacific Predictive Maintenance (PdM) Share (%), by Country
  • Figure 47. Europe Predictive Maintenance (PdM) Share (%), by Country
  • Figure 48. MEA Predictive Maintenance (PdM) Share (%), by Country
  • Figure 49. North America Predictive Maintenance (PdM) Share (%), by Country
List of companies from research coverage that are profiled in the study
  • ABB Limited (Switzerland)
  • Siemens AG (Germany)
  • SparkCognition (United States)
  • GE (United States)
  • C3 IoT (United States)
  • IBM (United States)
  • Microsoft (United States)
  • Micro Focus (United Kingdom)
  • SAP (Germany)
  • Hitachi (Japan)
  • PTC (United States)
  • HPE (United States)
  • AWS (United States)
Additional players considered in the study are as follows:
Seebo (Israel) , RapidMiner (United States) , Splunk (United States) , Altair (United States)
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Jul 2024 223 Pages 63 Tables Base Year: 2023 Coverage: 15+ Companies; 18 Countries

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Global Predictive Maintenance (PdM) Market Quantitative research analysis
Global Predictive Maintenance (PdM) Market Qualitative Industry Analysis
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Frequently Asked Questions (FAQ):

The standard version of the report profiles players such as ABB Limited (Switzerland), Siemens AG (Germany), SparkCognition (United States), GE (United States), C3 IoT (United States), IBM (United States), Microsoft (United States), Micro Focus (United Kingdom), SAP (Germany), Hitachi (Japan), PTC (United States), HPE (United States) and AWS (United States) etc.
The Study can be customized subject to feasibility and data availability. Please connect with our sales representative for further information.
"Emerging demand for cloud-based Predictive Maintenance (PdM)" is seen as one of major influencing trends for Predictive Maintenance (PdM) Market during projected period 2023-2030.
The Predictive Maintenance (PdM) 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 a complete company list in our research coverage.

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