Predictive Maintenance Market Report by Component (Solution, Service), Technique (Vibration Monitoring, Electrical Testing, Oil Analysis, Ultrasonic Leak Detectors, Shock Pulse, Infrared, and Others), Deployment Type (Cloud-based, On-premises), Organization Size (Small and Medium-sized Enterprises, Large Enterprises), Industry Vertical (Manufacturing, Energy and Utilities, Aerospace and Defense, Transportation and Logistics, Government, Healthcare, and Others), and Region 2024-2032

Predictive Maintenance Market Report by Component (Solution, Service), Technique (Vibration Monitoring, Electrical Testing, Oil Analysis, Ultrasonic Leak Detectors, Shock Pulse, Infrared, and Others), Deployment Type (Cloud-based, On-premises), Organization Size (Small and Medium-sized Enterprises, Large Enterprises), Industry Vertical (Manufacturing, Energy and Utilities, Aerospace and Defense, Transportation and Logistics, Government, Healthcare, and Others), and Region 2024-2032

Report Format: PDF+Excel | Report ID: SR112024A5342
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Market Overview:

The global predictive maintenance market size reached US$ 10.3 Billion in 2023. Looking forward, IMARC Group expects the market to reach US$ 72.3 Billion by 2032, exhibiting a growth rate (CAGR) of 23.8% during 2024-2032. The growing utilization of machine-to-machine (M2M) communication, increasing investment in extending the lifespan of various aging industrial machinery, and rising integration with remote monitoring to conduct advanced inspections represent some of the key factors driving the market.

Report Attribute
Key Statistics
Base Year
2023
Forecast Years
2024-2032
Historical Years
2018-2023
Market Size in 2023 US$ 10.3 Billion
Market Forecast in 2032 US$ 72.3 Billion
Market Growth Rate (2024-2032) 23.8%


Predictive maintenance refers to the technique that relies on condition-monitoring tools and systems to monitor the performance of equipment during operation. It comprises the internet of things (IoT), artificial intelligence (AI), and integrated systems to connect different assets and systems and share and analyze crucial data. It also consists of predictive maintenance sensors, industrial controls, and business systems, such as enterprise asset management (EAM) and enterprise resource planning (ERP) software. It functions by utilizing condition monitoring equipment to examine and evaluate the performance of assets. It records a wide range of data, such as temperature, vibrations, and conductivity, which enables an engineer to predict the failure of equipment or assets while allowing them to be replaced or repaired in advance. It helps reduce maintenance costs, increase the shelf life of equipment, and improve productivity. Furthermore, as predictive maintenance provides safety compliance and preemptive corrective actions, its demand is increasing around the world.

Global Predictive Maintenance Market

Predictive Maintenance Market Trends:

At present, the rising demand for predictive maintenance due to the increasing automation of operations of various industrial assets represents one of the primary factors influencing the market positively. Besides this, the growing utilization of machine-to-machine (M2M) communication and cloud technology to investigate a wide array of information derived from industrial and business assets is offering a favorable market outlook. Additionally, there is an increase in the adoption of predictive maintenance by technicians to plan and prepare for a repair by taking appropriate steps. This, along with the rising employment of predictive maintenance to prevent the disruption of production cycles and the occurrence of unplanned downtime, is propelling the growth of the market. Apart from this, there is a rise in the utilization of predictive maintenance by businesses to generate a tangible return on investment (ROI). This, coupled with the increasing investment in extending the lifespan of various aging industrial machinery, is contributing to the growth of the market. In addition, the rising integration of predictive maintenance with remote monitoring to conduct advanced inspections and predict component and equipment failures is supporting the market growth. Moreover, the increasing employment of predictive maintenance in the healthcare sector to improve the reliability of healthcare infrastructure is bolstering the market growth.

 

 
 

 

Note: Information in the above chart consists of dummy data and is only shown here for representation purpose. Kindly contact us for the actual market size and trends.

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Key Market Segmentation:

IMARC Group provides an analysis of the key trends in each sub-segment of the global predictive maintenance market report, along with forecasts at the global, regional and country level from 2024-2032. Our report has categorized the market based on component, technique, deployment type, organization size and industry vertical.

Component Insights:

  • Solution
  • Service
     

The report has provided a detailed breakup and analysis of the predictive maintenance market based on the component. This includes solution and service. According to the report, solution represented the largest segment.

Technique Insights:

 

 
 

 

Note: Information in the above chart consists of dummy data and is only shown here for representation purpose. Kindly contact us for the actual market size and trends.

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  • Vibration Monitoring
  • Electrical Testing
  • Oil Analysis
  • Ultrasonic Leak Detectors
  • Shock Pulse
  • Infrared
  • Others
     

A detailed breakup and analysis of the predictive maintenance market based on the technique has also been provided in the report. This includes vibration monitoring, electrical testing, oil analysis, ultrasonic leak detectors, shock pulse, infrared, and others. According to the report, vibration monitoring accounted for the largest market share.

Deployment Type Insights:

  • Cloud-based
  • On-premises
     

A detailed breakup and analysis of the predictive maintenance market based on the deployment type has also been provided in the report. This includes cloud-based and on-premises. According to the report, on-premises accounted for the largest market share.

Organization Size Insights:

  • Small and Medium-sized Enterprises 
  • Large Enterprises
     

A detailed breakup and analysis of the predictive maintenance market based on the organization size has also been provided in the report. This includes small and medium-sized enterprises and large enterprises. According to the report, large enterprises accounted for the largest market share.

Industry Vertical Insights:

  • Manufacturing
  • Energy and Utilities
  • Aerospace and Defense
  • Transportation and Logistics
  • Government
  • Healthcare
  • Others
     

A detailed breakup and analysis of the predictive maintenance market based on the industry vertical has also been provided in the report. This includes manufacturing, energy and utilities, aerospace and defense, transportation and logistics, government, healthcare, and others. According to the report, manufacturing accounted for the largest market share.

Regional Insights:

 

 
 

 

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  • North America
    • United States
    • Canada
  • Asia-Pacific
    • China
    • Japan
    • India
    • South Korea
    • Australia
    • Indonesia
    • Others
  • Europe
    • Germany
    • France
    • United Kingdom
    • Italy
    • Spain
    • Russia
    • Others
  • Latin America
    • Brazil
    • Mexico
    • Others
  • Middle East and Africa
     

The report has also provided a comprehensive analysis of all the major regional markets, which include North America (the United States and Canada); Asia Pacific (China, Japan, India, South Korea, Australia, Indonesia, and others); Europe (the United Kingdom, Germany, France, Italy, Spain, Russia, and others); Latin America (Brazil, Mexico, and others); and the Middle East and Africa. According to the report, North America (the United States and Canada) was the largest market for predictive maintenance. Some of the factors driving the North America predictive maintenance market included the growing demand for remote monitoring facilities, rising technological advancements in business automation processes, increasing number of solution and service vendors, etc.

Competitive Landscape:

The report has also provided a comprehensive analysis of the competitive landscape in the global predictive maintenance market. Competitive analysis such as market structure, market share by key players, player positioning, top winning strategies, competitive dashboard, and company evaluation quadrant has been covered in the report. Also, detailed profiles of all major companies have been provided. Some of the companies covered include Asystom, C3.ai Inc., General Electric Company, Google LLC (Alphabet Inc.), Hitachi Ltd., International Business Machines Corporation, Microsoft Corporation, PTC Inc., SAP SE, Software AG, Tibco Software Inc., Uptake Technologies Inc., etc. Kindly note that this only represents a partial list of companies, and the complete list has been provided in the report.

Report Coverage:

Report Features Details
Base Year of the Analysis 2023
Historical Period 2018-2023
Forecast Period 2024-2032
Units US$ Billion
Segment Coverage Component, Technique, Deployment Type, Organization Size, Industry Vertical, Region
Region Covered Asia Pacific, Europe, North America, Latin America, Middle East and Africa
Countries Covered United States, Canada, Germany, France, United Kingdom, Italy, Spain, Russia, China, Japan, India, South Korea, Australia, Indonesia, Brazil, Mexico
Companies Covered Asystom, C3.ai Inc., General Electric Company, Google LLC (Alphabet Inc.), Hitachi Ltd., International Business Machines Corporation, Microsoft Corporation, PTC Inc., SAP SE, Software AG, Tibco Software Inc. and Uptake Technologies Inc.
Customization Scope 10% Free Customization
Report Price and Purchase Option Single User License: US$ 3899
Five User License: US$ 4899
Corporate License: US$ 5899
Post-Sale Analyst Support 10-12 Weeks
Delivery Format PDF and Excel through Email (We can also provide the editable version of the report in PPT/Word format on special request)


Key Benefits for Stakeholders:

  • IMARC’s report offers a comprehensive quantitative analysis of various market segments, historical and current market trends, market forecasts, and dynamics of the predictive maintenance market from 2018-2032.
  • The research study provides the latest information on the market drivers, challenges, and opportunities in the global predictive maintenance market.
  • The study maps the leading, as well as the fastest-growing, regional markets. It further enables stakeholders to identify the key country-level markets within each region.
  • Porter's five forces analysis assist stakeholders in assessing the impact of new entrants, competitive rivalry, supplier power, buyer power, and the threat of substitution. It helps stakeholders to analyze the level of competition within the predictive maintenance industry and its attractiveness.
  • Competitive landscape allows stakeholders to understand their competitive environment and provides an insight into the current positions of key players in the market.

Key Questions Answered in This Report

The global predictive maintenance market was valued at US$ 10.3 Billion in 2023.

We expect the global predictive maintenance market to exhibit a CAGR of 23.8% during 2024-2032.

The rising adoption of real-time streaming analytics technologies, such as predictive maintenance, across various organizations to constantly process and analyze data records is primarily driving the global predictive maintenance market.

The sudden outbreak of the COVID-19 pandemic has led to the rising adoption of predictive maintenance technology to track remote working and asset management during the implementation of stringent lockdown regulations across several nations.

Based on the component, the global predictive maintenance market can be segmented into solution and service. Currently, solution holds the majority of the total market share.

Based on the technique, the global predictive maintenance market has been divided into vibration monitoring, electrical testing, oil analysis, ultrasonic leak detectors, shock pulse, infrared, and others. Among these, vibration monitoring currently exhibits a clear dominance in the market.

Based on the deployment type, the global predictive maintenance market can be categorized into cloud- based and on-premises. Currently, on-premises deployment accounts for the majority of the global market share.

Based on the organization size, the global predictive maintenance market has been segregated into small and medium-sized enterprises and large enterprises, where large enterprises currently hold the largest market share.

Based on the industry vertical, the global predictive maintenance market can be bifurcated into manufacturing, energy and utilities, aerospace and defense, transportation and logistics, government, healthcare, and others. Among these, the manufacturing industry exhibits a clear dominance in the market.

On a regional level, the market has been classified into North America, Asia-Pacific, Europe, Latin America, and Middle East and Africa, where North America currently dominates the global market.

Some of the major players in the global predictive maintenance market include Asystom, C3.ai Inc., General Electric Company, Google LLC (Alphabet Inc.), Hitachi Ltd., International Business Machines Corporation, Microsoft Corporation, PTC Inc., SAP SE, Software AG, Tibco Software Inc., and Uptake Technologies Inc.

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Predictive Maintenance Market Report by Component (Solution, Service), Technique (Vibration Monitoring, Electrical Testing, Oil Analysis, Ultrasonic Leak Detectors, Shock Pulse, Infrared, and Others), Deployment Type (Cloud-based, On-premises), Organization Size (Small and Medium-sized Enterprises, Large Enterprises), Industry Vertical (Manufacturing, Energy and Utilities, Aerospace and Defense, Transportation and Logistics, Government, Healthcare, and Others), and Region 2024-2032
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