{"id":10451,"date":"2026-05-21T15:17:00","date_gmt":"2026-05-21T13:17:00","guid":{"rendered":"https:\/\/famase-facilitymanagement.com\/2026\/05\/predictive-maintenance-the-strategy-reducing-breakdowns-and-operational-costs-in-large-facilities\/"},"modified":"2026-07-28T12:05:03","modified_gmt":"2026-07-28T10:05:03","slug":"predictive-maintenance-the-strategy-reducing-breakdowns-and-operational-costs-in-large-facilities","status":"publish","type":"post","link":"https:\/\/famase-facilitymanagement.com\/en\/2026\/05\/predictive-maintenance-the-strategy-reducing-breakdowns-and-operational-costs-in-large-facilities\/","title":{"rendered":"Predictive Maintenance: The Strategy Reducing Breakdowns and Operational Costs in Large Facilities"},"content":{"rendered":"\n

The efficient management of buildings, logistics centers, hospitals, factories, airports, and business complexes has undergone a significant transformation in recent years. <\/p>\n\n

The increasing digitalization of assets and the incorporation of smart technologies have enabled an evolution from reactive maintenance models to much more advanced systems capable of anticipating problems before they arise.<\/p>\n\n

What is Predictive Maintenance and Why is it Gaining Prominence?<\/h2>\n\n

Unlike corrective maintenance, which acts only after a breakdown has occurred, or preventive maintenance, which relies on scheduled periodic inspections, predictive maintenance analyzes the condition of equipment in real-time to detect potential anomalies before they cause an incident.<\/p>\n\n

This model uses sensors, monitoring systems, IoT platforms, artificial intelligence, and data analysis tools to collect continuous information<\/strong> on asset performance. Variables such as temperature, vibrations, pressure, energy consumption, humidity, or acoustic levels help identify deviations from normal operating parameters. <\/p>\n\n

Thanks to this constant monitoring capability, maintenance managers can intervene only when there are real signs of deterioration, avoiding unnecessary actions and reducing the risk of unexpected failures.<\/p>\n\n

Fewer Breakdowns and Greater Operational Continuity<\/h2>\n\n

One of the main benefits of this strategy is the significant reduction in unplanned downtime.<\/p>\n\n

In large facilities, a breakdown can have significant economic consequences. A failure in HVAC systems, electrical panels, elevators, generator sets, or industrial equipment can affect daily operations, cause service interruptions, or even lead to productivity losses. <\/p>\n\n

Early detection allows interventions to be scheduled at the most opportune moments, minimizing the impact on operations<\/strong>. Furthermore, technicians have more precise information about the root cause of the problem, which speeds up repair work and reduces downtime. <\/p>\n\n

In critical sectors such as healthcare, logistics, or industry, where equipment availability is essential, this ability to anticipate provides a considerable competitive advantage.<\/p>\n\n

Long-Term Reduction in Operational Costs<\/h2>\n\n

Although the implementation of predictive technologies requires an initial investment, the savings achieved usually more than offset the outlay.<\/p>\n\n

Various industry studies show that the application of predictive strategies can reduce breakdowns by 30% to 50%, decrease downtime by up to 45%<\/strong>, and extend the useful life of certain equipment by 20% to 40%.<\/p>\n\n

By preventing serious failures, expenses associated with emergency repairs, premature component replacements, and urgent technical staff deployments are also reduced.<\/p>\n\n

Another relevant aspect is the optimization of spare parts stock. By knowing the condition of assets with greater precision, organizations can better plan supply needs and avoid both excess inventory and a lack of critical parts. <\/p>\n\n

The Importance of Data in Decision-Making<\/h2>\n\n

Modern maintenance is no longer based solely on visual inspections or periodic reviews. The massive collection of data has enabled the development of much more precise models for evaluating asset behavior. <\/p>\n\n

Current management platforms are capable of integrating information from multiple systems and generating key indicators on performance, energy efficiency, incident frequency, or equipment conservation status<\/strong>.<\/p>\n\n

This global vision facilitates strategic decision-making and allows for the prioritization of actions based on objective criteria.<\/p>\n\n

Furthermore, historical analysis helps identify repetitive patterns that might go unnoticed through traditional methods, improving resource planning and increasing the reliability of facilities.<\/p>\n\n

An Ally for Energy Efficiency and Sustainability<\/h2>\n\n

Predictive maintenance also contributes to reducing the energy consumption of buildings and infrastructure.<\/p>\n\n

Equipment operating outside its optimal parameters tends to consume more energy and suffer accelerated wear<\/strong>. Detecting these deviations early allows them to be corrected before they affect the overall performance of the installation. <\/p>\n\n

For example, a pump, an HVAC system, or an electric motor that begins to show anomalies can increase its consumption for weeks or months before breaking down. Continuous monitoring allows for quick action and avoids this energy overcost. <\/p>\n\n

This improvement in efficiency also translates into a reduction in emissions and more sustainable management of available resources.<\/strong><\/p>\n\n

The Role of Facility Management in Maintenance Transformation<\/h2>\n\n

Technological evolution is driving a new way of managing building assets. Facility management services play a fundamental role in this transformation, integrating digital tools, data analysis, and advanced maintenance strategies<\/strong> within a global vision of facility management.<\/p>\n\n

The combination of technical knowledge, permanent monitoring, and strategic planning maximizes asset availability and improves the experience for users, workers, and visitors.<\/p>\n\n

Based on our experience in facility management, we help companies implement more efficient maintenance models,<\/a> adapted to the characteristics of each facility and aimed at reducing incidents, optimizing resources, and improving operational continuity.<\/p>\n\n

We work to ensure that our clients can anticipate problems before they affect their operations, leveraging the advantages of digitalization and intelligent monitoring to guarantee safer, more sustainable, and more profitable environments in the long term.<\/p>\n\n

<\/p>\n","protected":false},"excerpt":{"rendered":"

The efficient management of buildings, logistics centers, hospitals, factories, airports, and business complexes has undergone a significant transformation in recent years. The increasing digitalization of assets and the incorporation of smart technologies have enabled an evolution from reactive maintenance models to much more advanced systems capable of anticipating problems before they arise. What is Predictive Maintenance and Why is it Gaining Prominence? Unlike corrective maintenance, which acts only after a breakdown has occurred, or preventive maintenance, which relies on scheduled periodic inspections, predictive maintenance analyzes the condition of equipment in real-time to detect potential anomalies before they cause an incident. This model uses sensors, monitoring systems, IoT platforms, artificial intelligence, and data analysis tools to collect continuous information on asset performance. Variables such as temperature, vibrations, pressure, energy consumption, humidity, or acoustic levels help identify deviations from normal operating parameters. Thanks to this constant monitoring capability, maintenance managers can intervene only when there are real signs of deterioration, avoiding unnecessary actions and reducing the risk of unexpected failures. Fewer Breakdowns and Greater Operational Continuity One of the main benefits of this strategy is the significant reduction in unplanned downtime. In large facilities, a breakdown can have significant economic consequences. A failure in HVAC systems, electrical panels, elevators, generator sets, or industrial equipment can affect daily operations, cause service interruptions, or even lead to productivity losses. Early detection allows interventions to be scheduled at the most opportune moments, minimizing the impact on operations. Furthermore, technicians have more precise information about the root cause of the problem, which speeds up repair work and reduces downtime. In critical sectors such as healthcare, logistics, or industry, where equipment availability is essential, this ability to anticipate provides a considerable competitive advantage. Long-Term Reduction in Operational Costs Although the implementation of predictive technologies requires an initial investment, the savings achieved usually more than offset the outlay. Various industry studies show that the application of predictive strategies can reduce breakdowns by 30% to 50%, decrease downtime by up to 45%, and extend the useful life of certain equipment by 20% to 40%. By preventing serious failures, expenses associated with emergency repairs, premature component replacements, and urgent technical staff deployments are also reduced. Another relevant aspect is the optimization of spare parts stock. By knowing the condition of assets with greater precision, organizations can better plan supply needs and avoid both excess inventory and a lack of critical parts. The Importance of Data in Decision-Making Modern maintenance is no longer based solely on visual inspections or periodic reviews. The massive collection of data has enabled the development of much more precise models for evaluating asset behavior. Current management platforms are capable of integrating information from multiple systems and generating key indicators on performance, energy efficiency, incident frequency, or equipment conservation status. This global vision facilitates strategic decision-making and allows for the prioritization of actions based on objective criteria. Furthermore, historical analysis helps identify repetitive patterns that might go unnoticed through traditional methods, improving resource planning and increasing the reliability of facilities. An Ally for Energy Efficiency and Sustainability Predictive maintenance also contributes to reducing the energy consumption of buildings and infrastructure. Equipment operating outside its optimal parameters tends to consume more energy and suffer accelerated wear. Detecting these deviations early allows them to be corrected before they affect the overall performance of the installation. For example, a pump, an HVAC system, or an electric motor that begins to show anomalies can increase its consumption for weeks or months before breaking down. Continuous monitoring allows for quick action and avoids this energy overcost. This improvement in efficiency also translates into a reduction in emissions and more sustainable management of available resources. The Role of Facility Management in Maintenance Transformation Technological evolution is driving a new way of managing building assets. Facility management services play a fundamental role in this transformation, integrating digital tools, data analysis, and advanced maintenance strategies within a global vision of facility management. The combination of technical knowledge, permanent monitoring, and strategic planning maximizes asset availability and improves the experience for users, workers, and visitors. Based on our experience in facility management, we help companies implement more efficient maintenance models, adapted to the characteristics of each facility and aimed at reducing incidents, optimizing resources, and improving operational continuity. We work to ensure that our clients can anticipate problems before they affect their operations, leveraging the advantages of digitalization and intelligent monitoring to guarantee safer, more sustainable, and more profitable environments in the long term.<\/p>\n","protected":false},"author":2,"featured_media":10453,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"categories":[160,161],"tags":[164,165,162,163],"class_list":["post-10451","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-blogroll","category-translation","tag-breakdowns","tag-costs","tag-home","tag-preventive-maintenance"],"yoast_head":"\nPredictive Maintenance: The Strategy Reducing Breakdowns and Operational Costs in Large Facilities - Famase<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/famase-facilitymanagement.com\/en\/2026\/05\/predictive-maintenance-the-strategy-reducing-breakdowns-and-operational-costs-in-large-facilities\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Predictive Maintenance: The Strategy Reducing Breakdowns and Operational Costs in Large Facilities - Famase\" \/>\n<meta property=\"og:description\" content=\"The efficient management of buildings, logistics centers, hospitals, factories, airports, and business complexes has undergone a significant transformation in recent years. The increasing digitalization of assets and the incorporation of smart technologies have enabled an evolution from reactive maintenance models to much more advanced systems capable of anticipating problems before they arise. What is Predictive Maintenance and Why is it Gaining Prominence? Unlike corrective maintenance, which acts only after a breakdown has occurred, or preventive maintenance, which relies on scheduled periodic inspections, predictive maintenance analyzes the condition of equipment in real-time to detect potential anomalies before they cause an incident. This model uses sensors, monitoring systems, IoT platforms, artificial intelligence, and data analysis tools to collect continuous information on asset performance. Variables such as temperature, vibrations, pressure, energy consumption, humidity, or acoustic levels help identify deviations from normal operating parameters. Thanks to this constant monitoring capability, maintenance managers can intervene only when there are real signs of deterioration, avoiding unnecessary actions and reducing the risk of unexpected failures. Fewer Breakdowns and Greater Operational Continuity One of the main benefits of this strategy is the significant reduction in unplanned downtime. In large facilities, a breakdown can have significant economic consequences. A failure in HVAC systems, electrical panels, elevators, generator sets, or industrial equipment can affect daily operations, cause service interruptions, or even lead to productivity losses. Early detection allows interventions to be scheduled at the most opportune moments, minimizing the impact on operations. Furthermore, technicians have more precise information about the root cause of the problem, which speeds up repair work and reduces downtime. In critical sectors such as healthcare, logistics, or industry, where equipment availability is essential, this ability to anticipate provides a considerable competitive advantage. Long-Term Reduction in Operational Costs Although the implementation of predictive technologies requires an initial investment, the savings achieved usually more than offset the outlay. Various industry studies show that the application of predictive strategies can reduce breakdowns by 30% to 50%, decrease downtime by up to 45%, and extend the useful life of certain equipment by 20% to 40%. By preventing serious failures, expenses associated with emergency repairs, premature component replacements, and urgent technical staff deployments are also reduced. Another relevant aspect is the optimization of spare parts stock. By knowing the condition of assets with greater precision, organizations can better plan supply needs and avoid both excess inventory and a lack of critical parts. The Importance of Data in Decision-Making Modern maintenance is no longer based solely on visual inspections or periodic reviews. The massive collection of data has enabled the development of much more precise models for evaluating asset behavior. Current management platforms are capable of integrating information from multiple systems and generating key indicators on performance, energy efficiency, incident frequency, or equipment conservation status. This global vision facilitates strategic decision-making and allows for the prioritization of actions based on objective criteria. Furthermore, historical analysis helps identify repetitive patterns that might go unnoticed through traditional methods, improving resource planning and increasing the reliability of facilities. An Ally for Energy Efficiency and Sustainability Predictive maintenance also contributes to reducing the energy consumption of buildings and infrastructure. Equipment operating outside its optimal parameters tends to consume more energy and suffer accelerated wear. Detecting these deviations early allows them to be corrected before they affect the overall performance of the installation. For example, a pump, an HVAC system, or an electric motor that begins to show anomalies can increase its consumption for weeks or months before breaking down. Continuous monitoring allows for quick action and avoids this energy overcost. This improvement in efficiency also translates into a reduction in emissions and more sustainable management of available resources. The Role of Facility Management in Maintenance Transformation Technological evolution is driving a new way of managing building assets. Facility management services play a fundamental role in this transformation, integrating digital tools, data analysis, and advanced maintenance strategies within a global vision of facility management. The combination of technical knowledge, permanent monitoring, and strategic planning maximizes asset availability and improves the experience for users, workers, and visitors. Based on our experience in facility management, we help companies implement more efficient maintenance models, adapted to the characteristics of each facility and aimed at reducing incidents, optimizing resources, and improving operational continuity. We work to ensure that our clients can anticipate problems before they affect their operations, leveraging the advantages of digitalization and intelligent monitoring to guarantee safer, more sustainable, and more profitable environments in the long term.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/famase-facilitymanagement.com\/en\/2026\/05\/predictive-maintenance-the-strategy-reducing-breakdowns-and-operational-costs-in-large-facilities\/\" \/>\n<meta property=\"og:site_name\" content=\"Famase\" \/>\n<meta property=\"article:published_time\" content=\"2026-05-21T13:17:00+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2026-07-28T10:05:03+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/famase-facilitymanagement.com\/wp-content\/uploads\/2026\/06\/servicios-de-facility-management-espana-portugal-2-scaled.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"2560\" \/>\n\t<meta property=\"og:image:height\" content=\"1707\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Sergio\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@FamaseFm\" \/>\n<meta name=\"twitter:site\" content=\"@FamaseFm\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Sergio\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"4 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\\\/\\\/famase-facilitymanagement.com\\\/en\\\/2026\\\/05\\\/predictive-maintenance-the-strategy-reducing-breakdowns-and-operational-costs-in-large-facilities\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/famase-facilitymanagement.com\\\/en\\\/2026\\\/05\\\/predictive-maintenance-the-strategy-reducing-breakdowns-and-operational-costs-in-large-facilities\\\/\"},\"author\":{\"name\":\"Sergio\",\"@id\":\"https:\\\/\\\/famase-facilitymanagement.com\\\/en\\\/#\\\/schema\\\/person\\\/a9ce623660bbceeda6ce9d4878431032\"},\"headline\":\"Predictive Maintenance: The Strategy Reducing Breakdowns and Operational Costs in Large Facilities\",\"datePublished\":\"2026-05-21T13:17:00+00:00\",\"dateModified\":\"2026-07-28T10:05:03+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\\\/\\\/famase-facilitymanagement.com\\\/en\\\/2026\\\/05\\\/predictive-maintenance-the-strategy-reducing-breakdowns-and-operational-costs-in-large-facilities\\\/\"},\"wordCount\":755,\"publisher\":{\"@id\":\"https:\\\/\\\/famase-facilitymanagement.com\\\/en\\\/#organization\"},\"image\":{\"@id\":\"https:\\\/\\\/famase-facilitymanagement.com\\\/en\\\/2026\\\/05\\\/predictive-maintenance-the-strategy-reducing-breakdowns-and-operational-costs-in-large-facilities\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/famase-facilitymanagement.com\\\/wp-content\\\/uploads\\\/2026\\\/06\\\/servicios-de-facility-management-espana-portugal-2-scaled.jpg\",\"keywords\":[\"breakdowns\",\"costs\",\"Home\",\"preventive maintenance\"],\"articleSection\":[\"Blogroll\",\"Translation\"],\"inLanguage\":\"en-US\"},{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/famase-facilitymanagement.com\\\/en\\\/2026\\\/05\\\/predictive-maintenance-the-strategy-reducing-breakdowns-and-operational-costs-in-large-facilities\\\/\",\"url\":\"https:\\\/\\\/famase-facilitymanagement.com\\\/en\\\/2026\\\/05\\\/predictive-maintenance-the-strategy-reducing-breakdowns-and-operational-costs-in-large-facilities\\\/\",\"name\":\"Predictive Maintenance: The Strategy Reducing Breakdowns and Operational Costs in Large Facilities - 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The increasing digitalization of assets and the incorporation of smart technologies have enabled an evolution from reactive maintenance models to much more advanced systems capable of anticipating problems before they arise. What is Predictive Maintenance and Why is it Gaining Prominence? Unlike corrective maintenance, which acts only after a breakdown has occurred, or preventive maintenance, which relies on scheduled periodic inspections, predictive maintenance analyzes the condition of equipment in real-time to detect potential anomalies before they cause an incident. This model uses sensors, monitoring systems, IoT platforms, artificial intelligence, and data analysis tools to collect continuous information on asset performance. Variables such as temperature, vibrations, pressure, energy consumption, humidity, or acoustic levels help identify deviations from normal operating parameters. Thanks to this constant monitoring capability, maintenance managers can intervene only when there are real signs of deterioration, avoiding unnecessary actions and reducing the risk of unexpected failures. Fewer Breakdowns and Greater Operational Continuity One of the main benefits of this strategy is the significant reduction in unplanned downtime. In large facilities, a breakdown can have significant economic consequences. A failure in HVAC systems, electrical panels, elevators, generator sets, or industrial equipment can affect daily operations, cause service interruptions, or even lead to productivity losses. Early detection allows interventions to be scheduled at the most opportune moments, minimizing the impact on operations. Furthermore, technicians have more precise information about the root cause of the problem, which speeds up repair work and reduces downtime. In critical sectors such as healthcare, logistics, or industry, where equipment availability is essential, this ability to anticipate provides a considerable competitive advantage. Long-Term Reduction in Operational Costs Although the implementation of predictive technologies requires an initial investment, the savings achieved usually more than offset the outlay. Various industry studies show that the application of predictive strategies can reduce breakdowns by 30% to 50%, decrease downtime by up to 45%, and extend the useful life of certain equipment by 20% to 40%. By preventing serious failures, expenses associated with emergency repairs, premature component replacements, and urgent technical staff deployments are also reduced. Another relevant aspect is the optimization of spare parts stock. By knowing the condition of assets with greater precision, organizations can better plan supply needs and avoid both excess inventory and a lack of critical parts. The Importance of Data in Decision-Making Modern maintenance is no longer based solely on visual inspections or periodic reviews. The massive collection of data has enabled the development of much more precise models for evaluating asset behavior. Current management platforms are capable of integrating information from multiple systems and generating key indicators on performance, energy efficiency, incident frequency, or equipment conservation status. This global vision facilitates strategic decision-making and allows for the prioritization of actions based on objective criteria. Furthermore, historical analysis helps identify repetitive patterns that might go unnoticed through traditional methods, improving resource planning and increasing the reliability of facilities. An Ally for Energy Efficiency and Sustainability Predictive maintenance also contributes to reducing the energy consumption of buildings and infrastructure. Equipment operating outside its optimal parameters tends to consume more energy and suffer accelerated wear. Detecting these deviations early allows them to be corrected before they affect the overall performance of the installation. For example, a pump, an HVAC system, or an electric motor that begins to show anomalies can increase its consumption for weeks or months before breaking down. Continuous monitoring allows for quick action and avoids this energy overcost. This improvement in efficiency also translates into a reduction in emissions and more sustainable management of available resources. The Role of Facility Management in Maintenance Transformation Technological evolution is driving a new way of managing building assets. Facility management services play a fundamental role in this transformation, integrating digital tools, data analysis, and advanced maintenance strategies within a global vision of facility management. The combination of technical knowledge, permanent monitoring, and strategic planning maximizes asset availability and improves the experience for users, workers, and visitors. Based on our experience in facility management, we help companies implement more efficient maintenance models, adapted to the characteristics of each facility and aimed at reducing incidents, optimizing resources, and improving operational continuity. 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