Motor Monitoring Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, Segmented By Offering (Hardware, Software, Services), By Monitoring Process (Online Monitoring, Offline Monitoring), By End-Use Industry (Oil & Gas, Power Generation, Water & Wastewater, Metals & Mining, Others), By Region & Competition, 2020-2030F

Market Overview

The Global Motor Monitoring Market was valued at USD 2.91 Billion in 2024 and is expected to reach USD 5.33 Billion by 2030 with a CAGR of 10.46% during the forecast period.

The global Motor Monitoring Market is witnessing robust growth driven by increasing emphasis on operational efficiency, predictive maintenance, and asset optimization across various industries. As motors form the backbone of industrial processes—powering everything from pumps and compressors to conveyors and machine tools—real-time monitoring solutions have become essential in detecting anomalies, reducing unplanned downtime, and improving equipment lifespan. The market is being propelled by rising demand in sectors such as oil & gas, power generation, water & wastewater, manufacturing, and automotive, where uninterrupted operations and energy savings are critical. With advancements in Industrial Internet of Things (IIoT), artificial intelligence (AI), and data analytics, motor monitoring systems have evolved to provide smart diagnostics and predictive insights, enabling organizations to shift from reactive to proactive maintenance models.

Technological advancements have led to the development of sophisticated sensors and software platforms capable of continuously tracking parameters such as vibration, temperature, voltage, and current. These tools help detect early signs of motor failure and optimize energy consumption, making them attractive for industries focused on cost reduction and sustainability. Moreover, the integration of cloud computing and edge analytics has facilitated remote monitoring, allowing centralized control of widely distributed assets—an essential capability for large-scale infrastructure projects and multinational enterprises. Online monitoring has gained significant traction over offline methods due to its ability to provide real-time data and alerts, thereby minimizing disruptions in critical operations.

The global motor monitoring market is poised for continued expansion as organizations increasingly recognize the value of condition-based monitoring and predictive maintenance strategies. The growing convergence of automation, digitalization, and machine learning is expected to further strengthen the market, transforming motor monitoring from a maintenance tool into a strategic asset management solution.

Key Market Drivers

Increasing Focus on Predictive Maintenance

Predictive maintenance has become a primary operational goal for industries using motor-driven systems. Organizations are moving from traditional time-based maintenance to data-driven strategies, which enhance uptime and reduce maintenance costs. Over 60% of equipment failures are now preventable through predictive analytics. Motor monitoring systems enable early fault detection by tracking parameters such as vibration, temperature, and power quality.

About 45% of industrial motors exhibit signs of early failure during their operational life. Implementing predictive maintenance can lead to up to 30% reduction in maintenance costs and up to 70% fewer breakdowns. Additionally, businesses report an average 25% increase in equipment lifespan through predictive maintenance. The average downtime cost per hour for critical equipment, including motors, is estimated at $260,000, making predictive monitoring a strategic necessity.

With over 40 million electric motors operating in industries globally, the scale of potential efficiency gains is significant. This driver is further reinforced by the integration of AI and machine learning in monitoring platforms, enabling accurate failure pattern recognition. As industries increasingly prioritize reliability and performance, predictive maintenance using motor monitoring systems will continue to be a core investment area.

Rising Energy Efficiency Demands in Industrial Applications

Electric motors account for a substantial share of industrial electricity use—estimated at approximately 65-70%. As energy costs rise and regulatory pressure tightens, organizations are focusing on improving motor efficiency. Motor monitoring solutions allow continuous measurement of power factor, harmonics, and voltage imbalances, which helps identify energy wastage and inefficiencies.

A properly monitored and optimized motor can save between 5% and 20% of its energy consumption. Real-time tracking of operating parameters allows motors to run closer to their optimal efficiency point, helping companies meet internal energy-saving goals of up to 15% annually. Moreover, energy audits enabled by monitoring tools have shown that 20% of motors run under suboptimal conditions without users realizing it.

Approximately 30% of motor failures are linked to overheating or misalignment—both of which can be diagnosed through energy profiling. Regulatory requirements in more than 60 countries now encourage or mandate energy efficiency improvements, making motor monitoring essential. The integration of energy performance dashboards in motor monitoring systems enables cost tracking in real-time, aligning operational and sustainability goals.

As industries aim to achieve lower carbon footprints and reduce energy bills, the role of motor monitoring in energy efficiency enhancement becomes a critical driver.

Proliferation of Industrial IoT (IIoT) and Smart Manufacturing

The emergence of the Industrial Internet of Things (IIoT) is transforming the way motors are monitored and managed. IIoT enables seamless data collection, real-time analytics, and centralized asset control. Over 80% of global manufacturers are either deploying or planning to deploy IIoT solutions, making it a core enabler of intelligent motor monitoring systems.

Motor monitoring is a key use case in over 50% of smart factory initiatives, as it directly affects asset performance and uptime. Around 35% of IIoT deployments prioritize condition-based monitoring for rotating equipment. Smart sensors embedded in motors can generate up to 500 data points per second, offering deep visibility into motor health. Wireless connectivity, which is now present in over 60% of new monitoring systems, supports real-time access and mobile alerts for critical failures.

Moreover, with IIoT gateways and edge computing, data can be processed locally, reducing latency by up to 70%. This ensures faster response times and minimizes the risk of downtime. The convergence of IIoT with cloud-based dashboards also supports enterprise-wide asset monitoring across multiple sites.

With over 90 million connected industrial devices projected in use globally, motor monitoring solutions are well-positioned to benefit from this digital transformation, becoming integral to smart manufacturing frameworks.

Growing Need for Remote Monitoring in Distributed Operations

Industries with large, geographically distributed assets—such as oil & gas, power utilities, and water treatment—require remote monitoring capabilities to manage motors effectively. Remote motor monitoring enables continuous oversight without the need for physical presence, reducing costs and improving safety. As of recent trends, over 70% of asset-intensive companies have adopted or are considering remote equipment monitoring.

In sectors like oil & gas, 25-30% of operational motors are located in remote or hazardous environments, where manual inspection is challenging. Remote monitoring helps reduce field technician visits by up to 40%, minimizing travel time and enhancing workforce efficiency. Additionally, wireless motor monitoring systems can deliver data over distances of up to 2 kilometers in industrial zones.

Integration with SCADA and DCS systems allows operators to receive instant alerts and historical performance data. Over 60% of utility companies report improved reliability and faster issue resolution through remote diagnostics. Furthermore, machine-to-machine (M2M) communication protocols enable seamless integration into existing control architectures, reducing deployment time by 30-50%.

The increasing digitization of field operations and the rise in unmanned industrial zones are intensifying the demand for robust remote motor monitoring capabilities, making it a vital growth driver.

Stringent Regulatory Compliance and Safety Standards

Governments and international organizations are tightening regulations concerning workplace safety, energy consumption, and equipment reliability. These regulations have prompted companies to adopt condition monitoring systems, particularly for motors, which are often critical to plant safety. For instance, OSHA and IEC standards now mandate specific safety practices in facilities using high-horsepower motors.

Approximately 20% of industrial accidents are linked to mechanical failures, many of which could be prevented through timely motor diagnostics. Regular monitoring reduces the risk of fire, electric hazards, and mechanical breakdowns, aligning with compliance requirements. In the chemical and pharmaceutical sectors, over 50% of the machinery is classified as safety-critical, increasing the need for continuous monitoring.

Compliance with ISO 50001 and similar energy management standards requires real-time tracking of electrical assets. About 40% of certified plants use motor monitoring data to meet reporting obligations. Moreover, environmental regulations encourage minimizing downtime-related emissions in sectors like power and cement, further necessitating predictive monitoring.

In the EU alone, regulations mandate that all motors above 0.75 kW meet minimum efficiency standards, pushing companies to maintain operational visibility. These policy-driven forces ensure that compliance becomes not only a legal obligation but also a competitive advantage, strengthening the role of motor monitoring technologies.

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Key Market Challenges

High Initial Investment and Deployment Costs

Despite long-term savings, the high upfront costs of motor monitoring systems present a significant challenge to widespread adoption, particularly in small and medium-sized enterprises (SMEs). Hardware such as vibration sensors, current transformers, and communication modules can be expensive, especially when applied across large motor fleets. Additionally, modern systems often require integration with existing SCADA, ERP, or DCS platforms, leading to increased deployment complexity and expense.

For many organizations, especially in cost-sensitive industries like textiles or small-scale manufacturing, the return on investment (ROI) may take several years, which hinders decision-making. Installation and calibration of monitoring systems in older industrial facilities can incur extra costs due to retrofitting and compatibility issues. Moreover, edge computing or cloud-based analytics platforms often carry subscription fees, adding to the ongoing operational expenses.

Training costs also add to the burden. Industrial operators and maintenance staff must be trained to interpret data, configure sensors, and respond to alerts. This presents not just a financial cost, but also a time and resource burden. Companies without in-house expertise often need to hire external consultants or managed service providers.

In remote regions or developing countries, the cost of importing advanced monitoring equipment and the lack of local support services further amplify the challenge. While multinational corporations may have the budget to absorb these investments, smaller players remain constrained. Thus, despite the clear benefits of motor monitoring, high initial and integration costs remain a barrier to mass adoption.

Lack of Standardization Across Monitoring Systems

The global motor monitoring landscape is fragmented, with various vendors offering proprietary platforms, sensor types, and communication protocols. This lack of interoperability creates integration challenges for users attempting to centralize or scale their motor monitoring infrastructure. As a result, industries often struggle to consolidate data from multiple motor types, brands, and monitoring systems into a unified platform.

For example, a manufacturing plant may use motors from five different suppliers, each requiring different data acquisition methods and software. When monitoring tools are not standardized, this leads to inefficiencies and manual interventions, limiting the effectiveness of analytics and predictive maintenance.

Additionally, data format inconsistencies make it difficult to build centralized dashboards or perform cross-platform analytics. In some cases, users must convert or clean data manually, introducing the risk of errors and reducing the value of real-time insights. Communication protocols such as Modbus, PROFIBUS, and OPC UA are not universally adopted, which further complicates integration with legacy systems.

This challenge is particularly prominent in brownfield projects, where older infrastructure may not support modern monitoring solutions without extensive retrofitting. As a result, companies often delay digital transformation initiatives due to compatibility concerns.

The absence of a universal set of guidelines or performance benchmarks also leads to buyer confusion. Companies struggle to evaluate offerings on an apples-to-apples basis, making the procurement process longer and riskier. Without greater standardization, widespread and seamless adoption of motor monitoring technology will remain a hurdle for many sectors.

Data Overload and Complexity in Analysis

With the rise of Industrial IoT and smart sensors, motor monitoring systems now collect massive volumes of data—including real-time information on vibration, temperature, load, current, harmonics, and more. While this data is valuable, the sheer quantity can overwhelm plant operators, especially when there's no automated analysis or proper filtering mechanisms in place.

On average, a single motor can generate several gigabytes of data monthly, particularly when high-frequency vibration or waveform data is involved. Without well-designed analytics platforms, much of this data goes underutilized, resulting in wasted storage and missed opportunities for actionable insights. Additionally, improper data interpretation can lead to false alarms or unnecessary maintenance interventions.

For organizations lacking dedicated data scientists or skilled maintenance engineers, interpreting the meaning and urgency of alerts becomes difficult. Around 40–50% of maintenance teams still rely on basic dashboards without predictive capabilities, limiting their ability to take preemptive action. In many cases, data from different sensors or systems are siloed, requiring manual correlation and increasing the likelihood of oversight.

As motor monitoring evolves toward condition-based and AI-driven maintenance, effective data governance becomes crucial. Organizations need to ensure that data is clean, consistent, secure, and timely. Unfortunately, many still lack the IT infrastructure or cybersecurity measures to handle such complexity.

Furthermore, not all motor monitoring tools offer scalable data analytics or integration with enterprise systems. This leads to underperformance in larger plants with thousands of motors. Until analytics become more accessible, automated, and user-friendly, data complexity will remain a roadblock to achieving the full value of motor monitoring investments.

Shortage of Skilled Workforce for System Operation and Maintenance

As motor monitoring systems become more sophisticated—leveraging AI, machine learning, and cloud platforms—the demand for a technically skilled workforce has grown substantially. Unfortunately, a global shortage of skilled maintenance professionals and industrial data analysts is restricting the adoption and effectiveness of these systems.

A large number of industrial technicians are trained in traditional maintenance practices and lack the competencies required to interpret sensor data, configure monitoring platforms, or conduct failure root-cause analysis. Surveys show that over 60% of plant operators identify a skills gap in using advanced monitoring technologies.

This talent gap is even more pronounced in developing regions where technical education and access to training resources are limited. The complexity of integrating motor monitoring tools with existing automation systems like SCADA or MES further exacerbates the challenge. Even when solutions are implemented, their capabilities are underused because personnel are not confident in using advanced analytics features or interpreting alerts correctly.

High turnover in industrial operations roles also compounds the issue. Companies spend resources training employees, only to face frequent resignations or retirements. This leads to inconsistency in monitoring system performance and reduces long-term reliability. Moreover, the need to frequently consult external experts increases operational costs.

Without effective internal knowledge and training frameworks, companies often operate motor monitoring systems in a reactive mode rather than leveraging their predictive potential. This reduces ROI and discourages future investment. Bridging the workforce gap through upskilling, certifications, and vendor-led training programs is critical, but progress remains slow, making this a persistent market challenge.

Cybersecurity Risks in Connected Monitoring Systems

As motor monitoring systems become increasingly integrated with IIoT platforms and cloud infrastructures, the risk of cyberattacks targeting industrial networks grows sharply. These systems often involve wireless communications, edge devices, and remote connectivity—all potential entry points for cyber threats.

In recent years, industrial control systems have become a prime target for malware and ransomware attacks. Reports indicate that over 30% of industrial firms have experienced some form of operational disruption due to cyber incidents. Connected motor monitoring systems, if not adequately secured, can be exploited to manipulate operational data, disable safety alarms, or halt production.

A major concern is the lack of uniform cybersecurity practices across facilities. Many industrial users rely on legacy systems that lack encryption or proper authentication layers. Additionally, integrating third-party monitoring tools with enterprise networks without proper firewall configurations or segmented architecture increases vulnerability.

Another challenge is maintaining firmware and software updates across thousands of distributed monitoring sensors—especially in remote or harsh environments. In many cases, outdated systems remain unpatched for extended periods, making them easy targets for hackers. Even cloud-based dashboards, while offering convenience, introduce new risks if not supported by robust data access controls and compliance frameworks.

In sectors like utilities or pharmaceuticals, a cyberattack can not only lead to financial loss but also threaten public safety. The growing reliance on remote monitoring and edge computing only increases the threat surface. Without strong cybersecurity protocols, IT-OT collaboration, and regular audits, the growing digitalization of motor monitoring becomes a double-edged sword, hindering rather than supporting market adoption.

Key Market Trends

Transition Toward Cloud-Based and Edge Analytics Solutions

Another major trend reshaping the global motor monitoring market is the shift toward cloud-based platforms and edge analytics. As industries digitize their operations, they are increasingly relying on cloud-enabled monitoring solutions for scalable, centralized, and accessible motor performance tracking.

Cloud-based systems offer several advantages: they reduce the need for on-premises servers, provide remote access across global locations, and enable real-time dashboards and collaboration. Maintenance teams, regardless of location, can receive alerts, view performance trends, and manage reports through smartphones or laptops. This capability is especially valuable for companies operating across multiple facilities or in remote, hazardous environments.

Edge analytics complements cloud computing by processing data locally—at or near the sensor—before transmitting it to the cloud. This reduces bandwidth usage and minimizes latency, which is critical for motors in high-speed production lines. Edge devices can analyze data such as vibration, current, and voltage in real-time, triggering local alarms or initiating emergency shutdowns when necessary.

The integration of both technologies allows a hybrid model: real-time, local decision-making at the edge, combined with long-term trend analysis and machine learning in the cloud. This architecture supports predictive maintenance, reduces failure response time, and allows historical data archiving without overwhelming network resources.

Cloud and edge capabilities also facilitate secure data sharing with OEMs or third-party service providers, enabling better aftersales support and remote diagnostics. As 5G and industrial Wi-Fi become more widespread, the adoption of cloud-edge solutions in motor monitoring will accelerate, enhancing both operational visibility and system resilience.

Rising Adoption of Wireless and Sensorless Monitoring Technologies

The motor monitoring market is witnessing a growing trend toward wireless and sensorless technologies, driven by demand for flexible, non-invasive, and cost-effective monitoring solutions. These innovations address some of the limitations of traditional wired systems, especially in retrofit and remote industrial environments.

Wireless sensor technologies—such as vibration, temperature, and power sensors—offer a simplified installation process and reduce the cost and complexity associated with running cables through industrial plants. These systems are particularly effective in hazardous areas or moving equipment where wired setups are impractical. Many wireless monitoring solutions now support long-range communication protocols like LoRaWAN, Zigbee, and Bluetooth Low Energy (BLE), enabling reliable transmission over several hundred meters.

Meanwhile, sensorless monitoring techniques use motor control signals and electrical measurements (like stator current or voltage) to estimate mechanical and thermal behavior without needing external sensors. Advanced algorithms can extract data from variable frequency drives (VFDs) to predict faults such as bearing wear or rotor eccentricity.

These innovations allow for scalable deployment across large motor fleets, particularly in older plants where installing physical sensors on every motor is not feasible. Additionally, battery-powered wireless sensors now last up to 5–10 years, reducing maintenance needs and ensuring continuous data collection.

The growing compatibility of wireless monitoring systems with IIoT platforms and mobile apps is also enhancing field usability and data visualization. As industries aim to digitize their asset monitoring without incurring high costs, the adoption of wireless and sensorless technologies is emerging as a key enabler.

Emphasis on Sustainability and Energy Management

As sustainability becomes a strategic priority across industries, the motor monitoring market is increasingly shaped by trends related to energy efficiency, carbon footprint reduction, and environmental compliance. Electric motors consume nearly 70% of industrial electricity, making them prime targets for efficiency improvements through advanced monitoring.

Modern motor monitoring systems now include modules that analyze power factor, load variations, harmonics, and idle running times. These insights allow maintenance teams to identify underperforming motors, detect energy losses, and optimize system performance. Companies can save 5–20% on energy costs by monitoring and adjusting motor usage based on real-time load and operating conditions.

Additionally, energy-intensive industries such as cement, steel, and chemicals are under increasing pressure to report energy performance and comply with standards like ISO 50001. Motor monitoring systems generate valuable audit trails and energy reports that aid in regulatory compliance and corporate sustainability reporting.

Some platforms offer energy benchmarking features that compare performance across motors and locations, helping organizations set realistic reduction targets. The push toward net-zero emissions is also encouraging industries to integrate motor monitoring with building management systems (BMS) and energy management software.

Furthermore, governments and regulatory bodies in over 60 countries are introducing subsidies, mandates, or penalties related to energy efficiency and carbon reduction. As a result, companies are viewing motor monitoring not just as a maintenance tool, but as a strategic component of their sustainability initiatives.

The growing alignment between motor monitoring and green goals is expected to deepen, driving investment in eco-efficient and smart monitoring technologies.

Expansion of Application Scope Across New Industry Verticals

While motor monitoring has traditionally been associated with heavy industries such as oil & gas, manufacturing, and utilities, its application is now expanding into new sectors including food & beverage, pharmaceuticals, data centers, logistics, and commercial buildings. This diversification is creating new growth opportunities and shaping product development strategies.

In the food & beverage industry, for example, motors are essential for processing, packaging, and conveying operations. Monitoring systems help ensure hygiene compliance, prevent unscheduled shutdowns, and reduce waste caused by line disruptions. Similarly, in pharmaceuticals, precision and uptime are critical, and motor failures can lead to costly product losses or regulatory violations.

Data centers are another emerging sector where HVAC, cooling fans, and pumps rely heavily on motors. With growing emphasis on uptime and energy efficiency, these facilities are adopting motor monitoring to ensure uninterrupted operation and optimize energy consumption.

In the logistics sector, automated warehouses and conveyor-driven distribution centers use thousands of motors that need condition-based monitoring to avoid bottlenecks. Even in commercial buildings, motors used in elevators, escalators, and HVAC systems are being monitored to improve building performance and reduce maintenance costs.

This diversification is prompting motor monitoring vendors to develop industry-specific solutions with tailored dashboards, compliance features, and integration capabilities. For example, pharmaceutical-grade monitoring systems must adhere to 21 CFR Part 11 standards, while those used in food processing must comply with HACCP guidelines.

As digital transformation spreads across sectors, the motor monitoring market is no longer confined to traditional verticals. Its expansion into new industries is creating broader awareness, accelerating innovation, and redefining how organizations approach asset health and performance.

Segmental Insights

Offering Insights

Hardware segment dominated in the Global Motor Monitoring market in 2024 due to its foundational role in capturing real-time data from motors and other rotating equipment. Hardware components such as vibration sensors, current transducers, thermal sensors, and data acquisition modules form the core infrastructure of any motor monitoring system. These devices are essential for detecting mechanical, thermal, and electrical anomalies that may lead to motor failure.

One of the primary reasons for this dominance is the increasing adoption of condition-based and predictive maintenance strategies across industries. To enable these strategies, accurate and continuous data collection from motors is critical—something only possible through reliable hardware installations. With the proliferation of Industrial Internet of Things (IIoT) frameworks, industries are investing in intelligent sensors that can be mounted directly onto motors and connected via wired or wireless networks.

Moreover, industries such as oil & gas, power generation, and manufacturing require high-precision, ruggedized hardware capable of functioning in extreme environments—driving demand for durable sensors and monitoring instruments. Advanced vibration and temperature sensors now offer real-time diagnostics at the component level, improving fault detection accuracy and motor longevity.

Retrofitting legacy systems is another driver. In facilities with older motors that lack integrated diagnostics, external sensor hardware is the only viable option for digitizing motor health monitoring without replacing the entire motor. This scenario is common in brownfield projects across Asia, Europe, and North America.

Additionally, growing demand for scalable hardware solutions—from compact sensors for small motors to complex multi-sensor arrays for large machinery—fuels continued hardware investment. As the first layer in any motor monitoring system, hardware remains indispensable. While software and cloud platforms are gaining attention, the hardware segment leads in 2024 due to its irreplaceable role in enabling effective, real-time motor monitoring across a wide range of industries.

Monitoring Process Insights

Online Monitoring segment dominated the Global Motor Monitoring market in 2024 due to its ability to provide real-time, continuous data on motor health and performance. Unlike offline methods, online systems detect early signs of failure—such as abnormal vibrations, temperature rises, or electrical imbalances—without interrupting operations. This enables predictive maintenance, reduces unplanned downtime, and enhances asset reliability. Industries with critical operations, such as power generation, oil & gas, and manufacturing, heavily rely on online monitoring to prevent costly failures. Its integration with IIoT platforms, remote access features, and compatibility with cloud analytics further drive its widespread adoption.

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Regional Insights

Largest Region

North America dominated the Global Motor Monitoring market in 2024 due to a combination of advanced industrial infrastructure, high adoption of predictive maintenance practices, and strong presence of leading motor monitoring solution providers. The region’s mature manufacturing, oil & gas, power generation, and automotive sectors are heavily dependent on rotating equipment, driving significant demand for motor health monitoring to ensure operational continuity and efficiency.

One of the key factors contributing to North America’s dominance is the widespread implementation of Industry 4.0 and IIoT technologies. Companies across the United States and Canada are leveraging sensor-based and cloud-integrated monitoring systems to transition from reactive to predictive maintenance strategies. Real-time monitoring is increasingly used to avoid costly downtime, especially in critical operations like refineries, water treatment plants, and power utilities.

The region also benefits from a well-established ecosystem of OEMs, automation vendors, and tech companies, including General Electric, Honeywell, Rockwell Automation, Emerson Electric, and National Instruments. These players continuously invest in innovation and offer integrated solutions that combine hardware, software, and analytics platforms tailored for industrial motor applications.

Furthermore, favorable regulatory policies and energy efficiency mandates—such as those enforced by the U.S. Department of Energy (DOE) and Environment Canada—are encouraging industries to deploy advanced motor monitoring systems to reduce energy consumption and emissions. North American industries are also early adopters of AI-driven diagnostics and cloud-based monitoring platforms that enhance equipment reliability and enable remote troubleshooting.

Additionally, North America has a skilled workforce and strong digital infrastructure, allowing seamless deployment and integration of smart monitoring technologies. The presence of well-funded R&D programs and strategic government initiatives supporting digital transformation across sectors further amplifies regional growth. Combined, these factors position North America as the leading region in the global motor monitoring market in 2024.

Emerging Region

Europe was the emerging region in the Global Motor Monitoring market in the coming period due to increasing industrial automation, strict energy efficiency regulations, and a strong focus on sustainability. The EU’s push toward carbon neutrality and directives like the Ecodesign Regulation are encouraging industries to adopt motor monitoring systems to reduce energy waste. Additionally, sectors such as manufacturing, automotive, and renewable energy are investing in predictive maintenance to enhance productivity and reduce downtime. The region’s growing adoption of IIoT, coupled with advancements in smart sensor technology and digital infrastructure, further supports Europe's rapid growth in the motor monitoring landscape.

Recent Developments

• In May 2023, OMRON Corporation launched its advanced K7DD-PQ Series motor condition monitoring devices globally in April 2023, following an initial release in Japan in March. Designed to automate on-site diagnostics, the K7DD-PQ tracks motor wear and deterioration trends in servomotors and machine tools. This innovation reduces manual inspection efforts and supports predictive maintenance strategies, aligning with OMRON’s broader initiative to automate industrial monitoring processes and minimize unexpected equipment downtime.
• In April 2023, Siemens Smart Infrastructure enhanced its NXpower Monitor platform by integrating Samotics’ electrical signature analysis (ESA) technology. Leveraging AI and machine learning, this integration delivers real-time insights on AC motors and rotating equipment. Part of the Siemens Xcelerator ecosystem, the upgrade enables predictive maintenance, reduces energy waste, and minimizes unplanned downtime across electrical networks. It enhances asset visibility, optimizes operational performance, and supports customers in accelerating their digital transformation and achieving energy efficiency goals.
• In July 2024, Valeo and Seeing Machines entered a strategic partnership to strengthen their presence in the driver and occupant monitoring systems (OMS) market. The collaboration combines Valeo’s automotive expertise with Seeing Machines’ AI-powered computer vision technology to enhance safety and situational awareness in transport. This alliance supports the growing demand for intelligent in-vehicle monitoring systems, positioning both firms to lead in next-generation automotive safety and compliance with emerging regulatory requirements.
• In January 2024, OMRON enhanced its smart maintenance portfolio with the K7DD-PQ Series, offering AI-based diagnostics for motor condition monitoring. Capable of analyzing over 400 feature values from current and voltage signals, the K7DD-PQ detects specific motor faults such as worn blades and bearing deterioration. This system replaces reliance on operator intuition with data-driven insights, reducing inspection complexity and preventing unexpected downtime, while enabling manufacturers to improve asset reliability and streamline maintenance planning.

Key Market Players

• ABB Ltd. 
• Siemens AG
• General Electric
• Schneider Electric
• Rockwell Automation
• Emerson Electric Co.
• Honeywell International Inc.
• Mitsubishi Electric Corporation
• Nidec Corporation
• Bosch Rexroth AG 

Report Scope:

In this report, the Global Motor Monitoring Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:

•  Motor Monitoring Market, By Offering:

o   Hardware

o   Software

o   Services

• Motor Monitoring Market, By Monitoring Process:

o   Online Monitoring

o   Offline Monitoring

• Motor Monitoring Market, By End-Use Industry:

o   Oil & Gas

o   Power Generation

o   Water & Wastewater

o   Metals & Mining

o   Others

• Motor Monitoring Market, By Region:

o   North America

§  United States

§  Canada

§  Mexico

o   Europe

§  Germany

§  France

§  United Kingdom

§  Italy

§  Spain

o   South America

§  Brazil

§  Argentina

§  Colombia

o   Asia-Pacific

§  China

§  India

§  Japan

§  South Korea

§  Australia

o   Middle East & Africa

§  Saudi Arabia

§  UAE

§  South Africa

Competitive Landscape

Company Profiles: Detailed analysis of the major companies present in the Global Motor Monitoring Market.

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Company Information

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