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Machine Condition Monitoring Market is seeing strong growth at a CAGR of 8.2%, North America leads the market with 37.5% of market share.

01-14-2026 10:22 AM CET | IT, New Media & Software

Press release from: DataM intelligence 4 Market Research LLP

Machine condition monitoring

Machine condition monitoring

The Global Machine Condition Monitoring Market is projected to witness lucrative growth by reaching at a CAGR of 8.2% during the forecast period (2024-2031).

DataM Intelligence unveils its latest report on the "Machine Condition Monitoring Market size 2025," offering an in-depth analysis of market trends, growth drivers, competitive landscape, and regional dynamics. The study covers market size in value and volume, CAGR forecasts, and emerging opportunities that can guide businesses in seizing growth potential and crafting winning strategies. Packed with data-driven insights on current developments and future trends, this report is essential for companies aiming to stay ahead in the competitive Market.

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United States: Key Industry Developments (2025)

✅ June 2025: Emerson Electric unveiled Plantweb Insight 2.0, an AI-driven asset condition monitoring platform that delivers real-time health analytics across industrial equipment, enhancing predictive maintenance at scale.

✅ May 2025: Arduino introduced the Rileva ME Opta Bundle, an industrial automation package supporting anomaly detection and predictive maintenance across motors, pumps, and compressors with comprehensive condition monitoring capabilities.

✅ March 2025: Schneider Electric launched EcoStruxure Asset Advisor 2.0 featuring enhanced AI-powered analytics and cloud-based condition-based monitoring (CBM) for proactive asset health insights in manufacturing and critical infrastructure.

✅ January 2025: Fluke Corporation released the Fluke Condition Monitoring Suite, a high-channel vibration analysis and motor current signature analysis tool designed for real-time equipment health monitoring in industrial settings.

Japan: Key Industry Developments (2025)

✅ June 2025: Yokogawa Electric Corporation introduced Release 7.01 of its integrated production control system (CENTUMTM VP), enhancing industrial automation with advanced machine monitoring and tighter integration for predictive diagnostics.

✅ March 2025: TDK Corporation launched SensEI edgeRX, an advanced industrial maintenance solution focused on real-time machine health monitoring that supports edge computing and predictive maintenance workflows.

✅ January 2025: Rockwell Automation (Japan) announced a strategic partnership with SKF to integrate SKF's vibration-based machine health monitoring into Rockwell's FactoryTalk and PlantPAx platforms for end-to-end condition monitoring.

📌 Machine Condition Monitoring Market 2025-26 M&A Deals

→ In July 2025, Siemens AG and Bosch collaborated to integrate Bosch's IoT-enabled motor monitoring systems with Siemens' MindSphere platform to offer unified predictive maintenance and condition monitoring solutions across industrial assets.

→ In March 2025, Schneider Electric partnered with Microsoft to co-develop and deploy industrial IoT- and AI-driven condition monitoring solutions integrating EcoStruxure with Azure IoT and analytics.

→ In June 2025, SKF announced a strategic partnership with ABB to co-develop integrated condition monitoring solutions for electric motors and bearing assets combining SKF Enlight analytics with ABB Ability asset management.

→ In June 2025, Rockwell Automation and Yokogawa Electric partnered to deliver interoperable condition monitoring solutions connecting Rockwell's control systems with Yokogawa's sensor networks and analytics for improved real-time health monitoring.

→ In August 2025, Emerson Electric Co. announced a strategic AI-enhancement partnership with a leading artificial intelligence firm to upgrade its predictive maintenance and condition monitoring capabilities.

→ In June 2024, SPM International acquired Status Pro Maschinendiagnostik GmbH (Germany-based condition monitoring specialist) to expand its European machine condition monitoring footprint and service offering.

Market Growth Drivers:-

• One of the most compelling drivers of the MCM market is the shift from reactive to predictive maintenance strategies. As companies face escalating costs from unplanned equipment failures with some reports estimating unplanned downtime costing industrial firms over $50 billion annually condition monitoring has become mission-critical.

• The rise of Industry 4.0 marked by the integration of IoT, cloud analytics, AI, and machine learning is exponentially expanding the utility of condition monitoring solutions.

• Efficiency is a priority for companies under pressure to maximize utilization and minimize waste.

• Recent innovations especially in sensor technology, wireless communications, AI analytics, and cloud platforms are major catalysts for market growth. Modern sensors offer greater accuracy, lower power consumption, and ability to integrate with analytics engines, providing higher value insights for predictive maintenance.

• Integration with enterprise systems such as CMMS (Computerized Maintenance Management Systems) and ERP platforms also enhances data visibility across maintenance and operations teams.

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Machine Condition Monitoring Market Major Players:-

Rockwell Automation, Inc, Baker Hughes Company, Emerson Electric Co, Adlink Technology Inc, Crystal Instruments, Dewesoft d.o.o, SPM Instruments AB, Ixon B.V, and Tulip Interfaces.

Key players highlights:-

Emerson Electric Co. - A global automation and monitoring leader with integrated platforms like AMS/Plantweb; 12% share of the overall condition monitoring ecosystem.
Market share: 12% (largest among named players).

Rockwell Automation, Inc. - Industrial automation player providing FactoryTalk-based condition monitoring and analytics; holds a significant mid-tier share (4%+) in the equipment segment.
Market share: 4% in overall condition monitoring market.

Baker Hughes Company (Bently Nevada) - Focused on rotating equipment protection and asset health with a large installed base of sensors globally; strong presence in energy industries.
Market share: included among key global players (exact % not widely published).

Adlink Technology Inc. - Provides edge computing and data acquisition hardware/software for machine status and condition monitoring solutions across smart manufacturing segments.
Market share: niche/embedded provider (not separately ranked in major share tables).

Crystal Instruments - Specialist in vibration and condition monitoring instrumentation used for real-time diagnostics in industrial environments.

Machine Condition Monitoring Market Regional Highlights

North America
• Holds 37.5% of the global machine condition monitoring market, making it the largest regional share.
• Growth driven by advanced industrial infrastructure and high adoption of IoT/AI-enabled predictive maintenance.
• Strong demand from aerospace, oil & gas, and manufacturing sectors with ongoing smart factory investments.

Europe
• Accounts for 30% of global market share with significant presence in Germany, UK, and France.
• Development propelled by stringent safety/regulatory standards and emphasis on sustainability.
• High uptake in automotive and energy sectors with rising cloud and analytics integrations.

Asia Pacific
• Represents 30% share (fastest-growing region) due to rapid industrialization and manufacturing expansion.
• Strong growth in China, India, Japan from smart factory and IIoT adoption.
• Increasing investments in automation and predictive solutions boosting regional deployments.

Latin America / South America
• Holds 7% of global market share, led by Brazil and Argentina.
• Development tied to modernization of energy, mining, and manufacturing infrastructure.
• Adoption of IoT and predictive maintenance increasing to enhance efficiency

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Machine Condition Monitoring Market Segment Analysis

Component:
The market is segmented into software, hardware, and services. Hardware includes sensors, data acquisition systems, and monitoring devices that collect machine health data, while software enables analytics, visualization, and predictive insights. Services cover installation, calibration, maintenance, and consulting, supporting effective system deployment and performance optimization.

Type:
Machine condition monitoring is offered through online, manual, optical, and web-based systems. Online monitoring provides continuous, real-time condition tracking, while manual monitoring relies on periodic inspections. Optical and web-based systems enhance accuracy and remote accessibility, enabling faster diagnostics and decision-making.

Technique:
Various techniques such as oil analysis, vibration analysis, motor circuit analysis, thermography, and ultrasonic monitoring are widely used to detect early fault signs. Advanced methods like neutron radiography and corrosion monitoring support critical asset inspection. These techniques help reduce downtime by identifying failures before they escalate.

Development Model:
Based on deployment, the market includes cloud-based and on-premises models. Cloud-based solutions offer scalability, remote access, and lower upfront costs, making them attractive for modern industries. On-premises systems provide greater data control and security, preferred in regulated and sensitive operations.

End Users:
End-user industries include renewable energy, mining, additive manufacturing, aerospace, automotive, electronics, and oil & gas. These sectors rely on condition monitoring to improve asset reliability, ensure operational safety, and minimize unplanned shutdowns. Growing automation further drives adoption across industries.

Machine Condition Monitoring Market - FAQs

Q1: What is driving growth in the Machine Condition Monitoring Market?
A: Growth is driven by predictive maintenance adoption, Industry 4.0 integration, and the need to reduce unplanned downtime.

Q2: Which industries are the major adopters of Machine Condition Monitoring Market solutions?
A: Key adopters include manufacturing, energy & utilities, oil & gas, automotive, and aerospace industries.

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