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Structural health monitoring (SHM) is transforming the way critical infrastructure and industrial assets are managed, offering unrivaled visibility into structural condition, predictive maintenance, and risk mitigation. As technology reshapes competitive priorities, SHM adoption becomes essential for organizations seeking operational reliability and longevity.
Market Snapshot: Structural Health Monitoring Market Size & Growth
The global structural health monitoring market grew from USD 4.72 billion in 2024 to USD 5.31 billion in 2025, and is projected to reach USD 12.73 billion by 2032 at a CAGR of 13.20%. Over this period, demand is driven by the expansion of digital infrastructure strategies and a proactive approach to asset management across sectors.
Scope & Segmentation of the Structural Health Monitoring Market
This report examines the structural health monitoring market by segmenting offerings, technologies, applications, end users, and geographic regions.
- Offering: Accelerometers, Displacement Sensors, Inclinometers & Tiltmeters, Sensors, Strain Gauges, Post-Installation Services, Pre-Installation Services, Data Management Software, Predictive Maintenance Software
- Monitoring Approach: Active Monitoring, Passive Monitoring
- Technology: Wired, Wireless
- Application: Airframes & Wind Turbines, Bridges & Dams, Buildings & Stadiums, Large Machines & Equipment
- End User: Aerospace & Defence, Energy, Infrastructure, Mining
- Region: United States, Canada, Mexico, Brazil, Argentina, Chile, Colombia, Peru, United Kingdom, Germany, France, Russia, Italy, Spain, Netherlands, Sweden, Poland, Switzerland, United Arab Emirates, Saudi Arabia, Qatar, Turkey, Israel, South Africa, Nigeria, Egypt, Kenya, China, India, Japan, Australia, South Korea, Indonesia, Thailand, Malaysia, Singapore, Taiwan
- Leading Companies: Hottinger Brüel & Kjaer GmbH, James Fisher and Sons PLC, Acellent Technologies Inc., AVT Reliability Ltd., Beanair GmbH, Bridge Diagnostics, Campbell Scientific, Inc., COWI A/S, ElastiSense, FEAC Engineering P.C., First Sensor AG by TE Connectivity Ltd., Geocomp, Inc., Geokon, Infibra Technologies Srl, KDM Engineers [India] Pvt. Ltd., Kinemetrics, Inc., National Instruments by Emerson Electric Co, Nova Ventures Group Corp., Rst Instruments Ltd., Sensuron LLC, Setpoint Technologies Ltd., SGS S.A., SHM Canada Consulting Limited, Siemens AG, Sisgeo Srl, SITES AFLA (Pty) Ltd., Sixense Group, Sodis Lab, Somni Solutions, Xylem Inc.
Key Takeaways: Actionable Insights for Senior Decision-Makers
- SHM provides a proactive means for asset owners to detect anomalies early, replacing reactive maintenance with data-driven, predictive models.
- Sensor miniaturization, wireless networks, and advanced analytics enable flexible deployment and real-time condition assessment, even in complex environments.
- Digital twins and edge computing streamline scenario simulation and reduce data latency, improving early-warning capabilities and system scalability.
- Industry partnerships and modular hardware designs support rapid system integration and help organizations respond to changing operational priorities.
- Increasing regulatory and sustainability mandates are elevating the need for platforms that combine real-time data with lifecycle management benefits.
Tariff Impact on Structural Health Monitoring Supply Chain
The 2025 United States tariffs have driven industry participants to reevaluate global supply chain strategies. Stakeholders are allocating resources to nearshoring options, modular product designs, and regional support centers to address potential price fluctuations and component accessibility. This shift encourages innovation in sensor manufacturing, reducing import dependency and strengthening overall supply chain resilience.
Methodology & Data Sources for Structural Health Monitoring Market Research
This report employs a robust methodology featuring secondary research of technical literature, regulations, and patents, combined with primary interviews of industry experts and executives. Data validation leverages triangulation against public disclosures, supported by peer reviews and iterative feedback from domain specialists.
Why This Structural Health Monitoring Report Matters
- Enables executives to align their asset management and maintenance strategies with emerging SHM technologies for competitive advantage.
- Supports risk mitigation by clarifying the operational impact of regulatory trends and global supply chain changes.
Conclusion
Comprehensive insights into the structural health monitoring market equip decision-makers with the intelligence needed for informed, future-focused strategies. As industry dynamics continue to shift, organizations can proactively adapt and enhance asset lifetime value through advanced monitoring initiatives.
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- Purchase of this report includes 1 year online access with quarterly updates.
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Table of Contents
3. Executive Summary
4. Market Overview
7. Cumulative Impact of Artificial Intelligence 2025
List of Figures
Samples
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Companies Mentioned
The key companies profiled in this Structural Health Monitoring market report include:- Hottinger Brüel & Kjaer GmbH
- James Fisher and Sons PLC
- Acellent Technologies Inc.
- AVT Reliability Ltd.
- Beanair GmbH
- Bridge Diagnostics
- Campbell Scientific, Inc.
- COWI A/S
- ElastiSense
- FEAC Engineering P.C.
- First Sensor AG by TE Connectivity Ltd.
- Geocomp, Inc.
- Geokon
- Infibra Technologies Srl
- KDM Engineers [India] Pvt. Ltd.
- Kinemetrics, Inc.
- National Instruments by Emerson Electric Co
- Nova Ventures Group Corp.
- Rst Instruments Ltd.
- Sensuron LLC
- Setpoint Technologies Ltd.
- SGS S.A.
- SHM Canada Consulting Limited
- Siemens AG
- Sisgeo Srl
- SITES AFLA (Pty) Ltd.
- Sixense Group
- Sodis Lab
- Somni Solutions
- Xylem Inc.
Table Information
Report Attribute | Details |
---|---|
No. of Pages | 193 |
Published | October 2025 |
Forecast Period | 2025 - 2032 |
Estimated Market Value ( USD | $ 5.31 Billion |
Forecasted Market Value ( USD | $ 12.73 Billion |
Compound Annual Growth Rate | 13.2% |
Regions Covered | Global |
No. of Companies Mentioned | 31 |