The Global Structural Health Monitoring Market, By Type (Wired and Wireless SHM System), By Component (Hardware (Sensors, Data Acquisition System and Others), Software (Design & Analysis, Parameter Identification & Tracking and Others ) and Services (Installation Services ,Design & Consulting Service, Operation & Maintenance Services)), By Application (Bridges & Dams, Buildings & Stadiums, Vessels & Platforms, Airframes & Wind Turbines and Large Machinery & Equipment), and by Region (North America, Latin America, Europe, APAC and Middle East & Africa) - Global Forecast to 2027”, is expected to be valued at US$ 6,654 million by 2027, exhibiting a CAGR of 14.0 % during the forecast period (2019-2027), as highlighted in a report published by Coherent Market Insights.
Structural health monitoring (SHM) is the process of employing a damage detection and classification strategy for engineering structures such as dams, buildings, and bridges. In other words, it is the practice of acquiring knowledge of the integrity of the in-service structures on a constant real-time basis. The SHM practice involves the observation of a system over time utilizing periodically sampled response measurements from an array of sensors. There are different processes involved in SHM namely operational evaluation, data acquisition, normalization, and cleansing, feature extraction and data compression, and statistical model development. SHM system’s elements include structure, sensors, data acquisition systems, data transfer and storage mechanism, data management, and data interpretation and diagnosis.
The global structural health monitoring market was valued for US$ 2,328 Mn in 2019 is expected to exhibit a CAGR of 14.0 % during the forecast period.
Growing advancements in wireless technology are expected to boost the global structural health monitoring market growth during the forecast period
Wireless solutions reduce installation costs and sensor installation time. These solutions also enhance the safety levels as they can be configured remotely or before installation and accessed or replaced easily for calibration and maintenance. Moreover, ease of connectivity, ample control over these systems, and enhanced communication are expected to propel growth of the global structural health market over the forecast period. For instance, ZigBee is a low-cost, low-power consuming, wireless mesh network system. Low cost allows the technology to be widely deployed in wireless control and monitoring applications. Low power-usage allows longer life with smaller batteries, while mesh networking provides high reliability and a more extensive range of connectivity. Moreover, constantly fluctuating crude oil prices and expected oil production peak of current reservoirs are encouraging oil companies to increase investment in seismic exploration programs. Replacement of cabling with wireless technology is expected to enhance the quality of depth imaging and simplify acquisition logistics. Furthermore, technological advancements Wireless Sensor Networks (WSN) fulfill rigid constraints imposed by seismic acquisition systems, which have a large number of sensors (> 10,000) over the monitoring area (> 5 km2).
High growth of MEM-based sensors across different applications is expected to present major growth opportunities in the near future
Adoption of Micro-Electro-Mechanical (MEM)-based sensors across various applications such as nuclear plants, dams, large wind turbines, and pipelines has increased significantly in the recent past. This is owing to ensure safety and integrity of the said structures. Furthermore, the oil & gas industry is focused on using sensors in some of the most challenging and harsh environments, in order to perform precise and repeatable measurements. For instance, in April 2016, CEKO Sensors Aps deployed an optical MEMS-based monitoring system on a Vestas V52 wind turbine, where the system will monitor vibrations from turbines using a frequency modulated method known as refractive index modulation.
Challenges associated with implementation of SHO solution to massive structures are expected to hamper the global structural health monitoring market growth over the forecast period
Employing SHM solutions in various structures is complicated and cumbersome due to varying sizes and shapes of structures. A single structural health monitoring system is not suitable for the entire range of applications and differs based on materials, components, geometrics and damage scenarios. Moreover, sensors are required to be reliable, robust, and durable, as any damage or breakdown to the senor could affect the purpose of the whole system. These factors, in turn, are expected to hinder adoption of SHM systems and restrain growth of the global structural health monitoring market in the near future.
Increased focus on DAQ platforms enhancements for SHM systems
Key hardware manufacturers in the region are focused on enhancing DAQ platforms for SHM systems. For instance, in August 2016, National Instruments Corporation introduced compactRIO platform, which is an advanced embedded data acquisition and control system, which enhances the performance and reliability of monitoring systems. Furthermore, in March 2014, Bridge Diagnostic Inc. introduced STS4 wireless data acquisition system, which is used to test integrity of various structures.
Growing focus on enhancing SHM solution portfolio
Local market players in the region are focused on enhancing the SHM solution portfolio, in order to expand consumer base and gain competitive edge in the regional market. For instance, February 2015, Condoza Software Solutions Corp. (CSSC), a Philippines-based software company, announced plans to enhance presence in ASEAN market countries and monitoring-based solutions, which gathers and offers critical data in real regarding ground movement, peak ground acceleration, GPS data, displacement, and velocity as events trigger the sensors. Moreover, in 2015, National ICT Australia Ltd. (NICTA), an Australia-based research center for information and communication technology, developed a monitoring system for the Sydney Harbour Bridge, where it installed over 2,000 sensors, and machine learning-based predictive analytics assesses data continuously and provides early warning of possible problems.
Key players operating in the global structural health monitoring market are Nova Metrix LLC, National Instruments Corporation, Kinemetrics Inc., Advitam Inc. (Vinci SA), Hottinger Baldwin Messtechnik GmbH, Digitexx Data Systems, Inc., Geocomp Corporation, Acellent Technologies, Inc., Strainstall UK Limited (James Fisher & Sons PLC), and COWI A/S.
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