+353-1-416-8900REST OF WORLD
+44-20-3973-8888REST OF WORLD
1-917-300-0470EAST COAST U.S
1-800-526-8630U.S. (TOLL FREE)

Structural Health Monitoring Market - Global Industry Size, Share, Trends, Opportunity and Forecast, 2019-2029F

  • PDF Icon

    Report

  • 181 Pages
  • June 2024
  • Region: Global
  • TechSci Research
  • ID: 5979732
Free Webex Call
10% Free customization
Free Webex Call

Speak directly to the analyst to clarify any post sales queries you may have.

10% Free customization

This report comes with 10% free customization, enabling you to add data that meets your specific business needs.

The Global Structural Health Monitoring Market witnessed a valuation of USD 2.0 Billion in 2023 and is poised for robust growth, projecting a Compound Annual Growth Rate (CAGR) of 14.6% through 2029. The Structural Health Monitoring (SHM) market encompasses a specialized segment within the broader field of civil engineering and infrastructure management, focusing on the continuous assessment and monitoring of structural integrity and performance over time. SHM systems utilize various sensors, data acquisition techniques, and analytical tools to detect, evaluate, and predict the structural health of buildings, bridges, dams, tunnels, and other critical infrastructure assets. Key components of SHM systems include sensors capable of measuring parameters such as strain, displacement, temperature, vibration, and corrosion. These sensors are strategically installed within or on structures to capture real-time data on structural behavior and environmental conditions. Data acquisition units collect and transmit sensor data to centralized processing systems, where advanced algorithms and analytical tools analyze the information to assess the structural health status and identify potential issues or anomalies.

Key Market Drivers:

Increasing Emphasis on Infrastructure Safety and Resilience:

One of the primary drivers propelling the global Structural Health Monitoring (SHM) market is the heightened focus on enhancing infrastructure safety and resilience worldwide. Aging civil structures such as bridges, dams, highways, and buildings require continuous monitoring to assess their structural integrity and mitigate risks associated with potential failures. Governments, engineering firms, and infrastructure operators are increasingly investing in advanced SHM systems to monitor critical assets in real time. These systems provide valuable data on structural conditions, enabling proactive maintenance and timely interventions to prevent catastrophic events.

The emphasis on infrastructure safety is driven by growing urbanization, population density in urban centers, and the need to protect public safety. Major incidents like bridge collapses and infrastructure failures underscore the critical importance of implementing robust SHM solutions. By deploying advanced sensors, monitoring technologies, and data analytics, stakeholders can ensure early detection of structural issues, optimize maintenance schedules, and extend the lifespan of infrastructure assets.

Regulatory frameworks and standards mandate periodic inspections and assessments of infrastructure assets to comply with safety regulations. SHM technologies play a pivotal role in meeting these requirements by providing accurate and reliable data for informed decision-making. As governments worldwide prioritize infrastructure resilience against natural disasters, climate change impacts, and aging infrastructure, the demand for comprehensive SHM solutions continues to grow, driving market expansion.

Advancements in Sensor Technologies and IoT Integration:

The evolution of sensor technologies and the integration of Internet of Things (IoT) capabilities are significant drivers shaping the global SHM market. Sensors play a crucial role in monitoring structural behavior by capturing real-time data on parameters such as strain, temperature, vibration, and corrosion. Recent advancements in sensor miniaturization, wireless communication, and energy efficiency have enabled the deployment of sensors in challenging environments and remote locations, expanding the scope of SHM applications.

IoT integration enhances SHM systems by enabling seamless connectivity and data exchange between sensors, cloud platforms, and decision-making tools. IoT-enabled SHM solutions facilitate continuous monitoring, predictive analytics, and remote access to critical infrastructure data. This capability allows stakeholders to detect anomalies, predict potential failures, and optimize maintenance strategies proactively.

The proliferation of smart infrastructure initiatives, smart cities, and digital transformation in industries such as construction and transportation drive the adoption of IoT-enabled SHM solutions. These solutions enable real-time monitoring of infrastructure health, improve operational efficiency, and support data-driven decision-making for asset management and lifecycle planning. As organizations seek to leverage IoT technologies to enhance infrastructure performance and reliability, the demand for advanced SHM solutions equipped with sensor networks and IoT capabilities continues to rise.

Growing Investments in Infrastructure Development:

Increasing investments in infrastructure development projects worldwide are driving demand for Structural Health Monitoring (SHM) solutions. Governments, private sector entities, and international organizations are allocating significant budgets to modernize aging infrastructure, build new assets, and improve resilience against natural disasters and climate change impacts. SHM systems play a crucial role in ensuring the long-term durability, safety, and operational efficiency of these infrastructure investments.

Major infrastructure projects such as bridges, tunnels, railways, airports, and buildings require comprehensive monitoring to assess structural health, monitor construction phases, and validate design assumptions. SHM technologies provide stakeholders with valuable insights into structural performance, enabling proactive maintenance, timely repairs, and efficient project management. By integrating SHM into infrastructure projects from inception to operation, stakeholders can mitigate risks, optimize resource allocation, and ensure compliance with regulatory standards.

Investments in smart cities and sustainable infrastructure initiatives emphasize the importance of monitoring urban infrastructure assets in real time. SHM solutions equipped with advanced sensors, data analytics, and predictive modeling capabilities support smart city goals by enhancing infrastructure resilience, improving service delivery, and minimizing environmental impact. As global infrastructure investments continue to rise, fueled by economic growth, urbanization trends, and environmental challenges, the demand for innovative SHM technologies that enhance infrastructure performance and longevity remains strong.

Key Market Challenges

Complexity and Cost of Implementation:

Implementing SHM systems often involves significant complexities and costs. Installing sensors, establishing data acquisition systems, and integrating monitoring software into existing infrastructure can be technically challenging and financially demanding. The complexity arises from the diverse types of structures (e.g., bridges, dams, buildings) each requiring tailored monitoring solutions. Moreover, retrofitting older structures with SHM technology adds to the cost and complexity due to accessibility issues and compatibility with existing infrastructure.

Addressing this challenge requires innovative solutions that streamline installation processes, reduce hardware costs, and improve interoperability between different monitoring systems. Collaborations between SHM providers, infrastructure owners, and regulatory bodies are essential to develop standardized guidelines and best practices for cost-effective implementation across diverse infrastructure types.

Data Management and Interpretation:

Managing and interpreting vast amounts of data generated by SHM systems pose significant challenges. Sensors continuously collect data on structural behavior, including vibrations, strain, temperature, and environmental conditions. The sheer volume and variety of data require robust data storage solutions, efficient data transmission protocols, and advanced analytics tools for real-time monitoring and predictive analysis.

Effective data management involves addressing issues such as data fusion from multiple sensors, ensuring data integrity and reliability, and establishing protocols for data privacy and security. Interpreting data to extract actionable insights requires expertise in signal processing, machine learning, and structural engineering, which may be scarce and expensive to deploy.

SHM market players are investing in AI-driven analytics platforms and cloud-based solutions to enhance data processing capabilities and facilitate remote monitoring and analysis. Collaborative efforts among industry stakeholders to develop standardized data formats and protocols will further advance the field and overcome data management challenges.

Key Market Trends

Integration of IoT and AI Technologies:

One of the significant trends shaping the global Structural Health Monitoring market is the integration of Internet of Things (IoT) and Artificial Intelligence (AI) technologies. IoT enables the deployment of sensors and actuators on structures such as bridges, buildings, and dams, collecting real-time data on structural behavior, environmental conditions, and operational parameters. AI algorithms analyze this data to detect anomalies, predict potential failures, and optimize maintenance schedules.

This trend is driven by the need for predictive maintenance and proactive risk management in infrastructure management. By leveraging IoT and AI, stakeholders can enhance decision-making processes, extend asset lifespan, and reduce maintenance costs. Furthermore, advancements in edge computing allow for real-time data processing at the sensor level, enabling immediate response to critical events and minimizing downtime.

Leading companies in the SHM market are developing AI-driven analytics platforms that combine machine learning models with sensor data to provide actionable insights into structural health. These solutions empower engineers and asset managers to implement targeted maintenance strategies, prioritize repairs, and ensure the safety and reliability of infrastructure assets.

As IoT and AI technologies continue to evolve, their integration into SHM systems is expected to drive innovation and efficiency in infrastructure monitoring, making predictive and data-driven maintenance practices standard across the industry.

Adoption of Wireless Sensor Networks:

Another key trend in the global SHM market is the widespread adoption of wireless sensor networks (WSNs) for monitoring structural health. Traditional wired sensor systems are being replaced by WSNs due to their scalability, cost-effectiveness, and ease of installation on existing structures. These networks enable continuous monitoring of structural parameters such as vibrations, strain, temperature, and corrosion without the need for extensive cabling.

The deployment of WSNs enhances data collection capabilities across large-scale infrastructure, providing comprehensive insights into structural performance and condition over time. Advancements in sensor technology, including miniaturization and improved battery life, have facilitated the expansion of WSN applications in harsh and remote environments.

wireless connectivity allows for real-time data transmission to centralized monitoring platforms or cloud-based analytics systems. This capability enables stakeholders to monitor multiple structures simultaneously, detect early signs of deterioration, and implement timely interventions to prevent structural failures.

Leading providers in the SHM market are developing robust WSN solutions integrated with advanced analytics tools for continuous monitoring and predictive maintenance. These systems offer scalability to accommodate complex infrastructure networks and support interoperability with existing monitoring frameworks.

As infrastructure owners and operators seek cost-efficient and scalable monitoring solutions, the adoption of WSNs in the SHM market is expected to grow, driving demand for innovative sensor technologies and data management platforms that optimize asset performance and safety.

Focus on Sustainable and Resilient Infrastructure:

Sustainable and resilient infrastructure development is emerging as a critical trend influencing the SHM market globally. Governments, engineering firms, and infrastructure developers are increasingly prioritizing projects that enhance environmental sustainability, withstand climate change impacts, and improve community resilience.

SHM technologies play a pivotal role in supporting these initiatives by providing insights into the performance and durability of sustainable infrastructure solutions, such as green buildings, renewable energy structures, and resilient urban infrastructure. Monitoring parameters such as structural stability, energy efficiency, and environmental impact enable stakeholders to optimize design criteria, assess long-term sustainability goals, and ensure compliance with green building standards and regulations.

SHM systems contribute to the lifecycle management of sustainable infrastructure by monitoring material degradation, carbon footprint, and operational efficiency. Real-time data analytics facilitate proactive maintenance strategies, resource optimization, and lifecycle cost management, aligning with sustainable development principles and enhancing project outcomes.

Leading SHM providers are integrating environmental sensors, IoT-enabled devices, and predictive analytics into their solutions to support sustainable infrastructure projects. These innovations enable real-time monitoring of environmental conditions, energy consumption patterns, and structural health metrics, empowering stakeholders to make informed decisions that prioritize environmental stewardship and community well-being.

As global initiatives focus on achieving sustainable development goals and building resilient infrastructure, the integration of SHM technologies will continue to expand, driving market growth and innovation in environmental monitoring, energy efficiency, and sustainable urban development.

Segmental Insights

Offering Insights

The Hardware segment held the largest market share in 2023. Hardware components such as sensors, data acquisition systems, and monitoring devices are fundamental to the implementation of structural health monitoring systems. These components play a crucial role in gathering real-time data about the structural integrity, performance, and condition of buildings, bridges, dams, pipelines, and other infrastructure. Sensors embedded in structures detect changes in parameters like strain, vibration, temperature, and corrosion, providing valuable insights into potential structural issues or deterioration. The reliability and accuracy of hardware devices are essential for ensuring the effectiveness of SHM systems. Advanced sensors and monitoring equipment are capable of capturing precise measurements over extended periods, allowing engineers and stakeholders to assess structural behavior and make informed decisions regarding maintenance, repair, or retrofitting strategies. This capability is particularly critical in industries where safety, operational efficiency, and asset longevity are paramount concerns.

The continuous advancements in sensor technology and materials science have enhanced the performance and durability of SHM hardware. Modern sensors are capable of withstanding harsh environmental conditions, including extreme temperatures, corrosive atmospheres, and high-impact environments, without compromising data quality or system reliability. This robustness is crucial for deploying SHM solutions in diverse settings and applications worldwide. Regulatory requirements and industry standards often mandate the installation of SHM hardware in critical infrastructure to ensure compliance with safety guidelines and operational standards. Governments, infrastructure owners, and engineering firms increasingly recognize the value of investing in SHM hardware as part of proactive maintenance and risk management strategies, aiming to minimize downtime, mitigate risks of structural failures, and extend the lifespan of infrastructure assets.

Regional Insights

North America region held largest market share in 2023. North America benefits from a robust infrastructure landscape, comprising a vast network of aging civil structures such as bridges, dams, highways, and buildings. With increasing concerns over infrastructure safety, there is a growing demand for advanced monitoring solutions to assess the structural integrity and mitigate risks associated with potential failures. Structural Health Monitoring systems provide real-time data on structural conditions, enabling timely maintenance and proactive management of infrastructure assets. This capability is particularly critical in North America, where infrastructure resilience and public safety are prioritized.

The region boasts a highly developed technology sector and a strong presence of key industry players specializing in SHM solutions. Companies based in North America, including major providers of sensors, monitoring software, and data analytics services, lead innovations in SHM technology. These innovations include advanced sensor technologies, wireless communication systems, and predictive analytics capabilities that enhance the accuracy and reliability of structural monitoring data.

North America benefits from substantial investments in research and development, supported by collaborations between academic institutions, government agencies, and private enterprises. These partnerships drive technological advancements in SHM, fostering the development of new methodologies, algorithms, and monitoring techniques tailored to address specific challenges in infrastructure monitoring.

Regulatory frameworks in North America promote the adoption of SHM solutions by stipulating stringent safety standards and periodic structural assessments for critical infrastructure. Compliance with these regulations necessitates the deployment of sophisticated monitoring systems that can provide comprehensive insights into structural health and performance. Additionally, the region's proactive approach towards integrating digital technologies, such as Internet of Things (IoT) and cloud computing, into infrastructure monitoring further enhances the capabilities of SHM systems. These technologies enable real-time data collection, analysis, and remote monitoring, empowering asset managers and engineers to make informed decisions and optimize maintenance strategies.

Key Market Players

  • Campbell Scientific, Inc.
  • COWI A/S
  • SGS S.A.
  • Acellent Technologies, Inc.
  • Kinemetrics Inc.
  • Digitexx Data Systems, Inc.
  • RST Instruments Ltd.

Report Scope:

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

Structural Health Monitoring Market, By Offering :

  • Hardware
  • Software
  • Services

Structural Health Monitoring Market, By Technology:

  • Wired
  • Wireless

Structural Health Monitoring Market, By End Use :

  • Civil Infrastructure
  • Aerospace & Defense
  • Energy
  • Mining

Structural Health Monitoring Market, By Region:

  • North America
  • United States
  • Canada
  • Mexico
  • Europe
  • France
  • United Kingdom
  • Italy
  • Germany
  • Spain
  • Belgium
  • Asia-Pacific
  • China
  • India
  • Japan
  • Australia
  • South Korea
  • Indonesia
  • Vietnam
  • South America
  • Brazil
  • Argentina
  • Colombia
  • Chile
  • Peru
  • Middle East & Africa
  • South Africa
  • Saudi Arabia
  • UAE
  • Turkey
  • Israel

Competitive Landscape

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

Available Customizations:

Global Structural Health Monitoring market report with the given market data, the publisher offers customizations according to a company's specific needs. The following customization options are available for the report:

Company Information

  • Detailed analysis and profiling of additional market players (up to five).


This product will be delivered within 1-3 business days.

Table of Contents

1. Product Overview
1.1. Market Definition
1.2. Scope of the Market
1.2.1. Markets Covered
1.2.2. Years Considered for Study
1.2.3. Key Market Segmentations
2. Research Methodology
2.1. Objective of the Study
2.2. Baseline Methodology
2.3. Formulation of the Scope
2.4. Assumptions and Limitations
2.5. Sources of Research
2.5.1. Secondary Research
2.5.2. Primary Research
2.6. Approach for the Market Study
2.6.1. The Bottom-Up Approach
2.6.2. The Top-Down Approach
2.7. Methodology Followed for Calculation of Market Size & Market Shares
2.8. Forecasting Methodology
2.8.1. Data Triangulation & Validation
3. Executive Summary4. Voice of Customer5. Global Structural Health Monitoring Market Overview
6. Global Structural Health Monitoring Market Outlook
6.1. Market Size & Forecast
6.1.1. By Value
6.2. Market Share & Forecast
6.2.1. By Offering (Hardware, Software & Services)
6.2.2. By Technology (Wired, Wireless)
6.2.3. By End Use (Civil Infrastructure, Aerospace & Defense, Energy, Mining)
6.2.4. By Region (North America, Europe, South America, Middle East & Africa, Asia Pacific)
6.3. By Company (2023)
6.4. Market Map
7. North America Structural Health Monitoring Market Outlook
7.1. Market Size & Forecast
7.1.1. By Value
7.2. Market Share & Forecast
7.2.1. By Offering
7.2.2. By Technology
7.2.3. By End Use
7.2.4. By Country
7.3. North America: Country Analysis
7.3.1. United States Structural Health Monitoring Market Outlook
7.3.1.1. Market Size & Forecast
7.3.1.1.1. By Value
7.3.1.2. Market Share & Forecast
7.3.1.2.1. By Offering
7.3.1.2.2. By Technology
7.3.1.2.3. By End Use
7.3.2. Canada Structural Health Monitoring Market Outlook
7.3.2.1. Market Size & Forecast
7.3.2.1.1. By Value
7.3.2.2. Market Share & Forecast
7.3.2.2.1. By Offering
7.3.2.2.2. By Technology
7.3.2.2.3. By End Use
7.3.3. Mexico Structural Health Monitoring Market Outlook
7.3.3.1. Market Size & Forecast
7.3.3.1.1. By Value
7.3.3.2. Market Share & Forecast
7.3.3.2.1. By Offering
7.3.3.2.2. By Technology
7.3.3.2.3. By End Use
8. Europe Structural Health Monitoring Market Outlook
8.1. Market Size & Forecast
8.1.1. By Value
8.2. Market Share & Forecast
8.2.1. By Offering
8.2.2. By Technology
8.2.3. By End Use
8.2.4. By Country
8.3. Europe: Country Analysis
8.3.1. Germany Structural Health Monitoring Market Outlook
8.3.1.1. Market Size & Forecast
8.3.1.1.1. By Value
8.3.1.2. Market Share & Forecast
8.3.1.2.1. By Offering
8.3.1.2.2. By Technology
8.3.1.2.3. By End Use
8.3.2. France Structural Health Monitoring Market Outlook
8.3.2.1. Market Size & Forecast
8.3.2.1.1. By Value
8.3.2.2. Market Share & Forecast
8.3.2.2.1. By Offering
8.3.2.2.2. By Technology
8.3.2.2.3. By End Use
8.3.3. United Kingdom Structural Health Monitoring Market Outlook
8.3.3.1. Market Size & Forecast
8.3.3.1.1. By Value
8.3.3.2. Market Share & Forecast
8.3.3.2.1. By Offering
8.3.3.2.2. By Technology
8.3.3.2.3. By End Use
8.3.4. Italy Structural Health Monitoring Market Outlook
8.3.4.1. Market Size & Forecast
8.3.4.1.1. By Value
8.3.4.2. Market Share & Forecast
8.3.4.2.1. By Offering
8.3.4.2.2. By Technology
8.3.4.2.3. By End Use
8.3.5. Spain Structural Health Monitoring Market Outlook
8.3.5.1. Market Size & Forecast
8.3.5.1.1. By Value
8.3.5.2. Market Share & Forecast
8.3.5.2.1. By Offering
8.3.5.2.2. By Technology
8.3.5.2.3. By End Use
8.3.6. Belgium Structural Health Monitoring Market Outlook
8.3.6.1. Market Size & Forecast
8.3.6.1.1. By Value
8.3.6.2. Market Share & Forecast
8.3.6.2.1. By Offering
8.3.6.2.2. By Technology
8.3.6.2.3. By End Use
9. South America Structural Health Monitoring Market Outlook
9.1. Market Size & Forecast
9.1.1. By Value
9.2. Market Share & Forecast
9.2.1. By Offering
9.2.2. By Technology
9.2.3. By End Use
9.2.4. By Country
9.3. South America: Country Analysis
9.3.1. Brazil Structural Health Monitoring Market Outlook
9.3.1.1. Market Size & Forecast
9.3.1.1.1. By Value
9.3.1.2. Market Share & Forecast
9.3.1.2.1. By Offering
9.3.1.2.2. By Technology
9.3.1.2.3. By End Use
9.3.2. Colombia Structural Health Monitoring Market Outlook
9.3.2.1. Market Size & Forecast
9.3.2.1.1. By Value
9.3.2.2. Market Share & Forecast
9.3.2.2.1. By Offering
9.3.2.2.2. By Technology
9.3.2.2.3. By End Use
9.3.3. Argentina Structural Health Monitoring Market Outlook
9.3.3.1. Market Size & Forecast
9.3.3.1.1. By Value
9.3.3.2. Market Share & Forecast
9.3.3.2.1. By Offering
9.3.3.2.2. By Technology
9.3.3.2.3. By End Use
9.3.4. Chile Structural Health Monitoring Market Outlook
9.3.4.1. Market Size & Forecast
9.3.4.1.1. By Value
9.3.4.2. Market Share & Forecast
9.3.4.2.1. By Offering
9.3.4.2.2. By Technology
9.3.4.2.3. By End Use
9.3.5. Peru Structural Health Monitoring Market Outlook
9.3.5.1. Market Size & Forecast
9.3.5.1.1. By Value
9.3.5.2. Market Share & Forecast
9.3.5.2.1. By Offering
9.3.5.2.2. By Technology
9.3.5.2.3. By End Use
10. Middle East & Africa Structural Health Monitoring Market Outlook
10.1. Market Size & Forecast
10.1.1. By Value
10.2. Market Share & Forecast
10.2.1. By Offering
10.2.2. By Technology
10.2.3. By End Use
10.2.4. By Country
10.3. Middle East & Africa: Country Analysis
10.3.1. Saudi Arabia Structural Health Monitoring Market Outlook
10.3.1.1. Market Size & Forecast
10.3.1.1.1. By Value
10.3.1.2. Market Share & Forecast
10.3.1.2.1. By Offering
10.3.1.2.2. By Technology
10.3.1.2.3. By End Use
10.3.2. UAE Structural Health Monitoring Market Outlook
10.3.2.1. Market Size & Forecast
10.3.2.1.1. By Value
10.3.2.2. Market Share & Forecast
10.3.2.2.1. By Offering
10.3.2.2.2. By Technology
10.3.2.2.3. By End Use
10.3.3. South Africa Structural Health Monitoring Market Outlook
10.3.3.1. Market Size & Forecast
10.3.3.1.1. By Value
10.3.3.2. Market Share & Forecast
10.3.3.2.1. By Offering
10.3.3.2.2. By Technology
10.3.3.2.3. By End Use
10.3.4. Turkey Structural Health Monitoring Market Outlook
10.3.4.1. Market Size & Forecast
10.3.4.1.1. By Value
10.3.4.2. Market Share & Forecast
10.3.4.2.1. By Offering
10.3.4.2.2. By Technology
10.3.4.2.3. By End Use
10.3.5. Israel Structural Health Monitoring Market Outlook
10.3.5.1. Market Size & Forecast
10.3.5.1.1. By Value
10.3.5.2. Market Share & Forecast
10.3.5.2.1. By Offering
10.3.5.2.2. By Technology
10.3.5.2.3. By End Use
11. Asia Pacific Structural Health Monitoring Market Outlook
11.1. Market Size & Forecast
11.1.1. By Value
11.2. Market Share & Forecast
11.2.1. By Offering
11.2.2. By Technology
11.2.3. By End Use
11.2.4. By Country
11.3. Asia-Pacific: Country Analysis
11.3.1. China Structural Health Monitoring Market Outlook
11.3.1.1. Market Size & Forecast
11.3.1.1.1. By Value
11.3.1.2. Market Share & Forecast
11.3.1.2.1. By Offering
11.3.1.2.2. By Technology
11.3.1.2.3. By End Use
11.3.2. India Structural Health Monitoring Market Outlook
11.3.2.1. Market Size & Forecast
11.3.2.1.1. By Value
11.3.2.2. Market Share & Forecast
11.3.2.2.1. By Offering
11.3.2.2.2. By Technology
11.3.2.2.3. By End Use
11.3.3. Japan Structural Health Monitoring Market Outlook
11.3.3.1. Market Size & Forecast
11.3.3.1.1. By Value
11.3.3.2. Market Share & Forecast
11.3.3.2.1. By Offering
11.3.3.2.2. By Technology
11.3.3.2.3. By End Use
11.3.4. South Korea Structural Health Monitoring Market Outlook
11.3.4.1. Market Size & Forecast
11.3.4.1.1. By Value
11.3.4.2. Market Share & Forecast
11.3.4.2.1. By Offering
11.3.4.2.2. By Technology
11.3.4.2.3. By End Use
11.3.5. Australia Structural Health Monitoring Market Outlook
11.3.5.1. Market Size & Forecast
11.3.5.1.1. By Value
11.3.5.2. Market Share & Forecast
11.3.5.2.1. By Offering
11.3.5.2.2. By Technology
11.3.5.2.3. By End Use
11.3.6. Indonesia Structural Health Monitoring Market Outlook
11.3.6.1. Market Size & Forecast
11.3.6.1.1. By Value
11.3.6.2. Market Share & Forecast
11.3.6.2.1. By Offering
11.3.6.2.2. By Technology
11.3.6.2.3. By End Use
11.3.7. Vietnam Structural Health Monitoring Market Outlook
11.3.7.1. Market Size & Forecast
11.3.7.1.1. By Value
11.3.7.2. Market Share & Forecast
11.3.7.2.1. By Offering
11.3.7.2.2. By Technology
11.3.7.2.3. By End Use
12. Market Dynamics
12.1. Drivers
12.2. Challenges
13. Market Trends and Developments
14. Company Profiles
14.1. Campbell Scientific, Inc.
14.1.1. Business Overview
14.1.2. Key Revenue and Financials
14.1.3. Recent Developments
14.1.4. Key Personnel/Key Contact Person
14.1.5. Key Product/Services Offered
14.2. COWI A/S
14.2.1. Business Overview
14.2.2. Key Revenue and Financials
14.2.3. Recent Developments
14.2.4. Key Personnel/Key Contact Person
14.2.5. Key Product/Services Offered
14.3. SGS S.A.
14.3.1. Business Overview
14.3.2. Key Revenue and Financials
14.3.3. Recent Developments
14.3.4. Key Personnel/Key Contact Person
14.3.5. Key Product/Services Offered
14.4. Acellent Technologies, Inc.
14.4.1. Business Overview
14.4.2. Key Revenue and Financials
14.4.3. Recent Developments
14.4.4. Key Personnel/Key Contact Person
14.4.5. Key Product/Services Offered
14.5. Kinemetrics Inc.
14.5.1. Business Overview
14.5.2. Key Revenue and Financials
14.5.3. Recent Developments
14.5.4. Key Personnel/Key Contact Person
14.5.5. Key Product/Services Offered
14.6. Digitexx Data Systems, Inc.
14.6.1. Business Overview
14.6.2. Key Revenue and Financials
14.6.3. Recent Developments
14.6.4. Key Personnel/Key Contact Person
14.6.5. Key Product/Services Offered
14.7. RST Instruments Ltd
14.7.1. Business Overview
14.7.2. Key Revenue and Financials
14.7.3. Recent Developments
14.7.4. Key Personnel/Key Contact Person
14.7.5. Key Product/Services Offered
15. Strategic Recommendations16. About the Publisher & Disclaimer

Companies Mentioned

  • Campbell Scientific, Inc.
  • COWI A/S
  • SGS S.A.
  • Acellent Technologies, Inc.
  • Kinemetrics Inc.
  • Digitexx Data Systems, Inc.
  • RST Instruments Ltd.

Table Information