Data on the distribution of small and medium enterprises (SME) in the construction sector in the United Kingdom (UK) in the years ending June 2014 to June 2020, by financial risk rating, show that in June 2014, it was found that 60 percent of construction sector SMEs were rated as having worse than average financial risk, by 2020 this number had dropped to 55 percent.

2021FEBEREC-STD-126

This research data consists of quantitative and qualitative data collected from the construction industry professionals working on megaprojects in South Africa. Qualitative data is in form of words which provides the possible mitigations to the risks affecting the development of construction megaprojects. On the other hand, quantitative data is numerical, it provides answers to closed ended questions which were asked using rating scales.

This statistic shows the results of a 2017 survey on the greatest sources if risk, which organizations in the United Kingdom construction industry need to build resilience to in the next three years. Of respondents, 42 percent reported disruptive competitors in the market to be the greatest concern for the success of the construction industry. Additionally, 31 percent of respondents saw macroeconomic uncertainty and events as a source of business risk.

The Construction Risk Management market has emerged as a critical segment of the construction industry, focusing on identifying, assessing, and mitigating risks associated with building projects. As the industry continues to evolve, the importance of effective risk management is underscored by the increasing complex

This statistic shows the results of a 2018 survey on the greatest sources of risk which construction industry executives in the United States expect to face in 2019. During the survey, some 36 percent reported availability of qualified workers in the industry to be the greatest risk to the industry in 2019.

Construction Safety Monitoring Systems Market Outlook

The global construction safety monitoring systems market size was valued at approximately USD 3.2 billion in 2023, and it is projected to reach USD 7.8 billion by 2032, growing at a compound annual growth rate (CAGR) of 10.5% during the forecast period. The market is witnessing robust growth driven by increasing awareness about occupational safety, stringent regulatory requirements, and technological advancements in safety monitoring solutions.

One of the primary growth factors for the construction safety monitoring systems market is the rising awareness and emphasis on workplace safety. Construction sites are inherently hazardous environments with numerous risks, including falls, machinery accidents, and exposure to harmful substances. Governments and regulatory bodies across the globe are enforcing stringent safety regulations to mitigate these risks, thereby driving the demand for advanced safety monitoring systems. In addition to regulatory scrutiny, the increasing cost of workplace injuries and the subsequent financial losses are compelling construction companies to invest in reliable safety monitoring solutions.

Technological advancements are another crucial growth factor for the construction safety monitoring systems market. Innovations such as the Internet of Things (IoT), artificial intelligence (AI), and big data analytics are being integrated into safety monitoring systems, enhancing their efficiency and effectiveness. IoT-enabled sensors and wearable devices can continuously monitor workers' health and safety parameters, providing real-time alerts for any deviations from safe conditions. AI and machine learning algorithms can analyze data from these devices to predict potential hazards and prevent accidents before they occur. The integration of these advanced technologies is significantly improving the overall safety standards on construction sites.

The growing trend of smart cities and infrastructure development projects worldwide is also contributing to the market's growth. Governments and private sector entities are investing heavily in the construction of smart cities, which require the implementation of advanced safety monitoring systems to ensure the safety of workers and the public. The increasing number of infrastructure projects, such as highways, bridges, and tunnels, further fuels the demand for robust safety monitoring solutions. These projects involve complex and hazardous construction processes that necessitate the use of advanced safety systems to prevent accidents and ensure smooth operations.

The integration of Construction Safety Wearables is revolutionizing the way safety is managed on construction sites. These wearables, equipped with IoT-enabled sensors, are designed to monitor workers' health and environmental conditions in real-time. They can track vital signs such as heart rate, body temperature, and even detect falls or prolonged inactivity, providing immediate alerts to supervisors. This proactive approach not only enhances worker safety but also helps in reducing the response time during emergencies. By providing real-time data, construction safety wearables enable companies to make informed decisions, ensuring a safer working environment. As the adoption of these devices increases, they are becoming an integral part of the construction safety monitoring systems, contributing significantly to the market's growth.

Regionally, North America currently holds the largest market share in the construction safety monitoring systems market, primarily due to stringent safety regulations and the presence of major construction companies. The Asia Pacific region, however, is expected to witness the highest growth rate during the forecast period. Rapid industrialization, urbanization, and infrastructure development in countries like China and India are driving the demand for construction safety monitoring systems in this region. Additionally, increasing awareness about workplace safety and government initiatives to improve safety standards are further propelling the market growth in the Asia Pacific.

Component Analysis

The construction safety monitoring systems market can be segmented into three primary components: hardware, software, and services. Each of these components plays a crucial role in the overall functionality and effectiveness of safety monitoring systems, catering to different aspects of construction site safety management.<

In 2023, 159 accidents occurred in the construction sector in Malaysia. This was higher compared to the number of construction accidents reported in the previous year. Nevertheless, Malaysia has seen fewer accidents in the past four years after a record number of 326 in 2019.

Workplace safety needs improvement

Safety in the workplace is essential and regulated by the 1994 Malaysian Occupational Safety and Health Act. Construction site workers are especially at risk because they often have to work on high surfaces, carry heavy tools, and deal with loud noises. The Malaysian Department of Occupational Safety and Health (DOSH) said that employers might overlook common workplace hazards that can cause injuries or even death. In 2023, 45 of these The value of construction work increased by more than ten billion Malaysian ringgit from 2022 to 2023, and it is expected to increase again this year. With more than 1.3 million

The Construction Site Safety Services market is experiencing robust growth, driven by increasing regulatory scrutiny, heightened awareness of worker safety, and the rising complexity of construction projects. The market size, while not explicitly stated, can be reasonably estimated based on industry trends. Considering the involvement of major players like Turner Construction, Bechtel, and AECOM, and the substantial capital expenditure in the construction sector globally, a conservative estimate for the 2025 market size would be around $50 billion USD. A Compound Annual Growth Rate (CAGR) of 5-7% is plausible over the forecast period (2025-2033), reflecting continued demand for advanced safety technologies and services. Key drivers include mandatory safety training requirements, increasing insurance costs associated with workplace accidents, and a growing focus on improving worker productivity through injury prevention. Emerging trends point toward the adoption of innovative technologies such as wearable sensors, drones for site surveillance, and sophisticated risk assessment software. These advancements are enabling proactive safety management and data-driven decision-making, significantly reducing workplace incidents and boosting overall efficiency. However, challenges remain, including high initial investment costs for new technologies, the need for skilled personnel to implement and maintain these systems, and varying levels of adoption across different regions and project types. Despite these restraints, the long-term outlook for the Construction Site Safety Services market remains positive. The increasing emphasis on corporate social responsibility, coupled with a competitive landscape pushing for improved safety records, ensures consistent demand. Market segmentation reflects specialization in different safety areas, such as fall protection, hazard identification, and emergency response. The substantial number of established construction companies listed indicates a mature market with diverse service offerings. The regional distribution is likely to reflect the global distribution of construction activity, with North America, Europe, and Asia-Pacific dominating the market share, although the precise breakdown requires more granular data. The market’s future hinges on ongoing technological innovation, effective regulatory enforcement, and a sustained commitment to creating safer and more productive work environments within the construction industry.

The Construction Risk & Safety Software market, valued at $4025.1 million in 2025, is experiencing robust growth driven by increasing construction activity globally, stringent safety regulations, and a rising demand for improved project efficiency. The market's expansion is fueled by the adoption of cloud-based solutions offering enhanced accessibility and data sharing capabilities among stakeholders. General contractors, building owners, and subcontractors are key adopters, leveraging software to manage risks proactively, improve safety protocols, and reduce project delays and costs. The market is segmented across deployment models (installed PC, installed mobile, and cloud-based) and user types, with cloud-based solutions exhibiting significant growth due to their scalability and cost-effectiveness. While the initial investment in software can be a restraint for smaller companies, the long-term benefits in terms of reduced incidents, improved compliance, and enhanced project outcomes are driving widespread adoption. Key players like Assignar, B2W Software, and others are continuously innovating, introducing features such as AI-powered risk assessment and real-time safety monitoring, further fueling market growth. The forecast period (2025-2033) anticipates continued expansion, driven by technological advancements leading to more sophisticated and user-friendly software solutions. The increasing integration of IoT devices and data analytics within the software is expected to provide invaluable insights into potential risks and enhance predictive capabilities. Furthermore, the burgeoning construction sector in developing economies presents substantial growth opportunities. However, challenges remain, including the need for effective user training and ongoing software maintenance, as well as concerns about data security and privacy. Despite these challenges, the long-term outlook for the Construction Risk & Safety Software market remains positive, with substantial growth potential across all segments and geographical regions.

Explore Risk management and construction through data • Key facts: author, publication date, book publisher, book series, book subjects • Real-time news, visualizations and datasets

Introduction

Construction Software Statistics: Construction software encompasses a range of digital tools designed to enhance efficiency and collaboration across various stages of construction projects.

Key types include project management, Building Information Modeling (BIM), cost estimation, accounting, field management, contract management, and procurement software.

These tools automate tasks, improve communication, and provide accurate reporting, leading to cost savings and better risk management.

Recent trends highlight a shift towards cloud-based solutions, mobile compatibility, and the integration of artificial intelligence and machine learning. Which are expected further to drive innovation and efficiency in the construction industry.

The Construction Risk Assessment Software market is witnessing significant growth as industries increasingly recognize the critical importance of managing risks in construction projects. This specialized software encompasses a suite of tools designed to identify, analyze, and mitigate potential risks throughout the

The data included in this publication depict components of wildfire risk specifically for populated areas in the United States. These datasets represent where people live in the United States and the in situ risk from wildfire, i.e., the risk at the _location where the adverse effects take place.National wildfire hazard datasets of annual burn probability and fire intensity, generated by the USDA Forest Service, Rocky Mountain Research Station and Pyrologix LLC, form the foundation of the Wildfire Risk to Communities data. Vegetation and wildland fuels data from LANDFIRE 2020 (version 2.2.0) were used as input to two different but related geospatial fire simulation systems. Annual burn probability was produced with the USFS geospatial fire simulator (FSim) at a relatively coarse cell size of 270 meters (m). To bring the burn probability raster data down to a finer resolution more useful for assessing hazard and risk to communities, we upsampled them to the native 30 m resolution of the LANDFIRE fuel and vegetation data. In this upsampling process, we also spread values of modeled burn probability into developed areas represented in LANDFIRE fuels data as non-burnable. Burn probability rasters represent landscape conditions as of the end of 2020. Fire intensity characteristics were modeled at 30 m resolution using a process that performs a comprehensive set of FlamMap runs spanning the full range of weather-related characteristics that occur during a fire season and then integrates those runs into a variety of results based on the likelihood of those weather types occurring. Before the fire intensity modeling, the LANDFIRE 2020 data were updated to reflect fuels disturbances occurring in 2021 and 2022. As such, the fire intensity datasets represent landscape conditions as of the end of 2022. The data products in this publication that represent where people live, reflect 2021 estimates of housing unit and population counts from the U.S. Census Bureau, combined with building footprint data from Onegeo and USA Structures, both reflecting 2022 conditions.The specific raster datasets included in this publication include:Building Count: Building Count is a 30-m raster representing the count of buildings in the building footprint dataset located within each 30-m pixel.Building Density: Building Density is a 30-m raster representing the density of buildings in the building footprint dataset (buildings per square kilometer [km²]).Building Coverage: Building Coverage is a 30-m raster depicting the percentage of habitable land area covered by building footprints.Population Count (PopCount): PopCount is a 30-m raster with pixel values representing residential population count (persons) in each pixel.Population Density (PopDen): PopDen is a 30-m raster of residential population density (people/km²).Housing Unit Count (HUCount): HUCount is a 30-m raster representing the number of housing units in each pixel.Housing Unit Density (HUDen): HUDen is a 30-m raster of housing-unit density (housing units/km²).Housing Unit Exposure (HUExposure): HUExposure is a 30-m raster that represents the expected number of housing units within a pixel potentially exposed to wildfire in a year. This is a long-term annual average and not intended to represent the actual number of housing units exposed in any specific year.Housing Unit Impact (HUImpact): HUImpact is a 30-m raster that represents the relative potential impact of fire to housing units at any pixel, if a fire were to occur. It is an index that incorporates the general consequences of fire on a home as a function of fire intensity and uses flame length probabilities from wildfire modeling to capture likely intensity of fire.Housing Unit Risk (HURisk): HURisk is a 30-m raster that integrates all four primary elements of wildfire risk - likelihood, intensity, susceptibility, and exposure - on pixels where housing unit density is greater than zero.

Evaluation data of construction project risk factors.

Financial constraints was the main challenge that the construction industry in Great Britain was facing in the third quarter of 2023. Approximately 61 percent of respondents considered that the difficulty to find workers had limited their activity during the three previous months as of the second quarter of 2023. However, that percentage decreased noticeably in the next quarter.

The Construction Data Analytics Tool market is experiencing robust growth, driven by the increasing adoption of digital technologies within the construction industry. The market's expansion is fueled by several key factors: the need for enhanced project efficiency and cost reduction, improved risk management capabilities, and the demand for data-driven decision-making across all stages of construction projects. The integration of Building Information Modeling (BIM) and Internet of Things (IoT) technologies is further accelerating market growth, enabling real-time data collection and analysis, ultimately leading to better project outcomes. We estimate the 2025 market size at $3.5 billion, based on observed growth in related sectors and the increasing penetration of data analytics solutions in construction. A compound annual growth rate (CAGR) of 15% is projected for the forecast period (2025-2033), indicating significant future potential. Market segmentation reveals strong demand across various deployment models (installed PC, installed mobile, cloud-based) and user types (general contractors, building owners, independent construction managers, subcontractors). Cloud-based solutions are particularly gaining traction due to their accessibility, scalability, and cost-effectiveness. Geographical analysis suggests North America and Europe currently hold the largest market share, but rapid growth is anticipated in the Asia-Pacific region, driven by increasing infrastructure development and the adoption of advanced technologies in emerging economies. However, factors such as high initial investment costs for implementing data analytics tools and a lack of skilled workforce to interpret and utilize the data effectively present challenges to market penetration. Despite these restraints, the overall market outlook remains positive, fueled by technological advancements and the industry's ongoing push for digital transformation.

This dataset package is focused on U.S construction materials and three construction companies: Cemex, Martin Marietta & Vulcan.

In this package, SpaceKnow tracks manufacturing and processing facilities for construction material products all over the US. By tracking these facilities, we are able to give you near-real-time data on spending on these materials, which helps to predict residential and commercial real estate construction and spending in the US.

The dataset includes 40 indices focused on asphalt, cement, concrete, and building materials in general. You can look forward to receiving country-level and regional data (activity in the North, East, West, and South of the country) and the aforementioned company data.

SpaceKnow uses satellite (SAR) data to capture activity and building material manufacturing and processing facilities in the US.

Data is updated daily, has an average lag of 4-6 days, and history back to 2017.

The insights provide you with level and change data for refineries, storage, manufacturing, logistics, and employee parking-based locations.

SpaceKnow offers 3 delivery options: CSV, API, and Insights Dashboard

Available Indices Companies: Cemex (CX): Construction Materials (covers all manufacturing facilities of the company in the US), Concrete, Cement (refinery and storage) indices, and aggregates Martin Marietta (MLM): Construction Materials (covers all manufacturing facilities of the company in the US), Concrete, Cement (refinery and storage) indices, and aggregates Vulcan (VMC): Construction Materials (covers all manufacturing facilities of the company in the US), Concrete, Cement (refinery and storage) indices, and aggregates

USA Indices:

Aggregates USA Asphalt USA Cement USA Cement Refinery USA Cement Storage USA Concrete USA Construction Materials USA Construction Mining USA Construction Parking Lots USA Construction Materials Transfer Hub US Cement - Midwest, Northeast, South, West Cement Refinery - Midwest, Northeast, South, West Cement Storage - Midwest, Northeast, South, West

Why get SpaceKnow's U.S Construction Materials Package?

Monitor Construction Market Trends: Near-real-time insights into the construction industry allow clients to understand and anticipate market trends better.

Track Companies Performance: Monitor the operational activities, such as the volume of sales

Assess Risk: Use satellite activity data to assess the risks associated with investing in the construction industry.

Index Methodology Summary Continuous Feed Index (CFI) is a daily aggregation of the area of metallic objects in square meters. There are two types of CFI indices; CFI-R index gives the data in levels. It shows how many square meters are covered by metallic objects (for example employee cars at a facility). CFI-S index gives the change in data. It shows how many square meters have changed within the locations between two consecutive satellite images.

How to interpret the data SpaceKnow indices can be compared with the related economic indicators or KPIs. If the economic indicator is in monthly terms, perform a 30-day rolling sum and pick the last day of the month to compare with the economic indicator. Each data point will reflect approximately the sum of the month. If the economic indicator is in quarterly terms, perform a 90-day rolling sum and pick the last day of the 90-day to compare with the economic indicator. Each data point will reflect approximately the sum of the quarter.

Where the data comes from SpaceKnow brings you the data edge by applying machine learning and AI algorithms to synthetic aperture radar and optical satellite imagery. The company’s infrastructure searches and downloads new imagery every day, and the computations of the data take place within less than 24 hours.

In contrast to traditional economic data, which are released in monthly and quarterly terms, SpaceKnow data is high-frequency and available daily. It is possible to observe the latest movements in the construction industry with just a 4-6 day lag, on average.

The construction materials data help you to estimate the performance of the construction sector and the business activity of the selected companies.

The foundation of delivering high-quality data is based on the success of defining each location to observe and extract the data. All locations are thoroughly researched and validated by an in-house team of annotators and data analysts.

See below how our Construction Materials index performs against the US Non-residential construction spending benchmark

Each individual location is precisely defined to avoid noise in the data, which may arise from traffic or changing vegetation due to seasonal reasons.

SpaceKnow uses radar imagery and its own unique algorithms, so the indices do not lose their significance in bad weather conditions such as rain or heavy clouds.

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A large number of subway projects were designed and constructed by China’s city government and more subway tunnels can hardly avoid undercrossing a river. Shield construction of subway tunnel undercrossing a river (STUR) is often in a complicated geological environment, which cause the construction process more prone to safety accidents. Hence, it is necessary to investigate the shield construction safety risks (SCSRs) of STUR in advance. The paper identified the related SCSRs of STUR using literature review and experts’ discussion, put forward a hybrid approach to examine the safety risks and their interrelations by integrating grey number, DEMATEL and ISM, and then selected a case to validate the feasibility of the proposed safety risk list and hybrid approach. Research results show that (a) a SCSRs list of STUR was identified, including 4 safety risk categories and 32 safety risks; (b) the proposed safety risk list and hybrid approach can be utilized to identify safety risks and analyze the significance and interrelation structure of the identified SCSRs of STUR; (c) most natural environment safety risks (levee, quick sand layer and high water pressure), management environment safety risks (safety institution and safety organization & duty) and manager safety risks (safety inspection, safety management competency) are salient safety risks; (d) the established safety accident causation structure, from the bottom up, includes environment safety risk level, personnel safety risk level, technology safety risk level, machine safety risk level, and accident level. The research can enrich the theoretic knowledge in shield construction safety risk analysis of STUR, and offer references for safety managers to carry out onsite scientific and effective safety management of STUR shield construction.

Ethical Reference #: 2021FEBEREC-STD-141

This study aimed to analyse the factors affecting the implementation of an OHSMS in the construction industry of the Western Cape, South Africa, by focusing on challenges associated with the implementation thereof. The research objectives were to identify factors that affect the implementation of an OHSMS on construction sites, to analyse the effect of integrating the Plan Do Check Act (PDCA) method on the implementation of OHSMS, to assess the effect of COVID-19 regulations on OHSMS implementation, and to evaluate how risk management is integrated into OHS during the implementation of an OHSMS. The research questionnaire was structured to obtain opinions about OHSMS implementation in the Western Cape from construction professionals, including safety practitioners. A stratified random sampling method was used. The questionnaires were distributed online, and the reliability of the results was tested using the Cronbach’s alpha coefficient reliability test. The quantitative data were analysed using the Statistical Package for Social Sciences (SPSS) software version 27.0, and data were interpreted through frequencies, descriptive statistics, and multi-regression analysis. A multi-regression test was conducted to determine the relationship between internal and external factors and the implementation of OHSMS, including the use of the PDCA method, COVID-19, and the risk management plan. The findings reveal that both internal and external factors affect OHSMS implementation. The most important internal factors identified are risk control strategies, senior management commitment and support, communication channels, and risk awareness. The most common external factors identified include pressure from clients on project delivery, company reputation, OHS enforcement, and government legislation. Furthermore, the study found that PDCA is the most common method used when implementing an OHSMS, and a risk management plan should be integrated into the OHSMS during the planning stage. Lastly, COVID-19 affected the implementation of the OHSMS and construction organisations operations. A framework was developed to outline how an OHSMS can be implemented based on the findings from this study. The framework can be adopted by the construction industry to ensure effectiveness when implementing their OHSMS. OHSMS implementation ensures a reduction in accidents on-site.

In the construction projects, a high risk of work accidents was found. Therefore, risk identification is very important to reduce the risk of work accidents afterwards. Risk identification begins with collecting research variables. These variables are then distributed to obtain probability and impact values ​​from respondents. The method used in this research is HIRADC (Hazard Identification Risk Assessment & Determining Control) which is assessed based on its frequency (probability) and the impact of the hazard (consequence/severity). This research aims to determine potential dangers and high-level risks. as well as risk control measures and the control of the risk. The research results show that there are 39 potential hazards with 10 high risks with determining control as per hierarchy for each hazard.