In the financial year 2023/24, slips and falls made up most of the non-fatal injuries of employees in the construction industry in Great Britain. There were *** people due to falls from a height, while *** people were injured while handling, lifting or carrying something. Being stricken by a vehicle or a moving object were also common non-fatal accidents.

In 2022, the highest number of fatal industrial accidents occurred in the construction industry with *** cases, followed by the tertiary industry with *** casualties. That year, the total number of fatalities caused by work accidents amounted to *** cases.

In 2023, there were ***** work-related deaths less in the construction industry of the United States than in the previous year. The number of fatal injuries in construction increased significantly during the last decade and peaked in 2019 at *****. While *** people died in this industry in 2011, by 2023 that number increased to *****.

The graph illustrates the annual fatalities among construction workers in the United States from 2018 to 2023. The x-axis displays the years, labeled with abbreviated two-digit numbers from '18 to '23, while the y-axis represents the total number of deaths recorded each year. Over this five-year span, the fatalities range from a low of 951 in 2021 to a high of 1,066 in 2019. The data shows fluctuations in annual deaths, with a decrease in fatalities in 2020 and 2021 followed by an increase in 2022. The graph provides a visual representation of the trends in construction worker fatalities during this period.

Introduction

Workplace Injury Statistics: Businesses in different fields are constantly worried about workplace injuries. They greatly affect productivity, morale, and general business operations since they come with huge costs, including human life loss and other financial costs. In 2023, approximately 2.8 million cases of workplace injuries were reported in the United States.

This is an increase of about 2% from 2022, indicating continued struggles with upholding security at places of work. The construction and manufacturing industries were among those hit hardest by this calamity, making up nearly 45% of all reported injuries. These could be caused by machines or even human beings, resulting in nasty accidents that might lead to death. The most commonly reported injuries include burns, overexertion, or falls. These are considered unexpected events that cannot be avoided at times. Therefore, measures should be put in place to prevent such unfortunate occurrences.

This is especially worrying because these sectors contribute significantly to the economy and have millions of workers employed there. An elaborate analysis of workplace injury statistics from 2023 and 2024 is presented in this article, and clear data suitable for market research professionals is provided.

In 2021, **** out of 1,000 workers in the construction sector in the Philippines experienced an occupational injury, a rate that was slightly lower than in 2019. The incidence rate of occupational injuries in construction peaked in 2015.

Here you will find an open data set with the Labour Inspection Authority’s statistics on occupational injury deaths per year for the last five-year period. The Working Environment Act & 5-2 requires employers to notify the Labour Inspection Authority of serious work-related personal injuries to their own employees. Occupational injury death means a work injury that causes the injured employee to die within one year of the accident. The Labour Inspection Authority provides statistics on occupational injury deaths occurring within the Labour Inspection Authority’s administrative area that is limited to the land-based labour market in Norway. Occupational injury deaths in aviation, shipping, fishing and capture, petroleum activities on the Norwegian continental shelf and the construction and operation of land-based petroleum facilities are followed up by other supervisory authorities. Occupational injury deaths in these industries are therefore not included in these statistics. Occupational injury deaths in military occupations are included, with the exception of deaths in war situations. For more information about the data set read here. The open data set consists of: Year (Ar), Monthly name (Maned), Number of occupational injury deaths (Number)

The numbers reflect incidents that were reported to and tracked by the Ministry of Labour. They exclude death from natural causes, death of non- workers at a workplace, suicides, death as a result of a criminal act or traffic accident (unless the OHSA is also implicated) and death from occupational exposures that occurred in the past.

Data from the Ministry of Labour reflects Occupational Health and Safety (OHS) and Employment Standards (ES) information at a point in time and/or for specific reporting purposes. As a result, the information above may not align with other data sources.

Notes on critical injuries :

For the purposes of the data provided, a critical injury of a serious nature includes injuries that:

1. "Place life in jeopardy"
2. "Produce unconsciousness"
3. "Result in substantial loss of blood"
4. "Involve the fracture of a leg or arm but not a finger or toe"
5. "Involve the amputation of a leg, arm, hand or foot but not a finger or toe"
6. "Consist of burns to a major portion of the body"
7. "Cause the loss of sight

Only critical injury events reported to the ministry are included here. This represents data that was reported to the ministry and may not represent what actually occurred at the workplace. The critical injury numbers represent critical injuries reported to the ministry and not necessarily critical injuries as defined by the Occupational Health and Safety Act (OHSA). Non- workers who are critically injured may also be included in the ministry's data. Critical injuries data is presented by calendar year to be consistent with Workplace Safety and Insurance Board harmonized data;

Data is reported based on calendar year

Individual data for the Health Care program is available for Jan. 1 to Mar. 31, 2011 only. From April 2011 onwards Health Care data is included in the Industrial Health and Safety numbers.

Notes on Fatalities :

Only events reported to the ministry are included here. The ministry tracks and reports fatalities at workplaces covered by the OHSA. This excludes death from natural causes, death of non-workers at a workplace, suicides, death as a result of a criminal act or traffic accident (unless the OHSA is also implicated) and death from occupational exposures that occurred many years ago. Fatalities data is presented by calendar year to be consistent with Workplace Safety and Insurance Board harmonized data. Fatality data is reported by year of event.

*[OHSA]: Occupational Health and Safety Act *[Mar.]: March *[Jan.]: January

As of 2024, annual fatality data (including previous years) is reported by year of death.

In the 2023/24 reporting year, there were 51 fatal injuries to construction workers in Great Britain, the most of any industry sector. The industry with the second-highest number of fatalities was agriculture, which had 23.

This is an API that allows you to look up the daily status of major accidents in the construction industry. It provides work type, cause, accident type, accident overview, and risk reduction measures. ※ callApiId = 1010 (Required as a fixed value) ※ This data analyzes fatal accidents that occurred in the construction industry between 2017 and 2021, and derives high-risk work, accident occurrence situations, and major causal factors that can cause serious injuries or more. ※ Since the work environment of each workplace may be different, please refer to this data to identify high-risk work and accident-causing factors considering the environment and work characteristics. ※ Since the work environment of each workplace may be different, please refer to the data to identify high-risk work and accident-causing factors considering the workplace environment and work characteristics.

The global Construction Safety Wearables market is poised for substantial growth, projected to reach approximately $1.8 billion by 2033, with a Compound Annual Growth Rate (CAGR) of around 18% from 2025 to 2033. This robust expansion is primarily driven by an increasing emphasis on worker safety regulations and a growing awareness of the financial and human costs associated with construction site accidents. Advancements in technology, particularly in areas like the Internet of Things (IoT), artificial intelligence (AI), and miniaturization, are enabling the development of more sophisticated and user-friendly wearable devices. These devices offer real-time monitoring of vital signs, environmental hazards, and worker location, thereby empowering proactive safety interventions and reducing the incidence of injuries and fatalities. The demand for solutions addressing repetitive work and working at heights is particularly strong, as these are historically high-risk areas within the construction industry. The market is further segmented by device type, with exoskeletons and smart glasses emerging as key growth segments, offering enhanced physical support and improved situational awareness respectively. Companies like Hilti, Trimble, and Microsoft are actively investing in R&D and strategic partnerships to capture market share, offering innovative solutions that integrate seamlessly into existing construction workflows. North America and Europe currently lead the market due to stringent safety standards and early adoption of technology. However, the Asia Pacific region, particularly China and India, is expected to witness the fastest growth, fueled by rapid infrastructure development, increasing urbanization, and a burgeoning construction sector. While the potential for this market is immense, challenges such as the initial cost of implementation, the need for extensive training, and concerns regarding data privacy and security may present temporary headwinds. Nevertheless, the overarching commitment to a zero-accident construction environment is expected to propel sustained adoption and innovation in construction safety wearables. The construction industry, historically a domain of high-risk activities, is undergoing a significant transformation driven by the advent of sophisticated safety wearables. This report delves into the burgeoning market for these intelligent devices, analyzing their impact, trends, and future trajectory from 2019 to 2033. With a base year of 2025, the market is poised for substantial expansion, projecting a demand that will reach several million units by the end of the study period. Innovations in smart technology are fundamentally reshaping how worker safety is managed on construction sites, promising to reduce accidents, enhance productivity, and foster a more secure work environment.

Dataset of 100 occupational accidents applied to the plumbing activity in two companies with 300 workers of the construction sector, were analyzed. The data were obtained of 2005 to 2022 year. The dataset is a accident database labor administered by Occupational Health and Safety coordinators and it use was approved by the two companies. The kind of occupational accident can be seen in Sheet2(2).

The number of construction workers with injuries that led them to have days away from work in the United States decreased in 2022 by over 1,000 cases. Additionally, there were ****** workers with injuries, which caused them to have job transfers or restrictions. Finally, there were around ****** employees with other recordable injury cases.

The database was built using the G1 portal (g1.globo.com) as a news source and 72 news items related to work accidents were recorded. The search was conducted using the keywords “accident” and “industry” as a filter. News items between 2018 and 2022 were treated as a priority in data mining. For certain records, the “Process” category could not be filled in because this variable was not available in the news item. In this case, 56 records of this category were obtained. Each recorded news item is equivalent to a single accident/event and was characterized by 12 main attributes:

• estado (state): Federative Unit (UF);
• cidade (city): Municipality of the UF;
• area_da_industria (industry area): Nominal description of the CNAE code;
• cod_CNAE (CNAE code): A code that cover the Section and its respective Division;
• processo (process): Industrial activity that was being carried out at the time of the event;
• evento (event): Occurrence reported in the news;
• vitimas (victims): People involved at the time of the accident according to the news;
• fatalidades (fatalities): Deaths reported in the news;
• grau (degree): Level of severity of the accident, from 1 to 5;
• mes (month): Month in which the news was published;
• ano (year): Year in which the news was published;
• url (U.R.L.): Virtual address of the news.

The severity levels of the events were classified into 5 levels in the context of the chemical industries according to Rathnayaka et al. (2011) [1]. Increasingly:

• Grade 1 (“Near miss”): This term denotes events that do not result in losses, but have the potential to do so. For example, when a process is occurring outside safe operating limits and does not cause accidents;
• Grade 2 (“Unforeseen”): An unforeseen event is a sequence of events that can cause minor damage to human health, property or the environment. Its consequences cause loss of production or working hours;
• Grade 3 (“Incident”): An incident can cause damage or loss. It can cause major damage and injuries to health, causing temporary or minor permanent disability. It causes localized damage to assets/property, the environment and production. It has an impact on the company’s reputation;
• Grade 4 (“Accident”): This term refers to events that can cause fatalities, major permanent injuries or major financial losses. They generally receive media attention;
• Grade 5 (“Catastrophic Accident”): A catastrophic event that may cause multiple fatalities and/or extensive damage to property and assets.

The industrial activities (related to the “Process” attribute) that appeared in the database can be described by 7 categories:

• Production: activity of manufacturing the final product, processing raw materials or mineral/vegetable extraction;
• Storage: activity related to the storage of final products, raw materials, equipment and the like;
• Maintenance: activity related to the maintenance of equipment or machines used in the industry;
• Cleaning: activity related to the cleaning of industrial premises, equipment or machines;
• Transportation: activity related to the transportation of manufactured products or raw materials on the route between the storage area and the factory's Distribution Center;
• Civil Construction: activity related to the construction of new areas (warehouses, rooms, buildings), extension of existing premises or specific maintenance of structures in civil construction;
• Others: activities that do not fit into any of the descriptions above.

Folder contents:

• industrial_accidents_in_brazil_from_news_EN.csv: The database in English.
• industrial_accidents_in_brazil_from_news_BR.csv: The database in Portuguese.
• CNAE_dict_EN.pkl: A Python dictionary containing the decoded values for the CNAE code in English version.
• CNAE_dict_BR.pkl: A Python dictionary containing the decoded values for the CNAE code in Portuguese version.

For import CNAE_dict.pkl file, execute the code: python import pickle with open( 'CNAE_dict.pkl', 'rb' ) as f: code_dict = pickle.load( f )

[1] RATHNAYAKA, S.; KHAN, F.; AMYOTTE, P. SHIPP methodology: Predictive accident modeling approach. Part II. Validation with case study. Process Safety and Environmental Protection, v. 89, n. 2, p. 75–88, mar. 2011.

Construction Safety Management Software Market Outlook

According to our latest research, the global Construction Safety Management Software market size reached USD 1.72 billion in 2024, reflecting the increasing prioritization of safety and compliance in the construction industry worldwide. The market is expected to grow at a robust CAGR of 10.6% from 2025 to 2033, reaching a forecasted value of USD 4.24 billion by 2033. This impressive expansion is primarily driven by stringent regulatory requirements, advancements in digital technologies, and the need to minimize workplace accidents and operational disruptions in construction projects.

The primary growth factor fueling the Construction Safety Management Software market is the rising emphasis on workplace safety and regulatory compliance across the construction sector. As governments and regulatory bodies across the globe enforce stricter safety standards, construction firms are increasingly adopting digital solutions to ensure compliance and reduce the risk of accidents. Construction Safety Management Software not only streamlines safety processes but also provides real-time monitoring and reporting, which is essential for managing complex, multi-site projects. The integration of advanced analytics and mobile capabilities further enhances the ability of project managers to identify hazards, track incidents, and implement corrective measures promptly. As a result, organizations are witnessing significant improvements in safety performance, reduction in workplace injuries, and enhanced operational efficiency, all of which contribute to the market’s robust growth trajectory.

Another significant driver of the Construction Safety Management Software market is the growing adoption of cloud-based solutions, which offer scalability, flexibility, and enhanced accessibility. Cloud deployment allows construction companies to centralize safety data, facilitate collaboration among stakeholders, and ensure seamless updates and maintenance of software platforms. This is particularly important for large-scale construction projects that involve multiple contractors, subcontractors, and geographically dispersed teams. The ability to access safety data and analytics from any location empowers organizations to make informed decisions quickly, mitigate risks proactively, and foster a culture of safety across all levels of the workforce. Furthermore, the integration of mobile applications and IoT devices is enabling real-time data capture and instant communication, which are crucial for effective incident management and compliance tracking.

The increasing focus on digital transformation within the construction industry is also playing a pivotal role in the expansion of the Construction Safety Management Software market. As construction projects become more complex and timelines more stringent, companies are leveraging digital tools to optimize workflows, enhance productivity, and ensure safety. The implementation of Construction Safety Management Software is enabling organizations to automate routine tasks, standardize safety protocols, and streamline audit and inspection processes. This not only reduces administrative burdens but also ensures that safety practices are consistently applied across all project sites. Moreover, the use of data analytics and artificial intelligence is enabling predictive risk assessment, allowing companies to anticipate potential hazards and take preventive actions. This proactive approach to safety management is gaining traction among industry leaders, further propelling market growth.

From a regional perspective, North America continues to dominate the Construction Safety Management Software market, driven by a mature construction industry, stringent safety regulations, and high adoption of digital technologies. However, the Asia Pacific region is emerging as the fastest-growing market, supported by rapid urbanization, infrastructure development, and increasing awareness of workplace safety. Europe also holds a significant market share, with strong regulatory frameworks and a focus on sustainability and worker welfare. In contrast, Latin America and the Middle East & Africa are witnessing steady growth, albeit at a slower pace, due to evolving regulatory landscapes and gradual digital adoption. Overall, the global market is characterized by diverse regional dynamics, with each region presenting unique opportunities and challenges for market players.

Component Analysis

The global Construction Site First Aid Medical Kit market is poised for robust growth, projected to reach a substantial USD 146.1 million by 2025 and expand at a Compound Annual Growth Rate (CAGR) of 5.0% through 2033. This upward trajectory is primarily propelled by increasing investments in construction activities worldwide, driven by urbanization and infrastructure development. As construction sites inherently present a higher risk of accidents and injuries, the demand for comprehensive and easily accessible first aid solutions becomes paramount. Stringent safety regulations and a growing emphasis on worker well-being by construction companies are significant drivers fueling market expansion. Furthermore, advancements in kit contents, incorporating specialized trauma care supplies and diagnostic tools, are catering to evolving industry needs. The market is also witnessing a trend towards portable and customized kits tailored to specific construction project requirements and regional safety standards, enhancing their utility and adoption. The market segmentation reveals distinct opportunities within both product types and applications. The Plastic Shell segment is likely to dominate due to its cost-effectiveness and durability, while Metal Shell options offer enhanced protection for critical supplies in harsh environments. In terms of applications, Normal Processing sites will constitute the largest share, owing to the sheer volume of general construction projects. However, the Special Treatment application segment, encompassing specialized construction, will exhibit higher growth rates as these projects often involve unique risks requiring more advanced first aid provisions. Key players such as Johnson & Johnson, 3M, and Honeywell are at the forefront, investing in product innovation and strategic partnerships to capture market share. While the market is generally strong, potential restraints could include the initial cost of high-quality kits for smaller contractors and the availability of basic first aid supplies, although the increasing awareness of comprehensive safety protocols is mitigating these concerns. This report offers a comprehensive analysis of the global Construction Site First Aid Medical Kit market, projecting a robust growth trajectory reaching an estimated $750 million by the end of the forecast period. The market is characterized by a dynamic interplay of evolving safety regulations, technological advancements, and an increasing awareness of workplace health and safety protocols within the construction industry.

Human factor in contributing to occupational accidents in the Mass Rapid Transit (MRT) construction industry in Malaysia. Based on earlier studies, it can be concluded that the factors affecting occupational accidents can be divided into five factors namely human (worker); workplace; materials and equipment; management; and environmental influences. Human factor is the major contributor to overall occupational accidents in the construction sites compared to other factors. Human factor can be divided into four main aspects namely attitude; dangerous behaviour; human physical and physiological; and competency.

Automated Injury Risk Assessment Market Outlook

According to our latest research, the global Automated Injury Risk Assessment market size reached USD 2.14 billion in 2024, and the industry is poised for robust expansion with a projected CAGR of 13.2% from 2025 to 2033. By the end of 2033, the market is forecasted to attain a valuation of USD 6.37 billion. This growth trajectory is underpinned by the increasing adoption of artificial intelligence (AI) and machine learning (ML) in healthcare, sports, automotive, and workplace safety sectors, which are driving the demand for advanced risk assessment solutions. As per our in-depth analysis, the market is being shaped by technological advancements, regulatory mandates, and a heightened focus on proactive injury prevention across industries.

One of the primary growth factors for the Automated Injury Risk Assessment market is the surging integration of AI-powered analytics in healthcare and sports sectors. The growing adoption of wearable devices and IoT-enabled sensors has enabled real-time monitoring of physiological and biomechanical parameters, allowing for early detection and prevention of injuries. These technologies not only enhance patient and athlete safety but also optimize treatment and training protocols. Furthermore, the increasing prevalence of chronic diseases and sports injuries has created a pressing need for predictive analytics, which can identify individuals at high risk and facilitate timely interventions. The convergence of big data analytics with injury risk assessment platforms is enabling healthcare providers and sports organizations to make data-driven decisions, thereby improving outcomes and reducing costs.

Another significant driver is the rising emphasis on workplace safety and regulatory compliance. Governments and regulatory bodies across the globe are imposing stringent safety standards to minimize occupational hazards and ensure employee well-being. Automated Injury Risk Assessment solutions are being increasingly deployed in high-risk industries such as manufacturing, construction, and mining to monitor worker health, assess ergonomic risks, and prevent accidents. The integration of these systems with enterprise resource planning (ERP) and human resource management (HRM) platforms is streamlining safety audits and reporting processes. Moreover, the growing awareness among employers regarding the financial and reputational implications of workplace injuries is propelling the adoption of automated risk assessment tools.

The insurance sector is also experiencing a paradigm shift, with insurers leveraging automated injury risk assessment platforms to enhance underwriting accuracy and streamline claims processing. By utilizing advanced analytics and machine learning algorithms, insurance companies can more accurately assess policyholder risk profiles, detect fraudulent claims, and personalize coverage offerings. This not only improves operational efficiency but also enhances customer satisfaction. Additionally, the proliferation of telemedicine and digital health platforms is expanding the reach of automated risk assessment solutions, enabling remote monitoring and risk evaluation for insured individuals. As insurers seek to capitalize on these technological advancements, the market for automated injury risk assessment is expected to witness sustained growth.

From a regional perspective, North America continues to dominate the Automated Injury Risk Assessment market, accounting for the largest share in 2024, followed by Europe and Asia Pacific. The strong presence of leading technology providers, advanced healthcare infrastructure, and high adoption rates of digital health solutions are key factors driving market growth in these regions. Meanwhile, the Asia Pacific market is witnessing rapid expansion, fueled by increasing investments in healthcare IT, rising sports participation, and growing awareness of workplace safety standards. Latin America and the Middle East & Africa are also emerging as promising markets, supported by improving healthcare access and rising investments in occupational health and safety initiatives.

Component Analysis

The Automated Injury Risk Assessment market is segmented by component into Software, Hardware, and Services. Software solutions form the backbone of the market, encompassing advanced analytics platforms, risk assessment algorithms, and user interfaces that enable seaml

In 2022, the total number of accidents with fatalities in the construction industry amounted to *** cases. Construction work segment caused nearly *** fatal injuries to workers that year.

AI-Powered Construction Safety Analytics Market Outlook

According to our latest research, the AI-Powered Construction Safety Analytics market size reached USD 2.13 billion in 2024 globally, with a robust compound annual growth rate (CAGR) of 19.7% anticipated through the forecast period. By 2033, the market is projected to attain a value of USD 10.97 billion, driven by increased adoption of artificial intelligence in construction safety management and the growing emphasis on minimizing workplace accidents. This accelerated growth is fueled by the integration of advanced analytics, real-time monitoring, and predictive safety solutions, which are transforming the construction sector’s approach to risk management and regulatory compliance.

The primary growth driver for the AI-Powered Construction Safety Analytics market is the escalating demand for proactive risk identification and mitigation in the construction industry. As construction projects become larger and more complex, the potential for workplace accidents and safety violations increases. AI-powered analytics tools enable real-time data collection from various sources, including wearables, site cameras, and IoT sensors, allowing for immediate detection of unsafe behaviors or hazardous conditions. This not only enhances worker safety but also reduces project downtime, insurance costs, and potential legal liabilities. The ability of AI to process vast amounts of unstructured data and deliver actionable insights is revolutionizing how construction firms manage safety protocols, leading to a marked reduction in accident rates and fostering a culture of safety-first across the sector.

Another significant factor fueling market expansion is the tightening of regulatory frameworks and the increasing emphasis on compliance with occupational health and safety standards worldwide. Governments and regulatory bodies are mandating stricter safety protocols, and non-compliance can result in severe penalties, project shutdowns, or reputational damage. AI-powered safety analytics platforms help construction companies stay ahead of regulatory requirements by automating compliance management, tracking incidents, and generating detailed audit trails. These solutions not only streamline reporting but also offer predictive analytics to prevent future incidents, thereby aligning operational practices with legal mandates and industry best practices. The resulting reduction in regulatory risk is a compelling incentive for construction firms to invest in advanced safety analytics technologies.

Technological advancements and the proliferation of smart construction sites are further accelerating the adoption of AI-powered safety analytics. The integration of AI with IoT, drones, and wearable devices is enabling a new era of connected construction environments where safety is monitored continuously and in real-time. These technologies facilitate comprehensive site hazard detection, equipment monitoring, and worker tracking, significantly improving incident response times and overall site safety. Additionally, the shift towards digital transformation in construction, spurred by the need for operational efficiency and cost-effectiveness, is fostering greater acceptance of AI-driven solutions. Construction companies are increasingly recognizing the value of data-driven decision-making, which not only enhances safety outcomes but also contributes to project profitability and sustainability.

From a regional perspective, North America currently leads the AI-Powered Construction Safety Analytics market, owing to its advanced construction sector, high adoption of digital technologies, and stringent safety regulations. However, Asia Pacific is emerging as a high-growth region, driven by rapid urbanization, significant infrastructure investments, and increasing awareness of workplace safety. Countries such as China, India, and Japan are witnessing a surge in smart construction initiatives, supported by government policies and growing investments in AI and IoT technologies. Europe also represents a substantial market share, characterized by strong regulatory frameworks and a focus on sustainable construction practices. Meanwhile, regions like Latin America and the Middle East & Africa are gradually embracing AI-powered safety analytics as part of broader efforts to modernize their construction industries and enhance worker safety standards.

Component Analysis

The AI-Powered Construct