In 2024, the construction industry recorded *** fatalities due to occupational accidents. The fatalities of all industrial accidents totaled ***.

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 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.

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.

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.

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.

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.

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 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.

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.

In 2023, there were ** fatal accidents in the construction sector in Singapore, indicating an increase of *** such accidents from the previous year. Overall the amount of fatal accidents in this sector has been decreasing since the highest incidence numbers in 2013.

This is construction site safety signal light data provided by the Korea Occupational Safety and Health Agency. You can check the latest technical guidance results of construction sites (medium and small construction sites) subject to technical guidance by construction accident prevention specialized guidance institutions. ※ callApiId = 1020 (Required as a fixed value) ※ Only workplaces where accident prevention technical guidance is in progress are displayed ※ Usage reference: Korea Occupational Safety and Health Agency website (www.kosha.or.kr) > Daily Construction Safety Management Situation Board > Construction Site Safety Signal Lights (Inspection results can be distinguished by color and used) ※ Related: Article 73 of the Occupational Safety and Health Act (Industrial Accident Prevention Guidance for Construction Work) ① A construction project orderer or construction contractor (excluding a contractor who first received a construction project from a construction project orderer) of a construction project prescribed by Presidential Decree shall, when commencing the construction project, enter into a guidance contract for the prevention of construction industrial accidents with a specialized institution designated pursuant to Article 74 (hereinafter referred to as “construction accident prevention specialized guidance institution”). ② The construction disaster prevention specialized guidance institution shall provide guidance to construction contractors for the prevention of industrial accidents, and the construction contractors shall take appropriate measures in accordance with the guidance. ③ The contents of the guidance work of the construction disaster prevention specialized guidance institution, the areas subject to guidance, the method of conducting guidance, and other necessary matters shall be prescribed by Presidential Decree.

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 construction industry has a high severity of accident development and non-high severity of accident development conditions.

This is data provided so that you can search for domestic disaster case bulletin board information provided on the Korea Occupational Safety and Health Agency website (www.kosha.or.kr) in real time. ■ API usage related - You can check the bulletin board type on the website (https://kosha.or.kr/kosha/data/machine.do). (Manufacturing/Construction/Shipbuilding, etc.) - API is searched in reverse chronological order of the website data registration date. *Request message specifications ServiceKey: Authentication key issued by the public data portal business: Bulletin board type keyword: Bulletin board title callApiId: Search for domestic disaster case bulletin board (required, fixed value) pageNo: Page number numOfRows: Number of results on one page

Occupational injuries in the construction industry have plagued many countries, and many cases have shown that accidents often occur because of a combination of project participants. Assembled construction (AC) projects have received extensive attention from Chinese scholars as a future trend, but few studies have explored the interrelationships and potential risks of various stakeholders in depth. This study fills this research gap by proposing a multi-stakeholder AC risk framework. The study surveyed 396 stakeholders, then analyzed the collected data and created a risk framework based on Structural Equation Modelling (SEM) and the CRITIC weighting method. The results revealed that factors like "regular supervision is a formality," "blindly approving the wrong safety measures," and "failure to organize effective safety education and training." are vital risks in AC of China. Finally, the study validates the risk factors and the framework with 180 real-life cases, which shows that the proposed framework is theoretically grounded and realistic. The study also suggests multi-level strategies such as introducing AI-based automated risk monitoring, improving the adaptability of normative provisions to technological advances, and advancing the culture of project communities of interest to ensure AC’s safe practices.

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.

This data is part of the management information of local public enterprises managed and disclosed by the Ministry of the Interior and Safety through the Integrated Management Disclosure of Local Public Enterprises pursuant to Article 46 of the Local Public Enterprises Act, etc. Major incident and accident data includes indicators such as the year, local government name, organization name, author name, title, and content. Attached files (summary, details, countermeasures, etc.) are also posted. * Examples: Subway accidents (urban railways), fatal accidents at construction sites (development corporations, public development), industrial accidents (public corporations), etc. This data is disclosed through the Local Public Enterprise Management Information Disclosure System (www.cleaneye.go.kr). Disclosure of key management information on local public enterprises fulfills the public's right to know and serves as basic data for policymaking for local public enterprises.

Construction Safety AI Market Outlook

According to our latest research, the global Construction Safety AI market size reached USD 1.95 billion in 2024, reflecting robust adoption across various construction sectors. The market is projected to grow at a CAGR of 17.6% from 2025 to 2033, reaching an estimated USD 9.17 billion by the end of the forecast period. This rapid expansion is driven by the increasing demand for advanced safety solutions, a surge in construction activity worldwide, and the growing emphasis on reducing workplace accidents through technological innovation. As per our latest research, the convergence of AI with IoT and cloud technologies is accelerating the transformation of safety protocols in the construction industry, making AI-powered safety systems indispensable for modern project management and regulatory compliance.

The primary growth factor fueling the Construction Safety AI market is the escalating need for proactive hazard identification and risk mitigation on construction sites. Construction remains one of the most hazardous industries, with a high incidence of injuries and fatalities globally. Regulatory bodies are tightening safety mandates, pushing contractors and developers to adopt AI-driven solutions that can predict, detect, and prevent safety breaches in real time. AI-powered platforms analyze data from wearables, cameras, and sensors to flag unsafe behaviors, monitor environmental conditions, and ensure compliance with safety protocols. This capability significantly reduces the likelihood of costly accidents, project delays, and legal liabilities, making AI adoption a critical investment for construction firms aiming to protect their workforce and reputation.

Another significant driver for the Construction Safety AI market is the integration of AI with advanced hardware and software systems, enabling comprehensive site surveillance and predictive analytics. Modern construction projects generate vast amounts of data from drones, CCTV cameras, and IoT-enabled equipment. AI algorithms process this data to provide actionable insights, such as identifying unauthorized personnel, detecting equipment malfunctions, and forecasting potential hazards. The rise of smart construction sites, powered by AI, is enhancing operational efficiency and worker safety while reducing manual supervision. This technological evolution is supported by increasing investments from both public and private sectors, which recognize the long-term cost savings and productivity gains associated with AI-driven safety management.

Furthermore, the growing prevalence of cloud-based deployment models is expanding the accessibility and scalability of Construction Safety AI solutions. Cloud infrastructure allows construction firms to deploy sophisticated AI systems without the need for substantial upfront investment in IT infrastructure. This democratizes access for small and medium-sized enterprises (SMEs), enabling them to benefit from real-time safety monitoring, automated incident detection, and centralized data management. The flexibility of cloud-based solutions also facilitates remote site management and multi-site coordination, which is increasingly important as projects become more complex and geographically dispersed. As a result, the adoption of AI-powered safety solutions is accelerating across all segments of the construction industry, from residential developments to large-scale infrastructure projects.

Regionally, North America and Europe are leading the adoption of Construction Safety AI technologies, driven by stringent safety regulations, high labor costs, and a strong focus on innovation. The Asia Pacific region is emerging as a high-growth market, supported by rapid urbanization, infrastructure development, and increasing government initiatives to improve workplace safety standards. Latin America and the Middle East & Africa are also witnessing steady growth, although adoption rates are comparatively lower due to budget constraints and limited technological infrastructure. Nevertheless, as awareness of AI's benefits in construction safety grows and digital transformation accelerates globally, all regions are expected to contribute significantly to the expansion of the Construction Safety AI market over the forecast period.

Component Analysis

The Component segment in the Construction Safety AI market is primarily divided into software, hardware, and services. Software solutions form