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CONSTRUCTION EQUIPMENT









































           on account of reforms in the emission and safety standards for   Some research data suggests that the global IoT in construction
           equipment manufactured in India. Furthermore, cordial relations   market reached a value of US$8.45 billion in 2021. Looking forward,
           between India and EU, ASEAN and Americas are a complementing   IMARC Group expects the market to reach a value of US$ 18.59
           factor to make India an export hub for construction equipment.  Billion by 2027, exhibiting a CAGR of 13.20% during 2022-2027. The
           According to Imarc research, the significant growth in the   growth of the IoT in the construction market is primarily triggered
           construction industry across the globe is creating a positive outlook   by the growing  need to  avoid project  delays through better
           for the market. Heavy construction equipment is widely used for   productivity and safety.
           heavy lifting, demolition, river dredging, cutting trees, and moving   Some studies suggest that as many as nine in 10 construction
           aside or loading materials, such as asphalt, demolition debris, dirt,   projects experience cost overruns, often 28% or more. Robots
           and snow. In line with this, the increasing adoption of cranes due   typically work faster and more precisely than humans, which would
           to their power and precision to lift hefty materials with exactness,   help address this issue. These benefits are particularly valuable
           along with a superior level of safety, is favoring the market growth.   given the persistent labor shortage in the industry.
           Apart from this, various advancements in technology, such as the   Another issue in the construction industry automation could help
           integration of machine learning (ML) and the Internet of Things   address is safety. It’s an established fact that the construction
           (IoT) to optimize equipment utilization and improve operational   industry is one of the most dangerous environ for workers, with the
           efficiency, are providing an impetus to growth. Additionally, the   highest number of deaths reported in any industry. If data is to be
           introduction of driver assistance systems and real-time data tracking   believed, around 20% -- one in every five – of all worker deaths
           to streamline processes and monitor the location, fuel usage,   happen in the construction industry. Such sorry state necessitates
           operating hours and maintenance of the machinery is positively   construction safety to be the number one priority for contractors on
           impacting the market.                               all job sites. The research revealed that majority of worker deaths is
                                                               the result of the ‘Fatal Four’ – Falls, Struck-by-object, Electrocutions,
           Automation Via IoT, AI, ML                          and Caught-in/between, accounting for around 60% of all onsite
           Construction equipment, including cranes and excavators, often   accidents. If companies can do away with these fatal four, they
           operate in geographies that include higher risk. Automated   would be able to reduce about 600 lives every year. Autonomous
           construction equipment in such cases can enable humans to   equipment would reduce these deaths by removing humans from
           set these machines to work by themselves or operate the same   the most dangerous parts of the job. Many construction teams
           remotely. This will ensure zero risk to human life if the construction   use drones to survey work sites. These aerial robots can capture
           equipment meets with an accident. Moreover, the same can   more data in 20 minutes than a week of traditional measuring.
           also ensure zero errors due to fatigue caused in the minds of the   This remarkable speed significantly improves project time to
           workforce.                                          completion, and the richness of the data can reveal potential


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