Autonomous Construction Equipment Market
The Autonomous Construction Equipment Global Market Report 2020-30 by The Business Research Company describes and explains the global autonomous construction equipment market and covers 2015 to 2020, termed the historic period, and 2020 to 2025, termed the forecast period, along with further forecasts for the period 2025-2030. The report evaluates the market across each region and for the major economies within each region.
The Autonomous Construction Equipment Global Market Opportunities And Strategies Report covers autonomous construction equipment market drivers, autonomous construction equipment market trends, autonomous construction equipment market segments, autonomous construction equipment market growth rate, autonomous construction equipment market major players, and autonomous construction equipment market size.
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The autonomous construction equipment market report focuses particularly on identifying the trends, opportunities, and strategies that can lead to success. O&S reports are available off the shelf and can be delivered to clients on the day of purchase.
Autonomous Construction Equipment Global Market Opportunities And Strategies Report is the most comprehensive report available on this market and will help gain a truly global perspective as it covers 60 geographies. The chapter on the impact of COVID-19 gives valuable insights on supply chain disruptions, logistical challenges, and other economic implications of the virus on the market. The chapter also covers markets which have been positively affected by the pandemic.
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Trends in the market include:
Artificial Intelligence Driven Construction Equipment-
Use of artificial intelligence (AI) in the construction industry allows construction companies to be more productive. AI driven construction equipment are safer and more effective, and also increases the efficiency and safety of construction projects. Construction industry is ready for embracing the new possibilities that AI has to bring in enhancing the way equipment is used. This helps businesses solve health and safety issues and improve efficiency. AI techniques will help inexperienced machine operators perform complex tasks, which otherwise would not have been possible. It`s beneficial in an industry where the source of highly qualified and professional operators is becoming increasingly difficult. The possibility of danger is never far away, with heavy equipment involved, sometimes rough terrain, continuous movement and the chance of human error. Yet despite the ever-increasing emphasis on health and safety, and the use of technology on employment sites, there are still plenty of deaths. Companies are realizing the benefits of AI that can bring, tackling not only health and safety issues in construction, but making work more efficient. The sector appears especially well-suited to the possibilities of AI being able to develop. For instance, Swedish firm Volvo Construction Equipment is looking at emerging technology to improve the safety of workers on building sites. The company is developing AI algorithms which use computer vision techniques to decode and detect specific objects. The system then sends the operator a warning to reduce the risk of a possible accident.
Robotic Construction Equipment-
Robotic construction equipment is increasingly being offered to cater to the growing demand for safe autonomous construction equipment. Autonomous construction equipment companies are working towards developing more reliable and efficient automated or unmanned vehicles for the construction industry. This machinery is equipped with lasers, sensors and cameras and is based on the Information Communication Technology (ICT) that can be controlled through a remote or fixed setting set by the user. For instance, Komatsu, a Japanese Construction Equipment Manufacturer, demonstrated the capabilities of unmanned hydraulic excavators and remote-controlled bulldozers at the Combined Exhibition of Advanced Technologies (CEATEC) annual trade show in Japan.
The market is segmented:
By Automation Level-
By Product Type-
By Application-
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