More than 7,000 Robots Will Work in Construction by 2025, says Tractica

Research company Tractica today projected revenue of $ 226 million up to 2025 for a building robotic space, an area that was traditionally labor intensive and did not focus on robotics as well as industries such as manufacturing, supply chain logistics and health care.

In a new report, “Construction & Demolition Robotics,” Tractica says growing interest in construction robots will bring revenue of $ 22.7 million in 2018 and $ 226 million by 2025. In addition, the company announced that more of 7000 building robots will be deployed to respond to several construction and demolition tasks. The largest unit delivery area will be for robotic assistants used on construction sites, followed by infrastructure robots, robots in the structure, and end-of-life robots, said Tractica.

“At this early stage in the building robot industry, several companies offer products for sale or lease,” said Glenn Sanders, Senior Analyst at Tractica. “The major categories currently available include robots for demolition, masonry, drilling, 3D printing, and binding of armor, plus several exoskeletons and auxiliary cargo robots.”

Sanders said that medium and large construction companies want to adopt these robots to solve problems related to lack of workforce, security, speed, accuracy, and integration with building automation and information modeling (BIM) systems.

The Tractice report provides market forecasts on deliveries and revenues from 2018 to 2025, providing profiles to 28 key companies, as well as a directory of 60 companies of “significant and new players in the industry”.

Earlier this year, Transparency Market Research predicted that by 2026, the robotic construction market would amount to $ 470.61 million, with an annual growth rate of 10.4% between 2018 and 2026, with Asia Pacific leading the global market.

In addition to robotics, construction companies also begin using airborne unmanned aerial vehicles and artificial intelligence software on construction sites as a way to improve analytics and operational efficiency.

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