Skip to content
MarketScale
‹ Back to IndustriesEngineering & Construction

IoT Wearables, the Future of Workplace Safety?

Improving safety in the workplace is becoming easier, thanks to technology. The Internet of Things is sparking innovation that can monitor safety risks and call them out before they become safety hazards that result in injury, hospitalization, or even death. Safety hazards have claimed over 27 million workdays and 4,500 lives on the job, and…

This story was produced through MarketScale. See how Engineering & Construction teams put it to work with Partner & Channel Enablement.

Share
IoT Wearables, the Future of Workplace Safety?

Improving safety in the workplace is becoming easier, thanks to technology. The Internet of Things is sparking innovation that can monitor safety risks and call them out before they become safety hazards that result in injury, hospitalization, or even death.

Safety hazards have claimed over 27 million workdays and 4,500 lives on the job, and companies have lost upwards of 250 billion dollars per year on safety related incidents. Paired with the statistic that only 6% of budget is spent on preventative equipment and systems, the need for advanced monitoring is on the rise. Wearable devices, however, are a solution and one that mining, manufacturing, and construction companies are starting to utilize for their workers.

How does it improve safety? The IoT is able to generate real time data that companies can use to shape their safety protocols and procedures, and tweak them in real time. It also encourages employees to adopt life-saving behaviors, and boosts awareness if conditions are subpar.

In the mining industry, IoT is the future.

Engineering & Construction: are you visible to AI?

Before they reach out, Engineering & Construction buyers ask AI engines which vendors to trust. See how AI describes your company today, and where competitors show up instead.

Free workspace

You just read one expert. Imagine publishing your whole team.

This article was produced through MarketScale. Create a free workspace and turn your own team's expertise into articles, video, and social posts. No credit card, no demo required.

NPS +73 · 1,000+ creators · 38+ countries

What you get, free

Your own MarketScale Studio workspace
One video edit a month, on us
AI writing, editing, and publishing tools
In-platform coaching to learn the system

More Engineering & Construction Insights

AI moves from back office to job site in construction's next build-out

AI moves from back office to job site in construction's next build-out

McCarthy Building Companies has entered a multimillion-dollar agreement with Palantir to enhance AI adoption. However, RICS experts highlight that data readiness and organizational culture pose significant challenges. This development signals a shift in integrating AI within construction sectors.

  • 01McCarthy Building Cos. signs a major deal with Palantir.
  • 02Data readiness is a critical hurdle for AI integration.
  • 03Organizational culture impacts AI adoption in construction.

Jul 11, 2026

South Korea commits $7.5 billion to AI-autonomous manufacturing as smart factory count hits 30,000

South Korea commits $7.5 billion to AI-autonomous manufacturing as smart factory count hits 30,000

South Korea is investing $7.5 billion in advancing AI-autonomous manufacturing, with a significant increase in smart factories, now totaling 30,000. The initiative also targets the development of 100 AI manufacturing zones throughout the country.

  • 01South Korea invests $7.5 billion in AI-autonomous manufacturing.
  • 02There are currently 30,000 smart factories in South Korea.
  • 03The government aims to develop 100 AI manufacturing zones.

Jul 11, 2026

Construction's productivity crisis: why ML cost forecasting and off-site methods are converging

Construction's productivity crisis: why ML cost forecasting and off-site methods are converging

U.S. construction productivity has decreased since 1968. Machine learning models and off-site construction methods are becoming pivotal in bridging this productivity gap by providing accurate cost forecasting and efficient building practices.

  • 01U.S. construction productivity has been declining since 1968.
  • 02Machine learning models offer enhanced cost forecasting capabilities.
  • 03Off-site construction methods contribute to improved project efficiency.

Jul 10, 2026

Explore More Engineering & Construction Insights

Read more expert perspectives from across Engineering & Construction.

Browse Engineering & Construction Hub

For B2B teams

Your experts could be publishing here

Stories like this one run on content MarketScale captures from real practitioners. See how your team's expertise becomes coverage in Engineering & Construction and beyond.

Book a 15-minute demo

Or call us. No forms required. We pick up. 214-945-2512