GUEST OPINION: Predictive maintenance has long been sold as a silver bullet for asset-intensive organisations. By anticipating failures before they occur, the theory goes, businesses can reduce ...

MaintainX reports AI can enhance maintenance efficiency through real-time assistance, predictive analysis, and knowledge ...

The landscape of professional work is undergoing a fundamental shift, as detailed in the 2024 Work Trend Index Annual ...

Key market opportunities in AI for oil and gas include enhancing operational efficiency, cost reduction, and safety compliance. Growth is driven by real-time decision-making needs, smart oilfield ...

In the past few years, edge artificial intelligence (AI) has moved beyond experimental pilots and into real deployments ...

In this article, MaintainX shares a collection of useful stats and insights about preventive maintenance, predictive analytics, artificial intelligence, and other trends that impact maintenance teams.

Real-time data, predictive maintenance, and smarter routing show where AI could help fleets cut fuel use and avoid delays.

AI turns preventive maintenance data into predictive insights, helping fleets prevent breakdowns and extend truck life. Smart PMIs let fleets forecast part failures, reduce downtime, and optimize ...

The benefit comes from combining cycle counts and process monitoring data from the historian database instead of relying on hours-based scheduling methods. Manufacturers should move beyond hours-based ...

Digital transformation is increasingly connected to corporate sustainability strategies. Industry 4.0 technologies allow companies to analyze large volumes of operational data, identify inefficiencies ...

Vehicle Predictive Maintenance Market was valued at US$ 3 Bn in 2025 and is projected to reach US$ 13.7 Bn by 2036, growing at a CAGR of 14.7%, driven by AI diagnostics and IoT-based vehicle ...