As IoT technology continues to evolve, it’s reshaping industries by connecting more devices, gathering more data, and offering deeper insights into operational performance. For field service companies, this surge in data presents both a challenge and an opportunity. Although businesses have invested heavily in IoT infrastructure, many still struggle to extract actionable value from the data they collect.
As we move further into 2025, field service companies that can effectively harness and leverage their IoT data will find themselves at a competitive advantage. By focusing on five key trends, companies can unlock the potential of their IoT data to reduce costs, improve operational efficiency, and drive new business opportunities.
Here’s a closer look at the trends to watch and how you can apply them today:
The traditional model of field service is based on reactive maintenance – waiting for something to break before sending technicians out. However, with IoT data, companies can shift to a more proactive approach: predictive maintenance. This trend allows businesses to forecast when equipment is likely to fail, enabling maintenance to be performed before a breakdown occurs.
By integrating predictive maintenance capabilities with real-time data, companies can detect patterns – like temperature spikes or power fluctuations – that indicate a potential failure. For example, EV charging stations can use IoT data to identify when components such as power converters are showing signs of wear. Instead of waiting for a charger to go offline, the system can predict the failure and automatically schedule a technician to perform preventative maintenance.
This approach drastically reduces downtime, improves asset longevity, and enhances customer satisfaction. Moving from reactive maintenance to predictive strategies can save both time and money by addressing issues before they escalate.
To get started, focus on leveraging AI tools like Bolt Data Connect that analyze historical IoT data to identify trends and predict future failures. Whilst this may sound like a daunting task, it can actually be reasonably simple. Most customers are up and running in weeks (not months) and comment how easy it is to integrate existing systems rather than ripping out legacy technology and starting from square one. And the ROI can be huge, reducing unplanned repairs and extend the lifespan of your critical assets! Bolt Data Connect customer Quench USA have experienced a 2,058% ROI against the investment made from this very feature.
One of the key challenges that many field service companies face is a lack of real-time visibility into their connected assets. Without a centralized system that provides up-to-date insights, service teams struggle to prioritize maintenance tasks and respond quickly to emerging issues.
The solution is a centralized dashboard that aggregates real-time IoT data, giving service managers and technicians a clear view of asset performance. Imagine being able to instantly identify which EV chargers, HVAC systems, or manufacturing machines are experiencing issues, allowing for faster response times and more efficient service.
For instance, service teams can track all connected assets from a single interface, seeing which devices are functioning properly and which ones need attention. This level of visibility helps managers prioritize which assets to service, ensuring that critical failures are addressed first and that no devices fall through the cracks.
To implement this, it’s crucial to integrate your IoT data into a unified system such as Salesforce that can present actionable insights in real-time. This approach not only speeds up decision-making but also improves operational efficiency across your entire service network. Bolt Data Connect are a recognised partner of Salesforce offering expertise that can speed up the integration of your IoT data even further. Customer PerkinElmer saw 40+ seamless integrations across Salesforce, ServiceMax, and SAP, ensuring data consistency and streamlined workflows.
Book a demo with an IoT expert to see how you can automate what slows your down >
As the volume of IoT data increases, manual processes become a bottleneck that limits efficiency and scalability. Many businesses still rely on manual interventions to act on IoT alerts, creating inefficiencies and delaying service delivery.
Automating key workflows – such as the creation of work orders, technician dispatch, and customer notifications – can eliminate these inefficiencies. By integrating IoT data into your service management systems, such as CRM or field service management tools, businesses can automate much of the service process.
For example, when an HVAC unit detects a clogged filter, the IoT system can automatically generate a work order and assign it to the nearest technician. This eliminates the need for service teams to manually process alerts, schedule maintenance, or contact customers.
Automation also improves the accuracy of service responses. By eliminating the human element in routine tasks, you can reduce errors, improve consistency, and speed up the entire service workflow. The result? Quicker service delivery, lower operational costs, and more satisfied customers.
To achieve this, implement ‘clicks not code’ automation tools that allow service teams to set up and maintain automated workflows without needing advanced technical skills or a team of developers. This approach makes automation more accessible and reduces the burden on your internal resources. Bolt Data Connect’s Service Alert Response includes Automated Alert Handling allowing admins to easily configure how the system responds to the IoT Alerts with clicks-not-code.
Traditional pricing models in field service often involve flat-rate contracts for asset maintenance. However, with IoT data, businesses now have the opportunity to adopt servitization – a model where customers are charged based on how much they use the equipment.
This shift to a usage-based model not only aligns pricing with actual service usage but also creates new revenue streams. By using real-time IoT data to track the usage of connected devices, businesses can bill customers based on how frequently the equipment is used, rather than a fixed service fee.
Take Quench USA, for example. By using IoT sensors to track water dispenser usage, Quench is able to charge customers based on actual consumption. This dynamic pricing model improves revenue predictability and ensures that customers only pay for what they use, while also allowing businesses to optimize their service delivery to match actual demand.
Kim Kiernan, Vice President of Information Technology and Business Intelligence at Quench, said:
“The Bolt Data team was able to develop asset monitoring and business automation rules that improved productivity and ensured Quench proactively replenish products on time, providing a better customer experience."
To implement this model, start by using IoT data to track asset usage in real-time. Use this data to create billing rules that reflect the actual wear and tear on your equipment, and adjust your service schedules accordingly to minimize unnecessary maintenance visits.
Read the full Quence case study here >
In many organizations, IoT data exists in isolation, separate from the business systems that drive day-to-day operations. This fragmentation creates inefficiencies, as service teams must manually reconcile data from disparate sources.
The solution lies in seamlessly integrating IoT data with your existing systems, such as CRM, ERP, and field service management tools. This integration ensures that service teams have access to both asset performance data and customer information in one unified system, enabling them to make smarter, faster decisions.
For instance, when an EV charger experiences an issue, IoT data can be automatically fed into the field service management tool, triggering an alert that includes key information such as the customer’s SLA, the nature of the issue, and the technician’s proximity to the site. This enables service teams to prioritize jobs based on real-time insights and customer requirements, reducing downtime and improving service quality.
To get started, ensure that your IoT data is integrated with the systems your field service teams already use. This will eliminate data silos, improve workflow efficiency, and ensure that your technicians always have access to the most relevant information. Bolt Data Connect integrates with your tech stack, working with (not against) your existing workflows. Learn more.
As IoT data continues to evolve, the companies that succeed in field service will be those that can transform raw data into valuable insights. By adopting trends like predictive maintenance, real-time data visualization, automation, servitization, and seamless integration, you can enhance service delivery, reduce costs, and improve operational efficiency.
Bolt Data Connect is at the forefront of helping companies bridge the gap between IoT data and actionable business outcomes. With its advanced capabilities in real-time monitoring, predictive analytics, and seamless integration with service management tools, Bolt Data Connect is enabling businesses to make the most of their IoT investments.
By leveraging IoT data to automate processes, predict failures, and optimize service delivery, your company can unlock new efficiencies, drive profitability, and enhance the customer experience.
Ready to transform your IoT data into a powerful asset? Start today with Bolt Data Connect and unlock the full potential of your connected devices.
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