How does IoT technology work in asset monitoring and management? Quick answer: The IoT is completely changing the way we monitor and maintain physical assets like mobile machinery — with smart devices, remote management tools, and fast, reliable and secure network connectivity to enable the rapid data processing needed for automation and rapid data insights.
Managing assets effectively is essential for modern businesses to maximize productivity, minimize downtime and optimize resource allocation — but it has traditionally been a difficult and time-consuming task involving many manual processes. Today, the IoT is making true asset management a reality.
In this article, we will provide definitions of asset management and asset monitoring. We will discuss the benefits of IoT in asset management and how it works. We will also discuss some IoT implementation challenges and security concerns, as well as their solutions.
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Asset management and monitoring involve managing and monitoring an organization's assets throughout their lifespan. These assets may be physical — machinery, equipment, or vehicles. They could also be digital — software licenses and even domain names.
Asset management means acquiring, registering, maintaining, tracking and disposing of assets. The goal is to maximize asset utilization, reduce downtime, control costs and comply with regulations. It also involves strategies to increase an asset's lifespan and value to the company.
Asset monitoring involves real-time asset data observation and analysis. Businesses use technologies like sensors, Internet of Things (IoT) devices and advanced analytics to improve monitoring. They provide valuable data for decision-making, predictive maintenance and process optimization.
IoT devices are physical objects with sensors, software and connectivity that collect and share data online. These devices include household appliances, wearable tech, industrial machinery, and smart infrastructure. IoT devices gather data, share it with other devices or systems and act on it, enabling operators to monitor and manage devices remotely.
The working principle of IoT devices involves these essential components:
- Sensors: IoT devices typically integrate sensors, such as temperature, motion, humidity, GPS, and more. These sensors monitor the device's surroundings and collect data which is routed by wireless communication modules and gateways to a cloud interface or datacenter for analysis, insights, decision making and process automation.
- Connectivity: IoT devices connect wirelessly via Wi-Fi, Bluetooth, or cellular networks. This lets them send the collected data to other devices, cloud platforms, or central servers.
- Data processing and communication: The IoT device processes and packages data collected by sensors and smart devices at the network edge, and sends it to a data center, another device, or a cloud-based system for processing, data visualization and automation tasks.
- Cloud-based remote management: Sophisticated remote monitoring and managements systems available today — like Digi Remote Manager® — collect data from deployed devices, and provide visibility and control across the network. The cloud-based platform analyzes and manages the data, sends alerts to key personnel, and enables security monitoring and even out-of-band management of remote devices.
By 2030, the IoT-based asset tracking and monitoring market will be worth $8.5 billion. The Compound Annual Growth Rate (CAGR) for this market is 8.74% between 2022 and 2030. These figures show the growing trend of industries adopting IoT technologies to improve asset management and real-time monitoring.
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Source: Precedence Research
The number of asset trackers is expected to reach 267 million worldwide by 2027. This increase shows that businesses in manufacturing, logistics, transportation and supply chain management recognize the value of IoT-based tracking solutions.
How do IoT-based asset management and monitoring differ from conventional systems?
IoT devices have improved the conventional method of managing assets. It offers many more features than conventional solutions. These cutting-edge smart solutions combine processes and workflows to create a unified strategic system.
It offers valuable business intelligence with alerts, real-time data analysis and asset edge control. Other features include real-time visibility, predictive maintenance and automated workflows.
Source: Birlasoft
- Remote asset tracking: IoT's cloud-based technology gives employees remote access to assets.
- Asset health and condition monitoring: IoT helps assess asset health by analyzing health indicators and risks. This enables preventive measures and asset optimization.
- Asset lifecycle management: IoT allows asset managers to track their portfolio assets throughout their lifecycle, maximizing profitability.
- Asset workflow automation: IoT-driven solutions automate repetitive tasks and speed up workflows. This reduces errors and increases team productivity.
- Predictive asset maintenance: This involves using IoT data to predict when assets will fail. It allows organizations to take preventive measures to reduce shutdowns and downtime. The system often uses cached data from previous asset performance assessments to optimize predictive maintenance schedules.
Beyond its superiority to conventional systems, IoT has more benefits in asset management, including:
1. Real-time asset monitoring: IoT sensors continuously gather information on the usage, performance and health of assets. Asset managers can make proactive decisions and intervene quickly with this information.
2. Overall Equipment Effectiveness (OEE): This is a major benefit of IoT in asset management. OEE measures equipment and asset efficiency in manufacturing and production. It considers three factors: availability, performance and quality.
Real-time asset performance, condition and usage data from IoT devices improve OEE.
Source: Birlasoft
3. Improved security and safety: IoT helps asset managers implement access controls and real-time surveillance. IoT devices can also monitor environmental and safety parameters to prevent hazards.
4. Integration with asset management systems: IoT technologies seamlessly integrate with existing asset management systems, such as Computerized Maintenance Management Systems (CMMS) or Enterprise Asset Management (EAM) software. This integration simplifies data management and improves asset visibility.
The following table describes key performance indicators for IoT in asset management.
| KPI |
What It Measures |
IoT Impact |
How it’s Measured |
| Asset Utilization |
% time asset is used productively |
Increases by reducing idle time |
Utilization dashboards, runtime tracking |
| Downtime |
Hours assets are unavailable |
Decreases via predictive maintenance |
Alerts + maintenance logs |
| Maintenance Costs |
Spend on repairs & labor |
Reduced by shifting to proactive service |
CMMS/EAM reporting |
| Loss/Shrink |
Missing or stolen assets |
Reduced via tracking and geofencing |
Location logs, discrepancy audits |
| Compliance Readiness |
Speed and accuracy of audits |
Improved with automated records |
Automated reports + sensor history |
Source: Intuz
IoT-enabled asset management and monitoring solutions use cloud-based platforms, data analytics, IoT devices, sensors and connectivity to provide real-time asset performance and condition insights.
Here's how it typically works:
- IoT devices and sensors: The solution involves installing IoT devices and sensors on assets to monitor temperature, vibration, location, usage and other parameters. These devices can be integrated into assets or attached directly to them.
- Data collection and transmission: IoT devices continuously collect sensor data. Wireless technologies like Wi-Fi, Bluetooth, Zigbee and cellular networks send this data to a central cloud platform.
- Cloud-based platform: A cloud-based platform stores and processes device data. The cloud platform serves as a centralized repository for asset-related information. For example, developers using Platform.sh can easily build, test, and iterate their applications locally before sending them to the cloud.
- Data analytics and processing: Advanced analytics tools and algorithms process the data. This analysis identifies asset performance and health patterns, trends, anomalies and issues.
- Real-time monitoring and alerts: Asset managers and operators can access asset status, location and performance metrics from anywhere with the cloud platform's real-time monitoring capabilities. Features like Chrome Headless can automate web-based interactions with asset-monitoring dashboards. This streamlines the monitoring process for asset managers.
- Predictive maintenance: The solution analyzes historical data and patterns to predict asset maintenance. Predictive maintenance reduces downtime and unexpected failures and increases asset lifespan.
- Asset visualization and reporting: The IoT-enabled solution creates simple dashboards and reports from its data. These visualizations give asset managers actionable insights. Features like Drupal Headless let developers create real-time data visualization front-end interfaces for IoT devices.
- Integration with enterprise systems: The IoT-based asset management solution can support the integration of legacy systems like Enterprise Resource Planning (ERP) and Computerized Maintenance Management Systems (CMMS) to create a comprehensive view of asset-related data.
- Remote control and automation: IoT-enabled asset management solutions can allow operators to remotely adjust settings, perform diagnostics, or trigger actions.
Successfully deploying IoT for asset management requires careful planning across connectivity, data management, and security.
Connectivity and Network Selection
Choosing the right connectivity depends on asset type, location, and data requirements. Cellular networks are ideal for mobile or remote assets, while LPWAN technologies support long-range, low-power use cases. Wi-Fi and Ethernet may be suitable for fixed, on-premises assets. A flexible, scalable connectivity strategy ensures long-term viability as asset portfolios grow.
Sensor Selection and Data Strategy
Not all assets require the same level of monitoring. Organizations should identify which metrics — such as location, temperature, vibration, or usage hours — deliver the most value. Collecting actionable data rather than excessive data helps control costs and simplifies analytics.
Integration with Enterprise Systems
IoT asset data is most valuable when integrated with existing Enterprise Asset Management (EAM), Computerized Maintenance Management Systems (CMMS), and ERP platforms. Integration enables automated work orders, real-time alerts, and data-driven decision-making across operations and maintenance teams.
Security and Device Management
IoT asset management solutions must include strong security measures, such as encrypted communications, device authentication, and secure firmware updates. Centralized device management allows organizations to monitor device health, apply updates remotely, and maintain compliance across thousands of connected assets.
IoT asset management has many applications across industries, even including smart cities and buildings. The following use cases demonstrate how IoT manages and monitors assets. Through real-time monitoring, organizations can continuously collect and transmit asset data, allowing teams to see asset status, location, and condition as events occur.
Fleet Management
IoT-enabled asset tracking monitors vehicle location, fuel consumption, and driver behavior. This data optimizes routes, lowers fuel costs, improves driver safety, and boosts fleet efficiency. Real-time alerts for harsh braking, speeding, excessive idling, or unauthorized vehicle use help managers address issues quickly and reinforce safer driving habits. Over time, the insights also support better vehicle maintenance planning and right-sizing the fleet by revealing utilization patterns across routes and shifts.
Warehouse Management
IoT sensors track inventory levels, stock movement, and storage optimization in warehouses. This prevents stockouts, lowers inventory costs, and streamlines order fulfillment. Real-time visibility into where items are stored — and how quickly they’re moving — helps teams reduce picking time, minimize misplacements, and improve overall accuracy. These insights also support smarter replenishment and layout decisions, making it easier to scale operations during peak demand.
Heavy Equipment Monitoring
IoT sensors on heavy machinery track location and usage in real time. This information helps manage large construction or mining fleets efficiently. By combining telemetry like engine hours, idle time, fuel consumption, and operating conditions, teams can schedule maintenance proactively and reduce unplanned downtime. It also improves utilization by showing which assets are underused, overworked, or in need of redeployment to keep projects on schedule.
Aircraft Maintenance
IoT devices on aircraft components monitor health and performance. They enable predictive maintenance and reduce downtime. By continuously tracking metrics like vibration, temperature, pressure, and wear, maintenance teams can spot early signs of failure and address issues during planned service windows. This improves fleet availability while helping airlines reduce maintenance costs and avoid disruptive, last-minute repairs.
Manufacturing and Industrial Operations
Manufacturers use IoT sensors to monitor equipment health, track utilization rates, and enable predictive maintenance. By continuously collecting data on vibration, temperature, and runtime, organizations can identify early signs of failure and schedule maintenance proactively — reducing unplanned downtime and extending asset lifespans.
Utilities and Energy Infrastructure
Utilities rely on IoT to manage distributed assets such as substations, transformers, meters, and field equipment. Remote monitoring enables faster fault detection, reduces the need for manual inspections, and supports predictive maintenance strategies that improve service reliability and reduce operational costs.
Healthcare and Facilities Management
Hospitals and large facilities use IoT to track critical assets such as medical devices, HVAC systems, and safety equipment. Real-time location data ensures that assets are available when needed, while condition monitoring helps maintain compliance with regulatory and safety standards.
Tracking key performance metrics is crucial for evaluating IoT-based asset management solutions. Monitor the following metrics:
- Asset downtime and uptime: Track the amount of time assets are operational (uptime) and non-functional (downtime). IoT-enabled asset management should reduce downtime and increase uptime, improving asset utilization and productivity.
- Mean time between failures (MTBF): This metric calculates the average time between asset failures. Predictive maintenance and timely repairs increase MTBF, while a decrease indicates asset health and performance issues.
- Overall equipment effectiveness (OEE): IoT-driven asset management should increase OEE to boost productivity and reduce waste.
- Return-on-Investment (ROI): Calculate the financial impact of IoT-based asset management. Compare the solution's costs to its benefits, such as reduced maintenance costs, increased productivity and asset lifespan.
Addressing these points is essential to maximizing IoT's potential while protecting data, assets, and user privacy.
Challenges:
- Interoperability: Integrating diverse IoT devices and platforms may cause communication and data-sharing issues.
- Scalability: Scaling IoT deployments to manage large amounts of data and devices is difficult and resource-intensive.
- Data privacy: Collecting massive amounts of data raises concerns about privacy, ownership and data protection regulations.
- Power management: IoT devices with limited power sources need efficient power management to operate continuously.
Security considerations:
- Data security: Protecting IoT-generated data from unauthorized access and cyberattacks is essential to data integrity and confidentiality.
- Device security: Strong authentication and encryption of IoT devices prevent unauthorized access and control.
- Firmware updates: Updating IoT device firmware regularly to fix security vulnerabilities and prevent exploits.
- Network security: Securing IoT communication channels and networks prevents data theft and unauthorized access to connected devices.
- Supply chain security: Protecting IoT devices and components throughout the supply chain prevents tampering and malicious insertions.
Today, trusted vendors like Digi are integrating sophisticated security capabilities into IoT solutions, and providing the critical monitoring and management tools required to detect and thwart cyber risks, and keep deployed devices secure and up-to-date.
Digi offers a comprehensive list of IoT solutions and services to support your IoT asset management needs:
- The Digi ConnectCore® ecosystem: A suite of embedded development solutions for OEMs to build connected, high-performance products for industrial, manufacturing, medical, retail, and supply chain use cases, with integrated security monitoring and remote management services.
- The Digi XBee® ecosystem: A complete family of wireless communication modules for OEMs to support RF and cellular integration in IoT applications, as well as sensor connectivity and edge computing — with a full suite of tools for development, testing and deployment.
- Digi cellular routers: A full range of cellular solutions for enterprise, industrial and transportation use cases, with the integrated Digi Accelerated Linux operating system (DAL OS), Digi Remote Manager remote monitoring and management platform, and Digi TrustFence® security framework, as well as a suite of value-added services to optimize deployments.
- Digi infrastructure management solutions: An extensive offering of solutions for sensor connectivity, industrial monitoring and control, and out-of-band management.
- Digi Wireless Design Services: A talented team of creative engineers who can take product design and development from concept to manufacturing, and beyond — including ongoing monitoring, management and security services for your deployed devices.
- Digi Professional Services: A team of engineering professionals who can support the planning and deployment of your IoT project — including site surveys, application development, cellular connectivity services, deployment, team training, and ongoing support.
Below are quick answers to common questions about IoT-enabled asset management, including use cases, benefits, challenges, and implementation best practices.
What is asset management and how does IoT enhance it?
Asset management is the process of tracking, maintaining, and optimizing assets across their entire lifecycle, and IoT enhances it by enabling real-time visibility and automation.
Asset lifecycle management includes acquisition, deployment, usage, maintenance, and retirement. IoT adds connected sensors and software that continuously collect asset condition, location, and utilization data—helping teams reduce downtime, improve utilization, and make faster decisions based on live information.
What roles do IoT devices play in asset monitoring and control?
IoT devices monitor assets by collecting data through sensors, transmitting it securely through networks, and making it usable through edge or cloud processing.
Key components include:
- Sensors and tags: GPS, temperature, vibration, humidity, BLE/RTLS
- Connectivity: cellular (LTE/5G), Wi-Fi, LPWAN, Ethernet
- Edge gateways: local filtering and buffering, protocols like MQTT
- Cloud platforms: dashboards, alerts, analytics, and automation
Together, these systems enable real-time monitoring, anomaly detection, and automated workflows such as maintenance alerts or work orders.
What are the key benefits of applying IoT to asset management?
IoT improves asset performance, reduces operational risk, and lowers maintenance costs through continuous monitoring and predictive insights.
Common benefits include:
- Real-time asset monitoring: visibility into condition, location, and status
- Improved utilization: identify idle assets and optimize usage patterns
- Predictive maintenance: detect early issues and reduce unplanned downtime
- Loss prevention: tracking and geofencing reduce shrink and theft
- Better integration: IoT data can connect to EAM and CMMS systems to automate reporting and maintenance workflows
What challenges must organizations consider when deploying IoT-based asset management?
The biggest challenges in IoT-based deploying asset management are connectivity, data quality, security, and integration — especially when scaling across many distributed assets.
Organizations should plan for:
- Connectivity limitations in remote or industrial environments
- Data strategy: collecting the right data (not too much), and turning it into insights
- Legacy asset integration for equipment not built to be connected
- Security and lifecycle management: encryption, authentication, and OTA updates
- Device fleet operations: provisioning, monitoring device health, and patching at scale
Following standards and best practices such as NIST IoT guidance and IEC 62443 can help reduce risk. Additionally, working with a solution provider like Digi that provides end-to-end solutions with integrated security, remote monitoring and management, and available professional services to support your planning and rollout can help ensure a successful deployment.
How should an organization begin implementing IoT for asset management?
Start with one high-value use case, measure baseline performance, and scale once you can prove ROI.
Here are practical steps to follow when implementing IoT in asset management:
- Select priority assets with high downtime, compliance risk, or loss/shrink
- Define success metrics (downtime hours, utilization %, maintenance cost)
- Deploy sensors + connectivity for key parameters (location, temperature, vibration)
- Set up dashboards and alerts for operational teams
- Integrate with EAM/CMMS to automate work orders and asset records
- Scale and refine based on results, expanding to more assets and workflows
How do you measure ROI for IoT asset management?
ROI is typically measured through reduced downtime, improved utilization, lower maintenance costs, and fewer lost assets.
Track baseline and post-deployment metrics such as:
- Unplanned downtime hours
- Maintenance cost per asset
- Asset search time
- Shrink/loss rate
- Mean time between failure (MTBF)
IoT has transformed asset management, helping companies improve efficiency, reduce downtime, and make data-driven decisions. IoT-based solutions streamline workflows with real-time tracking, predictive maintenance, and automation.
Asset management applications will grow as the IoT market grows, boosting productivity and cost savings across industries. However, interoperability and security issues require careful planning and robust implementation measures.
It’s crucial to stay on top of emerging trends that could impact your strategy. For example, developments in machine learning could see AI-powered IoT systems further enhance capabilities.
Managers will more easily be able to extract real-time insights to be applied in various industries, from medicine to AI domain management and investment. (Learn about .ai domains.)
Embracing IoT's potential while addressing these challenges will help businesses stay competitive and grow sustainably in the dynamic and interconnected digital era.
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About the Author
Gregory Batchelor is the Vice President of Growth Marketing at Platform.sh, a unified, enterprise-grade platform for building, running and scaling websites and applications. With over 20 years of experience in the tech sector, including time at companies including Oracle, Cisco and NTT, he has developed a reputation as a marketing and business operations leader. In his spare time, Gregory enjoys spending time with his family, traveling, and playing lots of golf.
Editorial note: This blog post was originally published in December of 2023, and was updated in January of 2026.