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📡 '''Internet of Things (IoT)''' refers to the expanding network of connected devices — sensors, wearables, telematics units, smart home systems, and industrial monitors — that collect and transmit real-time data, fundamentally reshaping how [[Definition:Insurance carrier | insurers]] assess, price, and manage [[Definition:Risk | risk]]. In the insurance context, IoT goes far beyond a technology trend; it represents a shift from reactive [[Definition:Claims management | claims]] handling to proactive risk prevention and continuous [[Definition:Underwriting | underwriting]] refinement. From [[Definition:Telematics | telematics]] devices in automobiles feeding driving-behavior data to [[Definition:Commercial insurance | commercial property]] sensors detecting water leaks before they cause catastrophic damage, IoT gives carriers and [[Definition:Insurtech | insurtechs]] access to granular, real-time information that was previously unavailable.

⚙️ Carriers integrate IoT data streams into their [[Definition:Predictive analytics | predictive analytics]] and [[Definition:Pricing model | pricing models]] to move toward usage-based and behavior-based [[Definition:Insurance policy | policies]]. A [[Definition:Motor insurance | motor insurer]], for example, may install or partner with a telematics provider to capture speed, braking patterns, and mileage, then adjust [[Definition:Premium | premiums]] dynamically through a [[Definition:Usage-based insurance (UBI) | usage-based insurance]] program. In [[Definition:Property insurance | property]] lines, smart-building sensors can trigger automated alerts — and even shut off water mains — when anomalies are detected, reducing [[Definition:Loss ratio (L/R) | loss ratios]] and enabling insurers to reward policyholders who adopt loss-prevention technology. On the [[Definition:Claims management | claims]] side, IoT evidence (such as timestamped sensor readings) can accelerate [[Definition:Claims adjudication | adjudication]] and reduce [[Definition:Insurance fraud | fraud]] by providing objective, machine-generated records of events.

💡 The strategic importance of IoT for the insurance industry cannot be overstated. It enables a paradigm where insurers shift from simply indemnifying losses after they occur to actively helping [[Definition:Policyholder | policyholders]] prevent them — a model sometimes described as "insurance-as-a-service." This creates a virtuous cycle: fewer claims improve profitability, lower premiums attract customers, and richer data refine [[Definition:Risk selection | risk selection]] further. However, IoT adoption also introduces challenges around [[Definition:Data privacy | data privacy]], [[Definition:Cybersecurity | cybersecurity]] of the devices themselves, and the need for robust [[Definition:Data governance | data governance]] frameworks to ensure [[Definition:Regulatory compliance | regulatory compliance]]. Insurers and [[Definition:Managing general agent (MGA) | MGAs]] that harness IoT effectively stand to gain significant competitive advantages in both personal and commercial lines.

'''Related concepts'''
{{Div col|colwidth=20em}}
* [[Definition:Telematics]]
* [[Definition:Usage-based insurance (UBI)]]
* [[Definition:Predictive analytics]]
* [[Definition:Insurtech]]
* [[Definition:Data privacy]]
* [[Definition:Cybersecurity]]
{{Div col end}}

Definition:Internet of Things (IoT) - Revision history

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