https://www.insurerbrain.com/w/index.php?action=history&feed=atom&title=Definition%3AIoT 2026-06-13T21:03:04Z Revision history for this page on the wiki MediaWiki 1.43.8 https://www.insurerbrain.com/w/index.php?title=Definition:IoT&diff=9280&oldid=prev 2026-03-11T05:11:49Z

<p>Bot: Creating new article from JSON</p> <p><b>New page</b></p><div>📡 &#039;&#039;&#039;IoT&#039;&#039;&#039; — the Internet of Things — describes the network of internet-connected physical devices that collect and transmit data, and it has become a transformative force in the [[Definition:Insurance industry | insurance industry]] by enabling real-time [[Definition:Risk assessment | risk assessment]], dynamic [[Definition:Pricing | pricing]], and proactive [[Definition:Loss prevention | loss prevention]]. In insurance, IoT encompasses everything from [[Definition:Telematics | telematics]] devices in vehicles and smart home sensors to wearable health monitors and industrial equipment trackers. These devices generate continuous streams of data that allow [[Definition:Insurance carrier | insurers]] and [[Definition:Insurtech | insurtech]] firms to move beyond historical [[Definition:Actuarial analysis | actuarial models]] toward real-time, behavior-based [[Definition:Underwriting | underwriting]].<br /> <br /> ⚙️ The mechanics are straightforward: a sensor or connected device captures data — driving speed, water leak detection, heart rate, factory temperature — and transmits it to a platform where it is analyzed, often using [[Definition:Artificial intelligence (AI) | artificial intelligence]] or [[Definition:Machine learning | machine learning]] algorithms. Insurers use this information at multiple stages of the [[Definition:Insurance value chain | value chain]]. During underwriting, IoT data sharpens [[Definition:Risk selection | risk selection]] by revealing actual behaviors rather than relying on proxies. During the policy term, it powers [[Definition:Usage-based insurance (UBI) | usage-based insurance]] models where [[Definition:Premium | premiums]] adjust based on measured activity. And in [[Definition:Claims management | claims management]], sensor data can corroborate or challenge the circumstances of a [[Definition:Loss | loss]], accelerating [[Definition:Claims adjudication | adjudication]] and reducing [[Definition:Insurance fraud | fraud]].<br /> <br /> 🔑 What makes IoT particularly consequential for the industry is its potential to shift insurance from a reactive, indemnity-focused model to a preventive one. A smart water sensor that alerts a [[Definition:Policyholder | policyholder]] before a pipe bursts doesn&#039;t just reduce the [[Definition:Claim | claim]] — it eliminates it. This realignment of incentives benefits carriers through lower [[Definition:Loss ratio (L/R) | loss ratios]], benefits customers through fewer disruptions and potentially lower costs, and creates new product categories entirely. The challenge lies in managing vast data volumes, ensuring [[Definition:Data privacy | data privacy]] compliance, and integrating IoT feeds into legacy [[Definition:Policy administration system | policy administration systems]] — hurdles that have become a primary focus for insurtech innovation.<br /> <br /> &#039;&#039;&#039;Related concepts:&#039;&#039;&#039;<br /> {{Div col|colwidth=20em}}<br /> * [[Definition:Telematics]]<br /> * [[Definition:Usage-based insurance (UBI)]]<br /> * [[Definition:Machine learning]]<br /> * [[Definition:Smart home insurance]]<br /> * [[Definition:Predictive analytics]]<br /> * [[Definition:Data privacy]]<br /> {{Div col end}}</div>

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