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	<title>Definition:Telemetry (insurance) - Revision history</title>
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	<updated>2026-05-02T16:23:03Z</updated>
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		<summary type="html">&lt;p&gt;Bot: Creating new article from JSON&lt;/p&gt;
&lt;p&gt;&lt;b&gt;New page&lt;/b&gt;&lt;/p&gt;&lt;div&gt;📡 &amp;#039;&amp;#039;&amp;#039;Telemetry (insurance)&amp;#039;&amp;#039;&amp;#039; refers to the automated collection and transmission of real-time data from remote sensors, devices, or connected assets — such as vehicles, buildings, industrial equipment, or wearable health monitors — to [[Definition:Insurance carrier | insurers]] and [[Definition:Insurtech | insurtech]] platforms for use in [[Definition:Underwriting | underwriting]], [[Definition:Risk assessment | risk assessment]], [[Definition:Pricing | pricing]], [[Definition:Claims management | claims handling]], and [[Definition:Loss prevention | loss prevention]]. While telemetry as a technology predates the insurance industry&amp;#039;s adoption of it, the term has taken on specific meaning within insurance to describe the data pipelines that feed [[Definition:Usage-based insurance (UBI) | usage-based insurance]], [[Definition:Telematics | telematics]]-driven motor policies, [[Definition:Parametric insurance | parametric triggers]], and connected-property programs. Insurers across major markets — from the United States and United Kingdom to Singapore and China — increasingly treat telemetry data as a core input to their risk models rather than a supplementary source.&lt;br /&gt;
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⚙️ The mechanics vary by line of business. In [[Definition:Motor insurance | motor insurance]], telemetry typically flows from an [[Definition:On-board diagnostics (OBD) | OBD-II]] dongle, smartphone app, or factory-installed vehicle system, capturing speed, acceleration, braking, cornering, time of day, and GPS location. Insurers such as [[Definition:Progressive Corporation | Progressive]] in the U.S. and [[Definition:Admiral Group | Admiral]] in the UK have built entire product lines around these data streams, offering [[Definition:Premium | premium]] discounts to drivers whose telemetry profiles indicate lower risk. In [[Definition:Commercial property insurance | commercial property insurance]], IoT sensors monitoring temperature, humidity, water leaks, or structural vibrations feed telemetry to platforms that can alert [[Definition:Policyholder | policyholders]] and insurers before a loss event escalates — a shift from indemnifying damage after the fact to actively preventing it. Health and [[Definition:Life insurance | life insurers]] in markets like South Africa (through [[Definition:Discovery Limited | Discovery]]&amp;#039;s Vitality program) and across Asia use wearable-device telemetry to incentivize healthier behaviors and refine [[Definition:Mortality | mortality]] and [[Definition:Morbidity | morbidity]] assumptions. The volume and velocity of telemetry data demand robust infrastructure for ingestion, storage, and analysis, which is why many insurers partner with specialized [[Definition:Insurtech | insurtechs]] or cloud-based data platforms rather than building these capabilities entirely in-house.&lt;br /&gt;
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🔑 What makes telemetry transformative for insurance is its potential to fundamentally alter the information asymmetry that has shaped the industry for centuries. Traditional underwriting relies on historical, self-reported, or periodically inspected data; telemetry offers continuous, objective, near-real-time observation of the insured risk. This has profound implications for [[Definition:Adverse selection | adverse selection]] and [[Definition:Moral hazard | moral hazard]]: when behavior is transparently measured, lower-risk individuals can be rewarded and loss-prone behaviors can be flagged or priced accordingly. Yet telemetry also raises significant regulatory and ethical questions around [[Definition:Data privacy | data privacy]], consent, and algorithmic fairness — concerns that regulators in the European Union (under GDPR), California (under CCPA), and other jurisdictions are actively addressing. Insurers that harness telemetry effectively stand to gain competitive advantage in risk selection and customer engagement, but they must navigate an evolving landscape of consumer expectations and regulatory requirements to do so responsibly.&lt;br /&gt;
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&amp;#039;&amp;#039;&amp;#039;Related concepts:&amp;#039;&amp;#039;&amp;#039;&lt;br /&gt;
{{Div col|colwidth=20em}}&lt;br /&gt;
* [[Definition:Telematics]]&lt;br /&gt;
* [[Definition:Usage-based insurance (UBI)]]&lt;br /&gt;
* [[Definition:Internet of Things (IoT)]]&lt;br /&gt;
* [[Definition:Parametric insurance]]&lt;br /&gt;
* [[Definition:Data privacy]]&lt;br /&gt;
* [[Definition:Loss prevention]]&lt;br /&gt;
{{Div col end}}&lt;/div&gt;</summary>
		<author><name>PlumBot</name></author>
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