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🚗 '''Connected vehicle''' refers to an automobile equipped with internet connectivity and onboard sensors that enable it to communicate with external systems — including the manufacturer's cloud infrastructure, other vehicles (V2V), road infrastructure (V2I), and mobile devices. In the insurance industry, connected vehicles represent a transformative data source that is reshaping [[Definition:Auto insurance | auto insurance]] [[Definition:Underwriting | underwriting]], [[Definition:Claims management | claims handling]], [[Definition:Fraud detection | fraud detection]], and product design. The continuous stream of [[Definition:Telematics | telematics]] data generated by these vehicles — covering driving behavior, speed, braking patterns, location, mileage, and vehicle diagnostics — gives [[Definition:Insurance carrier | insurers]] an unprecedented window into individual risk, moving far beyond the traditional rating variables of age, geography, and vehicle type.

📡 Insurers access connected vehicle data through several channels: embedded OEM (original equipment manufacturer) telematics systems built into the vehicle at the factory, aftermarket [[Definition:Telematics | telematics]] dongles plugged into the diagnostic port, or smartphone-based apps that use the phone's sensors as a proxy. The richest data comes from OEM integrations, where partnerships between automakers and insurers — or data intermediaries such as Verisk, LexisNexis, and various [[Definition:Insurtech | insurtech]] startups — allow near-real-time access to driving metrics with the policyholder's consent. This data powers [[Definition:Usage-based insurance (UBI) | usage-based insurance]] programs, including pay-per-mile and pay-how-you-drive models, which price coverage based on actual driving behavior rather than statistical proxies. On the claims side, connected vehicle data can reconstruct accident dynamics with precision, accelerating [[Definition:First notice of loss (FNOL) | first notice of loss]], supporting [[Definition:Subrogation | subrogation]] efforts, and identifying potentially fraudulent claims where reported circumstances conflict with sensor data.

🌐 The proliferation of connected vehicles raises strategic and regulatory questions that the insurance industry is actively navigating across global markets. In the European Union, the eCall regulation already mandates automatic emergency calling systems in new vehicles, while data privacy rules under the GDPR impose strict requirements on how insurers collect, store, and use driving data. In China, where connected vehicle adoption has accelerated rapidly, insurers are integrating vehicle data into pricing models under the evolving regulatory framework overseen by the [[Definition:National Financial Regulatory Administration (NFRA) | National Financial Regulatory Administration]]. As vehicles become increasingly autonomous — blending connectivity with [[Definition:Advanced driver assistance system (ADAS) | advanced driver assistance]] and self-driving capabilities — the fundamental question of liability shifts from the driver to the vehicle manufacturer and software provider, which could eventually transform [[Definition:Auto insurance | auto insurance]] from a mass personal lines product into something more resembling a [[Definition:Product liability insurance | product liability]] or technology errors-and-omissions exposure. Insurers that build the infrastructure to ingest, analyze, and act on connected vehicle data today are positioning themselves for a market that will look fundamentally different within the coming decade.

'''Related concepts:'''
{{Div col|colwidth=20em}}
* [[Definition:Telematics]]
* [[Definition:Usage-based insurance (UBI)]]
* [[Definition:Auto insurance]]
* [[Definition:Advanced driver assistance system (ADAS)]]
* [[Definition:Insurtech]]
* [[Definition:Fraud detection]]
{{Div col end}}

Definition:Connected vehicle - Revision history

PlumBot: Bot: Creating new article from JSON