Clickstreams vs. Mobility Streams
The Google/Meta parallel: when the web scaled, those companies turned small, continuous signals from billions of users into a compounding flywheel of relevance and monetization. Their per-user telemetry is measured in megabytes per day—e.g., ~11.6 MB/day on Android in real-world tests. By contrast, a single connected vehicle can generate ~25 GB of data per driving hour—thousands of times more raw signal—and that stream is rich with real-world context (battery, behavior, terrain, pricing) that directly powers products in energy, risk, reliability, and mapping.
EVs on the S-Curve
The timing also rhymes: EV adoption is hitting scale, with electric car sales exceeding 17 million in 2024 and more than 20% global share, putting the category on a web-like S-curve. In short, Google and Meta show how data flywheels create category leaders but with richer signal density per asset (the vehicle) and clearer line-of-sight monetization across operations, licensing, and credits as EVs go mainstream.
From Browsers to Boulevards
Today, gravity is shifting from browsers to boulevards. If a web trail is a postcard from a trip, a connected vehicle is the black box of the journey—state, behavior, environment, and commerce, all in motion. Where the web monetizes sparse signals, mobility generates rich, continuous telemetry: battery and powertrain health, location and speed, braking and acceleration, temperature and terrain, charging activity and grid interplay, even road friction and queue times. Under high-fidelity logging, raw streams can reach tens of gigabytes per hour; even with practical, consented downsampling, retained data often sits orders of magnitude above the ad-tech baseline. The delta isn’t just volume; it’s actionable context.
New Value Pools
That context opens new value pools. Insurers see the potential to move beyond proxies toward exposure rooted in real behavior and environment—pricing risk with greater precision and settling claims faster with verified signals. Energy providers and grid operators can imagine demand response and low-carbon orchestration that align economics with system stability. Lenders and residual value stakeholders gain a clearer picture of asset health and duty cycles. Operators—from last-mile to municipal fleets—can improve uptime and service reliability with predictive insights. And map providers can keep their networks “alive,” with real-time lanes, closures, weather micro-events, and charging availability that reflect the world as it is, not as it was.
Second-Order Effects
There are also second-order effects worth flagging. Better visibility into battery health, for instance, can stabilize financing costs and improve secondary market liquidity. More accurate ETAs and road condition data can lift customer satisfaction and contract adherence. Standardized schemas across manufacturers can reduce integration friction and expand addressable markets.
Data Becomes Fuel
Electric adoption is rising, software-defined vehicles are becoming the norm, and charging infrastructure is scaling. As those curves steepen, the denominator—connected assets in the field—expands, and so does the likelihood that previously niche datasets become foundational inputs for underwriting, dispatch, routing, maintenance, and planning. In that world, “data exhaust” stops being exhaust; it becomes fuel.
History Rhymes
History doesn’t repeat, but it rhymes. The web rewarded those who mapped intent and attention. Mobility may reward those who can responsibly translate motion into outcomes that matter to insurers, energy systems, operators, and citizens. From clicks to roads, from whispers to engines, the potential is straightforward: when movement becomes measurable—and measurably valuable—the monetization of motion follows.