Service as a data business: the telemetry asset most robot vendors are sitting on
The telemetry asset most robot vendors are sitting on
Every connected robot streams data: motor currents, joint temperatures, cycle times, error codes, battery health, and more. Most vendors treat this stream as a by-product of remote monitoring—a way to react to failures. But under the EU Data Act (Regulation (EU) 2023/2854), that same stream is a regulated asset with commercial potential. The vendors who recognize this early will turn service from a cost center into a data business. Those who don’t will face compliance pressure and missed revenue.
This article explains how service telemetry becomes a data asset, how the Data Act shapes its use, and how to monetize it—without overstating what is possible today.
From raw telemetry to structured data asset
Telemetry is not inherently valuable. It becomes an asset when it is cleaned, structured, and enriched with context. For a fleet of robots, that means:
- Fleet analytics: Aggregating performance metrics across machines to benchmark utilization, energy consumption, and throughput.
- Failure prediction: Using historical failure patterns to forecast component wear and recommend preemptive maintenance.
- Parts demand forecasting: Correlating error codes and usage hours with spare part consumption to optimize inventory.
Each of these requires a data pipeline that normalizes telemetry from different robot models and customer sites. The value lies in the aggregation—single-robot data is useful for reactive service, but fleet-level data is what enables predictive and prescriptive actions.
Why most vendors are sitting on it
Many vendors collect telemetry only for warranty management or basic remote diagnostics. They store it in silos, often in proprietary formats, and rarely analyze it beyond immediate troubleshooting. The reasons are familiar: lack of data engineering talent, unclear ROI, and concerns about customer data ownership. But the Data Act changes the ownership and access rules, forcing vendors to think about data governance and sharing.
The Data Act: what it means for telemetry
Regulation (EU) 2023/2854, commonly known as the Data Act, entered into force on 11 January 2024 and applies from 12 September 2025. It establishes rules on fair access to and use of data generated by connected products and related services. Key provisions relevant to robot vendors:
- User access rights: Users (e.g., the company operating the robots) have the right to access the data generated by their use of the product, and to share it with third parties. Vendors cannot lock users out of their own data.
- Data sharing obligations: In exceptional circumstances (e.g., public emergencies), public sector bodies can request data from holders. This is a narrow exception but shows the regulatory direction.
- Trade secrets protection: The regulation includes safeguards for trade secrets, but vendors must demonstrate legitimate efforts to protect them.
- Unfair contract terms: Contract clauses that prevent users from accessing or using data are prohibited if they are unfair.
For a robot vendor, the practical implication is that you must provide users with access to the telemetry they generate—in a structured, machine-readable format, without undue delay, and free of charge. This is not optional; it is a legal obligation. Vendors who already have a clean data infrastructure will find compliance easier and can turn this obligation into a business opportunity.
Monetizing telemetry: three proven paths
Once you have a compliant data foundation, you can monetize telemetry in several ways. The most direct is improving your own service offering, but there are also external revenue streams.
1. Premium service contracts with predictive maintenance
Use telemetry to offer uptime guarantees. If you can predict failures, you can schedule maintenance before breakdowns occur, reducing downtime. Customers will pay a premium for this. The data asset is your differentiator—competitors without telemetry analytics cannot match the same guarantee.
2. Data-driven spare parts planning
Share aggregated, anonymized failure data with your supply chain partners. This improves parts availability and reduces inventory costs. You can charge for this data or negotiate better terms from suppliers who benefit from your forecasts.
3. Benchmarking reports for customers
Provide customers with anonymized fleet benchmarks—how their robots compare to industry averages. This is a value-added service that strengthens customer relationships and can be sold as a subscription.
These paths are not mutually exclusive. Many vendors combine them, but each requires a clear data governance framework.
Comparison: data type vs. value
| Data type | Example fields | Primary use case | Monetization potential | Data Act relevance |
|---|---|---|---|---|
| Operational telemetry | Cycle time, motor current, temperature | Fleet analytics, efficiency benchmarking | Medium—enables premium service contracts | User access right applies |
| Error and diagnostic logs | Error codes, fault timestamps | Failure prediction, root cause analysis | High—predictive maintenance reduces downtime | User access right applies |
| Usage and wear data | Hours of operation, component wear indicators | Parts demand forecasting | High—optimizes inventory, reduces cost | User access right applies |
| Environmental data | Ambient temperature, humidity, vibration | Contextual analysis, site-specific optimization | Low to medium—enhances other data | May be considered related data |
| Aggregated fleet benchmarks | Anonymized performance statistics | Industry insights, customer reports | High—can be sold as a subscription | Must ensure anonymization |
Practical steps to turn telemetry into a data asset
Building a data asset is not a one-time project. It requires ongoing investment and a clear strategy. Here is a roadmap:
- Audit your data collection: Identify what telemetry you already collect and where it is stored. Map it to the Data Act’s definitions of ‘product data’ and ‘related service data’.
- Implement a data platform: Centralize telemetry in a cloud-based data lake or warehouse. Ensure it is structured, time-stamped, and accessible via APIs.
- Develop analytics models: Start with descriptive analytics (dashboards), then move to predictive models. Use historical failure data to train algorithms.
- Create data governance: Define who has access to what, how data is anonymized, and how user access requests are handled. This is critical for Data Act compliance.
- Monetize incrementally: Begin with internal improvements (service efficiency), then offer premium services, and finally consider external data products.
Risks and honest caveats
Monetizing telemetry is not without risks. First, the Data Act is new, and its interpretation may vary across EU member states. The European Commission has published guidelines, but specific obligations for robot vendors are still being clarified. Second, customers may be wary of sharing data, even if the law allows it. Building trust requires transparency about what you collect and how you use it.
Third, the value of telemetry depends on the quality and volume of data. A small fleet may not generate enough data for meaningful analytics. In that case, partnering with other vendors or using industry benchmarks may be necessary.
Finally, trade secret protection is a legitimate concern. You can protect your analytics algorithms, but raw telemetry is not a trade secret—it is user data. The Data Act requires you to share it with users, but you can still differentiate through your analytical models.
Conclusion
Service telemetry is not just a by-product of connected robots; it is a strategic asset. The EU Data Act forces vendors to give users access to this data, but it also creates a level playing field where those who invest in data infrastructure can reap the benefits. By building a data platform, developing analytics, and offering data-driven services, robot vendors can transform their service operations from a cost center into a revenue generator.
For a local service network being set up in Europe, such as Robanchor, the opportunity is clear: a certified technician network that can help vendors implement these data strategies, from compliance to monetization. But the first step is recognizing that the data is already there—waiting to be used.
Sources
- EUR-Lex — Regulation (EU) 2023/2854 — https://eur-lex.europa.eu/eli/reg/2023/2854/oj (accessed 2026-08-16)
- IDC — Robotics market — https://www.idc.com/ (accessed 2026-08-16)