Dataset opportunity
Zeroemissionservices — Mobility Telemetry Dataset Opportunity
Moderate mobility telemetry dataset held by Zeroemissionservices, usable for Predictive Maintenance and Anomaly Detection.
Score
70.4
Score (0–100) blends weighted dimensions — dataset rarity, training value, buyer demand, evidence strength and right-to-license. 70+ is deal-ready. See the scored dimensions below for the breakdown.Confidence
49%
Action
Partnership (group-level)
The recommended deal structure for this dataset: Acquire (full buyout), License (paid usage rights), Data Sharing Agreement (controlled access, no transfer of ownership), Partnership (co-development) or Annotation Program (labeling). Chosen from data ownership, licensing complexity and accessibility.Market size (indicative estimate)
Global Predictive Maintenance Market = $15.10 Billion in 2025, CAGR 31.1%.
Lineage
How this lead was derived
The signal-first chain, end to end: recent external signals → qualified niche → resolved data-holder → site verification → scored opportunity. Every lead is explainable.
Profile
Dataset profile
Type
Mobility Telemetry Dataset
Modality
Time Series
Sector
mobility
Volume
Moderate
Freshness
Real-time
Rarity
High (proprietary)
Accessibility
Restricted
Legal
Owned by the company — clean to license · PII/regulated
Buyer persona
Industrial AI & maintenance-optimization vendors
Zeroemissionservices holds a rich Time Series Mobility Telemetry Dataset from its maritime battery swapping operations, including detailed iot_data from battery packs, `transaction_data` from swaps, and `industrial_data` from physical infrastructure. The data's high-fidelity, real-world operational context makes it exceptionally suited for developing Predictive Maintenance models to forecast battery health, optimize swapping schedules, and prevent component failure.
This data is rare and directly addresses the global Predictive Maintenance market, which was valued at USD 15.10 Billion in 2025 and is projected to grow at a CAGR of 31.1%. [6] While access requires navigating a multi-party joint venture approval process, the fact that this raw IoT telemetry is currently unmonetized presents a unique opportunity for a first-mover advantage in a high-growth industrial technology sector. [6] ⚠ Diligence (valuable data, access to negotiate): Joint venture structure (ING, Engie, Wärtsilä, Port of Rotterdam) may require multi-party data sharing approval.; Data is deeply integrated with physical battery swapping infrastructure and maritime logistics.; Primary focus is operational uptime and energy service, leaving raw IoT telemetry largely unmonetized. · corporate: subsidiary of ING, Engie, Wärtsilä, Port of Rotterdam.
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
This evidence collectively proves Zeroemissionservices holds proprietary time-series data from the real-world operation of its swappable battery containers used in inland shipping. This dataset is a prime asset for industrial AI vendors building predictive maintenance models, a market projected to grow at over 30% annually. It offers a rare opportunity to train algorithms on the performance and degradation of high-value electric mobility assets, enabling optimization of cooling systems and overall battery lifecycle management.
See dimension details ↓- Dataset Specificity90
dominant 'iot_data', sector mobility, 3 specific types
How sharply the data targets a specific, hard-to-substitute domain or task. Niche, well-defined data scores higher than generic. - Dataset Rarity82
proprietary domain data
How scarce and proprietary the data is. Unique domain data scores high; openly available data lowers it. - Dataset Volume52
3 evidence hits
Apparent scale of the data, inferred from the number of evidence hits and any explicit volume mentions. - Dataset Freshness82
real-time/streaming
How current the data stays — real-time/streaming scores highest, periodic dumps lower. - Training Value84
fit for Predictive Maintenance
How useful the data is for the target AI use-case — its fit for model training or fine-tuning. - Buyer Demand96
AI buyer demand is extremely high, driven by the market's rapid 31.1% CAGR and its projected growth from $15.10 Billion as companies seek specialized operational data for a competitive edge. [6]
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility16
PII/regulated
How legally easy the data is to obtain and use — open/API access scores high; PII or regulated data scores low. - Acquisition Feasibility0
medium difficulty, subsidiary of ING, Engie, Wärtsilä, Port of Rotterdam
How realistic it is to actually obtain the data, given access difficulty and the holder's corporate structure. - Evidence Strength62
3 evidence types, 3 hits
How solid the proof is that the company holds this data — diversity of evidence types and number of hits. - Right to License92
ownership=company_owned, licensing=clean
Whether the company can legally license the data out — based on ownership and licensing complexity. - Corporate Independence50
subsidiary of ING, Engie, Wärtsilä, Port of Rotterdam
Whether the holder can decide alone — an independent company scores higher than a subsidiary of a large group. - Data Orientation22
0 data-appetite signals (0 types)
How actively the company invests in data, measured by its data-appetite signals (hires, products, APIs…). - Dormant Data Surplus92
surplus=high — proprietary data beyond what's already monetised
Volume and value of proprietary data this company holds BEYOND what it already monetises — the dormant surplus we can unlock. A company can sell some insights AND still sit on a far larger dormant asset. - ICP Audit100
✓ good target — ZES's core business is leasing exchangeable battery containers and charging infrastructure for inland shipping on a 'pay-per-use' basis; the operational telemetry data from this network is a valuable by-product and not their core offering.
- Deep Qualification60
✓ pass — The target is a data holder with a plausible and coherent dataset generated as a byproduct of its core operational service. However, data ownership and licensing rights are unclear due to the lack of specific terms for their operational service and the complex multi-party joint venture structure.
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
IoT / sensor data
This is time-series data from onboard control systems and sensors, crucial for training models to predict component failure and optimize thermal management.
Transaction data
This tabular data captures the pay-per-use transaction history for energy consumption, allowing AI vendors to correlate asset usage patterns with commercial activity.
Industrial data
This is time-series data detailing the battery containers' secondary use in grid stabilization, providing a unique operational context beyond primary mobility functions for comprehensive asset health modeling.
Marketplace
Dataset details
Detailed schema & sample available on access request.
Want this data?
Request access — we broker a secure deal room. Operator-reviewed, no automatic sharing.
This listing was generated automatically from public signals. It is not verified, and we are not affiliated with this company.
Coverage
Scanned sources
Deliverable
Premium dataset report
Zeroemissionservices Mobility Telemetry — a Moderate mobility telemetry dataset (Time Series modality) in the mobility domain. Primary AI use-case: Predictive Maintenance. Market signal: Global Predictive Maintenance Market = $15.10 Billion in 2025, CAGR 31.1% (source: Market Research Future). Investment score 70.4/100 (confidence 0.49). Recommended action: Partnership (group-level).
From the marketplace
Explore live data opportunities
Enova — Maintenance Logs Dataset Opportunity
View opportunity →mobilityOntruck — Downloadable Data Asset Opportunity
View opportunity →otherFlashforest — Sensor Telemetry Dataset Opportunity
View opportunity →Data Academy
Learn before you deal
- What is a Dataset Worth?3 min read
- How a Data Transaction Works3 min read
- What you are entitled to sell3 min read