Dataset opportunity
Jachttrans — Mobility Telemetry Dataset Opportunity
Moderate mobility telemetry dataset held by Jachttrans, usable for Predictive Maintenance and Anomaly Detection.
Score
69.5
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
Acquire
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 Commercial Vehicle Telematics market size was valued at USD 24.3 billion in 2024, estimated to register a CAGR of 12.9%.
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.
Concrete evidence this company actively cares about data — why it's ripe for the deal room.
- ✨Signal
Operational scale: 20+ truck combinations performing 20+ weekly international transports
source ↗
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
Jachttrans holds a Mobility Telemetry Dataset in a Time Series modality, containing valuable `industrial_data` and `iot_data` from their vehicle transport operations. This historical data, rich with cross-border logistics patterns and vehicle telemetry, is directly applicable for training Predictive Maintenance AI models to anticipate vehicle and component failures before they occur. [1, 12, 13]
The global Commercial Vehicle Telematics market was valued at USD 24.3 Billion in 2024 and is projected to grow at a 12.9% CAGR, indicating massive business value. [2] Although the data may require manual extraction support from legacy systems due to the company's structure, its inherent rarity and specificity in the niche of yacht transport logistics provide a unique and valuable resource for AI buyers seeking to build specialized, high-performance predictive models. [2] ⚠ Diligence (valuable data, access to negotiate): Data is likely stored in legacy transport management systems or manual logs; Small family-owned structure may require manual extraction support; Primary value lies in historical cross-border logistics patterns and vehicle transport telemetry · corporate: independent.
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
This evidence collectively proves Jachttrans owns a proprietary dataset generated by its active fleet of over twenty commercial trucks operating across Europe. This high-rarity time-series data is a critical asset for Industrial AI vendors seeking to build and refine predictive maintenance models. In a global telematics market valued at over $24 billion and growing rapidly, this dataset provides the real-world vehicle telemetry and operational signals needed to gain a competitive edge.
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 Demand85
AI buyer demand is high, driven by the rapid expansion of the global commercial vehicle telematics market, which is projected to grow at a 12.9% CAGR as companies increasingly use this data for operational efficiency and predictive maintena
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
low difficulty, independent
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=owned, licensing=clean
Whether the company can legally license the data out — based on ownership and licensing complexity. - Corporate Independence90
independent
Whether the holder can decide alone — an independent company scores higher than a subsidiary of a large group. - Data Orientation39
1 data-appetite signals (1 types)
How actively the company invests in data, measured by its data-appetite signals (hires, products, APIs…). - Dormant Data Surplus70
surplus=medium, 2 recent external signals — 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 — Jachttrans is an ideal target as it is a contactable SME with a core logistics business (fleet of 20+ trucks) that generates proprietary fleet telemetry data as a by-product and does not currently monetize it. [1, 2, 5]
- Deep Qualification80
✓ pass — Jachttrans is a traditional transport and logistics company, not a data seller. The 'Mobility Telemetry Dataset' is a plausible byproduct of its extensive European operations, as they mention using the 'latest trucks' and 'efficient planning', and offer clients the ability to track shipments. Data o
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
press
- “Dans la foulée du plan futuREady, le groupe Renault annonce plusieurs nominations, dont celle de Quitterie de Pelleport au poste de secrétaire générale. Sandra Gomez et François Lavernos sont également promus dans cette nouvelle organisation.”
- “<figure><div><img src="https://imgproxy.divecdn.com/xOQQba6gc7uUfxx5s0k0HuOFXJmr9m8UWGYWBmeJaJ8/g:ce/rs:fill:1600:900:1/Z3M6Ly9kaXZlc2l0ZS1zdG9yYWdlL2RpdmVpbWFnZS9UTU5BLUhlYWRxdWFydGVycy1FeHRlcmlvci1FbnRyYW5jZS0xNTAweDEwNjEuanBn.webp" /></div></figure><p>Changes include expanded roles for Group VP of Supply Chain Kevin Austin and Group VP of Vehicle Supply Chain Kensuke Morita.</p>”
IoT / sensor data
The company confirms operating more than twenty truck combinations throughout Europe, generating proprietary IoT data that directly reflects real-world vehicle telemetry and fleet performance.
Transaction data
This tabular evidence details the company's core business of vehicle transport to specific countries like Spain and Portugal, providing essential logistical context to the time-series signals.
Industrial data
The holder captures structured industrial data via customer intake forms for vehicle transport, offering granular, cargo-specific details that enrich the core operational dataset.
Marketplace
Dataset details
Geographic coverage
Europe
Time range
Historical (exact range not specified) + Real-time
Update frequency
Real-time
Delivery
Manual extraction support required, likely CSV export or d
Formats
Time Series, Industrial Data, IoT Data
License
One-time license for use in training predictive maintenance AI models. Manual extraction support may be required.
Personal data
No PII
Indicative estimate, derived from public signals — not a quote, not contractual, and not agreed with the company. Is this your company? Correct it.
This proprietary, high-rarity time-series mobility telemetry dataset is critical for training predictive maintenance AI models within the rapidly growing global commercial vehicle telematics market, valued at over $24 billion.
Detailed schema & sample available on access request.
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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
Jachttrans Mobility Telemetry — a Moderate mobility telemetry dataset (Time Series modality) in the mobility domain. Primary AI use-case: Predictive Maintenance. Market signal: Global Commercial Vehicle Telematics market size was valued at USD 24.3 billion in 2024, estimated to register a CAGR of 12.9% (source: Precedence Research). Investment score 69.5/100 (confidence 0.49). Recommended action: Acquire.
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