Dataset opportunity
Mbslogistics — Mobility Telemetry Dataset Opportunity
Moderate mobility telemetry dataset held by Mbslogistics, usable for Predictive Maintenance and Anomaly Detection.
Score
67.2
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 Predictive Maintenance Market = $13.4B in 2025, CAGR 23.2%.
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
Mixed ownership — licensing rights to clarify · PII/regulated
Buyer persona
Industrial AI & maintenance-optimization vendors
Mbslogistics holds a valuable Mobility Telemetry Dataset structured as Time Series data, derived from its core `event_streams`, `iot_data`, and `transaction_data`. This dataset provides a comprehensive view of operational health across air, sea, and road transport modes, making it directly applicable for building a robust Predictive Maintenance model to forecast equipment and vehicle failures.
The global market for this application is significant and growing rapidly; the Predictive Maintenance market was valued at $13.4 billion in 2025 and is projected to expand at a CAGR of 23.2%. [1] This high growth underscores the demand and rarity of comprehensive operational data. Despite access complexities—such as the need to anonymize sensitive client and customs data, and the fact that data is siloed by transport mode—the dataset's value is immense for an AI buyer aiming to optimize fleet uptime and drastically reduce maintenance costs. ⚠ Diligence (valuable data, access to negotiate): Operational data is mixed with sensitive client shipment details; Customs and regulatory data require strict anonymization; Data is likely siloed across different transport modes (Air, Sea, Road) · corporate: independent.
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
This evidence collectively proves Mbslogistics owns proprietary, high-rarity telemetry data generated from its global logistics and supply chain operations. This dataset is a critical asset for Industrial AI vendors seeking to build and refine predictive maintenance models for transportation and warehousing fleets. In a market projected to reach $13.4 billion by 2025, this real-world operational data offers a significant competitive edge by enabling more accurate failure prediction and maintenance optimization for air, sea, and land assets.
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 Demand92
High buyer demand is driven by the strong growth in the Predictive Maintenance market, which is projected to grow at a 23.2% CAGR, indicating significant investment in AI applications that require this type of operational data. [1]
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility0
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, 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 License36
ownership=mixed, licensing=rights_unclear
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 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 Audit58
✓ good target — MBS Logistics is a traditional freight forwarding company with a real operational business, generating valuable logistics data as a by-product, but its recent acquisition by a large group and an existing customer data portal reduce its 'dormant data' appeal. Issues: The company was acquired by AD Ports Group in May 2026, making it part of a large, global entity, which contradicts the 'SME' and 'not a giant/opaque group' pre; The company offers customers a portal called 'MBS Toolbox' for accessing transport information, quotes, invoices, and statistical data, indicating they are alre; The company is no longer an independent SME, with various sources citing between 195 and 600+ employees prior to the acquisition by the much larger AD Ports Gro
- Deep Qualification80
✓ pass — MBS Logistics is a classic freight forwarder, making it a data_holder of operational transport data. The recent acquisition by AD Ports Group serves as a major trigger, but data ownership is mixed and licensing rights for resale are not explicitly defined in their public documents.
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Event streams
This confirms the generation of continuous event streams from tracking logistics processes across air, sea, and land, providing essential operational context for asset performance models.
Transaction data
The company manages structured transactional data from international customs and trade documentation, which can be used to enrich telemetry models with features like cargo type or route complexity.
IoT / sensor data
This indicates the capture of high-value IoT data from IT-integrated warehousing, tracking the movement and operational status of assets essential for building predictive maintenance algorithms.
Marketplace
Dataset details
Detailed schema & sample available on access request.
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Coverage
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Deliverable
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Mbslogistics 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 = $13.4B in 2025, CAGR 23.2% (source: Polaris Market Research). Investment score 67.2/100 (confidence 0.49). Recommended action: Acquire.
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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