Dataset opportunity
Wj — Mobility Telemetry Dataset Opportunity
Moderate mobility telemetry dataset held by Wj, usable for Predictive Maintenance and Anomaly Detection.
Score
73.4
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
56%
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, with a projected CAGR of 31.1% (2026-2035).
Recent dated external facts that triggered this opportunity — auditable provenance.
- 📰press2026-08-03
GRAHAM wins final contract on £323m Didcot roads upgrade
constructionenquirer.com ↗
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.
- 📦Data product
Developed a carbon footprint calculator to reformulate products and reduce embedded carbon.
source ↗
Profile
Dataset profile
Type
Mobility Telemetry Dataset
Modality
Time Series
Sector
mobility
Volume
Moderate
Freshness
Real-time
Rarity
Medium
Accessibility
Partial
Legal
Owned by the company — licensing rights to clarify
Buyer persona
Industrial AI & maintenance-optimization vendors
Wj holds a comprehensive Mobility Telemetry Dataset structured as Time Series data, evidenced by its geo_data, iot_data, and industrial_data components. This rich dataset is directly applicable to Predictive Maintenance use cases, enabling the development of models to forecast infrastructure and vehicle component failures, thereby optimizing maintenance schedules and minimizing operational downtime.
The data addresses a significant and rapidly expanding market; the global Predictive Maintenance market was valued at $15.10 billion in 2025 and is projected to grow at a CAGR of 31.1% through 2035. [3] While access requires diligence due to potential shared data ownership with public authorities and GDPR compliance for public space monitoring, the company's ownership by a private equity firm implies professional data governance. This structure, combined with the high-growth market, makes the dataset a valuable and strategically important asset for AI buyers despite the access complexities. ⚠ Diligence (valuable data, access to negotiate): Data ownership may be shared with local authorities or National Highways depending on specific service contracts.; CCTV and Stopped Vehicle Detection data involves public space monitoring, requiring GDPR/privacy diligence.; Owned by THI Investments (Private Equity), implying professionalized data governance but potentially complex exit/licensing approvals. · corporate: acquired of THI Investments.
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
This evidence collectively proves WJ owns a significant time-series dataset generated from the daily operations and maintenance of its specialized fleet of over 380 vehicles. This unique operational data is a prime asset for Industrial AI vendors developing predictive maintenance algorithms for complex machinery. In a market projected to grow at over 31% annually, access to such real-world telemetry and sensor data provides a critical competitive advantage for training and validating next-generation maintenance-optimization solutions.
See dimension details ↓- 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 Surplus92
surplus=high, 1 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. - 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 Rarity58
proprietary domain data (open lowers rarity)
How scarce and proprietary the data is. Unique domain data scores high; openly available data lowers it. - Dataset Volume58
4 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 Demand95
AI buyer demand is exceptionally high, driven by the market's rapid expansion towards $226.50 billion by 2035, supported by a strong CAGR of 31.1% for predictive maintenance applications. [3]
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility56
open/API access
How legally easy the data is to obtain and use — open/API access scores high; PII or regulated data scores low. - Acquisition Feasibility51
medium difficulty, acquired of THI Investments
How realistic it is to actually obtain the data, given access difficulty and the holder's corporate structure. - Evidence Strength74
4 evidence types, 4 hits
How solid the proof is that the company holds this data — diversity of evidence types and number of hits. - Right to License70
ownership=company_owned, licensing=rights_unclear
Whether the company can legally license the data out — based on ownership and licensing complexity. - Corporate Independence45
acquired of THI Investments
Whether the holder can decide alone — an independent company scores higher than a subsidiary of a large group. - ICP Audit58
✓ good target — WJ is a large operational company in road and water management that generates significant proprietary telemetry and monitoring data as a by-product, but it also appears to be commercializing this data through monitoring services, which slightly reduces its fit. Issues: The company's website for its water management division explicitly offers 'real-time electronic data collection and monitoring solutions' and 'secure cloud base; This offering of monitoring and data analysis services borders on selling 'intelligence' or 'data-as-a-service', which is an exclusion criterion. [23, 9]; The company is large, with over 600 employees, and is part of a larger group, which deviates from the ideal SME target. [1, 14, 16]
- Deep Qualification80
✓ pass — WJ Group is a road services operator whose telemetry data (CCTV, SVD) is a plausible byproduct, but this data is generated for public authority clients who likely own it, making third-party licensing rights highly uncertain.
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Downloads / exports
The company captures user information through its digital properties, providing a source of customer engagement data that can be valuable for market analysis and lead generation.
IoT / sensor data
WJ deploys advanced ITS solutions, including CCTV and vehicle detection systems, generating rich, contextual IoT data from road infrastructure that is highly sought after by developers of smart city and mobility platforms.
Geospatial data
Data is generated in the context of the strategic road network, providing essential geospatial context that allows AI models to correlate equipment performance with specific locations and route characteristics.
Industrial data
The holder operates and maintains a growing fleet of over 380 vehicles, directly proving ownership of the core operational data required to build and test robust predictive maintenance models.
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
Wj 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, with a projected CAGR of 31.1% (2026-2035) (source: Market Research Future). [3]. Investment score 73.4/100 (confidence 0.56). Recommended action: Partnership (group-level).
From the marketplace
Explore live data opportunities
Bluearth — Maintenance Logs Dataset Opportunity
View opportunity →industrialDimension Energy — Maintenance Logs Dataset Opportunity
View opportunity →industrialHydrostor — Industrial Sensor Dataset Opportunity
View opportunity →