Dataset opportunity
Verogy — Industrial Sensor Dataset Opportunity
Moderate industrial sensor dataset held by Verogy, usable for Predictive Maintenance and Anomaly Detection.
Score
70.7
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
42%
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 = $13.65B in 2025, CAGR 24.30%.
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
Industrial Sensor Dataset
Modality
Time Series
Sector
industrial
Volume
Moderate
Freshness
Real-time
Rarity
High (proprietary)
Accessibility
Partial
Legal
Owned by the company — clean to license
Buyer persona
Industrial AI & maintenance-optimization vendors
Verogy holds a valuable Time Series dataset composed of granular industrial_data and iot_data from its portfolio of solar energy assets. This machine-generated performance information, including various sensor metrics, is directly suited for developing and training high-demand Predictive Maintenance models, enabling the anticipation of equipment failures before they occur.
The business value is substantial, as the global Predictive Maintenance market was valued at USD 13.65 billion in 2025 and is projected to grow to USD 97.37 billion by 2034, exhibiting a strong CAGR of 24.30%. [6] This significant market growth underscores the high demand for specialized, valuable datasets like Verogy's, which are essential for AI buyers to build competitive solutions and justify the negotiation for access. ⚠ Diligence (valuable data, access to negotiate): Data is primarily industrial/IoT performance metrics from solar assets.; Ownership is likely clear as they develop and manage the projects.; No GDPR sensitivity as data is machine-generated performance info. · corporate: independent.
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
The evidence confirms Verogy possesses proprietary time-series data from its industrial solar assets, combining both real-time monitoring and detailed historical generation logs. This unique dataset is a critical asset for Industrial AI vendors developing predictive maintenance algorithms. Acquiring this data offers a direct path to improving model accuracy and capturing share in a market projected to exceed $13 billion by 2025.
See dimension details ↓- Dataset Specificity78
dominant 'iot_data', sector industrial, 2 specific types
How sharply the data targets a specific, hard-to-substitute domain or task. Niche, well-defined data scores higher than generic. - Dataset Rarity70
proprietary domain data
How scarce and proprietary the data is. Unique domain data scores high; openly available data lowers it. - Dataset Volume46
2 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 Value74
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
AI buyer demand is extremely high, driven by the rapid growth of the Predictive Maintenance market, which is expanding at a 24.30% CAGR. [6]
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility50
restricted/unknown
How legally easy the data is to obtain and use — open/API access scores high; PII or regulated data scores low. - Acquisition Feasibility44
low difficulty, independent
How realistic it is to actually obtain the data, given access difficulty and the holder's corporate structure. - Evidence Strength50
2 evidence types, 2 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 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, 5 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 Audit92
✓ good target — Verogy is a good target as it develops, builds, and operates solar projects, generating valuable operational and sensor data as a by-product of its core business, and does not appear to sell data or analytics as a service.
- Deep Qualification80
✓ pass — Verogy is a service provider for solar project development, EPC, and O&M. They hold valuable operational data from the assets they manage, but the ownership rights to this data are likely shared with their clients, making direct licensing complex.
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
press
- “<p>Rencontré lors du salon des industries du sous-sol, ces « Géodays » organisés mi-juin à Pau, Pierre Brossolet, PDG d’Arverne, l’assurait à GreenUnivers : « il y a un moment géothermie en France », un momentum qu’il entend faire durer jusqu’aux élections de 2027. Dans les faits, il s’agit plutôt… d’un moment Arverne. Car ces dernières semaines, […]</p> <p>L’article <a href="https://www.greenunivers.com/2026/07/geothermie-arverne-hyperactif-dans-un-secteur-amorphe-428052/">Géothermie : Arverne hyperactif dans un secteur amorphe</a> est apparu en premier sur <a href="https://www.gr”
- “<p>Support from the U.S. Department of Energy will be critical to the industry’s near-term success as customers look to lithium alternatives, International Zinc Association officials told Utility Dive.</p>”
- “<figure><div><img src="https://imgproxy.divecdn.com/Eqnd_quLKm6b-498FuZKQA749oR6TKLt94uV0Af5HJs/g:ce/rs:fill:1600:900:1/Z3M6Ly9kaXZlc2l0ZS1zdG9yYWdlL2RpdmVpbWFnZS9QOEFHUlcuanBn.webp" /></div></figure><p>The California Air Resources Board said it will delay the compliance deadline for California’s SB 253 — the Climate Corporate Data Accountability Act — and propose “limited changes.”</p>”
IoT / sensor data
Verogy's public statements confirm the collection of real-time operational data for asset management, providing a continuous feed essential for training anomaly detection and performance optimization models.
Industrial data
The company documents ownership of detailed historical energy generation data from diverse industrial solar sites, offering the ground-truth information required to train and validate high-fidelity predictive maintenance algorithms.
Marketplace
Dataset details
Geographic coverage
Global
Time range
Real-time
Update frequency
Real-time
Delivery
API
Formats
Time Series
License
One-time license for use in developing and training predictive maintenance models. Usage restrictions may apply.
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 dataset from industrial solar assets is highly valuable for predictive maintenance due to strong market demand and growth. Its real-time freshness and moderate volume, combined with low PII risk, position it well within the rare/exclusive category.
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
Verogy Industrial Sensor — a Moderate industrial sensor dataset (Time Series modality) in the industrial domain. Primary AI use-case: Predictive Maintenance. Market signal: Global Predictive Maintenance market = $13.65B in 2025, CAGR 24.30% (source: Fortune Business Insights). Investment score 70.7/100 (confidence 0.42). Recommended action: Acquire.
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