Dataset opportunity
Logent — Industrial Operations Dataset Opportunity
Moderate industrial operations dataset held by Logent, usable for Industrial Monitoring and Forecasting.
Score
47.5
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
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 Production Monitoring market was valued at $6.47 billion in 2025, projected to grow at a CAGR of 8.62% (2026-2031).
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
Customer portal for logistics tracking and reporting
source ↗
Profile
Dataset profile
Type
Industrial Operations Dataset
Modality
Time Series
Sector
mobility
Volume
Moderate
Freshness
Periodic
Rarity
High (proprietary)
Accessibility
Restricted
Legal
Mixed ownership — licensing rights to clarify · PII/regulated
Buyer persona
Industrial AI integrators
Logent holds a significant Industrial Operations Dataset composed of Time Series data from its extensive logistics and mobility operations. This raw data, including business records, industrial process metrics, and transaction logs from over 50 locations, is directly applicable for developing and validating AI models for Industrial Monitoring, such as predictive maintenance and operational efficiency optimization.
The global market for production monitoring, which relies on such data, was valued at USD 6.47 billion in 2025 and is projected to grow at a CAGR of 8.62%. While access requires navigating a complex corporate structure and shared data ownership with clients like Volvo Cars, the rarity and richness of this multi-location operational data present a significant opportunity. The value derived from optimizing industrial processes makes overcoming these access hurdles a worthwhile investment for a serious AI buyer, especially given the general lack of universal industrial data available for building reliable AI models. ⚠ Diligence (valuable data, access to negotiate): Data ownership is likely split between Logent and its logistics clients (e.g., Volvo Cars).; Staffing and recruitment branch involves significant GDPR-sensitive personal data.; Operational data is distributed across 50+ locations in Northern Europe.; Access requires navigation through the Logent Group corporate structure. · corporate: subsidiary of Logent Group.
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
This evidence collectively proves Logent possesses proprietary time-series data capturing the full lifecycle of industrial production logistics, from component receipt and storage to internal transport. This dataset directly serves the rapidly growing Global Production Monitoring market, projected to exceed $6.47 billion, by enabling AI integrators to build and train sophisticated industrial monitoring models. The data's high rarity and operational depth make it a critical asset for developing predictive maintenance and cost efficiency algorithms that can be deployed at scale.
See dimension details ↓- Dataset Specificity78
dominant 'industrial_data', sector mobility, 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 Volume52
3 evidence hits
Apparent scale of the data, inferred from the number of evidence hits and any explicit volume mentions. - Dataset Freshness46
periodic
How current the data stays — real-time/streaming scores highest, periodic dumps lower. - Training Value74
fit for Industrial Monitoring
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 strong growth in the production monitoring market (8.62% CAGR) where granular, real-world time-series data is mission-critical for creating competitive AI-driven efficiencies.
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, subsidiary of Logent Group
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 Independence50
subsidiary of Logent Group
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 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
⚠ review — Logent is a large logistics and staffing company whose core business includes logistics consulting and data-driven supply chain optimization, making it a data/intelligence seller, not a holder of dormant data. Issues: Company is not an SME; it's a large group with ~3000 employees and ~2.3B SEK in revenue.; Core business is not just logistics but also 'Logistics consulting' and 'data-driven management' which includes analysis, KPIs, and dashboards.; The company explicitly sells intelligence and optimization based on data analysis as a service, which is a 'bad target' according to the ICP.; The company is already monetizing its data expertise through consulting and supply chain management services.
- Deep Qualification70
✓ pass — Logent is a logistics service provider whose operational data is a plausible by-product. However, data ownership is complex and likely shared with major clients like Volvo Cars, and the company's website lacks specific B2B data governance terms, creating significant access hurdles.
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Industrial data
This evidence points to proprietary time-series data detailing the physical flow of parts and components within a production environment, a critical input for training predictive monitoring systems.
business_records
These business records confirm the operational scale of the data source across over 50 locations, providing the geographic and logistical diversity needed to build robust and scalable AI solutions.
Transaction data
The presence of transaction data related to customs services indicates a dataset enriched with the complexities of global trade, valuable for modeling supply chain risk and regulatory compliance.
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
Logent Industrial Operations — a Moderate industrial operations dataset (Time Series modality) in the mobility domain. Primary AI use-case: Industrial Monitoring. Market signal: Global Production Monitoring market was valued at $6.47 billion in 2025, projected to grow at a CAGR of 8.62% (2026-2031) (source: Mordor Intelligence).. Investment score 47.5/100 (confidence 0.49). Recommended action: Partnership (group-level).
From the marketplace
Explore live data opportunities
Ampyrsolareurope — Oportunidad de conjunto de datos de sensores industriales
View opportunity →movilidadOportunidad de Conjunto de Datos de Registros de Mantenimiento de Fleets Enterprises
View opportunity →movilidadOportunidad de Conjunto de Datos de Telemetría de Movilidad Voltatrucks
View opportunity →