Dataset opportunity
Emnify — Mobility Telemetry Dataset Opportunity
Large mobility telemetry dataset held by Emnify, usable for Predictive Maintenance and Anomaly Detection.
Score
73.3
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
67%
Action
Data Sharing Agreement
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 = $17.11B in 2026, 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.
Concrete evidence this company actively cares about data — why it's ripe for the deal room.
- 🔌Public API
Comprehensive REST API for connectivity management and data streaming
source ↗
Profile
Dataset profile
Type
Mobility Telemetry Dataset
Modality
Time Series
Sector
mobility
Volume
Large
Freshness
Real-time
Rarity
High (proprietary)
Accessibility
Restricted
Legal
Mixed ownership — GDPR-sensitive (PII review)
Buyer persona
Industrial AI & maintenance-optimization vendors
Emnify provides a Mobility Telemetry Dataset structured as Time Series data, sourced from its global IoT network. This dataset includes rich `geo_data`, `iot_data`, and `event_streams`, making it highly suitable for Predictive Maintenance use cases by enabling the analysis of real-time operational health, anomaly detection, and failure forecasting for connected mobility assets.
The business value is substantial, as the global market for predictive maintenance is projected to be $17.11 billion in 2026 with a 24.30% CAGR. [1] Despite access complexities such as split data ownership, GDPR sensitivity, and the need to navigate a proprietary network, the rarity and richness of this integrated telemetry data make it a high-value asset for buyers aiming to capitalize on this significant market growth. ⚠ Diligence (valuable data, access to negotiate): Data ownership is split: network metadata is proprietary, but payload data belongs to customers.; GDPR sensitivity due to potential tracking of individual-linked IoT devices (e.g., wearables, e-bikes).; Access requires navigating their proprietary cloud-native core network infrastructure. · corporate: independent.
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
This evidence collectively proves Emnify owns and operates a proprietary, global IoT connectivity network, generating high-fidelity telemetry and event streams from managed mobile assets. This raw, time-series data is a critical asset for industrial AI and maintenance-optimization vendors seeking to build and refine predictive maintenance models. In a market projected to exceed $17 billion by 2026, access to such unique device behavior signals provides a distinct competitive advantage for training more accurate and timely AI systems.
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 Volume76
7 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 Demand90
AI buyer demand is high, driven by a rapidly growing market projected to reach $17.11B in 2026 with a 24.30% CAGR as companies race to adopt data-driven maintenance solutions. [1]
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility32
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 Feasibility4
medium difficulty, independent
How realistic it is to actually obtain the data, given access difficulty and the holder's corporate structure. - Evidence Strength92
5 evidence types, 7 hits
How solid the proof is that the company holds this data — diversity of evidence types and number of hits. - Right to License28
ownership=mixed, licensing=gdpr_sensitive
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 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. - Deep Qualification80
✓ pass — Emnify is an IoT connectivity provider, not a data seller. It generates valuable mobility telemetry metadata as a byproduct of its service, but the data payload belongs to its customers, creating a mixed ownership model with significant GDPR constraints.
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
IoT / sensor data
Evidence confirms Emnify operates its own core IoT network, recognized by Gartner, which generates proprietary time-series data on device connectivity and lifecycle—the foundational layer for any predictive maintenance solution.
API access
The company provides a REST API for programmatic access, enabling AI developers to systematically ingest device data and integrate it directly into their machine learning pipelines.
Developer portal
A dedicated Developer Hub exists to support data integration, offering tools and event notifications that streamline the onboarding process for engineering teams building on the platform.
Geospatial data
The dataset includes real-time location data streamed alongside connectivity events, enabling asset tracking and geo-contextual analysis for mobile or distributed industrial assets.
Event streams
Emnify offers real-time event streams detailing network attachment, data consumption, and signaling, providing the granular telemetry required to detect anomalies and predict equipment failures.
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
Emnify Mobility Telemetry — a Large mobility telemetry dataset (Time Series modality) in the mobility domain. Primary AI use-case: Predictive Maintenance. Market signal: Global Predictive Maintenance Market = $17.11B in 2026, CAGR 24.30% (source: Fortune Business Insights). [1]. Investment score 73.3/100 (confidence 0.67). Recommended action: Data Sharing Agreement.
From the marketplace
Explore live data opportunities
Frankenburg — Sensor Telemetry Dataset Opportunity
View opportunity →otherSruav — Sensor Telemetry Dataset Opportunity
View opportunity →otherThreod — Sensor Telemetry Dataset Opportunity
View opportunity →Data Academy
Learn before you deal
- Your Specialized Images Are Rare3 min read
- Acquire Rare, Compliant Data3 min read
- Data marketplaces, explained4 min read