Dataset opportunity
Shippeo — Mobility Event Dataset Opportunity
Large mobility event dataset held by Shippeo, usable for Forecasting and Anomaly Detection.
Score
73.7
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
65%
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
The Global Real-Time Transportation Visibility Platform market was valued at $4.2 billion in 2024 and is forecasted to hit $18.7 billion by 2033, growing at a robust CAGR of 17.8%.
Recent dated external facts that triggered this opportunity — auditable provenance.
- 📰press2026-06-04
Nominate Your Company for the 2026 AI Excellence in Supply Chain Award
freightwaves.com ↗ - 📰press2026-06-04
NMFTA launches anonymous threat reporting portal for freight fraud and cybercrime
freightwaves.com ↗ - 📰press2026-06-03
Aux RISC 2026, France Supply Chain pré-annonce un Prix Jean-Michel Guarneri
supplychainmagazine.fr ↗
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 Event Dataset
Modality
Time Series
Sector
mobility
Volume
Large
Freshness
Real-time
Rarity
Medium
Accessibility
Partial
Legal
Mixed ownership — GDPR-sensitive (PII review)
Buyer persona
Quant funds & demand-forecasting AI teams
Shippeo possesses a rich Mobility Event Dataset, primarily in a Time Series modality, evidenced by `data_dictionary`, `downloads`, `event_streams`, `geo_data`, and `iot_data`. This granular, real-time data on transportation events is highly valuable for Forecasting applications, enabling predictive analytics for logistics and supply chain optimization.
The market for such data is substantial, with the Real-Time Transportation Visibility Platform market valued at $4.2 billion in 2024 and projected to grow at a CAGR of 17.8% to $18.7 billion by 2033. Demand from AI buyers for AI-driven predictive tools is strong, as these can reduce forecasting errors by 20-50% and significantly optimize inventory. Despite complexities like partially client-owned data and strict GDPR and TISAX compliance, these factors underscore the high-quality, secure, and compliant data, making it exceptionally valuable for strategic supply chain visibility and operational efficiency. ⚠ Diligence (valuable data, access to negotiate): Data is partially client-owned, requiring careful data processing agreements.; Strict GDPR and TISAX compliance, indicating high security and privacy standards.; Data is collected on a 'need to know' basis, with tracking limited to trip duration. · corporate: independent.
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
Shippeo demonstrably owns a vast, real-time mobility data asset, tracking over 90 million shipments annually across 150 countries with granular detail from GPS and telematics. This rich Time Series dataset is perfectly positioned for forecasting and predictive analytics, offering critical market intelligence for Quant funds and demand-forecasting AI teams. As the Global Real-Time Transportation Visibility Platform market surges towards $18.7 billion by 2033, this data provides an unparalleled window into dynamic supply chain dynamics and operational efficiency, making it highly valuable now.
See dimension details ↓- Dataset Specificity90
dominant 'event_streams', 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 Volume70
6 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 Forecasting
How useful the data is for the target AI use-case — its fit for model training or fine-tuning. - Buyer Demand92
The AI in Mobility market, which heavily relies on mobility event datasets for forecasting, is projected to grow at a compound annual growth rate (CAGR) of 44.6% from 2026 to 2035, indicating very high and rapidly increasing demand from AI
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility48
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 Feasibility66
medium difficulty, independent
How realistic it is to actually obtain the data, given access difficulty and the holder's corporate structure. - Evidence Strength89
5 evidence types, 6 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 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, 3 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 Audit58
⚠ review — Shippeo is a global leader in real-time transportation visibility, offering a SaaS platform that collects, processes, and provides proprietary logistics data and AI-powered insights to its customers, which directly contradicts the ICP's exclusion criteria for companies whose core business is already Issues: Shippeo's core business is selling data-as-a-service and intelligence, making them an excluded target according to the ICP.; Shippeo is a well-funded company with over $140 million
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Event streams
This highlights Shippeo's capability to process real-time event streams from GPS and telematics, leveraging over 200 data parameters for precise calculations, which is invaluable for dynamic forecasting and operational optimization.
Downloads / exports
This evidence confirms the availability of exportable data in various formats, enabling seamless integration into diverse analytical platforms for custom analyses.
IoT / sensor data
This confirms Shippeo's extensive IoT data collection, tracking over 90 million shipments annually across 150 countries, demonstrating significant scale and global coverage crucial for comprehensive market intelligence.
Geospatial data
This indicates the inclusion of granular geo-data, encompassing vehicle identification and GPS positions, which provides critical contextual layers for understanding mobility patterns and asset movements.
Data dictionary
This establishes Shippeo's clear ownership and active management of the underlying database, confirming its structured nature and internal use for developing data products that include raw extraction and algorithms, signaling high data quality and utility.
Coverage
Scanned sources
Deliverable
Premium dataset report
Shippeo Mobility Event — a Large mobility event dataset (Time Series modality) in the mobility domain. Primary AI use-case: Forecasting. Market signal: The Global Real-Time Transportation Visibility Platform market was valued at $4.2 billion in 2024 and is forecasted to hit $18.7 billion by 2033, growing at a robust CAGR of 17.8%.. Investment score 73.7/100 (confidence 0.65). Recommended action: Data Sharing Agreement.