Dataset opportunity
Terradat — Geospatial Dataset Opportunity
Moderate geospatial dataset held by Terradat, usable for Geo AI and Routing & Forecasting.
Score
66
Confidence
46%
Action
License
Market
Global geospatial analytics artificial intelligence market = $38.33 billion in 2025, CAGR 12.69% (2026-2035)
Concrete evidence this company actively cares about data — why it's ripe for the deal room.
- 🧑💻Hiring a data role
Hiring Project/Senior Project Geophysicist with responsibilities for data acquisition, processing, and interpretation.
source ↗ - ✨Signal
Company publishes scientific papers based on their geophysical survey data.
source ↗ - ✨Signal
Job description mentions 'Contribution to the company's R&D interests', indicating internal data-driven research.
source ↗
Profile
Dataset profile
Type
Geospatial Dataset
Modality
Tabular
Sector
industrial
Volume
Moderate
Freshness
Periodic
Rarity
Medium
Accessibility
Partial
Legal
Owned by the company — clean to license
Buyer persona
Geospatial-AI & mobility-analytics teams
Terradat possesses geospatial data, specifically in a tabular modality, which is highly valuable for Geo AI applications. This structured, location-based information can be directly integrated into machine learning models, enabling sophisticated analysis of spatial patterns, prediction of future trends, and optimization of operations across diverse industries.
The market for geospatial analytics and Geo AI is experiencing robust growth, driven by increasing demand for location-based services, smart city development, and the integration of AI and IoT technologies. With the global geospatial analytics artificial intelligence market projected to reach significant figures and exhibit a strong CAGR, the ability to extract actionable insights and enhance decision-making from such data represents substantial business value. ⚠ Diligence (valuable data, access to negotiate): corporate: independent.
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
- Dataset Specificity66
dominant 'geo_data', sector industrial, 1 specific types
- Dataset Rarity58
proprietary domain data
- Dataset Volume58
4 evidence hits
- Dataset Freshness62
API/open (current)
- Training Value64
fit for Geo AI
- Buyer Demand95
The global AI in Geospatial Market is projected to grow at a CAGR of 31.0% from USD 78.3 million in 2023 to USD 1,165.3 million by 2033, indicating very high and rapidly increasing buyer demand for geospatial datasets for Geo AI in the indu
- Legal Accessibility62
open/API access
- Acquisition Feasibility4
medium difficulty, independent
- Evidence Strength56
2 evidence types, 4 hits
- Right to License92
ownership=owned, licensing=clean
- Corporate Independence90
independent
- Data Orientation76
3 data-appetite signals (2 types)
- ICP Audit75
⚠ review — Terradat is a geophysical survey company whose core business is providing specialized subsurface data and insights as a service, which means they are already in the business of selling data/intelligence. Issues: Terradat's core business is providing geophysical survey services, which involves the collection, processing, and delivery of specialized subsurface data and in; The data they collect (e.g., seismic, GPR, magnetic, geoelectrical data, 3D laser scans, photogrammetry) is what th
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Market read
This opportunity presents a rare chance to acquire highly specialized geophysical subsurface mapping data from Terradat, a holder with over 30 years of proven expertise in critical industrial applications. The evidence collectively proves deep ownership of geomatic capabilities and a multimodal data approach, directly addressing the burgeoning demand within the geospatial analytics AI market, projected to reach $38.33 billion by 2025. This dataset is uniquely positioned to empower Geo AI and mobility analytics teams by providing foundational, high-fidelity insights for complex projects in the energy sector, infrastructure development, and environmental assessment, making it exceptionally valuable for AI buyers seeking to unlock advanced predictive and analytical models now.
Geospatial data
Tabular · 3 hitsThe geospatial data evidence confirms Terradat's extensive 30-year legacy in subsurface geophysical mapping, detailing a comprehensive suite of survey methods and critical applications across energy, infrastructure, and environmental sectors, directly validating the dataset's depth and relevance for Geo AI and mobility analytics.
Developer portal
Multimodal · 1 hitEvidence from the developer portal indicates Terradat's advanced technical integration capabilities, specifically highlighting their multimodal data approach and established partnerships with major wind farm developers, suggesting a readiness for data exchange and a proven track record in high-value industrial applications.
Deal room
Deal Room — Terradat — Geospatial Dataset Opportunity
Geospatial Dataset (Tabular, industrial). Best AI use-case: Geo AI. Target buyers: Geospatial-AI & mobility-analytics teams. Market: Global geospatial analytics artificial intelligence market = $38.33 billion in 2025, CAGR 12.69% (2026-2035). Rarity: Medium; accessibility: Partial. Key risk: Owned by the company — clean to license. Recommended deal structure: License. Investment score 66.0/100.
Buyer persona
Geospatial-AI & mobility-analytics teams
Market
Global geospatial analytics artificial intelligence market = $38.33 billion in 2025, CAGR 12.69% (2026-2035)
Risk
Owned by the company — clean to license
Action
License
Coverage
Scanned sources
Deliverable
Premium dataset report
Terradat Geospatial — a Moderate geospatial dataset (Tabular modality) in the industrial domain. Primary AI use-case: Geo AI. Market signal: Global geospatial analytics artificial intelligence market = $38.33 billion in 2025, CAGR 12.69% (2026-2035). Investment score 66.0/100 (confidence 0.46). Recommended action: License.