Dataset opportunity
Geospatialengineering — Geospatial Dataset Opportunity
Moderate geospatial dataset held by Geospatialengineering, usable for Geo AI and Routing & Forecasting.
Score
75.1
Confidence
53%
Action
License
Market
Global Geospatial Analytics market = USD 102.45 billion in 2025, projected to grow to USD 309.84 billion by 2034, exhibiting a CAGR of 12.90% (2026-2034).
Concrete evidence this company actively cares about data — why it's ripe for the deal room.
- ✨Signal
Services focus on 'precision-led spatial data solutions'
source ↗ - ✨Signal
Services include 'systematic capture, analysis, and management of geographic information'
source ↗ - ✨Signal
Aims to 'streamline the transition from physical sites to intelligent digital twins'
source ↗ - ✨Signal
Offers 'GIS Database Management' as a service
source ↗
Profile
Dataset profile
Type
Geospatial Dataset
Modality
Tabular
Sector
industrial
Volume
Moderate
Freshness
Real-time
Rarity
Medium
Accessibility
Open / API
Legal
Owned by the company — clean to license
Buyer persona
Geospatial-AI & mobility-analytics teams
Geospatialengineering possesses Geospatial Datasets in a Tabular modality, evidenced by their data catalog, geo_data, and iot_data holdings. This rich collection of location-based information is highly suitable for Geo AI applications, enabling advanced spatial analytics, predictive modeling, and automated insights across various industries. The data's granular nature and comprehensive scope make it a valuable asset for developing sophisticated AI models that require precise geographical context.
The market for geospatial analytics, which underpins Geo AI, is experiencing significant growth, with a global market size valued at USD 102.45 billion in 2025 and projected to reach USD 309.84 billion by 2034, demonstrating a CAGR of 12.90% (2026-2034). The specific GeoAI market itself was valued at USD 38.00 billion in 2024, with a projected CAGR of 9.25% to reach USD 64.60 billion by 2030, indicating strong buyer demand for AI-driven geospatial solutions. Despite the requirement for specialized integration due to CAD/GIS/BIM formats, the inherent rarity and critical utility of such data for advanced AI applications ensure its high business value and continued demand. ⚠ Diligence (valuable data, access to negotiate): Data delivered in specific CAD/GIS/BIM formats requiring specialized integration. · corporate: independent.
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
- Dataset Specificity78
dominant 'geo_data', sector industrial, 2 specific types
- Dataset Rarity46
proprietary domain data (open lowers rarity)
- Dataset Volume64
5 evidence hits
- Dataset Freshness82
real-time/streaming
- Training Value74
fit for Geo AI
- Buyer Demand95
The global AI in Geospatial Market is projected to grow at a Compound Annual Growth Rate (CAGR) of 31.0% from 2024 to 2033, indicating very high and rapidly increasing demand from AI data buyers across industrial sectors.
- Legal Accessibility78
open/API access
- Acquisition Feasibility66
medium difficulty, independent
- Evidence Strength68
3 evidence types, 5 hits
- Right to License92
ownership=owned, licensing=clean
- Corporate Independence90
independent
- Data Orientation83
4 data-appetite signals (1 types)
- ICP Audit67
⚠ review — The company's core business is providing professional surveying services and spatial data solutions, which involves selling data-derived products and services, making them an unsuitable target for a marketplace seeking dormant data. Issues: The company's core business, as described on their website, is selling 'precision-led spatial data solutions' and 'technical outputs' such as topographical mapp; While they collect proprietary data through their operations, they actively commercial
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Market read
Geospatialengineering demonstrably owns a substantial collection of high-precision geospatial survey data, evidenced by multiple distinct offerings for infrastructure, land, and building projects. This foundational data, complemented by advanced 3D spatial capture and robust GIS database management capabilities, directly addresses the critical needs of Geospatial-AI and mobility-analytics teams. Such comprehensive spatial intelligence is invaluable for applications like urban planning and asset management, positioning this dataset as a timely asset within the rapidly expanding Global Geospatial Analytics market.
Geospatial data
Tabular · 3 hitsThis evidence confirms the holder's ownership of extensive high-precision geospatial survey data, crucial for infrastructure development, land planning, and detailed building analysis, making it highly valuable for AI models in urban planning and construction.
IoT / sensor data
Time Series · 1 hitThis entry indicates the holder's capability in capturing high-density 3D point cloud data via LiDAR and laser scanning, providing granular digital representations essential for advanced Geo AI applications like digital twin creation and precise environmental modeling.
Data catalog / marketplace
Multimodal · 1 hitThis demonstrates the holder's expertise in GIS database management, structuring diverse spatial data into relational systems that are foundational for high-level urban planning and efficient asset maintenance analytics.
Deal room
Deal Room — Geospatialengineering — Geospatial Dataset Opportunity
Geospatial Dataset (Tabular, industrial). Best AI use-case: Geo AI. Target buyers: Geospatial-AI & mobility-analytics teams. Market: Global Geospatial Analytics market = USD 102.45 billion in 2025, projected to grow to USD 309.84 billion by 2034, exhibiting a CAGR of 12.90% (2026-2034).. Rarity: Medium; accessibility: Open / API. Key risk: Owned by the company — clean to license. Recommended deal structure: License. Investment score 75.1/100.
Buyer persona
Geospatial-AI & mobility-analytics teams
Market
Global Geospatial Analytics market = USD 102.45 billion in 2025, projected to grow to USD 309.84 billion by 2034, exhibiting a CAGR of 12.90% (2026-2034).
Risk
Owned by the company — clean to license
Action
License
Coverage
Scanned sources
Deliverable
Premium dataset report
Geospatialengineering Geospatial — a Moderate geospatial dataset (Tabular modality) in the industrial domain. Primary AI use-case: Geo AI. Market signal: Global Geospatial Analytics market = USD 102.45 billion in 2025, projected to grow to USD 309.84 billion by 2034, exhibiting a CAGR of 12.90% (2026-2034).. Investment score 75.1/100 (confidence 0.53). Recommended action: License.