Dataset opportunity
Gesurveys — Geospatial Dataset Opportunity
Moderate geospatial dataset held by Gesurveys, usable for Geo AI and Routing & Forecasting.
Score
76.9
Confidence
53%
Action
Acquire
Market
Global Geospatial Analytics Artificial Intelligence Market = $60.4 billion in 2025, projected to reach over $470 billion by 2034, growing at a CAGR of 25.7% (source: Janea Systems, 2025 study).
Concrete evidence this company actively cares about data — why it's ripe for the deal room.
- 📦Data product
V4D - site analytics from measured geospatial data, bringing together survey data, UAV imagery, surfaces, models, and quantities to monitor site changes over time.
source ↗ - 📝Published article
Website states 'Geospatial data built for decisions, not just deliverables.'
source ↗ - 📝Published article
Utilizes modern 3D viewing environments to make spatial project data easier to interpret and present UAV and survey datasets interactively.
source ↗ - ✨Signal
Ability to interrogate plans and digital data to foresee costly delays due to design issues.
source ↗
Profile
Dataset profile
Type
Geospatial Dataset
Modality
Tabular
Sector
industrial
Volume
Moderate
Freshness
Periodic
Rarity
High (proprietary)
Accessibility
Partial
Legal
Owned by the company — clean to license
Buyer persona
Geospatial-AI & mobility-analytics teams
Gesurveys possesses a comprehensive Geospatial Dataset in a Tabular modality, comprising geo_data, image_collection, and industrial_data. This diverse and specialized data is exceptionally well-suited for Geo AI applications, facilitating advanced spatial analysis, predictive modeling, and automated insights critical for industrial operations. The integration of these data types allows for a holistic understanding of geographic patterns and industrial processes.
The market for Geospatial AI is undergoing exponential growth, fueled by the escalating demand for AI-driven location intelligence across various sectors. While the company's website is currently under construction, suggesting some access complexity, the inherent value and rarity of such specialized industrial geospatial data for AI solutions remain substantial. This type of data can command significant prices, with niche datasets potentially selling for thousands per license, making the negotiation of access a valuable endeavor. ⚠ Diligence (valuable data, access to negotiate): Website is currently under construction, some information might be temporarily unavailable or outdated. · corporate: independent.
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
- Dataset Specificity90
dominant 'geo_data', sector industrial, 3 specific types
- Dataset Rarity82
proprietary domain data
- Dataset Volume64
5 evidence hits
- Dataset Freshness46
periodic
- Training Value84
fit for Geo AI
- Buyer Demand92
The Geospatial Analytics Artificial Intelligence market is projected to grow at a Compound Annual Growth Rate (CAGR) of 25.71% from 2024 to 2032, indicating very high and increasing buyer demand for this type of data.
- Legal Accessibility50
restricted/unknown
- Acquisition Feasibility44
low difficulty, independent
- Evidence Strength68
3 evidence types, 5 hits
- Right to License92
ownership=owned, licensing=clean
- Corporate Independence90
independent
- Data Orientation95
4 data-appetite signals (3 types)
- ICP Audit67
⚠ review — Gesurveys provides geospatial survey services and construction data solutions, including intelligence and insights derived from their proprietary data, which they sell as part of their core service offering to clients. Issues: The company's core business involves selling intelligence and insights derived from their proprietary data as a service to their clients, which makes them an un
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Market read
Gesurveys holds a proprietary collection of geospatial data and industrial time-series information, meticulously captured through extensive field surveys. This unique dataset provides granular, real-world evidence crucial for Geo AI and mobility analytics teams, enabling advanced modeling and predictive capabilities. Its high rarity and direct relevance to industrial infrastructure position it as a strategic asset within the rapidly expanding geospatial analytics market, projected to exceed $470 billion by 2034. This opportunity offers a significant competitive advantage for buyers looking to lead in this critical sector.
Geospatial data
Tabular · 2 hitsThis evidence type comprises tabular geospatial data detailing precise field captures, survey controls, and derived outputs such as digital terrain models, LiDAR scans, and construction-ready information, invaluable for AI models requiring foundational geographic accuracy in industrial planning and infrastructure development.
Industrial data
Time Series · 1 hitThis evidence type represents time-series industrial data capturing project progress, quantities, and construction-ready information derived from continuous field capture and survey control, critical for predictive analytics and operational optimization in large-scale industrial projects.
Image collection
Image · 1 hitThis evidence type consists of high-resolution image data from UAV captures, providing rich visual context for mapping, progress records, and asset information, essential for computer vision applications in geospatial monitoring and infrastructure assessment.
Deal room
Deal Room — Gesurveys — 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 = $60.4 billion in 2025, projected to reach over $470 billion by 2034, growing at a CAGR of 25.7% (source: Janea Systems, 2025 study).. Rarity: High (proprietary); accessibility: Partial. Key risk: Owned by the company — clean to license. Recommended deal structure: Acquire. Investment score 76.9/100.
Buyer persona
Geospatial-AI & mobility-analytics teams
Market
Global Geospatial Analytics Artificial Intelligence Market = $60.4 billion in 2025, projected to reach over $470 billion by 2034, growing at a CAGR of 25.7% (source: Janea Systems, 2025 study).
Risk
Owned by the company — clean to license
Action
Acquire
Coverage
Scanned sources
Deliverable
Premium dataset report
Gesurveys 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 = $60.4 billion in 2025, projected to reach over $470 billion by 2034, growing at a CAGR of 25.7% (source: Janea Systems, 2025 study).. Investment score 76.9/100 (confidence 0.53). Recommended action: Acquire.