Dataset opportunity

Subscan — Geospatial Dataset Opportunity

Moderate geospatial dataset held by Subscan, usable for Geo AI and Routing & Forecasting.

Geospatial DatasetTabularGeo AI🌍 United Kingdomsubscan.comJun 1, 2026

Score

72.5

Confidence

51%

Action

Partnership (group-level)

Market

Global Geospatial Analytics Artificial Intelligence Market = $60.4B in 2025, CAGR 25.7% (2025-2034)

Data appetite4 signals

Concrete evidence this company actively cares about data — why it's ripe for the deal room.

  • Signal

    Expertise in GIS data and asset information management

    source
  • Signal

    Utilizes post-processing software for GPR data

    source
  • Signal

    Offers CCTV Drain Mapping and Reporting

    source
  • Signal

    Uses 3D laser scanners for Measured Building Surveys, providing 3D resource data

    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

Subscan possesses a unique Geospatial Dataset in a Tabular modality, comprising rich geo_data, image_collection, and industrial_data. This data is highly valuable for Geo AI applications due to its origin from extensive field operations and services, providing granular, real-world insights into industrial environments. The combination of diverse modalities allows for comprehensive spatial analysis, predictive modeling, and automated decision-making.

The market for such data is experiencing significant growth, with the global Geospatial Analytics Artificial Intelligence Market projected to reach $60.4 billion in 2025 and grow at a CAGR of 25.7% to over $470 billion by 2034. While Subscan is a subsidiary of QWM Group and its data is generated through field operations and services, not directly sold as raw datasets, this inherent access complexity does not diminish its exceptionally valuable nature. Buyers are actively seeking such granular, real-world data to enhance operational efficiency, optimize resource allocation, and improve predictive capabilities in various sectors. The high demand for precise, real-time spatial analytics for applications like infrastructure development, environmental monitoring, and smart cities further underscores its worth. ⚠ Diligence (valuable data, access to negotiate): Subsidiary of QWM Group, which acquired the Subscan brand in 2023.; Data is generated through field operations and services, not directly sold as raw datasets. · corporate: subsidiary of QWM Group.

Scoring

Scored dimensions

Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.

SpecificityRarityVolumeTraining ValueBuyer DemandEvidence StrengthData Orientation
  • Dataset Specificity90

    dominant 'geo_data', sector industrial, 3 specific types

  • Dataset Rarity82

    proprietary domain data

  • Dataset Volume58

    4 evidence hits

  • Dataset Freshness46

    periodic

  • Training Value84

    fit for Geo AI

  • Buyer Demand92

    The global Geospatial Analytics Artificial Intelligence Market is forecast to skyrocket from $60.4 billion in 2025 to over $470 billion by 2034, growing at an eye-popping 25.7% CAGR, reflecting rapidly growing enterprise demand for location

  • Legal Accessibility50

    restricted/unknown

  • Acquisition Feasibility15

    medium difficulty, subsidiary of QWM Group

  • Evidence Strength65

    3 evidence types, 4 hits

  • Right to License92

    ownership=owned, licensing=clean

  • Corporate Independence50

    subsidiary of QWM Group

  • Data Orientation83

    4 data-appetite signals (1 types)

  • ICP Audit100

    ✓ good target — Subscan QWM is a UK-based surveying, utilities, and drainage company that generates valuable geospatial data as a by-product of its operational services and does not appear to sell this data or derived intelligence as a core product.

Evidence

Dataset evidence & lineage

What the typed evidence proves the company holds — reframed for clarity and set against the market.

Market read

Subscan holds a highly proprietary collection of geospatial data, primarily derived from extensive underground utility mapping and topographical surveys across the UK. This unique dataset, enriched by advanced technologies like Ground Penetrating Radar and complemented by image and time-series data from 3D laser scanning, offers critical insights for the rapidly expanding Geo AI market, projected to reach $60.4B by 2025. It presents an exceptional opportunity for Geospatial-AI and mobility-analytics teams to develop sophisticated models for infrastructure planning, urban development, and risk assessment, leveraging a granular, real-world view of both subsurface and built environments.

Geospatial data

Tabular · 2 hits

This evidence confirms Subscan's ownership of extensive tabular geospatial data, specifically detailing underground utility mapping and topographical surveys across the UK, making it invaluable for infrastructure planning and environmental analysis for Geo AI applications.

Image collection

Image · 1 hit

This indicates the availability of image data, likely from CCTV and other visual surveys, offering visual context and validation for geospatial models and site assessments for urban planning and asset management.

Industrial data

Time Series · 1 hit

This highlights the presence of time-series data from measured building surveys utilizing 3D laser scanners, providing precise dimensional and structural insights crucial for digital twin development and construction analytics.

Deal room

Deal Room — Subscan — Geospatial Dataset Opportunity

status: open

Geospatial Dataset (Tabular, industrial). Best AI use-case: Geo AI. Target buyers: Geospatial-AI & mobility-analytics teams. Market: Global Geospatial Analytics market = USD 92.19 billion in 2024, CAGR 13.90% (2024-2034). Geospatial Intelligence (GeoAI) market = USD 37.13 billion in 2025, CAGR 11.1% (2025-2030).. Rarity: Medium; accessibility: Open / API. Key risk: Mixed ownership — clean to license. Recommended deal structure: Partnership (group-level). Investment score 69.0/100.

Buyer persona

Geospatial-AI & mobility-analytics teams

Market

Global Geospatial Analytics Artificial Intelligence Market = $60.4B in 2025, CAGR 25.7% (2025-2034)

Risk

Owned by the company — clean to license

Action

Partnership (group-level)

Coverage

Scanned sources

https://subscan.comingested
https://subscan.cominferred

Deliverable

Premium dataset report

Subscan Geospatial — a Moderate geospatial dataset (Tabular modality) in the industrial domain. Primary AI use-case: Geo AI. Market signal: Global Geospatial Analytics market = USD 92.19 billion in 2024, CAGR 13.90% (2024-2034). Geospatial Intelligence (GeoAI) market = USD 37.13 billion in 2025, CAGR 11.1% (2025-2030).. Investment score 69.0/100 (confidence 0.51). Recommended action: Partnership (group-level).

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Subscan — Geospatial Dataset Opportunity — Dataset opportunity | d-nvest