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Dataset opportunity

Naturemetrics β€” Geospatial Dataset Opportunity

Large geospatial dataset held by Naturemetrics, usable for Geo AI and Routing & Forecasting.

Geospatial DatasetTabularGeo AI🌍 United Kingdomnaturemetrics.co.ukJun 2, 2026

Score

80.6

Score (0–100) blends weighted dimensions β€” 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

92%

Action

License

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

Global Geospatial Analytics Artificial Intelligence market = $60.4 billion in 2025, CAGR 25.7% (2025-2034); Global Environmental DNA (eDNA) Monitoring market = $422.5 million in 2024, CAGR 18.1% (2025-2033)

Data appetiteConcrete public evidence this company actively invests in data β€” data-role hires, shipped data products, public APIs, partnerships or announcements. More signals mean it's riper for a deal-room conversation.
5 signals

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

  • πŸ§‘β€πŸ’»Hiring a data role

    Hiring for Ecological Data Analyst positions.

    source β†—
  • πŸ§‘β€πŸ’»Hiring a data role

    Hiring for Data Engineer positions.

    source β†—
  • πŸ“¦Data product

    Launched Nature Intelligence Platform and Ecosystem Intelligence Suite.

    source β†—
  • πŸ“Published article

    Published articles on 'Turning nature into data' and 'AI and eDNA: NatureMetrics' Approach to Solving the Biodiversity Data Crisis'.

    source β†—
  • πŸ“£Press / announcement

    Press releases highlight significant funding rounds to scale biodiversity monitoring technology and data platform.

    source β†—

Profile

Dataset profile

Type

Geospatial Dataset

Modality

Tabular

Sector

other

Volume

Large

Freshness

Real-time

Rarity

Medium

Accessibility

Open / API

Legal

Owned by the company β€” clean to license

Buyer persona

Geospatial-AI & mobility-analytics teams

Naturemetrics offers a unique Geospatial Dataset in a Tabular modality, primarily focused on environmental DNA (eDNA) and biodiversity monitoring, making it highly valuable for Geo AI applications. This data, often generated through client collaboration for data generation using NatureMetrics' specialized kits, provides crucial insights into species presence and ecosystem health across various locations.

Despite access complexities such as the data being primarily delivered via their Nature Intelligence Platform as insights and reports rather than raw datasets, the requirement for clients to handle export permits for physical samples, and IPR owned by NatureMetrics for derived data, the underlying market value is substantial. The Geospatial Analytics Artificial Intelligence market is projected to grow from $60.4 billion in 2025 to over $470 billion by 2034, exhibiting a 25.7% CAGR. Furthermore, the Environmental DNA (eDNA) Monitoring market, a core area for Naturemetrics, was valued at $422.5 million in 2024 and is expected to grow at an 18.1% CAGR to reach $1,812.4 million by 2033, highlighting the significant and growing demand for this specialized and rare environmental intelligence. ⚠ Diligence (valuable data, access to negotiate): Data access is primarily through their Nature Intelligence Platform, delivering insights and reports rather than raw datasets.; Collaboration with clients is often required for data generation, as clients collect samples using NatureMetrics' kits.; Export permits for physical samples are the client's responsibility, which could introduce logistical complexities.; Intellectual Property Rights in derived data and analysis are owned by NatureMetrics. · corporate: independent.

Scoring

Scored dimensions

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

SpecificityRarityVolumeTraining ValueBuyer DemandEvidence StrengthData Orientation
  • Dataset Specificity62

    dominant 'geo_data', sector other, 2 specific types

    How sharply the data targets a specific, hard-to-substitute domain or task. Niche, well-defined data scores higher than generic.
  • Dataset Rarity46

    proprietary domain data (open lowers rarity)

    How scarce and proprietary the data is. Unique domain data scores high; openly available data lowers it.
  • Dataset Volume100

    17 evidence hits, explicit data-volume mention

    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 β€” real-time/streaming scores highest, periodic dumps lower.
  • Training Value74

    fit for Geo AI

    How useful the data is for the target AI use-case β€” its fit for model training or fine-tuning.
  • Buyer Demand92

    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.

    How strongly AI builders and companies are likely to want this data, based on market signals.
  • Legal Accessibility90

    open/API access

    How legally easy the data is to obtain and use β€” open/API access scores high; PII or regulated data scores low.
  • Acquisition Feasibility84

    medium difficulty, independent

    How realistic it is to actually obtain the data, given access difficulty and the holder's corporate structure.
  • Evidence Strength100

    8 evidence types, 17 hits

    How solid the proof is that the company holds this data β€” diversity of evidence types and number of hits.
  • Right to License92

    ownership=owned, licensing=clean

    Whether the company can legally license the data out β€” based on ownership and licensing complexity.
  • Corporate Independence90

    independent

    Whether the holder can decide alone β€” an independent company scores higher than a subsidiary of a large group.
  • Data Orientation100

    5 data-appetite signals (4 types)

    How actively the company invests in data, measured by its data-appetite signals (hires, products, APIs…).
  • ICP Audit67

    ⚠ review β€” Naturemetrics is a well-established and growing company whose core business is selling biodiversity monitoring data, insights, and intelligence through a subscription-based platform, which directly conflicts with the ICP's exclusion criteria for companies already selling data or intelligence. Issues: Naturemetrics' core business is providing biodiversity monitoring services and selling nature data and intelligence, including access to their 'Nature Intellige; They are a 'nature intell

Evidence

Dataset evidence & lineage

What the typed evidence proves the company holds β€” reframed for clarity and set against the market.

Market read

Naturemetrics possesses a substantial, high-integrity geospatial dataset derived from advanced environmental DNA (eDNA) and bioacoustics monitoring, offering unparalleled biodiversity insights. This rich, tabular data is uniquely positioned for Geospatial-AI & mobility-analytics teams looking to innovate within the rapidly expanding $60.4 billion Global Geospatial Analytics Artificial Intelligence market. It provides crucial, verifiable evidence for ecological impact assessments, supporting compliance with frameworks like TNFD, and enabling scalable Geo AI applications for environmental intelligence.

Geospatial data

Tabular Β· 3 hits

Direct mentions of 'Habitat Insights' and 'Geospatial Analysis' confirm Naturemetrics' core offering of high-integrity geospatial insights for monitoring landscapes and species, directly appealing to Geo AI teams needing precise environmental intelligence for risk assessment.

Downloads / exports

Tabular Β· 2 hits

This evidence points to downloadable resources, including guides on the TNFD framework and their 'Ecosystem Intelligence Suite,' signaling Naturemetrics' engagement with critical nature-related financial disclosures and integrated ecosystem intelligence solutions.

Public datasets

Tabular Β· 2 hits

This highlights the availability of scalable ecological datasets derived from eDNA, used for impact mitigation and evidencing positive ecological outcomes, crucial for environmental impact assessment and monitoring large-scale projects.

IoT / sensor data

Time Series Β· 2 hits

This describes the foundational eDNA and bioacoustics data collection methods, emphasizing the raw input for biodiversity monitoring and the holder's commitment to leveraging AI for processing these complex, time series and geospatial data streams.

Open data

Tabular Β· 1 hit

This indicates an 'open data approach' to foster scientific inquiry and collaboration, suggesting opportunities for collaborative AI development or validation of models with publicly accessible environmental data for nature recovery initiatives.

Developer portal

Multimodal Β· 1 hit

Reference to a 'Developer Portal' providing 'transparent, verifiable data' for 'Biodiversity Credit Project Developers' strongly implies programmatic access tailored for the burgeoning biodiversity credit market and ESG reporting.

Data catalog / marketplace

Multimodal Β· 1 hit

Details of proprietary 'metabarcoding' and an 'in-house reference library of known genomes' reveal the existence of a proprietary data catalog, offering a unique and high-quality data source for species identification and ecological modeling.

Data-volume signal

Multimodal Β· 1 hit

Mentions of '5,000 Species in Nation's Largest Wildlife Dataset' and 'millions of DNA sequences every week' provide strong evidence of significant data volume and richness, offering substantial scope for training robust Geo AI models and comprehensive ecological insights.

Deal room

Deal Room β€” Naturemetrics β€” Geospatial Dataset Opportunity

status: open

Geospatial Dataset (Tabular, other). 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, CAGR 25.7% (2025-2034); Global Environmental DNA (eDNA) Monitoring market = $422.5 million in 2024, CAGR 18.1% (2025-2033). Rarity: Medium; accessibility: Open / API. Key risk: Owned by the company β€” clean to license. Recommended deal structure: License. Investment score 80.6/100.

Buyer persona

Geospatial-AI & mobility-analytics teams

Market

Global Geospatial Analytics Artificial Intelligence market = $60.4 billion in 2025, CAGR 25.7% (2025-2034); Global Environmental DNA (eDNA) Monitoring market = $422.5 million in 2024, CAGR 18.1% (2025-2033)

Risk

Owned by the company β€” clean to license

Action

License

Coverage

Scanned sources

https://www.naturemetrics.co.ukingested
https://www.naturemetrics.co.uk/case-study/forestry-englandingested
https://www.naturemetrics.co.uk/habitat-insightsingested
https://www.naturemetrics.co.uk/resources/tnfd-journeyingested
https://www.naturemetrics.co.uk/case-study/oxygen-conservationingested
https://www.naturemetrics.co.uk/ecosystemingested
https://www.naturemetrics.co.ukinferred

Deliverable

Premium dataset report

Naturemetrics Geospatial β€” a Large geospatial dataset (Tabular modality) in the other domain. Primary AI use-case: Geo AI. Market signal: Global Geospatial Analytics Artificial Intelligence market = $60.4 billion in 2025, CAGR 25.7% (2025-2034); Global Environmental DNA (eDNA) Monitoring market = $422.5 million in 2024, CAGR 18.1% (2025-2033). Investment score 80.6/100 (confidence 0.92). Recommended action: License.

Teaser is public Β· premium is locked behind access.
Naturemetrics β€” Geospatial Dataset Opportunity β€” Dataset opportunity | d-nvest