Dataset opportunity
Dedrone — Downloadable Data Asset Opportunity
Matériel de données téléchargeable modéré détenu par Dedrone, utilisable pour le Fine Tuning et le Pretraining.
Score
48
Score (0–100) blends weighted dimensions — 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
46%
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 size (indicative estimate)
De wereldwijde anti-drone markt had een omvang van USD 2,97 miljard in 2025, met een verwachte groei van 26,4% CAGR (2026-2035).
Lineage
How this lead was derived
The signal-first chain, end to end: recent external signals → qualified niche → resolved data-holder → site verification → scored opportunity. Every lead is explainable.
Profile
Dataset profile
Type
Downloadable Data Asset
Modality
Tabular
Sector
industrial
Volume
Moderate
Freshness
Periodic
Rarity
Low (commodity)
Accessibility
Open / API
Legal
Ownership to confirm — licensing to confirm
Buyer persona
Domain LLM builders & vertical AI startups
Dedrone bezit uitgebreide tabellaire datasets afkomstig van zijn wereldwijde netwerk van counter-drone sensoren. Deze gegevens omvatten gedetailleerde records van drone-detecties, zoals radiofrequentiehandtekeningen, vluchttelemetrie, akoestische profielen en bijbehorende omgevingsomstandigheden, waardoor het uitzonderlijk geschikt is voor het Fine Tuning van geavanceerde AI-modellen voor drone-identificatie en beoordeling van luchtdreigingen.
De wereldwijde anti-drone markt werd gewaardeerd op USD 2,97 miljard in 2025 en zal naar verwachting groeien met een CAGR van 26,4% tot 2035, gedreven door stijgende veiligheidsdreigingen. [1] Deze significante groei onderstreept de hoge vraag naar geavanceerde beveiligingsoplossingen. De zeldzaamheid en real-world oorsprong van deze specifieke sensordata maken het een zeer waardevol bezit voor ontwikkelaars die de volgende generatie AI willen bouwen voor de bescherming van kritieke infrastructuur, ondanks eventuele complexiteiten bij de toegang ertoe. ⚠ Diligence (waardevolle data, toegang te onderhandelen): corporate: structuur te bevestigen.
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
Dit bewijs geeft aan dat Dedrone uitgebreide operationele datasets bezit die zijn afgeleid van zijn wereldwijde sensorennetwerk, met details over real-world drone-activiteit. Dit kernbezit wordt aangevuld met gestructureerde klantintentie data van prospects die actief onderzoek doen naar anti-drone oplossingen. Voor domein LLM-bouwers is deze tabellaire data een waardevol bezit voor het fine-tunen van modellen om drone-gedrag te begrijpen en te voorspellen, een cruciale capaciteit in de anti-drone markt die naar verwachting met meer dan 26% per jaar zal groeien. Deze dataset biedt een directe weg naar de ontwikkeling van gespecialiseerde AI voor security, defense en industrial toepassingen in een snelgroeiend, high-stakes domein.
See dimension details ↓- Dataset Specificity54
dominant 'downloads', sector industrial, 0 specific types
How sharply the data targets a specific, hard-to-substitute domain or task. Niche, well-defined data scores higher than generic. - Dataset Rarity22
proprietary domain data (open lowers rarity)
How scarce and proprietary the data is. Unique domain data scores high; openly available data lowers it. - Dataset Volume58
4 evidence hits
Apparent scale of the data, inferred from the number of evidence hits and any explicit volume mentions. - Dataset Freshness62
API/open (current)
How current the data stays — real-time/streaming scores highest, periodic dumps lower. - Training Value44
fit for Fine Tuning
How useful the data is for the target AI use-case — its fit for model training or fine-tuning. - Buyer Demand90
AI buyer demand is high, driven by the critical need for advanced security systems in a fast-growing **anti-drone market** projected to expand at a **CAGR of 26.4%**. [1]
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility72
open/API access
How legally easy the data is to obtain and use — open/API access scores high; PII or regulated data scores low. - Acquisition Feasibility66
medium difficulty, structure to confirm
How realistic it is to actually obtain the data, given access difficulty and the holder's corporate structure. - Evidence Strength56
2 evidence types, 4 hits
How solid the proof is that the company holds this data — diversity of evidence types and number of hits. - Right to License59
ownership=unknown, licensing=unknown
Whether the company can legally license the data out — based on ownership and licensing complexity. - Corporate Independence70
structure to confirm
Whether the holder can decide alone — an independent company scores higher than a subsidiary of a large group. - Data Orientation22
0 data-appetite signals (0 types)
How actively the company invests in data, measured by its data-appetite signals (hires, products, APIs…). - Dormant Data Surplus70
surplus=medium — proprietary data beyond what's already monetised
Volume and value of proprietary data this company holds BEYOND what it already monetises — the dormant surplus we can unlock. A company can sell some insights AND still sit on a far larger dormant asset. - ICP Audit67
⚠ review — Dedrone's core business is selling an AI-powered airspace security platform and intelligence software to detect and mitigate drone threats, making it a seller of intelligence, not a holder of dormant data. Issues: Company's core product is AI software (DedroneTracker.AI) and derived intelligence (threat detection, classification, alerts), which is an explicit exclusion cr; The business model is hardware (sensors) plus a recurring SaaS software revenue. [7, 17]; The company was acquired by Axon (a large public safety tech company) in 2024, making it part of a larger, non-SME group and not a standalone entity. [2, 6, 11]; Dedrone is a market leader in 'airspace security' and 'counter-drone technology', a form of intelligence-as-a-service, which means it is already on the market d
- Deep Qualification70
✓ pass — Dedrone is a strong candidate, possessing valuable counter-drone sensor data as a by-product of its AI-driven security platform, but its acquisition by Axon and the likely mixed data ownership model require careful due diligence.
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Downloads / exports
The company captures structured customer intent data by offering downloadable technical brochures and case studies, providing a direct signal of commercial interest in anti-drone solutions.
Public datasets
Public reports confirm the existence of a proprietary, operational dataset sourced from the company's global sensor network, detailing drone activity across multiple continents.
Marketplace
Dataset details
Detailed schema & sample available on access request.
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This listing was generated automatically from public signals. It is not verified, and we are not affiliated with this company.
Coverage
Scanned sources
Deliverable
Premium dataset report
Dedrone Downloadable Data — a Moderate downloadable data asset (Tabular modality) in the industrial domain. Primary AI use-case: Fine Tuning. Market signal: Global anti-drone market size accounted for USD 2.97 billion in 2025, expected to grow at a CAGR of 26.4% (2026-2035) (source: Precedence Research). [1]. Investment score 48.0/100 (confidence 0.46). Recommended action: License.
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