Dataset opportunity
Netomnia — 传感器遥测数据集机会
Netomnia 持有的中等规模传感器遥测数据集，可用于预测性维护和异常检测。
Score
67.4
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
49%
Action
收购
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)
全球预测性维护市场 = 2025 年为 134 亿美元，复合年增长率为 23.2%（2026-2035 年）。
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.
Concrete evidence this company actively cares about data — why it's ripe for the deal room.
Profile
Dataset profile
Type
传感器遥测数据集
Modality
时间序列
Sector
其他
Volume
中等
Freshness
实时
Rarity
高（专有）
Accessibility
受限
Legal
公司所有 — 许可权待澄清
Buyer persona
工业人工智能与维护优化供应商
Netomnia 持有一个有价值的传感器遥测数据集，该数据集由其关键国家光纤基础设施的时间序列数据组成。此物联网数据、地理数据和业务记录的集合提供了对网络组件运行状况的精细、实时洞察，使其非常适合开发和训练旨在预测设备故障和防止服务中断的预测性维护模型。
预测性维护的全球市场规模可观，2025 年价值134 亿美元，预计将以23.2% 的复合年增长率增长。[1] 虽然访问此数据需要克服安全限制和 Brsk 合并后潜在的治理复杂性，但其稀有性以及在快速扩张的市场中直接应用于高价值人工智能用例的适用性，使其成为战略买家的重要资产。⚠ 尽职调查（有价值的数据，可协商的访问权限）：数据涉及关键国家基础设施，可能存在安全限制；近期与 Brsk 合并可能会使数据治理和统一访问复杂化；批发模式意味着某些流量数据可能受 ISP 隐私协议的约束。· 公司：独立。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
这些证据共同证明 Netomnia 拥有其广泛的英国国家光纤基础设施生成的专有、大规模传感器遥测数据集。该数据的高分辨率、时间序列性质使其成为训练复杂的预测性维护算法的稀有且有价值的资产。对于工业人工智能供应商而言，这是一个独特的机会，可以在真实的网络性能数据上开发和验证模型，从而利用快速增长的 134 亿美元预测性维护市场。
See dimension details ↓- Dataset Specificity62
占主导地位的“物联网数据”，行业其他，2 种特定类型
How sharply the data targets a specific, hard-to-substitute domain or task. Niche, well-defined data scores higher than generic. - Dataset Rarity70
专有领域数据
How scarce and proprietary the data is. Unique domain data scores high; openly available data lowers it. - Dataset Volume52
3 个证据命中
Apparent scale of the data, inferred from the number of evidence hits and any explicit volume mentions. - Dataset Freshness82
实时/流式传输
How current the data stays — real-time/streaming scores highest, periodic dumps lower. - Training Value74
适用于预测性维护
How useful the data is for the target AI use-case — its fit for model training or fine-tuning. - Buyer Demand90
人工智能买家需求异常高，这得益于预测性维护市场的快速增长，预计该市场将以 23.2% 的复合年增长率扩张。
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility28
受限/未知
How legally easy the data is to obtain and use — open/API access scores high; PII or regulated data scores low. - Acquisition Feasibility14
高难度，独立
How realistic it is to actually obtain the data, given access difficulty and the holder's corporate structure. - Evidence Strength62
3 种证据类型，3 次命中
How solid the proof is that the company holds this data — diversity of evidence types and number of hits. - Right to License70
所有权=公司所有，许可=权利不明确
Whether the company can legally license the data out — based on ownership and licensing complexity. - Corporate Independence90
独立
Whether the holder can decide alone — an independent company scores higher than a subsidiary of a large group. - Data Orientation56
2 个数据需求信号（2 种类型）
How actively the company invests in data, measured by its data-appetite signals (hires, products, APIs…). - Dormant Data Surplus92
盈余=高 — 专有数据超出已货币化的部分
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 Audit92
✓ 良好目标 — Netomnia 是一个强有力的目标，因为它运营着一个大型的专有英国光纤网络，使其运营和传感器遥测数据成为其核心批发连接业务的有价值副产品。问题：该公司正在与 Nexfibre 合并，这将创建一个更大的实体，可能使其脱离中小企业类别并增加复杂性；关于 CityFibre 的潜在收购正在进行谈判，这可能会改变其结构和战略。[20]；员工人数因来源而异（219 至 583 人），但最新数据显示已超过中小企业 250 人的门槛。[2, 6]
- Deep Qualification80
✓ 通过 — Netomnia 是一家批发光纤网络运营商，因此传感器遥测数据集作为网络监控的副产品是合理的。近期与 Brsk 的合并以及该公司作为关键国家基础设施的地位，在数据所有权和转售权方面带来了重大的复杂性。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Geospatial data
这是地理空间基础设施数据，绘制了超过 35,000 公里的物理网络，为任何维护模型提供了资产地理多样性和规模的基本背景。
IoT / sensor data
这是来自现代 10Gbps 网络的高保真实时网络遥测，代表了构建和完善预测性维护算法的核心训练数据。
business_records
这些是客户部署指标，验证了网络的商业规模和密度，证实了数据来自拥有 445,000 个活动连接的成熟、重度使用基础设施。
Marketplace
Dataset details
Detailed schema & sample available on access request.
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Coverage
Scanned sources
Deliverable
Premium dataset report
Netomnia Sensor Telemetry — a Moderate sensor telemetry dataset (Time Series modality) in the other domain. Primary AI use-case: Predictive Maintenance. Market signal: Global Predictive Maintenance market = $13.4 billion in 2025, CAGR 23.2% (2026-2035) (source: Market.us). Investment score 67.4/100 (confidence 0.49). Recommended action: Acquire.
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