Dataset opportunity
Nunner — 移动遥测数据集机会
Nunner 持有的中等移动遥测数据集，可用于预测性维护和异常检测。
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
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 136.5 亿美元，复合年增长率为 24.30%。
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
移动遥测数据集
Modality
时间序列
Sector
移动
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
Nunner 持有一个全面的移动遥测数据集，由其物流运营的时间序列数据组成。这包括详细的 `event_streams`、`geo_data` 和 `iot_data`，提供丰富的、结构化的运输事件、车辆位置和传感器读数记录，非常适合训练预测性维护模型，以预测设备故障并优化车队正常运行时间。
预测性维护的全球市场在 2025 年的价值为136.5 亿美元，预计将以 24.30% 的复合年增长率增长，这表明该领域存在大量投资和需求。[2] 虽然由于数据所有权共享和现有的 BI 孤岛，访问需要协商，但该数据集的独特价值在于其专有的聚合网络基准和来自独联体等复杂地区的绩效数据，为人工智能买家提供了获得竞争优势的难得机会。⚠ 尽职调查（有价值的数据，可协商访问）：数据包括跨独联体等复杂地区的多种运输时间和承运商绩效；已运营 BI 部门，意味着数据结构化但可能与外部人工智能训练市场隔离开来；特定货运数据的所有权可能与客户共享，但聚合网络基准是专有的。· 公司：独立。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
这些证据证实 Nunner 拥有专有的、稀有度高的遥测数据集，该数据集捕获了欧洲和独联体地区的实际物流运营。数据结合了连续的时间序列信号与深入的运营和地理背景，涵盖公路、铁路、海运和空运货运。对于工业人工智能供应商而言，这是开发复杂的预测性维护模型以预测资产故障和优化车队性能的关键燃料。在一个预计到 2025 年将超过 130 亿美元的市场中，访问如此广泛的运营数据提供了明显的竞争优势。
See dimension details ↓- Dataset Specificity90
占主导地位的 'iot_data'，行业为移动，3 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 Rarity82
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 Value84
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 Demand92
人工智能买家需求极高，这得益于此类数据类型快速增长的市场，预计复合年增长率为 24.30%。[2]
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 Feasibility30
中等难度，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 Audit67
⚠ 审查 — Nunner 是一家物流提供商，已将其商业智能和大数据分析作为其 4PL/LLP 服务核心部分提供，因此不适合作为其业务已在销售智能。问题：公司网站明确列出了“商业智能 (BI) 和大数据”作为一项服务。[2, 3, 8, 9]；此服务包括为客户提供定制仪表板、广泛的分析以及关于财务、承运商绩效和可持续性的报告；此产品是其先进物流解决方案的一部分，旨在创建透明且具有成本效益的供应链，这意味着他们已经在生产
- Deep Qualification80
✓ 通过 — Nunner 是一家物流服务提供商，其运营数据（遥测、地理数据）是一个合理但未明确货币化的资产，具有混合所有权和不明确的许可权，使得直接数据获取复杂。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Event streams
持有者生成连续的时间序列事件流，以监控和预测物流流，提供训练预测性人工智能模型所需的原始信号数据。
IoT / sensor data
该数据集包括一个广泛的时间序列数据库，包含承运商管理和绩效信息，为优化欧洲和独联体地区的物流网络提供了深入的运营背景。
Geospatial data
该数据集基于全球货运的多模式运营数据，提供了构建稳健、可扩展的维护模型所需的关键地理和物流背景。
Marketplace
Dataset details
Detailed schema & sample available on access request.
Coverage
Scanned sources
Deliverable
Premium dataset report
Nunner Mobility Telemetry — a Moderate mobility telemetry dataset (Time Series modality) in the mobility domain. Primary AI use-case: Predictive Maintenance. Market signal: Global Predictive Maintenance market = $13.65 billion in 2025, CAGR 24.30% (source: Fortune Business Insights). [2]. Investment score 48.0/100 (confidence 0.49). Recommended action: Acquire.
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