Dataset opportunity
Emnify — 移动遥测数据集机会
Emnify 持有的海量移动遥测数据集，可用于预测性维护和异常检测。
Score
73.3
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
67%
Action
数据共享协议
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 = 2026 年为 171.1 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.
- 🔌Public API
用于连接管理和数据流的全面 REST API
source ↗
Profile
Dataset profile
Type
移动遥测数据集
Modality
时间序列
Sector
移动
Volume
大型
Freshness
实时
Rarity
高（专有）
Accessibility
受限
Legal
混合所有权 — GDPR 敏感（个人身份信息审查）
Buyer persona
工业人工智能与维护优化供应商
Emnify 提供结构为时间序列数据的移动遥测数据集，该数据源自其全球物联网网络。该数据集包含丰富的 `geo_data`、`iot_data` 和 `event_streams`，通过分析互联移动资产的实时运行状况、异常检测和故障预测，使其非常适合预测性维护用例。
商业价值巨大，因为到 2026 年，全球预测性维护市场的规模预计将达到171.1 亿美元，复合年增长率为24.30%。[1] 尽管存在数据所有权分割、GDPR 敏感性以及需要导航专有网络等访问复杂性，但这种集成遥测数据的稀缺性和丰富性使其成为旨在利用这一显著市场增长的买家的高价值资产。⚠ 尽职调查（有价值的数据，可协商的访问权限）：数据所有权是分割的：网络元数据是专有的，但有效载荷数据属于客户；由于可能跟踪与个人关联的物联网设备（例如，可穿戴设备、电动自行车），因此存在 GDPR 敏感性；访问需要导航其专有的云原生核心网络基础设施。· 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 Emnify 拥有并运营一个专有的全球物联网连接网络，从托管的移动资产生成高保真遥测和事件流。这些原始时间序列数据对于寻求构建和优化预测性维护模型的工业人工智能和维护优化供应商至关重要。在一个预计到 2026 年将超过 170 亿美元的市场中，访问此类独特的设备行为信号为训练更准确、更及时的 AI 系统提供了独特的竞争优势。
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 Volume76
7 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 Demand90
人工智能买家需求旺盛，这得益于一个快速增长的市场，预计到 2026 年将达到 171.1 亿美元，复合年增长率为 24.30%，因为公司竞相采用数据驱动的维护解决方案。[1]
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility32
开放/API 访问
How legally easy the data is to obtain and use — open/API access scores high; PII or regulated data scores low. - Acquisition Feasibility4
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 Strength92
5 种证据类型，7 次命中
How solid the proof is that the company holds this data — diversity of evidence types and number of hits. - Right to License28
所有权=混合，许可=GDPR 敏感
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 Orientation39
1 个数据需求信号（1 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. - Deep Qualification80
✓ 通过 — Emnify 是物联网连接提供商，而非数据销售商。它作为其服务的副产品生成有价值的移动遥测元数据，但数据有效载荷属于其客户，从而创建了具有重大 GDPR 限制的混合所有权模型。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
IoT / sensor data
证据证实 Emnify 运营着自己的核心物联网网络，该网络得到 Gartner 的认可，可生成关于设备连接和生命周期的专有时间序列数据——这是任何预测性维护解决方案的基础层。
API access
该公司提供用于程序化访问的REST API，使 AI 开发人员能够系统地摄取设备数据并将其直接集成到他们的机器学习管道中。
Developer portal
存在一个专门的开发者中心，用于支持数据集成，提供工具和事件通知，从而简化了在平台之上构建的工程团队的入职流程。
Geospatial data
该数据集包含与连接事件一起流式传输的实时位置数据，从而能够对移动或分布式工业资产进行资产跟踪和地理上下文分析。
Event streams
Emnify 提供实时事件流，详细说明网络连接、数据消耗和信令，提供检测异常和预测设备故障所需的精细遥测。
Marketplace
Dataset details
Detailed schema & sample available on access request.
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Coverage
Scanned sources
Deliverable
Premium dataset report
Emnify Mobility Telemetry — a Large mobility telemetry dataset (Time Series modality) in the mobility domain. Primary AI use-case: Predictive Maintenance. Market signal: Global Predictive Maintenance Market = $17.11B in 2026, CAGR 24.30% (source: Fortune Business Insights). [1]. Investment score 73.3/100 (confidence 0.67). Recommended action: Data Sharing Agreement.
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