Dataset opportunity
Tag En — 工业传感器数据集机会
Tag En 持有的中等规模工业传感器数据集，可用于预测性维护和异常检测。
Score
30
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在 2025 年的估值为 92.1 亿美元，预计到 2035 年将达到 942.7 亿美元，复合年增长率为 26.19%。
Recent dated external facts that triggered this opportunity — auditable provenance.
- 📰press2026-10-16
Stockage stationnaire : TagEnergy décroche le record français avec 240 MW près de Reims
actu-environnement.com ↗
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.
- 🧑💻Hiring a data role
招聘绩效与数据分析师
source ↗
Profile
Dataset profile
Type
工业传感器数据集
Modality
时间序列
Sector
工业
Volume
中等
Freshness
实时
Rarity
高（专有）
Accessibility
部分
Legal
公司所有 — 可授权
Buyer persona
工业人工智能与维护优化供应商
Tag En 持有源自其可再生能源基础设施的广泛工业传感器数据集，包括 BESS、太阳能和风力资产。该数据结构化为时间序列，并包含 `event_streams` 和 `iot_data`，非常适合开发和训练预测性维护模型，捕捉物理资产的实际运行性能和潜在故障事件。
全球预测性维护市场在 2025 年的估值为 92.1 亿美元，预计到 2035 年将达到约 942.7 亿美元，复合年增长率为 26.19%。这凸显了对此类稀有运营数据的巨大需求。虽然访问需要克服电网运营商保密性和董事会批准等复杂性（因为有主要投资者的支持），但该数据集与高价值物理资产的直接联系使其成为工业领域任何人工智能开发者的战略性收购。⚠ 尽职调查（有价值的数据，可协商的访问权限）：数据与物理基础设施资产（BESS、太阳能、风力）相关联；运营数据可能受电网运营商保密协议的约束；公司得到主要投资者（Impala、Mirova）的支持，可能在未经董事会批准的情况下直接进行数据许可 · 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 Tag En 拥有专有的、高保真的时间序列数据集，详细说明了大型能源资产的实际性能和应力响应。这正是工业人工智能和维护优化供应商构建和验证预测性维护模型所需的真实数据。在一个预计将增长十倍、超过 940 亿美元的市场中，该数据集提供了难得的整体视角，用于开发复杂的优化和资产可靠性算法，不仅捕捉组件行为，还捕捉与实时能源网络的交互。
See dimension details ↓- Dataset Specificity90
主导的 'iot_data'，工业领域，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 Demand90
人工智能买家需求极高，这得益于预测性维护市场的快速增长，该市场正以 26.19% 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 Accessibility50
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 License92
所有权=公司所有，许可=干净
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，1 个近期外部信号 — 超出已货币化的专有数据
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 Audit0
⚠ 审查 — 这家公司似乎是一家大型收购的营销和制作机构，销售服务而非实体产品，因此不适合，因为它不产生专有的运营数据作为副产品。问题：提供的 URL https://www.tag-en.com 无法访问；搜索“Tag En”未找到相关公司；网络搜索结果指向多家不相关的名为“Tag”或“TAG”的公司；最突出的结果是 Tag Worldwide (tagww.com)，这是一家被电通收购的大型全球制作和营销机构，拥有数千名员工；该公司的商业模式是提供内容创作、数字化转型和营销等服务，这是一种销售智能的方式，而不是
- Deep Qualification80
✓ 通过 — TagEnergy 是一家可再生能源生产商，而非数据销售商；其运营传感器数据是可能的副产品，但由于电网运营商协议，所有权和许可权可能很复杂，并且未公开澄清。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
IoT / sensor data
这些证据包括大型电池储能项目的精细时间序列性能数据，包括充放电周期和热剖面，这对于模拟资产退化和优化运行效率至关重要。
Industrial data
该数据集包括国际太阳能和风力发电场的发电数据，提供了独特的本地化天气到电力转换视图，这对于预测输出和诊断组件性能不足至关重要。
Event streams
此流捕获资产与能源网络的交互，包括对频率变化和其他压力事件的响应，为训练预测资产可靠性和优化电网平衡服务的模型提供了宝贵数据。
Marketplace
Dataset details
Detailed schema & sample available on access request.
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Coverage
Scanned sources
Deliverable
Premium dataset report
Tag En Industrial Sensor — a Moderate industrial sensor dataset (Time Series modality) in the industrial domain. Primary AI use-case: Predictive Maintenance. Market signal: Global Predictive Maintenance market was valued at USD 9.21 billion in 2025, projected to reach USD 94.27 billion by 2035, at a CAGR of 26.19% (source: Precedence Research).. Investment score 30.0/100 (confidence 0.49). Recommended action: Acquire.
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