Dataset opportunity
Return — 工业传感器数据集机会
Return 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
45
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 142 亿美元，预计将以 27.9% 的复合年增长率增长。
Recent dated external facts that triggered this opportunity — auditable provenance.
- 📰press2026-09-01
Gigabatterij van 800 megawattuur voor Groningen: Vattenfall en Return tekenen historische deal
solarmagazine.nl ↗
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
实时响应的软件/将数据转化为决策
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
Return 持有一个专有的工业传感器数据集，该数据集由其拥有和运营的大型电池储能系统（BESS）产生的高频时间序列遥测数据组成。这些运营中的 `iot_data`，包括 `event_streams` 和 `industrial_data`，提供了资产性能和退化的精细、真实世界的洞察，使其非常适合开发预测性维护人工智能模型。
全球预测性维护市场在 2025 年的估值为142 亿美元，预计将以惊人的27.9% 的复合年增长率增长。[2] 由于该数据源自有价值的物理资产，因此其访问权限需要协商，但其稀缺性和对电网建模及电池退化人工智能的直接适用性提供了显著的外部价值，这证明了寻求在该快速扩张市场中获得竞争优势的买家的投资是合理的。⚠ 尽职调查（有价值的数据，可协商访问）：数据由公司拥有和运营的物理能源资产生成；包括来自大型电池系统（BESS）的高频遥测数据；运营数据用于内部优化，但对电网建模和电池退化人工智能具有显著的外部价值。· 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 Return 从其在欧洲拥有和运营的大型能源存储解决方案中生成专有的第一方时间序列数据。对于工业人工智能供应商而言，该数据集是一个难得的机会，可以在真实世界的运营数据上训练和验证来自电网平衡系统的预测性维护模型。在一个年增长率接近 28% 的市场中，这些独特的数据通过实现对快速扩张的清洁能源行业更准确的故障预测和资产优化，提供了显著的竞争优势。
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 Demand95
人工智能买家需求极高，这得益于预测性维护市场的快速扩张，预计该市场将以 27.9% 的复合年增长率增长。[2]
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 个命中
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，授权=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 个数据胃口信号（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 Audit50
⚠ 审查 — 公司的核心业务是通过建设和运营大型电池系统提供“存储即服务”，而不是通过其他运营业务产生数据。问题：核心业务是提供能源基础设施服务，而不是非数据运营业务；公司的产品是访问其平台和能源存储解决方案网络。[3]；这是一个服务/基础设施提供商，明确排除在 ICP 之外；该公司是一个投资和支持清洁能源项目的平台，这是一种金融/投资模式，而不是运营模式。
- Deep Qualification90
✓ 通过 — Return 是一个数据持有者。它建设、拥有和运营大型电池储能系统，销售存储即服务。运营传感器数据是其核心业务的副产品，归公司所有，使其成为一个有吸引力的目标。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
IoT / sensor data
这是专有的物联网数据，源自公司拥有和运营的能源存储基础设施内的智能能源流管理，对于构建资产性能优化模型至关重要。
Industrial data
这些证据指向来自用于电网平衡的电池储能系统的高价值工业传感器数据，这是人工智能供应商改进电网稳定性和运营效率的关键输入。
Event streams
这表明存在由连接和管理其分布式能源资产的软件系统生成的实时事件流，这对于开发响应式控制和异常检测算法至关重要。
Marketplace
Dataset details
Detailed schema & sample available on access request.
Want this data?
Request access — we broker a secure deal room. Operator-reviewed, no automatic sharing.
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
Return 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 14.2 billion in 2025, projected to grow at a CAGR of 27.9% (source: Grand View Research). [2]. Investment score 45.0/100 (confidence 0.49). Recommended action: Acquire.
From the marketplace
Explore live data opportunities
Envirowastemanagement — 检验报告数据集机会
View opportunity →其他Accordiaglobal — 检验报告数据集机会
View opportunity →医疗保健Fusixbiotech — 工业运营数据集机会
View opportunity →