Dataset opportunity
Renewprop — 工业传感器数据集机会
Renewprop 持有的海量工业传感器数据集，可用于预测性维护和异常检测。
Score
78.7
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
60%
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
全球预测性维护市场在 2025 年的估值为 142 亿美元，预计复合年增长率为 27.9%（2026-2033 年）（来源：Grand View Research）。[1]
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
工业传感器数据集
Modality
时间序列
Sector
工业
Volume
大型
Freshness
实时
Rarity
高（专有）
Accessibility
部分
Legal
公司所有 — 可授权许可
Buyer persona
工业人工智能与维护优化供应商
Renewprop 持有一个专有的工业传感器数据集，该数据集包含从其物理基础设施资产收集的高频时间序列数据。这些丰富的iot_data 包括详细的运营指标、地理数据和工业传感器读数，非常适合开发和训练预测性维护模型，以预测设备故障并优化运营正常运行时间。
商业价值巨大，因为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。[1] 虽然访问此数据需要进行谈判，因为它与长期公用事业合同和潜在合作伙伴保密协议相关，但其稀有性和直接适用性为旨在降低维护成本和提高资产性能的 AI 买家提供了显著的竞争优势。[1] ⚠ 尽职调查（有价值的数据，可协商访问）：数据与物理基础设施资产和长期公用事业合同相关；运营数据可能受合资企业或融资合作伙伴保密协议的约束；电动汽车充电数据涉及车队运营商的使用模式。· 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 Renewprop 拥有并运营着一个可再生能源和电动汽车基础设施资产组合，生成专有的时间序列传感器数据。该数据集直接服务于高增长的预测性维护市场，使 AI 供应商能够开发和验证资产优化算法。在一个预计年增长率接近 28% 的市场中，这些关于太阳能、储能和电动汽车车队资产的稀有数据为训练下一代预测性维护模型提供了显著的竞争优势。
See dimension details ↓- Dataset Specificity90
主导的 'iot_data'，行业为工业，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 Volume70
6 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
AI 买家需求异常强劲，这得益于预测性维护市场的快速扩张，预计复合年增长率为 27.9%，表明对高质量工业时间序列数据存在迫切需求。[1]
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility62
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 Strength80
4 种证据类型，6 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=已拥有，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 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 Audit100
✓ 良好目标 — 该公司开发、拥有和运营大量的太阳能和储能项目，使其成为有价值的、未被充分利用的工业传感器和运营数据的首选持有者，并且不销售数据或人工智能作为产品。
- Deep Qualification80
✓ 通过 — 该目标公司开发、拥有和运营可再生能源资产，提供产生有价值传感器数据的优化服务；然而，这些数据受到与公用事业公司、土地所有者和融资方的合作伙伴关系的限制，使得许可权复杂且不明确。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Developer portal
面向公众的开发者材料证实了 Renewprop 作为复杂工业项目经验丰富的运营商的角色，确立了底层数据资产的商业背景和物理来源。
IoT / sensor data
网站提及的项目级监控和电动汽车充电服务证实了从部署的资产中主动收集物联网数据，这对于训练与电网和车队电气化相关的模型至关重要。
Geospatial data
诸如选址和可行性研究等服务的证据表明存在有价值的、互补的地理空间数据，这些数据可以通过特定位置的变量来丰富预测模型。
Industrial data
直接提及为太阳能、储能和电动汽车基础设施提供预防性维护，证实了公司的运营重点以及该数据集与目标预测性维护用例的直接适用性。
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
Renewprop Industrial Sensor — a Large 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% (2026-2033) (source: Grand View Research). [1]. Investment score 78.7/100 (confidence 0.6). Recommended action: Acquire.
From the marketplace
Explore live data opportunities
Wasterobotics — 工业运营数据集机会
View opportunity →其他Dryad — 传感器遥测数据集机会
View opportunity →金融Forestcarbon — 知识库数据集机会
View opportunity →