Dataset opportunity
Storelectric — 工业传感器数据集机会
Storelectric 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
77.8
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
56%
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预计将从 2024 年的 106 亿美元增长到 2029 年的 478 亿美元，复合年增长率为 35.1%（来源：MarketsandMarkets™）
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
中等
Freshness
实时
Rarity
高（专有）
Accessibility
部分
Legal
公司所有 — 许可干净
Buyer persona
工业人工智能与维护优化供应商
Storelectric 拥有一套高价值的工业传感器数据集，主要由其专有的压缩空气储能 (CAES) 系统的时间序列数据组成。这些反映实际运行压力和性能的 `industrial_data` 和 `iot_data` 数据集，非常适合开发和验证旨在预测设备故障和优化能源行业维护计划的预测性维护人工智能模型。
该数据的商业价值巨大，其运营所在的全球预测性维护市场在 2024 年的估值为106 亿美元，预计将以 35.1% 的复合年增长率增长。[9] 虽然由于敏感的、特定地点的地质数据以及与专有专利相关的技术数据，访问权限需经协商，但该数据集的稀有性和直接的工业相关性为旨在构建强大、经过实际测试的解决方案的 AI 买家在快速扩张的市场中提供了独特的竞争优势。[9] ⚠ 尽职调查（有价值的数据，可协商访问）：地质数据可能特定于地点且敏感；与专有 CAES 专利相关的技术性能数据 · 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 Storelectric 拥有其独特的、大规模工业能源存储运营的专有时间序列数据。该数据集包括来自压力控制和压缩空气储能 (CAES) 系统的详细传感器读数，这是训练复杂的预测性维护算法的稀有资产。对于以工业领域为目标的人工智能供应商来说，这些数据在一个预计到 2029 年将超过 470 亿美元的市场中提供了关键优势，能够开发优化性能和防止下一代绿色能源基础设施故障的模型。
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 Volume58
4 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
人工智能买家需求异常高，这得益于一个预计复合年增长率为 35.1% 的市场，因为公司越来越多地采用数据驱动的策略来防止代价高昂的设备停机时间。[9]
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 Strength74
4 种证据类型，4 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
剩余=高，5 个近期外部信号 — 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.
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
press
- “<figure><div><img src="https://imgproxy.divecdn.com/EahCiV6O8MLgm_J104Pn0P8_FfM1psDw0-ydg66gvG8/g:ce/rs:fill:1600:900:1/Z3M6Ly9kaXZlc2l0ZS1zdG9yYWdlL2RpdmVpbWFnZS9OaW5lRG90LUVuZXJneS1iYXR0ZXJ5LXNjYWxlZC5qcGc=.webp" /></div></figure><p>Distributed capacity has turned the distribution grid into a platform for capacity growth and increased grid utilization, not a cost center driving up rates, writes Sparkfund’s Pier LaFarge.</p>”
- “<figure><div><img src="https://imgproxy.divecdn.com/29fWuybhGAoS93hLXv-4dCN9TVb0CSquJn5V7ryN_HU/g:nowe:540:851/c:4851:2740/rs:fill:1600:900:1/Z3M6Ly9kaXZlc2l0ZS1zdG9yYWdlL2RpdmVpbWFnZS9HZXR0eUltYWdlcy0xNzIzMTA2MDQzLmpwZw==.webp" /></div></figure><p>Data centers willl now have to provide annual energy usage reports to the state, and the PJM Interconnection will need to give state regulators additional insight into its demand forecasting.</p>”
- “<figure><div><img src="https://imgproxy.divecdn.com/3RZOPqj7AGub98zz860mDfOP8-0E3LhDS5JUG3-pkG0/g:ce/rs:fill:1600:900:1/Z3M6Ly9kaXZlc2l0ZS1zdG9yYWdlL2RpdmVpbWFnZS9yYXRlcGF5ZXJfcHJvdGVzdC5qcGc=.webp" /></div></figure><p>Dominion Energy in Virginia is seeking about $1.5 billion in increases across three rate requests, the report said. Oncor in Texas requested the largest single increase in Q2 at $1.2 billion, driven largely by transmission and distribution investments.</p>”
Developer portal
面向公众的文档确立了该公司作为绿色能源领域技术开发商的身份，证实了潜在数据买家所处的工业背景。
Geospatial data
这些表格数据描述了其工业资产的物理位置和地质背景，提供了对全面的资产管理平台有价值的关键地理空间背景。
IoT / sensor data
来自其压缩空气储能 (CAES) 系统的专有物联网数据是构建预测模型的核心资产，直接洞察了独特的能源存储技术的运行效率。
Industrial data
来自高压控制系统的高度精细的传感器数据非常罕见，对于训练强大的预测性维护模型以预测关键工业组件的故障至关重要。
Marketplace
Dataset details
Detailed schema & sample available on access request.
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Coverage
Scanned sources
Deliverable
Premium dataset report
Storelectric 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 is estimated to grow from $10.6 billion in 2024 to $47.8 billion in 2029, CAGR 35.1% (source: MarketsandMarkets™). Investment score 77.8/100 (confidence 0.56). Recommended action: Acquire.
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