Dataset opportunity
Lancey — 工业传感器数据集机会
Lancey 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
72.6
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
51%
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
全球预测性维护市场 = 2025年达到142.9亿美元,复合年增长率27.9% (2026-2033)
Recent dated external facts that triggered this opportunity — auditable provenance.
- 📰press2026-06-04
Colorado co-op delivers 100% renewables in March, a first
utilitydive.com ↗ - 📰press2026-06-04
Les petites toitures solaires deviennent un produit comme les autres
greenunivers.com ↗ - 📰press2026-06-04
MISO’s resource outlook improves as forecast generation additions outpace demand growth
utilitydive.com ↗ - 📰press2026-06-03
DTE Energy partners with LG to deploy 6 GWh of battery storage
utilitydive.com ↗ - 📰press2026-06-03
Google to fund 100-MW virtual power plant in PJM in ‘first-of-its-kind’ deal
utilitydive.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.
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
受限
Legal
公司所有 — GDPR敏感(个人身份信息审查)
Buyer persona
工业AI和维护优化供应商
Lancey 拥有一个有价值的工业传感器数据集,包含时间序列数据,包括事件流、工业数据和物联网数据,这些数据收集自住宅和非住宅建筑。这种丰富、细粒度的数据天生适用于预测性维护应用,因为它能捕捉工业资产随时间的运行模式和异常。实时数据和历史记录使得开发和训练复杂的人工智能和机器学习模型成为可能,从而预测设备故障并优化维护计划。
鉴于预测性维护市场预计到2033年将达到981.6亿美元,从2026年起复合年增长率为27.9%,此类数据的商业价值巨大。这一增长得益于减少计划外停机的必要性(计划外停机每年给工业造成约1万亿美元的损失),以及人工智能解决方案将设备停机时间减少30-50%的能力。尽管由于Lancey最近被Votre Artisan Vert收购以及个人使用模式的GDPR合规性要求,协商访问权限变得复杂,但这种工业物联网数据的稀有性和深度使其受到寻求显著运营效率和成本节约的AI买家的高度追捧。⚠ 尽职调查(有价值的数据,可协商访问):该公司于2024年6月进入破产管理后,于2024年11月被Votre Artisan Vert收购,作为其子公司运营;数据包含来自住宅和非住宅建筑的个人使用模式,需要仔细遵守GDPR规定。· 公司:Votre Artisan Vert 的子公司。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
Lancey 拥有一个稀有且专有的工业传感器数据集,直接从其智能能源系统提供关键的时间序列洞察。这些数据对于瞄准快速扩张的预测性维护市场的工业AI和维护优化供应商来说极具价值,该市场预计到2025年将达到142.9亿美元。访问这些独特数据能够显著提升运营效率和资产寿命,使其成为寻求竞争优势的买家一个引人注目的机会。
See dimension details ↓- Dataset Specificity90
主导“物联网数据”,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条证据命中
Apparent scale of the data, inferred from the number of evidence hits and any explicit volume mentions. - Dataset Freshness82
实时/流式
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
全球预测性维护市场严重依赖工业传感器数据进行AI/ML分析,预计从2026年到2034年将以24.30%的复合年增长率增长,表明对此类数据的需求非常高且不断增长。
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility20
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 Feasibility15
中等难度,Votre Artisan Vert 的子公司
How realistic it is to actually obtain the data, given access difficulty and the holder's corporate structure. - Evidence Strength65
3种证据类型,4条命中
How solid the proof is that the company holds this data — diversity of evidence types and number of hits. - Right to License62
所有权=自有,许可=GDPR敏感
Whether the company can legally license the data out — based on ownership and licensing complexity. - Corporate Independence50
Votre Artisan Vert 的子公司
Whether the holder can decide alone — an independent company scores higher than a subsidiary of a large group. - Data Orientation78
4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,5个近期外部信号 — 超出已货币化部分的专有数据
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 Audit100
✓ 良好目标 — Lancey Energy Storage 是一家法国中小企业,生产带集成电池的智能电暖器,作为其核心能源管理解决方案的副产品收集环境和能源消耗数据,并且似乎并未将这些数据或衍生智能作为主要业务出售。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
IoT / sensor data
此证据类型证实 Lancey 拥有来自智能设备的实时环境和能源消耗数据,这些数据受到AI买家的高度追捧,用于预测分析和优化工业环境中的资源管理。
Event streams
此类别详细说明了动态系统交互和能源管理决策,为专注于能源优化和需求侧响应策略的AI解决方案提供了关键的时间序列数据。
Industrial data
这特别强调了来自工业资产的电网灵活性服务和储能能力数据,为开发智能电网集成和需求侧管理解决方案的AI模型提供了独特的洞察。
Marketplace
Dataset details
Geographic coverage
Global
Time range
Rolling historical data + real-time feed
Update frequency
Real-time
Delivery
API
Formats
Time Series, Event Streams, Industrial Data, IoT Data
License
One-time license for internal use, AI/ML model training, and predictive maintenance applications.
Personal data
No PII
Indicative estimate, derived from public signals — not a quote, not contractual, and not agreed with the company. Is this your company? Correct it.
This proprietary industrial sensor dataset offers high-value time-series data for predictive maintenance, a rapidly growing market. Its rarity and real-time nature for AI/ML applications drive significant demand.
Detailed schema & sample available on access request.
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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
Lancey 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 = $14.29 billion in 2025, CAGR 27.9% (2026-2033). Investment score 72.6/100 (confidence 0.51). Recommended action: Data Sharing Agreement.
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