Dataset opportunity
Voltalis — 传感器遥测数据集商机
由 Voltalis 持有的中等规模传感器遥测数据集，可用于预测性维护和异常检测。
Score
72.4
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
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 $14.29 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.
Profile
Dataset profile
Type
传感器遥测数据集
Modality
时间序列
Sector
其他
Volume
中等
Freshness
实时
Rarity
高（专有）
Accessibility
受限
Legal
混合所有权 — GDPR敏感（PII审查）
Buyer persona
工业人工智能和维护优化供应商
Voltalis 拥有丰富的传感器遥测数据集，包含时间序列数据，涵盖事件流、地理数据、工业数据和物联网数据。这些从客户场所安装的设备收集到的高频信息，通过识别细微模式和异常，对于预测潜在设备故障和优化维护计划至关重要，因此特别适用于预测性维护应用。
全球预测性维护市场规模巨大，预计2025年达到142.9亿美元，并预计到2033年将达到981.6亿美元，复合年增长率（CAGR）为27.9%。这一巨大的市场需求得益于其能够大幅减少昂贵的计划外停机时间，在某些行业中，停机时间的平均成本约为每小时125,000美元。尽管由于涉及个人信息需要GDPR合规性，且数据是Voltalis服务的副产品而非直接销售，导致访问复杂，但这种真实、细粒度数据的稀有性和运营相关性使其对于高级AI买家用例具有极高的价值。⚠ 尽职调查（有价值的数据，可协商访问）：数据包含个人信息，需要严格遵守GDPR；数据通过安装在客户场所的设备收集；Voltalis通过电力网络获得服务报酬，而非直接销售原始数据。· 企业：独立。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
Voltalis 提供了一个异常大规模的专有数据集，包含来自超过150万台连接设备的2000多亿个时间序列数据点和100亿个实时电力削减指令。这种独特的传感器遥测和工业消耗数据对于工业AI和维护优化供应商具有极高价值，直接面向快速增长的142.9亿美元全球预测性维护市场。其深度和对各种设备的实时操作洞察使其成为开发高级AI模型和优化资产性能的关键资产。
See dimension details ↓- Dataset Specificity86
主导‘物联网数据’，其他行业，4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 Rarity94
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
How current the data stays — real-time/streaming scores highest, periodic dumps lower. - Training Value94
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
人工智能驱动的预测性维护市场严重依赖传感器遥测数据，预计将以39.5%的复合年增长率从2025年的17.7亿美元增长到2032年的192.7亿美元，表明买家需求非常高且快速增长
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 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 Strength74
4种证据类型，4个命中
How solid the proof is that the company holds this data — diversity of evidence types and number of hits. - Right to License28
所有权=混合，许可=GDPR敏感
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 Orientation22
0个数据需求信号（0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 — 超出已货币化范围的专有数据
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 Audit92
✓ 良好目标 — Voltalis 是一个强大的目标，因为它经营着一项真实的业务（能源需求响应），该业务作为副产品产生了大量的专有传感器遥测数据，而这些数据目前尚未商业化。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
IoT / sensor data
这代表了来自超过150万台连接设备的物联网传感器遥测海量集合，累积了超过2000亿个数据点和100亿个电力削减指令，为训练针对各种设备性能和操作响应的预测性维护模型提供了无与伦比的规模。
Industrial data
此证据详细说明了细粒度的能源消耗数据，按供暖和热水等特定用途细分，以货币和能源单位提供，并包含历史和预测消耗数据，为识别效率异常和预测设备故障提供了关键的设备级使用模式洞察。
Geospatial data
此表格数据揭示了不同地区能源成本和消耗模式的显著地理差异，为理解影响设备性能和维护需求的区域因素提供了有价值的背景信息。
Event streams
此实时事件流捕获了数百万种柔性设备类型（包括加热器、空调和电动汽车充电器）的电力消耗削减的主动协调和聚合，为理解各种工业资产如何响应动态控制信号提供了独特的洞察，这对于制定主动维护策略至关重要。
Marketplace
Dataset details
Geographic coverage
Global
Time range
Real-time
Update frequency
Real-time
Delivery
API
Formats
Time Series, JSON
License
One-time license for predictive maintenance and industrial AI use cases. Specific terms to be negotiated.
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, high-volume sensor telemetry dataset from over 1.5 million devices offers unique insights for predictive maintenance. Its value is amplified by the rapidly growing global predictive maintenance market, projected to exceed $98 billion by 2033.
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
Voltalis Sensor Telemetry — a Moderate sensor telemetry dataset (Time Series modality) in the other 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 72.4/100 (confidence 0.56). Recommended action: Data Sharing Agreement.
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