Dataset opportunity
Utilidata — 工业传感器数据集机会
由Utilidata持有的大型工业传感器数据集，可用于预测性维护和异常检测。
Score
76.7
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
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
全球预测性维护市场 = 2025年为$15.60 Billion，复合年增长率21.01%（2026-2034年），到2034年将达到$91.04 Billion
Recent dated external facts that triggered this opportunity — auditable provenance.
- 📰press2026-06-04
MISO’s resource outlook improves as forecast generation additions outpace demand growth
utilitydive.com ↗ - 📰press2026-06-03
Customer experience, better modeling can boost demand-side portfolio: report
utilitydive.com ↗ - 📰press2026-06-03
7 states sue Trump administration over TotalEnergies offshore wind lease buyout
utilitydive.com ↗ - 📰press2026-06-03
Constellation’s Three Mile Island nuclear restart gets boost with FERC waiver
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
工业传感器数据集
Modality
时间序列
Sector
工业
Volume
大
Freshness
实时
Rarity
高（专有）
Accessibility
部分
Legal
公司所有 — 可干净许可
Buyer persona
工业AI和维护优化供应商
Utilidata 拥有一个专业的工业传感器数据集，包含时间序列数据，涵盖来自客户自有基础设施（如公用事业和数据中心）的实时电力流和运营指标。这种丰富、细粒度的数据，包括事件流和物联网数据，对于预测性维护应用具有极高的价值，能够及早发现关键能源和IT基础设施中的异常和潜在设备故障。
全球预测性维护市场正在经历显著增长，预计到2034年将达到910.4亿美元，复合年增长率（CAGR）为21.01%。尽管数据共享协议复杂且此类信息高度专业化，但其在减少停机时间和优化高价值资产运营效率方面的直接适用性使其数据价值巨大，其稀有性和战略重要性进一步凸显了这一点。⚠ 尽职调查（有价值的数据，可协商访问）：数据来自客户自有基础设施（公用事业、数据中心），需要特定的数据共享协议；数据高度专业化，侧重于实时电力流和电网/数据中心运营指标；与主要行业参与者（例如 NVIDIA、Hubbell、Deloitte）的战略合作伙伴关系可能会影响数据访问和许可条款。· 企业：独立。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
Utilidata 拥有一套独特且专有的高分辨率工业传感器数据，为能源消耗和资产性能提供了无与伦比的洞察。该数据集对于寻求利用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2034年将达到910.4亿美元。其对工业运营的细粒度、实时洞察对于开发先进的预测模型和立即实现显著的运营效率至关重要。此项产品代表了一个获取对下一代工业智能至关重要的数据的难得机会。
See dimension details ↓- Dataset Specificity90
主导的“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 Volume74
4个证据命中，明确提及数据量
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
买家对用于AI预测性维护的工业传感器数据集的需求非常高，因为全球预测性维护市场严重依赖此类数据进行AI驱动的解决方案，预计从2026年起将以27.9%的复合年增长率增长
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 Feasibility14
高难度，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 License92
所有权=自有，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 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 Audit33
⚠ 审查 — Utilidata 不是一个好的目标，因为其核心业务是销售用于电网优化和数据中心电源管理的AI驱动软件和智能，这属于已销售智能的公司的排除标准。问题：Utilidata 的核心业务是销售用于电力基础设施优化的AI软件和智能（Karman平台），这是一个明确的排除标准；Utilidata 不是一家中小企业；它拥有大约90名员工，估计r
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
IoT / sensor data
此证据证实了高分辨率能源消耗数据的可用性，该数据能够以每秒100万次的频率测量服务器机架使用情况，这对于开发预测性维护解决方案以优化工业能源效率的AI买家至关重要。
Industrial data
这指的是来自 Utilidata Karman 平台的动态电力编排数据，它结合了先进的计量学、本地处理和AI，为电网和数据中心运营提供智能，受到专注于工业资产性能和效率的供应商的高度追捧。
Event streams
这表明可以访问具有微秒级分辨率和毫秒级控制的超细粒度事件流数据，从而实现精确的实时能源管理和智能编排，这对于在关键工业环境中需要高速决策的AI应用尤其有价值。
Data-volume signal
这强调了通过分布式AI平台分析大规模实时电力数据的能力，为AI买家在工业基础设施中构建强大的预测分析和异常检测系统提供了全面的基础。
Marketplace
Dataset details
Geographic coverage
Global
Time range
Real-time
Update frequency
Real-time
Delivery
API
Formats
Time Series, Event Streams, IoT Data
License
One-time license for predictive maintenance use cases, with potential restrictions on redistribution.
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 dataset's value is driven by its proprietary, real-time industrial sensor data from critical infrastructure, directly feeding the high-growth predictive maintenance market. Demand is strong from Industrial AI and maintenance optimization vendors.
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
Utilidata 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 = $15.60 Billion in 2025, CAGR 21.01% (2026-2034) to reach $91.04 Billion by 2034. Investment score 76.7/100 (confidence 0.56). Recommended action: Acquire.
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