Dataset opportunity
Peakpower — 工业传感器数据集机会
Peakpower 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
71.8
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
49%
Action
合作（集团层面）
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 136.5 亿美元，预计到 2034 年将达到 973.7 亿美元，复合年增长率为 24.30%。[5]
Recent dated external facts that triggered this opportunity — auditable provenance.
- 📰press2026-06-11
Some large Virginia customers face hurdles to using generators for demand response participation
utilitydive.com ↗ - 📰press2026-06-11
Elevate, ArcLight Bring Energy Storage Facility Online in Virginia
powermag.com ↗ - 📰press2026-06-10
Sonoma Clean Power aims for 1,000 no-cost smart thermostats amid VPP push
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
部分
Legal
混合所有权 — 许可清晰
Buyer persona
工业人工智能与维护优化供应商
Peakpower 拥有大量工业传感器数据集，包含时间序列数据，其中包括来自工业和商业房地产资产的 event_streams 和专门的 iot_data。该数据集直接适用于开发先进的预测性维护模型，特别是由于其专注于高度专业化的能源市场和电池遥测数据，这对于预测设备故障和优化能源系统性能至关重要。
预测性维护的全球市场是该数据价值的重要指标，2025 年市场价值为 136.5 亿美元，预计到 2034 年将以 24.30% 的复合年增长率增长至 973.7 亿美元。[5] 尽管由于 Peakpower 于 2024 年被 BGIS 收购以及与商业房地产合作伙伴的共同所有权结构，访问此数据需要进行谈判，但其稀有性和在电池遥测数据方面的专业性代表了一个高价值的机会。这种复杂性凸显了该数据集在人工智能买家市场中的战略重要性和独特地位。⚠ 尽职调查（有价值的数据，可协商访问）：于 2024 年被 BGIS（全球设施管理领导者）收购；数据所有权涉及商业房地产合作伙伴；高度专业化的能源市场和电池遥测数据 · 公司：收购 BGIS。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
这些证据共同证明 Peakpower 拥有专有的、大规模的时间序列数据集，详细说明了工业能源资产的实际性能和退化情况。该数据来源于 1.5 亿瓦时的电池容量和 1300 万平方英尺的房地产，可直接用于预测性维护和资产优化模型的训练。在一个预计到 2034 年将超过 970 亿美元的市场中，这个独特的数据集为寻求提高复杂能源系统故障预测准确性的人工智能供应商提供了显著的竞争优势。
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 Volume52
3 个证据点
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
需求由全球预测性维护市场驱动，该市场预计从 2026 年到 2035 年将以超过 30.5% 的复合年增长率扩张，从而产生了对工业传感器数据以训练人工智能模型的大量需求。[1]
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 Feasibility0
高难度，收购 BGIS
How realistic it is to actually obtain the data, given access difficulty and the holder's corporate structure. - Evidence Strength62
3 种证据类型，3 个点
How solid the proof is that the company holds this data — diversity of evidence types and number of hits. - Right to License58
所有权=混合，许可=清晰
Whether the company can legally license the data out — based on ownership and licensing complexity. - Corporate Independence45
收购 BGIS
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，3 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. - ICP Audit33
⚠ 审查 — PeakPower 的核心业务是销售人工智能驱动的软件和优化服务来管理能源资产，而不是出售其自身运营产生的休眠数据。问题：公司的核心产品是人工智能软件（Synergy Platform）以及作为服务销售的智能/分析。[2, 3, 4, 8]；该公司似乎没有产生副产品数据的主要运营业务；其业务是
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Event streams
这是跟踪虚拟电厂调度和市场事件的时间序列数据，为能源资产承受的经济和运营压力提供了关键背景。
IoT / sensor data
这些证据表明来自 1300 万平方英尺房地产的高频物联网数据，捕获了实时建筑消耗和电网状况，这对于构建情境感知预测模型至关重要。
Industrial data
这证实了对一个 1.5 亿瓦时电池资产组合的关键性能和退化数据的所有权，提供了训练和验证预测性维护算法所需的直接地面实况。
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 asset optimization model development. Usage restrictions may apply.
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, high-quality time-series sensor data from industrial energy assets, directly feeding the rapidly growing predictive maintenance market. The substantial real estate and battery capacity coverage, combined with real-time freshness, positions it as a rare and valuable asset for advanced analytics.
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
Peakpower 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 was valued at USD 13.65 billion in 2025 and is projected to reach USD 97.37 billion by 2034, exhibiting a CAGR of 24.30%. [5]. Investment score 71.8/100 (confidence 0.49). Recommended action: Partnership (group-level).
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