Dataset opportunity
Iceotope — 工业运营数据集机会
由 Iceotope 持有的海量工业运营数据集，可用于工业监控和预测。
Score
77.2
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
74%
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 size (indicative estimate)
全球工业物联网 (IIoT) 市场 = 2023 年为 2120 亿美元，复合年增长率为 13.6%（来源：Precedence Research 的一项分析）
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.
- ✨Signal
拥有超过 200 项已授予和待批的液冷架构专利
source ↗
Profile
Dataset profile
Type
工业运营数据集
Modality
时间序列
Sector
工业
Volume
大
Freshness
实时
Rarity
中等
Accessibility
受限
Legal
混合所有权 — 许可干净 · PII/受监管
Buyer persona
工业人工智能集成商
Iceotope 拥有一份宝贵的工业运营数据集，其中包含其部署在数据中心和边缘位置的专有液冷系统的高频时间序列数据。这些物联网数据提供了关于热管理、能耗和硬件性能的详细遥测数据，可直接用于训练用于工业监控用例的复杂人工智能模型，例如预测性维护和能源优化算法。
该数据服务于工业物联网 (IIoT) 市场，该市场在 2023 年的价值为 2120 亿美元，预计将以 13.6% 的复合年增长率增长。[1] 虽然访问需要与 Iceotope 的 KUL 监控软件集成并明确界定数据所有权，但该数据集的稀有性和真实性为旨在构建强大高效的工业人工智能解决方案的买家提供了显著的竞争优势。⚠ 尽职调查（有价值的数据，可协商的访问权限）：数据主要在第三方数据中心或边缘位置（客户站点）生成；必须区分专有底盘遥测数据与客户拥有的服务器数据的归属；访问可能需要接入其 KUL 监控软件或专有控制系统。· 公司：独立。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
这些证据共同证明 Iceotope 拥有高性能工业计算环境的专有时间序列数据。该数据集详细介绍了先进液冷下GPU和CPU的运行性能，使其成为工业物联网 (IIoT) 市场集成商的稀有资产。该市场预计将以超过 13% 的复合年增长率增长，该数据集直接支持开发复杂的预测性维护和性能优化模型。
See dimension details ↓- Dataset Specificity90
主导的“工业数据”，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 Rarity58
专有领域数据（开放会降低稀有度）
How scarce and proprietary the data is. Unique domain data scores high; openly available data lowers it. - Dataset Volume98
8 个证据命中，明确的数据量提及
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
适用于工业监控
How useful the data is for the target AI use-case — its fit for model training or fine-tuning. - Buyer Demand85
人工智能买家需求旺盛，这得益于价值 2120 亿美元的工业物联网市场（13.6% 的复合年增长率）的强劲增长，该市场需要高质量的真实运营数据来开发预测性维护和效率模型。[1]
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility44
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 Feasibility48
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 Strength100
6 种证据类型，8 次命中
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=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 Orientation39
1 个数据需求信号（1 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 — 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 Audit100
✓ 良好目标 — Iceotope 是一个绝佳的目标，因为它是中小企业，其核心业务是销售专利液冷硬件，而不是数据，其部署系统的运营数据是有价值的、未被利用的副产品。
- Deep Qualification60
✓ 通过 — Iceotope 是硬件供应商，而不是数据销售商；它可能生成有价值的运营数据，但所有权完全不明确，这对收购构成了重大障碍。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Industrial data
这些证据指向来自工业制造环境的专有时间序列数据，非常适合训练用于预测性维护和质量控制的人工智能模型。
Downloads / exports
这指的是白皮书下载产生的表格式潜在客户生成数据，表明该公司与对本地部署人工智能基础设施感兴趣的受众互动。
Knowledge base / docs
这是公司知识库中关于人工智能在相邻行业采用的文本内容，提供了其更广泛的人工智能市场意识的背景。
Medical records / imaging
这段文字出现在一个带有图像内容的页面上，讨论了医疗保健领域的人工智能，表明该公司的营销面向各种高科技垂直领域。
IoT / sensor data
这些证据证实了由该公司专有液冷系统生成的物联网时间序列数据的存在，该系统监控GPU和 CPU 的热性能。
Data-volume signal
这些多模态证据表明数据源自极端、高密度的计算环境，证明了其与监控下一代GPU平台和高功率工业工作负载的相关性。
Marketplace
Dataset details
Geographic coverage
Global
Time range
Real-time
Update frequency
Real-time
Delivery
API
Formats
Time Series
License
One-time license for internal use, AI model training, and industrial monitoring 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 dataset offers high-frequency, real-time time-series data from proprietary liquid cooling systems in industrial environments, crucial for AI-driven industrial monitoring and predictive maintenance. Its value is amplified by the strong growth and significant market size of the IIoT sector.
Detailed schema & sample available on access request.
Want this data?
Request access — we broker a secure deal room. Operator-reviewed, no automatic sharing.
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
Iceotope Industrial Operations — a Large industrial operations dataset (Time Series modality) in the industrial domain. Primary AI use-case: Industrial Monitoring. Market signal: Global Data Center Cooling Market was valued at USD 21.58 Billion in 2024 and is expected to reach USD 76.30 Billion by 2032, growing at a CAGR of 17.1% (source: Data Bridge Market Research). [8]. Investment score 47.5/100 (confidence 0.69). Recommended action: Data Sharing Agreement.
From the marketplace
Explore live data opportunities
Redhawkgroup — 检验报告数据集机会
View opportunity →工业Optimach — 工业传感器数据集机会
View opportunity →出行Rix Freight — 工业运营数据集机会
View opportunity →