Dataset opportunity
Kraftblock — 工业传感器数据集机会
由 Kraftblock 持有的中等工业传感器数据集，可用于预测性维护和异常检测。
Score
66.4
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
49%
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 size (indicative estimate)
全球预测性维护市场 = 2026 年为 171.1 亿美元，复合年增长率 24.30%。
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
中等
Freshness
实时
Rarity
高（专有）
Accessibility
受限
Legal
混合所有权 — 需明确许可权
Buyer persona
工业人工智能与维护优化供应商
Kraftblock 拥有来自其部署在主要工业合作伙伴（包括 PepsiCo 和 ArcelorMittal）现场的热电池系统的宝贵工业传感器数据集。这些时间序列数据从专有物联网传感器网络中提取，捕获了对开发和验证高保真预测性维护算法至关重要的真实运营指标，这些算法旨在预测设备故障并优化工业流程。
全球预测性维护市场是一个重要且快速扩张的领域，预计到 2026 年市场规模将达到171.1 亿美元，复合年增长率（CAGR）预计为24.30%。虽然访问此数据需要进行谈判，因为存在共同所有权和从嵌入式系统中提取数据的需求，但其稀有性以及与高价值工业应用的直接相关性使其成为寻求在此高增长市场中获得竞争优势的 AI 买家的引人注目的资产。⚠ 尽职调查（有价值的数据，可协商的访问权限）：数据在客户工业现场（例如 PepsiCo、ArcelorMittal）生成；特定流程的数据所有权可能与工业合作伙伴共享；需要从嵌入热电池的专有物联网传感器网络中提取 · 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 Kraftblock 拥有其高端耐用热存储系统产生的专有、长期工业传感器数据集。该数据源自经过 40 年等效生命周期测试的资产，为建模资产退化提供了异常稀有的信号。对于开发针对钢铁、化工和造纸行业的预测性维护解决方案的 AI 供应商来说，这是一项关键资产，该市场正迅速增长，预计到 2026 年将达到 171.1 亿美元。
See dimension details ↓- Dataset Specificity78
主导的 'iot_data'，行业工业，2 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 Rarity70
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/流式传输
How current the data stays — real-time/streaming scores highest, periodic dumps lower. - Training Value74
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
AI 买家需求极高，这得益于**预测性维护**市场的快速增长，该市场正以**24.30% 的复合年增长率**扩张。
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility28
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 Strength62
3 种证据类型，3 次命中
How solid the proof is that the company holds this data — diversity of evidence types and number of hits. - Right to License36
所有权=混合，许可=权利不明确
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 数据胃口信号（0 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 — Kraftblock 是一个理想的目标，因为它为工业客户制造和安装物理高温存储系统，产生有价值的运营传感器数据作为副产品，而目前不将其作为核心服务出售。问题：该公司正在为其系统开发一个“数字孪生”，这可能导致未来销售数据/智能产品，从而使其成为竞争对手
- Deep Qualification80
✓ 通过 — Kraftblock 出售和运营高温热存储系统，使其成为有价值的工业传感器数据的持有者。这些数据是其核心业务的副产品，并被积极用于开发用于运营优化和新服务模型的数字孪生。[7, 11, 18] 数据所有权可能是混合的，因为系统安装在合作伙伴站点（例如 PepsiCo），有时由第三方（例如 Eneco）运营，这给数据权利带来了复杂性，而数据权利仍不明确。[11, 15]
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
IoT / sensor data
这证实了直接从集成系统传感器收集实时时间序列数据，为 AI 供应商提供了训练系统行为和充电状态模型所需的真实情况。
Industrial data
这证实了数据源自经过极端寿命测试（超过 40 年）的工业资产，为建模长期资产退化和组件生命周期提供了稀有信号。
business_records
这些记录证明了数据集源自多元化的高价值工业领域，包括钢铁和化工，证实了其与针对这些市场的维护优化供应商的直接相关性。
Marketplace
Dataset details
Detailed schema & sample available on access request.
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Coverage
Scanned sources
Deliverable
Premium dataset report
Kraftblock 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 = $17.11 billion in 2026, CAGR 24.30% (source: Fortune Business Insights). Investment score 66.4/100 (confidence 0.49). Recommended action: Acquire.
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