Dataset opportunity
Althensensors — 工业传感器数据集机会
Althensensors 持有的海量工业传感器数据集，可用于预测性维护和异常检测。
Score
78.1
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
67%
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 size (indicative estimate)
全球预测性维护市场在 2025 年已达 92.1 亿美元，预计复合年增长率为 26.19%（来源：Precedence Research）。[1]
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
混合所有权 — 清晰可许可
Buyer persona
工业人工智能与维护优化供应商
Althensensors 拥有一个全面的工业传感器数据集，非常适合预测性维护应用。该数据集由丰富的时间序列数据组成，包括事件流、工业数据、物联网数据、知识库和详细的维护日志。这种组合能够开发复杂的机器学习模型，通过将实时运行数据与历史维护事件和性能基准相关联，准确预测设备故障。
此类数据的商业价值在其目标市场的快速增长中得到体现，该市场在 2025 年的价值为92.1 亿美元，预计将以26.19% 的复合年增长率扩张。[1] 虽然访问需要应对复杂性，例如客户对实时物联网数据的拥有权以及专有历史数据，但该数据集固有的稀有性和已证实的效用使其成为一项非常有价值的资产。需要与集团管理层协调许可，这反映了该数据在蓬勃发展的市场中的战略重要性。⚠ 尽职调查（有价值的数据，可协商的访问权限）：实时物联网数据通常归客户所有，但 Althen 管理基础设施；历史校准和传感器性能数据是专有的，存储在其内部实验室；需要与 Althen 集团管理层协调跨境数据许可 · 公司：Althen 集团子公司。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
这些证据共同证明 Althensensors 拥有一个专有的、稀有度高的数据集，包含工业时间序列数据，该数据直接将传感器读数与已标记的设备故障联系起来。这包括来自真实运行环境的高频振动、温度和流量测量。对于开发预测性维护解决方案的供应商来说，这些数据是训练和验证人工智能模型的关键资产，在预计每年增长超过 26% 的市场中代表着显著的竞争优势。该数据集的优势在于其原始传感器信号和明确的故障检测日志的结合，提供了构建准确故障预测算法所需的地面实况。
See dimension details ↓- Dataset Specificity100
主导的'物联网数据'，工业领域，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 Volume76
7 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 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 Demand92
人工智能买家对这种**工业传感器数据集**的需求异常高，这得益于**预测性维护**市场强劲的预期**26.19% 的复合年增长率**。[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 Feasibility15
中等难度，Althen 集团子公司
How realistic it is to actually obtain the data, given access difficulty and the holder's corporate structure. - Evidence Strength92
5 种证据类型，7 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=清晰
Whether the company can legally license the data out — based on ownership and licensing complexity. - Corporate Independence50
Althen 集团子公司
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 Audit83
✓ 良好目标 — Althen Sensors 是一个良好的目标，因为它设计和制造定制传感器解决方案，可能作为副产品产生有价值的内部测试和校准数据，而不是将其数据或情报作为核心业务进行销售。问题：该公司的核心业务是销售硬件（传感器）和定制工程解决方案，而不是经营以数据为副产品产生数据的业务。专有；虽然他们提到了'工业物联网传感器解决方案'，但他们的重点似乎是
- Deep Qualification90
⚠ 需要审查 — Althensensors 是传感器解决方案和服务提供商，而不是数据销售商；它拥有作为其核心活动副产品的、看似合理的工业时间序列数据集。数据所有权是混合的（客户/专有），许可似乎受到限制，需要与其母公司协调[许可受限]
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
IoT / sensor data
持有者拥有来自物联网设备的高密度时间序列数据，包括旋转设备的三角振动和表面温度，这是训练预测性维护模型的关键原始输入。
Industrial data
凭借 75 年的历史，该数据集得到了严格的内部校准记录和记录的性能规范的支持，确保了人工智能模型训练的高质量、一致性和历史深度。
Knowledge base / docs
该数据集包括结构化文本和文档，详细说明了传感器设置和工艺要求，提供了关键的上下文，能够实现更复杂的功能工程和模型准确性。
Event streams
证据证实了从完整的系统收集可靠的实时数据，例如化学应力工业管道中的流量测量，证明了数据源自真实、具有挑战性的运行环境。
Maintenance logs
该数据集包含明确的故障检测数据，可识别诸如不平衡、不对齐和轴承故障等特定问题，提供了监督机器学习所需的关键已标记结果。
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 internal use in predictive maintenance model development and deployment.
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 high rarity, proprietary nature, and direct link between sensor data and equipment faults, crucial for the rapidly growing predictive maintenance market.
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
Althensensors 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 accounted for $9.21 billion in 2025, projected to grow at a CAGR of 26.19% (source: Precedence Research). [1]. Investment score 78.1/100 (confidence 0.67). Recommended action: Partnership (group-level).
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