Dataset opportunity
B Automated — 工业传感器数据集机会
由 B Automated 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
70.2
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
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 = 2024 年为 123 亿美元，复合年增长率为 29.7%（来源：Custom Market Insights）。[6]
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
受限
Legal
混合所有权 — 许可权待明确
Buyer persona
工业人工智能与维护优化供应商
B Automated 拥有一份宝贵的工业传感器数据集，其中包含来自实时生产环境的时间序列数据。该数据集包括来自各种机械的详细 `event_streams`、`industrial_data` 和 `iot_data`，是训练和验证旨在预测设备故障的预测性维护算法的理想来源。
此数据的商业价值直接与蓬勃发展的预测性维护市场挂钩，该市场估计在 2024 年为123 亿美元，预计复合年增长率为 29.7%。[6] 虽然访问需要处理与工业客户共享数据所有权以及与各种 PLC/SCADA 系统进行接口，但这种复杂性也限制了对稀有资产的访问。该数据集的核心价值在于其聚合的机器性能基准和专有自动化逻辑，提供了其他地方无法获得的独特的跨客户视图。⚠ 尽职调查（有价值的数据，可协商的访问权限）：数据所有权可能与拥有物理生产线的工业客户共享；专有价值在于不同项目中聚合的机器性能基准和自动化逻辑；技术访问需要与各种 PLC 和 SCADA 系统（Siemens、Beckhoff 等）进行接口。· 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 B Automated 拥有一系列专有且多样化的工业时间序列数据，这些数据直接来自核心制造和自动化系统。该数据集对于开发预测性维护解决方案的工业人工智能供应商至关重要，该市场在 2024 年的价值超过 120 亿美元，并且正在快速增长。数据源自PLC、SCADA 和专用机器软件，提供了训练能够预测设备故障和优化运营的复杂模型所需的高保真传感器和事件日志。
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 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
人工智能买家需求异常高，这得益于预测性维护市场的快速扩张，该市场正以**29.7% 的复合年增长率**增长（来源）。[6]
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 Orientation56
2 个数据胃口信号（2 种类型）
How actively the company invests in data, measured by its data-appetite signals (hires, products, APIs…). - Dormant Data Surplus70
盈余=中等，4 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.
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
press
- “<figure><div><img src="https://imgproxy.divecdn.com/yISvwmLAPsJFjcFhd2cqZmp2PSWm_JlygtGIvWQtsTM/g:ce/rs:fill:1600:900:1/Z3M6Ly9kaXZlc2l0ZS1zdG9yYWdlL2RpdmVpbWFnZS9HZXR0eUltYWdlcy0yMTk3MjI2OTgzLmpwZw==.webp" /></div></figure><p>The EPA accused the chemical giant of releasing forever chemicals into rivers near the company’s facilities in North Carolina, New Jersey and West Virginia. In some instances, without the required permits.</p>”
- “<figure><div><img src="https://imgproxy.divecdn.com/ef4csWvX_M7OJnYXUDSvnUy5o84H6AFxrdLE5SqdAQM/g:ce/rs:fill:1600:900:1/Z3M6Ly9kaXZlc2l0ZS1zdG9yYWdlL2RpdmVpbWFnZS9hcnRib2FyZF8xXzI2MzkwXzBwcmV2aWV3bGFyZ2UucG5n.webp" /></div></figure><p>The deal will combine Modular’s AI software with Qualcomm’s semiconductors, provide access to additional data centers and make AI system deployment more efficient, Qualcomm said.</p>”
- “<figure><div><img src="https://imgproxy.divecdn.com/BLGUl8p1-nv7V6mpSyipLHIi46b7Ma3Qu3GIESQr1ME/g:ce/rs:fill:1600:900:1/Z3M6Ly9kaXZlc2l0ZS1zdG9yYWdlL2RpdmVpbWFnZS9BQ0VfUHJvZ3JhbV9JbWFnZS5qcGc=.webp" /></div></figure><p>The Manufacturing USA institute aims to establish the ACE and METAL initiatives at 53 universities, colleges and trade schools by 2030, with funding from the agency’s Office of Industrial Base Policy.</p>”
IoT / sensor data
持有者直接从集成的PLC系统和机器人生成高频传感器和性能数据，提供建模组件磨损和故障所需的精细、真实世界的信号。
Industrial data
这证明了拥有来自各种行业的专用机器软件和过程控制系统的数据，这些数据对于构建健壮且可泛化的 AI 维护模型非常宝贵。
Event streams
该公司捕获来自 HMI 和 SCADA 系统的历史操作事件日志，提供了监督机器学习和异常检测所需的关键上下文和真实标签。
Marketplace
Dataset details
Geographic coverage
Global
Time range
Real-time
Update frequency
Real-time
Delivery
API
Formats
Time Series
License
One-time license for use in training and validating predictive maintenance algorithms. Shared data ownership with industrial clients requires careful navigation.
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 proprietary industrial sensor time-series dataset is highly valuable for predictive maintenance, a rapidly growing market. Its rarity and direct generation from core manufacturing systems drive its premium valuation.
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
B Automated 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 = $12.3 Billion in 2024, CAGR 29.7% (source: Custom Market Insights). [6]. Investment score 70.2/100 (confidence 0.49). Recommended action: Acquire.
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