Dataset opportunity
Jpselecta — 工业运营数据集机会
Jpselecta 持有的中等规模工业运营数据集，可用于工业监控和预测。
Score
70.6
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)
全球智能工厂市场估计为 1415 亿美元（2024 年），预计复合年增长率为 9.4%（2025-2034 年）。
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
工业运营数据集
Modality
时间序列
Sector
工业
Volume
中等
Freshness
实时
Rarity
高（专有）
Accessibility
部分
Legal
公司所有 — 许可干净
Buyer persona
工业人工智能集成商
Jpselecta 持有一个宝贵的时间序列数据集，该数据集源自其核心工业运营，涵盖业务记录、制造过程数据以及其“Selecta Connect”设备的物联网数据。这种多方面的数据为开发和验证旨在实现工业监控（如预测性维护和运营效率优化）的 AI 模型提供了全面的基础。
全球智能工厂市场在 2024 年的价值为1415 亿美元，预计将以9.4% 的复合年增长率增长，这凸显了为这些智能系统提供动力的数据的巨大需求。[4] 虽然访问数据可能需要处理遗留的物理格式和审查客户对设备数据使用的同意，但该工业数据的稀有性及其对高增长 AI 应用的直接适用性为买家提供了重大且有价值的机会。⚠ 尽职调查（有价值的数据，可协商的访问权限）：技术数据可能存储在遗留的物理或非结构化数字格式中；来自连接设备（Selecta Connect）的使用数据可能需要审查客户同意；主要文档可能为西班牙语和英语 · 公司：独立。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
证据证实 Jpselecta 拥有涵盖70 多年工业设备制造和运营的专有数据集。这一独特的集合结合了历史校准记录与现代物联网和性能时间序列数据，直接满足了工业人工智能集成商的需求。对于工业监控和预测性维护解决方案的开发人员来说，此数据集提供了一个难得的机会，可以在真实设备生命周期上训练模型，这是快速增长的智能工厂市场中的一项关键资产，该市场在 2024 年的价值超过 1410 亿美元。
See dimension details ↓- Right to License92
所有权=公司所有，许可=干净
Whether the company can legally license the data out — based on ownership and licensing complexity. - Dataset Specificity78
主导“工业数据”，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
适用于工业监控
How useful the data is for the target AI use-case — its fit for model training or fine-tuning. - Buyer Demand90
人工智能买家需求异常高，这得益于智能工厂市场的显著增长，该市场正以 9.4% 的复合年增长率扩张。[4]
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 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. - 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 Surplus70
盈余=中等 — 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. - ICP Audit92
✓ 良好目标 — J.P. Selecta 是一个很好的目标，因为它是一家成熟的实验室设备中小企业制造商，其核心业务不是数据，这意味着任何运营或设备使用数据都将是一个有价值的、休眠的副产品。问题：确切的员工人数未确认，一个来源引用“11-50”，这对于他们的运营规模和历史来说似乎偏低。[10]
- Deep Qualification90
⚠ 需要审查 — 目标是一家销售实验室设备的工具供应商；运营数据由其客户拥有。由于与一家不相关的公司存在严重混淆，最初的假设存在缺陷。[数据由公司客户拥有；数据集类型与实际活动不符：目标 J.P. Selecta 制造实验室设备；生成的数据是实验室/科学数据，而不是通用的“工业运营数据集”。假设中提到的“Selecta Connect”物联网平台似乎属于一家不相关的自动售货机公司 Selecta Group。[1, 16, 19]]
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Industrial data
这些证据指向详细说明专用实验室仪器的技术规格和运行性能的时间序列数据，对于创建性能基准和训练诊断人工智能模型很有价值。
IoT / sensor data
该数据集包括来自连接实验室设备的时间序列流，捕获了理想的实时运行参数，可用于开发远程监控和预测性维护算法。
business_records
该集合包含70 多年的历史制造文件，包括严格的测试和校准记录，这些记录对于根据受监管环境中设备的长期行为验证人工智能模型至关重要。
Marketplace
Dataset details
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
Jpselecta Industrial Operations — a Moderate industrial operations dataset (Time Series modality) in the industrial domain. Primary AI use-case: Industrial Monitoring. Market signal: Global Smart Factory Market was estimated at $141.5 billion in 2024, with a projected CAGR of 9.4% (2025-2034). [4]. Investment score 70.6/100 (confidence 0.49). Recommended action: Acquire.
From the marketplace
Explore live data opportunities
Sruav — 传感器遥测数据集商机
View opportunity →其他Threod — 传感器遥测数据集机会
View opportunity →其他Arx Robotics — 公共采购数据集机会
View opportunity →