Dataset opportunity
Pina — 传感器遥测数据集机会
Pina 持有的中等规模传感器遥测数据集，可用于预测性维护和异常检测。
Score
47.5
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)
全球精准林业市场在 2024 年的估值为 63.2 亿美元，预计到 2032 年将达到 129.7 亿美元，复合年增长率为 9.40%。
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.
- 🧑💻Hiring a data role
招聘数据科学家和遥感专家
source ↗
Profile
Dataset profile
Type
传感器遥测数据集
Modality
时间序列
Sector
其他
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
Pina 持有一个重要的传感器遥测数据集，该数据集由物联网设备的时间序列数据组成，包括 LiDAR 扫描和地理参考信息。这些精细的数据记录了森林资产随时间的动态状态，非常适合用于训练预测性维护模型，以预测疾病爆发、虫害或火灾风险等事件。[3, 13, 18]
该数据服务于精准林业市场，该市场在 2024 年的价值为 63.2 亿美元，预计到 2032 年将达到 129.7 亿美元，复合年增长率为 9.40%。[8] 虽然访问涉及与森林所有者共享数据所有权以及LiDAR和数字孪生格式的技术复杂性，但该数据在优化森林健康和碳信用认证方面的稀缺性和高价值为人工智能买家提供了一个引人注目的机会。[21] ⚠ 尽职调查（有价值的数据，可协商的访问权限）：数据所有权可能与森林所有者（Waldbesitzende）共享；LiDAR 和数字孪生格式的技术复杂性；与碳信用认证标准相关的监管合规性 · 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 Pina 拥有一个专有数据集，该数据集由遥感和人工智能生成，用于创建欧洲森林中单棵树木的数字孪生。这些高稀缺性数据对于开发预测性维护和维护优化解决方案的工业人工智能供应商至关重要，以应对快速增长的精准林业市场，该市场预计到 2032 年将近乎翻倍至 129.7 亿美元。收购此数据集可在训练模型以高精度监控和管理大规模自然资产方面提供独特的竞争优势。
See dimension details ↓- Dataset Specificity62
主导的 'iot_data'，行业其他，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 Volume68
3 条证据，明确提及数据量
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 Demand80
人工智能买家需求强劲，这得益于精准林业市场的显著增长，该市场正以 9.40% 的复合年增长率扩张。[8]
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 条命中
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 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 Audit58
⚠ 审查 — 该公司的核心业务是向企业销售情报（人工智能量化的碳信用和仪表板），因此不适合，因为它已经是数据/情报销售商。问题：公司核心产品是销售情报（二氧化碳证书、仪表板），而不是其他业务的副产品；该公司的商业模式是成为市场/赋能者，这明确排除了 ICP；Pina Earth 使用数据和人工智能来量化、认证和销售碳信用作为其主要产品。
- Deep Qualification80
✓ 通过 — Pina Earth 出售二氧化碳证书，而非数据。用于创建森林“数字孪生”以进行认证的底层传感器和遥测数据是休眠的副产品。数据访问复杂，因为它源自第三方拥有的森林，这意味着所有权共享和可能的用法限制。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Geospatial data
Pina 生成详细的表格数据，以构建单棵树木的数字孪生，提供工业优化和模拟平台所需的资产级粒度。
IoT / sensor data
该公司利用遥感和人工智能来创建核心时间序列数据，这是训练预测性维护模型以预测森林健康和自动化认证的关键燃料。
Data-volume signal
该数据集涵盖了欧洲核心市场（如德国、奥地利和瑞士）的重要森林资产，为针对利润丰厚的欧洲精准林业部门的模型提供了大规模、地理多样化的训练集。
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
Pina Sensor Telemetry — a Moderate sensor telemetry dataset (Time Series modality) in the other domain. Primary AI use-case: Predictive Maintenance. Market signal: Global Precision Forestry market was valued at USD 6.32 billion in 2024, projected to reach USD 12.97 billion by 2032, CAGR 9.40% (source: Data Bridge Market Research). [8]. Investment score 47.5/100 (confidence 0.49). Recommended action: Acquire.
From the marketplace
Explore live data opportunities
Cretschmar — 工业运营数据集机会
View opportunity →工业Astromachineworks — 工业运营数据集机会
View opportunity →工业Armstrong Group — 工业运营数据集机会
View opportunity →