Dataset opportunity
Delongcompany — 工业运营数据集机会
Delongcompany 持有的中等工业运营数据集，可用于工业监控和预测。
Score
66.6
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
56%
Action
数据共享协议
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)
全球智慧农业市场 = 2023 年为 148.6 亿美元，复合年增长率为 15.3%。
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
其他
Volume
中等
Freshness
周期性
Rarity
中等
Accessibility
受限
Legal
公司所有 — 许可权待明确 · PII/受监管
Buyer persona
工业人工智能集成商
Delongcompany 持有宝贵的工业运营数据集，该数据集以时间序列数据的形式进行结构化，来源于其核心业务记录、工业流程以及其谷物、种子和物流部门的交易日志。这些丰富、纵向的数据非常适合工业监控用例，使 AI 买家能够开发用于预测性维护、运营效率优化和供应链分析的复杂模型。
该数据的商业价值在智慧农业市场的增长中得到体现，该市场在 2023 年的估值为148.6 亿美元，预计将以15.3% 的复合年增长率增长。[1] 尽管由于公司传统的家族式结构和数据孤岛，访问需要谨慎的关系管理，但该运营数据的稀缺性和全面性在一个快速扩张、数据驱动的市场中提供了独特的竞争优势。⚠ 尽职调查（有价值的数据，可协商的访问权限）：传统的家族式企业结构可能需要高接触式关系管理；数据可能分散在谷物、种子和物流部门；农艺数据可能涉及与种植者客户的共享所有权。· 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 Delongcompany 拥有专有的时间序列数据，跟踪核心农业变量，包括作物发育和区域天气状况。该数据集是工业人工智能集成商构建预测性监控和运营效率模型的基石。在全球智慧农业市场年增长率超过 15% 的背景下，这些真实世界的运营数据为开发优化产量和管理供应链风险的解决方案提供了独特的优势。
See dimension details ↓- Dataset Specificity62
主导的“工业数据”，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 Rarity46
专有领域数据（开放会降低稀缺性）
How scarce and proprietary the data is. Unique domain data scores high; openly available data lowers it. - Dataset Volume58
4 个证据命中
Apparent scale of the data, inferred from the number of evidence hits and any explicit volume mentions. - Dataset Freshness62
API/开放（当前）
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 Demand92
买家需求极高，这得益于快速增长的智慧农业市场，该市场正以 15.3% 的复合年增长率扩张，因为公司积极寻求运营数据以部署人工智能来提高工业效率。[1]
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility22
开放/API 访问
How legally easy the data is to obtain and use — open/API access scores high; PII or regulated data scores low. - Acquisition Feasibility48
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 Strength74
4 种证据类型，4 次命中
How solid the proof is that the company holds this data — diversity of evidence types and number of hits. - Right to License70
所有权=公司所有，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 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 Audit92
✓ 良好目标 — 一家大型家族式农业物流和服务领导者，其核心业务副产品产生了海量专有运营数据，使其成为理想目标。问题：该公司属于中大型企业，收入可能超过 8 亿美元，员工多达 550 人，这可能会影响参与度。[3, 14]；存在一个名为“DeLong Analytics”的相关实体，但它似乎构建内部工具，而不是将数据或 BI 作为核心产品进行销售。[24]
- Deep Qualification80
✓ 通过 — DeLong 是一个数据持有者，拥有高度连贯的工业运营数据集，该数据集是其广泛农业服务的副产品；然而，由于向种植者提供的农艺服务，数据所有权是混合的，并且其隐私政策中并未明确说明转售的许可权。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Downloads / exports
这些证据包括公司营销和招聘文件，有助于确立公司在农业领域的专业身份。
Industrial data
这是时间序列报告的直接证据，跟踪关键农业变量，代表了构建工业监控和预测分析模型的核心资产。
business_records
这些文件描述了公司从种子到市场的端到端业务周期，为他们的全栈供应链运营提供了重要背景。
Transaction data
这些表格数据展示了与农产品市场的互动，为预测定价和库存水平分析提供了有价值的信号。
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
Delongcompany Industrial Operations — a Moderate industrial operations dataset (Time Series modality) in the other domain. Primary AI use-case: Industrial Monitoring. Market signal: Global Smart Agriculture Market = $14.86B in 2023, CAGR 15.3% (source: Zion Market Research). Investment score 66.6/100 (confidence 0.56). Recommended action: Data Sharing Agreement.
From the marketplace
Explore live data opportunities
Theion — 工业运营数据集机会
View opportunity →工业Rarukautomation — 维护日志数据集商机
View opportunity →工业Robotiq — 知识库数据集机会
View opportunity →