Dataset opportunity
Agrisem — 维护日志数据集机会
Agrisem 持有的中等维护日志数据集，可用于预测性维护和异常检测。
Score
66.3
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
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规模在 2025 年的估值为 136.5 亿美元，预计到 2034 年将增长到 973.7 亿美元，复合年增长率为 24.30%。
Recent dated external facts that triggered this opportunity — auditable provenance.
- 📰press2026-10-14
Smart drilling with sensors: Agrisem Chief measures in the seed furrow
futurefarming.com ↗
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.
- 🤝Data partnership
与电子控制系统供应商合作进行智能播种
source ↗
Profile
Dataset profile
Type
维护日志数据集
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 — 许可权待澄清
Buyer persona
工业人工智能与维护优化供应商
Agrisem 持有一个宝贵的时间序列数据集，其中包含其 ISOBUS 连接的农业设备生成的维护日志。这些工业 iot_data 提供了设备性能、运行压力和组件故障事件的详细、真实的记录，非常适合开发和训练复杂的预测性维护算法。
全球预测性维护市场正在经历爆炸式增长，预计到 2034 年市场规模将达到 973.7 亿美元，其驱动因素是惊人的 CAGR 24.30%。尽管存在数据访问复杂性，例如与最终用户共享数据所有权以及在其母公司 Unia 内部进行多层利益相关者参与，但该数据集固有的稀缺性和直接适用性使其成为一项战略资产。它为旨在进入这个快速扩张市场的 AI 买家提供了显著的竞争优势。⚠ 尽职调查（有价值的数据，可协商的访问权限）：通过 ISOBUS 连接的农业设备生成的数据；田间数据的所有权可能与最终用户农民共享；波兰 Unia 集团的子公司，需要多层利益相关者参与 · 公司：Unia 集团的子公司。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
证据证实 Agrisem 拥有独特、专有的数据集，详细记录了其先进农业机械的完整运行生命周期，从实时传感器读数到组件故障。这些数据直接服务于高需求的预测性维护用例，适用于寻求构建和验证模型的工业 AI 供应商。在一个预计到 2034 年将达到 973.7 亿美元的市场中，这些机器性能和磨损数据的集合代表了一个获得竞争优势的难得机会。
See dimension details ↓- Dataset Specificity74
主导的“维护日志”，行业其他，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 Demand85
AI 买家需求旺盛，这得益于快速增长的全球预测性维护市场，预计该市场将以 24.30% 的复合年增长率扩张。
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 Feasibility15
中等难度，Unia 集团子公司
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 Independence50
Unia 集团子公司
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，1 个近期外部信号 — 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 Audit75
✓ 良好目标 — Agrisem 是一家法国农业机械制造商，其核心业务是销售实体设备，但他们最近与拜耳 FieldView 的合作以及使用 Precision Planting 传感器收集田间数据表明他们正朝着销售智能服务迈进，这使得他们成为一个时间敏感但目前合适的目标。问题：该公司与拜耳 FieldView 平台有合作，旨在改善农民的数据连接和收获，这可能意味着他们已经；他们的“MyAgrisem”在线平台和用于配置播种机的“SeedXConnect”应用程序表明他们正朝着数字服务迈进，这些服务可能已经捆绑；他们的一些先进播种机使用传感器来测量土壤湿度和温度以调整播种深度，这表明他们正在收集有价值的操作数据。
- Deep Qualification90
⚠ 需要审查 — Agrisem 是一家农业设备制造商，而不是数据持有者。其 ISOBUS 兼容工具生成的数据归最终用户（农民）所有，因此 Agrisem 在法律上无法转售。[数据归公司客户所有；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
该数据集包括通过 ISOBUS 标准捕获的田间设备的实时 传感器数据，提供了训练时间序列 AI 模型所需的高频运行信号。
Industrial data
Agrisem 持有大量历史记录，将机器性能与作物产量等结果联系起来，涵盖了各种气候条件，使模型能够根据运行背景和影响优化维护计划。
Maintenance logs
数据包含详细记录耕作部件在记录的机械应力下的磨损的特定日志，提供了训练准确预测算法所需的关键地面真实故障事件。
Marketplace
Dataset details
Detailed schema & sample available on access request.
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Coverage
Scanned sources
Deliverable
Premium dataset report
Agrisem Maintenance Logs — a Moderate maintenance logs dataset (Time Series modality) in the other domain. Primary AI use-case: Predictive Maintenance. Market signal: Global predictive maintenance market size was valued at USD 13.65 billion in 2025 and is projected to grow to USD 97.37 billion by 2034, exhibiting a CAGR of 24.30% (source: Fortune Business Insights).. Investment score 66.3/100 (confidence 0.49). Recommended action: Partnership (group-level).
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