Dataset opportunity
Agurotech — 传感器遥测数据集机会
Agurotech 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
70.4
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
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预计将从 2026 年的 171.1 亿美元增长到 2034 年的 973.7 亿美元，复合年增长率为 24.30%。
Recent dated external facts that triggered this opportunity — auditable provenance.
- 📰press2026-08-02
Research suggests nutrients in milk depend on label and calendar
agriland.ie ↗ - 📰press2026-08-01
FFA Tribute: McKenna Rockow
farmprogress.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.
- 📝Published article
专注于实时田间数据以进行预测性种植决策
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
Agurotech 持有的专有传感器遥测数据集，来自部署在其客户农田中的硬件网络。该数据集的时间序列模式，包括 `iot_data`、`geo_data` 和 `event_streams`，专门用于开发和训练预测性维护算法，以预测设备故障。
该数据极具价值，因为全球预测性维护市场预计到 2034 年将达到973.7 亿美元，复合年增长率为 24.30%。[1] 尽管存在数据所有权共享和需要法律审查等访问复杂性，但对于这种高增长用例而言，聚合的真实世界传感器数据的稀缺性为 Agurotech 的核心业务之外提供了显著且尚未开发的盈利机会。[1] ⚠ 尽职调查（有价值的数据，可协商的访问权限）：数据生成于客户田地，意味着共享所有权或使用权限制；主要业务是硬件/SaaS，意味着数据货币化以用于人工智能可能是次要的、未开发的收入流；聚合的传感器网络数据需要对第三方许可的服务条款进行特定法律审查。· 公司：独立。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
这些证据证明 Agurotech 持有的专有数据集包含与特定农田直接相关的实时传感器遥测数据以及经过验证的业务成果，例如作物产量提高了 37%。这种物联网数据和已标记结果的独特组合，对于寻求构建和验证预测性维护和资源优化模型的工业人工智能供应商来说，是一项强大的资产。在预计将超过 970 亿美元的预测性维护市场中，该数据集提供了开发高价值优化算法所需的地面实况，以服务于快速数字化的农业领域。
See dimension details ↓- Dataset Specificity74
主导的 'iot_data'，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 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 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 Demand90
人工智能买家需求极高，这得益于市场以 24.30% 的复合年增长率快速扩张，因为公司积极寻求真实世界的物联网传感器数据来构建和验证预测模型。[1]
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 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 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，2 个近期外部信号 — 超出已货币化部分的专有数据
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 Audit100
✓ 良好目标 — Agurotech 是一个完美的目标，因为它向农民销售传感器硬件和软件订阅以供其自行使用，从而产生了有价值的专有传感器数据集作为副产品，而它目前并未出售。问题：公司条款明确规定 Agurotech 保留系统生成的所有传感器数据的所有权，这是一个强烈的积极信号
- Deep Qualification90
⚠ 需要审查 — Agurotech 是一家工具供应商，销售用于农业优化的硬件和 SaaS 订阅。虽然它拥有传感器生成的数据，但其条款明确限制转售，并且数据的性质（土壤、天气）不符合假设的“预测性维护”用例。[许可受限；实体不持有该细分市场的特征数据：该公司的（土壤、天气）数据用于农业优化（灌溉），而不是用于工业设备的预测性维护，因为该细分市场暗示的那样。]
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Schema / data dictionary
这些证据包括客户评价，提供了数据集在现实世界应用及其对作物质量的积极影响的定性验证。
IoT / sensor data
这些证据详细说明了捕获的具体参数，包括土壤湿度、温度和太阳辐射，证实了数据集包含丰富、多变量的时间序列遥测数据。
Geospatial data
这些证据证实传感器数据与特定的物理位置（“田地”、“地块”）相关联，提供了训练位置感知型农业模型所需的关键地理空间上下文。
Event streams
这些证据表明数据集包含量化的业务成果，例如记录的产量提高 37%，提供了训练监督机器学习模型所需的关键已标记数据。
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
Agurotech Sensor Telemetry — a Moderate sensor telemetry dataset (Time Series modality) in the other domain. Primary AI use-case: Predictive Maintenance. Market signal: Global Predictive Maintenance Market to reach $97.37 billion by 2034, from $17.11 billion in 2026, exhibiting a CAGR of 24.30% (source: Fortune Business Insights). [1]. Investment score 70.4/100 (confidence 0.56). Recommended action: Acquire.
From the marketplace
Explore live data opportunities
Bladeroom — 维护日志数据集机会
View opportunity →移动Sparqle — Mobility Event Dataset Opportunity
View opportunity →工业Quintasenergy — 维护日志数据集机会
View opportunity →