Dataset opportunity
Thefirstmile — 工业传感器数据集机会
Thefirstmile 持有的工业传感器大型数据集,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
65%
Action
许可
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,2025 年价值 151.0 亿美元,预计复合年增长率为 31.1%。
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.
Profile
Dataset profile
Type
工业传感器数据集
Modality
时间序列
Sector
工业
Volume
大型
Freshness
实时
Rarity
中等
Accessibility
部分
Legal
混合所有权 — 许可权待明确
Buyer persona
工业人工智能与维护优化供应商
Thefirstmile 持有一个重要的工业传感器数据集,由其运营系统中的时间序列数据组成。这包括细粒度的industrial_data和iot_data流,以及业务记录和地理数据,为开发和训练工业设备和物流的高保真预测性维护模型提供了丰富、专有的基础。
该数据位于全球预测性维护市场内,该市场在 2025 年的价值为151.0 亿美元,预计将以惊人的 31.1% 的复合年增长率增长。[5] 虽然访问需要协商——因为物流数据需要提取,并且一些细粒度数据的所有权在合同上是共享的——但核心的、未货币化的聚合国家物质流代表了一项稀有且有价值的资产,证明了为重大的市场机会进行尽职调查的合理性。[5] ⚠ 尽职调查(有价值的数据,可协商访问):数据通过“回收数据工作室”部分公开给客户,但聚合的国家物质流仍未货币化;细粒度的废物成分数据的所有权可能在合同上与客户共享;物流和路线优化数据是专有的,但需要从运营系统中提取。· 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 Thefirstmile 拥有其英国范围内的工业回收和废物管理服务产生的独特真实世界运营数据流。该数据集包含来自配备传感器的资产的丰富物联网和时间序列信号,非常适合训练复杂的预测性维护模型。对于工业人工智能供应商而言,这些数据为开发和验证算法提供了直接途径,而该市场预计每年增长 30% 以上,以解决对维护优化和运营效率的迫切需求。
See dimension details ↓- Dataset Specificity90
主导的 'iot_data',工业领域,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 Rarity58
专有领域数据(公开会降低稀有度)
How scarce and proprietary the data is. Unique domain data scores high; openly available data lowers it. - Dataset Volume70
6 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 Demand98
人工智能买家需求异常高,这得益于预测性维护解决方案市场的快速扩张,该市场正以 31.1% 的复合年增长率增长。[5]
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility56
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 Feasibility66
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 Strength89
5 种证据类型,6 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 Orientation22
0 个数据胃口信号(0 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销售废物管理服务,其中包括为其客户提供数据和分析平台,使其成为智能的销售者,而不是休眠数据的持有者。问题:该公司的核心产品是废物管理服务,这是一个良好的运营业务。[3, 9];然而,他们积极地将产生的数据产品化,为客户提供“回收数据和碳报告工作室”,提供废物、碳影响的分析;该平台提供“数据驱动的见解”,是其服务的一项关键功能,这意味着他们已经在销售从其共同拥有的数据中提取的智能;他们的愿景是成为一个“领先的循环资源平台,连接客户、收集网络、处理能力和数据”,这证实了这一点。
- Deep Qualification90
✓ 通过 — 目标是一家数据持有者,其核心业务是废物管理,而不是数据销售。该数据是其物流和处理业务的副产品,与“工业传感器数据集”标签和“工业监控”细分市场高度一致。最近被一家私募股权公司收购以扩展平台,这为数据中心战略转变提供了强有力的触发因素。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
IoT / sensor data
这是由废物管理资产(如智能垃圾箱)上的物联网传感器生成的时间序列数据,提供细粒度的使用和重量测量,对于训练预测性维护算法很有价值。
Downloads / exports
这些表格数据跟踪客户对回收资源的参与度,为客户细分和对特定工业废物流的兴趣提供了代理。
Industrial data
这些证据指向结构化的时间序列数据,详细说明了 50 多个回收流和特定站点的废物收集量,对于构建资源分配和优化模型至关重要。
Geospatial data
这是来自英国范围内的收集车队的物流和地理空间数据,成功率高达 99.96%,对于训练路线优化和车辆维护模型至关重要。
business_records
该数据集包括结构化的合规和碳报告文件,使人工智能模型能够将运营绩效与ESG因素和监管框架相关联。
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
Thefirstmile Industrial Sensor — a Large industrial sensor dataset (Time Series modality) in the industrial domain. Primary AI use-case: Predictive Maintenance. Market signal: Global Predictive Maintenance market valued at $15.10B in 2025, projected to grow at a 31.1% CAGR (source: Market Research Future). [5]. Investment score 47.5/100 (confidence 0.65). Recommended action: License.
From the marketplace
Explore live data opportunities
Green On — 移动遥测数据集机会
View opportunity →移动出行Ctlogistics — 数据目录/市场数据集机会
View opportunity →出行Transaudit — 索赔历史数据集机会
View opportunity →