Dataset opportunity
Keedwellgroup — 移动遥测数据集机会
Keedwellgroup 持有的中等规模移动遥测数据集，可用于预测性维护和异常检测。
Score
72.3
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
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)
全球商用车车队管理市场 = 2025 年为 197.8 亿美元，复合年增长率为 13.4%。
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
移动遥测数据集
Modality
时间序列
Sector
移动
Volume
中等
Freshness
实时
Rarity
高（专有）
Accessibility
部分
Legal
公司所有 — 可授权许可
Buyer persona
工业人工智能与维护优化供应商
Keedwellgroup 持有宝贵的移动遥测数据集，结构为从其车队的工业数据和物联网数据流收集的时间序列数据。这些丰富、连续的数据，包括车辆性能指标、传感器读数和操作日志，直接适用于训练复杂的预测性维护人工智能模型，以预测车辆故障并优化维护计划。
全球商用车车队管理市场在 2025 年的估值为197.8 亿美元，预计到 2035 年将以13.4% 的复合年增长率增长。[3] 虽然访问需要处理驾驶员数据匿名化和客户保密协议，但此类真实运营数据的稀缺性和已证实的商业价值使其成为任何旨在引领预测分析领域的 AI 买家的战略资产。⚠ 尽职调查（有价值的数据，可协商的访问权限）：车队管理数据可能包含需要匿名化的驾驶员可识别信息；路线和交付数据可能受特定客户保密协议的约束；传统的家族企业结构可能需要高层关系管理 · 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 Keedwellgroup 拥有一个大规模的专有移动遥测数据集，该数据集由超过 500 辆汽车和1000 辆拖车的车队生成。这种高稀缺性的数据对于构建预测性维护解决方案的工业人工智能供应商至关重要，以抓住快速增长的 197.8 亿美元商用车队管理市场的份额。访问这些关于车辆性能和运行压力的真实时间序列信号，为开发和验证下一代维护优化算法提供了决定性优势。
See dimension details ↓- Dataset Specificity78
主导的“物联网数据”，移动行业，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 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 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 Demand85
人工智能买家需求旺盛，这得益于商用车队管理市场的显著增长，该市场正以 13.4% 的复合年增长率扩张。[3]
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility50
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 次命中
How solid the proof is that the company holds this data — diversity of evidence types and number of hits. - Right to License92
所有权=公司所有，许可=干净
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 Audit58
✓ 良好目标 — Keedwell Group 是一家大型家族拥有的英国运输和物流公司，其核心业务是实体运输，这使得其大型车队产生的遥测数据成为有价值的、未被利用的副产品。问题：该公司属于一个更大的控股集团（S R Keedwell Holdings），这使得整体规模和复杂性大于简单的中小企业。 [14, 16]；虽然被描述为“大型公司”，但一些来源报告的员工人数（180-450）介于中小企业定义（<250 名员工）的界限之间。[2, 4,；2025 年和 2026 年的财务报告显示，该公司面临显著的利润压力，并已报告税前亏损，这可能会影响其能力或 i
- Deep Qualification90
✓ 通过 — Keedwell Group 是一个典型的数据持有者；一家大型家族拥有的英国运输和物流公司，其核心业务是运输、分销和仓储。其 500 多辆汽车车队的遥测数据是其运营的直接、有价值的副产品，使其成为主要目标。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
IoT / sensor data
该公司运营着一支拥有超过 500 辆汽车和1000 辆拖车的车队，配备了实时跟踪和遥测系统，生成了支持强大预测性维护模型的基础传感器数据。
Industrial data
该数据集包括关于燃油消耗和二氧化碳排放的连续时间序列数据，提供了关键的性能和效率指标，从而提高了维护优化算法的准确性。
business_records
车辆运营通过来自 90 万平方英尺仓库的大量物流吞吐量数据进行情境化，将车辆遥测与实际运营需求（如库存移动和装载周期）联系起来。
Marketplace
Dataset details
Detailed schema & sample available on access request.
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Coverage
Scanned sources
Deliverable
Premium dataset report
Keedwellgroup Mobility Telemetry — a Moderate mobility telemetry dataset (Time Series modality) in the mobility domain. Primary AI use-case: Predictive Maintenance. Market signal: Global Commercial Vehicle Telematics Market = $19.78 Billion in 2025, CAGR 13.4% (source: Commercial Vehicle Telematics Market Summary). Investment score 72.3/100 (confidence 0.49). Recommended action: Acquire.
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