Dataset opportunity
Livingpackets — 移动遥测数据集机会
Livingpackets 持有的海量移动遥测数据集，可用于预测性维护和异常检测。
Score
48
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
79%
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)
全球预测性维护市场 = 2025 年为 151.0 亿美元，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.
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
大型
Freshness
实时
Rarity
中等
Accessibility
受限
Legal
混合所有权 — 需明确许可权 · 个人身份信息/受监管
Buyer persona
工业人工智能与维护优化供应商
Livingpackets 持有的由其专有“THE BOX”物联网硬件在活跃客户出货中生成移动遥测数据集。此时间序列数据，以 `iot_data` 和 `event_streams` 为证，捕获冲击、温度和路线等细粒度指标，可直接用于训练预测性维护模型，以预测设备和运输故障。
商业价值巨大，因为全球预测性维护市场在 2025 年的估值为151.0 亿美元，预计将以31.1% 的复合年增长率增长。[11] 虽然访问需要协商，因为数据源自客户出货且公司对其价值高度重视，但其已证明的“法证级”洞察力应用凸显了其稀缺性以及对旨在获得物流竞争优势的买家的战略价值。⚠ 尽职调查（有价值的数据，可协商访问）：数据通过专有物联网硬件（THE BOX）生成，但涉及客户出货；遥测数据（冲击、温度、路线）可能由 LivingPackets 聚合，但具体的货物细节属于客户；公司已将数据用于“法证级”物流洞察，表明其对数据价值有高度认识。· 公司：独立。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
证据表明 Livingpackets 拥有大量专有数据集，涵盖超过2300 万公里的运营出货遥测数据。这种独特的物联网 传感器数据和实时事件流集合直接满足了开发预测性维护解决方案的工业人工智能供应商的核心需求。在年增长率超过 30% 的预测性维护市场中，该数据集提供了训练模型所需的地面实况运营数据，这些模型可以预测并防止物流和高价值运输中代价高昂的故障。
See dimension details ↓- Dataset Specificity90
主导的 'iot_data'，行业为移动，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（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 Volume100
13 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 Demand95
人工智能买家需求异常高，这得益于预测性维护市场爆炸性的 31.1% 复合年增长率预测，该市场从根本上依赖于高质量的真实遥测数据。[11]
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility34
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 Strength100
5 种证据类型，13 个命中
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 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 Audit75
⚠ 审查 — 该公司的核心业务是销售“包装即服务”订阅，其中包括数据和警报，使其成为智能的销售者，而不仅仅是休眠数据的持有者。问题：该公司的商业模式明确为“包装即服务”，客户为使用智能盒子和相关服务支付订阅费。[1, 3；该服务包括一个用于跟踪和接收所有交付警报的界面/应用程序，这构成了销售从数据中提取的智能。[10, 8]；定价页面明确提供了“数据和警报优惠”，并提到为客户构建定制数据解决方案，证实他们将数据产品化。[12]；该公司提供 API 以连接到客户系统（WMS、TMS），进一步表明数据/智能是其产品供应的核心部分。[
- Deep Qualification80
✓ 通过 — Livingpackets 运营着一种“包装即服务”模式，其中遥测数据是副产品，使其成为数据持有者。然而，由于数据源自客户出货，数据所有权是混合的，转售的许可权不明确，需要仔细协商。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Downloads / exports
这些证据包括来自公司已发布行业研究的表格数据，为特征工程提供了有价值的市场背景，说明了运输故障的财务影响。
Event streams
这些是高价值的时间序列数据流，捕获离散的故障事件，如破损和盗窃，提供了训练和验证预测模型所需的关键标签。
IoT / sensor data
这是来自实时出货的连续传感器数据的核心数据集，提供了训练预测性维护算法以预测现实世界设备压力的基本运营数据。
Developer portal
提及内部开发人员和工程师团队，表明了数据系统背后的技术人才，增强了对数据质量和架构完整性的信心。
Claims records
这些是结构化的损失和损坏索赔记录，提供了地面实况财务数据，将传感器遥测直接与有形的业务成果联系起来，用于构建以投资回报率为导向的模型。
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
Livingpackets Mobility Telemetry — a Large mobility telemetry dataset (Time Series modality) in the mobility domain. Primary AI use-case: Predictive Maintenance. Market signal: Global Predictive Maintenance Market = $15.10B in 2025, CAGR 31.1% (source: Market Research Future). [11]. Investment score 48.0/100 (confidence 0.79). Recommended action: Data Sharing Agreement.
From the marketplace
Explore live data opportunities
Smemaine — 检验报告数据集机会
View opportunity →工业Semefab — 法规记录数据集机会
View opportunity →工业Presto Eng — 工业传感器数据集机会
View opportunity →