Dataset opportunity
Swobbee — 移动遥测数据集机会
Swobbee 持有的中等移动遥测数据集，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
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)
全球预测性维护市场 = 2024 年为 106 亿美元，复合年增长率为 35.1%。
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.
- 🧑💻Hiring a data role
招聘专注于系统监控和优化的技术职位
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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 — 许可干净
Buyer persona
工业人工智能与维护优化供应商
Swobbee 持有的移动遥测数据集由其电池更换站网络中的时间序列数据组成。这包括丰富的 `geo_data`、`industrial_data` 和 `iot_data`，详细说明了电池性能、使用模式和硬件健康状况，使其非常适合开发和训练预测性维护算法，以预测设备故障并优化电池生命周期。
该数据的价值体现在蓬勃发展的全球预测性维护市场，预计2024 年市场规模为 106 亿美元，复合年增长率为 35.1%。 [6] 这种高增长需求使该数据集对 AI 买家极具价值。虽然访问受限于物理物联网硬件，并且可能需要处理多品牌电池协议，但该数据的非个人、工业性质简化了 GDPR 合规性，为高价值 AI 应用提供了直接途径，并具有显著的稀缺性。⚠ 注意（有价值的数据，可协商访问）：数据与物理物联网硬件（更换站）相关；多品牌电池数据可能需要检查制造商协议；运营数据主要是工业/技术性的（非 GDPR）· 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 Swobbee 持有一个专有的遥测数据集，该数据集捕获了在实时网络中微移动电池的实际性能和退化情况。对于工业人工智能供应商来说，这是构建和验证先进预测性维护算法所必需的宝贵地面实况数据的稀有来源。在预测性维护解决方案市场（年增长率超过 35%，到 2024 年将达到 106 亿美元）中，这些关于电池健康、使用模式和充电基础设施的独特物联网数据为优化资产寿命和运营效率提供了关键的竞争优势。
See dimension details ↓- 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
人工智能买家需求受预测性维护市场快速增长的驱动，该市场以 35.1% 的复合年增长率扩张，对专业工业物联网数据产生了强烈需求。[6]
How strongly AI builders and companies are likely to want this data, based on market signals. - Dataset Specificity90
占主导地位的 '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 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. - 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 Feasibility44
低难度，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 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 — 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 Audit83
⚠ 审查 — Swobbee 的核心业务是电池即服务，但它包括一个用于车队和电池管理的软件仪表板，使其成为一个情报供应商，而不仅仅是数据持有者。问题：公司核心产品包括用于管理电池群的“软件仪表板和应用程序”。[3]；运营商仪表板提供站点概览、更换数据历史记录和用户管理。[4]；他们的云平台被描述为“端到端电池管理和充电解决方案”，具有“数据分析”功能和各种 API 接口（Grap；这种将情报/分析作为其服务一部分的销售意味着它们不是一个‘休眠数据’机会，并且已经在市场上。
- Deep Qualification90
✓ 通过 — Swobbee 运营一个电池更换即服务网络，使其成为有价值的遥测数据的数据持有者。所有权是混合的，因为一些电池属于私人站点设置中的客户。虽然合同许可看起来干净，但用户位置数据的参与使其对 GDPR 敏感，需要谨慎处理。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
IoT / sensor data
该数据集包含详细说明电池健康状态（SoH）、温度和充电周期的粒度时间序列物联网数据，这对于开发能够预测不同硬件制造商组件故障的预测模型至关重要。
Geospatial data
它包括主要城市中心更换站使用情况的表格地理空间数据，提供了关于需求模式和直接影响资产磨损和维护计划的运营强度的基本背景。
Industrial data
该集合包含关于能源消耗和电网负载的工业时间序列数据，使人工智能模型能够优化整个智能充电基础设施的效率和弹性，而不仅仅是单个资产。
Marketplace
Dataset details
Detailed schema & sample available on access request.
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Coverage
Scanned sources
Deliverable
Premium dataset report
Swobbee Mobility Telemetry — a Moderate mobility telemetry dataset (Time Series modality) in the mobility domain. Primary AI use-case: Predictive Maintenance. Market signal: Global Predictive Maintenance Market = $10.6 billion in 2024, CAGR 35.1% (source: MarketsandMarkets™). Investment score 48.0/100 (confidence 0.49). Recommended action: Acquire.
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