Dataset opportunity
Tado — 维护日志数据集机会
Tado 持有的中等维护日志数据集，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
49%
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在 2025 年的估值为 134 亿美元，预计在 2026-2035 年期间将以 23.2% 的复合年增长率增长。
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
维护日志数据集
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 — GDPR 敏感（PII 审查）
Buyer persona
工业人工智能与维护优化供应商
Tado 持有其智能恒温器生态系统中广泛的时间序列数据，包括 `iot_data`、`event_streams` 和详细的 `maintenance_logs`。这些数据集捕获了 HVAC 系统的实际运行和故障模式，使其成为开发预测性维护模型的首选资源。
全球预测性维护市场规模巨大，2025 年价值 134 亿美元，预计将以23.2% 的复合年增长率增长。[9] 虽然访问需要处理高 GDPR 敏感性（由于家庭入住模式和数据所有权共享），但这种真实 HVAC 性能数据的稀有性和丰富性在该快速增长的市场中提供了显著的竞争优势。⚠ 尽职调查（有价值的数据，可协商的访问权限）：数据涉及私人家庭气候和入住模式（高 GDPR 敏感性）；所有权与最终用户共享；需要匿名化或特定同意才能二次使用；公司已拥有“能源驾驶舱”和电网平衡产品，表明他们了解数据的价值。· 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 Tado 拥有大规模的专有数据集，详细说明了住宅 HVAC 系统的实际性能和故障。这种独特的时间序列数据集合，包括特定的错误代码和性能日志，直接支持了预测性维护算法的开发。对于工业人工智能和维护优化供应商而言，该数据集是一个难得的机会，可以训练能够预测设备故障的模型，这是在全球市场年增长率超过 23% 的情况下至关重要的能力。
See dimension details ↓- Dataset Specificity74
主要的“维护日志”，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 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 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，这得益于预测性维护市场的快速扩张，预计复合年增长率为 23.2%。[9]
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility20
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 Feasibility14
高难度，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 License28
所有权=混合，许可=gdpr_敏感
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
⚠ 审查 — Tado 的核心业务是销售硬件和基于订阅的人工智能软件服务，提供节能智能，这使其成为一个糟糕的目标，因为它已经将智能作为产品出售。问题：公司核心业务是销售智能/人工智能软件，这是明确的排除标准；业务模式围绕着为优化能源消耗的人工智能驱动功能（AI Assist）付费订阅；公司已从硬件销售商发展成为“家庭能源平台”，销售“供暖和制冷即服务”；收集的数据不是“休眠”的，而是他们收费的人工智能/分析服务的主要燃料。
- Deep Qualification90
✓ 通过 — Tado 是一家数据持有者，销售智能供暖硬件和基于订阅的软件功能。底层物联网数据是副产品，而非核心产品。由于 GDPR 和用户生成数据，所有权是混合的，虽然没有发现明确的转售限制，但数据高度敏感。“维护日志”标签与其预测性维护功能一致。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
IoT / sensor data
该公司从数百万台连接设备捕获室内环境条件和供暖活动的实时时间序列数据，为 HVAC 性能模型提供关键背景。
Maintenance logs
该数据集包含来自超过 20,000 台联网供暖系统的直接性能数据和错误代码，提供了对训练预测故障算法至关重要的真实日志。
Event streams
Tado 聚合了将住宅能源需求与天气和动态定价等外部变量相关联的数据流，这是能源优化和电网管理解决方案的有价值的输入。
Marketplace
Dataset details
Detailed schema & sample available on access request.
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Coverage
Scanned sources
Deliverable
Premium dataset report
Tado Maintenance Logs — a Moderate maintenance logs dataset (Time Series modality) in the other domain. Primary AI use-case: Predictive Maintenance. Market signal: Global Predictive Maintenance market was valued at USD 13.4 billion in 2025, projected to grow at a 23.2% CAGR (2026-2035). [9]. Investment score 47.5/100 (confidence 0.49). Recommended action: Data Sharing Agreement.
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