Dataset opportunity
Eletrabus — 维护日志数据集机会
Eletrabus 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
69.9
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
合作（集团层面）
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 136.5 亿美元，复合年增长率为 24.30%。
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
出行
Volume
中等
Freshness
实时
Rarity
高（专有）
Accessibility
受限
Legal
公司所有 — 许可权待澄清
Buyer persona
工业人工智能与维护优化供应商
Eletrabus 持有一个宝贵的时间序列数据集，其中包含其电动巴士和改装系统的车队的维护日志和物联网数据。这些细粒度的真实工业数据经过结构化处理，可直接用于训练预测性维护算法，使 AI 买家能够预测组件故障、优化维护计划并减少电动汽车车队的运营停机时间。
商业价值锚定在全球预测性维护市场，该市场在 2025 年的估值为136.5 亿美元，预计将以 24.30% 的复合年增长率增长。[1] 尽管存在数据共享所有权或需要集团层面批准等访问复杂性，但这种专业电动出行数据的稀有性，加上市场的高增长，使其成为寻求竞争优势的 AI 开发者的战略资产。⚠ 尽职调查（有价值的数据，可协商的访问权限）：数据所有权可能与市政交通部门或私人车队运营商共享；遥测访问取决于电动巴士或电动改装系统的具体集成级别；区域交通联合会的子公司，需要集团层面批准 · 公司：Grupo ABC (Setti & Braga) 的子公司。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
这些证据共同证明 Eletrabus 拥有独特的高稀有度数据集，详细说明了 1,000 多辆电动巴士的实际运行情况。这些专有数据是开发预测性维护解决方案的工业人工智能供应商的关键资产，该市场预计到 2025 年将达到 136.5 亿美元。该数据集结合了物联网性能、电池健康状况和比较分析，提供了训练模型所需的真实情况，以优化车队正常运行时间并降低快速增长的电动出行领域的运营成本。
See dimension details ↓- Dataset Specificity90
主导的“维护日志”，出行行业，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
由于预测性维护市场（复合年增长率 24.30%）的快速增长，AI 买家需求很高，该市场严重依赖专业的工业时间序列数据来训练有效的模型。[1]
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility28
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 Feasibility15
中等难度，Grupo ABC (Setti & Braga) 的子公司
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 License70
所有权=公司所有，许可=权利不明确
Whether the company can legally license the data out — based on ownership and licensing complexity. - Corporate Independence50
Grupo ABC (Setti & Braga) 的子公司
Whether the holder can decide alone — an independent company scores higher than a subsidiary of a large group. - Data Orientation22
0 数据需求信号（0 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 Audit92
✓ 良好目标 — Eletrabus 是一家巴西电动巴士和驱动系统制造商，也进行维护和改装，使其运营和维护日志成为有价值的、未被充分利用的数据资产。问题：无法确定确切的员工人数以确认中小企业身份，尽管在一个平台上提到了 88 名员工。[9]；该公司的网站 (eletrabus.com.br) 似乎已关闭或无法访问，需要依赖第三方来源。[2, 4, 5, 7]
- Deep Qualification60
⚠ 需要审查 — Eletrabus 是一家巴西电动巴士制造商，而不是运营商。虽然其车辆可能为预测性维护产生有价值的物联网和维护数据，但这些数据由其客户（例如市政交通部门）生成并为其客户使用，这使得所有权和转售权成为主要障碍。[数据归公司客户所有]
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
IoT / sensor data
该数据集包括来自 1,000 多辆电动巴士车队的实时物联网性能数据，提供速度、位置和能源使用情况的原始信号，这些信号对于模拟运营压力模式至关重要。
Industrial data
这些证据证实可以访问关于电池健康状况（SOH）的专有工业数据，包括放电循环和温度等关键指标，这是预测电动汽车组件故障最抢手的信息。
Maintenance logs
该数据集包含独特的比较分析，将电动改装与传统燃油车辆的性能进行对比，为量化企业客户的总拥有成本和维护优势提供了有力工具。
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
Eletrabus Maintenance Logs — a Moderate maintenance logs dataset (Time Series modality) in the mobility domain. Primary AI use-case: Predictive Maintenance. Market signal: Global Predictive Maintenance market = $13.65B in 2025, CAGR 24.30% (source: Fortune Business Insights). Investment score 69.9/100 (confidence 0.49). Recommended action: Partnership (group-level).
From the marketplace
Explore live data opportunities
Powercor — 维护日志数据集机会
View opportunity →医疗保健Smartct — 可下载数据资产机会
View opportunity →工业Dubordrefrigeration — 维护日志数据集机会
View opportunity →