Dataset opportunity
Isaac — 移动遥测数据集机会
由 Isaac 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
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)
全球车辆预测性维护市场在 2026 年的价值为 33 亿美元，预计到 2033 年的复合年增长率为 20.5%。
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
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
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
ISAAC 拥有一个重要的移动遥测数据集，结构为来自商用车的时间序列数据。此集合包括详细的 `event_streams`、来自车辆传感器的广泛 `iot_data` 以及上下文 `image_collection`，为开发和训练旨在预测组件故障和优化车辆正常运行时间的预测性维护人工智能模型提供了丰富的基础。
全球车辆预测性维护市场截至 2026 年的价值约为33 亿美元，预计将以惊人的20.5% 的复合年增长率增长。[1] 虽然访问此数据需要处理与车队客户共享所有权以及获得其母公司 Vontier 的公司法律批准，但提供聚合、匿名遥测的能力使其成为一项稀有且极具价值的资产。鉴于到 2033 年市场将迅速扩展至 123 亿美元，[1] 这种复杂性是合理的。⚠ 尽职调查（有价值的数据，可协商的访问权限）：数据所有权与车队客户共享；ISAAC 作为处理者，但聚合匿名遥测数据；Vontier 的子公司（纽约证券交易所代码：VNT），需要公司层面的法律批准才能进行数据许可；包含个人身份信息 (PII) 和驾驶员行为数据，需要严格去识别化才能进行人工智能训练。· 公司：Vontier Corporation 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 Isaac 拥有来自数千辆联网商用卡车的专有高频遥测数据集。该数据包括详细的发动机性能指标、同步的视频以及标记的关键事件，对于工业人工智能供应商来说是一项稀有资产。它直接支持开发先进的预测性维护模型，以抓住快速增长的全球车辆预测性维护市场份额，该市场预计到 2026 年将达到 33 亿美元。
See dimension details ↓- 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. - 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
人工智能买家需求异常高，这得益于市场的快速扩张和强劲的 20.5% 复合年增长率，因为公司迫切需要高质量的数据来构建解决方案以应对这个 33 亿美元的市场。[1]
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 Feasibility0
高难度，Vontier Corporation 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 个命中
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 Independence50
Vontier Corporation 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 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 Audit75
⚠ 审查 — 该公司的核心业务是销售包含分析和人工智能驱动洞察的车队管理解决方案，这将其归类为销售情报，因此不适合。问题：该公司的核心产品是车队管理平台，包括硬件（遥测）和软件（分析、人工智能指导、商业智能）。[9, 10, 18]；该公司明确将其产品宣传为将数据转化为有意义的指标并做出明智决策的方式。[3, 7, 19]；他们最近推出了“ISAAC Analytics”，一项商业智能 (BI) 功能，进一步巩固了其作为情报/分析供应商的地位。[19]；该公司的价值主张不是静态数据，而是提供情报给客户的活跃、受管理的解决方案。[10, 18]
- Deep Qualification80
✓ 通过 — ISAAC 是一个数据持有者，拥有高度一致的遥测数据集。数据所有权与客户共享，虽然没有发现明确的限制，但许可需要处理客户权限和其母公司 Vontier 的公司批准。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
IoT / sensor data
这是一个高频时间序列数据集，以 40Hz 的频率捕获详细的车辆和发动机性能指标，这对于训练预测性维护中使用的超高精度模型至关重要。
Image collection
这是一个与遥测同步的面向道路和面向驾驶员的视频集合，提供了关键的视觉上下文，用于验证和丰富基于事件的分析，以用于维护和安全模型。
Event streams
这是一个标记的关键事件流，例如急刹车，它提供了高价值的、预先分类的数据，用于训练模型识别导致组件故障的操作应力。
Marketplace
Dataset details
Detailed schema & sample available on access request.
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Coverage
Scanned sources
Deliverable
Premium dataset report
Isaac Mobility Telemetry — a Moderate mobility telemetry dataset (Time Series modality) in the mobility domain. Primary AI use-case: Predictive Maintenance. Market signal: Global vehicle predictive maintenance market is valued at US$ 3.3 billion in 2026, with a projected CAGR of 20.5% through 2033 (source: QY Research). [1]. Investment score 48.0/100 (confidence 0.49). Recommended action: Data Sharing Agreement.
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