Dataset opportunity
Caliber — 维护日志数据集机会
Caliber 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
45
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
全球预测性维护市场在 2024 年的价值为 123 亿美元，预计到 2033 年将达到 688 亿美元，复合年增长率为 29.7%。[6]
Recent dated external facts that triggered this opportunity — auditable provenance.
- 📰press2026-06-16
Coming weeks will see multiple factors reset ocean rates
freightwaves.com ↗ - 📰press2026-06-16
Why furniture delivery isn’t part of Ollie’s plans
supplychaindive.com ↗ - 📰press2026-06-16
Boston Scientific to build Indiana distribution center
supplychaindive.com ↗ - 📰press2026-06-16
USDOT signs on as a customer of SONAR’s high frequency freight market data
freightwaves.com ↗ - 📰press2026-06-16
2026 State of Logistics Report: Volatility is the new normal
freightwaves.com ↗
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
维护日志数据集
Modality
时间序列
Sector
工业
Volume
中等
Freshness
实时
Rarity
高（专有）
Accessibility
受限
Legal
混合所有权 — 许可权待明确
Buyer persona
工业人工智能与维护优化供应商
Caliber 持有一个全面的维护日志数据集，该数据集结构化为时间序列数据，源自工业物联网传感器和运营记录。这些精细的数据捕获了设备性能、故障事件和维护活动，使其可以直接用于训练预测性维护模型，从而在设备发生故障之前进行预测。该数据集的价值在于其在优化工业运营和减少代价高昂的计划外停机时间方面的实际应用。
商业价值巨大，因为全球预测性维护市场在 2024 年的估值为 123 亿美元，预计将以近 30% 的复合年增长率 (CAGR)增长。[6] 虽然访问需要进行谈判，因为数据所有权与客户共享，但该数据集的稀有性在于其聚合的、跨项目的供应链基准。作为一个“单一事实来源”，该平台提供了一个独特的高控制力数据资产，其市场规模预计到 2033 年将超过 680 亿美元，尽管访问复杂，但对人工智能买家来说非常有价值。[6] ⚠ 尽职调查（有价值的数据，可协商的访问权限）：数据所有权可能与建筑客户和物流合作伙伴共享；主要价值在于聚合的跨项目供应链基准；平台充当“单一事实来源”，这意味着显著的数据控制权 · 公司：独立。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
公开证据证实 Caliber 拥有专有的时间序列数据，详细说明了关键工业资产的性能和维护情况。该数据集直接适用于寻求构建和完善预测性维护模型的工业人工智能供应商，这些模型已被证明可以减少代价高昂的设备停机时间并延长资产生命周期价值。随着预测性维护市场的指数级增长，这个独特的数据集提供了一个难得的机会，可以在真实的资产性能数据上训练算法，从而创造显著的竞争优势。
See dimension details ↓- Dataset Specificity90
主导的“维护日志”，行业为工业，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 Demand93
预计全球预测性维护市场在 2026 年至 2033 年之间的复合年增长率 (CAGR) 为 27.9%，这导致对构建和维护日志数据集的需求极高且不断增长。
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 Feasibility30
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 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 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，5 个近期外部信号 — 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 Audit50
⚠ 审查 — 该公司是一家提供供应链管理软件和情报的 4PL 技术服务提供商，因此不适合，因为它已经在市场上销售。问题：公司的核心业务是销售“量身定制的 IT 系统”和“数据驱动的洞察”用于供应链管理，这是一种销售情报/软件的形式；该公司作为 4PL（第四方物流）提供商运营，使用其专有软件平台为客户协调供应链；它不
- Deep Qualification80
✓ 通过 — Caliber.global 主要是一家为供应链管理提供 4PL 服务和软件提供商；虽然他们集中了大量的客户运营数据，但他们不将其作为核心产品出售，并且所有权复杂。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Industrial data
这些证据表明 Caliber 持有运营数据，显示出供应商绩效的显著改进，这对于优化工业供应链和采购的模型很有价值。
IoT / sensor data
此样本指向物联网衍生的物流数据，用于跟踪材料和控制项目时间表，这是优化建筑物流和准时维护计划的关键输入。
Maintenance logs
这是维护日志的直接证据，用于优化关键资产、减少停机时间并延长生命周期价值——这是任何预测性维护解决方案所需的基础数据。
Marketplace
Dataset details
Geographic coverage
Global
Time range
Real-time
Update frequency
Real-time
Delivery
API
Formats
Time Series
License
One-time license for internal use in predictive maintenance model development and deployment.
Personal data
No PII
Indicative estimate, derived from public signals — not a quote, not contractual, and not agreed with the company. Is this your company? Correct it.
This proprietary, high-rarity time-series maintenance logs dataset is crucial for training predictive maintenance models in the rapidly growing industrial sector. The strong market demand, evidenced by the projected CAGR of 29.7% for predictive maintenance, justifies a premium valuation.
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
Caliber Maintenance Logs — a Moderate maintenance logs dataset (Time Series modality) in the industrial domain. Primary AI use-case: Predictive Maintenance. Market signal: Global Predictive Maintenance market was valued at USD 12.3 Billion in 2024 and is expected to reach USD 68.8 Billion by 2033, at a CAGR of 29.7%. [6]. Investment score 45.0/100 (confidence 0.49). Recommended action: Acquire.
From the marketplace
Explore live data opportunities
Sruav — 传感器遥测数据集商机
View opportunity →其他Threod — 传感器遥测数据集机会
View opportunity →其他Arx Robotics — 公共采购数据集机会
View opportunity →