Dataset opportunity
Qualitairsea — 工业运营数据集机会
Qualitairsea 持有的中等规模工业运营数据集，可用于工业监控和预测。
Score
75.3
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
58%
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
全球物联网驱动的物流市场 = 2023年48.25亿美元，预计到2033年达到166.39亿美元，复合年增长率13.18% (来源: Spherical Insights)
Recent dated external facts that triggered this opportunity — auditable provenance.
- 📰press2026-06-04
Steel imports down 30% in 2026 as tariffs bolster US production
manufacturingdive.com ↗ - 📰press2026-06-04
Tariff fraud enforcement targets importers over alleged duty evasion
freightwaves.com ↗ - 📰press2026-06-04
Deere recovers $272M in tariff refunds
supplychaindive.com ↗ - 📰press2026-06-03
Trump admin appeals aspects of tariff refund order
supplychaindive.com ↗ - 📰press2026-06-03
US eyes new tariffs for China, EU, Mexico and more after labor probes
supplychaindive.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.
- 🧑💻Hiring a data role
招聘“运营分析师”的职位发布以及商业职位中提及的 CRM 使用情况
source ↗
Profile
Dataset profile
Type
工业运营数据集
Modality
时间序列
Sector
移动出行
Volume
中等
Freshness
实时
Rarity
高（专有）
Accessibility
受限
Legal
公司所有 — 受 GDPR 保护（需进行 PII 审查）
Buyer persona
工业AI集成商
Qualitairsea 拥有丰富的工业运营数据集，主要以时间序列模式呈现，涵盖事件流、工业数据、物联网数据和监管信息。这些细粒度数据非常适合高级工业监控AI 应用，能够实现实时决策，并提高移动出行领域的运营效率，尤其适用于预测性维护。
此类数据市场正在经历显著增长，全球物联网驱动的物流市场预计到 2033 年将达到 166.39 亿美元，复合年增长率（CAGR）为 13.18%。更广泛的工业分析市场，其中预测分析在 2025 年占收入的 47.19%，2025 年价值 36.64 亿美元，预计到 2031 年将增长到 97.38 亿美元，复合年增长率为 16.92%。尽管这些数据价值极高，但由于 Qualitairsea 是 Dimotrans 集团的子公司，需要集团层面的参与，并且可能存在受 GDPR 保护的个人信息，因此访问涉及复杂性。⚠ 尽职调查（有价值的数据，可协商的访问权限）：Dimotrans 集团的子公司，需要集团层面的参与；运营数据可能包含受 GDPR 保护的个人信息（发件人/收件人详细信息）。· 公司：Dimotrans 集团的子公司。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
Qualitairsea 明确拥有专有的时间序列数据，这些数据是从广泛的全球物流和多式联运运营中精心捕获的。这个独特的数据集为供应链可见性、实时货物追踪和运营事件提供了无与伦比的洞察力，直接满足了对高级工业监控解决方案的关键需求。对于工业 AI 集成商而言，这些数据对于开发预测分析和优化模型具有不可估量的价值，能够利用快速扩张的物联网驱动的物流市场，该市场预计到 2033 年将达到 166.39 亿美元。该数据集的高度稀有性以及与现代工业挑战的直接相关性，使其成为一个值得立即评估的引人注目的机会。
See dimension details ↓- Training Value94
适用于工业监控
How useful the data is for the target AI use-case — its fit for model training or fine-tuning. - Dataset Specificity100
主要为“工业数据”，领域为移动出行，4 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 Rarity94
专有领域数据
How scarce and proprietary the data is. Unique domain data scores high; openly available data lowers it. - Dataset Volume64
5 条证据命中
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. - Buyer Demand90
移动出行领域的 AI 市场，严重依赖工业运营数据集进行预测性维护和监控等应用，预计从 2026 年到 2035 年将以 44.6% 的复合年增长率（CAGR）增长，达到
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 Feasibility15
中等难度，Dimotrans 集团的子公司
How realistic it is to actually obtain the data, given access difficulty and the holder's corporate structure. - Evidence Strength77
4 种证据类型，5 条命中
How solid the proof is that the company holds this data — diversity of evidence types and number of hits. - Right to License62
所有权=自有，许可=GDPR 敏感
Whether the company can legally license the data out — based on ownership and licensing complexity. - Corporate Independence50
Dimotrans 集团的子公司
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，5 个近期外部信号 — 超出已变现范围的专有数据
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 — Qualitairsea 是一家国际货运代理和物流公司，其核心服务会产生有价值的运营数据副产品，使其成为休眠数据货币化的良好目标。问题：该公司是更大的 Dimotrans 集团的子公司，这可能会在数据所有权和决策方面引入复杂性；员工人数（201-500 或 366-450）处于中小企业定义的上限。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Industrial data
该证据证实了持有者拥有关于多式联运物流运营的全面数据，涵盖空运、海运、铁路和公路货运，以及运营服务和订单管理，这对于优化复杂物流网络至关重要。
IoT / sensor data
该证据具体表明 Qualitairsea 拥有实时集装箱追踪数据，为海运提供位置、出发和到达的持续更新，这对于增强供应链可见性至关重要。
Regulatory records
尽管此证据是基于文本的，但它证实了 Qualitairsea 在整个物流链和海关运营方面的深厚专业知识，为理解更广泛数据集中的运营合规性和效率提供了有价值的上下文数据。
Event streams
该证据清楚地表明了实时货物事件数据的可用性，包括货物到达和事件监控的精确可见性，这对于主动事件管理和明智决策至关重要。
Marketplace
Dataset details
Geographic coverage
Global
Time range
Real-time
Update frequency
Real-time
Delivery
API
Formats
Time Series, JSON
License
One-time license for industrial monitoring and predictive maintenance use cases within the mobility sector.
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 dataset's high rarity as proprietary industrial operations and time-series IoT data, combined with strong demand in the rapidly growing mobility and logistics sectors, drives its significant valuation. The real-time freshness and global scope further enhance its market appeal for predictive maintenance and industrial monitoring.
Detailed schema & sample available on access request.
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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
Qualitairsea Industrial Operations — a Moderate industrial operations dataset (Time Series modality) in the mobility domain. Primary AI use-case: Industrial Monitoring. Market signal: Global IoT-powered Logistics Market = USD 48.25 Billion in 2023, projected to reach USD 166.39 Billion by 2033, CAGR 13.18% (source: Spherical Insights). Investment score 75.3/100 (confidence 0.58). Recommended action: Data Sharing Agreement.
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