Dataset opportunity
Fretlink — 工业运营数据集机会
Fretlink 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
74.4
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
56%
Action
获取
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
全球工业物联网市场在2025年达到5143.9亿美元，复合年增长率 (CAGR) 为16.8% (2026-2035)。物流大数据市场作为关键细分市场，在2025年价值63.0亿美元，预计到2036年将达到536.6亿美元，复合年增长率 (CAGR) 为21.50% (2026-2036)。
Recent dated external facts that triggered this opportunity — auditable provenance.
- 📰press2026-06-03
Old Dominion’s May update shows an improving LTL market
freightwaves.com ↗ - 📰press2026-06-03
Manufacturing’s recovery broadens as industrial demand leads the freight upcycle
freightwaves.com ↗ - 📰press2026-06-03
FreightWaves Today Debuts as Spot Rates Hit a Record
freightwaves.com ↗ - 📰press2026-06-01
US manufacturing expands to highest level since May 2022: PMI
supplychaindive.com ↗ - 📰press2026-06-01
US manufacturing expands to highest level since May 2022: PMI
manufacturingdive.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.
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
混合所有权 — 易于许可 · 个人身份信息/受监管
Buyer persona
工业AI集成商
Fretlink 拥有来自移动出行领域的丰富工业运营数据集，包含时间序列数据，如事件流、地理数据、工业数据和交易数据。这种细粒度、实时信息非常适合高级工业监控应用，能够实现物流和运输运营中的预测性维护、运营优化和数据驱动决策。
尽管数据访问存在固有的复杂性，例如需要严格的数据治理和匿名化来聚合来自多个客户和运营商的数据，以及由于与客户管理系统集成而需要数据共享协议，但这些数据仍然极其有价值且稀有。此类数据的量化商业价值巨大，全球工业物联网市场预计将达到可观的市场规模并展现强劲的复合年增长率 (CAGR)，这凸显了AI 买家对能够提高工业流程效率和降低成本的洞察力的巨大需求。⚠ 尽职调查（有价值的数据，可协商访问）：数据聚合自多个客户和运营商，外部使用需要谨慎的数据治理和匿名化；与客户管理系统集成意味着需要数据共享协议。· 企业性质：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 Fretlink 拥有一个专有且稀有度高的工业运营和物流事件数据集，直接从其平台捕获。这种丰富、时间序列和表格数据与寻求构建高级工业监控解决方案的工业AI集成商直接相关。随着全球工业物联网市场预计到2025年达到5143.9亿美元，以及物流大数据以21.50%的复合年增长率增长，该数据集为优化复杂供应链提供了关键的现实视角，使其现在具有极高的价值。
See dimension details ↓- Dataset Specificity100
主导的“工业数据”，移动出行领域，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 Volume58
4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
How current the data stays — real-time/streaming scores highest, periodic dumps lower. - 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. - Buyer Demand92
全球AI训练数据集市场（包括工业自动化和移动出行数据）预计在2026年至2035年间以24.16%的复合年增长率 (CAGR) 增长，到2035年达到524.1亿美元。
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility16
个人身份信息/受监管
How legally easy the data is to obtain and use — open/API access scores high; PII or regulated data scores low. - Acquisition Feasibility0
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 Strength74
4种证据类型，4个命中
How solid the proof is that the company holds this data — diversity of evidence types and number of hits. - Right to License58
所有权=混合，许可=干净
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个数据需求信号（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，5个近期外部信号 — 超出已货币化范围的专有数据
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 — Fretlink 作为一个货运市场运营着真实的业务，作为副产品生成有价值的专有数据，以优化其对托运人和承运人的服务，并且似乎不将其数据或衍生智能作为其核心产品出售。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Industrial data
此证据证实 Fretlink 集中了整个运输链的时间序列数据，从托运人需求到运力和计划，为物流优化和预测分析提供了关键的细粒度洞察。
Geospatial data
这表明 Fretlink 捕获了与运输计划实施和执行相关的表格地理数据，这对于路线优化、资产跟踪和提高供应链效率至关重要。
Event streams
这证实 Fretlink 生成了涵盖货运匹配、负载利用和运营跟踪的实时事件流，为物流中的实时监控和异常检测提供了动态视图。
Transaction data
此证据显示 Fretlink 基于佣金模式记录表格交易数据，提供了一个商业层面，将运营活动直接与财务成果和业务绩效联系起来。
Marketplace
Dataset details
Geographic coverage
Global
Time range
Real-time
Update frequency
Real-time
Delivery
API
Formats
JSON, CSV
License
One-time license for industrial monitoring and operational optimization use cases. Data governance and anonymization required.
Personal data
Contains 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 value is driven by its high rarity, proprietary nature, and real-time industrial operations data within the high-growth mobility sector. Strong market demand from Industrial IoT and Big Data in Logistics segments supports a premium valuation.
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
Fretlink Industrial Operations — a Moderate industrial operations dataset (Time Series modality) in the mobility domain. Primary AI use-case: Industrial Monitoring. Market signal: Global Industrial IoT market = USD 514.39 billion in 2025, CAGR 16.8% (2026-2035). The Big Data in Logistics market, a key segment, was valued at USD 6.30 billion in 2025 and is projected to reach USD 53.66 billion by 2036, with a CAGR of 21.50% (2026-2036).. Investment score 74.4/100 (confidence 0.56). Recommended action: Acquire.
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