Dataset opportunity
Matmonde — 工业运营数据集机会
Matmonde 持有的大型工业运营数据集，可用于工业监控和预测。
Score
76.7
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
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**工业AI市场**在**2024年**达到**436亿美元**，预计到**2030年**将以**23%的复合年增长率**增长，达到**1539亿美元**。**预测性维护市场**作为一项核心应用，在**2025年**估计为**142.9亿美元**，预计到**2033年**将达到**981.6亿美元**，从2026年到2033年以**27.9%的复合年增长率**增长。
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
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 ↗ - 📰press2026-06-03
Trump further tweaks steel, aluminum, copper tariffs
medtechdive.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
工业
Volume
大
Freshness
定期
Rarity
高（专有）
Accessibility
部分
Legal
公司所有 — 可干净授权
Buyer persona
工业AI集成商
Matmonde 拥有一个专业的工业运营数据集，具有时间序列模式，包含大量的数据量、地理数据、工业数据和采购记录。这种丰富、细粒度的数据特别适用于工业监控应用，能够为设备健康、流程优化和供应链可见性提供高级分析。
这类数据对于推动AI驱动的预测性维护和提高运营效率至关重要，这些都是快速扩张的工业AI市场的关键组成部分。尽管收集和整合如此多样化的工业数据具有固有的复杂性，但其量化的商业价值巨大，通过减少停机时间和改进决策，可提供显著的投资回报率 (ROI)。⚠ 尽职调查（有价值的数据，可协商访问）：企业：独立。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
该 Matmonde 数据集展示了专有且稀有度高的工业运营数据集合，主要以时间序列格式呈现，为制造和质量控制提供了深入洞察。它进一步详细说明了复杂的国际采购流程以及遍布亚洲和东欧的广泛地理采购网络。对于工业AI集成商而言，这些数据对于开发先进的工业监控和预测性维护解决方案具有极高的价值，直接满足了一个预计到2030年将显著增长至超过1500亿美元的市场。
See dimension details ↓- Dataset Specificity90
主导“工业数据”，工业领域，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 Volume80
5个证据命中，明确提及数据量
Apparent scale of the data, inferred from the number of evidence hits and any explicit volume mentions. - Dataset Freshness46
定期
How current the data stays — real-time/streaming scores highest, periodic dumps lower. - Training Value84
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
全球制造业人工智能市场预计将从2025年到2030年以46.5%的复合年增长率（CAGR）增长，这表明对工业运营数据的需求非常高且快速增长，以支持监控等AI应用。
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility50
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 Feasibility44
难度低，独立
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个命中
How solid the proof is that the company holds this data — diversity of evidence types and number of hits. - Right to License92
所有权=自有，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 — Matmonde 是一家法国国际贸易和工业采购公司，其核心业务副产品产生有价值的运营数据，使其成为数据市场的有力候选。问题：虽然指标表明 Matmonde 是一家中小企业，但未找到明确的员工人数或收入数据来明确确认其规模；一个关于“Matmond”（不带“e”）的搜索结果提到了不同的行业（办公机械）和成立日期，这可能...
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Industrial data
此证据证实了时间序列数据的可用性，详细说明了工业部件的制造过程和质量控制，这对于专注于运营效率和异常检测的AI模型至关重要。
Procurement / tenders
这份文本数据概述了 Matmonde 的国际采购策略，涵盖供应商选择、谈判和质量保证，为供应链优化AI解决方案提供了洞察。
Geospatial data
这份表格数据描绘了 Matmonde 在亚洲和东欧主要地区的全球采购网络，为供应链韧性和物流AI应用提供了有价值的背景信息。
Data-volume signal
这份多模态数据量化了 Matmonde 每年1500吨的巨大年度进口量，突显了其工业数据的运营规模和实际相关性。
Marketplace
Dataset details
Geographic coverage
Asia, Eastern Europe
Time range
Periodic (specific range not provided)
Update frequency
Periodic
Delivery
API, CSV export
Formats
Time Series, Geo data, Industrial data, Procurement records
License
One-time license for industrial monitoring and AI applications, with potential restrictions on redistribution.
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, proprietary nature, and large volume of granular industrial operations and procurement data, combined with strong demand from the rapidly growing Industrial AI and predictive maintenance markets, justify 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
Matmonde Industrial Operations — a Large industrial operations dataset (Time Series modality) in the industrial domain. Primary AI use-case: Industrial Monitoring. Market signal: The global **Industrial AI market** reached **$43.6 billion in 2024** and is projected to grow at a **CAGR of 23% until 2030**, reaching **$153.9 billion**. The **predictive maintenance market**, a core application, was estimated at **USD 14.29 billion in 2025** and is projected to reach **USD 98.16 billion by 2033**, growing at a **CAGR of 27.9%** from 2026 to 2033.. Investment score 76.7/100 (confidence 0.58). Recommended action: Acquire.
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