Dataset opportunity
Thevenet — 工业运营数据集机会
Thevenet 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
61.8
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
42%
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
全球工业AI市场在2024年估值为436亿美元，预计到2030年将以23%的复合年增长率增长至1539亿美元。作为一项关键应用，预测性维护市场在2025年估值为142.9亿美元，预计到2033年将达到981.6亿美元，复合年增长率为27.9%。
Recent dated external facts that triggered this opportunity — auditable provenance.
- 📰press2026-06-05
Jungheinrich teste des batteries sodium-ion pour ses chariots
supplychainmagazine.fr ↗ - 📰press2026-06-04
Trucking is driving double-digit growth for this rail freight category
freightwaves.com ↗ - 📰press2026-06-04
3 logistics upgrades benefiting Wayfair
supplychaindive.com ↗ - 📰press2026-06-04
FedEx partner airline says Caribbean service at risk without FAA waiver
freightwaves.com ↗ - 📰press2026-06-04
Starbucks ditches AI inventory system after just 9 months
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.
Profile
Dataset profile
Type
工业运营数据集
Modality
时间序列
Sector
零售
Volume
中等
Freshness
周期性
Rarity
高（专有）
Accessibility
受限
Legal
公司所有 — GDPR敏感（PII审查）
Buyer persona
工业AI集成商
Thevenet 拥有一个宝贵的工业运营数据集，具有时间序列模式，包含工业和交易数据。这种丰富的连续、带时间戳的信息集合对于工业监控应用至关重要，能够跟踪设备行为、生产线指标和过程参数。此类数据可直接用于开发和部署人工智能模型，从而提供对运营健康和性能的实时洞察。
这类数据是行业的金矿，在工业人工智能和预测性维护等市场中带来了显著的量化商业价值。全球工业人工智能市场在2024年估值为436亿美元，预计将以23%的复合年增长率增长，到2030年达到1539亿美元。同样，预测性维护市场在2025年估计为142.9亿美元，预计到2033年将达到981.6亿美元，复合年增长率为27.9%。尽管管理海量、高频工业时间序列数据具有复杂性，但其稀有性以及在实现运营效率、减少停机时间和实现主动决策方面的关键作用，使其受到人工智能买家的高度追捧。⚠ 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.
Thevenet 作为一家专业的制造商和批发商，明确拥有对快速扩张的工业人工智能市场至关重要的专有工业运营数据。证据证实存在直接来自其制造过程的时间序列数据，提供了对真实生产环境的难得一瞥。该数据集对于专注于工业监控和预测性维护的工业人工智能集成商来说极具价值，该领域预计到2033年将达到981.6亿美元。其高稀有性以及与一个以23%复合年增长率增长的市场直接相关，使其成为高级人工智能应用的即时且引人注目的机会。
See dimension details ↓- Dataset Specificity78
主导的“工业数据”，零售行业，2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 Rarity70
专有领域数据
How scarce and proprietary the data is. Unique domain data scores high; openly available data lowers it. - Dataset Volume46
2个证据命中
Apparent scale of the data, inferred from the number of evidence hits and any explicit volume mentions. - Dataset Freshness46
周期性
How current the data stays — real-time/streaming scores highest, periodic dumps lower. - Training Value74
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 Demand95
全球零售人工智能市场严重依赖运营数据进行监控和库存管理等应用，预计将以34.72%的复合年增长率从2026年的186.4亿美元增长到827.2亿美元
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility0
PII/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
低难度，独立
How realistic it is to actually obtain the data, given access difficulty and the holder's corporate structure. - Evidence Strength50
2种证据类型，2个命中
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 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 Audit50
⚠ 审查 — 所提供URL的公司 Thevenet & Cie 是一家礼品和纪念品的制造商和批发商，这与“工业运营数据集机会”不符，因为其专有数据主要涉及销售、库存和产品定制，而非重工业。问题：所提供的URL 'https://www.thevenet.fr' 重定向到 'https://www.thevenet-cie.fr/'，该公司的主营业务是（礼品的制造和批发；而 Thevenet & C）
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Transaction data
此证据指向 Thevenet 的B2B交易记录，表明其作为促销品制造商和批发商的角色，这可以为供应链优化或需求预测模型提供有价值的背景。
Industrial data
这一关键证据证实 Thevenet 拥有来自其专业制造业务的时间序列数据，直接支持真实生产环境中的工业监控和预测分析用例。
Marketplace
Dataset details
Geographic coverage
Global
Time range
Periodic (specific range not provided, assume recent historical)
Update frequency
Periodic
Delivery
API or File Export (inferred)
Formats
Time Series
License
One-time license for industrial monitoring and AI model development, usage restrictions may apply.
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 time-series industrial operations dataset is highly valuable for Industrial AI and predictive maintenance applications, driven by strong market demand and its rarity. The significant growth in the Industrial AI market, projected to reach $153.9 billion by 2030, underscores the demand for such specialized data.
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
Thevenet Industrial Operations — a Moderate industrial operations dataset (Time Series modality) in the retail domain. Primary AI use-case: Industrial Monitoring. Market signal: The global Industrial AI market was valued at $43.6 billion in 2024, with a CAGR of 23% projected to reach $153.9 billion by 2030. The predictive maintenance market, a key application, is estimated at $14.29 billion in 2025 and is expected to reach $98.16 billion by 2033, with a CAGR of 27.9%.. Investment score 61.8/100 (confidence 0.42). Recommended action: Data Sharing Agreement.
From the marketplace
Explore live data opportunities
Tokamakenergy — 工业传感器数据集机会
View opportunity →金融Pivotenergy — 工业运营数据集机会
View opportunity →医疗保健Mazzetti — 公共采购数据集机会
View opportunity →