Dataset opportunity
Altris — 工业运营数据集机会
Altris 持有的大型工业运营数据集，可用于工业监控和预测。
Score
74.1
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
61%
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 size (indicative estimate)
全球工业AI市场 = 2024年436亿美元，复合年增长率23% (2024-2030)；预测性维护市场 = 2025年149.3亿美元，复合年增长率32.32% (2026-2035)，到2035年达到2457.3亿美元
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.
- ✨Signal
源自深度技术研发和工业化流程的内在数据生成，对产品开发和性能优化至关重要。
source ↗
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 — 可授权
Buyer persona
工业AI集成商
Altris 拥有一份宝贵的工业运营数据集，主要以时间序列模式呈现，这在其开发者门户、工业数据焦点和监管合规性中得到了体现。这些丰富的工业数据捕获了连续的传感器读数和运营事件，非常适合工业监控应用，能够开发先进的人工智能模型，以实时洞察设备性能和流程健康状况。
此类数据的市场规模巨大，全球工业人工智能市场在2024 年的估值为 436 亿美元，预计到 2030 年将达到 1539 亿美元，复合年增长率为 23%。具体而言，作为关键应用之一的预测性维护市场，预计将从 2025 年的 149.3 亿美元增长到 2035 年的 2457.3 亿美元，复合年增长率为 32.32%。如此巨大的市场规模和快速增长，凸显了这份稀有且关键数据的巨大商业价值，使得就战略知识产权考量和大型企业投资者参与等访问复杂性进行谈判变得非常有价值。⚠ 尽职调查（有价值的数据，可协商访问）：战略知识产权考量；大型企业投资者参与 · 公司：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 Altris 拥有源自其尖端钠离子电池开发和生产设施的专有工业运营数据。这份高稀有度的时间序列数据集独特地定位于服务专注于工业监控和预测性维护解决方案的工业人工智能集成商。随着全球工业人工智能市场预计在 2024 年达到 436 亿美元，预测性维护领域预计到 2035 年将扩展到 2457.3 亿美元，该数据集为在快速增长且具有战略重要性的工业领域开发先进的人工智能应用提供了关键优势。
See dimension details ↓- Dataset Specificity78
主导的“工业数据”，行业工业，2 个具体类型
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 Volume88
9 个证据命中
Apparent scale of the data, inferred from the number of evidence hits and any explicit volume mentions. - Dataset Freshness62
API/开放（当前）
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 Demand92
人工智能在制造业市场，该市场严重依赖工业运营数据集进行预测性维护和质量控制等应用，预计将以 35% 的复合年增长率 (CAGR) 增长
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility62
开放/API 访问
How legally easy the data is to obtain and use — open/API access scores high; PII or regulated data scores low. - Acquisition Feasibility4
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 Strength80
3 种证据类型，9 次命中
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=拥有，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 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，3 个近期外部信号 — 超出已货币化部分的专有数据
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.
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Developer portal
来自 Altris 在线存在的面向公众的信息证实了其作为钠离子电池技术创新开发商的地位，突显了其在可持续能源解决方案方面的重大研发和工业化努力。
Industrial data
来自其设施的直接证据详细说明了工业规模生产线和研发运营的存在，证实了对运营优化和高级分析至关重要的丰富时间序列数据的来源。
press
- “<p>Deux ans après une première levée de fonds de 5,5 M€, le jeune expert du trading et du développement de batteries Eclipse boucle  </p> <p>L’article <a href="https://www.greenunivers.com/2026/06/batteries-eclipse-leve-20-me-et-regarde-vers-lespagne-425864/">Batteries : Eclipse lève 20 M€ et regarde vers l’Espagne</a> est apparu en premier sur <a href="https://www.greenunivers.com">GreenUnivers</a>.</p>”
- “Lithium solved a very real problem, offering energy density high enough to make modern portable electronics and electric vehicles commercially viable.”
- “<p>Afin d’étudier la faisabilité d’un déploiement massif de batteries sodium-ion (Na-ion) en intralogistique, Jungheinrich a entrepris d’en tester en prototype sur des chariots électriques. Réalisés en conditions réelles chez des clients, ces tests interviennent dans un contexte devenu plus favorable pour cette technologie apparue dans les années 80 puis délaissée progressivement au profit du lithium-ion (Li-ion). […]</p> <p>L'article <a href="https://supplychainmagazine.fr/nl/2026/jungheinrich-teste-des-batteries-sodium-ion-pour-ses-chariots/">Jungheinrich teste des batteries sodium-ion”
Regulatory records
官方专利申请证明了 Altris 保护其专有技术的承诺，这凸显了其工业流程及其生成数据的独特性和创新性。
Marketplace
Dataset details
Geographic coverage
Global
Time range
Periodic (specific range not provided)
Update frequency
Periodic
Delivery
API
Formats
Time Series
License
One-time license for industrial monitoring and predictive maintenance AI model development.
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 value is driven by its high rarity as proprietary industrial operations data from a cutting-edge battery facility, coupled with strong demand from the rapidly growing Industrial AI and Predictive Maintenance markets.
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
Altris Industrial Operations — a Large industrial operations dataset (Time Series modality) in the industrial domain. Primary AI use-case: Industrial Monitoring. Market signal: Global Industrial AI market = $43.6 billion in 2024, CAGR 23% (2024-2030); Predictive Maintenance market = USD 14.93 billion in 2025, CAGR 32.32% (2026-2035) to USD 245.73 billion by 2035. Investment score 74.1/100 (confidence 0.61). Recommended action: Acquire.
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