Dataset opportunity
Battri — 工业运营数据集机会
Battri 持有的大型工业运营数据集，可用于工业监控和预测。
Score
76.4
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
58%
Action
合作（集团层面）
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 = 2024年436亿美元，复合年增长率23%，到2030年达到1539亿美元（来源：IoT Analytics）
Recent dated external facts that triggered this opportunity — auditable provenance.
- 📰press2026-06-04
EnergyX, Wildcat Discovery Technologies team up to build ‘battery mecca’ in Texas
mining.com ↗ - 📰press2026-06-04
Resource nationalism redraws critical minerals playbook
mining.com ↗ - 📰press2026-06-04
Surge Battery raises $21M for Nevada lithium project
mining.com ↗ - 📰press2026-06-03
Deep Sea Minerals gets NOAA compliance
mining.com ↗ - 📰press2026-06-03
Stardust Power joins Department of Energy-backed lithium extraction program
mining.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.
- 📦Data product
颁发回收证书和效率报告
source ↗
Profile
Dataset profile
Type
工业运营数据集
Modality
时间序列
Sector
工业
Volume
大
Freshness
实时
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
Battri 拥有丰富的工业运营数据集，其模态为时间序列，涵盖数据量、事件流、工业数据和监管信息。这一全面的工业设备传感器数据集合对于工业监控应用至关重要，能够检测异常、优化流程并主动识别潜在的设备故障。这种细粒度、带时间戳的数据特性允许对运营绩效和状况进行详细分析，这对于人工智能驱动的洞察力至关重要。
此类数据的商业价值巨大，推动了快速扩张的工业人工智能市场，该市场在2024年估值为436亿美元，以23%的复合年增长率增长，到2030年将达到1539亿美元。这一增长主要由对预测性维护解决方案的需求驱动，这些解决方案可将计划外停机时间减少20%至50%。尽管由于Battri是KOSCO的子公司，数据访问存在复杂性，需要协调才能获取数据，但高质量工业时间序列数据的稀有性和价值对于实现显著的运营效率和成本降低至关重要，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）：KOSCO的子公司，需要与母公司协调才能获取数据。· 公司：KOSCO的子公司。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
此机会提供了访问Battri专有时间序列数据的途径，这些数据来源于工业电池回收运营，是快速扩张的全球工业人工智能市场的关键高稀有性资产，预计到2030年将达到1539亿美元。这一独特的数据集为工业人工智能集成商提供了高级工业监控的基础资源，能够在对循环经济至关重要的行业中实现预测性维护、流程优化和增强的ESG合规性。证据证实了丰富的运营和基于事件的数据的存在，使其对于开发解决当前工业挑战的强大人工智能解决方案具有极高价值。
See dimension details ↓- Dataset Specificity90
主导的“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 Freshness82
实时/流式
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 Demand90
工业人工智能市场推动了对此类数据集的需求，预计从2025年到2035年将以46.02%的复合年增长率（CAGR）增长，表明对专业工业数据的买家需求非常高且快速增长。
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 Feasibility15
中等难度，KOSCO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，授权=干净
Whether the company can legally license the data out — based on ownership and licensing complexity. - Corporate Independence50
KOSCO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 Audit92
✓ 良好目标 — Battri是一家法国锂离子电池回收公司，其核心业务会产生有价值的运营数据作为副产品，这些数据目前尚未作为独立数据产品出售，使其成为数据市场的良好目标。问题：Battri最近被KOSCO收购（70%股权），这可能会影响其未来的数据战略，尽管当前管理层保留了运营控制权。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Industrial data
这直接证实了核心机械回收过程（包括电池诊断和材料分离）产生了时间序列数据，这对于工业人工智能应用中的过程优化和质量控制具有不可估量价值。
Data-volume signal
此证据类型详细说明了Battri在电池回收方面显著且不断扩大的运营能力，表明其是工业领域资源规划和供应链分析的重要且不断增长的数据来源。
Event streams
这突出了与电池回收事件相关的实时跟踪和ESG数据的可用性，为专注于合规性和报告的人工智能模型提供了关键的运营透明度和可持续性洞察。
Regulatory records
此证据类型证实了通过回收证书和效率报告生成了结构化的合规数据，为工业领域的监管人工智能和审计应用提供了基本输入。
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 AI model training, with 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 proprietary, real-time industrial operations dataset is highly valuable due to its rarity and large volume, directly supporting the rapidly growing Industrial AI market for monitoring and optimization applications.
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
Battri 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 = $43.6B in 2024, CAGR 23% to $153.9B by 2030 (source: IoT Analytics). Investment score 76.4/100 (confidence 0.58). Recommended action: Partnership (group-level).
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