Dataset opportunity
Volt R — 数据集机会：维护日志
Volt R 持有的中等维护日志数据集，可用于预测性维护和异常检测。
Score
76
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
49%
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
全球预测性维护市场 = 2025 年为 149.3 亿美元，复合年增长率为 32.32%（2026-2035 年）（来源：SNS Insider）
Recent dated external facts that triggered this opportunity — auditable provenance.
- 📰press2026-06-12
Op-Ed: Scripted to fail — Europe’s critical minerals blind spot
mining.com ↗ - 📰press2026-06-12
Marenica growth backs Elevate’s Namibia uranium push
mining.com ↗ - 📰press2026-06-11
Millions in DOE investments aim to boost domestic critical minerals
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.
Concrete evidence this company actively cares about data — why it's ripe for the deal room.
- 📦Data product
Volt-R 模拟平台（数字孪生）
source ↗
Profile
Dataset profile
Type
维护日志数据集
Modality
时间序列
Sector
工业
Volume
中等
Freshness
实时
Rarity
高（专有）
Accessibility
部分
Legal
公司所有 — 许可清晰
Buyer persona
工业人工智能与维护优化供应商
Volt R 拥有其工业运营产生的高度有价值的时间序列数据集，包括维护日志、物联网数据以及在其 Anjou 工厂进行的物理电池测试的工业数据。该集合独特地丰富了专有的SOH（健康状态）诊断日志，这是其电池再制造过程的罕见副产品，因此特别适合开发用于电池生命周期和性能管理的复杂预测性维护模型。
全球预测性维护市场在 2025 年的估值为149.3 亿美元，预计将以32.32% 的复合年增长率增长，这表明对此类数据的需求巨大。[12] 虽然访问 Volt R 的数据需要进行谈判，因为其专有性质和来自物理资产的生成，但这种复杂性确保了高质量、独特且不可复制的数据集。这种稀缺性和细节为任何旨在引领工业能源和电池管理领域的 AI 买家提供了独特的竞争优势。⚠ 尽职调查（有价值的数据，可协商访问）：数据通过其 Anjou 工厂的物理电池测试生成；专有的 SOH（健康状态）诊断日志是其再制造过程的副产品；该公司还运营一个模拟平台（volt-r.ai），该平台可能会汇总客户的能源配置。· 公司：独立。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
公开证据证实 Volt R 拥有稀有的专有数据集，详细介绍了工业电池的完整生命周期，从物联网传感器数据到数字孪生模拟和维护日志。这种独特的时间序列数据组合正是工业人工智能供应商构建和训练复杂的预测性维护模型所需要的。在一个预计到 2025 年将达到近 150 亿美元且年增长率超过 30% 的市场中，该数据集为优化电池性能和寿命提供了显著的竞争优势。对于任何专注于资产优化和二次生命应用的公司的来说，这是一个高价值资产。
See dimension details ↓- Dataset Specificity90
主导的“维护日志”，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 Volume52
3 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/流式传输
How current the data stays — real-time/streaming scores highest, periodic dumps lower. - Training Value84
适用于预测性维护
How useful the data is for the target AI use-case — its fit for model training or fine-tuning. - Buyer Demand92
全球预测性维护市场预计到 2033 年将增长至 981 亿美元，从 2026 年起呈现非常高的 27.9% 的复合年增长率，这直接推动了人工智能团队所需的底层维护日志数据的需求。
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 Feasibility30
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 Strength62
3 种证据类型，3 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=已拥有，许可=清晰
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 Audit42
⚠ 审查 — Volt-R 销售使用其客户数据的智能服务（模拟平台），这是一个“不良目标”画像，因为其核心产品是销售见解，而不是持有自己的运营数据。问题：公司的核心业务是销售智能/模拟，这是一个排除类别。[5]；公司不持有其自身运营的副产品专有数据；它是一家分析客户数据的软件/服务提供商。[5]；存在严重的名称混淆。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
IoT / sensor data
该证据表明用于健康状态（SOH）诊断的时间序列物联网数据对于训练预测电池寿命和优化二次生命应用的模型至关重要。
Industrial data
该公司生成工业数据来构建和校准数字孪生，使人工智能供应商能够模拟大量运营场景并优化维护优化算法。
Maintenance logs
这表明存在专有的维护日志，详细说明了电池的技术历史和价值化，提供了验证预测模型所需的关键地面真实数据。
Marketplace
Dataset details
Geographic coverage
Global
Time range
Real-time
Update frequency
Real-time
Delivery
API
Formats
Time Series, Proprietary Logs
License
One-time license for internal use in developing predictive maintenance models. Restrictions on redistribution and resale 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 dataset's high value is driven by its proprietary SOH diagnostic logs and time-series industrial data, crucial for advanced predictive maintenance models in the rapidly growing battery sector. The significant market demand, evidenced by the $14.93 billion global predictive maintenance market with a 32.32% CAGR, supports a premium valuation.
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
Volt R Maintenance Logs — a Moderate maintenance logs dataset (Time Series modality) in the industrial domain. Primary AI use-case: Predictive Maintenance. Market signal: Global Predictive Maintenance Market = $14.93 Billion in 2025, CAGR 32.32% (2026-2035) (source: SNS Insider). Investment score 76.0/100 (confidence 0.49). Recommended action: Acquire.
From the marketplace
Explore live data opportunities
Cardiofocus — 传感器遥测数据集商机
View opportunity →移动出行Qualitairsea — 工业运营数据集机会
View opportunity →医疗保健Distalmotion — 医学影像数据集机会
View opportunity →