Dataset opportunity
Intercel — 工业传感器数据集机会
Intercel 持有的海量工业传感器数据集，可用于预测性维护和异常检测。
Score
74.2
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
60%
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
全球预测性维护市场在 2025 年的价值为 142 亿美元，预计从 2026 年到 2033 年的复合年增长率为 27.9%。[1]
Recent dated external facts that triggered this opportunity — auditable provenance.
- 📰press2026-06-16
Le fondateur d’Arverne va s’associer à RGreen Invest pour renforcer son contrôle
greenunivers.com ↗ - 📰press2026-06-16
Verogy Starts Work on Solar Facilities at Municipal Landfills
powermag.com ↗ - 📰press2026-06-16
In wildfire country, every home should be a microgrid
utilitydive.com ↗ - 📰press2026-06-16
Comment Poweend veut valoriser ses petites éoliennes en autoconsommation
greenunivers.com ↗ - 📰press2026-06-16
Engie crée sa task force pour les centres de données
greenunivers.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.
Profile
Dataset profile
Type
工业传感器数据集
Modality
时间序列
Sector
工业
Volume
大
Freshness
实时
Rarity
中等
Accessibility
开放 / API
Legal
公司所有 — 可授权
Buyer persona
工业人工智能与维护优化供应商
Intercel 持有一个重要的工业传感器数据集，该数据集由其先进的电池管理系统 (BMS) 和工业应用中的物联网遥测技术收集的专有时间序列数据组成。这些数据提供了详细的、真实的运行指标，非常适合开发和验证预测性维护模型，从而能够在设备发生故障之前检测异常并预测故障。
该数据服务于一个快速扩张的市场；全球预测性维护市场在 2025 年的价值约为 142 亿美元，预计在 2026 年至 2033 年期间的复合年增长率 (CAGR) 为 27.9%。[1] 尽管存在潜在的共享所有权和需要 Kandu 集团级别的批准等访问复杂性，但这种嵌入式BMS数据的稀有性和专有性质使其成为一项高价值资产。对于人工智能开发者来说，获取这个独特的数据集可以在对经过验证的真实工业数据有强烈需求的市场中获得独特的竞争优势。⚠ 尽职调查（有价值的数据，可协商的访问权限）：数据可能嵌入在电池管理系统 (BMS) 和专有物联网遥测技术中；所有权可能与非公路应用的用户共享；属于 Kandu 集团的一部分，需要集团级别或区域管理部门的批准 · 公司：Kandu 的子公司。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
这些证据共同证明了持有者运营着一个物联网监控平台，该平台捕获其工业电池系统的专有时间序列数据。该数据直接跟踪资产的性能和安全性，使其成为训练预测性维护算法的高价值、即用型资源。对于以工业领域为目标的人工智能供应商来说，该数据集为开发优化电池寿命和防止故障的模型提供了直接途径。在全球预测性维护市场预计以近 28% 的复合年增长率增长的情况下，获取此类特定的工业传感器数据可提供独特的竞争优势。
See dimension details ↓- Dataset Specificity78
主导的 'iot_data'，工业领域，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 Rarity46
专有领域数据（开放会降低稀有度）
How scarce and proprietary the data is. Unique domain data scores high; openly available data lowers it. - Dataset Volume70
6 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 Value74
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从 2026 年到 2033 年的复合年增长率为 27.9%，这得益于工业 4.0 的采用以及最大限度地减少设备停机时间的需求，这直接推动了对传感器数据以进行训练的需求
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility78
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 Feasibility51
中等难度，Kandu 的子公司
How realistic it is to actually obtain the data, given access difficulty and the holder's corporate structure. - Evidence Strength80
4 种证据类型，6 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=干净
Whether the company can legally license the data out — based on ownership and licensing complexity. - Corporate Independence50
Kandu 的子公司
Whether the holder can decide alone — an independent company scores higher than a subsidiary of a large group. - Data Orientation56
2 个数据需求信号（2 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 — 超出已货币化数据的专有数据
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 Audit100
✓ 良好目标 — 极佳目标：Intercel 是一家荷兰中小型企业，生产和销售用于工业用途的定制电池系统，这些系统会产生专有的运行数据作为副产品；他们的核心业务是销售硬件，而不是数据或情报。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Downloads / exports
该公司为其产品提供了广泛的公开文档和认证，表明其拥有结构良好的产品目录，可以为人工智能模型提供丰富的元数据。
IoT / sensor data
直接证据证实存在一个物联网监控平台和电池管理系统，这些系统生成预测性维护开发人员寻求的关于电池性能的核心时间序列数据。
Industrial data
该数据明确与工业级电池相关，侧重于耐用性和安全性，这确保了该数据集与实际资产管理应用的直接相关性。
Data catalog / marketplace
一个专门用于匹配车辆与电池的工具，展示了一个结构化的多模态数据环境，其中物理资产与其特定的组件数据系统地关联。
Marketplace
Dataset details
Geographic coverage
Global
Time range
Real-time
Update frequency
Real-time
Delivery
API
Formats
Time Series
License
One-time license for developing and validating predictive maintenance models.
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 offers proprietary time-series sensor data from industrial battery systems, crucial for predictive maintenance in a rapidly growing market. Its value is driven by its direct application to asset performance and safety, feeding into a market projected for significant expansion.
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
Intercel Industrial Sensor — a Large industrial sensor dataset (Time Series modality) in the industrial domain. Primary AI use-case: Predictive Maintenance. Market signal: Global Predictive Maintenance market valued at USD 14.2 billion in 2025, projected to grow at a CAGR of 27.9% from 2026 to 2033. [1]. Investment score 74.2/100 (confidence 0.6). Recommended action: Partnership (group-level).
From the marketplace
Explore live data opportunities
Fashinza — 工业运营数据集机会
View opportunity →出行Gallaghertransport — 监管记录数据集机会
View opportunity →移动Paua — 移动遥测数据集机会
View opportunity →