Dataset opportunity
Ass Maschinenbau — 工业运营数据集机会
Ass Maschinenbau 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
63.7
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
44%
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 size (indicative estimate)
全球工业自动化市场 = 2025 年为 2725.1 亿美元，复合年增长率为 9.80%（来源：Fortune Business Insights）。[4, 6]
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
工业
Volume
中等
Freshness
定期
Rarity
高（专有）
Accessibility
部分
Legal
公司所有 — 许可干净
Buyer persona
工业人工智能集成商
Ass Maschinenbau 拥有一份专门的工业运营数据集，其中包含其生产环境的时间序列数据和相应的图像集。这些数据源自其在机器人末端执行器 (EOAT) 和自动化系统方面的核心业务，提供了细致的、真实的运营指标，非常适合用于工业监控用例的 AI 模型训练和验证。
该数据的价值体现在庞大的全球工业自动化市场，预计到 2025 年市场规模将达到2725.1 亿美元，复合年增长率 (CAGR) 为 9.80%。[4, 6] 由于该公司是 Indus Holding AG 的子公司，且数据高度专业化，因此访问数据需要进行谈判。但其稀缺性以及与这个高增长市场的直接适用性，使其成为开发复杂监控和预测性维护解决方案的宝贵资产。⚠ 尽职调查（有价值的数据，可协商访问）：Indus Holding AG（上市公司投资集团）的子公司，这可能会影响数据许可政策；大部分技术数据（CAD）已通过其门户网站提供给注册客户；数据高度专业化，适用于机器人末端执行器 (EOAT) 和自动化。· 公司：Indus Holding AG 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 Ass Maschinenbau 拥有一份独特的专有工业时间序列数据来源，该数据源自汽车、塑料和关键电池生产行业的精密自动化。对于工业 AI 集成商而言，该数据集是开发先进工业监控和流程优化解决方案的直接输入。利用这些数据，可以在快速增长的工业自动化市场中获得显著优势，该市场预计到 2025 年将超过 2720 亿美元。
See dimension details ↓- Dataset Specificity78
主导的“工业数据”，行业工业，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 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 Freshness46
定期
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 Demand90
AI 买家需求极高，这得益于对专业运营数据的需求，以在庞大且不断增长（2725.1 亿美元，9.80% CAGR）的工业自动化市场中进行创新。[4, 6]
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，Indus Holding AG 的子公司
How realistic it is to actually obtain the data, given access difficulty and the holder's corporate structure. - Evidence Strength53
2 种证据类型，3 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=已拥有，许可=干净
Whether the company can legally license the data out — based on ownership and licensing complexity. - Corporate Independence50
Indus Holding AG 的子公司
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 Surplus70
盈余=中等，5 个近期外部信号 — 专有数据超出已货币化的部分
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
✓ 好目标 — 该中小企业非常适合；它制造工业自动化硬件，其部署系统的运营数据是副产品，而非其核心销售产品。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
press
- “<p>Editors Steve Crowe, Mike Oitzman, and Sarah Wynn review Automate 2026, analyzing key trends in physical AI, humanoids, and software orchestration.</p> <p>The post <a href="https://www.therobotreport.com/automate-2026-show-recap/">Automate 2026 show recap</a> appeared first on <a href="https://www.therobotreport.com">The Robot Report</a>.</p>”
- “<p>Experts are recognizing the importance of mechanical positioning and its impact on the machine’s mobility, range and speed.</p> <p>The post <a href="https://www.therobotreport.com/why-you-should-combine-robot-dexterity-with-mechanical-positioning-for-complex-assembly-operations/">Why you should combine robot dexterity with mechanical positioning for complex assembly operations</a> appeared first on <a href="https://www.therobotreport.com">The Robot Report</a>.</p>”
- “<p>Luxonis said it plans to scale production of its OAK camera and refine its platform to support robotics and industrial automation. </p> <p>The post <a href="https://www.therobotreport.com/luxonis-closes-series-a-round-to-scale-physical-ai-perception-layer/">Luxonis closes Series A round to scale physical AI perception layer</a> appeared first on <a href="https://www.therobotreport.com">The Robot Report</a>.</p>”
Industrial data
这是高稀缺性的时间序列数据，捕获了复杂的、真实的工业流程，如装配、质量检测和电池生产的专业处理，从而能够开发用于预测性维护和过程控制的先进 AI。
Image collection
该公司维护着一个包含数千个机电组件和夹具零件的 3D 数据综合库，为构建高保真数字孪生和机器人仿真环境提供了宝贵的资源。
Marketplace
Dataset details
Geographic coverage
Global
Time range
Periodic (specific range not provided, assumed historical + ongoing)
Update frequency
Periodic
Delivery
Likely file export (e.g., CSV, Parquet) or secure transfer
Formats
Time Series, Image Collections
License
One-time license for internal use, AI model training, and industrial monitoring. 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 dataset from Ass Maschinenbau offers high-value operational insights into robotic end-of-arm tooling and automation, directly feeding into the rapidly growing industrial automation market. Its rarity and specific application in critical sectors like battery production drive significant demand for industrial monitoring and AI model training.
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
Ass Maschinenbau Industrial Operations — a Moderate industrial operations dataset (Time Series modality) in the industrial domain. Primary AI use-case: Industrial Monitoring. Market signal: Global Industrial Automation market = $272.51 billion in 2025, CAGR 9.80% (source: Fortune Business Insights). [4, 6]. Investment score 63.7/100 (confidence 0.44). Recommended action: Partnership (group-level).
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