Dataset opportunity
Icedesign — 工业运营数据集机会
Icedesign 持有的中等工业运营数据集,可用于工业监控和预测。
Score
40
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
63%
Action
许可
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)
全球工业分析市场将从 2026 年的 445.7 亿美元增长到 2031 年的 973.8 亿美元,复合年增长率为 16.92%。
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
为客户提供专有设计组合,以快速启动项目
source ↗
Profile
Dataset profile
Type
工业运营数据集
Modality
时间序列
Sector
工业
Volume
中等
Freshness
实时
Rarity
中等
Accessibility
部分
Legal
混合所有权 — 许可权待明确
Buyer persona
工业人工智能集成商
Icedesign 持有一个全面的工业运营数据集,结构为时间序列数据,涵盖商业记录、物联网数据以及来自船舶设计和运营的广泛工业信息。这包括前罗马尼亚国有船舶研究机构 (ICEPRONAV) 的宝贵历史数据,使其非常适合开发和训练复杂的工业监控人工智能模型。
工业分析的全球市场规模巨大,预计从2026 年的 445.7 亿美元增长,复合年增长率为 16.92%。尽管存在访问复杂性,例如专有设计 (Argo/Thames Class)、客户拥有的项目数据以及专门的 3D 格式 (AVEVA Marine),但该数据集独特的深度和构成使其成为在此高增长市场中创建高性能人工智能解决方案的极其有价值的资产。⚠ 注意(有价值的数据,可协商的访问权限):客户委托项目的的数据所有权可能受到限制或归客户所有;专有设计 (Argo/Thames Class) 为公司所有且极具价值;前罗马尼亚国有船舶研究机构 (ICEPRONAV) 的历史数据增加了显著的深度;数据存储在需要特定处理的专用 3D 格式 (AVEVA Marine) 中 · 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 Icedesign 持有根植于60 年海军建筑和海洋工程的深度、多模态数据集。数据包括来自 AVEVA Marine 等 3D 设计工具的专有时间序列输出,以及大量的专有船舶设计库存,量化为每年超过 700,000 个工程人时。对于工业人工智能集成商而言,该数据集是训练复杂的工业监控和预测性维护模型的稀有资产。获取此数据可战略性地进入全球工业分析市场,预计到 2031 年将翻一番以上,达到973.8 亿美元。
See dimension details ↓- Dataset Specificity78
主导的“工业数据”,行业为工业,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 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 Volume64
5 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
人工智能买家需求非常高,这得益于工业分析市场的显著增长,预计该市场将以 16.92% 的复合年增长率从 2026 年的 445.7 亿美元扩张。
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility56
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 Feasibility66
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 Strength86
5 种证据类型,5 次命中
How solid the proof is that the company holds this data — diversity of evidence types and number of hits. - Right to License36
所有权=混合,许可=权利不明确
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 个数据胃口信号(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 — 拥有超出已货币化部分之外的专有数据
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 Audit33
⚠ 审查 — 这是一个大型国际船舶设计咨询集团,而不是拥有休眠数据的运营业务;其核心产品是销售工程和设计服务,这是一种情报形式。问题:该公司的核心业务是销售情报(船舶设计和工程服务),这属于明确的排除标准。[2, 6, 13];它不是中小企业,而是欧洲最大的独立船舶设计咨询公司,拥有 300 多名工程师和年产能超过 700,000 人时。[2, 5, 6];该公司没有“真正的运营业务”,即船队、工厂或市场;它为这些行业提供服务。[13];他们拥有的数据将是其客户的设计数据,而不是其自身非数据业务的副产品产生的专有运营数据。
- Deep Qualification80
✓ 通过 — Icedesign 是一家船舶设计咨询公司,销售工程服务,而非数据。数据所有权是混合的:它拥有有价值的专有设计和历史档案,但为客户所做的工作很可能归客户所有,这造成了重大的访问障碍。数据集的存在是合理的,但其用于人工智能训练的商业可用性非常值得怀疑。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Downloads / exports
这些证据指向了一系列结构化的PDF 文档,例如公司通讯,这些文档可以为市场分析和商业智能应用提供有价值的背景数据。
Industrial data
持有者拥有有价值的专有工业设计库存,为培训特定资产类别(如海上巡逻艇)的模型提供了独特且可防御的数据源。
business_records
商业记录量化了巨大的运营规模,表明每年有超过700,000 人时的专业工程工作,这转化为海量且持续的项目数据流。
Knowledge base / docs
该公司60 年的传承,源自一家英国供应商和一家国家研究机构,证明了其拥有深度、纵向知识库,非常适合训练模型以理解长期的工业趋势。
IoT / sensor data
这证实了来自 AVEVA Marine 等领先的工业设计软件的高保真时间序列数据的生成,涵盖了关键的工程学科,并提供了数字孪生应用所需的精细输入。
Marketplace
Dataset details
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
Icedesign Industrial Operations — a Moderate industrial operations dataset (Time Series modality) in the industrial domain. Primary AI use-case: Industrial Monitoring. Market signal: Global Industrial Analytics Market to grow from $44.57 billion in 2026 to $97.38 billion by 2031, at a CAGR of 16.92% (source: Mordor Intelligence).. Investment score 40.0/100 (confidence 0.63). Recommended action: License.
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