Dataset opportunity
Quwireless — 工业运营数据集机会
Quwireless 持有的海量工业运营数据集，可用于工业监控和预测。
Score
42.5
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
70%
Action
授权
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)
全球工业物联网 (IIoT) 市场在 2025 年的价值为 2039 亿美元，预计在 2026-2033 年期间的复合年增长率为 12.6%。
Recent dated external facts that triggered this opportunity — auditable provenance.
- 📰press2026-08-25
Taoglas expands outdoor and industrial connectivity capabilities
iotinsider.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.
Profile
Dataset profile
Type
工业运营数据集
Modality
时间序列
Sector
工业
Volume
大型
Freshness
实时
Rarity
高（专有）
Accessibility
开放/API
Legal
公司所有 — 可授权
Buyer persona
工业人工智能集成商
Quwireless 持有一个专门的工业运营数据集，主要由其内部研发、射频工程日志和硬件性能基准测试的时间序列数据组成。该集合包含 `iot_data`、`event_streams` 和 `industrial_data`，可深入了解物理硬件的制造和测试过程，因此非常适合开发和训练复杂的工业监控人工智能模型。
该数据面向全球工业物联网 (IIoT) 市场，该市场在 2025 年的价值为2039 亿美元，预计到 2033 年将以12.6% 的复合年增长率增长。[8] 尽管访问复杂，需要从专有的 CAD/CAM 和射频仿真环境中提取数据，但其稀缺性以及与硬件测试过程的直接联系，为在该高增长领域创建预测性维护和运营效率解决方案提供了独特而有价值的资产。⚠ 注意事项（有价值的数据，可协商的访问权限）：数据主要为内部研发、射频工程日志和硬件性能基准测试；专有数据与物理硬件制造和测试过程相关；访问需要从 CAD/CAM 系统和射频仿真环境中提取。· 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 Quwireless 拥有其专业工业无线硬件生成的专有时间序列和工程数据。该数据集包括真实的运营流、压力下的性能指标以及详细的 3D 模型，对于工业人工智能集成商来说是一项稀有且有价值的资产。在全球 IIoT 市场预计将超过 2000 亿美元的情况下，这些数据直接支持开发高价值的人工智能应用，例如预测性维护、网络优化和数字孪生模拟。
See dimension details ↓- Dataset Specificity100
主导的“industrial_data”，行业为工业，4 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（开放会降低稀缺性）
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 Value94
适合工业监控
How useful the data is for the target AI use-case — its fit for model training or fine-tuning. - Buyer Demand92
人工智能买家需求极高，这得益于价值 2039 亿美元的庞大工业物联网市场及其强劲的 12.6% 复合年增长率，这需要高质量的真实运营数据来训练预测模型。[8]
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 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 Strength98
6 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=公司所有，授权=干净
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 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，1 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 Audit42
⚠ 审查 — 公司的核心业务是制造和销售硬件（天线和外壳），而不是运营服务，因此它不会作为副产品积累所需的运营数据。问题：该公司是一家硬件制造商，销售天线和外壳。[1, 2, 6]；它不运营使用其硬件的网络；它的客户运营（例如，在采矿、海运、CCTV 应用中）。[1, 3, 16]；其产品使用产生的数据归其客户所有，而非 QuWireless；该公司最近被更大的天线和射频解决方案提供商 Taoglas 收购。[1, 9]
- Deep Qualification100
✓ 通过 — QuWireless 是一家硬件制造商，其工业天线的内部研发和测试流程会生成有价值的公司所有数据集。最近被 Taoglas 收购是一个重大的公司触发事件，为与新母公司讨论数据策略创造了机会，因为它正在整合资产。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Knowledge base / docs
该公司维护一个基于文本的知识库，详细说明其工程标准和设计软件，为人工智能模型可解释性和特征工程提供关键背景。
Event streams
这是来自活动客户部署的实时时间序列数据，捕获实时传输和位置事件，这对于训练关于真实世界运营行为的模型至关重要。
Downloads / exports
持有者提供广泛的文档，包括数据表和认证，这些构成了关于技术规格的结构化表格数据，非常适合建立性能基准。
Image collection
Quwireless 拥有大量专有的天线设计3D 模型库，提供几何数据，这是构建复杂的数字孪生和仿真环境的基础。
Industrial data
这是结构化的时间序列数据，详细说明了全球频段上的精细天线性能指标，这对于训练网络优化和资源管理算法至关重要。
IoT / sensor data
该数据集包含来自极端环境中认证测试的独特压力测试数据，为训练强大的预测性维护和异常检测模型提供了宝贵的信号。
Marketplace
Dataset details
Detailed schema & sample available on access request.
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Coverage
Scanned sources
Deliverable
Premium dataset report
Quwireless Industrial Operations — a Large industrial operations dataset (Time Series modality) in the industrial domain. Primary AI use-case: Industrial Monitoring. Market signal: Global Industrial Internet of Things (IIoT) market was valued at $203.9 billion in 2025, projected to grow at a 12.6% CAGR (2026-2033) (source: Grand View Research).. Investment score 42.5/100 (confidence 0.7). Recommended action: License.
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