Dataset opportunity
Phoenix Robotics — 工业传感器数据集机会
Phoenix Robotics 持有的中等规模工业传感器数据集，可用于预测性维护和异常检测。
Score
72.1
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在 2024 年估值为 123 亿美元，预计到 2033 年将达到 688 亿美元，复合年增长率为 29.7%。[7]
Recent dated external facts that triggered this opportunity — auditable provenance.
- 📰press2026-06-14
Modernizing the global economy with industrial robotics is needed but not inevitable
therobotreport.com ↗ - 📰press2026-06-13
Windows for robots: Edge AI expands usability
therobotreport.com ↗ - 📰press2026-06-12
AI in warehousing: Akash Gupta’s vision for the future
therobotreport.com ↗ - 📰press2026-06-12
MassRobotics announces the winners of 2026 Robotics Medal and Rising Star awards
therobotreport.com ↗ - 📰press2026-06-12
Robotics Summit panel explores the state of humanoid robot design
therobotreport.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
中等
Freshness
实时
Rarity
高（专有）
Accessibility
受限
Legal
混合所有权 — 需明确许可权
Buyer persona
工业人工智能与维护优化供应商
Phoenix Robotics 持有一个宝贵的工业传感器数据集，该数据集由其检查项目中的时间序列数据组成。它包含了来自各种传感器的丰富物联网数据，并辅以用于视觉证据的 `image_collection` 和用于资产定位的 `geo_data`，使其特别适合训练强大的预测性维护模型，以预测工业环境中的设备故障。
全球预测性维护市场在 2024 年的价值约为 123 亿美元，预计到 2033 年将以约 29.7% 的惊人复合年增长率 (CAGR) 增长，达到 688 亿美元。[7] 虽然访问此稀有数据需要进行谈判，因为存在客户共同所有权以及图像和日志的潜在监管限制，但其丰富性是一项重要资产。原始传感器日志和高分辨率图像的可用性，超出了通常在处理报告中销售的范围，为人工智能买家提供了开发高度准确和专有的预测模型的独特机会，这证明了尽职调查的合理性。⚠ 尽职调查（有价值的数据，可协商访问）：数据所有权可能与特定检查项目的客户共享；原始传感器日志和高分辨率图像可能存在于已售出的处理报告之外；关于飞行日志和敏感基础设施图像的潜在监管限制 · 公司：独立。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
证据证实 Phoenix Robotics 拥有专有的多模态数据集，通过时间序列、热成像和激光雷达数据捕获工业资产的物理状态。这种独特的组合是开发复杂的预测性维护算法的关键资产，该市场预计到 2033 年将达到 688 亿美元。对于人工智能供应商而言，此数据为构建更准确的基础设施检查和资产监控模型提供了直接途径，满足了快速扩张的工业人工智能领域迫切的需求。
See dimension details ↓- Dataset Specificity90
主导的'物联网数据'，行业工业，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，作为工业传感器数据用于人工智能的主要消费者，预计将从 2026 年的 171.1 亿美元增长到 2034 年的 973.7 亿美元，反映出极高的复合年增长率 (CAGR)
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility28
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 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 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 — 专有数据超出已货币化的范围
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 — 这家机器人系统集成商为制造商销售和安装自动化硬件，使其成为一个完美的目标，其客户的运营会产生有价值的、休眠的传感器数据作为副产品。问题：该公司是系统集成商；有价值的运营数据在其客户的场所生成，因此需要解决数据所有权和访问权限；从公开来源无法获得精确的员工人数或营业额，但该公司的业务模式和业务模式
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
IoT / sensor data
该公司从其专有传感器节点捕获实时环境时间序列数据，这是训练异常检测和运行监控模型的基石。
Image collection
该数据集包括关键基础设施的高分辨率RGB和热成像，能够开发计算机视觉模型，用于自动化故障检测和资产检查。
Geospatial data
持有者使用无人机搭载的激光雷达传感器生成精确的3D 模型，为创建数字孪生和提高资产监控的准确性提供了关键的地理空间上下文。
Marketplace
Dataset details
Geographic coverage
Global
Time range
Real-time (implies ongoing collection, specific historical range not provided)
Update frequency
Real-time
Delivery
API
Formats
Time Series, Image Collection, Geo Data
License
One-time license for use in training predictive maintenance models. Specific usage restrictions to be negotiated.
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, multi-modal industrial sensor dataset offers high value for predictive maintenance due to its rarity and the significant growth projected for the sector. Its unique combination of time-series, thermal imaging, and LiDAR data is critical for advanced 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
Phoenix Robotics Industrial Sensor — a Moderate industrial sensor dataset (Time Series modality) in the industrial domain. Primary AI use-case: Predictive Maintenance. Market signal: Global Predictive Maintenance market valued at $12.3B in 2024, projected to reach $68.8B by 2033, with a CAGR of 29.7%. [7]. Investment score 72.1/100 (confidence 0.49). Recommended action: Acquire.
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