Dataset opportunity
Jaka — 维护日志数据集机会
Jaka 持有的中等维护日志数据集，可用于预测性维护和异常检测。
Score
73.8
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
56%
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 size (indicative estimate)
全球预测性维护市场在 2023 年的估值为 87 亿美元，预计复合年增长率为 28.5%（来源：Market.us）
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
维护日志数据集
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 — 许可权待明确
Buyer persona
工业人工智能与维护优化供应商
Jaka 拥有其工业协作机器人在各个第三方客户站点运行所产生的极具价值的维护日志数据集。这些丰富的时间序列数据，包括详细的iot_data和可能存储在JAKA Cloud中的遥测数据，为开发和验证预测性维护算法提供了坚实的基础，以便在组件发生故障之前进行预测。
商业价值巨大，面向全球预测性维护市场，该市场在 2023 年的估值为 87 亿美元，预计将以惊人的 28.5% 的复合年增长率增长。[1] 尽管存在数据生成于第三方地点和涉及中国的潜在跨境数据传输法规等访问复杂性，但该运营协作机器人数据的稀缺性和实际应用性使其成为寻求在此高增长市场进行创新的 AI 买家的引人注目的资产。⚠ 尽职调查（有价值的数据，可协商的访问权限）：数据主要由部署在第三方客户站点的工业协作机器人生成；高价值遥测数据的重要部分可能存储在 JAKA Cloud 平台内；涉及中国的跨境数据传输法规可能适用于核心研发或遥测数据集。· 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 Jaka 拥有专有的、稀缺性高的数据集，其中包含详细说明其工业机器人手臂实际性能、运行和故障的时间序列数据。该数据集是开发预测性维护算法的关键原材料，这是 AI 供应商瞄准工业自动化领域的重要需求。在一个预计复合年增长率为 28.5% 的市场中，这些关于故障日志和生命周期优化的独特数据为下一代资产管理模型的训练和验证提供了显著的竞争优势。
See dimension details ↓- Dataset Specificity90
主导的“维护日志”，工业领域，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 Volume58
4 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 Demand95
AI 买家需求异常高，这得益于预测性维护解决方案市场的快速扩张，该市场正以 28.5% 的复合年增长率增长。[1]
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility40
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 Feasibility0
高难度，独立
How realistic it is to actually obtain the data, given access difficulty and the holder's corporate structure. - Evidence Strength74
4 种证据类型，4 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 Orientation73
3 个数据需求信号（3 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 Audit75
✓ 良好目标 — JAKA 是一家全球协作机器人制造商，其核心业务是销售硬件，这使得其数万台已部署机器人的运营数据成为宝贵的、未被充分利用的副产品。问题：该公司有一项名为“JAKA OTA”的服务，用于收集和分析运营数据以进行远程服务；此数据的确切性质和可访问性需要；该公司报告的员工人数在 139 至 694 人之间，并且具有重要的全球影响力，可能超出理想范围
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
press
- “<figure><div><img src="https://imgproxy.divecdn.com/l100fvvKHlQOa7YSMmkJEOYzdOLBWqHCpBGdEqC-dDg/g:ce/rs:fill:1600:900:1/Z3M6Ly9kaXZlc2l0ZS1zdG9yYWdlL2RpdmVpbWFnZS9hdXRvbWF0ZS5qcGc=.webp" /></div></figure><p>Collaborative robots have taken off in recent years as artificial intelligence makes them useful for a wider variety of applications.</p>”
- “<p>Humanoid robots made many headlines in June 2026, whether it be for companies going public, new deployments, or hitting production milestones.</p> <p>The post <a href="https://www.therobotreport.com/top-10-robotic-stories-june-2026/">Top 10 robotics developments of June 2026</a> appeared first on <a href="https://www.therobotreport.com">The Robot Report</a>.</p>”
- “<figure><div><img src="https://imgproxy.divecdn.com/yF9PckOAZ1x9doLJuoooHLNPZm6j5DpRMjtgyZiV55Y/g:ce/rs:fill:1600:900:1/Z3M6Ly9kaXZlc2l0ZS1zdG9yYWdlL2RpdmVpbWFnZS9EU0NfMjkxOS5qcGc=.webp" /></div></figure><p>Upcoming industry events will showcase the latest products and cover topics ranging from tariff mitigation and automation to workforce retention strategies.</p>”
Developer portal
该公司为学校和研究机构维护一个开发者门户，这表明其在数据方面采取了结构化的方法，并且可能成为来自机器人训练实验的标记数据的来源。
IoT / sensor data
Jaka 从其机器人收集实时物联网数据，包括传感器读数和错误日志，这是 AI 供应商构建实时资产监控和异常检测模型所需的高频输入。
Industrial data
持有者拥有关于机器人编程和操作的专有数据集，提供了关键的运营背景，使 AI 模型能够将特定的使用模式与协作机器人的长期设备磨损相关联。
Maintenance logs
该数据集包括历史故障日志和性能数据，代表了用于训练和验证用于预测性维护和生命周期优化的监督机器学习模型的地面真实标签。
Marketplace
Dataset details
Geographic coverage
Global
Time range
Real-time
Update frequency
Real-time
Delivery
API
Formats
JSON, Time Series
License
One-time license for predictive maintenance algorithm development and validation. Usage restricted to internal AI model training.
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's value is driven by its high rarity as proprietary industrial cobot maintenance logs and strong demand from the rapidly growing predictive maintenance market. The data's granular time-series nature and real-time freshness are critical for developing advanced AI algorithms.
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
Jaka Maintenance Logs — a Moderate maintenance logs dataset (Time Series modality) in the industrial domain. Primary AI use-case: Predictive Maintenance. Market signal: Global Predictive Maintenance market was valued at USD 8.7 Billion in 2023, with a projected CAGR of 28.5% (source: Market.us). Investment score 73.8/100 (confidence 0.56). Recommended action: Acquire.
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