Dataset opportunity
Livex — 传感器遥测数据集机会
Livex 持有的中等传感器遥测数据集，可用于预测性维护和异常检测。
Score
66.3
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 size (indicative estimate)
全球预测性维护市场 = 2025 年为 142 亿美元，复合年增长率为 27.9%。
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
传感器遥测数据集
Modality
时间序列
Sector
其他
Volume
中等
Freshness
实时
Rarity
高（专有）
Accessibility
受限
Legal
混合所有权 — 许可权待澄清
Buyer persona
工业人工智能与维护优化供应商
Livex 持有源自其现场制作和广播运营的传感器遥测数据集，其中包括时间序列数据，如其设备的事件流和物联网数据。这些信息提供了设备性能的详细历史和实时记录，非常适合开发预测性维护模型，以预测广播硬件的故障。
全球预测性维护市场在 2025 年的估值为142 亿美元，预计将以27.9% 的复合年增长率增长。尽管存在已知的访问复杂性，例如数据被隔离在 Livex 的专有 VVCR 平台内以及客户保密协议，但底层技术元数据仍然是一项宝贵的资产。市场的高增长率凸显了对此类数据的强烈需求，使得获取访问权限的谈判成为人工智能买家的战略机会。⚠ 尽职调查（有价值的数据，可协商的访问权限）：生产合同通常将内容所有权授予客户，但技术元数据可能仍归 Live X 所有；访问原始视频源需要处理客户保密协议；专有数据可能被隔离在其 VVCR（虚拟视频控制室）平台内。· 公司：独立。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
证据证实 Livex 拥有由其基于云的现场制作平台生成的专有、大批量遥测数据集。这些数据涵盖实时网络性能指标、操作事件日志和原始视频，是训练复杂的预测性维护模型的独特资产。对于工业人工智能和维护优化供应商而言，这是一个难得的机会，可以获取真实数据以预测设备故障并在预计到 2025 年将达到 142 亿美元的市场中优化复杂系统。
See dimension details ↓- Dataset Specificity74
占主导地位的 'iot_data'，行业其他，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
人工智能买家需求异常高，这得益于市场的快速扩张和强劲的 27.9% 复合年增长率，因为公司正在积极采用人工智能来提高运营效率并减少停机时间。
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 Orientation22
0 数据胃口信号（0 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 — 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 — LiveX 是一家制作服务公司，隶属于大型 NEP Group，它很可能在其核心业务的副产品中生成有价值的专有设备遥测数据，使其成为一个潜在的良好但庞大的目标。问题：该公司是全球巨头（NEP Group）的子公司，这与偏好中小型企业和排除“巨头/不透明集团”的偏好相冲突；初始提示 URL (livex.tv) 是一个制作公司，但搜索结果也显示一个单独的、名称相似的人工智能软件公司 (livex.ai) 其公司
- Deep Qualification80
✓ 通过 — 目标是一家现场制作服务提供商，其运营副产品、来自其 VVCR 平台的设备和云遥测数据与指定数据集高度一致，但数据所有权很可能是混合的，需要协商。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Event streams
这是来自数千小时现场直播的操作事件的时间序列日志，为理解导致组件故障的系统压力和使用模式提供了关键背景。
IoT / sensor data
这是详细说明网络性能、延迟和硬件编码的高保真传感器遥测，对于训练模型以预测基础设施退化和防止代价高昂的停机至关重要。
Image collection
这是一个广泛的原始视频源存档，可以作为真实视觉证据，用于验证遥测数据中检测到的异常并提高模型准确性。
Marketplace
Dataset details
Detailed schema & sample available on access request.
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Coverage
Scanned sources
Deliverable
Premium dataset report
Livex Sensor Telemetry — a Moderate sensor telemetry dataset (Time Series modality) in the other domain. Primary AI use-case: Predictive Maintenance. Market signal: Global Predictive Maintenance market = $14.2B in 2025, CAGR 27.9% (source: Grand View Research). Investment score 66.3/100 (confidence 0.49). Recommended action: Acquire.
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