Dataset opportunity
Parisfc — 传感器遥测数据集机会
Parisfc 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
63.6
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
数据共享协议
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)
全球体育分析市场规模在 2023 年估值为 37.2 亿美元，预计在 2023-2032 年期间将以 23.6% 的复合年增长率增长。
Recent dated external facts that triggered this opportunity — auditable provenance.
- 📰press2026-10-18
European football: 10-man Lyon hold off Nice to move top of Ligue 1
theguardian.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
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
公司所有 — GDPR 敏感（PII 审查）
Buyer persona
工业人工智能与维护优化供应商
Paris FC 拥有一个由职业运动员的时间序列数据组成的传感器遥测数据集。该集合通过物联网数据、业务记录和图像集证明，包含高度精细的生物识别和健康指标，非常适合开发预测性维护模型，以预测和减轻球员伤病，这是精英体育中的一项高价值应用。
商业价值巨大，位于全球体育分析市场内，该市场在 2023 年的估值为 37.2 亿美元，并预计到 2032 年将以惊人的 23.6% 的复合年增长率增长。尽管由于运动员健康数据的敏感性以及复杂的权属过渡而存在访问复杂性，但该数据集的稀有性及其在创造球员管理竞争优势方面的直接适用性使其成为人工智能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）：职业运动员的高度敏感的生物识别和健康数据；涉及 Agache 和 Red Bull 的复杂权属过渡；可能与 LFP（法国职业足球联赛）存在数据共享限制 · 公司：Agache（Arnault 家族）和 Red Bull 的子公司。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
证据证实 Parisfc 拥有一项专有的时间序列数据集，该数据集通过可穿戴传感器捕获精英运动员的生物识别数据。该人类表现遥测集合，包括心率和身体负荷，为工业预测性维护应用提供了独特的代理。对于人工智能供应商来说，这是一个难得的机会，可以训练模型来预测系统故障并优化性能，从而进入预计每年增长超过 23% 的体育分析市场。
See dimension details ↓- Dataset Specificity62
主导的“物联网数据”，行业其他，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 Rarity70
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 Value74
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 Demand85
人工智能买家需求异常高，这得益于体育分析市场的快速增长，预计该市场将以 23.6% 的复合年增长率扩张。
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility20
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 Feasibility0
高难度，Agache（Arnault 家族）和 Red Bull 的子公司
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 License62
所有权=公司所有，许可=GDPR 敏感
Whether the company can legally license the data out — based on ownership and licensing complexity. - Corporate Independence50
Agache（Arnault 家族）和 Red Bull 的子公司
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，1 个近期外部信号 — 超出已货币化数据的专有数据
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 Audit83
✓ 良好目标 — Paris FC 是一家职业足球俱乐部，其核心业务不是数据，很可能作为其运营的副产品持有有价值的专有球员表现数据（传感器遥测）。问题：‘传感器遥测数据集’的存在和价值是假设的，并未在公开来源中明确确认；虽然该俱乐部现在是一家中小企业，但近期备受瞩目的投资（Arnault 家族、Red Bull）表明其正在快速增长，这可能会改变其分类。
- Deep Qualification80
✓ 通过 — 目标是一家职业足球俱乐部，本质上是数据持有者，其核心业务不是销售数据。虽然它可能为内部表现优化而生成有价值的运动员传感器遥测数据，但由于严格的 GDPR 法规和医疗隐私规则，对这些高度敏感的个人健康数据的商业化极不可能，这使得该机会具有投机性。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
IoT / sensor data
该俱乐部通过可穿戴传感器跟踪球员的生物识别数据和身体负荷，生成高分辨率的时间序列数据，这是构建预测性维护模型的核心资产。
business_records
Parisfc 维护详细的球迷购买和参与度客户记录，展示了对商业分析有价值的复杂数据管理实践。
Image collection
该组织拥有比赛和训练镜头的专有视频库，为计算机视觉分析提供了丰富的多模态层，可以与传感器遥测数据相关联。
Marketplace
Dataset details
Detailed schema & sample available on access request.
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Coverage
Scanned sources
Deliverable
Premium dataset report
Parisfc Sensor Telemetry — a Moderate sensor telemetry dataset (Time Series modality) in the other domain. Primary AI use-case: Predictive Maintenance. Market signal: Global sports analytics market size was valued at USD 3.72 Billion in 2023, projected to grow at a 23.6% CAGR (2023-2032) (source: Zion Market Research).. Investment score 63.6/100 (confidence 0.49). Recommended action: Data Sharing Agreement.
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