Dataset opportunity
Dailydrivenevents — 移动活动数据集机会
Dailydrivenevents 持有的中等规模移动活动数据集，可用于预测和异常检测。
Score
66.8
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
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)
全球汽车数据管理市场将从 2025 年的 26.9 亿美元增长到 2030 年的 66.1 亿美元，复合年增长率为 19.69%。
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.
- ✨Signal
活动注册和票务系统
source ↗
Profile
Dataset profile
Type
移动活动数据集
Modality
时间序列
Sector
移动
Volume
中等
Freshness
实时
Rarity
高（专有）
Accessibility
受限
Legal
公司所有 — GDPR 敏感（个人身份信息审查）
Buyer persona
量化基金和需求预测人工智能团队
Dailydrivenevents 持有一个独特的移动活动数据集，该数据集根据其业务记录和活动流构建为时间序列数据。该数据集提供了对车辆参与度、出席模式和消费者参与度随时间变化的细致入微的洞察，使其在预测未来活动需求、后勤需求和新兴汽车趋势方面具有极高的价值。
该数据提供了对汽车数据管理市场的访问权限，该市场预计将从 2025 年的 26.9 亿美元增长到 2030 年的 66.1 亿美元，复合年增长率为 19.69%。[1] 虽然访问需要严格遵守 GDPR 关于个人数据的规定，并需要验证第三方平台的媒体所有权，但该数据集的稀有性以及对爱好者行为的直接洞察，为这个高增长市场中的人工智能驱动预测提供了显著的竞争优势。⚠ 尽职调查（有价值的数据，可协商访问）：汽车车主个人数据需要严格遵守 GDPR；数据可能存储在第三方票务或会员平台中；需要验证用户上传的车辆照片/媒体的所有权 · 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 Dailydrivenevents 拥有一个专有的、稀有度高的数据集，该数据集捕获了英国地区移动活动的真实车辆出席情况和爱好者偏好。这些细致的数据是量化基金和需求预测人工智能团队寻求信息优势以改进其模型的独特资产。它直接支持对全球汽车数据市场中汽车品牌趋势和消费者行为的预测，该市场预计到 2030 年将增长到 66.1 亿美元。
See dimension details ↓- 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 Independence90
独立
Whether the holder can decide alone — an independent company scores higher than a subsidiary of a large group. - Data Orientation39
1 数据需求信号（1 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 — 超出已货币化部分的专有数据
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. - Dataset Specificity78
占主导地位的“活动流”，行业移动，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 条证据
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
适合预测
How useful the data is for the target AI use-case — its fit for model training or fine-tuning. - Buyer Demand90
人工智能买家需求很高，这得益于在快速扩张的汽车数据市场中对预测分析的需求，该市场正以 19.69% 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 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 Feasibility44
低难度，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 条命中
How solid the proof is that the company holds this data — diversity of evidence types and number of hits. - ICP Audit100
✓ 良好目标 — 该公司的核心业务是组织区域性汽车活动，而不是销售数据；关于与会者、车辆和参展商的有价值数据是副产品，使其成为一个完美的休眠数据目标。[1, 2] 问题：最初的线索描述“移动活动数据集机会”具有误导性；该公司的网站和活动表明其业务是活动组织，
- Deep Qualification90
✓ 通过 — 目标是一家组织汽车活动的持有人，其副产品数据（与会者/车辆信息）符合机会。虽然用户上传照片的数据所有权不明确且 GDPR 合规性至关重要，但没有任何合同条款阻止转售，使其成为一个可行但敏感的机会。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Event streams
这是一个时间序列数据集，详细说明了区域活动中的特定车辆品牌、型号和年份，为品牌级别的需求预测提供了直接的地面真实信号。
business_records
这些文件代表了来自参与式汽车社区的用户档案，提供了关于爱好者偏好的有价值的定性数据，以丰富定量分析。
Image collection
这是一个来自源活动的大量高质量图像集合，可用于训练计算机视觉模型以进行车辆识别和趋势分析。
Marketplace
Dataset details
Detailed schema & sample available on access request.
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Coverage
Scanned sources
Deliverable
Premium dataset report
Dailydrivenevents Mobility Event — a Moderate mobility event dataset (Time Series modality) in the mobility domain. Primary AI use-case: Forecasting. Market signal: Global Automotive Data Management Market to grow from $2.69B in 2025 to $6.61B by 2030, CAGR 19.69% (source: Mordor Intelligence). [1]. Investment score 66.8/100 (confidence 0.49). Recommended action: Data Sharing Agreement.
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