Dataset opportunity
Simarco — 移动遥测数据集机会
由 Simarco 持有的中等移动遥测数据集，可用于预测性维护和异常检测。
Score
48
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)
全球预测性维护市场在 2025 年的估值为 136.5 亿美元，预计到 2034 年将达到 973.7 亿美元，复合年增长率为 24.30%（来源：Fortune Business Insights）。[1]
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.
- 📣Press / announcement
专注于数字化海关解决方案和英国脱欧相关数据处理
source ↗
Profile
Dataset profile
Type
移动遥测数据集
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（PII 审查）
Buyer persona
工业人工智能与维护优化供应商
Simarco 拥有全面的移动遥测数据集，该数据集由其公路、航空和海运部门的 `geo_data`、`iot_data` 和 `transaction_data` 的时间序列数据证据组成。这些丰富、多模态的数据非常适合开发预测性维护模型，使 AI 买家能够通过分析真实世界的运营模式、传感器读数和交易历史来预测设备和车辆故障。
该数据的价值在全球预测性维护市场中得到体现，该市场在 2025 年的估值为 136.5 亿美元，预计到 2034 年将增长到 973.7 亿美元，复合年增长率 (CAGR) 为 24.30%。[1] 虽然访问需要处理个人身份信息 (PII) 匿名化、数据孤岛和严格的海关合规性，但这种复杂性凸显了该数据集的稀有性和高战略价值。对于 AI 买家而言，克服这些挑战将解锁一项专有资产，从而在物流效率方面建立强大的竞争优势。⚠ 尽职调查（有价值的数据，可协商的访问权限）：包含需要匿名化的运输文件中的 PII（姓名/地址）；数据分布在公路、航空和海运部门；海关数据受严格的监管合规性约束。· 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 Simarco 拥有专有的多模态物流数据集，结合了其仓库运营的高频时间序列遥测数据以及丰富的地理空间和交易货运数据。这种独特的数据组合对于构建供应链预测性维护解决方案的工业 AI 供应商来说是一项关键资产。在一个预计到 2034 年将接近 1000 亿美元的市场中，该数据集为训练优化资产正常运行时间、减少停机时间并提高整体供应链速度的算法提供了一条直接途径。
See dimension details ↓- Dataset Specificity90
主导的 'iot_data'，移动行业，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 Demand88
需求由全球汽车预测性维护市场驱动，这是移动遥测数据的主要消费者，预计将从 2023 年的 220 亿美元增长到 2032 年的 1000 亿美元，**复合年增长率 (CAGR) 为 18.6%**。[1
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility0
PII/受监管
How legally easy the data is to obtain and use — open/API access scores high; PII or regulated data scores low. - Acquisition Feasibility0
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 License62
所有权=已拥有，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 个数据需求信号（1 种类型）
How actively the company invests in data, measured by its data-appetite signals (hires, products, APIs…). - Dormant Data Surplus92
盈余=高，5 个近期外部信号 — 已货币化的专有数据之外的数据
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 Audit67
⚠ 审查 — Simarco 是一家物流和货运公司，已提供数据中心服务，如客户门户，提供跟踪、报告和 API/EDI 集成，因此不适合，因为其核心业务已涉及销售情报。问题：公司核心服务包括提供数据可见性、报告和集成（EDI/API）的客户门户，这符合销售情报的定义。；公司网站明确提及“数字化赋能”和为客户提供
- Deep Qualification90
✓ 通过 — Simarco 是一家传统的物流服务提供商，其运营数据是副产品；它不销售数据，其复杂的数据所有权和监管环境为收购带来了重大障碍。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
press
- “La solution de gestion de flotte du groupe Bridgestone ajoute les marques Volkswagen à son portefeuille. Les clients de Webfleet auront dorénavant accès aux données du constructeur sans la pose de boîtier supplémentaire, et ce, pour les véhicules VW, VW VU, Audi, Skoda, Seat et Cupra.”
- “Le fournisseur d'équipements de lavage automobile compte une nouvelle installation sur le site d'un supermarché d'Erquy (Côtes-d’Armor). L’enseigne a récemment fait le choix du portique S6 Lavance by Aquarama afin de renforcer l’attractivité de son espace nettoyage et d’accompagner l’évolution des attentes de ses clients.”
- “<p>L’éditeur autrichien Alpega renforce son partenariat avec Wakeo, spécialiste français de la visibilité temps réel basée sur l’IA. Il s’agit de l’évolution d’un précédent accord signé en 2023 et portant sur l’intégration dans le TMS d’Alpega des données de visibilité fournies par Wakeo sur les flux complexes maritimes et aériens. Cette nouvelle étape, qualifiée désormais […]</p> <p>L'article <a href="https://supplychainmagazine.fr/alpega-et-wakeo-font-alliance-pour-combiner-leurs-offres/">Alpega et Wakeo font alliance pour combiner leurs offres</a> est apparu en premier sur <a href="ht”
Transaction data
该公司通过其海关清关服务产生大量表格数据，详细说明了对物流规划和风险评估模型有价值的贸易文件和商品代码。
Geospatial data
Simarco 捕获其货运网络中的运营数据，提供路线效率和承运商绩效指标，这些指标对于优化运输网络和预测运输时间至关重要。
IoT / sensor data
来自大规模仓储运营的专有时间序列数据跟踪资产移动频率和供应链速度，直接支持开发复杂的预测性维护和运营效率算法。
Marketplace
Dataset details
Geographic coverage
Global
Time range
Real-time
Update frequency
Real-time
Delivery
API
Formats
Time Series, JSON
License
One-time license for predictive maintenance model development and deployment.
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 proprietary, multi-modal telemetry (road, air, sea) and its direct applicability to the rapidly growing predictive maintenance market. The high rarity and real-time freshness justify a premium valuation.
Detailed schema & sample available on access request.
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Request access — we broker a secure deal room. Operator-reviewed, no automatic sharing.
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
Simarco Mobility Telemetry — a Moderate mobility telemetry dataset (Time Series modality) in the mobility domain. Primary AI use-case: Predictive Maintenance. Market signal: Global Predictive Maintenance market was valued at USD 13.65 billion in 2025 and is projected to reach USD 97.37 billion by 2034, at a CAGR of 24.30% (source: Fortune Business Insights). [1]. Investment score 48.0/100 (confidence 0.49). Recommended action: Data Sharing Agreement.
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