Dataset opportunity
Gobolt — 移动遥测数据集机会
Gobolt 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
71.8
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
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)
全球商用车遥测市场 = 2024 年为 243 亿美元，复合年增长率为 12.9%（来源：Precedence Research）
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.
- 🧑💻Hiring a data role
积极招聘技术和工程职位以构建供应链网络
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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
混合所有权 — GDPR 敏感（PII 审查）
Buyer persona
工业人工智能与维护优化供应商
Gobolt 持有一个全面的移动遥测数据集，结构为时间序列数据，整合了地理数据、工业车队运营数据、物联网传感器数据和交易记录。这种细粒度的多模态数据专门用于开发先进的预测性维护模型，能够预测车辆部件故障并优化复杂的维护计划。
全球商用车远程信息处理市场代表着一个巨大且快速增长的机会，2024 年市场价值为243 亿美元，预计复合年增长率为 12.9%。[1] 虽然访问此数据集需要克服某些复杂性，例如对最后一英里交付日志中的 PII 进行严格匿名化以及与商家共同拥有货运数据的可能性，但其价值是巨大的。将可持续性和碳排放数据作为一项关键的次要资产，进一步增强了其对专注于效率和 ESG 目标的 AI 买家的战略价值。⚠ 尽职调查（有价值的数据，可协商的访问权限）：最后一英里交付数据包含 PII（姓名、地址），需要严格匿名化；车队遥测数据是专有的，但特定货运数据可能涉及商家共同拥有；可持续性和碳排放数据是一项关键的次要资产。· 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 Gobolt 拥有其车队在最后一英里交付运营过程中生成的专有时间序列数据集。这种稀有的遥测数据是复杂预测性维护模型的直接输入，是工业 AI 供应商寻求优化车队正常运行时间和降低运营成本的关键需求。在预计到 2024 年将超过 240 亿美元的商用车远程信息处理市场中，该数据集为快速增长的电动汽车物流领域构建下一代 AI 解决方案提供了独特的资产。
See dimension details ↓- Dataset Specificity100
主导的'iot_data'，移动出行行业，4 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 Rarity94
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 Value94
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
AI 买家需求旺盛，这得益于商用车远程信息处理市场的显著增长（复合年增长率为 12.9%），因为这些数据对于开发节省成本的预测性维护应用至关重要。[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 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 License28
所有权=混合，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 — 超出已货币化的专有数据
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 Audit92
✓ 良好目标 — Gobolt 是一个强有力的目标，因为其核心业务是第三方物流，产生了宝贵的移动出行和履约数据副产品，用于运营可见性但未单独出售。[1, 3] 问题：该公司技术先进，已作为其服务的一部分向客户提供数据可见性和 API；数据并非完全'休眠'，但并非b；初步搜索结果可能与一家同名印度公司（gobolt.in）混淆。
- Deep Qualification90
⚠ 需要审查 — GoBolt 是一家 3PL 提供商，作为其核心业务的副产品，拥有有价值的专有移动出行和物流数据；它不销售这些数据。该数据集是合理的，并且与其活动一致，但由于与商家的混合数据所有权以及敏感数据的存在，访问权限很复杂 [许可受限]
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
press
- “<p>Chez le concepteur et fabricant italien de solutions de capture automatique de données et d’automatisation industrielle Datalogic, les gammes de terminaux Skorpio et Falcon accueillent deux petits nouveaux terminaux mobiles, avec connectivité 5G et WiFi6. Avec son design ergonomique, son clavier de 48 touches et son format compact de type pistolet (avec poignée amovible), le […]</p> <p>L'article <a href="https://supplychainmagazine.fr/datalogic-fait-evoluer-ses-gammes-de-terminaux-skorpio-et-falcon/">Datalogic fait évoluer ses gammes de terminaux Skorpio et Falcon</a> est apparu en pr”
- “<p>Some carriers see it as a practical tool to keep cash flow moving. Others associate it with high costs, confusing agreements, chargebacks, or bad experiences with companies that were not clear from the beginning. And that is the real issue. In many cases, the problem is not factoring itself. The problem is how factoring has […]</p> <p>The post <a href="https://www.freightwaves.com/news/demystifying-factoring-how-it-can-become-a-real-business-tool-for-carriers">Demystifying Factoring: How It Can Become a Real Business Tool for Carriers</a> appeared first on <a href="https://www.freight”
- “<p>Container spot rates from China to the US West Coast have surged over 300% from March to June. FreightWaves' Craig Fuller breaks down why this isn't a demand-driven surge, but a reflection of concentrated power among international ocean carriers. Discover how foreign-owned shipping lines operate as a cartel, manipulating capacity and impacting US businesses. Plus, get insights on the domestic trucking market's holiday capacity crunch and how RXO provides crucial support.</p> <p>The post <a href="https://www.freightwaves.com/news/container-shipping-why-rates-are-skyrocketing-its-not-demand">”
IoT / sensor data
这证实了从电动配送车队收集专有物联网数据，这是训练先进预测性维护算法的关键资产。
Geospatial data
这表明存在用于路线优化的表格地理空间数据，为分析不同地区车辆性能和磨损模式提供了关键背景。
Transaction data
这指向详细说明履约和最后一英里交付操作的表格交易数据，有助于将车辆遥测数据与特定的商业活动和有效载荷联系起来。
Industrial data
这证实了收集了专注于其可持续物流车队运营和环境性能的时间序列工业数据，对于模拟电动汽车特定部件故障特别有价值。
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 developing and deploying predictive maintenance models. Usage restrictions may apply to data redistribution.
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 proprietary, high-rarity time-series telemetry dataset from electric commercial vehicles is highly valuable for predictive maintenance in the rapidly growing $24.3B global commercial vehicle telematics market. Demand is driven by industrial AI vendors seeking to optimize fleet uptime.
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
Gobolt Mobility Telemetry — a Moderate mobility telemetry dataset (Time Series modality) in the mobility domain. Primary AI use-case: Predictive Maintenance. Market signal: Global Commercial Vehicle Telematics market = $24.3B in 2024, CAGR 12.9% (source: Precedence Research). Investment score 71.8/100 (confidence 0.56). Recommended action: Data Sharing Agreement.
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