Dataset opportunity
Gofor — 移动遥测数据集机会
由 Gofor 持有的大型移动遥测数据集，可用于预测性维护和异常检测。
Score
71.5
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
获取
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
全球车辆预测性维护市场在2024年估计为46.6亿美元，预计到2034年将达到233.9亿美元，复合年增长率为17.5%（2025-2034年）。更广泛的物联网车队管理市场在2024年达到145亿美元，预计到2032年将超过528亿美元，复合年增长率为17.5%。
Recent dated external facts that triggered this opportunity — auditable provenance.
- 📰press2026-06-05
CDL fight reignites as DACA recipient petitions FMCSA
freightwaves.com ↗ - 📰press2026-06-05
Up, then down: drop in trucking jobs in May mostly wipes out gain from April
freightwaves.com ↗ - 📰press2026-06-05
Canada Post parcel volumes decline 17.2% in Q1
freightwaves.com ↗ - 📰press2026-06-05
Can AI gains give alternative delivery providers an edge?
supplychaindive.com ↗ - 📰press2026-06-05
EEOC moves to axe EEO-1 reporting
supplychaindive.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.
Profile
Dataset profile
Type
移动遥测数据集
Modality
时间序列
Sector
移动出行
Volume
大
Freshness
实时
Rarity
高（专有）
Accessibility
受限
Legal
公司所有 — 许可权待澄清 · PII/受监管
Buyer persona
工业人工智能与维护优化供应商
Gofor 拥有丰富的出行遥测数据集，以时间序列模式呈现，涵盖了其 B2B 配送业务的数据量、地理数据、物联网数据和交易数据。这个全面的数据流非常适合预测性维护应用，能够预测设备故障并优化商用车辆的车辆正常运行时间。
尽管数据源自签约司机，并可能与合作伙伴共享，但其重点是 B2B 配送，因此它提供了关于车队管理绩效的聚合、有价值的见解。全球车辆预测性维护市场在2024 年价值 46.6 亿美元，预计到2034 年将达到 233.9 亿美元，复合年增长率为 17.5%，这凸显了对此类数据的巨大需求，使其成为降低运营成本和提高效率的抢手货。⚠ 尽职调查（有价值的数据，可协商访问）：数据来自签约司机网络，并非直接雇佣；数据可能与零售/建筑合作伙伴共享；重点是 B2B 配送，因此数据可能按公司级别聚合，而非个人级别。· 公司：独立。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
Gofor 持有高度专有的出行遥测数据集，主要是时间序列数据，直接来源于其活跃的最后一英里物流运营。这些丰富的数据，辅以来自超过 200,000 次配送的广泛地理空间和交易记录，为预测性维护模型提供了无与伦比的基础。对于工业人工智能和维护优化供应商而言，该数据集在快速增长的物联网车队管理和车辆预测性维护市场中提供了关键优势，预计这两个市场将分别达到 528 亿美元和 233.9 亿美元，从而在提高运营效率和资产寿命方面取得重大进展。
See dimension details ↓- Dataset Specificity90
主导的'物联网数据'，出行行业，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 Volume74
4 个证据点，明确提及数据量
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 Demand90
全球人工智能（AI）在出行市场的应用，包括预测性维护应用，并依赖遥测数据，预计从 2026 年到 2035 年的复合年增长率（CAGR）为 44.6%。
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 个点
How solid the proof is that the company holds this data — diversity of evidence types and number of hits. - Right to License70
所有权=已拥有，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 个数据需求信号（0 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 Audit100
✓ 良好目标 — Gofor 是一家最后一英里配送软件和服务公司，其运营会产生有价值的出行遥测数据，并且似乎不以销售这些数据或衍生智能作为其核心业务。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
IoT / sensor data
这些证据证实 Gofor 从其车队收集实时遥测数据，提供关于车辆性能和使用情况的精细时间序列数据，这对于专注于出行领域预测性维护和运营优化的 AI 买家至关重要。
Geospatial data
这表明 Gofor 拥有与其广泛的最后一英里配送运营相关的详细地理空间数据，包括路线和配送点，这对于理解车辆利用模式和对车队管理及维护规划至关重要的环境因素非常有价值。
Transaction data
这突显了 Gofor 的显著运营规模，已完成超过 200,000 次配送交易并实现可观的收入增长，为车队活动和需求提供了关键背景，为 AI 解决方案的维护调度和资源分配提供了信息。
Data-volume signal
这证实了 Gofor 快速增长的运营产生了大量数据量，证据是超过 200,000 次配送和 500% 的收入增长，这向 AI 买家保证了用于训练和验证出行领域大规模机器学习模型的强大且不断增长的数据集。
Marketplace
Dataset details
Geographic coverage
Global (inferred from market read)
Time range
Real-time (rolling)
Update frequency
Real-time
Delivery
API
Formats
Time Series, JSON
License
One-time license for predictive maintenance and fleet management use cases. Usage restrictions may apply regarding redistribution and competitive analysis.
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 mobility telemetry dataset offers high value for predictive maintenance in the rapidly growing commercial vehicle sector. Its real-time nature and large volume of detailed operational data, including geo-data, IoT, and transaction records, directly address a significant market demand for fleet optimization and 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
Gofor Mobility Telemetry — a Large mobility telemetry dataset (Time Series modality) in the mobility domain. Primary AI use-case: Predictive Maintenance. Market signal: The global predictive maintenance for vehicles market was estimated at $4.66 billion in 2024 and is projected to reach $23.39 billion by 2034, growing at a CAGR of 17.5% (2025-2034). The broader IoT fleet management market reached $14.5 billion in 2024 and is projected to exceed $52.8 billion by 2032, growing at a 17.5% CAGR.. Investment score 71.5/100 (confidence 0.56). Recommended action: Acquire.
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