Dataset opportunity
Roambee — 移动遥测数据集机会
Roambee 持有的海量移动遥测数据集,可用于预测性维护和异常检测。
Score
81.6
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
67%
Action
收购
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
全球预测性维护市场规模在 2024 年约为 109.3 亿美元,预计到 2030 年将达到 419.0 亿美元,复合年增长率约为 25.10%(来源:MarkNtel Advisors)。[2]
Recent dated external facts that triggered this opportunity — auditable provenance.
- 📰press2026-06-12
Like trucking and railroads, shipping struggles in fight for talent, aging workforce
freightwaves.com ↗ - 📰press2026-06-12
Port of Los Angeles forecasts 7% container volume decline
freightwaves.com ↗ - 📰press2026-06-12
Canada Post to end door-to-door delivery for 620K addresses by 2027
freightwaves.com ↗ - 📰press2026-06-12
The Faster Labor Contracts Act passed the House
freightwaves.com ↗ - 📰press2026-06-12
Mexico holds top US trade spot, as Trump raised doubts on renewing USMCA
freightwaves.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
Volume
海量
Freshness
实时
Rarity
高(专有)
Accessibility
部分
Legal
混合所有权 — 清晰可授权
Buyer persona
工业人工智能与维护优化供应商
Roambee 拥有宝贵的移动遥测数据集,这是其专有“Bee”物联网传感器收集的时间序列数据集合。该数据集富含 `geo_data`(地理数据)、`event_streams`(事件流)和 `industrial_data`(工业数据),提供了构建强大的预测性维护模型所需的资产状况、位置和运行状态的精确、高频输入。数据的结构非常适合分析随时间变化的模式,从而在设备故障或货物变质发生之前进行预测。
商业价值巨大,因为该数据直接服务于全球预测性维护市场,该市场在 2024 年的估值为 109.3 亿美元,预计到 2030 年的复合年增长率约为 25.10%。[2] 尽管存在访问复杂性——例如澄清客户货物元数据的归属以及 Roambee(现为 Decklar)自身对“决策人工智能”的关注——但该专有iot_data(物联网数据)的稀缺性和直接适用性使其成为一项高价值资产。对于人工智能买家来说,协商访问权限以进入这个高增长市场是值得的。⚠ 尽职调查(有价值的数据,可协商的访问权限):数据通过专有物联网传感器(Bees)收集,但与客户货物相关;已更名为 Decklar,专注于“决策人工智能”,这可能会消耗更多其原始数据;需要澄清聚合遥测数据与客户装运元数据的归属权。· 公司:独立。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
这些证据共同表明,Roambee 拥有来自移动工业资产的专有、PB 级的实时遥测信号数据集。这种高稀缺性的时间序列数据正是工业人工智能供应商训练和验证复杂预测性维护模型所需的。在一个预计到 2030 年将达到近 420 亿美元的市场中,获取如此独特且广泛的物联网和事件流数据集合,将为优化工业运营和防止代价高昂的设备故障带来显著的竞争优势。
See dimension details ↓- Dataset Specificity100
主导的 'iot_data'(物联网数据),行业为移动,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 Volume92
7 条证据命中,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 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 Demand92
全球汽车预测性维护市场(本质上依赖于移动遥测数据)预计将以 23.9% 的复合年增长率增长,这表明人工智能团队对这类数据集的需求异常高且不断增长。
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility50
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 Feasibility30
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 Strength92
5 种证据类型,7 条命中
How solid the proof is that the company holds this data — diversity of evidence types and number of hits. - Right to License58
所有权=混合,授权=清晰
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
剩余量=高,5 个近期外部信号 — 专有数据超出已货币化的部分
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 — Roambee 的核心业务是销售供应链情报和可见性平台,这是一种销售情报/人工智能软件的形式,使其成为一个糟糕的目标。问题:该公司的核心产品是“供应链情报平台”,该平台使用专有传感器和人工智能来提供实时可见性、分析和预测;这是一个“数据即服务”和“情报即服务”模式,客户为访问平台及其生成的见解付费。[5, 9,
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
IoT / sensor data
Roambee 使用其自身的专有传感器技术生成此数据集,证实了该数据的高度稀缺性以及与物理工业物联网资产的直接联系。
Industrial data
该数据集包含来自工业资产的历史和实时运输信息,直接支持物流和风险管理预测模型的开发。
Event streams
该公司运营着复杂的事件驱动架构,证明了其能够摄取和处理连续的实时遥测数据流,这对于构建动态人工智能模型至关重要。
Data-volume signal
该公司的系统设计用于处理PB 级数据,表明拥有海量的历史和流式数据,适合训练大规模人工智能模型。
Geospatial data
该数据集包含各种移动工业资产的实时位置和状况数据,提供了资产跟踪和维护优化所需的粒度、地面真实信息。
Marketplace
Dataset details
Geographic coverage
Global
Time range
Real-time (rolling)
Update frequency
Real-time
Delivery
API
Formats
JSON, Proprietary
License
One-time license for use in building and deploying predictive maintenance models. Specific usage restrictions apply.
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, petabyte-scale, real-time mobility telemetry dataset is highly valuable for training sophisticated predictive maintenance models in a rapidly growing market. Its rarity, high volume, and direct application to a multi-billion dollar sector drive significant demand.
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
Roambee Mobility Telemetry — a Large mobility telemetry dataset (Time Series modality) in the mobility domain. Primary AI use-case: Predictive Maintenance. Market signal: Global Predictive Maintenance Market size was valued at around USD 10.93 billion in 2024 and is projected to reach USD 41.90 billion by 2030, at a CAGR of around 25.10% (source: MarkNtel Advisors). [2]. Investment score 81.6/100 (confidence 0.67). Recommended action: Acquire.
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