Dataset opportunity
Ctlogistics — 数据目录/市场数据集机会
由 Ctlogistics 持有的大型数据目录/市场数据集，可用于合成数据和微调。
Score
71.1
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
71%
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
全球合成数据生成市场在2026年估值为7.9134亿美元，预计到2034年将达到69.1亿美元，复合年增长率为31.10%（2026-2034年）。用于物流AI的合成数据市场在2024年为5.12亿美元，预计到2033年将达到34.2亿美元，复合年增长率为23.5%。全球多模态AI市场在2025年估值为25.1亿美元，预计到2034年将达到423.8亿美元，复合年增长率为36.92%（2025-2034年）。
Recent dated external facts that triggered this opportunity — auditable provenance.
- 📰press2026-06-03
Old Dominion’s May update shows an improving LTL market
freightwaves.com ↗ - 📰press2026-06-03
Manufacturing’s recovery broadens as industrial demand leads the freight upcycle
freightwaves.com ↗ - 📰press2026-06-03
Target debuts $367M food distribution center in Colorado
freightwaves.com ↗ - 📰press2026-06-03
FreightWaves Today Debuts as Spot Rates Hit a Record
freightwaves.com ↗ - 📰press2026-06-02
Target launches $367M food distribution center in Colorado
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.
Concrete evidence this company actively cares about data — why it's ripe for the deal room.
Profile
Dataset profile
Type
数据目录/市场数据集
Modality
多模态
Sector
移动出行
Volume
大
Freshness
实时
Rarity
中等
Accessibility
受限
Legal
混合所有权 — 许可权待明确 · 个人身份信息/受监管
Buyer persona
合成数据和数据市场供应商
Ctlogistics 拥有一个多模态数据目录/市场数据集，其中包含来自移动出行领域的丰富运营数据。这包括关键的交易数据，例如客户拥有的货运发票和提货单，以及来自其专有软件和数据库的洞察。这种多样化和细粒度的数据对于生成合成数据非常有价值，它能够创建模仿真实世界特征的人工数据集，同时不暴露原始的业务敏感信息。
对此类数据的需求巨大，这得益于快速扩张的合成数据市场，预计到2034年将达到69.1亿美元，复合年增长率为31.10%。具体而言，用于物流AI的合成数据市场规模在2024年为5.12亿美元，预计到2033年将达到34.2亿美元，复合年增长率为23.5%。尽管获取客户拥有的货运发票和专有软件和数据库信息存在复杂性，但利用这种多模态数据进行AI/ML模型训练同时确保隐私保护的能力使其具有极高的价值。⚠ 尽职调查（有价值的数据，可协商访问）：数据包括客户拥有的货运发票和提货单；专有软件和数据库是其服务产品不可或缺的一部分；货运数据中可能包含业务敏感信息。· 企业性质：独立。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
Ctlogistics 拥有大量且多样化的物流数据，以每年审计数百万份货运账单的可验证交易数据为基础。这份丰富的多模态数据集为合成数据生成和多模态AI供应商提供了难得的机会，其市场规模预计将达到数十亿美元。其真实世界的保真度和运营深度使其成为创建高质量合成数据的理想来源，这对于训练先进的AI模型和推动快速扩张的物流AI领域的创新至关重要。
See dimension details ↓- Dataset Specificity78
主导的“数据目录”，移动出行领域，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 Rarity46
专有领域数据（开放会降低稀有性）
How scarce and proprietary the data is. Unique domain data scores high; openly available data lowers it. - Dataset Volume88
9条证据命中
Apparent scale of the data, inferred from the number of evidence hits and any explicit volume mentions. - Dataset Freshness82
实时/流式
How current the data stays — real-time/streaming scores highest, periodic dumps lower. - Training Value64
适用于合成数据
How useful the data is for the target AI use-case — its fit for model training or fine-tuning. - Buyer Demand95
AI生成的合成乘客数据市场对于移动出行领域的AI买家至关重要，预计在2024年至2034年间将以38.7%的复合年增长率（CAGR）增长。
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility22
开放/API访问
How legally easy the data is to obtain and use — open/API access scores high; PII or regulated data scores low. - Acquisition Feasibility48
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 Strength98
5种证据类型，9条命中
How solid the proof is that the company holds this data — diversity of evidence types and number of hits. - Right to License36
所有权=混合，许可=权利不明
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 Orientation67
3个数据需求信号（2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 Audit75
⚠ 审查 — CT Logistics 的核心业务包括销售从其运营数据中提取的商业智能和数据分析服务，这使得他们成为不合适的目标，因为他们已经将其数据和洞察货币化。问题：CT Logistics 明确提供“商业智能”和“数据分析”服务，提供“定制化管理信息”和“数据驱动的洞察”；他们提供“Web工具”，例如“Qlik Analytics”、“Data Grabber”和“Rate Grabber”，这些工具允许客户
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Data catalog / marketplace
此证据表明其拥有多样化的数据资产综合集合，证实了持有者拥有对于理解市场动态和优化物流领域投资回报率至关重要的多模态信息。
CSV files
这表明持有者能够处理和管理来自各种标准业务文档格式（包括 CSV 和 EDI）的结构化数据，这对于货运操作中的数据集成和分析至关重要。
Knowledge base / docs
这代表了详细说明物流流程、文档和验证规则的运营文本数据，为流程自动化和增强AI对行业工作流程的理解提供了宝贵见解。
Event streams
这表示可以访问反映实时或近实时运营事件的时间序列数据，这对于复杂物流环境中的动态决策和预测建模至关重要。
Transaction data
这是高容量、真实世界表格数据的有力证据，这些数据来源于审计数百万份货运账单，为财务分析和生成用于物流AI的真实合成数据提供了坚实基础。
Marketplace
Dataset details
Geographic coverage
Global
Time range
Real-time
Update frequency
Real-time
Delivery
API
Formats
JSON, CSV
License
One-time license for synthetic data generation and multimodal AI model training, with restrictions on redistribution of raw data.
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 multimodal dataset, rich in transactional logistics data, is highly valuable for synthetic data generation and multimodal AI applications, driven by strong market growth in these sectors. Its operational depth and verifiable transaction data provide a strong foundation for creating realistic synthetic datasets.
Detailed schema & sample available on access request.
Want this data?
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
Ctlogistics Data Catalog / Marketplace — a Large data catalog / marketplace dataset (Multimodal modality) in the mobility domain. Primary AI use-case: Synthetic Data. Market signal: The global Synthetic Data Generation market is valued at $791.34 million in 2026, projected to reach $6.91 billion by 2034 with a CAGR of 31.10% (2026-2034). The Synthetic Data for Logistics AI market was $512 million in 2024, forecasted to reach $3.42 billion by 2033 with a CAGR of 23.5%. The global Multimodal AI market is estimated at $2.51 billion in 2025, projected to reach $42.38 billion by 2034 with a CAGR of 36.92% (2025-2034).. Investment score 71.1/100 (confidence 0.71). Recommended action: Data Sharing Agreement.
From the marketplace
Explore live data opportunities
Filatidrago — 工业运营数据集机会
View opportunity →工业Scale Energy — 维护日志数据集机会
View opportunity →出行Lufapak — 工业运营数据集机会
View opportunity →