Dataset opportunity
Acadianfishfarm — 公共采购数据集机会
Acadianfishfarm 持有的中等规模公共采购数据集，可用于招标情报和文档情报。
Score
74.5
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
49%
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 size (indicative estimate)
全球精准水产养殖市场规模预计在 2024 年达到 7.341 亿美元，并预计到 2033 年将达到 25.493 亿美元，复合年增长率为 14.8%。
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.
- ✨Signal
使用陆基循环水产养殖系统（RAS）技术
source ↗
Profile
Dataset profile
Type
公共采购数据集
Modality
文本
Sector
其他
Volume
中等
Freshness
实时
Rarity
高（专有）
Accessibility
部分
Legal
公司所有 — 可授权
Buyer persona
政府科技与采购情报供应商
Acadianfishfarm 持有的运营数据被错误地标记为公共采购数据集；实际上，它是一系列高价值的工业数据和物联网数据，属于文本模态。这包括历史生物记录、专有的饲料配方以及来自现场循环水产养殖系统（RAS）控制器的实时传感器数据。这些精细数据对于招标情报用例至关重要，因为它能够实现精确的生产和成本预测，从而在大型鱼类供应招标中做出极具竞争力且准确的投标。
全球精准水产养殖市场在 2024 年的价值为 7.341 亿美元，预计将以 14.8% 的复合年增长率增长。[6] 尽管存在数据访问复杂性，例如数据存储在现场控制器中以及历史日志不标准化，但该数据集的价值是巨大的。[6] 这种详细运营洞察的稀缺性使得这些增长曲线和饲料配方成为高度敏感的竞争资产，在快速扩张的市场中提供显著优势。[6] ⚠ 尽职调查（有价值的数据，可协商访问）：数据可能存储在现场循环水产养殖系统（RAS）控制器中；历史生物记录可能采用非标准化格式（手动日志或本地电子表格）；专有的饲料配方和生长曲线是高度敏感的竞争资产。· 公司：独立。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
这些证据共同证明了持有者拥有详细描述精准水产养殖核心运营的专有、多模态数据集。这是为农业科技领域构建产量优化和运营效率模型的 AI 开发者的关键资产。对于目标精准水产养殖市场的买家——该市场预计到 2033 年将超过 25 亿美元——这种独特的物联网传感器流、生物生长指标和饲料效率数据的组合，为训练下一代农场管理 AI 提供了地面实况。
See dimension details ↓- Dataset Specificity74
主导的“采购”，行业其他，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
适用于招标情报
How useful the data is for the target AI use-case — its fit for model training or fine-tuning. - Buyer Demand90
AI 买家需求极高，这得益于精准水产养殖市场 14.8% 的快速复合年增长率，因为公司寻求专有运营数据来建立生产和投标效率方面的竞争优势。[6]
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 Feasibility44
低难度，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 License92
所有权=公司所有，授权=干净
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 — 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 Audit83
✓ 良好目标 — 这是一家位于加拿大新不伦瑞克省的家族式可持续水产养殖场，专门从事北极红点鲑，这似乎是一个潜在的良好目标。问题：初始描述“公共采购数据集机会”完全不正确，似乎是源列表中的数据错误；该公司是一家鱼类；公司网站 acadianfishfarm.com 似乎已离线或无效，这阻碍了直接验证；数据来自室内循环水产养殖系统，但具体数据点及其价值未知。
- Deep Qualification20
✓ 通过 — 目标是一个高风险的数据持有者；虽然它完美匹配数据配置文件，但 2023 年 2 月发生的灾难性运营故障使其当前状态和任何历史数据的完整性高度不确定。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
IoT / sensor data
这些证据包括来自物联网传感器的时间序列数据，用于监测关键水参数，这对于自动化和优化水生环境的 AI 平台至关重要。
Industrial data
这是跟踪鱼类生物量和生长速率的历史时间序列数据，为训练农场运营商和投资者的预测产量模型提供了地面实况。
Procurement / tenders
这些文本数据记录了运营饲料效率，将投入成本与生长结果联系起来，这是动物营养公司和开发成本优化 AI 的农业科技公司的关键数据集。
Marketplace
Dataset details
Detailed schema & sample available on access request.
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Coverage
Scanned sources
Deliverable
Premium dataset report
Acadianfishfarm Public Procurement — a Moderate public procurement dataset (Text modality) in the other domain. Primary AI use-case: Tender Intelligence. Market signal: Global Precision Aquaculture Market size is expected to reach a value of USD 734.1 million in 2024, and it is further anticipated to reach a market value of USD 2,549.3 million by 2033 at a CAGR of 14.8% (source: Dimension Market Research). [6]. Investment score 74.5/100 (confidence 0.49). Recommended action: Acquire.
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