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United States Trade And Development Agency·Virginia

Nigeria: AFRIDATA Nigeria Data Center Feasibility Study

Closes 10/13/2026$150k – $300kRequest for Proposal
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Description

The U.S. Trade and Development Agency (USTDA) is seeking U.S. firms to conduct a feasibility study for a new data center in Nigeria under Activity No. 2026‑11007A. The study will evaluate technical, economic, regulatory, and site‑specific factors to determine the viability of establishing a high‑capacity data center that can support regional digital infrastructure needs. Interested firms must obtain the full RFP from the USTDA website and submit a proposal according to the agency’s instructions. • Scope: market analysis, power and cooling infrastructure assessment, site selection criteria, cost‑benefit analysis, risk assessment, and implementation roadmap. • Deliverables: comprehensive feasibility report, executive summary, presentation to USTDA stakeholders, and recommended next steps. • Eligibility: U.S.‑based firms with experience in data center planning, engineering, or large‑scale IT infrastructure projects. • Funding: USTDA will provide the study budget; firms are reimbursed for approved costs. • Submission: Access the RFP online; no specific deadline provided in the excerpt.

Attached files

The solicitation documents live at the source — open the bid source above to download them.

Key dates

Opened
9/17/2026
Closes
10/13/2026

Last updated

Details

Type
Request for Proposal
Industry
Consulting Services
NAICS
541512
Solicitation №
2026-11007A

Budget estimate

$150,000 – $300,000

Based on typical USTDA‑funded feasibility studies for large IT infrastructure projects, the budget is likely in the mid‑six‑figure range. A modest study (3‑4 months, limited field work) might be funded around $150,000, while a more extensive analysis (including multiple site visits, detailed cost modeling, and stakeholder workshops) could approach $300,000. Therefore the expected budget to the winning firm is roughly $150k–$300k, depending on scope depth and deliverable complexity.

AI estimate from the solicitation

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