FreeTender

Paraguay tender market report, September 2026

Published 22 Oct 2026 · computed by FreeTender from 807 notices

Notices published
807
+3568% vs August 2026
Still open
14
at the time of this report
Median bid window
13 days
middle half: 8–16 days
With a stated value
2
0% of notices

Summary

In September 2026, FreeTender recorded 807 new procurement notices from buyers in Paraguay (+3568% on August 2026). The largest sector was Facility Management & Cleaning with 211 notices (26% of the total). Half of all notices gave bidders 13 days or less to respond. Wednesday was the busiest publishing day (25% of notices).

Notices by sector

Change is against August 2026.

How buyers tendered

  • Open tender789 notices
  • Contract award8 notices
  • Expression of interest4 notices
  • Request for quotation4 notices
  • Grant / funding call1 notices
  • Request for proposal1 notices

Publishing day

  • Monday97 notices
  • Tuesday160 notices
  • Wednesday198 notices
  • Thursday165 notices
  • Friday149 notices
  • Saturday37 notices
  • Sunday1 notices

Most active buyers in Paraguay

Stated values

2 of 807 notices stated an estimated value. Figures are in the currency the buyer used.

CurrencyPriced noticesMedianLargestTotal
USD278 thousand110 thousand156 thousand

Largest notices of the month

  1. Benchmarking advanced human resource management (HRM) in the public sector for capacity building in Paraguay: Lessons from Korea and other OECD countries · USD 110 thousand · closed
  2. Consulting for the development of a Digital Transformation Master Plan for the National Directorate of Intellectual Property (DINAPI) · USD 46 thousand · closed

Other months

Method: counts are notices first published in the month, by the buyer's country, across all sources FreeTender reads. Bid window means days from publication to the deadline. Coverage grows as we add sources, so part of any rise can be new coverage rather than new demand. You may quote these figures with a link to this page. The underlying rows are in our open dataset.