FreeTender

Colombia tender market report, August 2026

Published 22 Oct 2026 · computed by FreeTender from 75 notices

Notices published
75
Still open
9
at the time of this report
Median bid window
13 days
middle half: 10–20 days
With a stated value
1
1% of notices

Summary

In August 2026, FreeTender recorded 75 new procurement notices from buyers in Colombia. The largest sector was Financial & Professional Services with 21 notices (28% of the total). Half of all notices gave bidders 13 days or less to respond. Friday was the busiest publishing day (35% of notices).

Notices by sector

How buyers tendered

  • Request for proposal28 notices
  • Request for quotation18 notices
  • Expression of interest10 notices
  • Contract award8 notices
  • Open tender8 notices
  • Consultancy2 notices
  • Grant / funding call1 notices

Publishing day

  • Monday10 notices
  • Tuesday7 notices
  • Wednesday21 notices
  • Thursday9 notices
  • Friday26 notices
  • Saturday1 notices
  • Sunday1 notices

Most active buyers in Colombia

  • UNDP24 notices
  • ILO11 notices
  • FAO9 notices
  • IOM4 notices
  • UNIDO4 notices
  • UN Secretariat3 notices
  • United Nations Procurement Division3 notices
  • STATE, DEPARTMENT OF · STATE, DEPARTMENT OF · AMERICAN EMBASSY BOGOTA - NAS2 notices
  • Action Fund2 notices

Stated values

1 of 75 notices stated an estimated value. Figures are in the currency the buyer used.

CurrencyPriced noticesMedianLargestTotal
USD150 thousand50 thousand50 thousand

Largest notices of the month

  1. Consulting to design and implement an Institutional Strengthening Plan for the National Tourism Fund (FONTUR) of Colombia · USD 50 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.