FreeTender

Iraq tender market report, August 2026

Published 22 Oct 2026 · computed by FreeTender from 88 notices

Notices published
88
Still open
3
at the time of this report
Median bid window
27 days
middle half: 16–40 days
With a stated value
25
28% of notices

Summary

In August 2026, FreeTender recorded 88 new procurement notices from buyers in Iraq. The largest sector was Healthcare & Pharma with 16 notices (18% of the total). Half of all notices gave bidders 27 days or less to respond. Monday was the busiest publishing day (20% of notices).

Notices by sector

How buyers tendered

  • Open tender60 notices
  • Consultancy11 notices
  • Request for quotation10 notices
  • Grant / funding call3 notices
  • Expression of interest2 notices
  • Request for proposal2 notices

Publishing day

  • Monday18 notices
  • Tuesday18 notices
  • Wednesday13 notices
  • Thursday6 notices
  • Friday6 notices
  • Saturday13 notices
  • Sunday14 notices

Most active buyers in Iraq

Stated values

25 of 88 notices stated an estimated value. Figures are in the currency the buyer used.

CurrencyPriced noticesMedianLargestTotal
IQD17390.0 million33.4 billion50.4 billion
USD81.2 million1.5 billion1.5 billion

Largest notices of the month

  1. انشاء مستشفى سعة (50) سرير في بغداد - مدينة الصدر · IQD 33.4 billion · closed
  2. تجهيز انبوب الغاز الجاف قطر (24) عقدة المغذي لمحطة كهرباء الخيرات بطول (15 كم) · IQD 7.8 billion · closed
  3. انشاء ابنية كلية الشرطة عدد / 2 مع مطعم دورة (74-ب) مدة الصيانة 365 يوم · IQD 2.2 billion · closed
  4. تجهيز أنابيب المبرد الرئيسي · IQD 1.7 billion · closed
  5. تجهيز مواد كيمياوية لوحدات تحلية المياه · IQD 750.0 million · 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.