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The meta-analysis · October 2026

Agentic AI in procurement 2026/27

What Gartner, McKinsey, Bain, Hackett & Co. really say – and what matters for procurement organizations in companies with €100m+ revenue.

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Based on

  • Gartner
  • McKinsey
  • Bain
  • The Hackett Group
  • Oliver Wyman
  • BCG/HBR
  • Deloitte
  • Procurement Leaders
  • EFESO
  • ProcureCon
Cover of the meta-analysis “Agentic AI in Procurement 2026/27”

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PDF · 17 pages · English and German

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In one sentence

AI in procurement has moved from experiment to operating decision – if you have to deliver in 2027, the question is no longer whether, but where, how deep and with which guardrails.

Executive summary

Three of six findings.

The other three – and what follows for your procurement – are in the report. The report closes with five concrete steps for your 2027 budget round – from the first pilot to the question of who owns the knowledge it creates.

  1. BCG/HBR

    Best suited, least used

    9% of organizations use agentic AI in procurement – software development: 35%.

    • Software development35%
    • IT operations31%
    • Marketing26%
    • Procurement9%
  2. Gartner

    The market is exploding anyway

    $53bn spending on supply chain software with agentic AI by 2030 – with more than 40% of projects expected to be canceled by the end of 2027.

    < 22025
    532030
  3. Procurement Leaders

    The bottleneck is the organization

    18% of CPOs credit their teams with strong digital skills – the teams rate themselves at 43%. The barriers are almost entirely organizational.

    • Teams' self-image43%
    • CPOs' view18%

Foreword

“Between annual reviews, escalations and your suppliers' third round of price increases, nobody reads eleven studies.

We did.”

Heiko SchwarzCEO & Co-Founder, Elevatry · 25 years in strategic procurement

After reading

Which finding matches your procurement? Let's talk it through.

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