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AI Procurement by Japan's Public Sector 2026

日本語Data as of 2026-10-10

How much AI is Japan's public sector actually buying? We pulled every procurement notice with “AI” in the title from the Public Procurement Information Portal (官公需情報ポータルサイト, kkj.go.jp), run by Japan's Small and Medium Enterprise Agency, removed unrelated hits, and counted the rest by buyer, prefecture, month and purpose. This page is the English edition of our Japanese report; the figures are generated from the same data.

Period: notices published 2026-02-01 to 2026-10-10•Notices: 471•Source: kkj.go.jp (public data)

Key figures

  1. Japan's central government, local governments, universities and research institutes published 471 AI-related procurement notices from 2026-02-01 to 2026-10-10 (AI PICKS analysis of the government's public procurement portal).#

  2. According to AI PICKS (471 AI-related procurement notices on Japan's public procurement portal, published 2026-02-01 to 2026-10-10), 52 notices (11%) name generative AI in the title.#

  3. According to AI PICKS (471 AI-related procurement notices on Japan's public procurement portal, published 2026-02-01 to 2026-10-10), 48% (225 notices) are for introducing AI systems or services.#

  4. According to AI PICKS (471 AI-related procurement notices on Japan's public procurement portal, published 2026-02-01 to 2026-10-10), 26 notices (6%) are for AI training of public-sector staff.#

  5. According to AI PICKS (471 AI-related procurement notices on Japan's public procurement portal, published 2026-02-01 to 2026-10-10), the most common type of buyer is local governments, with 32% of notices (152).#

  6. According to AI PICKS (471 AI-related procurement notices on Japan's public procurement portal, published 2026-02-01 to 2026-10-10), Tokyo has the most notices: 199 (42%).#

Summary

471
AI-related notices
52
Name generative AI
225
AI systems and services
26
AI training

What the notices are for

AI systems and services
AI software, chatbots, analytics and other systems225 (48%)
AI training
Generative AI and AI literacy training for staff26 (6%)
Other AI-related work
Studies, pilots, data preparation and similar220 (47%)

Categories are assigned by our editors from the notice title only.

Notices by month

Notices by month of publication2026-02-01 to 2026-10-10
2026-02
102 notices
2026-03
54 notices
2026-04
48 notices
2026-05
54 notices
2026-06
52 notices
2026-07
52 notices
2026-08
38 notices
2026-09
48 notices
2026-10
23 notices

The last month is partial: it covers notices up to the data date (2026-10-10).

Who is buying

Notices by type of buyer
Local governments
152 notices32%
Central government ministries and agencies
149 notices32%
Research institutions
81 notices17%
Other public bodies
60 notices13%
Universities and colleges
29 notices6%

Buyer types are assigned mechanically from the organization name (for example, names containing 大学, university, or 省, ministry). This is not a legal classification of the organizations.

Top 10 prefectures

Notices by prefecture of the buyer44 prefectures
1Tokyo
199 notices
2Ibaraki
30 notices
3Hokkaido
24 notices
4Hiroshima
17 notices
5Saitama
16 notices
6Yamagata
16 notices
7Osaka
16 notices
8Hyogo
14 notices
9Okayama
12 notices
10Okinawa
12 notices

Tokyo ranks high largely because central ministries and national agencies are based there. 10 notices do not state a prefecture and are left out of this chart.

Method and limitations

  • Source: tender and procurement notices published through the search API of the Public Procurement Information Portal (kkj.go.jp), run by Japan's Small and Medium Enterprise Agency.
  • We extract notices whose title contains “AI” in either Latin or full-width Japanese characters (AI / AI). Our editors then remove unrelated hits, such as titles where the letters are part of another word or code.
  • “Generative AI”, “AI training” and “AI systems and services” are editorial classifications based on the title. Duplicate notices are removed by the portal's notice key.
  • We count notices, not money. Many notices do not disclose the planned price or the winning bid at the time of publication.
  • The data is refreshed regularly, so the figures on this page change over time. Cite them with the data date shown above.

How to cite this data

You may quote the figures and charts on this page in articles, papers, reports and social posts under CC BY 4.0. Please credit AI PICKS and link to this page.

Suggested citation

Source: AI PICKS, "AI Procurement by Japan's Public Sector 2026", data as of 2026-10-10. https://aipicks.jp/en/research/gov-ai

Questions about the method or the underlying data, and requests for custom cuts, are welcome through our contact form (English is fine).