healthTECH JAPAN

Key facts

Attendance 2025

22 167

Exhibitors

1 134

Floor space

20 000 m²

Admission

—

Frequency

Annual

Editions

2 since 2025

Attendance and exhibitor figures for 2025 are the organizer's own and are not independently audited. They may include co-located or joint exhibitions.

healthTECH JAPAN is an annual trade fair in Yokohama (Kanagawa) covering AI image analysis, deep learning and diagnostic management tools. The next edition is listed for 7–9 October 2026 at Pacifico Yokohama. The 2025 edition reported 22,167 visitors and 1,134 exhibitors, a figure published by the organiser and not independently audited. Organised by Japan Bioindustry Association / JTB Communication Design, Inc.

What is exhibited

• Adherence products (disease management apps)
• AI image analysis
• Cloud
• Deep learning
• Diagnostic management tools
• <Digital Bio> AI for drug discovery
• Digital diagnostics
• <Digital Health> Presymptomatic diseases
• Digital insurance
• <Digital Medicine> Digital biomarkers
• <Digital Therapeutics (DTx)> Non-pharmacotherapy systems (disease treatment apps)
• Drug delivery systems
• Drug device combinations
• Drug discovery platforms
• Electronic medical records systems
• Epidemic disease prediction and measurement
• Functional foods
• Genome analysis
• Genome editing
• Genomics data
• Health function improvement and prevention apps
• Health support services
• In silico discovery
• Lifestyle apps
• Medication adherence tools
• Next generation sequencer genetic testing
• Patient portals
• Personal health records
• Personalized medicine
• Real world data
• Remote diagnostics
• Remote patient monitoring
• Security software
• Vital information monitoring and sensing
• Wearable devices

J-messe subject tags

JETRO's own classification, kept verbatim. Fairs carry several; the sector in the sidebar is the single one this site browses by.

• Health Care
• Telecom & Computing
• Medical Equipment
• Startups & Innovation
• Pharmaceuticals

Editions on record

Every dated instance of this fair the database holds. A series keeps one identity across renames and moves; each row below is one edition of it.

Where this came from

Field-level provenance for the most recent edition: what each fact came from, how far it is trusted, and when it was last checked.