Name: 52nd Plant Maintenance Show: Tokyo Big Sight Exhibition
Start: 2026-07-15T10:00:00+09:00
End: 2026-07-17T10:00:00+09:00
Location: 東京ビッグサイト

The 52nd Plant Maintenance Show will be held at Tokyo Big Sight in Ariake, Koto-ku, Tokyo, from Wednesday, July 15 to Friday, July 17, 2026. This exhibition is a specialized B2B event showcasing the latest technologies and services focused on plant maintenance.

Exhibition Overview

Now in its 52nd year, the Plant Maintenance Show boasts a long history and high recognition within the industry. It addresses current manufacturing challenges such as aging infrastructure, production equipment maintenance management, smart safety, factory automation, and worker support. In an era of labor shortages and an aging workforce, improving operational efficiency and productivity is crucial for corporate survival. This exhibition aims to present technologies and services that help companies overcome these issues.

Exhibitor and Visitor Targets

The scope of exhibitors covers a wide range of plant maintenance fields, including maintenance management, smart safety, energy saving, operational efficiency improvement, asset longevity, DX promotion, and recruitment/human resource development. Visitors are expected from diverse sectors such as industrial machinery, food, steel, oil, electricity, chemicals, automotive, construction, engineering, IT, and academic/research institutions.

Seminars and Lectures

Concurrent events include "Monozukuri Special Lectures" and "Plant Show Lectures." Topics range from government initiatives like "METI's Initiatives on Smart Safety" and "Japan's Energy Policy and Energy Security" by officials from the Ministry of Economy, Trade and Industry and the Agency for Natural Resources and Energy, to practical case studies on DX promotion in manufacturing sites by companies like Tokuyama and Asahi Kasei. There will also be lectures on cutting-edge research, such as the forefront of deep-sea mineral resource research from the University of Tokyo and the future prospects of AI-driven computational chemistry by Preferred Networks. These lectures require advance registration and are free to attend.