Exploring the Massive Database of Generative AI Applications in Japan
In an era where artificial intelligence is rapidly advancing, the launch of the "Generative AI Application Database" has created significant buzz across various industries in Japan. Initiated by And-Dot, a company dedicated to redefining human roles in work and pushing for advancements in AI, this invaluable resource aims to collect and share practices recorded by companies utilizing generative AI. This initiative, in collaboration with the Generative AI Utilization Promotion Association (GUGA), is set to offer crucial insights into the state of AI application in Japan and guide organizations in their journey toward AI integration.
The Launch of the Generative AI Application Database
With the term "AI Agent Year" anticipated to define 2025, there is an increasing focus on leveraging generative AI in various fields of academia, industry, and government. Despite advancements, a report by Japan's Ministry of Internal Affairs and Communications revealed that only 55.2% of businesses have integrated generative AI into their operations. Many organizations face challenges such as uncertainty about how to start and lack a clear visual of potential applications and benefits of generative AI. This backdrop facilitated the genesis of the application database, a comprehensive compendium showcasing real-world applications of generative AI from industries throughout Japan.
The database currently features over 1,008 rigorously vetted case studies as of September 2025, compiled by qualified members of GUGA who serve as "PICKERs." This expert panel meticulously reviewed each case for reliability, ensuring the data's integrity for users. The database is conveniently accessible to everyone at no cost, with functionality that allows for keyword searches, sorted by publication date, company, or industry. By utilizing this resource, users can glean insights into industry trends and find solutions pertinent to their organization’s specific challenges.
Database Overview
Name: Generative AI Application Database
Number of Cases: 1,008 (as of September 2025)
Research Methodology: Compilation and review of press releases pertaining to generative AI applications from various organizations.
Target Period: May 2024 - August 2025
Industry Classification: 18 sectors, including manufacturing, energy, healthcare, and more.
Provider: Generative AI Utilization Promotion Association (GUGA)
Collaboration: And-Dot Co., Ltd.
Database URL: Generative AI Application Database
Perspectives from the PICKERs
Various experts, known as PICKERs, contributed their insights during the development of the database. Yuta Ibaraki, the CEO of And-Dot, expressed his excitement at the successful launch of the project and emphasized the diversity of industry cases gathered. He believes that this database will provide crucial hints for companies considering AI integration and support their growth.
Kazuhiro Saeki from QTnet remarked on the frequent inquiries he receives related to generative AI usage, affirming the necessity of a database like this one to streamline AI application efforts within organizations.
Kousuke Takagi from SALES ROBOTICS appreciated the focus on customer perspectives within many of the case studies, emphasizing that successful AI application goes beyond selecting tools to include the clear purpose driving these efforts.
Finally, Hiroaki Tanaka from OPT highlighted the acceleration from trial to implementation of AI technology, showcasing the vital role this database plays in guiding companies towards innovative business model strategies.
Conclusion
As generative AI continues to evolve, the "Generative AI Application Database" serves as a groundbreaking tool in Japan, driving awareness and encouraging integration across industries. It will not only showcase successes but also inspire organizations to rethink their operational strategies and embrace AI for transformative change. Through this initiative, Japan can truly harness the full potential of generative AI, paving the way for a future defined by innovation and efficiency.
By leveraging insights from various sectors, And-Dot and GUGA shed light on a landscape rich with opportunity, aiming to redefine the future of work and business as we know it. The availability of this database marks a milestone in collective efforts to cultivate a knowledgeable AI workforce and reinforces the necessity of continuous learning and adaptation in an AI-driven world.