IDC Japan: AI spend to hit ¥6.89tn by 2029, but design gaps stall adoption

IDC Japan forecasts domestic AI spending rising from about ¥2.37 trillion in 2025 to about ¥6.89 trillion in 2029, and the numbers alone do not capture the distance between a proof of concept and a production system. A simple chat application built on an LLM API is relatively easy to stand up. What is hard is the surrounding machinery.

The piece walks through that machinery one layer at a time. Corporate data sits in PDFs, Office documents, file servers, CRM and ERP systems, on-premises databases, and legacy systems; feeding it to an AI requires retrieval, transformation, and access controls, and the processing before the LLM receives data matters more than the model's raw capability. For RAG-based applications, it lists access control, index updates, source citations, and separate evaluation of retrieval and generation as production requirements. For AI agents, it adds permission design — reading CRM data but not deleting customer records — along with failure handling, duplicate-run protection, and audit logging.

A staged adoption path is: start with information search, then answer generation, then system integration, then business actions, then continuous evaluation. It cites SotaTek Japan for further reading on Japan's AI market, agent, RAG, multimodal, and physical AI trends. The throughline is that choosing a model is only one decision among many.