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Why Japan’s booming AI market is harder to crack than it looks

Japan’s AI market is growing fast. It is valued at approximately US$8.9 billion in 2024 and is projected to nearly triple to US$27.9 billion by 2029, making it one of the most compelling AI opportunities in Asia. An ageing population drives demand for automation. Strong manufacturing and healthcare infrastructure support adoption. Aggressive government investment reinforces […] The post Why…

Why Japan’s booming AI market is harder to crack than it looks

Japan's artificial intelligence market is experiencing rapid growth, projecting a threefold increase from US$8.9 billion in 2024 to US$27.9 billion by 2029. This market expansion is driven by the need for automation, bolstered by an aging population, robust manufacturing and healthcare infrastructure, and significant government investment. Despite the promising outlook, entering the Japanese AI market can be challenging due to cultural, organizational, and structural barriers.

Japan is attracting top-tier AI talent, as evidenced by Sakana AI, a Tokyo-based company founded by former Google researchers. With unicorn status and over US$479 million in funding, Sakana AI exemplifies the success of foreign AI talent in Japan. The country's deep enterprise demand, substantial government support, and strong academic research institutions contribute to its appeal as an AI hub.

However, navigating Japan's AI market requires addressing distinct challenges. Japanese enterprises are particularly sensitive to data sovereignty, raising questions about data governance, such as model training locations, data usage for other customers, and legal responsibility for AI-generated outputs. Japan's Act on the Protection of Personal Information (APPI) is stringent, necessitating upfront declaration of data use purposes and third-party data transfer restrictions.

Additionally, Japan's corporate environment presents unique challenges for AI adoption. Japan's Traditional Companies (JTCs) prioritize incremental improvement over disruption, often demanding concrete evidence of success before approving project progression. Defining clear success metrics and demonstrating existing use cases in Japanese companies are crucial for moving projects beyond the Proof of Concept (PoC) stage.

To succeed in Japan's AI market, foreign companies must prioritize data governance, define clear success criteria, and carefully approach PoCs with a structured plan for progression. Building relationships with government-backed programs and local platforms can also provide a strategic advantage in penetrating this complex market.

Written by urgent.news from e27's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

Read the original at e27.co →

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