Thailand expects AI industry to reach 12.2 bln USD by 2030

Detailed summary

Thailand's artificial intelligence (AI) industry is expected to grow to 412 billion baht (about 12.2 billion U.S. dollars) by 2030, from an estimated 187 billion baht (about 5.5…

BANGKOK, Nov. 13 (Xinhua) -- Thailand's artificial intelligence (AI) industry is expected to grow to 412 billion baht (about 12.2 billion U.S. dollars) by 2030, from an estimated 187 billion baht (about 5.5 billion dollars) this year, the country's digital economy agency said on Friday.

According to the National Board of Digital Economy and Society Office (BDE), that would be about 2.5 times the 162 billion baht estimated for 2025, or compound annual growth of 20.5 percent over 2025-2030.

The growth is driven by the Southeast Asian country's position as a major global exporter of AI-related hardware, foreign investment in data centers, and government policies supporting AI.

In a statement, the BDE said the figure measures activity along the AI value chain and is not an estimate of gross domestic product.

Hardware and infrastructure, including electronic components and data centers, make up about 72 percent of the Thai AI industry's value, the BDE said. The segment also accounted for 86.6 percent of the 31.1 billion baht (about 921 million dollars) invested in the industry last year.

The BDE cited figures from the state-run National Electronics and Computer Technology Center showing that 53.7 percent of Thai organizations use AI this year, up from 17.8 percent in 2024.

AI models, software and data services are the smallest segment but the fastest-growing, at 26.3 percent a year.

The agency identified risks to the forecast, including energy supply for data centers, reliance on imported graphics processing units, and a shortage of AI talent.

It said demand for data centers and high-performance computing will keep supporting investment. As AI use spreads from large companies to the wider economy, it expects more investment in data platforms, software, model development, and systems that link data to business operations. ■

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