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Expenditure related to generative artificial intelligence (AI) models worldwide is projected to reach $14.2 billion (approximately 19 trillion won) this year.

Market research firm Gartner projected that end-user expenditure on generative AI models worldwide would increase by 148% this year to $14.2 billion compared to the previous year. Expenditure related to general-purpose generative AI models, including large language models (LLM), is expected to record $13 billion (approximately 17.8 trillion won), reflecting a 141% increase.

Expenditure related to specialized generative AI models, including domain-specific language models (DSLM), is forecasted to surge to $1.1 billion (approximately 1.5 trillion won), a 280% increase from $300 million last year. Specialized models refer to models that are trained or fine-tuned on data specific to certain industries or business processes. Gartner predicts that by 2027, more than half of generative AI models for corporations will be domain-based models specialized in specific industries and business functions, up significantly from 1% in 2024.

Arunashree Sheppati, a senior research analyst at Gartner, noted that "general-purpose generative AI models, such as LLM, are trained on vast amounts of data and are utilized for various tasks," adding that "general-purpose generative AI models have laid the foundation for generative AI, and investments by corporations will be most active in the coming years." She further added that "interest in DSLM and vertical AI models, which are more suitable for specific tasks, is also surging."

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