Investment in the generative AI industry is expected to explode in 2025.

Gartner, a global IT market analysis firm, predicted on the 11th in its report, “Global Generative AI Model Forecast 2023-2029, Q2 2025 Update,” that global end-user spending on generative AI models will reach $14.2 billion this year.

This is approximately 2.5 times the $5.7 billion from last year, representing a whopping 148% increase.


Gartner predicts that spending on general-purpose large-scale language models (LLMs) will increase 141% to $13 billion this year.

At the same time, specialized generative AI models, including domain-specific language models (DSLMs), are expected to grow at a high rate of 280%, reaching a scale of $1.1 billion.

DSLM is trained based on industry or business process-specific data, enabling it to achieve higher efficiency and performance in specific fields.

Interest in DSLM is growing.

Gartner predicts that by 2027, more than 50% of enterprise generative AI models will be centered around DSLM, up from 1% in 2024.This is a figure that has grown significantly.

The shift away from conventional general-purpose models to customized AI models tailored to specific industries and functions is accelerating.

“General purpose LLM has laid the foundation for generative AI and will continue to see the most active investment in the coming years,” said Arunashree Sheppard, a principal research analyst at Gartner. “Demand for task-specific DSLM and vertical AI models is also rapidly increasing.”