Global Large-scale AI Models Market Growth (Status and Outlook) 2025-2031

According to this study, the global Large-scale AI Models market size will reach US$ 19740 million by 2031.

Large-scale AI models refer to highly complex and computationally intensive artificial intelligence systems designed to handle vast amounts of data and perform tasks such as natural language processing, image recognition, and decision-making. These models are typically built on deep learning architectures with billions or even trillions of parameters, enabling them to learn intricate patterns and relationships within data. Due to their scale, they often require massive computational resources and sophisticated training techniques. Examples include large language models like GPT-4 and image generation models like DALL·E, which are capable of understanding and generating human-like text or creating realistic images based on input prompts.

This report presents a comprehensive overview, market shares, and growth opportunities of Large-scale AI Models market by product type, application, key players and key regions and countries.

Segmentation by Type:
General-purpose Models
Industry-specific Models
Vertically Specialized Models

Segmentation by Application:
IT & Telecom
Healthcare
BFSI
Retail & eCommerce
Autonomous Vehicles
Manufacturing
Entertainment & Media
Education
Others

This report also splits the market by region:
United States
China
Europe
Other regions
Japan
South Korea
Southeast Asia
Rest of world

The report also presents the market competition landscape and a corresponding detailed analysis of the major players in the market. The key players covered in this report:
OpenAI
Google
Microsoft
Meta
NVIDIA
AWS
IBM
Anthropic
Hugging Face
Apple
Rasa
Cohere
Huawei
Baidu
Tencent
Alibaba
Xiaomi

Please note: The report will take approximately 2 business days to prepare and deliver.