The global CV Large Model market size is predicted to grow from US$ 121 million in 2025 to US$ 202 million in 2031; it is expected to grow at a CAGR of 9.0% from 2025 to 2031.

CV large models are deep learning models that are pre-trained using a large number of parameters and data in the field of computer vision, usually based on the Transformer structure, with the aim of learning a generalized visual feature representation that can be used for different downstream tasks such as image classification, target detection, semantic segmentation, etc. The advantages of CV large models are that they can improve the generalization ability and performance of the model, shorten the cycle of model development and deployment, and reduce the cost of labeled data.

United States market for CV Large Model is estimated to increase from US$ million in 2024 to US$ million by 2031, at a CAGR of % from 2025 through 2031.

China market for CV Large Model is estimated to increase from US$ million in 2024 to US$ million by 2031, at a CAGR of % from 2025 through 2031.

Europe market for CV Large Model is estimated to increase from US$ million in 2024 to US$ million by 2031, at a CAGR of % from 2025 through 2031.

Global key CV Large Model players cover OpenAI, Microsoft, Google, Nvidia, Naver, etc. In terms of revenue, the global two largest companies occupied for a share nearly % in 2024.

LPI (LP Information) newest research report, the CV Large Model Industry Forecast looks at past sales and reviews total world CV Large Model sales in 2024, providing a comprehensive analysis by region and market sector of projected CV Large Model sales for 2025 through 2031. With CV Large Model sales broken down by region, market sector and sub-sector, this report provides a detailed analysis in US$ millions of the world CV Large Model industry.

This Insight Report provides a comprehensive analysis of the global CV Large Model landscape and highlights key trends related to product segmentation, company formation, revenue, and market share, latest development, and M&A activity. This report also analyses the strategies of leading global companies with a focus on CV Large Model portfolios and capabilities, market entry strategies, market positions, and geographic footprints, to better understand these firms unique position in an accelerating global CV Large Model market.

This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for CV Large Model and breaks down the forecast by Type, by Application, geography, and market size to highlight emerging pockets of opportunity. With a transparent methodology based on hundreds of bottom-up qualitative and quantitative market inputs, this study forecast offers a highly nuanced view of the current state and future trajectory in the global CV Large Model.

This report presents a comprehensive overview, market shares, and growth opportunities of CV Large Model market by product type, application, key players and key regions and countries.

Segmentation by Type:

    ConvNet Large Models
    Transformer-based Large Models

Segmentation by Application:

    Security Video
    Traffic Video
    Smart Driving
    MR/XR Field
    Intelligent Terminal
    Industrial Vision
    Others

This report also splits the market by region:

    Americas
        United States
        Canada
        Mexico
        Brazil
    APAC
        China
        Japan
        Korea
        Southeast Asia
        India
        Australia
    Europe
        Germany
        France
        UK
        Italy
        Russia
    Middle East & Africa
        Egypt
        South Africa
        Israel
        Turkey
        GCC Countries

The below companies that are profiled have been selected based on inputs gathered from primary experts and analyzing the companys coverage, product portfolio, its market penetration.

    OpenAI
    Microsoft
    Google
    Nvidia
    Naver
    Facebook
    Huawei Technologies
    Beijing SenseTime
    Beijing Baidu
    Hangzhou Alibaba Cloud
    Shenzhen Tencent Cloud