According to our (Global Info Research) latest study, the global CV Large Model market size was valued at US$ 117 million in 2024 and is forecast to a readjusted size of USD 207 million by 2031 with a CAGR of 8.5% during review period.
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.
This report is a detailed and comprehensive analysis for global CV Large Model market. Both quantitative and qualitative analyses are presented by company, by region & country, by Type and by Application. As the market is constantly changing, this report explores the competition, supply and demand trends, as well as key factors that contribute to its changing demands across many markets. Company profiles and product examples of selected competitors, along with market share estimates of some of the selected leaders for the year 2025, are provided.
Key Features:
Global CV Large Model market size and forecasts, in consumption value ($ Million), 2020-2031
Global CV Large Model market size and forecasts by region and country, in consumption value ($ Million), 2020-2031
Global CV Large Model market size and forecasts, by Type and by Application, in consumption value ($ Million), 2020-2031
Global CV Large Model market shares of main players, in revenue ($ Million), 2020-2025
The Primary Objectives in This Report Are:
To determine the size of the total market opportunity of global and key countries
To assess the growth potential for CV Large Model
To forecast future growth in each product and end-use market
To assess competitive factors affecting the marketplace
This report profiles key players in the global CV Large Model market based on the following parameters - company overview, revenue, gross margin, product portfolio, geographical presence, and key developments. Key companies covered as a part of this study include OpenAI, Microsoft, Google, Nvidia, Naver, Facebook, Huawei Technologies, Beijing SenseTime, Beijing Baidu, Hangzhou Alibaba Cloud, etc.
This report also provides key insights about market drivers, restraints, opportunities, new product launches or approvals.
Market segmentation
CV Large Model market is split by Type and by Application. For the period 2020-2031, the growth among segments provides accurate calculations and forecasts for Consumption Value by Type and by Application. This analysis can help you expand your business by targeting qualified niche markets.
Market segment by Type
ConvNet Large Models
Transformer-based Large Models
Market segment by Application
Security Video
Traffic Video
Smart Driving
MR/XR Field
Intelligent Terminal
Industrial Vision
Others
Market segment by players, this report covers
OpenAI
Microsoft
Google
Nvidia
Naver
Facebook
Huawei Technologies
Beijing SenseTime
Beijing Baidu
Hangzhou Alibaba Cloud
Shenzhen Tencent Cloud
Market segment by regions, regional analysis covers
North America (United States, Canada and Mexico)
Europe (Germany, France, UK, Russia, Italy and Rest of Europe)
Asia-Pacific (China, Japan, South Korea, India, Southeast Asia and Rest of Asia-Pacific)
South America (Brazil, Rest of South America)
Middle East & Africa (Turkey, Saudi Arabia, UAE, Rest of Middle East & Africa)
The content of the study subjects, includes a total of 13 chapters:
Chapter 1, to describe CV Large Model product scope, market overview, market estimation caveats and base year.
Chapter 2, to profile the top players of CV Large Model, with revenue, gross margin, and global market share of CV Large Model from 2020 to 2025.
Chapter 3, the CV Large Model competitive situation, revenue, and global market share of top players are analyzed emphatically by landscape contrast.
Chapter 4 and 5, to segment the market size by Type and by Application, with consumption value and growth rate by Type, by Application, from 2020 to 2031
Chapter 6, 7, 8, 9, and 10, to break the market size data at the country level, with revenue and market share for key countries in the world, from 2020 to 2025.and CV Large Model market forecast, by regions, by Type and by Application, with consumption value, from 2026 to 2031.
Chapter 11, market dynamics, drivers, restraints, trends, Porters Five Forces analysis.
Chapter 12, the key raw materials and key suppliers, and industry chain of CV Large Model.
Chapter 13, to describe CV Large Model research findings and conclusion.
Learn how to effectively navigate the market research process to help guide your organization on the journey to success.
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