Global Smart AI Farming Market By Type (Software and Hardware), By Application (Farm and Company), and Region

The global Smart AI Farming market size is predicted to grow from US$ million in 2025 to US$ million in 2032; it is expected to grow at a CAGR of %from 2026 to 2032.

Smart livestock breeding is the management of the entire process. From agricultural breeding, acquisition, processing, transportation, and sales, all links are visualized and managed to achieve comprehensive and intelligent management of livestock breeding, providing scientific and technological support for government supervision and enterprise management. , Intelligent livestock and poultry breeding achieves the goals of healthy breeding, saving costs, reducing labor, saving energy and reducing consumption by changing on-site environmental conditions and remotely controlling equipment.

According to the United Nations Food and Agriculture Organization, the livestock industry provides food that contributes 34% of protein and 17% of calorie intake in the global diet. By 2050, the world"s population is expected to reach 10 billion, and demand for livestock products is expected to grow by 39%. The OECD estimates that world meat production will increase by 5% in 2021, reaching approximately 339 million tons, and imports will reach 40 million tons. Major meat exporting countries such as Brazil, the European Union, and the United States meet most of the import demand. As population and per capita income grow, meat consumption is expected to continue to increase in the coming years. China is the world"s largest meat consumer and producer. The "China Agricultural Outlook Report (2023-2032)" shows that China"s meat production and consumption maintain growth, and imports first increased and then decreased. During the outlook period, as the meat industry gradually transforms and upgrades, the supply capacity of the livestock and poultry industry will increase and output will maintain growth. According to data from the National Bureau of Statistics, the added value of China"s agriculture, forestry, animal husbandry and fishery will reach 9,258.2 billion yuan in 2022, a year-on-year increase of 4.3%, accounting for 7.65% of GDP. The livestock industry grew steadily throughout the year. The annual output of pig, beef, mutton and poultry was 92.27 million tons, an increase of 3.8% over the previous year.

Market participants in the Smart AI Farming industry are focusing on product development and regional expansion strategies.

This market study provides a detailed evaluation of the global Smart AI Farming industry, including market trends, competitive developments, and future opportunities.

The report evaluates market trends, competitive developments, pricing patterns, and regional growth opportunities across the industry.

The study provides market size analysis, competitive benchmarking, product segmentation, application analysis, and regional forecasts.

Market Segmentation by Product Type:

    Software
    Hardware

Application Analysis:

    Farm
    Company

Regional Coverage:

    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

Leading companies profiled in this report were selected based on their product portfolio, market presence, innovation capabilities, and regional footprint.

    Ro-main
    Convisosmart
    Huawei
    Jiangsu Xigu Network Technology Co., Ltd.
    Shenzhen Aoyuexin Technology Co., Ltd.
    Alibaba
    Shenzhen Vp Information Technology Co., Ltd.
    Chengdu Ruixu Electronic Technology Co., Ltd.
    Guangzhou Jiankun Network Technology Development Co., Ltd.
    Vision Century (Beijing) Technology Co., Ltd.

Key Questions Addressed in this Report

What is the 10-year outlook for the global Smart AI Farming market?
What factors are driving Smart AI Farming market growth, globally and by region?
Which technologies are poised for the fastest growth by market and region?
How do Smart AI Farming market opportunities vary by end market size?
How does Smart AI Farming break out by Type, by Application?