Global Smart AI Farming Market 2025 by Manufacturers, Regions, Type and Application, Forecast to 2031
Description
According to our (Global Info Research) latest study, the global Smart AI Farming market size was valued at US$ million in 2024 and is forecast to a readjusted size of USD million by 2031 with a CAGR of %during review period.
In this report, we will assess the current U.S. tariff framework alongside international policy adaptations, analyzing their effects on competitive market structures, regional economic dynamics, and supply chain resilience.
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.
This report is a detailed and comprehensive analysis for global Smart AI Farming market. Both quantitative and qualitative analyses are presented by manufacturers, 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 Smart AI Farming market size and forecasts, in consumption value ($ Million), sales quantity (K Units), and average selling prices (US$/Unit), 2020-2031
Global Smart AI Farming market size and forecasts by region and country, in consumption value ($ Million), sales quantity (K Units), and average selling prices (US$/Unit), 2020-2031
Global Smart AI Farming market size and forecasts, by Type and by Application, in consumption value ($ Million), sales quantity (K Units), and average selling prices (US$/Unit), 2020-2031
Global Smart AI Farming market shares of main players, shipments in revenue ($ Million), sales quantity (K Units), and ASP (US$/Unit), 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 Smart AI Farming
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 Smart AI Farming market based on the following parameters - company overview, sales quantity, revenue, price, gross margin, product portfolio, geographical presence, and key developments. Key companies covered as a part of this study include 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., etc.
This report also provides key insights about market drivers, restraints, opportunities, new product launches or approvals.
Market Segmentation
Smart AI Farming 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 in terms of volume and value. This analysis can help you expand your business by targeting qualified niche markets.
Market segment by Type
Software
Hardware
Market segment by Application
Farm
Company
Major players covered
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.
Market segment by region, regional analysis covers
North America (United States, Canada, and Mexico)
Europe (Germany, France, United Kingdom, Russia, Italy, and Rest of Europe)
Asia-Pacific (China, Japan, Korea, India, Southeast Asia, and Australia)
South America (Brazil, Argentina, Colombia, and Rest of South America)
Middle East & Africa (Saudi Arabia, UAE, Egypt, South Africa, and Rest of Middle East & Africa)
The content of the study subjects, includes a total of 15 chapters:
Chapter 1, to describe Smart AI Farming product scope, market overview, market estimation caveats and base year.
Chapter 2, to profile the top manufacturers of Smart AI Farming, with price, sales quantity, revenue, and global market share of Smart AI Farming from 2020 to 2025.
Chapter 3, the Smart AI Farming competitive situation, sales quantity, revenue, and global market share of top manufacturers are analyzed emphatically by landscape contrast.
Chapter 4, the Smart AI Farming breakdown data are shown at the regional level, to show the sales quantity, consumption value, and growth by regions, from 2020 to 2031.
Chapter 5 and 6, to segment the sales by Type and by Application, with sales market share and growth rate by Type, by Application, from 2020 to 2031.
Chapter 7, 8, 9, 10 and 11, to break the sales data at the country level, with sales quantity, consumption value, and market share for key countries in the world, from 2020 to 2025.and Smart AI Farming market forecast, by regions, by Type, and by Application, with sales and revenue, from 2026 to 2031.
Chapter 12, market dynamics, drivers, restraints, trends, and Porters Five Forces analysis.
Chapter 13, the key raw materials and key suppliers, and industry chain of Smart AI Farming.
Chapter 14 and 15, to describe Smart AI Farming sales channel, distributors, customers, research findings and conclusion.
In this report, we will assess the current U.S. tariff framework alongside international policy adaptations, analyzing their effects on competitive market structures, regional economic dynamics, and supply chain resilience.
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.
This report is a detailed and comprehensive analysis for global Smart AI Farming market. Both quantitative and qualitative analyses are presented by manufacturers, 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 Smart AI Farming market size and forecasts, in consumption value ($ Million), sales quantity (K Units), and average selling prices (US$/Unit), 2020-2031
Global Smart AI Farming market size and forecasts by region and country, in consumption value ($ Million), sales quantity (K Units), and average selling prices (US$/Unit), 2020-2031
Global Smart AI Farming market size and forecasts, by Type and by Application, in consumption value ($ Million), sales quantity (K Units), and average selling prices (US$/Unit), 2020-2031
Global Smart AI Farming market shares of main players, shipments in revenue ($ Million), sales quantity (K Units), and ASP (US$/Unit), 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 Smart AI Farming
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 Smart AI Farming market based on the following parameters - company overview, sales quantity, revenue, price, gross margin, product portfolio, geographical presence, and key developments. Key companies covered as a part of this study include 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., etc.
This report also provides key insights about market drivers, restraints, opportunities, new product launches or approvals.
Market Segmentation
Smart AI Farming 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 in terms of volume and value. This analysis can help you expand your business by targeting qualified niche markets.
Market segment by Type
Software
Hardware
Market segment by Application
Farm
Company
Major players covered
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.
Market segment by region, regional analysis covers
North America (United States, Canada, and Mexico)
Europe (Germany, France, United Kingdom, Russia, Italy, and Rest of Europe)
Asia-Pacific (China, Japan, Korea, India, Southeast Asia, and Australia)
South America (Brazil, Argentina, Colombia, and Rest of South America)
Middle East & Africa (Saudi Arabia, UAE, Egypt, South Africa, and Rest of Middle East & Africa)
The content of the study subjects, includes a total of 15 chapters:
Chapter 1, to describe Smart AI Farming product scope, market overview, market estimation caveats and base year.
Chapter 2, to profile the top manufacturers of Smart AI Farming, with price, sales quantity, revenue, and global market share of Smart AI Farming from 2020 to 2025.
Chapter 3, the Smart AI Farming competitive situation, sales quantity, revenue, and global market share of top manufacturers are analyzed emphatically by landscape contrast.
Chapter 4, the Smart AI Farming breakdown data are shown at the regional level, to show the sales quantity, consumption value, and growth by regions, from 2020 to 2031.
Chapter 5 and 6, to segment the sales by Type and by Application, with sales market share and growth rate by Type, by Application, from 2020 to 2031.
Chapter 7, 8, 9, 10 and 11, to break the sales data at the country level, with sales quantity, consumption value, and market share for key countries in the world, from 2020 to 2025.and Smart AI Farming market forecast, by regions, by Type, and by Application, with sales and revenue, from 2026 to 2031.
Chapter 12, market dynamics, drivers, restraints, trends, and Porters Five Forces analysis.
Chapter 13, the key raw materials and key suppliers, and industry chain of Smart AI Farming.
Chapter 14 and 15, to describe Smart AI Farming sales channel, distributors, customers, research findings and conclusion.
Table of Contents
90 Pages
- 1 Market Overview
- 2 Manufacturers Profiles
- 3 Competitive Environment: Smart AI Farming by Manufacturer
- 4 Consumption Analysis by Region
- 5 Market Segment by Type
- 6 Market Segment by Application
- 7 North America
- 8 Europe
- 9 Asia-Pacific
- 10 South America
- 11 Middle East & Africa
- 12 Market Dynamics
- 13 Raw Material and Industry Chain
- 14 Shipments by Distribution Channel
- 15 Research Findings and Conclusion
- 16 Appendix
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