Global Smart AI Farming Market Growth 2024-2030

Global Smart AI Farming Market Growth 2024-2030

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.

The global Smart AI Farming market size is projected to grow from US$ million in 2024 to US$ million in 2030; it is expected to grow at a CAGR of %from 2024 to 2030.

LP Information, Inc. (LPI) ' newest research report, the “Smart AI Farming Industry Forecast” looks at past sales and reviews total world Smart AI Farming sales in 2023, providing a comprehensive analysis by region and market sector of projected Smart AI Farming sales for 2024 through 2030. With Smart AI Farming sales broken down by region, market sector and sub-sector, this report provides a detailed analysis in US$ millions of the world Smart AI Farming industry.

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

This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for Smart AI Farming 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 Smart AI Farming.

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 presents a comprehensive overview, market shares, and growth opportunities of Smart AI Farming market by product type, application, key manufacturers and key regions and countries.

Segmentation by Type:
Software
Hardware

Segmentation by Application:
Farm
Company

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 analysing the company's coverage, product portfolio, its market penetration.
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?



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