Report Overview
Report Overview
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 worlds 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 worlds largest meat consumer and producer. The China Agricultural Outlook Report (2023-2032) shows that Chinas 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 Chinas 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.
The global AI Smart Farming market size was estimated at USD 1945.0 million in 2025 and is projected to grow at a compound annual growth rate (CAGR) of 6.00% during the forecast period.
This report offers a comprehensive and in-depth analysis of the global AI Smart Farming market, covering all critical facets from a broad macroeconomic overview to detailed micro-level insights. It examines market size, competitive landscape, emerging development trends, niche segments, key drivers and challenges, as well as conducts SWOT and value chain analyses.
The insights provided enable readers to understand the competitive dynamics within the industry and formulate effective strategies to enhance profitability and market positioning. Additionally, the report presents a clear framework for evaluating the current status and future outlook of business organizations operating in this sector.
A significant focus of this report lies in the competitive landscape of the global AI Smart Farming market. It offers detailed profiles of major players, including their market shares, performance metrics, product portfolios, and operational status. This enables stakeholders to identify leading competitors and gain a nuanced understanding of market rivalry and structure.
In summary, this report serves as an essential resource for industry participants, investors, researchers, consultants, and business strategists, as well as anyone planning to enter or expand their presence in the AI Smart Farming market.
Global AI Smart Farming Market: Market Segmentation Analysis
This research report provides a detailed segmentation of the market by region (country), key manufacturers, product type, and application. Market segmentation divides the overall market into distinct subsets based on factors such as product categories, end-user industries, geographic locations, and other relevant criteria.
A clear understanding of these market segments enables decision-makers to tailor their product development, sales, and marketing strategies more effectively to meet the unique needs of each segment. Leveraging market segmentation insights can significantly enhance targeted approaches, optimize resource allocation, and accelerate product innovation cycles by aligning offerings with the specific demands of diverse customer groups.
Key Company
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 Segmentation (by Type)
Software
Hardware
Market Segmentation (by Application)
Farm
Company
Geographic Segmentation
North America (USA, Canada, Mexico)
Europe (Germany, UK, France, Russia, Italy, Rest of Europe)
Asia-Pacific (China, Japan, South Korea, India, Southeast Asia, Rest of Asia-Pacific)
South America (Brazil, Argentina, Columbia, Rest of South America)
The Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria, South Africa, Rest of MEA)
Key Benefits of This Market Research:
Industry drivers, restraints, and opportunities covered in the study
Neutral perspective on the market performance
Recent industry trends and developments
Competitive landscape & strategies of key players
Potential & niche segments and regions exhibiting promising growth covered
Historical, current, and projected market size, in terms of value
In-depth analysis of the AI Smart Farming Market
Overview of the regional outlook of the AI Smart Farming Market:
Customization of the Report
In case of any queries or customization requirements, please connect with our sales team, who will ensure that your requirements are met.
Chapter Outline
Chapter 1 mainly introduces the statistical scope of the report, market division standards, and market research methods.
Chapter 2 is an executive summary of different market segments (by region, product type, application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the AI Smart Farming Market and its likely evolution in the short to mid-term, and long term.
Chapter 3 makes a detailed analysis of the markets competitive landscape of the market and provides the market share, capacity, output, price, latest development plan, merger, and acquisition information of the main manufacturers in the market.
Chapter 4 is the analysis of the whole market industrial chain, including the upstream and downstream of the industry, as well as Porters five forces analysis.
Chapter 5 introduces the latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
Chapter 6 provides the analysis of various market segments according to product types, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 7 provides the analysis of various market segments according to application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 8 provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 9 shares the main producing countries of AI Smart Farming, their output value, profit level, regional supply, production capacity layout, etc. from the supply side.
Chapter 10 introduces the basic situation of the main companies in the market in detail, including product sales revenue, sales volume, price, gross profit margin, market share, product introduction, recent development, etc.
Chapter 11 provides a quantitative analysis of the market size and development potential of each region in the next five years.
Chapter 12 provides a quantitative analysis of the market size and development potential of each market segment in the next five years.
Chapter 13 is the main points and conclusions of the report.
Key Reasons to Buy this Report:
Access to date statistics compiled by our researchers. These provide you with historical and forecast data, which is analyzed to tell you why your market is set to change
This enables you to anticipate market changes to remain ahead of your competitors
You will be able to copy data from the Excel spreadsheet straight into your marketing plans, business presentations, or other strategic documents
The concise analysis, clear graph, and table format will enable you to pinpoint the information you require quickly
Provision of market value data for each segment and sub-segment
Indicates the region and segment that is expected to witness the fastest growth as well as to dominate the market
Analysis by geography highlighting the consumption of the product/service in the region as well as indicating the factors that are affecting the market within each region
Competitive landscape which incorporates the market ranking of the major players, along with new service/product launches, partnerships, business expansions, and acquisitions in the past five years of companies profiled
Extensive company profiles comprising of company overview, company insights, product benchmarking, and SWOT analysis for the major market players
The current as well as the future market outlook of the industry concerning recent developments which involve growth opportunities and drivers as well as challenges and restraints of both emerging as well as developed regions
Includes in-depth analysis of the market from various perspectives through Porter’s five forces analysis
Provides insight into the market through Value Chain
Market dynamics scenario, along with growth opportunities of the market in the years to come
6-month post-sales analyst support
Customization of the Report
In case of any queries or customization requirements, please connect with our sales team, who will ensure that your requirements are met.
Table of Contents
- 1 Research Methodology and Statistical Scope
- 1.1 Market Definition and Statistical Scope of AI Smart Farming
- 1.2 Key Market Segments
- 1.2.1 AI Smart Farming Segment by Type
- 1.2.2 AI Smart Farming Segment by Application
- 1.3 Methodology & Sources of Information
- 1.3.1 Research Methodology
- 1.3.2 Research Process
- 1.3.3 Market Breakdown and Data Triangulation
- 1.3.4 Base Year
- 1.3.5 Report Assumptions & Caveats
- 2 AI Smart Farming Market Overview
- 2.1 Global Market Overview
- 2.2 Market Segment Executive Summary
- 2.3 Global Market Size by Region
- 3 AI Smart Farming Market Competitive Landscape
- 3.1 Company Assessment Quadrant
- 3.2 Global AI Smart Farming Product Life Cycle
- 3.3 Global AI Smart Farming Revenue Market Share by Company (2020-2025)
- 3.4 AI Smart Farming Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
- 3.5 Headquarters, Areas Served, and Product Types of Major Players
- 3.6 AI Smart Farming Market Competitive Situation and Trends
- 3.6.1 AI Smart Farming Market Concentration Rate
- 3.6.2 Global 5 and 10 Largest AI Smart Farming Players Market Share by Revenue
- 3.6.3 Mergers & Acquisitions, Expansion
- 4 AI Smart Farming Value Chain Analysis
- 4.1 AI Smart Farming Value Chain Analysis
- 4.2 Midstream Market Analysis
- 4.3 Downstream Customer Analysis
- 5 The Development and Dynamics of AI Smart Farming Market
- 5.1 Key Development Trends
- 5.2 Driving Factors
- 5.3 Market Challenges
- 5.4 Industry News
- 5.4.1 New Product Developments
- 5.4.2 Mergers & Acquisitions
- 5.4.3 Expansions
- 5.4.4 Collaboration/Supply Contracts
- 5.5 PEST Analysis
- 5.5.1 Industry Policies Analysis
- 5.5.2 Economic Environment Analysis
- 5.5.3 Social Environment Analysis
- 5.5.4 Technological Environment Analysis
- 5.6 Global AI Smart Farming Market Porters Five Forces Analysis
- 6 AI Smart Farming Market Segmentation by Type
- 6.1 Evaluation Matrix of Segment Market Development Potential (Type)
- 6.2 Global AI Smart Farming Market by Type (2020-2025)
- 6.3 Global AI Smart Farming Market Size Growth Rate by Type (2021-2025)
- 7 AI Smart Farming Market Segmentation by Application
- 7.1 Evaluation Matrix of Segment Market Development Potential (Application)
- 7.2 Global AI Smart Farming Market Size (M USD) by Application (2020-2025)
- 7.3 Global AI Smart Farming Market Size Growth Rate by Application (2021-2025)
- 8 AI Smart Farming Market Segmentation by Region
- 8.1 Global AI Smart Farming Market Size by Region
- 8.1.1 Global AI Smart Farming Market Size by Region
- 8.1.2 Global AI Smart Farming Market Size Market Share by Region
- 8.2 North America
- 8.2.1 North America AI Smart Farming Market Size by Country
- 8.2.2 U.S.
- 8.2.3 Canada
- 8.2.4 Mexico
- 8.3 Europe
- 8.3.1 Europe AI Smart Farming Market Size by Country
- 8.3.2 Germany
- 8.3.3 France
- 8.3.4 U.K.
- 8.3.5 Italy
- 8.3.6 Spain
- 8.4 Asia Pacific
- 8.4.1 Asia Pacific AI Smart Farming Market Size by Region
- 8.4.2 China
- 8.4.3 Japan
- 8.4.4 South Korea
- 8.4.5 India
- 8.4.6 Southeast Asia
- 8.5 South America
- 8.5.1 South America AI Smart Farming Market Size by Country
- 8.5.2 Brazil
- 8.5.3 Argentina
- 8.5.4 Columbia
- 8.6 Middle East and Africa
- 8.6.1 Middle East and Africa AI Smart Farming Market Size by Region
- 8.6.2 Saudi Arabia
- 8.6.3 UAE
- 8.6.4 Egypt
- 8.6.5 Nigeria
- 8.6.6 South Africa
- 8.1 Global AI Smart Farming Market Size by Region
- 9 Key Companies Profile
- 9.1 Ro-main
- 9.1.1 Ro-main Basic Information
- 9.1.2 Ro-main AI Smart Farming Product Overview
- 9.1.3 Ro-main AI Smart Farming Product Market Performance
- 9.1.4 Ro-main SWOT Analysis
- 9.1.5 Ro-main Business Overview
- 9.1.6 Ro-main Recent Developments
- 9.2 Convisosmart
- 9.2.1 Convisosmart Basic Information
- 9.2.2 Convisosmart AI Smart Farming Product Overview
- 9.2.3 Convisosmart AI Smart Farming Product Market Performance
- 9.2.4 Convisosmart SWOT Analysis
- 9.2.5 Convisosmart Business Overview
- 9.2.6 Convisosmart Recent Developments
- 9.3 Huawei
- 9.3.1 Huawei Basic Information
- 9.3.2 Huawei AI Smart Farming Product Overview
- 9.3.3 Huawei AI Smart Farming Product Market Performance
- 9.3.4 Huawei SWOT Analysis
- 9.3.5 Huawei Business Overview
- 9.3.6 Huawei Recent Developments
- 9.4 Jiangsu Xigu Network Technology Co., Ltd.
- 9.4.1 Jiangsu Xigu Network Technology Co., Ltd. Basic Information
- 9.4.2 Jiangsu Xigu Network Technology Co., Ltd. AI Smart Farming Product Overview
- 9.4.3 Jiangsu Xigu Network Technology Co., Ltd. AI Smart Farming Product Market Performance
- 9.4.4 Jiangsu Xigu Network Technology Co., Ltd. Business Overview
- 9.4.5 Jiangsu Xigu Network Technology Co., Ltd. Recent Developments
- 9.5 Shenzhen Aoyuexin Technology Co., Ltd.
- 9.5.1 Shenzhen Aoyuexin Technology Co., Ltd. Basic Information
- 9.5.2 Shenzhen Aoyuexin Technology Co., Ltd. AI Smart Farming Product Overview
- 9.5.3 Shenzhen Aoyuexin Technology Co., Ltd. AI Smart Farming Product Market Performance
- 9.5.4 Shenzhen Aoyuexin Technology Co., Ltd. Business Overview
- 9.5.5 Shenzhen Aoyuexin Technology Co., Ltd. Recent Developments
- 9.6 Alibaba
- 9.6.1 Alibaba Basic Information
- 9.6.2 Alibaba AI Smart Farming Product Overview
- 9.6.3 Alibaba AI Smart Farming Product Market Performance
- 9.6.4 Alibaba Business Overview
- 9.6.5 Alibaba Recent Developments
- 9.7 Shenzhen Vp Information Technology Co., Ltd.
- 9.7.1 Shenzhen Vp Information Technology Co., Ltd. Basic Information
- 9.7.2 Shenzhen Vp Information Technology Co., Ltd. AI Smart Farming Product Overview
- 9.7.3 Shenzhen Vp Information Technology Co., Ltd. AI Smart Farming Product Market Performance
- 9.7.4 Shenzhen Vp Information Technology Co., Ltd. Business Overview
- 9.7.5 Shenzhen Vp Information Technology Co., Ltd. Recent Developments
- 9.8 Chengdu Ruixu Electronic Technology Co., Ltd.
- 9.8.1 Chengdu Ruixu Electronic Technology Co., Ltd. Basic Information
- 9.8.2 Chengdu Ruixu Electronic Technology Co., Ltd. AI Smart Farming Product Overview
- 9.8.3 Chengdu Ruixu Electronic Technology Co., Ltd. AI Smart Farming Product Market Performance
- 9.8.4 Chengdu Ruixu Electronic Technology Co., Ltd. Business Overview
- 9.8.5 Chengdu Ruixu Electronic Technology Co., Ltd. Recent Developments
- 9.9 Guangzhou Jiankun Network Technology Development Co., Ltd.
- 9.9.1 Guangzhou Jiankun Network Technology Development Co., Ltd. Basic Information
- 9.9.2 Guangzhou Jiankun Network Technology Development Co., Ltd. AI Smart Farming Product Overview
- 9.9.3 Guangzhou Jiankun Network Technology Development Co., Ltd. AI Smart Farming Product Market Performance
- 9.9.4 Guangzhou Jiankun Network Technology Development Co., Ltd. Business Overview
- 9.9.5 Guangzhou Jiankun Network Technology Development Co., Ltd. Recent Developments
- 9.10 Vision Century (Beijing) Technology Co., Ltd.
- 9.10.1 Vision Century (Beijing) Technology Co., Ltd. Basic Information
- 9.10.2 Vision Century (Beijing) Technology Co., Ltd. AI Smart Farming Product Overview
- 9.10.3 Vision Century (Beijing) Technology Co., Ltd. AI Smart Farming Product Market Performance
- 9.10.4 Vision Century (Beijing) Technology Co., Ltd. Business Overview
- 9.10.5 Vision Century (Beijing) Technology Co., Ltd. Recent Developments
- 9.1 Ro-main
- 10 AI Smart Farming Market Forecast by Region
- 10.1 Global AI Smart Farming Market Size Forecast
- 10.2 Global AI Smart Farming Market Forecast by Region
- 10.2.1 North America Market Size Forecast by Country
- 10.2.2 Europe AI Smart Farming Market Size Forecast by Country
- 10.2.3 Asia Pacific AI Smart Farming Market Size Forecast by Region
- 10.2.4 South America AI Smart Farming Market Size Forecast by Country
- 10.2.5 Middle East and Africa Forecasted Sales of AI Smart Farming by Country
- 11 Forecast Market by Type and by Application (2026-2035)
- 11.1 Global AI Smart Farming Market Forecast by Type (2026-2035)
- 11.1.1 Global AI Smart Farming Market Size Forecast by Type (2026-2035)
- 11.2 Global AI Smart Farming Market Forecast by Application (2026-2035)
- 11.2.1 Global AI Smart Farming Market Size (M USD) Forecast by Application (2026-2035)
- 11.1 Global AI Smart Farming Market Forecast by Type (2026-2035)
- 12 Conclusion and Key Findings