Market Overview:
The global intelligent pig farm market is expected to grow at a CAGR of XX% during the forecast period from 2018 to 2030. The market growth can be attributed to the increasing demand for meat and pork products, rising awareness about animal welfare, and technological advancements in the pig farming industry. The global intelligent pig farm market can be segmented on the basis of type, application, and region. On the basis of type, the market can be divided into automatic feeding systems, pig face recognition systems, and smart pigs. Automatic feeding systems are expected to account for a major share of the global intelligent pig farm market due to their ability to reduce labor costs and improve feed efficiency. Pig face recognition systems are used for identifying individual pigs in a herd and tracking their movements. They are also used for monitoring health conditions of pigs by detecting early signs of illness or injury. Smart pigs are equipped with sensors that collect data on various parameters such as temperature, humidity levels etc., which helps in improving production efficiency. On the basis of application,the global intelligent pig farm market can be classified into individual farmersand collective farmers segments .
Product Definition:
An intelligent pig farm is a facility where pigs are raised in an environment that allows for close monitoring of their health and well-being. Intelligent pig farms typically use technology to improve the welfare of the animals, including sensors that detect when pigs are sick or injured and automated feeding systems that ensure each pig gets the right amount of food.
Automatic Feeding:
Automatic feeding is a process where the animal feed is provided to the animals without any manual intervention. The technology involves sensors, automatic gates, and other devices that are used to monitor and regulate the feeding of livestock.
The factors that propel market growth include growing demand for dairy products such as milk, yogurt, butter; meat including beef & pork; eggs; and fish & seafood coupled with technological advancements in agriculture sector.
Pig Face Recognition:
Pig face recognition is a technology that enables the pigs to recognize their owner or other individuals. It helps in maintaining records of livestock and finds its application in intelligent pig farming. The technology provides information about health, feeding, breeding and also helps with the management of inventory as well as improves profit margins by reducing losses caused due to theft or loss of livestock.
Application Insights:
The individual farmer application segment accounted for the largest revenue share of over 60% in 2017. The growth can be attributed to the rising adoption of smart technologies across pig farms, especially in developed economies like the U.S., Canada, and Germany. In addition, a growing number of farmers are adopting these systems due to benefits provided such as cost-saving and enhanced productivity.
The use of AI pig farm system helps farmers optimize their time by focusing on more profitable activities while reducing costs associated with laborious data entry.
Regional Analysis:
North America dominated the global intelligent pig farm market in 2017. North America has a large number of producers and consumers of pork products. The region is characterized by technological advancements, high disposable income, and increasing demand for meat protein from countries such as China and India. Asia Pacific is expected to be the fastest-growing regional market over the forecast period owing to rising disposable income levels, improving standard of living due to growing industrialization & urbanization along with government initiatives for development in rural areas.
Europe accounted for more than 20% share in 2017 owing to early adoption by farmers coupled with higher spending on innovations across Europe pig farms industry verticals such as feed additives & technologies including automated feeding systems (AFS), face recognition sensors etc.).
Growth Factors:
- Increasing demand for pork due to population growth and changing dietary preferences
- Rising disposable income of consumers in developing countries
- Technological advancements in pig farming that improve productivity and reduce costs
- Growing awareness about the benefits of eating pork products from pigs raised on Intelligent Pig Farms
- Expansion of the global food processing industry
Scope Of The Report
Report Attributes
Report Details
Report Title
Intelligent Pig Farm Market Research Report
By Type
Automatic Feeding, Pig Face Recognition, Smart Pig
By Application
Individual Farmer, Collective Farmers
By Companies
Ali Cloud, Jingdong, Vanke, Cisco Systems, IBM, Telit, Hitachi, Huawei
Regions Covered
North America, Europe, APAC, Latin America, MEA
Base Year
2021
Historical Year
2019 to 2020 (Data from 2010 can be provided as per availability)
Forecast Year
2030
Number of Pages
216
Number of Tables & Figures
152
Customization Available
Yes, the report can be customized as per your need.
Global Intelligent Pig Farm Market Report Segments:
The global Intelligent Pig Farm market is segmented on the basis of:
Types
Automatic Feeding, Pig Face Recognition, Smart Pig
The product segment provides information about the market share of each product and the respective CAGR during the forecast period. It lays out information about the product pricing parameters, trends, and profits that provides in-depth insights of the market. Furthermore, it discusses latest product developments & innovation in the market.
Applications
Individual Farmer, Collective Farmers
The application segment fragments various applications of the product and provides information on the market share and growth rate of each application segment. It discusses the potential future applications of the products and driving and restraining factors of each application segment.
Some of the companies that are profiled in this report are:
- Ali Cloud
- Jingdong
- Vanke
- Cisco Systems
- IBM
- Telit
- Hitachi
- Huawei
Highlights of The Intelligent Pig Farm Market Report:
- The market structure and projections for the coming years.
- Drivers, restraints, opportunities, and current trends of market.
- Historical data and forecast.
- Estimations for the forecast period 2030.
- Developments and trends in the market.
- By Type:
- Automatic Feeding
- Pig Face Recognition
- Smart Pig
- By Application:
- Individual Farmer
- Collective Farmers
- Market scenario by region, sub-region, and country.
- Market share of the market players, company profiles, product specifications, SWOT analysis, and competitive landscape.
- Analysis regarding upstream raw materials, downstream demand, and current market dynamics.
- Government Policies, Macro & Micro economic factors are also included in the report.
We have studied the Intelligent Pig Farm Market in 360 degrees via. both primary & secondary research methodologies. This helped us in building an understanding of the current market dynamics, supply-demand gap, pricing trends, product preferences, consumer patterns & so on. The findings were further validated through primary research with industry experts & opinion leaders across countries. The data is further compiled & validated through various market estimation & data validation methodologies. Further, we also have our in-house data forecasting model to predict market growth up to 2030.
Regional Analysis
- North America
- Europe
- Asia Pacific
- Middle East & Africa
- Latin America
Note: A country of choice can be added in the report at no extra cost. If more than one country needs to be added, the research quote will vary accordingly.
The geographical analysis part of the report provides information about the product sales in terms of volume and revenue in regions. It lays out potential opportunities for the new entrants, emerging players, and major players in the region. The regional analysis is done after considering the socio-economic factors and government regulations of the countries in the regions.
How you may use our products:
- Correctly Positioning New Products
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8 Reasons to Buy This Report
- Includes a Chapter on the Impact of COVID-19 Pandemic On the Market
- Report Prepared After Conducting Interviews with Industry Experts & Top Designates of the Companies in the Market
- Implemented Robust Methodology to Prepare the Report
- Includes Graphs, Statistics, Flowcharts, and Infographics to Save Time
- Industry Growth Insights Provides 24/5 Assistance Regarding the Doubts in the Report
- Provides Information About the Top-winning Strategies Implemented by Industry Players.
- In-depth Insights On the Market Drivers, Restraints, Opportunities, and Threats
- Customization of the Report Available
Frequently Asked Questions?
Intelligent Pig Farm is a farm that uses intelligent pigs to help produce food. The farm uses sensors and cameras to monitor the pigs' activities, and then uses this information to make decisions about how the pigs should be treated. This allows the farm to produce more food with less waste, which is good for both the environment and the farmers themselves.
Some of the major players in the intelligent pig farm market are Ali Cloud, Jingdong, Vanke, Cisco Systems, IBM, Telit, Hitachi, Huawei.
Chapter 1 Executive Summary
Chapter 2 Assumptions and Acronyms Used
Chapter 3 Research Methodology
Chapter 4 Intelligent Pig Farm Market Overview
4.1 Introduction
4.1.1 Market Taxonomy
4.1.2 Market Definition
4.1.3 Macro-Economic Factors Impacting the Market Growth
4.2 Intelligent Pig Farm Market Dynamics
4.2.1 Market Drivers
4.2.2 Market Restraints
4.2.3 Market Opportunity
4.3 Intelligent Pig Farm Market - Supply Chain Analysis
4.3.1 List of Key Suppliers
4.3.2 List of Key Distributors
4.3.3 List of Key Consumers
4.4 Key Forces Shaping the Intelligent Pig Farm Market
4.4.1 Bargaining Power of Suppliers
4.4.2 Bargaining Power of Buyers
4.4.3 Threat of Substitution
4.4.4 Threat of New Entrants
4.4.5 Competitive Rivalry
4.5 Global Intelligent Pig Farm Market Size & Forecast, 2018-2028
4.5.1 Intelligent Pig Farm Market Size and Y-o-Y Growth
4.5.2 Intelligent Pig Farm Market Absolute $ Opportunity
Chapter 5 Global Intelligent Pig Farm Market Analysis and Forecast by Type
5.1 Introduction
5.1.1 Key Market Trends & Growth Opportunities by Type
5.1.2 Basis Point Share (BPS) Analysis by Type
5.1.3 Absolute $ Opportunity Assessment by Type
5.2 Intelligent Pig Farm Market Size Forecast by Type
5.2.1 Automatic Feeding
5.2.2 Pig Face Recognition
5.2.3 Smart Pig
5.3 Market Attractiveness Analysis by Type
Chapter 6 Global Intelligent Pig Farm Market Analysis and Forecast by Applications
6.1 Introduction
6.1.1 Key Market Trends & Growth Opportunities by Applications
6.1.2 Basis Point Share (BPS) Analysis by Applications
6.1.3 Absolute $ Opportunity Assessment by Applications
6.2 Intelligent Pig Farm Market Size Forecast by Applications
6.2.1 Individual Farmer
6.2.2 Collective Farmers
6.3 Market Attractiveness Analysis by Applications
Chapter 7 Global Intelligent Pig Farm Market Analysis and Forecast by Region
7.1 Introduction
7.1.1 Key Market Trends & Growth Opportunities by Region
7.1.2 Basis Point Share (BPS) Analysis by Region
7.1.3 Absolute $ Opportunity Assessment by Region
7.2 Intelligent Pig Farm Market Size Forecast by Region
7.2.1 North America
7.2.2 Europe
7.2.3 Asia Pacific
7.2.4 Latin America
7.2.5 Middle East & Africa (MEA)
7.3 Market Attractiveness Analysis by Region
Chapter 8 Coronavirus Disease (COVID-19) Impact
8.1 Introduction
8.2 Current & Future Impact Analysis
8.3 Economic Impact Analysis
8.4 Government Policies
8.5 Investment Scenario
Chapter 9 North America Intelligent Pig Farm Analysis and Forecast
9.1 Introduction
9.2 North America Intelligent Pig Farm Market Size Forecast by Country
9.2.1 U.S.
9.2.2 Canada
9.3 Basis Point Share (BPS) Analysis by Country
9.4 Absolute $ Opportunity Assessment by Country
9.5 Market Attractiveness Analysis by Country
9.6 North America Intelligent Pig Farm Market Size Forecast by Type
9.6.1 Automatic Feeding
9.6.2 Pig Face Recognition
9.6.3 Smart Pig
9.7 Basis Point Share (BPS) Analysis by Type
9.8 Absolute $ Opportunity Assessment by Type
9.9 Market Attractiveness Analysis by Type
9.10 North America Intelligent Pig Farm Market Size Forecast by Applications
9.10.1 Individual Farmer
9.10.2 Collective Farmers
9.11 Basis Point Share (BPS) Analysis by Applications
9.12 Absolute $ Opportunity Assessment by Applications
9.13 Market Attractiveness Analysis by Applications
Chapter 10 Europe Intelligent Pig Farm Analysis and Forecast
10.1 Introduction
10.2 Europe Intelligent Pig Farm Market Size Forecast by Country
10.2.1 Germany
10.2.2 France
10.2.3 Italy
10.2.4 U.K.
10.2.5 Spain
10.2.6 Russia
10.2.7 Rest of Europe
10.3 Basis Point Share (BPS) Analysis by Country
10.4 Absolute $ Opportunity Assessment by Country
10.5 Market Attractiveness Analysis by Country
10.6 Europe Intelligent Pig Farm Market Size Forecast by Type
10.6.1 Automatic Feeding
10.6.2 Pig Face Recognition
10.6.3 Smart Pig
10.7 Basis Point Share (BPS) Analysis by Type
10.8 Absolute $ Opportunity Assessment by Type
10.9 Market Attractiveness Analysis by Type
10.10 Europe Intelligent Pig Farm Market Size Forecast by Applications
10.10.1 Individual Farmer
10.10.2 Collective Farmers
10.11 Basis Point Share (BPS) Analysis by Applications
10.12 Absolute $ Opportunity Assessment by Applications
10.13 Market Attractiveness Analysis by Applications
Chapter 11 Asia Pacific Intelligent Pig Farm Analysis and Forecast
11.1 Introduction
11.2 Asia Pacific Intelligent Pig Farm Market Size Forecast by Country
11.2.1 China
11.2.2 Japan
11.2.3 South Korea
11.2.4 India
11.2.5 Australia
11.2.6 South East Asia (SEA)
11.2.7 Rest of Asia Pacific (APAC)
11.3 Basis Point Share (BPS) Analysis by Country
11.4 Absolute $ Opportunity Assessment by Country
11.5 Market Attractiveness Analysis by Country
11.6 Asia Pacific Intelligent Pig Farm Market Size Forecast by Type
11.6.1 Automatic Feeding
11.6.2 Pig Face Recognition
11.6.3 Smart Pig
11.7 Basis Point Share (BPS) Analysis by Type
11.8 Absolute $ Opportunity Assessment by Type
11.9 Market Attractiveness Analysis by Type
11.10 Asia Pacific Intelligent Pig Farm Market Size Forecast by Applications
11.10.1 Individual Farmer
11.10.2 Collective Farmers
11.11 Basis Point Share (BPS) Analysis by Applications
11.12 Absolute $ Opportunity Assessment by Applications
11.13 Market Attractiveness Analysis by Applications
Chapter 12 Latin America Intelligent Pig Farm Analysis and Forecast
12.1 Introduction
12.2 Latin America Intelligent Pig Farm Market Size Forecast by Country
12.2.1 Brazil
12.2.2 Mexico
12.2.3 Rest of Latin America (LATAM)
12.3 Basis Point Share (BPS) Analysis by Country
12.4 Absolute $ Opportunity Assessment by Country
12.5 Market Attractiveness Analysis by Country
12.6 Latin America Intelligent Pig Farm Market Size Forecast by Type
12.6.1 Automatic Feeding
12.6.2 Pig Face Recognition
12.6.3 Smart Pig
12.7 Basis Point Share (BPS) Analysis by Type
12.8 Absolute $ Opportunity Assessment by Type
12.9 Market Attractiveness Analysis by Type
12.10 Latin America Intelligent Pig Farm Market Size Forecast by Applications
12.10.1 Individual Farmer
12.10.2 Collective Farmers
12.11 Basis Point Share (BPS) Analysis by Applications
12.12 Absolute $ Opportunity Assessment by Applications
12.13 Market Attractiveness Analysis by Applications
Chapter 13 Middle East & Africa (MEA) Intelligent Pig Farm Analysis and Forecast
13.1 Introduction
13.2 Middle East & Africa (MEA) Intelligent Pig Farm Market Size Forecast by Country
13.2.1 Saudi Arabia
13.2.2 South Africa
13.2.3 UAE
13.2.4 Rest of Middle East & Africa (MEA)
13.3 Basis Point Share (BPS) Analysis by Country
13.4 Absolute $ Opportunity Assessment by Country
13.5 Market Attractiveness Analysis by Country
13.6 Middle East & Africa (MEA) Intelligent Pig Farm Market Size Forecast by Type
13.6.1 Automatic Feeding
13.6.2 Pig Face Recognition
13.6.3 Smart Pig
13.7 Basis Point Share (BPS) Analysis by Type
13.8 Absolute $ Opportunity Assessment by Type
13.9 Market Attractiveness Analysis by Type
13.10 Middle East & Africa (MEA) Intelligent Pig Farm Market Size Forecast by Applications
13.10.1 Individual Farmer
13.10.2 Collective Farmers
13.11 Basis Point Share (BPS) Analysis by Applications
13.12 Absolute $ Opportunity Assessment by Applications
13.13 Market Attractiveness Analysis by Applications
Chapter 14 Competition Landscape
14.1 Intelligent Pig Farm Market: Competitive Dashboard
14.2 Global Intelligent Pig Farm Market: Market Share Analysis, 2019
14.3 Company Profiles (Details – Overview, Financials, Developments, Strategy)
14.3.1 Ali Cloud
14.3.2 Jingdong
14.3.3 Vanke
14.3.4 Cisco Systems
14.3.5 IBM
14.3.6 Telit
14.3.7 Hitachi
14.3.8 Huawei
