Precision Livestock Market, Opportunity, Growth Drivers, Industry Trend Analysis and Forecast, 2024-2032

Description

The Global Precision Livestock Market is projected to witness 10% CAGR over 2024-2032, due to the rising demand for sustainable agricultural practices and enhanced food security. A 2022 study by the World Bank highlighted that precision farming could reduce resource use by up to 30%. Government initiatives and subsidies promoting innovative agricultural technologies accelerate the adoption of precision livestock systems. For example, the U.S. Department of Agriculture (USDA) allocated $50 million in 2023 to support precision agriculture technologies, reflecting a broader commitment to enhancing productivity and sustainability.

Technological advancements, such as the integration of Internet of Things (IoT) devices, artificial intelligence (AI), and machine learning, have revolutionized livestock management. These innovations enable real-time monitoring of animal health, behavior, and productivity, allowing farmers to make data-driven decisions that enhance efficiency and sustainability. This will further shape the market outlook.

The overall precision livestock industry is classified based on component, technology, application, end-use, and region.

The big data analytics segment will grow significantly through 2032, as it provides data-driven insights and decision-making. This technology allows for predictive modeling and trend analysis, forecasting potential health issues, optimizing feed and water usage, and improving overall herd productivity. The ability to process and interpret complex datasets not only enhances farm efficiency but also supports more informed and strategic decisions. Significant advancements in livestock management are favoring the deployment of big data analytics.

The behavior monitoring segment will hold a notable market share by 2032. By utilizing advanced sensors and tracking technologies, behavior monitoring solutions provide real-time insights into livestock behavior, including feeding patterns, movement, and social interactions. This data allows farmers to detect early signs of distress, illness, or changes in behavior, enabling timely intervention and tailored care. Additionally, behavior monitoring helps optimize feeding schedules and improve overall herd management by identifying optimal conditions for growth and productivity.

Europe Precision Livestock Market is experiencing robust growth, driven by technological innovation and regulatory support for sustainable agricultural practices. The region's focus on reducing the carbon footprint of agriculture and improving animal welfare aligns with the capabilities of precision livestock systems, which offer real-time monitoring and data-driven management solutions. Additionally, European Union initiatives and funding programs aimed at advancing agricultural technology further stimulate market growth.

Product Code: 10413

Chapter 1 Methodology and Scope

1.1 Research design
- 1.1.1 Research approach
- 1.1.2 Data collection methods
1.2 Base estimates and calculations
- 1.2.1 Base year calculation
- 1.2.2 Key trends for market estimation
1.3 Forecast model
1.4 Primary research and validation
- 1.4.1 Primary sources
- 1.4.2 Data mining sources
1.5 Market definition

Chapter 2 Executive Summary

2.1 Industry 360° synopsis, 2021 - 2032

Chapter 3 Industry Insights

3.1 Industry ecosystem analysis
3.2 Supplier landscape
- 3.2.1 Component manufacturers
- 3.2.2 Software providers
- 3.2.3 Service providers
- 3.2.4 End-user
3.3 Profit margin analysis
3.4 Technology and innovation landscape
3.5 Patent analysis
3.6 Key news and initiatives
3.7 Regulatory landscape
3.8 Impact forces
- 3.8.1 Growth drivers
  - 3.8.1.1 Increasing demand for animal products
  - 3.8.1.2 Focus on health and welfare of livestock
  - 3.8.1.3 Sustainability and environmental concerns
  - 3.8.1.4 Technological advancements
- 3.8.2 Industry pitfalls and challenges
  - 3.8.2.1 High upfront cost and limited internet access in some areas
  - 3.8.2.2 Requires technical expertise
3.9 Growth potential analysis
3.10 Porter's analysis
3.11 PESTEL analysis

Chapter 4 Competitive Landscape, 2023

4.1 Introduction
4.2 Company market share analysis
4.3 Competitive positioning matrix
4.4 Strategic outlook matrix

Chapter 5 Market Estimates and Forecast, By Component, 2018 - 2032 ($Bn)

5.1 Key trends
5.2 Hardware
5.3 Software
5.4 Service

Chapter 6 Market Estimates and Forecast, By Technology, 2018 - 2032 ($Bn)

6.1 Key trends
6.2 IoT
6.3 Big data analytics
6.4 AI
6.5 Robotics and automation
6.6 Cloud computing
6.7 Others

Chapter 7 Market Estimates and Forecast, By Application, 2018 - 2032 ($Bn)

7.1 Key trends
7.2 Health monitoring
7.3 Reproduction management
7.4 Feeding management
7.5 Milk harvesting management
7.6 Behavior monitoring
7.7 Others

Chapter 8 Market Estimates and Forecast, By End Use, 2018 - 2032 ($Bn)

8.1 Key trends
8.2 Dairy farms
8.3 Swine farms
8.4 Poultry farms
8.5 Aquaculture farms
8.6 Others

Chapter 9 Market Estimates and Forecast, By Region, 2018 - 2032 ($Bn)

9.1 Key trends
9.2 North America
- 9.2.1 U.S.
- 9.2.2 Canada
9.3 Europe
- 9.3.1 UK
- 9.3.2 Germany
- 9.3.3 France
- 9.3.4 Italy
- 9.3.5 Spain
- 9.3.6 Russia
- 9.3.7 Rest of Europe
9.4 Asia Pacific
- 9.4.1 China
- 9.4.2 India
- 9.4.3 Japan
- 9.4.4 South Korea
- 9.4.5 ANZ
- 9.4.6 Southeast Asia
- 9.4.7 Rest of Asia Pacific
9.5 Latin America
- 9.5.1 Brazil
- 9.5.2 Mexico
- 9.5.3 Rest of Latin America
9.6 MEA
- 9.6.1 South Africa
- 9.6.2 Saudi Arabia
- 9.6.3 UAE
- 9.6.4 Rest of MEA

Chapter 10 Company Profiles

10.1 AeroScout
10.2 Afimilk
10.3 Agrident
10.4 Allflex
10.5 BouMatic
10.6 Cainthus
10.7 Connecterra
10.8 DairyMaster
10.9 DeLaval
10.10 Fancom
10.11 FarmWizard
10.12 GEA Group
10.13 Hokofarm Group
10.14 Lely
10.15 Merck Animal Health
10.16 Moonsyst
10.17 Nedap Livestock Management
10.18 SCR Dairy
10.19 Smartbow
10.20 Zinpro Corporation