North America Artificial Intelligence in Agriculture Market Forecast to 2030 - Regional Analysis - by Component (Hardware, Software, and Services) and Application (Precision Farming, Drone Analytics, Agriculture Robots, Livestock Monitoring, and Others)
The North America artificial intelligence in agriculture market was valued at US$ 644.45 million in 2022 and is expected to reach US$ 3,126.97 million by 2030; it is estimated to record a CAGR of 21.8% from 2022 to 2030.
Increasing Need for Real-Time Analytics in Agriculture Fuels North America Artificial Intelligence in Agriculture Market
Real-time data from agricultural farms enables timely decision-making for preventative measures. AI provides real-time data and insights on soil moisture, crop growth, and weather conditions, which helps farmers make informed decisions about planting, irrigation, and fertilization. For instance, using computer vision to monitor crop growth can help farmers identify issues such as disease and pest infestation early, allowing them to take action before any significant damage. Farmers in North America employ sensors, drones, and soil samples in their farms to collect data related to soil moisture and nutrient levels. Farmers and producers in the US and Canada use high-tech instruments for data collection and analysis. The collection of the right data provides appropriate calculations and optimization of several operations, allowing more precise agriculture and faster decisions. For carrying out several agricultural operations, such as spraying pest-control chemicals or other compounds, the collection of real-time data is necessary.
The fluctuation in weather conditions has also surged the need for real-time analytics. Real-time weather monitoring assists in precise irrigation, reducing water wastage, and maximizing crop yield. It aids in effective pest control by monitoring weather conditions that favor pests, reducing the need for broad-spectrum pesticides. Thus, the increasing need for real-time analytics in agriculture drives the AI in agriculture market.
North America Artificial Intelligence in Agriculture Market Overview
The North America AI in agriculture market is segmented into the US, Canada, and Mexico. The market in North America represents a sizeable portion of the broader agricultural technology sector. The AI in agricultural market in North America has been growing at a significant rate due to the growing adoption of AI technology in the agriculture sector. The demand for precision farming techniques is growing, and factors, including the necessity for greater production and the availability of advanced infrastructure, are driving the market expansion. AI is being embraced by farmers and agricultural enterprises in North America in order to increase productivity, optimize resource allocation, and improve decision-making. Predictive analytics, automated farming systems, crop monitoring, remote sensing, precision agriculture, and automated farming are a few of the AI applications used in the region's agriculture sector. These tools assist farmers in lowering expenses, mitigating risks, increasing yields, and making data-driven decisions. The governments of North American countries are taking initiatives such as supportive laws and efforts, including regulatory frameworks, financing initiatives, and research grants, to encourage the deployment of AI in agriculture practices. Such programs support the development of resilient and sustainable agriculture practices while creating an atmosphere that is favorable for the expansion of the AI market. Furthermore, in order to leverage AI to enhance emergency response, agriculture, climate forecasting, and the electric grid, the US and the EU formed a partnership in January 2023.
Various players across North America are developing several algorithms to develop AI in agriculture. For example, in October 2022, Microsoft Research released FarmVibes as an open-source project. Such launches propelling the growth of AI in agriculture market.
North America Artificial Intelligence in Agriculture Market Revenue and Forecast to 2030 (US$ Million)
North America Artificial Intelligence in Agriculture Market Segmentation
The North America artificial intelligence in agriculture market is categorized into components, application, and country.
Based on component, the North America artificial intelligence in agriculture market is categorized into hardware, software, and services. The software segment held the largest market share in 2022.
In terms of application, the North America artificial intelligence in agriculture market is categorized into precision farming, drone analytics, agriculture robots, livestock monitoring, and others. The precision farming segment held the largest market share in 2022.
By country, the North America artificial intelligence in agriculture market is segmented into the US, Canada, and Mexico. The US dominated the North America artificial intelligence in agriculture market share in 2022.
Deere & Co, Climate LLC, International Business Machines Corp, Microsoft Corp, and Taranis are some of the leading companies operating in the North America artificial intelligence in agriculture market.
TABLE OF CONTENTS
1. Introduction
1.1 The Insight Partners Research Report Guidance
1.2 Market Segmentation
2. Executive Summary
2.1 Key Insights
2.2 Market Attractiveness
3. Research Methodology
3.1 Coverage
3.2 Secondary Research
3.3 Primary Research
4. Artificial Intelligence in Agriculture Market Landscape
4.1 Overview
4.2 PEST Analysis
4.3 Ecosystem Analysis
4.3.1 List of Vendors in the Value Chain
5. North America Artificial Intelligence in Agriculture Market - Key Market Dynamics
5.1 Market Drivers
5.1.1 Increasing Need for Real-Time Analytics in Agriculture
5.1.2 Growing Government Support for Implementation of AI Solution
5.1.3 Growing Use of Unmanned Ariel Vehicles (UAVs) in Farming
5.2 Restraints
5.2.1 Shortage of Technically Skilled Labour
5.2.2 High Implementation Cost of AI in Farming Equipment
5.3 Opportunity
5.3.1 Increasing Smart Farming
5.3.2 Potential Growth Opportunities in Developing Countries
5.4 Future Trend
5.4.1 Robotics and Automation in Agriculture
5.5 Impact of Drivers and Restraints:
6. Artificial Intelligence in Agriculture Market - North America Analysis
6.1 Artificial Intelligence in Agriculture Market Revenue (US$ Million), 2020-2030
6.2 Artificial Intelligence in Agriculture Market Forecast Analysis
7. North America Artificial Intelligence in Agriculture Market Analysis - by Component
7.1 Hardware
7.1.1 Overview
7.1.2 Hardware: Artificial Intelligence in Agriculture Market - Revenue and Forecast to 2030 (US$ Million)
7.2 Software
7.2.1 Overview
7.2.2 Software: Artificial Intelligence in Agriculture Market - Revenue and Forecast to 2030 (US$ Million)
7.3 Services
7.3.1 Overview
7.3.2 Services: Artificial Intelligence in Agriculture Market - Revenue and Forecast to 2030 (US$ Million)
8. North America Artificial Intelligence in Agriculture Market Analysis - by Application
8.1 Precision Farming
8.1.1 Overview
8.1.2 Precision Farming: Artificial Intelligence in Agriculture Market - Revenue and Forecast to 2030 (US$ Million)
8.2 Drone Analytics
8.2.1 Overview
8.2.2 Drone Analytics: Artificial Intelligence in Agriculture Market - Revenue and Forecast to 2030 (US$ Million)
8.3 Agriculture Robots
8.3.1 Overview
8.3.2 Agriculture Robots: Artificial Intelligence in Agriculture Market - Revenue and Forecast to 2030 (US$ Million)
8.4 Livestock Monitoring
8.4.1 Overview
8.4.2 Livestock Monitoring: Artificial Intelligence in Agriculture Market - Revenue and Forecast to 2030 (US$ Million)
8.5 Others
8.5.1 Overview
8.5.2 Others: Artificial Intelligence in Agriculture Market - Revenue and Forecast to 2030 (US$ Million)
9. Artificial Intelligence in Agriculture Market - Country Analysis
9.1 North America Artificial Intelligence in Agriculture Market Overview
9.1.1 North America: Artificial Intelligence in Agriculture Market - Revenue and Forecast Analysis - by Country
9.1.1.1 North America: Artificial Intelligence in Agriculture Market - Revenue and Forecast Analysis - by Country
9.1.1.2 United States: Artificial Intelligence in Agriculture Market - Revenue and Forecast to 2030 (US$ Million)
9.1.1.2.1 United States: Artificial Intelligence in Agriculture Market Breakdown, by Component
9.1.1.2.2 United States: Artificial Intelligence in Agriculture Market Breakdown, by Application
9.1.1.3 Canada: Artificial Intelligence in Agriculture Market - Revenue and Forecast to 2030 (US$ Million)
9.1.1.3.1 Canada: Artificial Intelligence in Agriculture Market Breakdown, by Component
9.1.1.3.2 Canada: Artificial Intelligence in Agriculture Market Breakdown, by Application
9.1.1.4 Mexico: Artificial Intelligence in Agriculture Market - Revenue and Forecast to 2030 (US$ Million)
9.1.1.4.1 Mexico: Artificial Intelligence in Agriculture Market Breakdown, by Component
9.1.1.4.2 Mexico: Artificial Intelligence in Agriculture Market Breakdown, by Application
10. Competitive Landscape
10.1 Heat Map Analysis by Key Players
10.2 Company Positioning & Concentration
11. Industry Landscape
11.1 Overview
11.2 Market Initiative
11.3 Product Development
11.4 Mergers & Acquisitions
12. Company Profiles
12.1 Tule Technologies Inc
12.1.1 Key Facts
12.1.2 Business Description
12.1.3 Products and Services
12.1.4 Financial Overview
12.1.5 SWOT Analysis
12.1.6 Key Developments
12.2 Deere & Co
12.2.1 Key Facts
12.2.2 Business Description
12.2.3 Products and Services
12.2.4 Financial Overview
12.2.5 SWOT Analysis
12.2.6 Key Developments
12.3 Climate LLC
12.3.1 Key Facts
12.3.2 Business Description
12.3.3 Products and Services
12.3.4 Financial Overview
12.3.5 SWOT Analysis
12.3.6 Key Developments
12.4 Gamaya SA
12.4.1 Key Facts
12.4.2 Business Description
12.4.3 Products and Services
12.4.4 Financial Overview
12.4.5 SWOT Analysis
12.4.6 Key Developments
12.5 International Business Machines Corp
12.5.1 Key Facts
12.5.2 Business Description
12.5.3 Products and Services
12.5.4 Financial Overview
12.5.5 SWOT Analysis
12.5.6 Key Developments
12.6 Microsoft Corp
12.6.1 Key Facts
12.6.2 Business Description
12.6.3 Products and Services
12.6.4 Financial Overview
12.6.5 SWOT Analysis
12.6.6 Key Developments
12.7 Prospera Technologies Ltd
12.7.1 Key Facts
12.7.2 Business Description
12.7.3 Products and Services
12.7.4 Financial Overview
12.7.5 SWOT Analysis
12.7.6 Key Developments
12.8 Taranis
12.8.1 Key Facts
12.8.2 Business Description
12.8.3 Products and Services
12.8.4 Financial Overview
12.8.5 SWOT Analysis
12.8.6 Key Developments
13. Appendix
13.1 Word Index
13.2 About The Insight Partners
LIST OF TABLES
Table 1. Artificial Intelligence in Agriculture Market Segmentation
Table 2. List of Vendors
Table 3. Artificial Intelligence in Agriculture Market - Revenue and Forecast to 2030 (US$ Million)
Table 4. Artificial Intelligence in Agriculture Market - Revenue and Forecast to 2030 (US$ Million) - by Component
Table 5. Artificial Intelligence in Agriculture Market - Revenue and Forecast to 2030 (US$ Million) - by Application
Table 6. North America: Artificial Intelligence in Agriculture Market - Revenue and Forecast to 2030 (US$ Million) - by Country
Table 7. United States: Artificial Intelligence in Agriculture Market - Revenue and Forecast to 2030 (US$ Million) - by Component
Table 8. United States: Artificial Intelligence in Agriculture Market - Revenue and Forecast to 2030 (US$ Million) - by Application
Table 9. Canada: Artificial Intelligence in Agriculture Market - Revenue and Forecast to 2030 (US$ Million) - by Component
Table 10. Canada: Artificial Intelligence in Agriculture Market - Revenue and Forecast to 2030 (US$ Million) - by Application
Table 11. Mexico: Artificial Intelligence in Agriculture Market - Revenue and Forecast to 2030 (US$ Million) - by Component
Table 12. Mexico: Artificial Intelligence in Agriculture Market - Revenue and Forecast to 2030 (US$ Million) - by Application
Table 13. Company Positioning & Concentration
Table 14. List of Abbreviation
LIST OF FIGURES
Figure 1. Artificial Intelligence in Agriculture Market Segmentation, by Country
Figure 2. PEST Analysis
Figure 3. Artificial Intelligence in Agriculture Market - Key Market Dynamics
Figure 4. Impact Analysis of Drivers and Restraints
Figure 5. Artificial Intelligence in Agriculture Market Revenue (US$ Million), 2020-2030
Figure 6. Artificial Intelligence in Agriculture Market Share (%) - by Component (2022 and 2030)
Figure 7. Hardware: Artificial Intelligence in Agriculture Market - Revenue and Forecast to 2030 (US$ Million)
Figure 8. Software: Artificial Intelligence in Agriculture Market - Revenue and Forecast to 2030 (US$ Million)
Figure 9. Services: Artificial Intelligence in Agriculture Market - Revenue and Forecast to 2030 (US$ Million)
Figure 10. Artificial Intelligence in Agriculture Market Share (%) - by Application (2022 and 2030)
Figure 11. Precision Farming: Artificial Intelligence in Agriculture Market - Revenue and Forecast to 2030 (US$ Million)
Figure 12. Drone Analytics: Artificial Intelligence in Agriculture Market - Revenue and Forecast to 2030 (US$ Million)
Figure 13. Agriculture Robots: Artificial Intelligence in Agriculture Market - Revenue and Forecast to 2030 (US$ Million)
Figure 14. Livestock Monitoring: Artificial Intelligence in Agriculture Market - Revenue and Forecast to 2030 (US$ Million)
Figure 15. Others: Artificial Intelligence in Agriculture Market - Revenue and Forecast to 2030 (US$ Million)
Figure 16. North America: Artificial Intelligence in Agriculture Market, by Key Country - Revenue (2022) (US$ Million)
Figure 17. North America: Artificial Intelligence in Agriculture Market Breakdown, by Key Countries, 2022 and 2030 (%)
Figure 18. United States: Artificial Intelligence in Agriculture Market - Revenue and Forecast to 2030 (US$ Million)
Figure 19. Canada: Artificial Intelligence in Agriculture Market - Revenue and Forecast to 2030 (US$ Million)
Figure 20. Mexico: Artificial Intelligence in Agriculture Market - Revenue and Forecast to 2030 (US$ Million)
Figure 21. Heat Map Analysis by Key Players
1. Taranis
2. Deere & Co
3. Climate LLC
4. International Business Machines Corp
5. Microsoft Corp
6. Tule Technologies Inc.
7. Gamaya SA
8. Prospera Technologies Ltd
- Save and reduce time carrying out entry-level research by identifying the growth, size, leading players, and segments in the North America artificial intelligence in agriculture market.
- Highlights key business priorities in order to assist companies to realign their business strategies.
- The key findings and recommendations highlight crucial progressive industry trends in the North America artificial intelligence in agriculture market, thereby allowing players across the value chain to develop effective long-term strategies.
- Develop/modify business expansion plans by using substantial growth offering developed and emerging markets.
- Scrutinize in-depth North America market trends and outlook coupled with the factors driving the North America artificial intelligence in agriculture market, as well as those hindering it.
- Enhance the decision-making process by understanding the strategies that underpin commercial interest with respect to client products, segmentation, pricing, and distribution.