Artificial Intelligence in Agriculture Market Trends Analysis Research Report by Technology: Machine Learning & Deep Learning, Predictive Analytics, Computer Vision; By Application: Precision Farming, Drone Analytics, Agriculture Robots, Livestock Monitoring, Others) - Global Industry Analysis, Size, Share, Growth, Trends, Regional Outlook, and Forecast 2024-2030
Pages: 122| Feb-2024 Formats | PDF | Category: Information and Technology | Delivery: 24 to 72 Hours
Artificial Intelligence in Agriculture Market Overview
Artificial Intelligence in Agriculture Market is expected to grow rapidly at a 23.4% CAGR consequently, it will grow from its existing size of from $1.8 billion in 2024 to $ 5.8 billion by 2030. For Insights Consultancy presents an extensive market analysis report titled “Artificial Intelligence in Agriculture Market Report 2024″providing businesses with an edge in competition by providing a thorough analysis of market structures with estimates for various segmentations and segments. The report also focuses new trends, major drivers, challenges, as well as opportunities. The report provides all necessary information needed to thrive in the Artificial Intelligence in Agriculture industry. This report is about Artificial Intelligence in Agriculture market research provides a complete analysis, which includes a comprehensive analysis of the current and future trends in the market. Artificial intelligence (AI) has become a revolutionary technology in the agricultural sector and is revolutionizing the way agriculture as well as related tasks are carried out.
AI-related technologies, like machine learning computers, computer vision as well as the use of data analytics are being used to tackle these obstacles and let the possibilities of farming. Artificial Intelligence in Agriculture is more than conventional farming practices, allowing farmers and other stakeholders in agriculture to make use of data-driven insight and intelligent decision-making in order to increase efficiency, improve use of resources, and solve different agronomic concerns. The combination in Artificial Intelligence in Agriculture enables the gathering and analysis of massive amounts of information from various sources like weather patterns and soil conditions and crop health, as well as historic data on farming. Through processing and interpreting this information, AI systems can provide useful information to farmers and allow them to make informed choices to increase yields, cut the amount of waste and reduce environmental impact. One of the main advantages from AI for agriculture lies in the ability to automate repetitive tasks with the help of robots and intelligent machinery. These advances help ease shortages of labor and enable farmers to concentrate on more strategies and operations.
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Trends 2024
The integration of drones as well as Artificial Intelligence in Agriculture can offer huge opportunities for maximizing agriculture operations, reducing costs and increasing sustainability. Through the use in AI to analyze data captured by drones farmers are able to make better decisions based on data, improve resource allocation and reach more efficient production. Thus, drone analytics is likely to be a major driving force in agriculture’s AI market in the field of agriculture. Drones with high-resolution cameras as well as sensors can gather huge quantities of information about the soil, crops and field characteristics. Together with AI-powered analytics these data can help farmers gain valuable insight into their crop health, levels of nutrient as well as pest infestations and other factors that impact agricultural production.
Artificial Intelligence in Agriculture Market Dynamics
Growth Drivers
Growing population and increasing food demand
The population of the world continues to increase, leading to a greater need to produce food. AI technology in agriculture allows farmers to increase crop yields and maximize use of resources to meet growing food needs sustainable. For example, in the middle of November 2022, the population was 8.0 billion people living on the globe. The population of the world is predicted to increase by 2 billion in the coming 30 years, increasing from 8 billion today to 9.7 billion by 2050. As a growing population increases the need for higher yields on crops, AI is capable of slowing down the speed of agricultural production in many ways. Therefore, the increase in the population and growing demand for food are expected to boost market growth over the next few years.
Restraints
Low-cost and untrained labor
The cost initial for installation poses a significant obstacle to the expansion of this industry. Rural households with low incomes and other areas find the price for intelligent agriculture is a significant obstacle, based of the specifics, which slows the widespread use of these advanced technology. Because of the fragmentation of land and the steep cost at the beginning there is no uniformization of the massive amount of information accumulated which leads to the inefficient use of resources, which significantly restricts growth in the market during the time period of analysis.
Artificial Intelligence in Agriculture Market Segment Analysis
The Artificial Intelligence (AI) in agriculture market is experiencing significant growth, driven by the increasing need for precision farming and sustainable agriculture practices. One prominent segment within this market is crop monitoring. AI technologies, including computer vision and machine learning algorithms, are employed for real-time analysis of satellite and drone imagery to assess crop health, detect diseases, and optimize irrigation and fertilization. Another key segment is predictive analytics, where AI is utilized to analyze historical data, weather patterns, and other variables to make accurate predictions about crop yields, disease outbreaks, and optimal planting times. AI-driven robotics is emerging as a crucial segment, with smart machines being deployed for tasks such as automated harvesting, weeding, and planting.
Additionally, supply chain management is a significant application, as AI helps optimize logistics, monitor inventory, and enhance decision-making processes for better distribution of agricultural products. The Artificial Intelligence in Agriculture market is characterized by a growing focus on sustainable practices, resource efficiency, and the integration of Internet of Things (IoT) devices, contributing to improved yields and reduced environmental impact. As technology continues to advance, the market is likely to witness further segmentation and specialization, fostering innovation in AI applications tailored to the unique challenges of the agriculture sector.
Competitive Landscape of the Artificial Intelligence in Agriculture Market
Deere & Company (US), IBM (US), Microsoft (US), The Climate Corporation (US), Farmers Edge Inc. (Canada), Granular Inc. (Canada), AgEagle Aerial Systems Inc. (US), Descartes Labs, Inc. (US)
New Developments
October 2022 – Microsoft announced, FarmVibes open-sourced by Microsoft Research.AI, a collection of machine-learning models and technologies for sustainable agriculture. FarmVibes.AI comprises data processing methods for merging several kinds of spatiotemporal and geographic data, such as weather data and satellite and drone footage.
Artificial Intelligence in Agriculture Market Regional Insights
North America is Expected to Hold Significant Market Share
The North American artificial intelligence (AI) market in the field of agriculture is an important segment of the overall agriculture technology industry. It is believed that the North American AI market in agriculture has seen significant growth. Due to the growing use of AI technology in the agriculture sector this market is likely to grow significantly in the near future. Factors like the need for greater productivity, the increasing demands for precision farming techniques and the accessibility of high-tech infrastructure are contributing to the growth of the market. North American farmers and agricultural businesses are using AI technologies to boost efficiency, improve resource allocation, and boost decisions. AI applications for the agricultural sector in the region include precision agriculture remote sensing monitoring of crops predictive analytics, as well as agricultural systems that are automated. These tools assist farmers in making more informed decisions, improve yields, decrease cost, and minimize the risk. Segments Covered in the Artificial Intelligence in Agriculture Market
Segments Covered in the Artificial Intelligence in Agriculture Market
By Component
- Hardware
- Software
- Services
By Technology
- Machine Learning & Deep Learning
- Predictive Analytics
- Computer Vision
By Application
- Precision Farming
- Drone Analytics
- Agriculture Robots
- Livestock Monitoring
- Others
Frequently Asked Questions:
How big Artificial Intelligence in Agriculture Market?
Artificial Intelligence in Agriculture Market is expected to grow rapidly at a 23.4% CAGR consequently, it will grow from its existing size of from $1.8 billion in 2024 to $ 5.8 billion by 2030.
What is the future outlook for the Artificial Intelligence in Agriculture Market?
The future outlook for the Artificial Intelligence (AI) in agriculture market is optimistic, with transformative impacts expected as advanced technologies continue to reshape the farming landscape. The adoption of Artificial Intelligence in Agriculture is projected to accelerate, driven by the increasing global demand for food production, the need for sustainable farming practices, and the drive towards precision agriculture. One key aspect of the future landscape is the further integration of AI-powered technologies such as machine learning, computer vision, and robotics to enhance various facets of farming operations. Precision farming, enabled by AI, is likely to become more prevalent, optimizing resource use, reducing environmental impact, and improving crop yields.
What applications do Artificial Intelligence in Agriculture have?
Artificial Intelligence (AI) in agriculture has a diverse range of applications that are revolutionizing traditional farming practices. One significant application is crop monitoring, where AI-powered technologies such as computer vision and machine learning analyze satellite and drone imagery to provide real-time insights into crop health, detect diseases, and optimize irrigation and fertilization. Predictive analytics is another crucial application, leveraging AI algorithms to analyze historical data, weather patterns, and other variables to make accurate predictions about crop yields, pest outbreaks, and optimal planting times.
Which Are the Top Companies Hold the Market Share in Artificial Intelligence in Agriculture Market?
Deere & Company (US), IBM (US), Microsoft (US), The Climate Corporation (US), Farmers Edge Inc. (Canada), Granular Inc. (Canada), AgEagle Aerial Systems Inc. (US), Descartes Labs, Inc. (US)
Report Features This report gives the most complete information. The report on Artificial Intelligence in Agriculture format has been designed so that it can provide the best value to the business. It offers crucial insights into the market’s dynamic and will aid in strategic decision-making for current players as well as those looking to join the market.
What Deliverables Will You Get in this Report?
| Key questions this report answers | Relevant contents in the report |
| How big is the sales opportunity? | In-depth analysis of the Global Artificial Intelligence in Agriculture |
| How lucrative is the future? | Market forecast and trend data and emerging trends |
| Which regions offer the best sales opportunities? | Global, regional and country level historical data and forecasts |
| Which are the most attractive market Key segments? | Market segment analysis and forecast |
| Which are the top Key players and their market positioning? | Competitive landscape analysis, Market share analysis |
| How complex is the business environment? | Porter’s five forces analysis, PEST analysis, Life cycle analysis |
| What are the factors affecting the market? | Drivers & Restraints |
| Will I get the information on my specific requirement? | 10% free customization |
Table of Content
Chapter 1. Introduction
1.1. Research Objective
1.2. Scope of the Study
1.3. Definition
Chapter 2. Research Methodology (Premium Insights)
2.1. Research Approach
2.2. Data Sources
2.3. Assumptions & Limitations
Chapter 3. Executive Summary
3.1. Market Snapshot
Chapter 4. Market Variables and Scope
4.1. Introduction
4.2. Market Classification and Scope
4.3. Industry Value Chain Analysis
4.3.1. Raw Material Procurement Analysis
4.3.2. Sales and Distribution Channel Analysis
4.3.3. Downstream Buyer Analysis
Chapter 5. COVID 19 Impact on Artificial Intelligence in Agriculture Market
5.1. COVID-19 Landscape: Industry Impact
5.2. COVID 19 – Impact Assessment for the Industry
5.3. COVID 19 Impact: Global Major Government Policy
5.4. Market Trends and Opportunities in the COVID-19 Landscape
Chapter 6. Market Dynamics Analysis and Trends
6.1. Market Dynamics
6.1.1. Market Drivers
6.1.2. Market Restraints
6.1.3. Market Opportunities
6.2. Porter’s Five Forces Analysis
6.2.1. Bargaining power of suppliers
6.2.2. Bargaining power of buyers
6.2.3. Threat of substitute
6.2.4. Threat of new entrants
6.2.5. Degree of competition
Chapter 7. Competitive Landscape
7.1.1. Company Market Share/Positioning Analysis
7.1.2. Key Strategies Adopted by Players
7.1.3. Vendor Landscape
7.1.3.1. List of Suppliers
7.1.3.2. List of Buyers
Chapter 8. Global Artificial Intelligence in Agriculture Market, By Component
8.1. Artificial Intelligence in Agriculture Market, by Component, 2023-2032
8.1.1 Hardware
8.1.1.1. Market Revenue and Forecast (2023-2030)
8.1.2. Software
8.1.2.1. Market Revenue and Forecast (2023-2030)
8.1.3. Services
8.1.3.1. Market Revenue and Forecast (2023-2030)
Chapter 9. Global Artificial Intelligence in Agriculture Market, By Technology
9.1. Artificial Intelligence in Agriculture Market, by Technology, 2023-2032
9.1.1. Machine Learning & Deep Learning
9.1.1.1. Market Revenue and Forecast (2023-2030)
9.1.2. Predictive Analytics
9.1.2.1. Market Revenue and Forecast (2023-2030)
9.1.3. Computer Vision
9.1.3.1. Market Revenue and Forecast (2023-2030)
Chapter 10. Market, By Application
10.1. Artificial Intelligence in Agriculture Market, by Application, 2023-2032
10.1.1. Precision Farming
10.1.1.1. Market Revenue and Forecast (2023-2030)
10.1.2. Drone Analytics
10.1.2.1. Market Revenue and Forecast (2023-2030)
10.1.3. Agriculture Robots
10.1.3.1. Market Revenue and Forecast (2023-2030)
10.1.4. Livestock Monitoring
10.1.4.1. Market Revenue and Forecast (2023-2030)
10.1.5. Others
10.1.5.1. Market Revenue and Forecast (2023-2030)
Chapter 11. Market, Regional Estimates and Trend Forecast
11.1. North America
11.1.1. Market Revenue and Forecast, by Component (2023-2030)
11.1.2. Market Revenue and Forecast, by Technology (2023-2030)
11.1.3. Market Revenue and Forecast, by Application (2023-2030)
11.1.4. U.S.
11.1.4.1. Market Revenue and Forecast, by Component (2023-2030)
11.1.4.2. Market Revenue and Forecast, by Technology (2023-2030)
11.1.4.3. Market Revenue and Forecast, by Application (2023-2030)
11.1.5. Rest of North America
11.1.5.1. Market Revenue and Forecast, by Component (2023-2030)
11.1.5.2. Market Revenue and Forecast, by Technology (2023-2030)
11.1.5.3. Market Revenue and Forecast, by Application (2023-2030)
11.2. Europe
11.2.1. Market Revenue and Forecast, by Component (2023-2030)
11.2.2. Market Revenue and Forecast, by Technology (2023-2030)
11.2.3. Market Revenue and Forecast, by Application (2023-2030)
11.2.4. UK
11.2.4.1. Market Revenue and Forecast, by Component (2023-2030)
11.2.4.2. Market Revenue and Forecast, by Technology (2023-2030)
11.2.4.3. Market Revenue and Forecast, by Application (2023-2030)
11.2.5. Germany
11.2.5.1. Market Revenue and Forecast, by Component (2023-2030)
11.2.5.2. Market Revenue and Forecast, by Technology (2023-2030)
11.2.5.3. Market Revenue and Forecast, by Application (2023-2030)
11.2.6. France
11.2.6.1. Market Revenue and Forecast, by Component (2023-2030)
11.2.6.2. Market Revenue and Forecast, by Technology (2023-2030)
11.2.6.3. Market Revenue and Forecast, by Application (2023-2030)
11.2.7. Rest of Europe
11.2.7.1. Market Revenue and Forecast, by Component (2023-2030)
11.2.7.2. Market Revenue and Forecast, by Technology (2023-2030)
11.2.7.3. Market Revenue and Forecast, by Application (2023-2030)
11.3. APAC
11.3.1. Market Revenue and Forecast, by Component (2023-2030)
11.3.2. Market Revenue and Forecast, by Technology (2023-2030)
11.3.3. Market Revenue and Forecast, by Application (2023-2030)
11.3.4. India
11.3.4.1. Market Revenue and Forecast, by Component (2023-2030)
11.3.4.2. Market Revenue and Forecast, by Technology (2023-2030)
11.3.4.3. Market Revenue and Forecast, by Application (2023-2030)
11.3.5. China
11.3.5.1. Market Revenue and Forecast, by Component (2023-2030)
11.3.5.2. Market Revenue and Forecast, by Technology (2023-2030)
11.3.5.3. Market Revenue and Forecast, by Application (2023-2030)
11.3.6. Japan
11.3.6.1. Market Revenue and Forecast, by Component (2023-2030)
11.3.6.2. Market Revenue and Forecast, by Technology (2023-2030)
11.3.6.3. Market Revenue and Forecast, by Application (2023-2030)
11.3.7. Rest of APAC
11.3.7.1. Market Revenue and Forecast, by Component (2023-2030)
11.3.7.2. Market Revenue and Forecast, by Technology (2023-2030)
11.3.7.3. Market Revenue and Forecast, by Application (2023-2030)
11.4. MEA
11.4.1. Market Revenue and Forecast, by Component (2023-2030)
11.4.2. Market Revenue and Forecast, by Technology (2023-2030)
11.4.3. Market Revenue and Forecast, by Application (2023-2030)
11.4.4. GCC
11.4.4.1. Market Revenue and Forecast, by Component (2023-2030)
11.4.4.2. Market Revenue and Forecast, by Technology (2023-2030)
11.4.4.3. Market Revenue and Forecast, by Application (2023-2030)
11.4.5. North Africa
11.4.5.1. Market Revenue and Forecast, by Component (2023-2030)
11.4.5.2. Market Revenue and Forecast, by Technology (2023-2030)
11.4.5.3. Market Revenue and Forecast, by Application (2023-2030)
11.4.6. South Africa
11.4.6.1. Market Revenue and Forecast, by Component (2023-2030)
11.4.6.2. Market Revenue and Forecast, by Technology (2023-2030)
11.4.6.3. Market Revenue and Forecast, by Application (2023-2030)
11.4.7. Rest of MEA
11.4.7.1. Market Revenue and Forecast, by Component (2023-2030)
11.4.7.2. Market Revenue and Forecast, by Technology (2023-2030)
11.4.7.3. Market Revenue and Forecast, by Application (2023-2030)
11.5. Latin America
11.5.1. Market Revenue and Forecast, by Component (2023-2030)
11.5.2. Market Revenue and Forecast, by Technology (2023-2030)
11.5.3. Market Revenue and Forecast, by Application (2023-2030)
11.5.4. Brazil
11.5.4.1. Market Revenue and Forecast, by Component (2023-2030)
11.5.4.2. Market Revenue and Forecast, by Technology (2023-2030)
11.5.4.3. Market Revenue and Forecast, by Application (2023-2030)
11.5.5. Rest of LATAM
11.5.5.1. Market Revenue and Forecast, by Component (2023-2030)
11.5.5.2. Market Revenue and Forecast, by Technology (2023-2030)
11.5.5.3. Market Revenue and Forecast, by Application (2023-2030)
Chapter 12. Company Profiles
12.1. Microsoft
12.1.1. Company Overview
12.1.2. Product Offerings
12.1.3. Financial Performance
12.1.4. Recent Initiatives
12.2. IBM Corporation
12.2.1. Company Overview
12.2.2. Product Offerings
12.2.3. Financial Performance
12.2.4. Recent Initiatives
12.3. Granular, Inc.
12.3.1. Company Overview
12.3.2. Product Offerings
12.3.3. Financial Performance
12.3.4. Recent Initiatives
12.4. AgEagle Aerial Systems Inc.
12.4.1. Company Overview
12.4.2. Product Offerings
12.4.3. Financial Performance
12.4.4. Recent Initiatives
12.5. The Climate Corporation
12.5.1. Company Overview
12.5.2. Product Offerings
12.5.3. Financial Performance
12.5.4. Recent Initiatives
12.6. Deere & Company
12.6.1. Company Overview
12.6.2. Product Offerings
12.6.3. Financial Performance
12.6.4. Recent Initiatives
12.7. Descartes Labs, Inc.
12.7.1. Company Overview
12.7.2. Product Offerings
12.7.3. Financial Performance
12.7.4. Recent Initiatives
12.8. Prospera Technologies
12.8.1. Company Overview
12.8.2. Product Offerings
12.8.3. Financial Performance
12.8.4. Recent Initiatives
12.9. GAMAYA
12.9.1. Company Overview
12.9.2. Product Offerings
12.9.3. Financial Performance
12.9.4. Recent Initiatives
12.10. aWhere Inc.
12.10.1. Company Overview
12.10.2. Product Offerings
12.10.3. Financial Performance
12.10.4. Recent Initiatives
Chapter 13. Research Methodology
13.1. Primary Research
13.2. Secondary Research
13.3. Assumptions
Chapter 14. Appendix
14.1. About Us
14.2. Glossary of Terms
Data Tables
TABLE 1 Artificial Intelligence in Agriculture market 360º synopsis, 2023-2030
TABLE 2 Artificial Intelligence in Agriculture market, 2023-2030, (USD Million)
TABLE 3 Artificial Intelligence in Agriculture market, 2023 – 2030, (USD Million)
TABLE 4 Artificial Intelligence in Agriculture TAM, 2023-2030
TABLE 5 Artificial Intelligence in Agriculture market, by component, 2023-2030, (USD Million)
TABLE 6 Artificial Intelligence in Agriculture market, by component, 2023 – 2030, (USD Million)
TABLE 7 Artificial Intelligence in Agriculture market, by technology,
TABLE 8 Artificial Intelligence in Agriculture market, by technology, 2023 – 2030, (USD Million)
TABLE 9 Artificial Intelligence in Agriculture market, by application,
TABLE 10 Artificial Intelligence in Agriculture market, by application, 2023 – 2030, (USD Million)
TABLE 11 Artificial Intelligence in Agriculture market, by region,
TABLE 12 Global market, by region, 2023 – 2030 (USD Million)
TABLE 13 Covid-19 impact on North America Global market
TABLE 14 Covid-19 impact on Europe Global market
TABLE 15 Covid-19 impact on Asia Pacific Global market
TABLE 16 Covid-19 impact on Latin America Global market
TABLE 17 Covid-19 impact on MEA Global market
TABLE 18 Vendor matrix
TABLE 19 Patent analysis
TABLE 20 Industry impact forces
TABLE 21 Company market share
TABLE 22 Competitive analysis of major market players
TABLE 23 Solutions market, (USD Million)
TABLE 24 Solutions market, 2023 – 2030 (USD Million)
TABLE 25 Services market, (USD Million)
TABLE 26 Services market, 2023 – 2030 (USD Million)
TABLE 27 Machine learning market, (USD Million)
TABLE 28 Machine learning market, 2023 – 2030 (USD Million)
TABLE 29 Computer vision market, (USD Million)
TABLE 30 Computer vision market, 2023 – 2030 (USD Million)
TABLE 31 Predictive analysis market, (USD Million)
TABLE 32 Predictive analysis market, 2023 – 2030 (USD Million)
TABLE 33 Crop and soil monitoring market, (USD Million)
TABLE 34 Crop and soil monitoring market, 2023 – 2030 (USD Million)
TABLE 35 Livestock health monitoring market, 2018 – 2022 (USD Million)
TABLE 36 Livestock health monitoring market, 2023 – 2030 (USD Million)
TABLE 37 Intelligent spraying market, (USD Million)
TABLE 38 Intelligent spraying market, 2023 – 2030 (USD Million)
TABLE 39 Precision farming market, (USD Million)
TABLE 40 Precision farming market, 2023 – 2030 (USD Million)
TABLE 41 Agriculture robot market, (USD Million)
TABLE 42 Agriculture robot market, 2023 – 2030 (USD Million)
TABLE 43 Weather data and forecast market, (USD Million)
TABLE 44 Weather data and forecast market, 2023 – 2030 (USD Million)
TABLE 45 Others market, (USD Million)
TABLE 46 Others market, 2023 – 2030 (USD Million)
TABLE 47 North America Artificial Intelligence in Agriculture market, (USD Million)
TABLE 48 North America Global market, 2023 – 2030 (USD Million)
TABLE 49 North America Global market, by component, (USD Million)
TABLE 50 North America Global market, by component, 2023 – 2030 (USD Million)
TABLE 51 North America Global market, by technology, (USD Million)
TABLE 52 North America Global market, by technology, 2023 – 2030 (USD Million)
TABLE 53 North America Global market, by application, (USD Million)
TABLE 54 North America Global market, by application, 2023 – 2030 (USD Million)
TABLE 55 U.S. Artificial Intelligence in Agriculture market, (USD Million)
TABLE 56 U.S. Artificial Intelligence in Agriculture market, 2023 – 2030 (USD Million)
TABLE 57 U.S. Global market, by component, (USD Million)
TABLE 58 U.S. Artificial Intelligence in Agriculture market, by component, 2023 – 2030 (USD Million)
TABLE 59 U.S. Artificial Intelligence in Agriculture market, by technology, (USD Million)
TABLE 60 U.S. Artificial Intelligence in Agriculture market, by technology, 2023 – 2030 (USD Million)
TABLE 61 U.S. Artificial Intelligence in Agriculture market, by application, (USD Million)
TABLE 62 U.S. Artificial Intelligence in Agriculture market, by application, 2023 – 2030 (USD Million)
TABLE 63 U.S. Artificial Intelligence in Agriculture market, (USD Million)
TABLE 64 U.S. Artificial Intelligence in Agriculture market, 2023 – 2030 (USD Million)
TABLE 65 U.S. Artificial Intelligence in Agriculture market, by component, (USD Million)
TABLE 66 U.S. Artificial Intelligence in Agriculture market, by component, 2023 – 2030 (USD Million)
TABLE 67 U.S. Artificial Intelligence in Agriculture market, by technology, (USD Million)
TABLE 68 U.S. Artificial Intelligence in Agriculture market, by technology, 2023 – 2030 (USD Million)
TABLE 69 U.S. Artificial Intelligence in Agriculture market, by application, (USD Million)
TABLE 70 U.S. Artificial Intelligence in Agriculture market, by application, 2023 – 2030 (USD Million)
TABLE 71 Canada Artificial Intelligence in Agriculture market, (USD Million)
TABLE 72 Canada Artificial Intelligence in Agriculture market, 2023 – 2030 (USD Million)
TABLE 73 Canada Artificial Intelligence in Agriculture market, by component, (USD Million)
TABLE 74 Canada Artificial Intelligence in Agriculture market, by component, 2023 – 2030 (USD Million)
TABLE 75 Canada Artificial Intelligence in Agriculture market, by technology, (USD Million)
TABLE 76 Canada Artificial Intelligence in Agriculture market, by technology, 2023 – 2030 (USD Million)
TABLE 77 Canada Artificial Intelligence in Agriculture market, by application, (USD Million)
TABLE 78 Canada Artificial Intelligence in Agriculture market, by application, 2023 – 2030 (USD Million)
TABLE 79 Europe Artificial Intelligence in Agriculture market, 2018 – 2022 (USD Million)
TABLE 80 Europe Artificial Intelligence in Agriculture market, 2023 – 2030 (USD Million)
TABLE 81 Europe Artificial Intelligence in Agriculture market, by component, 2018 – 2022 (USD Million)
TABLE 82 Europe Artificial Intelligence in Agriculture market, by component, 2023 – 2030 (USD Million)
TABLE 83 Europe Artificial Intelligence in Agriculture market, by technology, 2018 – 2022 (USD Million)
TABLE 84 Europe Artificial Intelligence in Agriculture market, by technology, 2023 – 2030 (USD Million)
TABLE 85 Europe Artificial Intelligence in Agriculture market, by application, 2018 – 2022 (USD Million)
TABLE 86 Europe Artificial Intelligence in Agriculture market, by application, 2023 – 2030 (USD Million)
TABLE 87 UK Artificial Intelligence in Agriculture market, 2018 – 2022 (USD Million)
TABLE 88 UK Artificial Intelligence in Agriculture market, 2023 – 2030 (USD Million)
TABLE 89 UK Artificial Intelligence in Agriculture market, by component, 2018 – 2022 (USD Million)
TABLE 90 UK Artificial Intelligence in Agriculture market, by component, 2023 – 2030 (USD Million)
TABLE 91 UK Artificial Intelligence in Agriculture market, by technology, 2018 – 2022 (USD Million)
TABLE 92 UK Artificial Intelligence in Agriculture market, by technology, 2023 – 2030 (USD Million)
TABLE 93 UK Artificial Intelligence in Agriculture market, by application, 2018 – 2022 (USD Million)
TABLE 94 UK Artificial Intelligence in Agriculture market, by application, 2023 – 2030 (USD Million)
TABLE 95 Germany Artificial Intelligence in Agriculture market, 2018 – 2022 (USD Million)
TABLE 96 Germany market, 2023 – 2030 (USD Million)
TABLE 97 Germany market, by component, 2018 – 2022 (USD Million)
TABLE 98 Germany market, by component, 2023 – 2030 (USD Million)
TABLE 99 Germany market, by technology, 2018 – 2022 (USD Million)
TABLE 100 Germany market, by technology, 2023 – 2030 (USD Million)
TABLE 101 Germany Artificial Intelligence in Agriculture market, by application, 2018 – 2022 (USD Million)
TABLE 102 Germany market, by application, 2023 – 2030 (USD Million)
TABLE 103 France market, 2018 – 2022 (USD Million)
TABLE 104 France market, 2023 – 2030 (USD Million)
TABLE 105 France market, by component, 2018 – 2022 (USD Million)
TABLE 106 France market, by component, 2023 – 2030 (USD Million)
TABLE 107 France market, by technology, 2018 – 2022 (USD Million)
TABLE 108 France market, by technology, 2023 – 2030 (USD Million)
TABLE 109 France market, by application, 2018 – 2022 (USD Million)
TABLE 110 France Artificial Intelligence in Agriculture market, by application, 2023 – 2030 (USD Million)
TABLE 111 Italy Artificial Intelligence in Agriculture market, 2018 – 2022 (USD Million)
TABLE 112 Italy market, 2023 – 2030 (USD Million)
TABLE 113 Italy market, by component, 2018 – 2022 (USD Million)
TABLE 114 Italy market, by component, 2023 – 2030 (USD Million)
TABLE 115 Italy market, by technology, 2018 – 2022 (USD Million)
TABLE 116 Italy market, by technology, 2023 – 2030 (USD Million)
TABLE 117 Italy market, by application, 2018 – 2022 (USD Million)
TABLE 118 Italy Artificial Intelligence in Agriculture market, by application, 2023 – 2030 (USD Million)
TABLE 119 Spain Artificial Intelligence in Agriculture market, 2018 – 2022 (USD Million)
TABLE 120 Spain market, 2023 – 2030 (USD Million)
TABLE 121 Spain market, by component, 2018 – 2022 (USD Million)
TABLE 122 Spain market, by component, 2023 – 2030 (USD Million)
TABLE 123 Spain market, by technology, 2018 – 2022 (USD Million)
TABLE 124 Spain market, by technology, 2023 – 2030 (USD Million)
TABLE 125 Spain market, by application, 2018 – 2022 (USD Million)
TABLE 126 Spain Artificial Intelligence in Agriculture market, by application, 2023 – 2030 (USD Million)
TABLE 127 Asia Pacific market, 2018 – 2022 (USD Million)
TABLE 128 Asia Pacific market, 2023 – 2030 (USD Million)
TABLE 129 Asia Pacific market, by component, 2018 – 2022 (USD Million)
TABLE 130 Asia Pacific market, by component, 2023 – 2030 (USD Million)
TABLE 131 Asia Pacific market, by technology, 2018 – 2022 (USD Million)
TABLE 132 Asia Pacific market, by technology, 2023 – 2030 (USD Million)
TABLE 133 Asia Pacific market, by application, 2018 – 2022 (USD Million)
TABLE 134 Asia Pacific Artificial Intelligence in Agriculture market, by application, 2023 – 2030 (USD Million)
TABLE 135 China Artificial Intelligence in Agriculture market, 2018 – 2022 (USD Million)
TABLE 136 China market, 2023 – 2030 (USD Million)
TABLE 137 China market, by component, 2018 – 2022 (USD Million)
TABLE 138 China market, by component, 2023 – 2030 (USD Million)
TABLE 139 China market, by technology, 2018 – 2022 (USD Million)
TABLE 140 China market, by technology, 2023 – 2030 (USD Million)
TABLE 141 China market, by application, 2018 – 2022 (USD Million)
TABLE 142 China market, by application, 2023 – 2030 (USD Million)
TABLE 143 India Artificial Intelligence in Agriculture market, 2018 – 2022 (USD Million)
TABLE 144 India market, 2023 – 2030 (USD Million)
TABLE 145 India market, by component, 2018 – 2022 (USD Million)
TABLE 146 India market, by component, 2023 – 2030 (USD Million)
TABLE 147 India market, by technology, 2018 – 2022 (USD Million)
TABLE 148 India market, by technology, 2023 – 2030 (USD Million)
TABLE 149 India market, by application, 2018 – 2022 (USD Million)
TABLE 150 India Artificial Intelligence in Agriculture market, by application, 2023 – 2030 (USD Million)
TABLE 151 Japan Artificial Intelligence in Agriculture market, 2018 – 2022 (USD Million)
TABLE 152 Japan market, 2023 – 2030 (USD Million)
TABLE 153 Japan market, by component, 2018 – 2022 (USD Million)
TABLE 154 Japan market, by component, 2023 – 2030 (USD Million)
TABLE 155 Japan market, by technology, 2018 – 2022 (USD Million)
TABLE 156 Japan market, by technology, 2023 – 2030 (USD Million)
TABLE 157 Japan market, by application, 2018 – 2022 (USD Million)
TABLE 158 Japan market, by application, 2023 – 2030 (USD Million)
TABLE 159 Singapore Artificial Intelligence in Agriculture market, 2018 – 2022 (USD Million)
TABLE 160 Singapore market, 2023 – 2030 (USD Million)
TABLE 161 Singapore Artificial Intelligence in Agriculture market, by component, 2018 – 2022 (USD Million)
TABLE 162 Singapore market, by component, 2023 – 2030 (USD Million)
TABLE 163 Singapore market, by technology, 2018 – 2022 (USD Million)
TABLE 164 Singapore market, by technology, 2023 – 2030 (USD Million)
TABLE 165 Singapore market, by application, 2018 – 2022 (USD Million)
TABLE 166 Singapore Artificial Intelligence in Agriculture market, by application, 2023 – 2030 (USD Million)
TABLE 167 ANZ Artificial Intelligence in Agriculture market, 2018 – 2022 (USD Million)
TABLE 168 ANZ market, 2023 – 2030 (USD Million)
TABLE 169 ANZ market, by component, 2018 – 2022 (USD Million)
TABLE 170 ANZ market, by component, 2023 – 2030 (USD Million)
TABLE 171 ANZ market, by technology, 2018 – 2022 (USD Million)
TABLE 172 ANZ market, by technology, 2023 – 2030 (USD Million)
TABLE 173 ANZ market, by application, 2018 – 2022 (USD Million)
TABLE 174 ANZ market, by application, 2023 – 2030 (USD Million)
TABLE 175 Latin America Artificial Intelligence in Agriculture market, 2018 – 2022 (USD Million)
TABLE 176 Latin market, 2023 – 2030 (USD Million)
TABLE 177 Latin market, by component, 2018 – 2022 (USD Million)
TABLE 178 Latin market, by component, 2023 – 2030 (USD Million)
TABLE 179 Latin market, by technology, 2018 – 2022 (USD Million)
TABLE 180 Latin market, by technology, 2023 – 2030 (USD Million)
TABLE 181 Latin market, by application, 2018 – 2022 (USD Million)
TABLE 182 Latin America Artificial Intelligence in Agriculture market, by application, 2023 – 2030 (USD Million)
TABLE 183 Brazil Artificial Intelligence in Agriculture market, 2018 – 2022 (USD Million)
TABLE 184 Brazil market, 2023 – 2030 (USD Million)
TABLE 185 Brazil market, by component, 2018 – 2022 (USD Million)
TABLE 186 Brazil market, by component, 2023 – 2030 (USD Million)
TABLE 187 Brazil market, by technology, 2018 – 2022 (USD Million)
TABLE 188 Brazil market, by technology, 2023 – 2030 (USD Million)
TABLE 189 Brazil market, by application, 2018 – 2022 (USD Million)
TABLE 190 Brazil Artificial Intelligence in Agriculture market, by application, 2023 – 2030 (USD Million)
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