by The global artificial intelligence in agriculture market size accounted for US$ 1.37 Bn in 2022 and is projected to reach around USD 11.13 Bn by 2032, at a remarkable CAGR of 23.3% from 2023 to 2032.
Key Takeaways:
- North America contributed more than 39% of revenue share in 2022.
- By component, the software segment is expected to dominate the market during the forecast period.
- By technology, the predictive analytics segment captured more than 47% of revenue share in 2022.
- By application, precision farming is expected to capture the largest market share over the forecast period.
Report Summary
The global artificial intelligence in agriculture market report provides a Point-by-Point and In-Depth analysis of global market size, regional and country-level market size, market share, segmentation market growth, competitive landscape, sales analysis, opportunities analysis, strategic market growth analysis, the impact of domestic and global market key players, value chain optimization, trade regulations, recent developments, product launches, area marketplace expanding, and technological innovations.
The study offers a comprehensive analysis on diverse features, including production capacities, demand, product developments, revenue generation, and sales in the artificial intelligence in agriculture market across the globe.
A comprehensive estimate on the artificial intelligence in agriculture market has been provided through an optimistic scenario as well as a conservative scenario, taking into account the sales of artificial intelligence in agriculture during the forecast period. Price point comparison by region with global average price is also considered in the study.
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Artificial Intelligence in Agriculture Market Report Scope
| Report Coverage | Details |
| Market Size in 2023 | USD 1.69 Billion |
| Market Size by 2032 | USD 11.13 Billion |
| Growth Rate from 2023 to 2032 | CAGR of 23.3% |
| Largest Market | North America |
| Base Year | 2022 |
| Forecast Period | 2023 to 2032 |
| Segments Covered | By Component, By Technology, and By Application |
| Regions Covered | North America, Europe, Asia-Pacific, Latin America, and Middle East & Africa |
Key Highlights:
Reports Coverage: It incorporates key market sections, key makers secured, the extent of items offered in the years considered, worldwide containerized artificial intelligence in agriculture market and study goals. Moreover, it contacts the division study gave in the report based on the sort of item and applications.
Market Outline: This area stresses the key investigations, market development rate, serious scene, market drivers, patterns, and issues notwithstanding the naturally visible pointers.
Market Production by Region: The report conveys information identified with import and fare, income, creation, and key players of every single local market contemplated are canvassed right now.
Also Read: Generative AI in Legal Market Size To Cross USD 781.55 Mn By 2032
Market Segments:
Application:
Based on the application, the market has been categorized into several segments, including precision farming, drone analytics, agriculture robots, livestock monitoring, and others. Among these, the precision farming segment is anticipated to hold a significant market share throughout the forecast period. Precision farming has emerged as one of the rapidly expanding AI-enabled applications in the agriculture sector, offering valuable benefits to farmers in terms of cost reduction and resource optimization.
The implementation of AI in precision farming facilitates data collection, interpretation, and analysis of digital information. For example, GPS-equipped combine harvesters utilize artificial intelligence to monitor harvest yield and assess field variability, considering factors like water levels, soil composition, and fungal presence, resulting in the generation of georeferenced data. The insights and forecasts obtained from this analysis enable farmers to tailor their use of fertilizers or pesticides more effectively.
Component:
The market for AI in agriculture can be categorized based on its components, which include hardware, software, and services. Among these components, the software segment is anticipated to hold a significant market share. Major industry players like IBM, Microsoft, and Deere & Company are actively providing AI-based solutions tailored for the agriculture sector. These AI-powered software solutions play a crucial role in enhancing crop productivity and yield through the implementation of predictive analytics and computer vision technologies.
The software segment’s growth is further fueled by the increasing adoption of predictive analytics-based software. Notable examples of such software include IBM Corporation’s Watson Decision Platform, Microsoft’s AI Sowing App, and Deere & Company’s See and Spray pesticide and herbicide distribution systems. These sophisticated AI solutions empower farmers by helping them identify the ideal time for crop sowing, detect crop diseases, monitor crop yield, and determine the optimal allocation of land, fertilizers, water, and pesticides.
Artificial Intelligence in Agriculture Market Players
The report includes the profiles of key artificial intelligence in agriculture market companies along with their SWOT analysis and market strategies. In addition, the report focuses on leading industry players with information such as company profiles, components and services offered, financial information, key development in past five years.
Major companies operating in this area
- Microsoft
- IBM Corporation
- Granular, Inc.
- AgEagle Aerial Systems Inc.
- The Climate Corporation
- Deere & Company
- Descartes Labs, Inc.
- Prospera Technologies
- GAMAYA
- aWhere Inc.
- Taranis
- ec2ce
- VineView
- PrecisionHawk
- Tule Technologies Inc.
Market Segmentation
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
Regional Segmentation
- North America (U.S., Canada, Mexico)
- Europe (Germany, France, U.K., Italy, Spain, Rest of Europe)
- Asia-Pacific (China, Japan, India, Southeast Asia and Rest of APAC)
- Latin America (Brazil and Rest of Latin America)
- Middle East and Africa (GCC, North Africa, South Africa, Rest of MEA)
Research Methodology
Secondary Research
It involves company databases such as Hoover’s: This assists us to recognize financial information, the structure of the market participants and industry’s competitive landscape.
The secondary research sources referred in the process are as follows:
- Governmental bodies, and organizations creating economic policies
- National and international social welfare institutions
- Company websites, financial reports and SEC filings, broker and investor reports
- Related patent and regulatory databases
- Statistical databases and market reports
- Corporate Presentations, news, press release, and specification sheet of Manufacturers
Primary Research
Primary research includes face-to-face interviews, online surveys, and telephonic interviews.
- Means of primary research: Email interactions, telephonic discussions and Questionnaire-based research etc.
- In order to validate our research findings and analysis, we conduct primary interviews of key industry participants. Insights from primary respondents help in validating the secondary research findings. It also develops Research Team’s expertise and market understanding.
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: Artificial Intelligence in Agriculture 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 (2020-2032)
8.1.2. Software
8.1.2.1. Market Revenue and Forecast (2020-2032)
8.1.3. Services
8.1.3.1. Market Revenue and Forecast (2020-2032)
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 (2020-2032)
9.1.2. Predictive Analytics
9.1.2.1. Market Revenue and Forecast (2020-2032)
9.1.3. Computer Vision
9.1.3.1. Market Revenue and Forecast (2020-2032)
Chapter 10. Global Artificial Intelligence in Agriculture 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 (2020-2032)
10.1.2. Drone Analytics
10.1.2.1. Market Revenue and Forecast (2020-2032)
10.1.3. Agriculture Robots
10.1.3.1. Market Revenue and Forecast (2020-2032)
10.1.4. Livestock Monitoring
10.1.4.1. Market Revenue and Forecast (2020-2032)
10.1.5. Others
10.1.5.1. Market Revenue and Forecast (2020-2032)
Chapter 11. Global Artificial Intelligence in Agriculture Market, Regional Estimates and Trend Forecast
11.1. North America
11.1.1. Market Revenue and Forecast, by Component (2020-2032)
11.1.2. Market Revenue and Forecast, by Technology (2020-2032)
11.1.3. Market Revenue and Forecast, by Application (2020-2032)
11.1.4. U.S.
11.1.4.1. Market Revenue and Forecast, by Component (2020-2032)
11.1.4.2. Market Revenue and Forecast, by Technology (2020-2032)
11.1.4.3. Market Revenue and Forecast, by Application (2020-2032)
11.1.5. Rest of North America
11.1.5.1. Market Revenue and Forecast, by Component (2020-2032)
11.1.5.2. Market Revenue and Forecast, by Technology (2020-2032)
11.1.5.3. Market Revenue and Forecast, by Application (2020-2032)
11.2. Europe
11.2.1. Market Revenue and Forecast, by Component (2020-2032)
11.2.2. Market Revenue and Forecast, by Technology (2020-2032)
11.2.3. Market Revenue and Forecast, by Application (2020-2032)
11.2.4. UK
11.2.4.1. Market Revenue and Forecast, by Component (2020-2032)
11.2.4.2. Market Revenue and Forecast, by Technology (2020-2032)
11.2.4.3. Market Revenue and Forecast, by Application (2020-2032)
11.2.5. Germany
11.2.5.1. Market Revenue and Forecast, by Component (2020-2032)
11.2.5.2. Market Revenue and Forecast, by Technology (2020-2032)
11.2.5.3. Market Revenue and Forecast, by Application (2020-2032)
11.2.6. France
11.2.6.1. Market Revenue and Forecast, by Component (2020-2032)
11.2.6.2. Market Revenue and Forecast, by Technology (2020-2032)
11.2.6.3. Market Revenue and Forecast, by Application (2020-2032)
11.2.7. Rest of Europe
11.2.7.1. Market Revenue and Forecast, by Component (2020-2032)
11.2.7.2. Market Revenue and Forecast, by Technology (2020-2032)
11.2.7.3. Market Revenue and Forecast, by Application (2020-2032)
11.3. APAC
11.3.1. Market Revenue and Forecast, by Component (2020-2032)
11.3.2. Market Revenue and Forecast, by Technology (2020-2032)
11.3.3. Market Revenue and Forecast, by Application (2020-2032)
11.3.4. India
11.3.4.1. Market Revenue and Forecast, by Component (2020-2032)
11.3.4.2. Market Revenue and Forecast, by Technology (2020-2032)
11.3.4.3. Market Revenue and Forecast, by Application (2020-2032)
11.3.5. China
11.3.5.1. Market Revenue and Forecast, by Component (2020-2032)
11.3.5.2. Market Revenue and Forecast, by Technology (2020-2032)
11.3.5.3. Market Revenue and Forecast, by Application (2020-2032)
11.3.6. Japan
11.3.6.1. Market Revenue and Forecast, by Component (2020-2032)
11.3.6.2. Market Revenue and Forecast, by Technology (2020-2032)
11.3.6.3. Market Revenue and Forecast, by Application (2020-2032)
11.3.7. Rest of APAC
11.3.7.1. Market Revenue and Forecast, by Component (2020-2032)
11.3.7.2. Market Revenue and Forecast, by Technology (2020-2032)
11.3.7.3. Market Revenue and Forecast, by Application (2020-2032)
11.4. MEA
11.4.1. Market Revenue and Forecast, by Component (2020-2032)
11.4.2. Market Revenue and Forecast, by Technology (2020-2032)
11.4.3. Market Revenue and Forecast, by Application (2020-2032)
11.4.4. GCC
11.4.4.1. Market Revenue and Forecast, by Component (2020-2032)
11.4.4.2. Market Revenue and Forecast, by Technology (2020-2032)
11.4.4.3. Market Revenue and Forecast, by Application (2020-2032)
11.4.5. North Africa
11.4.5.1. Market Revenue and Forecast, by Component (2020-2032)
11.4.5.2. Market Revenue and Forecast, by Technology (2020-2032)
11.4.5.3. Market Revenue and Forecast, by Application (2020-2032)
11.4.6. South Africa
11.4.6.1. Market Revenue and Forecast, by Component (2020-2032)
11.4.6.2. Market Revenue and Forecast, by Technology (2020-2032)
11.4.6.3. Market Revenue and Forecast, by Application (2020-2032)
11.4.7. Rest of MEA
11.4.7.1. Market Revenue and Forecast, by Component (2020-2032)
11.4.7.2. Market Revenue and Forecast, by Technology (2020-2032)
11.4.7.3. Market Revenue and Forecast, by Application (2020-2032)
11.5. Latin America
11.5.1. Market Revenue and Forecast, by Component (2020-2032)
11.5.2. Market Revenue and Forecast, by Technology (2020-2032)
11.5.3. Market Revenue and Forecast, by Application (2020-2032)
11.5.4. Brazil
11.5.4.1. Market Revenue and Forecast, by Component (2020-2032)
11.5.4.2. Market Revenue and Forecast, by Technology (2020-2032)
11.5.4.3. Market Revenue and Forecast, by Application (2020-2032)
11.5.5. Rest of LATAM
11.5.5.1. Market Revenue and Forecast, by Component (2020-2032)
11.5.5.2. Market Revenue and Forecast, by Technology (2020-2032)
11.5.5.3. Market Revenue and Forecast, by Application (2020-2032)
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
Thanks for reading you can also get individual chapter-wise sections or region-wise report versions such as North America, Europe, or the Asia Pacific.
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