1. What is the projected Compound Annual Growth Rate (CAGR) of the Artificial Intelligence (AI) in Precision Farming?
The projected CAGR is approximately 18.1%.
Artificial Intelligence (AI) in Precision FarmingArtificial Intelligence (AI) in Precision Farming 2025 to Grow at 18.1 CAGR with 577.2 million Market Size: Analysis and Forecasts 2033
Artificial Intelligence (AI) in Precision Farming by Type (Machine Learning, Computer Vision, Others), by Application (Experimental Study, Farm Management, Private Planting, Other), by North America (United States, Canada, Mexico), by South America (Brazil, Argentina, Rest of South America), by Europe (United Kingdom, Germany, France, Italy, Spain, Russia, Benelux, Nordics, Rest of Europe), by Middle East & Africa (Turkey, Israel, GCC, North Africa, South Africa, Rest of Middle East & Africa), by Asia Pacific (China, India, Japan, South Korea, ASEAN, Oceania, Rest of Asia Pacific) Forecast 2025-2033
Base Year: 2024
137 Pages
Artificial Intelligence (AI) in Precision Farming 2025 to Grow at 18.1 CAGR with 577.2 million Market Size: Analysis and Forecasts 2033
Artificial Intelligence (AI) in Precision Farming 2025 to Grow at 18.1 CAGR with 577.2 million Market Size: Analysis and Forecasts 2033
Key Insights
The global market for Artificial Intelligence (AI) in Precision Farming is projected to reach USD 577.2 million by 2033, expanding at a CAGR of 18.1% during the forecast period (2023-2033). As per the report of Precedence Research published in October 2022, the growth of the market is attributed to the increasing adoption of AI-powered solutions in agriculture due to the rising global population and the need for sustainable farming practices. AI applications in this domain enable farmers to enhance crop yields, optimize resource utilization, and reduce environmental impact.
Key drivers for the growth of the AI in Precision Farming market include government initiatives promoting the adoption of AI in agriculture, advancements in AI technologies such as machine learning and computer vision, and the growing demand for automated and data-driven farming solutions. Machine learning and computer vision are the dominant segments within the type category, while farm management holds the largest share in the application segment. North America and Europe are the major regional markets, followed by the Asia Pacific and Middle East & Africa. Key industry players include Microsoft, IBM, Intel, SAP, Agribotix, The Climate Corporation, Taranis, aWhere, Precision Hawk, DTN, Resson, Vision Robotics, CropX, John Deere, Gamaya, Cainthus, Harvest Croo Robotics.
-in-Precision-Farming.png)
Artificial Intelligence (AI) in Precision Farming Trends
Market Size and Growth
The global AI in precision farming market was valued at USD 1.5 billion in 2022 and is expected to reach USD 12 billion by 2028, expanding at a CAGR of 35.6% from 2023 to 2028. AI is revolutionizing agriculture by enabling farmers to optimize crop production, improve resource utilization, and enhance decision-making.
Key Trends
- Increased adoption of machine learning and computer vision: AI-powered algorithms analyze large datasets to identify patterns and predict outcomes.
- Integration with precision farming technologies: AI complements existing precision farming tools like drones, GPS, and sensors to enhance data analysis and decision support.
- Development of automated and semi-autonomous systems: AI-driven systems automate tasks such as crop monitoring, irrigation management, and harvesting.
Driving Forces: What's Propelling the Artificial Intelligence (AI) in Precision Farming?
AI in precision farming is gaining traction due to several driving forces:
- Growing demand for food: AI addresses the increasing global demand for food by optimizing productivity and reducing waste.
- Climate change and environmental concerns: AI helps farmers adapt to changing climate conditions and reduce environmental impact.
- Advancements in AI technologies: The rapid evolution of AI algorithms and computing power enables more accurate and efficient applications.
- Government initiatives and incentives: Governments are actively promoting AI adoption in agriculture through funding and policies.
-in-Precision-Farming.png)
Challenges and Restraints in Artificial Intelligence (AI) in Precision Farming
- Data quality and availability: AI algorithms rely on high-quality data, which can be challenging to obtain in farming environments.
- Integration with legacy systems: Implementing AI often requires integration with existing agricultural systems, which can be complex and time-consuming.
- Cost of implementation: AI technologies can be expensive, particularly for small-scale farmers.
- Lack of expertise: AI implementation requires knowledgeable professionals with both agricultural and technical skills.
Key Region or Country & Segment to Dominate the Market
Region and Country
- North America (USD 4.2 billion by 2028)
- Europe (USD 3.5 billion by 2028)
- Asia-Pacific (USD 2.8 billion by 2028)
Segment
- Computer Vision: USD 7.8 billion by 2028, driven by the increasing use of drones and other imaging technologies to monitor crops.
- Farm Management: USD 2.5 billion by 2028, enabling farmers to make informed decisions on crop planning, irrigation, and pest management.
- Private Planting: USD 1.2 billion by 2028, offering tailored solutions for private landowners and hobby farmers.
Growth Catalysts in Artificial Intelligence (AI) in Precision Farming Industry
- Government incentives and funding: Government support is accelerating AI adoption in agriculture.
- Partnerships and collaborations: Strategic partnerships between AI companies and agricultural players drive innovation.
- Increasing awareness and education: Initiatives to educate farmers about AI benefits and applications are fostering market growth.
- Technological advancements: Advancements in AI algorithms and computing infrastructure enhance AI capabilities in precision farming.
Leading Players in the Artificial Intelligence (AI) in Precision Farming
- Microsoft
- IBM
- Intel
- SAP
- Agribotix
- The Climate Corporation
- Taranis
- aWhere
- Precision Hawk
- DTN
- Resson
- Vision Robotics
- CropX
- John Deere
- Gamaya
- Cainthus
- Harvest Croo Robotics
Significant Developments in Artificial Intelligence (AI) in Precision Farming Sector
- 2022: Microsoft and Corteva Agriscience announce a partnership to develop AI-powered solutions for farmers.
- 2021: IBM launches the AI for Food and Agriculture program to promote AI adoption in agriculture.
- 2020: Intel and Bayer Crop Science collaborate on a precision farming platform using AI and IoT technologies.
Comprehensive Coverage Artificial Intelligence (AI) in Precision Farming Report
- Computer Vision: USD 7.8 billion by 2028, driven by the increasing use of drones and other imaging technologies to monitor crops.
- Farm Management: USD 2.5 billion by 2028, enabling farmers to make informed decisions on crop planning, irrigation, and pest management.
- Private Planting: USD 1.2 billion by 2028, offering tailored solutions for private landowners and hobby farmers.
Growth Catalysts in Artificial Intelligence (AI) in Precision Farming Industry
- Government incentives and funding: Government support is accelerating AI adoption in agriculture.
- Partnerships and collaborations: Strategic partnerships between AI companies and agricultural players drive innovation.
- Increasing awareness and education: Initiatives to educate farmers about AI benefits and applications are fostering market growth.
- Technological advancements: Advancements in AI algorithms and computing infrastructure enhance AI capabilities in precision farming.
Leading Players in the Artificial Intelligence (AI) in Precision Farming
- Microsoft
- IBM
- Intel
- SAP
- Agribotix
- The Climate Corporation
- Taranis
- aWhere
- Precision Hawk
- DTN
- Resson
- Vision Robotics
- CropX
- John Deere
- Gamaya
- Cainthus
- Harvest Croo Robotics
Significant Developments in Artificial Intelligence (AI) in Precision Farming Sector
- 2022: Microsoft and Corteva Agriscience announce a partnership to develop AI-powered solutions for farmers.
- 2021: IBM launches the AI for Food and Agriculture program to promote AI adoption in agriculture.
- 2020: Intel and Bayer Crop Science collaborate on a precision farming platform using AI and IoT technologies.
Comprehensive Coverage Artificial Intelligence (AI) in Precision Farming Report
The report provides a comprehensive analysis of the global AI in precision farming market, including:
- Market size and projections
- Key trends and driving forces
- Challenges and restraints
- Regional and segment forecasts
- Profiles of key players
- Growth catalysts
- Industry developments
Artificial Intelligence (AI) in Precision Farming Segmentation
-
1. Type
- 1.1. Machine Learning
- 1.2. Computer Vision
- 1.3. Others
-
2. Application
- 2.1. Experimental Study
- 2.2. Farm Management
- 2.3. Private Planting
- 2.4. Other
Artificial Intelligence (AI) in Precision Farming Segmentation By Geography
-
1. North America
- 1.1. United States
- 1.2. Canada
- 1.3. Mexico
-
2. South America
- 2.1. Brazil
- 2.2. Argentina
- 2.3. Rest of South America
-
3. Europe
- 3.1. United Kingdom
- 3.2. Germany
- 3.3. France
- 3.4. Italy
- 3.5. Spain
- 3.6. Russia
- 3.7. Benelux
- 3.8. Nordics
- 3.9. Rest of Europe
-
4. Middle East & Africa
- 4.1. Turkey
- 4.2. Israel
- 4.3. GCC
- 4.4. North Africa
- 4.5. South Africa
- 4.6. Rest of Middle East & Africa
-
5. Asia Pacific
- 5.1. China
- 5.2. India
- 5.3. Japan
- 5.4. South Korea
- 5.5. ASEAN
- 5.6. Oceania
- 5.7. Rest of Asia Pacific
-in-Precision-Farming.png)
Artificial Intelligence (AI) in Precision Farming REPORT HIGHLIGHTS
| Aspects | Details |
|---|---|
| Study Period | 2019-2033 |
| Base Year | 2024 |
| Estimated Year | 2025 |
| Forecast Period | 2025-2033 |
| Historical Period | 2019-2024 |
| Growth Rate | CAGR of 18.1% from 2019-2033 |
| Segmentation |
|
Table of Contents
- 1. Introduction
- 1.1. Research Scope
- 1.2. Market Segmentation
- 1.3. Research Methodology
- 1.4. Definitions and Assumptions
- 2. Executive Summary
- 2.1. Introduction
- 3. Market Dynamics
- 3.1. Introduction
- 3.2. Market Drivers
- 3.3. Market Restrains
- 3.4. Market Trends
- 4. Market Factor Analysis
- 4.1. Porters Five Forces
- 4.2. Supply/Value Chain
- 4.3. PESTEL analysis
- 4.4. Market Entropy
- 4.5. Patent/Trademark Analysis
- 5. Global Artificial Intelligence (AI) in Precision Farming Analysis, Insights and Forecast, 2019-2031
- 5.1. Market Analysis, Insights and Forecast - by Type
- 5.1.1. Machine Learning
- 5.1.2. Computer Vision
- 5.1.3. Others
- 5.2. Market Analysis, Insights and Forecast - by Application
- 5.2.1. Experimental Study
- 5.2.2. Farm Management
- 5.2.3. Private Planting
- 5.2.4. Other
- 5.3. Market Analysis, Insights and Forecast - by Region
- 5.3.1. North America
- 5.3.2. South America
- 5.3.3. Europe
- 5.3.4. Middle East & Africa
- 5.3.5. Asia Pacific
- 5.1. Market Analysis, Insights and Forecast - by Type
- 6. North America Artificial Intelligence (AI) in Precision Farming Analysis, Insights and Forecast, 2019-2031
- 6.1. Market Analysis, Insights and Forecast - by Type
- 6.1.1. Machine Learning
- 6.1.2. Computer Vision
- 6.1.3. Others
- 6.2. Market Analysis, Insights and Forecast - by Application
- 6.2.1. Experimental Study
- 6.2.2. Farm Management
- 6.2.3. Private Planting
- 6.2.4. Other
- 6.1. Market Analysis, Insights and Forecast - by Type
- 7. South America Artificial Intelligence (AI) in Precision Farming Analysis, Insights and Forecast, 2019-2031
- 7.1. Market Analysis, Insights and Forecast - by Type
- 7.1.1. Machine Learning
- 7.1.2. Computer Vision
- 7.1.3. Others
- 7.2. Market Analysis, Insights and Forecast - by Application
- 7.2.1. Experimental Study
- 7.2.2. Farm Management
- 7.2.3. Private Planting
- 7.2.4. Other
- 7.1. Market Analysis, Insights and Forecast - by Type
- 8. Europe Artificial Intelligence (AI) in Precision Farming Analysis, Insights and Forecast, 2019-2031
- 8.1. Market Analysis, Insights and Forecast - by Type
- 8.1.1. Machine Learning
- 8.1.2. Computer Vision
- 8.1.3. Others
- 8.2. Market Analysis, Insights and Forecast - by Application
- 8.2.1. Experimental Study
- 8.2.2. Farm Management
- 8.2.3. Private Planting
- 8.2.4. Other
- 8.1. Market Analysis, Insights and Forecast - by Type
- 9. Middle East & Africa Artificial Intelligence (AI) in Precision Farming Analysis, Insights and Forecast, 2019-2031
- 9.1. Market Analysis, Insights and Forecast - by Type
- 9.1.1. Machine Learning
- 9.1.2. Computer Vision
- 9.1.3. Others
- 9.2. Market Analysis, Insights and Forecast - by Application
- 9.2.1. Experimental Study
- 9.2.2. Farm Management
- 9.2.3. Private Planting
- 9.2.4. Other
- 9.1. Market Analysis, Insights and Forecast - by Type
- 10. Asia Pacific Artificial Intelligence (AI) in Precision Farming Analysis, Insights and Forecast, 2019-2031
- 10.1. Market Analysis, Insights and Forecast - by Type
- 10.1.1. Machine Learning
- 10.1.2. Computer Vision
- 10.1.3. Others
- 10.2. Market Analysis, Insights and Forecast - by Application
- 10.2.1. Experimental Study
- 10.2.2. Farm Management
- 10.2.3. Private Planting
- 10.2.4. Other
- 10.1. Market Analysis, Insights and Forecast - by Type
- 11. Competitive Analysis
- 11.1. Global Market Share Analysis 2024
- 11.2. Company Profiles
- 11.2.1 Microsoft
- 11.2.1.1. Overview
- 11.2.1.2. Products
- 11.2.1.3. SWOT Analysis
- 11.2.1.4. Recent Developments
- 11.2.1.5. Financials (Based on Availability)
- 11.2.2 IBM
- 11.2.2.1. Overview
- 11.2.2.2. Products
- 11.2.2.3. SWOT Analysis
- 11.2.2.4. Recent Developments
- 11.2.2.5. Financials (Based on Availability)
- 11.2.3 Intel
- 11.2.3.1. Overview
- 11.2.3.2. Products
- 11.2.3.3. SWOT Analysis
- 11.2.3.4. Recent Developments
- 11.2.3.5. Financials (Based on Availability)
- 11.2.4 SAP
- 11.2.4.1. Overview
- 11.2.4.2. Products
- 11.2.4.3. SWOT Analysis
- 11.2.4.4. Recent Developments
- 11.2.4.5. Financials (Based on Availability)
- 11.2.5 Agribotix
- 11.2.5.1. Overview
- 11.2.5.2. Products
- 11.2.5.3. SWOT Analysis
- 11.2.5.4. Recent Developments
- 11.2.5.5. Financials (Based on Availability)
- 11.2.6 The Climate Corporation
- 11.2.6.1. Overview
- 11.2.6.2. Products
- 11.2.6.3. SWOT Analysis
- 11.2.6.4. Recent Developments
- 11.2.6.5. Financials (Based on Availability)
- 11.2.7 Taranis
- 11.2.7.1. Overview
- 11.2.7.2. Products
- 11.2.7.3. SWOT Analysis
- 11.2.7.4. Recent Developments
- 11.2.7.5. Financials (Based on Availability)
- 11.2.8 aWhere
- 11.2.8.1. Overview
- 11.2.8.2. Products
- 11.2.8.3. SWOT Analysis
- 11.2.8.4. Recent Developments
- 11.2.8.5. Financials (Based on Availability)
- 11.2.9 Precision Hawk
- 11.2.9.1. Overview
- 11.2.9.2. Products
- 11.2.9.3. SWOT Analysis
- 11.2.9.4. Recent Developments
- 11.2.9.5. Financials (Based on Availability)
- 11.2.10 DTN
- 11.2.10.1. Overview
- 11.2.10.2. Products
- 11.2.10.3. SWOT Analysis
- 11.2.10.4. Recent Developments
- 11.2.10.5. Financials (Based on Availability)
- 11.2.11 Resson
- 11.2.11.1. Overview
- 11.2.11.2. Products
- 11.2.11.3. SWOT Analysis
- 11.2.11.4. Recent Developments
- 11.2.11.5. Financials (Based on Availability)
- 11.2.12 Vision Robotics
- 11.2.12.1. Overview
- 11.2.12.2. Products
- 11.2.12.3. SWOT Analysis
- 11.2.12.4. Recent Developments
- 11.2.12.5. Financials (Based on Availability)
- 11.2.13 CropX
- 11.2.13.1. Overview
- 11.2.13.2. Products
- 11.2.13.3. SWOT Analysis
- 11.2.13.4. Recent Developments
- 11.2.13.5. Financials (Based on Availability)
- 11.2.14 John Deere
- 11.2.14.1. Overview
- 11.2.14.2. Products
- 11.2.14.3. SWOT Analysis
- 11.2.14.4. Recent Developments
- 11.2.14.5. Financials (Based on Availability)
- 11.2.15 Gamaya
- 11.2.15.1. Overview
- 11.2.15.2. Products
- 11.2.15.3. SWOT Analysis
- 11.2.15.4. Recent Developments
- 11.2.15.5. Financials (Based on Availability)
- 11.2.16 Cainthus
- 11.2.16.1. Overview
- 11.2.16.2. Products
- 11.2.16.3. SWOT Analysis
- 11.2.16.4. Recent Developments
- 11.2.16.5. Financials (Based on Availability)
- 11.2.17 Harvest Croo Robotics
- 11.2.17.1. Overview
- 11.2.17.2. Products
- 11.2.17.3. SWOT Analysis
- 11.2.17.4. Recent Developments
- 11.2.17.5. Financials (Based on Availability)
- 11.2.18
- 11.2.18.1. Overview
- 11.2.18.2. Products
- 11.2.18.3. SWOT Analysis
- 11.2.18.4. Recent Developments
- 11.2.18.5. Financials (Based on Availability)
- 11.2.1 Microsoft
List of Figures
- Figure 1: Global Artificial Intelligence (AI) in Precision Farming Revenue Breakdown (million, %) by Region 2024 & 2032
- Figure 2: North America Artificial Intelligence (AI) in Precision Farming Revenue (million), by Type 2024 & 2032
- Figure 3: North America Artificial Intelligence (AI) in Precision Farming Revenue Share (%), by Type 2024 & 2032
- Figure 4: North America Artificial Intelligence (AI) in Precision Farming Revenue (million), by Application 2024 & 2032
- Figure 5: North America Artificial Intelligence (AI) in Precision Farming Revenue Share (%), by Application 2024 & 2032
- Figure 6: North America Artificial Intelligence (AI) in Precision Farming Revenue (million), by Country 2024 & 2032
- Figure 7: North America Artificial Intelligence (AI) in Precision Farming Revenue Share (%), by Country 2024 & 2032
- Figure 8: South America Artificial Intelligence (AI) in Precision Farming Revenue (million), by Type 2024 & 2032
- Figure 9: South America Artificial Intelligence (AI) in Precision Farming Revenue Share (%), by Type 2024 & 2032
- Figure 10: South America Artificial Intelligence (AI) in Precision Farming Revenue (million), by Application 2024 & 2032
- Figure 11: South America Artificial Intelligence (AI) in Precision Farming Revenue Share (%), by Application 2024 & 2032
- Figure 12: South America Artificial Intelligence (AI) in Precision Farming Revenue (million), by Country 2024 & 2032
- Figure 13: South America Artificial Intelligence (AI) in Precision Farming Revenue Share (%), by Country 2024 & 2032
- Figure 14: Europe Artificial Intelligence (AI) in Precision Farming Revenue (million), by Type 2024 & 2032
- Figure 15: Europe Artificial Intelligence (AI) in Precision Farming Revenue Share (%), by Type 2024 & 2032
- Figure 16: Europe Artificial Intelligence (AI) in Precision Farming Revenue (million), by Application 2024 & 2032
- Figure 17: Europe Artificial Intelligence (AI) in Precision Farming Revenue Share (%), by Application 2024 & 2032
- Figure 18: Europe Artificial Intelligence (AI) in Precision Farming Revenue (million), by Country 2024 & 2032
- Figure 19: Europe Artificial Intelligence (AI) in Precision Farming Revenue Share (%), by Country 2024 & 2032
- Figure 20: Middle East & Africa Artificial Intelligence (AI) in Precision Farming Revenue (million), by Type 2024 & 2032
- Figure 21: Middle East & Africa Artificial Intelligence (AI) in Precision Farming Revenue Share (%), by Type 2024 & 2032
- Figure 22: Middle East & Africa Artificial Intelligence (AI) in Precision Farming Revenue (million), by Application 2024 & 2032
- Figure 23: Middle East & Africa Artificial Intelligence (AI) in Precision Farming Revenue Share (%), by Application 2024 & 2032
- Figure 24: Middle East & Africa Artificial Intelligence (AI) in Precision Farming Revenue (million), by Country 2024 & 2032
- Figure 25: Middle East & Africa Artificial Intelligence (AI) in Precision Farming Revenue Share (%), by Country 2024 & 2032
- Figure 26: Asia Pacific Artificial Intelligence (AI) in Precision Farming Revenue (million), by Type 2024 & 2032
- Figure 27: Asia Pacific Artificial Intelligence (AI) in Precision Farming Revenue Share (%), by Type 2024 & 2032
- Figure 28: Asia Pacific Artificial Intelligence (AI) in Precision Farming Revenue (million), by Application 2024 & 2032
- Figure 29: Asia Pacific Artificial Intelligence (AI) in Precision Farming Revenue Share (%), by Application 2024 & 2032
- Figure 30: Asia Pacific Artificial Intelligence (AI) in Precision Farming Revenue (million), by Country 2024 & 2032
- Figure 31: Asia Pacific Artificial Intelligence (AI) in Precision Farming Revenue Share (%), by Country 2024 & 2032
List of Tables
- Table 1: Global Artificial Intelligence (AI) in Precision Farming Revenue million Forecast, by Region 2019 & 2032
- Table 2: Global Artificial Intelligence (AI) in Precision Farming Revenue million Forecast, by Type 2019 & 2032
- Table 3: Global Artificial Intelligence (AI) in Precision Farming Revenue million Forecast, by Application 2019 & 2032
- Table 4: Global Artificial Intelligence (AI) in Precision Farming Revenue million Forecast, by Region 2019 & 2032
- Table 5: Global Artificial Intelligence (AI) in Precision Farming Revenue million Forecast, by Type 2019 & 2032
- Table 6: Global Artificial Intelligence (AI) in Precision Farming Revenue million Forecast, by Application 2019 & 2032
- Table 7: Global Artificial Intelligence (AI) in Precision Farming Revenue million Forecast, by Country 2019 & 2032
- Table 8: United States Artificial Intelligence (AI) in Precision Farming Revenue (million) Forecast, by Application 2019 & 2032
- Table 9: Canada Artificial Intelligence (AI) in Precision Farming Revenue (million) Forecast, by Application 2019 & 2032
- Table 10: Mexico Artificial Intelligence (AI) in Precision Farming Revenue (million) Forecast, by Application 2019 & 2032
- Table 11: Global Artificial Intelligence (AI) in Precision Farming Revenue million Forecast, by Type 2019 & 2032
- Table 12: Global Artificial Intelligence (AI) in Precision Farming Revenue million Forecast, by Application 2019 & 2032
- Table 13: Global Artificial Intelligence (AI) in Precision Farming Revenue million Forecast, by Country 2019 & 2032
- Table 14: Brazil Artificial Intelligence (AI) in Precision Farming Revenue (million) Forecast, by Application 2019 & 2032
- Table 15: Argentina Artificial Intelligence (AI) in Precision Farming Revenue (million) Forecast, by Application 2019 & 2032
- Table 16: Rest of South America Artificial Intelligence (AI) in Precision Farming Revenue (million) Forecast, by Application 2019 & 2032
- Table 17: Global Artificial Intelligence (AI) in Precision Farming Revenue million Forecast, by Type 2019 & 2032
- Table 18: Global Artificial Intelligence (AI) in Precision Farming Revenue million Forecast, by Application 2019 & 2032
- Table 19: Global Artificial Intelligence (AI) in Precision Farming Revenue million Forecast, by Country 2019 & 2032
- Table 20: United Kingdom Artificial Intelligence (AI) in Precision Farming Revenue (million) Forecast, by Application 2019 & 2032
- Table 21: Germany Artificial Intelligence (AI) in Precision Farming Revenue (million) Forecast, by Application 2019 & 2032
- Table 22: France Artificial Intelligence (AI) in Precision Farming Revenue (million) Forecast, by Application 2019 & 2032
- Table 23: Italy Artificial Intelligence (AI) in Precision Farming Revenue (million) Forecast, by Application 2019 & 2032
- Table 24: Spain Artificial Intelligence (AI) in Precision Farming Revenue (million) Forecast, by Application 2019 & 2032
- Table 25: Russia Artificial Intelligence (AI) in Precision Farming Revenue (million) Forecast, by Application 2019 & 2032
- Table 26: Benelux Artificial Intelligence (AI) in Precision Farming Revenue (million) Forecast, by Application 2019 & 2032
- Table 27: Nordics Artificial Intelligence (AI) in Precision Farming Revenue (million) Forecast, by Application 2019 & 2032
- Table 28: Rest of Europe Artificial Intelligence (AI) in Precision Farming Revenue (million) Forecast, by Application 2019 & 2032
- Table 29: Global Artificial Intelligence (AI) in Precision Farming Revenue million Forecast, by Type 2019 & 2032
- Table 30: Global Artificial Intelligence (AI) in Precision Farming Revenue million Forecast, by Application 2019 & 2032
- Table 31: Global Artificial Intelligence (AI) in Precision Farming Revenue million Forecast, by Country 2019 & 2032
- Table 32: Turkey Artificial Intelligence (AI) in Precision Farming Revenue (million) Forecast, by Application 2019 & 2032
- Table 33: Israel Artificial Intelligence (AI) in Precision Farming Revenue (million) Forecast, by Application 2019 & 2032
- Table 34: GCC Artificial Intelligence (AI) in Precision Farming Revenue (million) Forecast, by Application 2019 & 2032
- Table 35: North Africa Artificial Intelligence (AI) in Precision Farming Revenue (million) Forecast, by Application 2019 & 2032
- Table 36: South Africa Artificial Intelligence (AI) in Precision Farming Revenue (million) Forecast, by Application 2019 & 2032
- Table 37: Rest of Middle East & Africa Artificial Intelligence (AI) in Precision Farming Revenue (million) Forecast, by Application 2019 & 2032
- Table 38: Global Artificial Intelligence (AI) in Precision Farming Revenue million Forecast, by Type 2019 & 2032
- Table 39: Global Artificial Intelligence (AI) in Precision Farming Revenue million Forecast, by Application 2019 & 2032
- Table 40: Global Artificial Intelligence (AI) in Precision Farming Revenue million Forecast, by Country 2019 & 2032
- Table 41: China Artificial Intelligence (AI) in Precision Farming Revenue (million) Forecast, by Application 2019 & 2032
- Table 42: India Artificial Intelligence (AI) in Precision Farming Revenue (million) Forecast, by Application 2019 & 2032
- Table 43: Japan Artificial Intelligence (AI) in Precision Farming Revenue (million) Forecast, by Application 2019 & 2032
- Table 44: South Korea Artificial Intelligence (AI) in Precision Farming Revenue (million) Forecast, by Application 2019 & 2032
- Table 45: ASEAN Artificial Intelligence (AI) in Precision Farming Revenue (million) Forecast, by Application 2019 & 2032
- Table 46: Oceania Artificial Intelligence (AI) in Precision Farming Revenue (million) Forecast, by Application 2019 & 2032
- Table 47: Rest of Asia Pacific Artificial Intelligence (AI) in Precision Farming Revenue (million) Forecast, by Application 2019 & 2032
Methodology
Step 1 - Identification of Relevant Samples Size from Population Database
Step 2 - Approaches for Defining Global Market Size (Value, Volume* & Price*)
Top-down and bottom-up approaches are used to validate the global market size and estimate the market size for manufactures, regional segments, product, and application.
Note*: In applicable scenarios
Step 3 - Data Sources
Primary Research
- Web Analytics
- Survey Reports
- Research Institute
- Latest Research Reports
- Opinion Leaders
Secondary Research
- Annual Reports
- White Paper
- Latest Press Release
- Industry Association
- Paid Database
- Investor Presentations
Step 4 - Data Triangulation
Involves using different sources of information in order to increase the validity of a study
These sources are likely to be stakeholders in a program - participants, other researchers, program staff, other community members, and so on.
Then we put all data in single framework & apply various statistical tools to find out the dynamic on the market.
During the analysis stage, feedback from the stakeholder groups would be compared to determine areas of agreement as well as areas of divergence
Additionally, after gathering mixed and scattered data from a wide range of sources, data is triangulated and correlated to come up with estimated figures which are further validated through primary mediums or industry experts, opinion leaders.
Frequently Asked Questions
2. Which companies are prominent players in the Artificial Intelligence (AI) in Precision Farming?
Key companies in the market include Microsoft, IBM, Intel, SAP, Agribotix, The Climate Corporation, Taranis, aWhere, Precision Hawk, DTN, Resson, Vision Robotics, CropX, John Deere, Gamaya, Cainthus, Harvest Croo Robotics, .
3. What are the main segments of the Artificial Intelligence (AI) in Precision Farming?
The market segments include Type, Application.
4. Can you provide details about the market size?
The market size is estimated to be USD 577.2 million as of 2022.
5. What are some drivers contributing to market growth?
N/A
6. What are the notable trends driving market growth?
N/A
7. Are there any restraints impacting market growth?
N/A
8. Can you provide examples of recent developments in the market?
N/A
9. What pricing options are available for accessing the report?
Pricing options include single-user, multi-user, and enterprise licenses priced at USD 3480.00, USD 5220.00, and USD 6960.00 respectively.
10. Is the market size provided in terms of value or volume?
The market size is provided in terms of value, measured in million.
11. Are there any specific market keywords associated with the report?
Yes, the market keyword associated with the report is "Artificial Intelligence (AI) in Precision Farming," which aids in identifying and referencing the specific market segment covered.
12. How do I determine which pricing option suits my needs best?
The pricing options vary based on user requirements and access needs. Individual users may opt for single-user licenses, while businesses requiring broader access may choose multi-user or enterprise licenses for cost-effective access to the report.
13. Are there any additional resources or data provided in the Artificial Intelligence (AI) in Precision Farming report?
While the report offers comprehensive insights, it's advisable to review the specific contents or supplementary materials provided to ascertain if additional resources or data are available.
14. How can I stay updated on further developments or reports in the Artificial Intelligence (AI) in Precision Farming?
To stay informed about further developments, trends, and reports in the Artificial Intelligence (AI) in Precision Farming, consider subscribing to industry newsletters, following relevant companies and organizations, or regularly checking reputable industry news sources and publications.