United States: 5 DEC : Artificial Intelligence has become one of the most important technologies in every sector, including education, banking, robotics, agriculture, etc. In the agriculture sector, it is playing a very crucial role, and it is transforming the agriculture industry. Artificial Intelligence has improved crop production and real-time monitoring, harvesting, processing, and marketing.AI is widely used in this sector. For agriculture, Artificial Intelligence has become a revolutionary technology. It helps the farmers by yielding healthier crops, controlling pests, soil monitoring, and many more ways. The industry is turning to Artificial Intelligence technologies to help yield healthier crops, control pests, monitor soil, and growing conditions, organize data for farmers, help with the workload, and improve a wide range of agriculture-related tasks in the entire food supply chain.
According to this latest study , The Global Market for Artificial Intelligence (AI) In Agriculture Was Estimated at USD 2.20 Billion In the Year 2022, Is Projected to Reach A Revised Size of USD 11.01 Billion By 2030, Growing at A CAGR of 22.3% Over the Forecast Period 2023-2030.
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The latest research on the Artificial Intelligence (AI) in Agriculture market provides a comprehensive overview of the market for the years 2023 to 2030. It gives a comprehensive picture of the global Artificial Intelligence (AI) in Agriculture industry, considering all significant industry trends, market dynamics, competitive landscape, and market analysis tools such as Porter's five forces analysis, Industry Value chain analysis, and PESTEL analysis of the Artificial Intelligence (AI) in Agriculture market. Moreover, the report includes significant chapters such as Patent Analysis, Regulatory Framework, Technology Roadmap, BCG Matrix, Heat Map Analysis, Price Trend Analysis, and Investment Analysis which help to understand the market direction and movement in the current and upcoming years. The report is designed to help readers find information and make decisions that will help them grow their businesses. The study is written with a specific goal in mind: to give business insights and consultancy to help customers make smart business decisions and achieve long-term success in their particular market areas.
Key Market Drivers:
- Shortage of Labor Driving the Demand For AI
Segmentation of Artificial Intelligence (AI) in Agriculture Market:
By Technology
- Machine Learning
- Computer Vision
- Predictive Analytics
By Deployment
- Cloud
- On-premise
- Hybrid
By Application
- Weather Tracking
- Precision Farming
- Drone Analytics
Market Segment by Regions and Countries Level Analysis:
- North America (U.S., Canada, Mexico)
- Eastern Europe (Bulgaria, The Czech Republic, Hungary, Poland, Romania, Rest of Eastern Europe)
- Western Europe (Germany, U.K., France, Netherlands, Italy, Russia, Spain, Rest of Western Europe)
- Asia-Pacific (China, India, Japan, South Korea, Malaysia, Thailand, Vietnam, The Philippines, Australia, New Zealand, Rest of APAC)
- Middle East & Africa (Turkey, Saudi Arabia, Bahrain, Kuwait, Qatar, UAE, Israel, South Africa)
- South America (Brazil, Argentina, Rest of SA)
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Scope of the Report
|
Report Metric |
Details |
|
Market size available for years |
2022–2030 |
|
Base year considered |
2022 |
|
Forecast period |
2023–2030 |
|
Forecast units |
Billion (USD) |
|
Segments covered |
Type , Applications , and Region |
|
Geographies covered |
North America, APAC, Europe, MEA, and Latin America |
|
Companies covered |
Deere & Company(US),IBM Corporation (US),Microsoft Corporation (US),The Climate Corporation (US),Farmers Edge Inc. (Canada),Hewlett Packard Enterprise Development LP (US),Cisco Systems Inc. (US),Google LLC (US),Amazon Web Services Inc (US),Corteva Inc (US),AgEagle Aerial Systems Inc. (US),Descartes Labs Inc. (US) and Other Major Players. |
Key Reasons to Purchase:
1) To gain insightful analyses of the market and have comprehensive understanding of the global market and its commercial landscape.
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3) To understand the most affecting driving and restraining forces in the Artificial Intelligence (AI) in Agriculture market and its impact in the global market.
4) Learn about the Artificial Intelligence (AI) in Agriculture market strategies that are being adopted by leading respective organizations.
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