Market Overview:
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.
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.
Top Key Players in Global AI in Agriculture Market:
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.
Market Dynamics:
Drivers:
Labor shortages in the agriculture industry are driving the demand for AI technology. With fewer available workers and declining interest in farming jobs, farmers are increasingly turning to AI for automation. AI-powered tools and machinery, such as autonomous tractors and robotic harvesters, offer efficient and precise solutions. These technologies alleviate the burden on farmers while improving precision, speed, and accuracy in farming. As the need for sustainable farming practices grows, the demand for AI in agriculture is rising, promising to revolutionize the industry and address labour scarcity.
Opportunities:
AI has become a valuable tool for farmers dealing with the challenges of climate change. It enables them to make informed decisions about the optimal timing for sowing seeds based on weather conditions and other factors. Additionally, AI technologies offer the potential to anonymize data while uncovering valuable insights, promoting collaboration and growth in the agricultural industry. There is a specific opportunity for solution providers to focus on smaller farms, as governments worldwide are supporting AI adoption in agriculture for small-scale farmers. As a result, the increasing adoption of AI solutions in agriculture is creating a promising market for AI in the agricultural sector.
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Market segmentation:
By Type
- Solution
- Service
By Technology
- Machine Learning
- Computer Vision
- Predictive Analytics
By Deployment
- Cloud
- On-premise
- Hybrid
By Application
- Weather Tracking
- Precision Farming
- Drone Analytics
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Regional Analysis for COVID-19 Outbreak-Global AI in Agriculture Market:
- 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)
Report includes Competitor's Landscape:
- Major trends and growth projections by region and country
- Key winning strategies followed by the competitors
- Who are the key competitors in this industry?
- What shall be the potential of this industry over the forecast tenure?
- What are the factors propelling the demand for the Action Figures And Statues?
- What are the opportunities that shall aid in significant proliferation of the market growth?
- What are the regional and country wise regulations that shall either hamper or boost the demand for Action Figures And Statues?
- How has the covid-19 impacted the growth of the market?
- Has the supply chain disruption caused changes in the entire value chain?
Covid-19 Impact Analysis on AI In Agriculture Market:
The rise and spread of the coronavirus pandemic (COVID-19) have created an imbalance in all sectors worldwide and disrupted the global economy. Developed countries utilize highly sophisticated mechanized equipment for the cultivation of crops like wheat, rice, maize, and other vegetables. These types of machinery can be used for different activities like land development, irrigation, planting, and sowing, due to labor-intensive farming during the pandemic period.
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