AI in Agriculture Market Report: Tracking 2030 Trends and Growth Status
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.
The use and integration of artificial intelligence (AI) technologies into agricultural practices to improve productivity, sustainability, and efficiency along the entire agricultural value chain is included in the market for AI in agriculture. Crop monitoring, robotic systems, drone technology, predictive analytics, precision farming, and intelligent irrigation management are a few examples of AI applications in agriculture. With the use of these technologies, farmers may reduce their environmental impact, optimize resource allocation, reduce risks, and increase crop yields while making data-driven decisions. Farm management platforms, makers of agricultural equipment, AI software developers, and agricultural research institutes are important market players. The necessity for sustainable farming techniques, the challenges posed by climate change, the growing global population, and workforce shortages are all factors propelling the market's expansion. Innovation in agriculture is greatly aided by artificial intelligence (AI), which is revolutionizing conventional farming practices.
Top Key Players Covered in The 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.
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Introspective Market Research offers comprehensive market research studies, providing valuable insights and strategic guidance to businesses worldwide. We ensure reliability and accuracy in our reports for informed decision-making.
The AI in Agriculture market research study ensures the highest level of accuracy and reliability as we precisely examine the overall industry, covering all the market fundamentals. By leveraging a wide range of primary and secondary sources, we establish a strong foundation for our findings. Industry-standard tools like Porter's Five Forces Analysis, SWOT Analysis, and Price Trend Analysis further enhance the comprehensiveness of our evaluation.
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Segmentation Analysis of The AI in Agriculture Market
AI in the Agriculture Market segments covers the Type, Technology, Deployment, Application, and end-users. By Application, the Precision Farming segment is Anticipated to Dominate the Market Over the Forecast period.
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
Your Customized Report Awaits - Ask Us How!
AI In Agriculture Market Trend Analysis
Shortage of Labor Driving the Demand For AI
The agriculture sector has long struggled with a workforce deficit. AI can address this problem of farming automation. Farmers can complete tasks without hiring more staff by utilizing AI and automation; driverless tractors are one example of this.
Intelligent spraying, intelligent fertilization and irrigation systems, software for vertical farming, and robots with artificial intelligence for harvesting... When compared to human farmhands, AI-driven machinery and equipment are far faster and more accurate.
Increasing the Adoption of AI Solutions in Agriculture
Farmers are finding it harder to predict when to plant seeds due to climate change; here is where artificial intelligence (AI) comes into play. Artificial intelligence makes it simple to understand how agricultural planting cycles will be impacted by weather, seasonal sunlight, wind speed, and rain.
Artificial intelligence (AI) technologies have the capacity to anonymize data while assisting in the discovery of new opportunities through insight. Farmers won't have to worry about giving up their intellectual property, which will promote increased cooperation and eventually growth.
By Region
North America (US, Canada, Mexico)
Eastern Europe (Bulgaria, The Czech Republic, Hungary, Poland, Romania, Rest of Eastern Europe)
Western Europe (Germany, UK, 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, Bahrain, Kuwait, Saudi Arabia, Qatar, UAE, Israel, South Africa)
South America (Brazil, Argentina, Rest of SA)
Key Industry Developments in the AI in Agriculture
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.
The use and integration of artificial intelligence (AI) technologies into agricultural practices to improve productivity, sustainability, and efficiency along the entire agricultural value chain is included in the market for AI in agriculture. Crop monitoring, robotic systems, drone technology, predictive analytics, precision farming, and intelligent irrigation management are a few examples of AI applications in agriculture. With the use of these technologies, farmers may reduce their environmental impact, optimize resource allocation, reduce risks, and increase crop yields while making data-driven decisions. Farm management platforms, makers of agricultural equipment, AI software developers, and agricultural research institutes are important market players. The necessity for sustainable farming techniques, the challenges posed by climate change, the growing global population, and workforce shortages are all factors propelling the market's expansion. Innovation in agriculture is greatly aided by artificial intelligence (AI), which is revolutionizing conventional farming practices.
Top Key Players Covered in The 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.
Start Your Journey with a Free Sample Report!
Introspective Market Research offers comprehensive market research studies, providing valuable insights and strategic guidance to businesses worldwide. We ensure reliability and accuracy in our reports for informed decision-making.
The AI in Agriculture market research study ensures the highest level of accuracy and reliability as we precisely examine the overall industry, covering all the market fundamentals. By leveraging a wide range of primary and secondary sources, we establish a strong foundation for our findings. Industry-standard tools like Porter's Five Forces Analysis, SWOT Analysis, and Price Trend Analysis further enhance the comprehensiveness of our evaluation.
Discount on the Research Report@
Segmentation Analysis of The AI in Agriculture Market
AI in the Agriculture Market segments covers the Type, Technology, Deployment, Application, and end-users. By Application, the Precision Farming segment is Anticipated to Dominate the Market Over the Forecast period.
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
Your Customized Report Awaits - Ask Us How!
AI In Agriculture Market Trend Analysis
Shortage of Labor Driving the Demand For AI
The agriculture sector has long struggled with a workforce deficit. AI can address this problem of farming automation. Farmers can complete tasks without hiring more staff by utilizing AI and automation; driverless tractors are one example of this.
Intelligent spraying, intelligent fertilization and irrigation systems, software for vertical farming, and robots with artificial intelligence for harvesting... When compared to human farmhands, AI-driven machinery and equipment are far faster and more accurate.
Increasing the Adoption of AI Solutions in Agriculture
Farmers are finding it harder to predict when to plant seeds due to climate change; here is where artificial intelligence (AI) comes into play. Artificial intelligence makes it simple to understand how agricultural planting cycles will be impacted by weather, seasonal sunlight, wind speed, and rain.
Artificial intelligence (AI) technologies have the capacity to anonymize data while assisting in the discovery of new opportunities through insight. Farmers won't have to worry about giving up their intellectual property, which will promote increased cooperation and eventually growth.
By Region
North America (US, Canada, Mexico)
Eastern Europe (Bulgaria, The Czech Republic, Hungary, Poland, Romania, Rest of Eastern Europe)
Western Europe (Germany, UK, 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, Bahrain, Kuwait, Saudi Arabia, Qatar, UAE, Israel, South Africa)
South America (Brazil, Argentina, Rest of SA)
Key Industry Developments in the AI in Agriculture
9 months ago
