Press release
AI in Agriculture Market worth USD 11.01 Billion By 2030 | with top key players Deere & Company (US), Corteva Inc (US), Microsoft Corporation (US)
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 (AI) is transforming the agriculture sector by revolutionizing crop production, monitoring, and processing. It offers numerous benefits, including healthier crops, pest control, and soil monitoring. AI technologies like the Plantix application aid in identifying soil deficiencies and pests, helping farmers improve crop quality. AI sensors detect weeds and enable precise herbicide spraying, reducing chemical usage and saving time. AI-powered robots designed for agriculture perform multiple tasks, enhancing efficiency in farming.
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.
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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 Cooking Robot 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)
Key Industry Developments in the AI in Agriculture Market
• In January 2022, Climate FieldView™, Bayer's flagship digital farming product, focuses on helping farmers and their trusted business partners work together through digital tools and use data to drive decisions. New FieldView capabilities and an ongoing commitment with Precision Planting to enhance user experience will benefit customers
• In December 2022, Corteva Agriscience announced a collaboration with NEVONEX, powered by Bosch, to explore the precision application of crop protection products using on-farm data, advanced analytics, and spray equipment. The collaboration intends to create value for farmers by enabling data-driven crop protection applications with standard machine spray technology.
• In February 2021, DroneDeploy, a leading enterprise drone data platform, announced a partnership with Corteva Agriscience, one of the largest pure-play agricultural organizations in the world, to help farmers make better management decisions throughout the year. One of the largest fleets of agricultural drones in the world is managed by Corteva, assisting farmers in planting and harvesting crops effectively, safely, and sustainably.
Table of content:
Chapter 1: Introduction
1.1 Research Objectives
1.2 Research Methodology
1.3 Research Process
1.4 Scope and Coverage
1.4.1 Market Definition
1.4.2 Key Questions Answered
1.5 Market Segmentation
Chapter 2:Executive Summary
Chapter 3:Growth Opportunities By Segment
3.1 By By Type
3.2 By Technology
3.3 By Deployment
3.4 By Application
Chapter 4: Market Landscape
4.1 Porter's Five Forces Analysis
4.1.1 Bargaining Power of Supplier
4.1.2 Threat of New Entrants
4.1.3 Threat of Substitutes
4.1.4 Competitive Rivalry
4.1.5 Bargaining Power Among Buyers
4.2 Industry Value Chain Analysis
4.3 Market Dynamics
4.3.1 Drivers
4.3.2 Restraints
4.3.3 Opportunities
4.5.4 Challenges
4.4 Pestle Analysis
4.5 Technological Roadmap
4.6 Regulatory Landscape
4.7 SWOT Analysis
4.8 Price Trend Analysis
4.9 Patent Analysis
4.10 Analysis of the Impact of Covid-19
4.10.1 Impact on the Overall Market
4.10.2 Impact on the Supply Chain
4.10.3 Impact on the Key Manufacturers
4.10.4 Impact on the Pricing
Chapter 5: AI in Agriculture Market by By Type
5.1 AI in Agriculture Market Overview Snapshot and Growth Engine
5.2 AI in Agriculture Market Overview
5.3 Solution
5.3.1 Introduction and Market Overview
5.3.2 Historic and Forecasted Market Size (2016-2030F)
5.3.3 Key Market Trends, Growth Factors and Opportunities
5.3.4 Solution: Geographic Segmentation
5.4 Service
5.4.1 Introduction and Market Overview
5.4.2 Historic and Forecasted Market Size (2016-2030F)
5.4.3 Key Market Trends, Growth Factors and Opportunities
5.4.4 Service: Geographic Segmentation
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Chapter 6: AI in Agriculture Market by Technology
6.1 AI in Agriculture Market Overview Snapshot and Growth Engine
6.2 AI in Agriculture Market Overview
6.3 Machine Learning
6.3.1 Introduction and Market Overview
6.3.2 Historic and Forecasted Market Size (2016-2030F)
6.3.3 Key Market Trends, Growth Factors and Opportunities
6.3.4 Machine Learning: Geographic Segmentation
6.4 Computer Vision
6.4.1 Introduction and Market Overview
6.4.2 Historic and Forecasted Market Size (2016-2030F)
6.4.3 Key Market Trends, Growth Factors and Opportunities
6.4.4 Computer Vision: Geographic Segmentation
6.5 and Predictive Analytics
6.5.1 Introduction and Market Overview
6.5.2 Historic and Forecasted Market Size (2016-2030F)
6.5.3 Key Market Trends, Growth Factors and Opportunities
6.5.4 and Predictive Analytics: Geographic Segmentation
To be continued….
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