The Latin America, Middle East and Africa Artificial Intelligence in Agriculture Market should witness market growth of 31.1% CAGR during the forecast period (2022-2028).
Farmers are facing a labor shortage since fewer individuals are choosing this profession. Agriculture bots that will work with farmers are one remedy for this. These machines pick crops more swiftly and extensively. Blue River Technologies uses weed-controlling agricultural robots. AI can simplify crop selection and help farmers identify the most lucrative product. In addition, farmers can employ forecasting and predictive analytics to reduce the risk of operational errors and crop failure.
By compiling information on plant growth, AI can help produce crops more tolerant to bad weather and infectious diseases. Chemical analyses of soil can be used by AI systems to accurately determine the quantities of nutrients which are missing. AI can monitor a plant's health to discover and eliminate weeds, find and predict diseases, and recommend practical pest control strategies. Predictive analytics is a real game-changer. Farmers can analyze and collect a much greater volume of data with AI than they could without it.
LAMEA is anticipated to expand moderately due to the growing popularity of AI-powered systems employing deep learning techniques. Due to the increasing popularity of applications that mix IoT and AI, includingpredictive analysis, machine learning, and others, themarket for artificial intelligencein agriculture is anticipated to grow at a dizzying rate. Despite the progress made over the past two decades in agricultural innovation programs, there is still an urgent need to strengthen the infrastructure for agricultural research, technology, and innovation to address these issues. The expansion of the regional market for artificial intelligence in agriculture is anticipated to be fueled by these factors.
The Brazil market dominated the LAMEA Artificial Intelligence in Agriculture Market by Country in 2021, and would continue to be a dominant market till 2028; thereby, achieving a market value of $109.5 million by 2028. The Argentina market is experiencing a CAGR of 31.8% during (2022-2028). Additionally, The UAE market would display a CAGR of 30.8% during (2022-2028).
Based on Technology, the market is segmented into Machine Learning, Computer Vision and Predictive Analytics. Based on Application, the market is segmented into Drone Analytics, Precision Farming, Agricultural Robots, Labor Management, Livestock Monitoring and Others. Based on Offering, the market is segmented into Software, Hardware, AI-as-a-Service and Service. Based on countries, the market is segmented into Brazil, Argentina, UAE, Saudi Arabia, South Africa, Nigeria, and Rest of LAMEA.
The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include Deere & Company, IBM Corporation, Microsoft Corporation, Climate LLC (Bayer AG), Farmers Edge Inc, AgEagle Aerial Systems, Inc., Prospera Technologies, Inc. (Valmont Industries, Inc.), A.A.A Taranis Visual Ltd., CropIn Technology Solutions Private Limited, and Corteva, Inc. (Dow AgroSciences LLC).
Farmers are facing a labor shortage since fewer individuals are choosing this profession. Agriculture bots that will work with farmers are one remedy for this. These machines pick crops more swiftly and extensively. Blue River Technologies uses weed-controlling agricultural robots. AI can simplify crop selection and help farmers identify the most lucrative product. In addition, farmers can employ forecasting and predictive analytics to reduce the risk of operational errors and crop failure.
By compiling information on plant growth, AI can help produce crops more tolerant to bad weather and infectious diseases. Chemical analyses of soil can be used by AI systems to accurately determine the quantities of nutrients which are missing. AI can monitor a plant's health to discover and eliminate weeds, find and predict diseases, and recommend practical pest control strategies. Predictive analytics is a real game-changer. Farmers can analyze and collect a much greater volume of data with AI than they could without it.
LAMEA is anticipated to expand moderately due to the growing popularity of AI-powered systems employing deep learning techniques. Due to the increasing popularity of applications that mix IoT and AI, includingpredictive analysis, machine learning, and others, themarket for artificial intelligencein agriculture is anticipated to grow at a dizzying rate. Despite the progress made over the past two decades in agricultural innovation programs, there is still an urgent need to strengthen the infrastructure for agricultural research, technology, and innovation to address these issues. The expansion of the regional market for artificial intelligence in agriculture is anticipated to be fueled by these factors.
The Brazil market dominated the LAMEA Artificial Intelligence in Agriculture Market by Country in 2021, and would continue to be a dominant market till 2028; thereby, achieving a market value of $109.5 million by 2028. The Argentina market is experiencing a CAGR of 31.8% during (2022-2028). Additionally, The UAE market would display a CAGR of 30.8% during (2022-2028).
Based on Technology, the market is segmented into Machine Learning, Computer Vision and Predictive Analytics. Based on Application, the market is segmented into Drone Analytics, Precision Farming, Agricultural Robots, Labor Management, Livestock Monitoring and Others. Based on Offering, the market is segmented into Software, Hardware, AI-as-a-Service and Service. Based on countries, the market is segmented into Brazil, Argentina, UAE, Saudi Arabia, South Africa, Nigeria, and Rest of LAMEA.
The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include Deere & Company, IBM Corporation, Microsoft Corporation, Climate LLC (Bayer AG), Farmers Edge Inc, AgEagle Aerial Systems, Inc., Prospera Technologies, Inc. (Valmont Industries, Inc.), A.A.A Taranis Visual Ltd., CropIn Technology Solutions Private Limited, and Corteva, Inc. (Dow AgroSciences LLC).
Scope of the Study
By Technology
- Machine Learning
- Computer Vision
- Predictive Analytics
By Application
- Drone Analytics
- Precision Farming
- Agricultural Robots
- Labor Management
- Livestock Monitoring
- Others
By Offering
- Software
- Hardware
- AI-as-a-Service
- Service
By Country
- Brazil
- Argentina
- UAE
- Saudi Arabia
- South Africa
- Nigeria
- Rest of LAMEA
Key Market Players
List of Companies Profiled in the Report:
- Deere & Company
- IBM Corporation
- Microsoft Corporation
- Climate LLC (Bayer AG)
- Farmers Edge Inc
- AgEagle Aerial Systems, Inc.
- Prospera Technologies, Inc. (Valmont Industries, Inc.)
- A.A.A Taranis Visual Ltd.
- CropIn Technology Solutions Private Limited
- Corteva, Inc. (Dow AgroSciences LLC)
Unique Offerings
- Exhaustive coverage
- The highest number of Market tables and figures
- Subscription-based model available
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- Assured post sales research support with 10% customization free
Table of Contents
Chapter 1. Market Scope & Methodology
Chapter 2. Market Overview
Chapter 3. Competition Analysis - Global
Chapter 4. LAMEA Artificial Intelligence in Agriculture Market by Technology
Chapter 5. LAMEA Artificial Intelligence in Agriculture Market by Application
Chapter 6. LAMEA Artificial Intelligence in Agriculture Market by Offering
Chapter 7. LAMEA Artificial Intelligence in Agriculture Market by Country
Chapter 8. Company Profiles
Companies Mentioned
- Deere & Company
- IBM Corporation
- Microsoft Corporation
- Climate LLC (Bayer AG)
- Farmers Edge Inc
- AgEagle Aerial Systems, Inc.
- Prospera Technologies, Inc. (Valmont Industries, Inc.)
- A.A.A Taranis Visual Ltd.
- CropIn Technology Solutions Private Limited
- Corteva, Inc. (Dow AgroSciences LLC)
Methodology
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About the Agriculture AI Market
The Agriculture AI market is a rapidly growing sector of the agriculture industry, focused on the use of artificial intelligence (AI) to improve the efficiency and productivity of agricultural operations. AI-based solutions are used to automate processes, optimize crop yields, and reduce costs. AI-based solutions can also be used to monitor and analyze crop health, soil conditions, and weather patterns, allowing farmers to make informed decisions about their crops. Additionally, AI-based solutions Read more
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