The Latin America, Middle East and Africa Agriculture Analytics Market would witness market growth of 18.4% CAGR during the forecast period (2023-2030).
Agricultural land is becoming increasingly inaccessible. Population growth, urbanization, water scarcity, and climate change have a significant impact on the agricultural land. To meet the rising food demand, businesses and the government are encouraging the implementation of urban farming and vertical farming. Utilizing structures and unused land to organize crop yields into vertical columns is driving demand for agriculture analytics solutions. In addition to soil condition, field planning, reproduction management, and irrigation management, the system provides alerts and insights on a variety of other topics. This reduces injury and promotes the growth of high-quality produce.
In addition, the rising demand for livestock management, which increases the pressure on producers and can lead to mismanagement, is driving the expansion of the market. In order to eliminate the risks associated with this mismanagement, as well as the increasing demand for animal surveillance, the market is expanding.
A moderate expansion is anticipated for LAMEA as a result of the increasing demand for AI-powered systems employing deep learning techniques. Due to the growing prevalence of applications that combine IoT and AI, such as predictive analysis and machine learning, the market for artificial intelligence in agriculture is expected to expand at a high growth rate. Despite the progress made in agricultural innovation programs over the past two decades, there is an imperative need for improved infrastructure for agricultural research, innovation, and technology, to address these problems. In addition, as environmental concerns increase, producers are putting a greater emphasis on sustainable agriculture practices, such as natural resource conservation. As a result, there is a greater requirement to enhance crop protection and nutrition. Due to technological advancements, many new opportunities for maximizing yields and mitigating waste have emerged. In light of these factors, it is anticipated that the market will grow significantly.
The Brazil market dominated the LAMEA Agriculture Analytics Market by Country in 2022, and would continue to be a dominant market till 2030; thereby, achieving a market value of $62.2 million by 2030. The Argentina market is showcasing a CAGR of 19% during (2023 - 2030). Additionally, The UAE market would register a CAGR of 18.1% during (2023 - 2030).
Based on Offering, the market is segmented into Solution and Services. Based on Agriculture Type, the market is segmented into Precision Farming, Livestock Farming, Aquaculture Farming, Vertical Farming and Others. Based on End User, the market is segmented into Farmers, Agronomists, Agribusinesses, Agricultural Researchers and Government Agencies & Others. Based on Farm Size, the market is segmented into Large Farms and Small & Medium-Sized Farms. Based on Technology, the market is segmented into Remote Sensing & Satellite Imagery, Geographic Information System, Robotics & Automation, Big Data & Cloud Computing, Visualization & Reporting, Blockchain Technology and Others. Based on countries, the market is segmented into Brazil, Argentina, UAE, Saudi Arabia, South Africa, Nigeria, and Rest of LAMEA.
Free Valuable Insights: The Worldwide Agriculture Analytics Market is Projected to reach USD 3.4 Billion by 2030, at a CAGR of 13.1%
The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include IBM Corporation, SAP SE, Oracle Corporation, Accenture PLC, SAS Institute, Inc., Tetra Laval International S.A. (DeLaval), Deere & Company, Bayer AG, Iteris, Inc. and Trimble, Inc.
By Offering
By Agriculture Type
By End User
By Farm Size
By Technology
By Country
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