The Brazil AI in agriculture market size reached USD 0.05 Billion in 2024. Looking forward, IMARC Group expects the market to reach USD 0.23 Billion by 2033, exhibiting a growth rate (CAGR) of 19.51% during 2025-2033. The market is driven by the growing adoption of precision farming practices, surging demand for data-driven decision-making in farming, increasing awareness about sustainable agricultural practices and resource optimization, and government policies and investment encouraging the adoption of AI in agriculture.
Report Attribute
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Key Statistics
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Base Year
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2024 |
Forecast Years
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2025-2033
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Historical Years
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2019-2024
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Market Size in 2024 | USD 0.05 Billion |
Market Forecast in 2033 | USD 0.23 Billion |
Market Growth Rate (2025-2033) | 19.51% |
Increasing Adoption of Precision Farming Techniques
One of the main drivers of the Brazil AI in agriculture market is the increasing application of precision farming techniques. Precision farming refers to the application of data and technology to optimize farming techniques, thereby enhancing productivity and efficiency. In Brazil, where agriculture is a vital sector of the economy, farmers are now employing AI-based solutions to monitor crop health, irrigation, and fertilizer application more effectively. Through the utilization of AI algorithms to analyze data from a multitude of sources, such as satellite images and soil sensors, farmers can make improved decisions that result in greater production at reduced costs. For instance, as per Revolutionizing Brazilian Agriculture: How AI and Agritech Startups Are Transforming Farming in 2023, over $110 million was invested in AI-focused agricultural companies in the first quarter of 2023 alone, demonstrating the significant interest in agritech startups across the nation. Innovations fueled by this capital inflow have the potential to revolutionize conventional farming methods and make them more productive, sustainable, and efficient. Firms like AgroIntelli and Solinftec, are harnessing this potential, anticipating a rise of 15%-20% and 25% respectively on Brazilian agricultural productivity. This shift to precision farming improves productivity and encourages sustainable operations by minimizing the use of resources. As more farmers recognize the worth that AI brings to precision agriculture, there is greater demand for such technologies, enabling industry growth.
Rising Interest in Sustainability and Climate-Smart Agriculture
The growing interest in sustainability and climate-smart agricultural practices is significantly influencing the growth of the Brazil AI in agriculture market. Farmers in Brazil are becoming increasingly aware of the environmental impact of traditional farming methods, leading to a demand for technologies that promote sustainable practices. For example, one of the earliest climate-smart agriculture initiatives to integrate climate-altering technologies among Brazilian farmers was the MAIS Program (Modulo Agroclimático Inteligente e Sustentável). According to the United Nations Framework Convention on Climate Change, the program has raised dairy output among farmers by 63% and boosted their earnings by 204%. It has also led to a 30% enhancement in pastureland, a 50% reduction in the water usage of the region’s farms, and a 30% decline in production fluctuations. Over 650 farmers were involved in the program's development over a 12-year period, and for every US dollar invested, the Jacuipe Basin has produced over USD 7. AI is playing a notable role in this transition by providing insights into resource usage, optimizing irrigation systems, and improving crop management practices. For instance, AI algorithms can analyze weather patterns and soil conditions to suggest optimal planting times, minimizing waste and maximizing resource efficiency. Additionally, sustainable practices supported by AI can enhance resilience against climate change, ensuring that agricultural practices remain viable even in shifting weather patterns. As consumers demand more sustainably produced food, farmers are motivated to adopt AI technologies that align with these values, driving growth in the market.
Government Initiatives and Funding
Government programs and grants are a vital part of the shaping the Brazilian AI in agriculture market. Moreover, technology is recognized as the key to raising agricultural productivity and sustainability. For this reason, the Government of Brazil has started numerous programs supporting innovation in the sector. They comprise financial aid, grants, and partnership with research institutions for developing and applying AI technology. For instance, Brazil's Agricultural Research Corporation (EMBRAPA) collaborates with technology companies to develop AI products specifically targeting Brazilian local farming conditions. Another instance is that the Brazilian government has made an open proposal for domestically developing artificially developed intelligence models (AI) for different areas of governmental administration. The "Brazilian Artificial Intelligence Plan" (PBIA) seeks to advance the ethical use of AI, enhance technical autonomy, and enhance the competitiveness of the Brazilian economy. The plan will cost R$ 23 billion (USD $4 billion) by 2028, with the majority of the funds being covered by the government. On top of this, the government is conducting different training programs, which equip farmers with information about the benefits of AI and how they can best utilize these technologies. Such assistance is making it easier to use AI in agriculture and providing an innovation-friendly environment that is driving sustained growth in the sector.
IMARC Group provides an analysis of the key trends in each segment of the market, along with forecasts at the regional level for 2025-2033. Our report has categorized the market based on offering, technology, and application.
Offering Insights:
The report has provided a detailed breakup and analysis of the market based on the offering. This includes software, hardware, AI-as-a-service, and services.
Technology Insights:
The report has provided a detailed breakup and analysis of the market based on the technology. This includes machine learning, computer vision, and predictive analysis.
Application Insights:
A detailed breakup and analysis of the market based on the application have also been provided in the report. This includes precision farming, agriculture robots, livestock monitoring, drone analytics, labor management, and others.
Regional Insights:
The report has also provided a comprehensive analysis of all the major regional markets, which include Southeast, South, Northeast, North and Central-West.
The market research report has also provided a comprehensive analysis of the competitive landscape. Competitive analysis such as market structure, key player positioning, top winning strategies, competitive dashboard, and company evaluation quadrant has been covered in the report. Also, detailed profiles of all major companies have been provided.
Report Features | Details |
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Base Year of the Analysis | 2024 |
Historical Period | 2019-2024 |
Forecast Period | 2025-2033 |
Units | Billion USD |
Scope of the Report |
Exploration of Historical Trends and Market Outlook, Industry Catalysts and Challenges, Segment-Wise Historical and Future Market Assessment:
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Offerings Covered | Software, Hardware, AI-as-a-Service, and Others |
Technologies Covered | Machine Learning, Computer Vision, and Predictive Analysis |
Applications Covered | Precision Farming, Agriculture Robots, Livestock Monitoring, Drone Analytics, Labor Management, and Others |
Regions Covered | Southeast, South, Northeast, North and Central-West |
Customization Scope | 10% Free Customization |
Post-Sale Analyst Support | 10-12 Weeks |
Delivery Format | PDF and Excel through Email (We can also provide the editable version of the report in PPT/Word format on special request) |
Key Questions Answered in This Report:
Key Benefits for Stakeholders: