AI In Agriculture Market to Grow Worth USD 13.0 Billion by 2033 | Exhibiting CAGR of 19.48%

𝐆𝐥𝐨𝐛𝐚𝐥 𝐀𝐈 𝐈𝐧 𝐀𝐠𝐫𝐢𝐜𝐮𝐥𝐭𝐮𝐫𝐞 𝐌𝐚𝐫𝐤𝐞𝐭 𝐒𝐭𝐚𝐭𝐢𝐬𝐭𝐢𝐜𝐬: 𝐔𝐒𝐃 𝟏𝟑.𝟎 𝐁𝐢𝐥𝐥𝐢𝐨𝐧 𝐕𝐚𝐥𝐮𝐞 𝐛𝐲 𝟐𝟎𝟑𝟑

𝐒𝐮𝐦𝐦𝐚𝐫𝐲:

● The global AI in agriculture market size reached USD 2.2 Billion in 2024.
● The market is expected to reach USD 13.0 Billion by 2033, exhibiting a growth rate (CAGR) of 19.48% during 2025-2033.
● North America leads the market, accounting for the largest AI in agriculture market share.
● Software holds the majority of the market share in the offering segment because it provides essential tools for data analysis, decision-making, and automation. 
● Machine learning exhibits a clear dominance in the AI in agriculture industry.
● Precision farming remains a dominant segment in the market due to its ability in optimizing inputs like water, fertilizer, and labor.
● The increasing demand for food around the world is a primary driver of the AI in agriculture market.
● Technological advancements and the integration of Internet of Things (IoT) are reshaping the AI in agriculture market.

𝐑𝐞𝐪𝐮𝐞𝐬𝐭 𝐟𝐨𝐫 𝐚 𝐬𝐚𝐦𝐩𝐥𝐞 𝐜𝐨𝐩𝐲 𝐨𝐟 𝐭𝐡𝐢𝐬 𝐫𝐞𝐩𝐨𝐫𝐭: https://www.imarcgroup.com/ai-in-agriculture-market/requestsample

𝐈𝐧𝐝𝐮𝐬𝐭𝐫𝐲 𝐓𝐫𝐞𝐧𝐝𝐬 𝐚𝐧𝐝 𝐃𝐫𝐢𝐯𝐞𝐫𝐬:

● 𝐈𝐧𝐜𝐫𝐞𝐚𝐬𝐢𝐧𝐠 𝐝𝐞𝐦𝐚𝐧𝐝 𝐟𝐨𝐫 𝐟𝐨𝐨𝐝 𝐩𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧:

Since the population is on the rise in all regions of the world, farmers are interested in the idea of raising crop yields without harming the environment. AI can provide information on recommendations for organization of crops, methods of water supply and pests and soil conditions. It is also helping in predictions of the weather and therefore farmers are practicing all sorts of farming methodologies as per the conditions. In this way, when the agriculture sector adopt the artificial intelligence technology the agriculture sector is playing a big role in feeding the growing population around the work with less resources as well as energy while boosting food security in the world markets and also reducing the gaps between crops.

● 𝐂𝐨𝐬𝐭 𝐞𝐟𝐟𝐢𝐜𝐢𝐞𝐧𝐜𝐲 𝐚𝐧𝐝 𝐬𝐡𝐨𝐫𝐭𝐚𝐠𝐞 𝐨𝐟 𝐥𝐚𝐛𝐨𝐫𝐞𝐫𝐬:

This has make automation and robotics AI technologies relevant due to cost inflation of labour and scantiness of skill labour. They are slowly finding their way in the management of systems in practices; a practice such as planting or even the process of monitoring the crop up to the time of harvesting will help in reducing the relied-on human resource. It also improves operations efficiency since it entails involving a huge data and making decision regarding utilization of the resources or crop health and frequency of irrigation. To increase the overall cost control and its productivity and to ensure that the business of agriculture be financially sustainable in light of the issues presented on labour, AI is advantageous for the management exercise which allows many man hours and analysis on factors such as water and fertilizer that has been spent in the process.

● 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐜𝐚𝐥 𝐚𝐝𝐯𝐚𝐧𝐜𝐞𝐦𝐞𝐧𝐭𝐬 𝐚𝐧𝐝 𝐢𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧 𝐨𝐟 𝐈𝐧𝐭𝐞𝐫𝐧𝐞𝐭 𝐨𝐟 𝐓𝐡𝐢𝐧𝐠𝐬 (𝐈𝐨𝐓):

The Internet of Things such as sensors, drones and weather stations are now in a position to provide continuous information about crops, soil and other seasonal conditions. It is this data that is handled by AI systems to provide suggestions on issues such as irrigation, fertilizer and pest control to help farmers make accurate decisions in these areas. These include the leap of AI in farming by increasing efficiency and sustainability in addition to reducing resource use, wastage and increasing yields. The use of four skills in making farming smart by automating processes in agriculture to increase productivity.

𝐁𝐮𝐲 𝐅𝐮𝐥𝐥 𝐑𝐞𝐩𝐨𝐫𝐭: https://www.imarcgroup.com/checkout?id=6604&method=502

𝐀𝐈 𝐈𝐧 𝐀𝐠𝐫𝐢𝐜𝐮𝐥𝐭𝐮𝐫𝐞 𝐌𝐚𝐫𝐤𝐞𝐭 𝐑𝐞𝐩𝐨𝐫𝐭 𝐒𝐞𝐠𝐦𝐞𝐧𝐭𝐚𝐭𝐢𝐨𝐧:

𝐁𝐫𝐞𝐚𝐤𝐮𝐩 𝐁𝐲 𝐎𝐟𝐟𝐞𝐫𝐢𝐧𝐠:

● Software
● Hardware
● AI-as-a-Service
● Services

Software represents the largest segment because AI software enables a wide range of applications, ranging from crop monitoring to predictive analytics, making it essential for farming operations.

𝐁𝐫𝐞𝐚𝐤𝐮𝐩 𝐁𝐲 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐲:

● Machine Learning
● Computer Vision
● Predictive Analytics

Machine learning accounts for the majority of the market share as it allows for data-driven insights, optimizing farming practices, such as yield prediction, pest management, and soil health analysis.

𝐁𝐫𝐞𝐚𝐤𝐮𝐩 𝐁𝐲 𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧:

● Precision Farming
● Agriculture Robots
● Livestock Monitoring
● Drone Analytics
● Labor Management
● Others

Precision farming exhibits a clear dominance in the market because it enables farmers in optimizing resources, and increasing crop yields through data-driven and technology-based approaches.

𝐁𝐫𝐞𝐚𝐤𝐮𝐩 𝐁𝐲 𝐑𝐞𝐠𝐢𝐨𝐧:

● North America (United States, Canada)
● Asia Pacific (China, Japan, India, South Korea, Australia, Indonesia, Others)
● Europe (Germany, France, United Kingdom, Italy, Spain, Russia, Others)
● Latin America (Brazil, Mexico, Others)
● Middle East and Africa

North America enjoys the leading position in the AI in agriculture market due to its high adoption of advanced agricultural technologies, robust investments, and government initiatives promoting AI solutions.

𝐀𝐬𝐤 𝐀𝐧𝐚𝐥𝐲𝐬𝐭 𝐟𝐨𝐫 𝐒𝐚𝐦𝐩𝐥𝐞 𝐑𝐞𝐩𝐨𝐫𝐭: https://www.imarcgroup.com/request?type=report&id=6604&flag=C

𝐓𝐨𝐩 𝐀𝐈 𝐈𝐧 𝐀𝐠𝐫𝐢𝐜𝐮𝐥𝐭𝐮𝐫𝐞 𝐌𝐚𝐫𝐤𝐞𝐭 𝐋𝐞𝐚𝐝𝐞𝐫𝐬:

The AI in agriculture market research report outlines a detailed analysis of the competitive landscape, offering in-depth profiles of major companies. Some of the key players in the market are:

● A.A.A Taranis Visual Ltd.
● Ag Leader Technology
● AgEagle Aerial Systems Inc.
● Bayer AG
● Deere & Company
● Gamaya
● Granular Inc. (DuPont de Nemours, Inc.)
● International Business Machines Corporation
● Raven Industries Inc.
● Trimble Inc.
● Oracle Corporation
● Wipro Limited

𝐍𝐨𝐭𝐞: 𝐈𝐟 𝐲𝐨𝐮 𝐧𝐞𝐞𝐝 𝐬𝐩𝐞𝐜𝐢𝐟𝐢𝐜 𝐢𝐧𝐟𝐨𝐫𝐦𝐚𝐭𝐢𝐨𝐧 𝐭𝐡𝐚𝐭 𝐢𝐬 𝐧𝐨𝐭 𝐜𝐮𝐫𝐫𝐞𝐧𝐭𝐥𝐲 𝐰𝐢𝐭𝐡𝐢𝐧 𝐭𝐡𝐞 𝐬𝐜𝐨𝐩𝐞 𝐨𝐟 𝐭𝐡𝐞 𝐫𝐞𝐩𝐨𝐫𝐭, 𝐰𝐞 𝐰𝐢𝐥𝐥 𝐩𝐫𝐨𝐯𝐢𝐝𝐞 𝐢𝐭 𝐭𝐨 𝐲𝐨𝐮 𝐚𝐬 𝐚 𝐩𝐚𝐫𝐭 𝐨𝐟 𝐭𝐡𝐞 𝐜𝐮𝐬𝐭𝐨𝐦𝐢𝐳𝐚𝐭𝐢𝐨𝐧.

𝐂𝐨𝐧𝐭𝐚𝐜𝐭 𝐔𝐒

IMARC Group
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𝐀𝐛𝐨𝐮𝐭 𝐔𝐬

IMARC Group is a global management consulting firm that helps the world's most ambitious changemakers to create a lasting impact. The company provide a comprehensive suite of market entry and expansion services. IMARC offerings include thorough market assessment, feasibility studies, company incorporation assistance, factory setup support, regulatory approvals and licensing navigation, branding, marketing and sales strategies, competitive landscape and benchmarking analyses, pricing and cost research, and procurement research.

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