Artificial Intelligence in Agriculture Market Hits Milestone - Projected at USD 11.96 Billion By 2032 with a Striking 23.67% CAGR

According to Polaris Market Research predictions, the artificial intelligence in agriculture market size was valued at USD 1.77 billion in 2023. The market is anticipated to grow to USD 11.96 billion by 2032, exhibiting a CAGR of 23.67% during the forecast period.

The globe's population persists in progress, causing a substantial requirement for food production. AI technologies in agriculture engage farmers to improve crop conformity and maximize resource employment to meet the increasing food demands viably.

𝐄𝐱𝐩𝐥𝐨𝐫𝐞 𝐒𝐚𝐦𝐩𝐥𝐞 𝐏𝐃𝐅 𝐨𝐟 𝐭𝐡𝐞 𝐑𝐞𝐩𝐨𝐫𝐭: https://www.polarismarketresearch.com/industry-analysis/artificial-intelligence-in-agriculture-market/request-for-sample

As of mid-November 2022, the global population was positioned at 8.0 billion people. Predictions stipulate that the worldwide population will escalate by roughly 2 billion people in the subsequent three decades from the prevalent 8 billion to 9.7 billion by 2050. Additionally, AI-propelled agricultural technologies permit the application of precision framing techniques and licensing of customized treatment for specific crops and even distinct plants as per their individual needs.

In spite of generating sufficient food to cater to the world's population, approximately 1 billion people yet develop hunger and undernourishment due to food squandering, climate change, and other elements. Luckily, the consolidation of artificial intelligence in agriculture has the possibility to convert food systems and assist convey the global food catastrophe. By comprehending data from manifold sources, AI can assist farmers in rendering data-propelled resolution, maximizing resource utilization, and reduction of environmental influence.

𝐂𝐨𝐦𝐩𝐞𝐭𝐢𝐭𝐨𝐫'𝐬 𝐏𝐨𝐬𝐢𝐭𝐢𝐨𝐧𝐢𝐧𝐠

The market is considerably integrated, with a handful of compact and medium-sized market firms responsible for the bulk of revenue. Prominent players are situating several strategies, joining mergers & acquisitions, deliberating consensus and contracts, advancing, testing, and initiating more production in the artificial intelligence in agriculture market. Some major companies included are:

• AgEagle Aerial Systems Inc.
• aWhere Inc.
• Deere & Company
• Descartes Labs, Inc.
• ec2ce
• GAMAYA
• Granular, Inc.
• IBM Corporation
• Microsoft
• PrecisionHawk
• Prospera Technologies
• Taranis
• The Climate Corporation
• Tule Technologies Inc.
• weLLgo Medical Products GmbH
• VineView

𝐁𝐮𝐲 𝐭𝐡𝐞 𝐋𝐚𝐭𝐞𝐬𝐭 𝐕𝐞𝐫𝐬𝐢𝐨𝐧 𝐨𝐟 𝐭𝐡𝐞 𝐑𝐞𝐩𝐨𝐫𝐭 𝐀𝐯𝐚𝐢𝐥𝐚𝐛𝐥𝐞 𝐍𝐨𝐰: https://www.polarismarketresearch.com/buy/2885/2

𝐆𝐫𝐨𝐰𝐭𝐡 𝐃𝐫𝐢𝐯𝐞𝐫𝐬

• Increasing Demand for Food Security: With the global population expected to reach nearly 10 billion by 2050, there is a pressing need to boost agricultural productivity. AI helps in achieving higher yields through precision farming and efficient resource management.

• Labor Shortages: Agriculture sectors in many countries face labor shortages due to urban migration and an aging farmer population. AI-driven robots and automated systems can perform labor-intensive tasks, reducing the reliance on human labor.

• Climate Change: Changing weather patterns affect crop yields and farming practices. AI can provide farmers with actionable insights through predictive weather analytics and data-driven decision-making tools to adapt to climate variabilities.

𝐑𝐞𝐠𝐢𝐨𝐧𝐚𝐥 𝐈𝐧𝐬𝐢𝐠𝐡𝐭𝐬

• North America dominated the artificial intelligence in the agriculture market owing to the region boasting a gamut of AI requisitions in agriculture, including precision farming, remote sensing, crop observing, predictive logic, and mechanized farming techniques.

• Population escalation, climate change's influence, and worries over water dearth are the factors pushing the Asia Pacific region towards market expansion.

𝐀𝐜𝐜𝐞𝐬𝐬 𝐓𝐡𝐞 𝐅𝐮𝐥𝐥 𝐑𝐞𝐩𝐨𝐫𝐭, 𝐡𝐞𝐫𝐞: https://www.polarismarketresearch.com/industry-analysis/artificial-intelligence-in-agriculture-market

𝐏𝐨𝐥𝐚𝐫𝐢𝐬 𝐌𝐚𝐫𝐤𝐞𝐭 𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡 𝐡𝐚𝐬 𝐬𝐞𝐠𝐦𝐞𝐧𝐭𝐞𝐝 𝐭𝐡𝐞 𝐀𝐫𝐭𝐢𝐟𝐢𝐜𝐢𝐚𝐥 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞 𝐢𝐧 𝐀𝐠𝐫𝐢𝐜𝐮𝐥𝐭𝐮𝐫𝐞 𝐦𝐚𝐫𝐤𝐞𝐭 𝐫𝐞𝐩𝐨𝐫𝐭 𝐛𝐚𝐬𝐞𝐝 𝐨𝐧 𝐭𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐲, 𝐚𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧, 𝐚𝐧𝐝 𝐜𝐨𝐦𝐩𝐨𝐧𝐞𝐧𝐭:

Artificial Intelligence in Agriculture, Technology Outlook (Revenue - USD Billion, 2019 - 2032)
• Computer Vision
• Machine Learning & Deep Learning
• Predictive Analytics

Artificial Intelligence in Agriculture, Application Outlook (Revenue - USD Billion, 2019 - 2032)
• Precision Farming
• Agriculture Robots
• Livestock Monitoring
• Drone Analytics

Artificial Intelligence in Agriculture, Component Outlook (Revenue - USD Billion, 2019 - 2032)
• Services
• Software
• Hardware

𝐌𝐨𝐫𝐞 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐋𝐚𝐭𝐞𝐬𝐭 𝐑𝐞𝐩𝐨𝐫𝐭𝐬 𝐛𝐲 𝐏𝐨𝐥𝐚𝐫𝐢𝐬 𝐌𝐚𝐫𝐤𝐞𝐭 𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡:

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𝐂𝐨𝐧𝐭𝐚𝐜𝐭 𝐈𝐧𝐟𝐨:

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𝐀𝐛𝐨𝐮𝐭 𝐔𝐬:

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