Artificial Intelligence (AI) In Agriculture Market Size
What industry-specific factors are fueling the growth of the artificial intelligence (ai) in agriculture market?
The demand for heightened food production to ensure food security is anticipated to fuel the growth of artificial intelligence (AI) in the agriculture sector. The term food security refers to the adequate availability, accessibility and consumption of food which satisfies people’s nutritional preferences and requirements for leading a healthy and active life. It also emphasizes providing widespread access to safe and nutritious food for all. AI has the potential to upgrade agricultural activities, elevate crop yields, and analyse extensive data including weather trends, soil conditions and the health of crops, providing farmers with precise suggestions and real-time insights. It improves decisions related to irrigation, fertilization, pest control and harvesting, thereby boosting productivity, limiting wastage, enhancing food output and bolstering global food security. For example, as per a July 2023 report by the Food and Agriculture Organization, a Canada-based entity striving to abolish hunger and enhance nutrition and food security, global cereal production in 2023 escalated by 5.9 million tons (0.2 %) in July in relation to the prior month, touching 2,819 million tons, a rise of 1.1% year on year. Moreover, global wheat usage heightened from approximately 762 million tons during 2020-2021 to around 773 million tons in 2021-2022, and it is projected to climb to 780 million tons in 2022-2023. Thus, the requirement for intensified food production for ensuring food security is likely to influence the expansion of the AI in agriculture market.
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What Is the projected market size and growth rate for the artificial intelligence (ai) in agriculture market?
The size of the artificial intelligence (AI) in the agriculture sector has seen a significant increase in recent years. There is an anticipated increase from $2.23 billion in 2024 to $2.71 billion in 2025, representing a compound annual growth rate (CAGR) of 21.6%. Factors contributing to this growth in the historical period include the adoption of precision agriculture, data accessibility, agricultural mechanization, effects of climate change, and labor scarcities.
The market size of artificial intelligence (AI) in agriculture is forecasted to witness significant growth in the upcoming years, with an estimation of $6.58 billion by 2029, recording a compound annual growth rate (CAGR) of 24.8%. Factors contributing to this growth in the forecast period include integration of IoT, improvement in AI algorithms, broadened use of drones, rising global food demand, digital agriculture platforms, AI-based crop breeding, and AI’s role in pest control. Further, the upcoming trends during the forecast phase consist of enhancement in satellite imaging, intelligent irrigation systems, blockchain’s role in the supply chain, integration of farm robots, multi-sensor fusion, and partnerships between technology firms and agricultural organizations.
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What new trends are reshaping the artificial intelligence (ai) in agriculture market and its opportunities?
Pioneering product developments constitute a primary trend for boosting popularity in the AI-based agriculture market. Prominent organizations in the AI and agriculture domain are prioritizing the creation of innovative products, like trailblazing platforms aimed at improving yield forecasts, bolstering decision impact, and encouraging eco-friendly farming procedures. The term “trailblazing platform” signifies a revolutionary system or technique that brings about transformations in a sector, establishing fresh yardsticks and prompting further breakthroughs. These platforms typically meet latent demands and bring out unique solutions. To illustrate, in September 2024, a software firm from the US, Helios AI, introduced CommodiTrack – a superior platform that amalgamates exhaustive climate risk information and predictive analysis to strengthen the durability of the agricultural food supply chain. This platform endows users with practical insights that assist them in promptly reacting to market fluctuations and disturbances.
What major market segments define the scope and growth of the artificial intelligence (ai) in agriculture market?
The artificial intelligence (AI) in agriculture market covered in this report is segmented –
1) By Component: Hardware, Software, Services
2) By Technology: Machine Learning, Predictive Analysis, Computer Vision
3) By Deployment: Cloud, On-Premise, Hybrid
4) By Application: Precision Framing, Agriculture Robots, Livestock Monitoring, Drone Analytics, Labor Management, Other Applications
Subsegments:
1) By Hardware: Sensors, Drones, Imaging Systems, Robotics, Automated Equipment
2) By Software: Data Analytics Platforms, Farm Management Software, AI-Based Prediction Tools, Image Processing Software
3) By Services: Consulting Services, System Integration Services, Maintenance And Support Services
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Which region dominates the artificial intelligence (ai) in agriculture market?
North America was the largest region in the artificial intelligence (AI) in agriculture market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the artificial intelligence (AI) in agriculture market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa
Which key market leaders are driving the artificial intelligence (ai) in agriculture industry growth?
Major companies operating in the artificial intelligence (AI) in agriculture market include Google LLC, Microsoft Corporation, IBM Corporation, Bayer AG, John Deere, Oracle Corporation, CNH Industrial N.V., Wipro Limited., Valmont Industries Inc., Raven Industries Inc., Climate LLC, Granular Inc., Ag Leader Technology Inc., FarmWise Labs Inc., Taranis, Ceres Imaging, AgEagle Aerial Systems Inc., PrecisionHawk, Descartes Labs Inc., Farmobile LLC, AppHarvest, Farmers Edge Inc., Iron Ox, Prospera Technologies, aWhere Inc., Agribotix, Abundant Robotics, Agworld, Harvest Croo Robotics, Gamaya SA, Tule Technologies
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What Is Covered In The Artificial Intelligence (AI) In Agriculture Global Market Report?
• Market Size Forecast: Examine the artificial intelligence (ai) in agriculture market size across key regions, countries, product categories, and applications.
• Segmentation Insights: Identify and classify subsegments within the artificial intelligence (ai) in agriculture market for a structured understanding.
• Key Players Overview: Analyze major players in the artificial intelligence (ai) in agriculture market, including their market value, share, and competitive positioning.
• Growth Trends Exploration: Assess individual growth patterns and future opportunities in the artificial intelligence (ai) in agriculture market.
• Segment Contributions: Evaluate how different segments drive overall growth in the artificial intelligence (ai) in agriculture market.
• Growth Factors: Highlight key drivers and opportunities influencing the expansion of the artificial intelligence (ai) in agriculture market.
• Industry Challenges: Identify potential risks and obstacles affecting the artificial intelligence (ai) in agriculture market.
• Competitive Landscape: Review strategic developments in the artificial intelligence (ai) in agriculture market, including expansions, agreements, and new product launches.
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