PUBLISHER: AnalystView Market Insights | PRODUCT CODE: 1514940
PUBLISHER: AnalystView Market Insights | PRODUCT CODE: 1514940
AI in Agriculture Market size was valued at USD 1,790.21 million in 2023, expanding at a CAGR of 17.10% from 2024 to 2032.
AI is transforming the agricultural industry by improving efficiency, productivity, and sustainability. The sector is progressively embracing AI solutions to improve the quality of crops, control pests, monitor soil and environmental conditions, simplify data management for farmers, reduce their workload, and enhance various agricultural processes throughout the entire food production cycle. The advancements in Agricultural AI have resulted in the creation of applications and tools that assist farmers in implementing accurate and regulated farming practices. These tools provide valuable guidance on water usage, crop rotation, timely harvesting, crop selection, optimal planting methods, pest management, and nutritional control.
AI in Agriculture Market- Market Dynamics
Increased use of unmanned aerial vehicles (UAVs) and Demand For advanced agricultural solutions are expected to drive the growth of the market
UAVs equipped with various types of sensors such as multispectral, hyperspectral, or thermal sensors play a crucial role in capturing detailed images that are instrumental in monitoring the health of crops, identifying diseases, and evaluating the growth stages of plants. According to Drone Usage Statistics, the global market for agricultural drones is projected to reach a value of USD 380 million by 2023. The US Department of Defense (DoD) estimates that there are currently over 11,000 unmanned aerial systems (UAS) being utilized by the Pentagon for both domestic training events and overseas contingency missions. As the global population continues to grow, there is an urgent need to enhance agricultural productivity to ensure food security. Advanced AI solutions have emerged as a valuable tool in optimizing farming practices and increasing yields. These technologies offer significant advantages in terms of efficiency, productivity, and sustainability, making AI a transformative force in modern agriculture. Additionally, the increasing focus on sustainability and resource management presents potential growth opportunities for the market. However, the high initial investment required may pose a challenge to the growth of the market.
AI in Agriculture Market- Key Insights
As per the analysis shared by our research analyst, the global market is estimated to grow annually at a CAGR of around 17.10% over the forecast period (2024-2032)
Based on Technology segmentation, Machine Learning was predicted to show maximum market share in the year 2023
Based on Offering segmentation, Software was the leading type in 2023
Based on Application segmentation, Precision Farming was the leading type in 2023
Based on region, North America was the leading revenue generator in 2023
The Global AI in Agriculture Market is segmented based on Technology, Offering, Application, and Region.
The market is categorized into three sections according to Technology: Machine Learning, Computer Vision, and Predictive Analytics. Machine Learning holds the largest share of the market. By analyzing soil moisture data, weather forecasts, and crop requirements, machine learning effectively optimizes water usage, ensuring that crops receive the appropriate amount of water at a precise time.
The market is divided into four categories based on Offering: Hardware, Software, AI-as-a-Service, and Service. The software segment dominates the market. The AI in the agriculture market is increasingly driven by advanced software solutions that integrate machine learning, data analytics, and automation. These software applications are designed to optimize various agricultural processes, improving efficiency, productivity, and sustainability.
The market is divided into five categories based on Application: Precision Farming, Agriculture Robots, Livestock Monitoring, Drone Analytics, Labor Management, and Others. Precision Farming dominates the market. Precision farming, also known as precision agriculture, leverages AI, machine learning, and data analytics to optimize field-level management concerning crop farming.
AI in Agriculture Market- Geographical Insights
Geographically, this market spans North America, Latin America, Europe, Asia Pacific, and the Middle East and Africa. These regions are further segmented by countries contributing to business activities. North America leads the market, driven by the increasing demand for precision farming techniques and the presence of advanced infrastructure. The region benefits from a strong technological foundation, such as high-speed internet connectivity and widespread use of digital farming technologies. As per the Agricultural Resource Management Survey (ARMS), 72% of cornfields and 70% of wheat fields utilize precision agriculture technologies. Precision agriculture is extensively used in countries like the United Kingdom, the United States, Denmark, and the United Kingdom, covering around 90% of wheat, barley, oilseed rape, grass seed, and peas. Europe follows as the second largest region for market growth, attributed to the growing adoption of IoT.
The competitive landscape of the AI in agriculture market is intense, as multiple companies strive to introduce cutting-edge technologies and secure a larger market share. The competition is fueled by the goal of enhancing agricultural productivity, sustainability, and profitability. Ongoing advancements in AI, machine learning, IoT, and sensor technologies are essential. Businesses are making significant investments in research and development to maintain a competitive edge. Those companies that can quickly innovate, establish strategic collaborations, and provide user-friendly solutions are poised to dominate the market.
AGCO, a renowned company in the agricultural machinery and precision ag technology sector, has recently partnered with BASF Digital Farming, Robert Bosch GmbH, and Raven Industries Inc. The purpose of this collaboration is to conduct a proof of concept (PoC) study. The study aims to assess the effectiveness and efficiency of targeted spraying technology in the application of crop protection products. By reducing crop input costs and promoting farm and sustainability, this technology has the potential to revolutionize the agricultural industry.
GLOBAL AI IN AGRICULTURE MARKET KEY PLAYERS- DETAILED COMPETITIVE INSIGHTS
Raven Industries Inc.
Farmers Edge Inc.
Deere & Company
A.A Taranis Visual Ltd.
Gamaya SA
AGCO Corporation
Bayer AG
IBM Corporation
Ag Leader Technology
Trimble Inc.
Others