Agriculture - AM News

Market Overview

China AI in Agriculture Market was USD 148.24 Million in 2023 and is expected to reach USD 232.15 Million with a CAGR of 7.84% from 2023 to 2029.

China’s Artificial Intelligence (AI) in Agriculture market is growing at a tremendous rate. Technologically advanced China is using AI to transform its enormous agricultural sector. It employs AI-based solutions for precision agriculture, crop disease detection, automated irrigation, and yield forecasting. Supportive policies of the Chinese government and massive investment in AI research and development are also driving the growth of this market further. This implementation of AI in agriculture is assisting China in boosting its agricultural productivity while minimizing its environmental impact.

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Key Market Drivers

Increase Adoption of Precision Agriculture
The high growth of precision agriculture in China is strongly driving the AI in Agriculture Market. Precision agriculture uses sophisticated technologies, such as artificial intelligence (AI), remote sensing, and data analytics, to enhance agricultural practices. AI-based solutions give farmers real-time information about crop health, soil health, and weather conditions, allowing for data-driven decision-making.

AI application in agriculture improves efficiency in the use of resources, decreases wastage of inputs, and increases yields. For example, autonomous farming equipment, like unmanned transplanters and harvesters, has been designed to carry out operations with high accuracy, greatly enhancing efficiency of operation.

Support from the government of China towards digital agriculture also accelerates the trend. In 2024, the Ministry of Agriculture and Rural Affairs announced that the share of the role of scientific and technological progress in agriculture exceeded 62%, and the rate of mechanization of crop cultivation and harvesting as a whole was 73%.

The application of AI in agriculture is revolutionizing conventional farming practices, resulting in more efficient and sustainable food production systems. With China’s ongoing investment in AI technologies, the agricultural sector is set to experience major breakthroughs, aligning with the country’s overall objectives of sustainable development and food security.

Key Market Trends

AI-Powered Agricultural Machinery & Robotics
The coupling of AI-based farm equipment and robotics is a revolutionary wave in the China AI in Agriculture Market. These next-generation technologies, based on machine learning algorithms, computer vision, and real-time data analysis, are integrated into autonomous tractors, harvesters, and robot systems. These smart machines execute key operations like planting, fertilizing, harvesting, and sorting with unprecedented precision and efficiency, drastically cutting the need for human labor.

Machine learning-based machines are transforming agricultural activities by allowing round-the-clock, real-time task execution and tracking. Autonomous tractors have the ability to plow land with centimeter precision, and robotic harvesters gently harvest fruits and vegetables without damaging them. Intelligent drones with AI sensors also increase farming by tracking crop health, detecting pests, and regulating irrigation. Such mechanization not only increases productivity but also helps in resource optimization, reducing waste and increasing sustainability.

The integration of AI-based machinery is consistent with China’s drive for agricultural modernization in the face of increasing labor shortages and an aging rural population. AI technologies are enabling farmers to optimize yield, lower costs, and tackle environmental issues, making China’s agriculture sector a global innovation leader.

AI Applications in Crop Monitoring & Disease Detection
AI-based solutions in crop monitoring and disease identification are a major pattern in the China AI in Agriculture Market. AI-based technologies, including image recognition and computer vision, are utilized to examine visual data picked up by drones or sensors. This allows for the early identification of crop diseases, pests infestations, and nutrient deficiencies, enabling farmers to intervene early to safeguard their crops.

Not only is the application of AI to crop monitoring a fulfillment of sustainable agriculture objectives but it also delivers major advantages. By minimizing dependency on chemical inputs and maximizing use of resources, AI allows crops to be cultivated by farmers more environmentally and less wastefully. With the capability to quickly process big data and recognize subtle patterns, AI enables farmers to make better decisions and take targeted interventions, leading to healthier crops, increased yields, and ultimately, a more sustainable and productive agriculture sector.

Segmental Insights
Technology Insights
As per the Technology

China’s robust focus on AI implementation and agricultural modernization further stimulates this trend. Initiatives from the government, such as the “Digital Agriculture and Rural Development Plan,” support the use of AI technologies like machine learning to redefine conventional agriculture. With its capability to change the face of precision agriculture, enhance resource usage, and accommodate dynamic farming demands, machine learning will be the driving force for determining the future of Chinese agriculture.

Offering Insights
According to the Offering,

In addition to this, AI-As-A-Service offers a flexible and scalable solution that can be tailored to suit the unique requirements of various agricultural operations. Be it precision agriculture, livestock management, or supply chain optimization, AI-As-A-Service has a plethora of applications that can transform the manner in which farming is conducted. In summary, the emergence of AI-As-A-Service in the China AI in Agriculture Market is changing the business by bringing sophisticated AI capabilities into reach and within affordable prices. With farmers adopting this technology-driven solution, they are able to unlock new sources of growth, sustainability, and productivity in the constantly changing world of farming.

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Regional Insights
East China, which includes provinces such as Jiangsu, Zhejiang, and Shanghai, dominates the China AI in Agriculture market today. This area has gone out of its way to adopt cutting-edge farming technologies and the use of AI to drive efficiencies in farming and increase crop output. With its strong technological framework and unshakeable government support, East China remains at the forefront of implementing AI applications across the agricultural value chain. The area’s focus on innovation has brought about the establishment of advanced solutions like precision agriculture, intelligent irrigation systems, and crop monitoring technology, which have transformed conventional agriculture. In addition, East China’s good climatic conditions and abundant agricultural resources create a suitable environment for applying AI technologies to agriculture. The extensive farmlands and diversified agriculture of the region provide it with a good test bed for AI-based solutions customized to various crops and types of farming.

Internet of Things (IoT) in Farm Management Market size projected to reach $98.34 billion by 2035, growing at a CAGR of 19.6%. This expansion is driven largely by the international need for increased food production. As the population of the world continues to grow, farming systems are increasingly being pushed to improve efficiency and productivity. IoT technologies are at the center of this, enabling precision agriculture, resource optimization, improved crop yields, and reducing wastage.

Segments covered	Component, Application, Farm
Growth Drivers	Increasing demand for food production across the world Rising adoption of precision farming Technological advancements in IoT and AI Government initiatives and subsidies to promote IoT adoption in agriculture Growing climate change and environmental concerns
Pitfalls & Challenges	High initial investment in IoT implementation Data security and privacy concerns

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By System	Automation and control systems Sensing and monitoring devices Livestock monitoring Hardware Fish farming hardware Smart greenhouse hardware Software
By Farm Type	Large Mid Size Small Farms
By Application	Precision farming Livestock monitoring Smart greenhouse Fish farm monitoring
By Region	North America (U.S., Canada, Mexico) Europe (UK, Germany, France, Italy, Spain, Russia, Austria, Netherlands, Denmark, Rest of Europe) Asia-Pacific (China, India, Japan, Australia, South Korea, Thailand, Malaysia, Singapore, Indonesia, New Zealand, Rest of Asia-Pacific) LAMEA (Brazil, Argentina, South Africa, Middle East, Saudi Arabia, Egypt, Nigeria, Rest of LAMEA)
Key Market Players	Telit Corporate Group, Trimble Inc., Farmers Edge Inc., SWIIM System, Ltd., Cisco Systems, Inc., Hitachi, Ltd, Climate LLC, Decisive Farming Corp., SlantRange, Inc., International Business Machines Corporation

In addition, the IoT in agricultural management industry is experiencing a boom, thanks in large part to the increasing adoption of precision farming. Precision farming, with the use of IoT devices, carefully tracks and controls crops and livestock, resulting in maximized resource allocation and increased yields. IoT sensor real-time data on soil, weather, and crop health enables farmers to make data-driven decisions, resulting in increased efficiency, cost savings, and reduced waste.

Apart from economic advantages, precision farming also resolves environmental issues by reducing water, fertilizer, and pesticide use. With the agricultural community increasingly becoming aware of these benefits, demand for IoT solutions in farm management is on a consistent rise, driving market growth.

The IoT in farm management market is faced with high barriers, mainly due to the enormous initial investments involved. The purchase and deployment of IoT devices, sensors, connectivity options, and data management platforms can be prohibitive, particularly for small and medium-sized farms. Moreover, recurrent costs of maintenance, software renewal, and storage of data further contribute to the cost. As much as the long-term gains IoT offers are attractive, such initial costs usually discourage farmers from embracing it. Compounding these issues is the lack of access to financing options and the wariness of technology among established farming communities, slowing down market growth.

Internet of Things in Farm Management Market Trends
Technology growth in AI and ML is driving farm management IoT industry growth. The new technologies, such as improved sensors, drones, and connectivity platforms, provide real-time monitoring of vital farm measurements like soil health, weather conditions, and plant development. AI especially reinforces the benefits through data analysis, predictive analytics, and automation. For instance, AI software can forecast yields, automate irrigation, and even diagnose disease before symptoms emerge. Such technologies not only optimize farm operations but also support decision-making, thereby eventually increasing productivity and driving market growth.

In a December 2023 example of note, British International Investment (BII) and TDK Ventures co-led a Series A funding round of INR 100 crore (some USD 12 million) in Indian Agri-tech company Fasal, which focuses on precision farming solutions. The investment was meant to strengthen Fasal’s horticulture optimization platform, which uses patented IoT-crop intelligence to increase yields and reduce operating expenses for farmers.

North America’s agricultural management market is a large force in the IoT world, with a large chunk of 37% of the market in 2023. The professionals estimate it will become even larger, reaching more than $7.3 billion by 2032. This is due to all the fancy new technology farmers are employing, such as precision farming, intelligent irrigation, and even monitoring systems for their animals. The U.S. and Canada are taking the lead, investing a lot in these technologies. Even the government is entering the fray, providing funds to research and development and encouraging sustainable agriculture. And then there are the tech-literate farmers and the companies offering IoT solutions – they’re all driving the market forward. Farmers are continuously seeking methods of making their activities more efficient and cost-effective while ensuring they do not harm the environment. And IoT is facilitating that!

IoT in farm management is a major market in Europe, boosted by innovative farming practices and a strong government drive for sustainable agriculture. Germany, France, and the UK are pioneer adopters, embracing IoT technologies for precision farming to increase crop yield and optimize the use of resources. The geographical area is equipped with strong infrastructure and high technical awareness among agriculturists. Moreover, a growing need to be environmentally friendly and stringent norms, encourage adoption of IoT technologies for optimized management of farms and thus drive market growth and innovations in Europe.

Internet of Things in Farm Management Market Share
In 2023, Topcon Positioning Systems, Inc., CNH Industrial N.V., and Lindsay Corporation collectively held a commanding market share of more than 18%. Topcon’s jewel, the TAP (Topcon Agriculture Platform), utilizes IoT technology to transform farm management. TAP smoothly integrates connectivity, cloud services, and data analytics powered by its Cloudlynk devices. The devices provide automatic data synchronization, facilitate remote support, and improve fleet management, leading to an integrated ecosystem for farm equipment.

CNH Industrial’s Precision Farming solutions, which are fundamentally based on IoT, are at the heart of their farm management strategy. Their telematics solutions collect data in real time, allowing farmers to optimize machine performance and enhance crop yields. With a pool of connected tractors and farm equipment, CNH Industrial is providing farmers with data-driven recommendations, enabling them to make more informed decisions and maximize their farm’s performance.

Lindsay Corporation’s FieldNET, which is powered by IoT, is a game-changer for farm management. It enables remote monitoring and control of irrigation systems and makes it possible for farmers to make real-time, data-informed decisions. Through leveraging predictive analytics, Lindsay’s platform not only improves crop management but also provides a boost to sustainability initiatives, optimizing water and energy consumption.

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