描述

Smart farming is an approach to managing farms using modern information and communication technologies (ICT) to optimize the quantity and quality of agricultural products while minimizing the human labor required. It involves the use of sensors, software solutions, and data analytics to monitor and automate farming processes, making them more data-driven and efficient.

根据最新估计, the global smart farming market is set to achieve an incremental growth of USD 17.6 十亿, 以近乎复合年增长率加速 12.7% 在预测期内 2023-2029. The integration of IoT technology in the agricultural sector has revolutionized farming practices, allowing for seamless connectivity between machines and sensors on farms. This connectivity has paved the way for efficient data collection and analysis, empowering farmers to make well-informed decisions pertaining to crop management, 灌溉, and livestock monitoring. Consequentially, productivity levels have soared, while resource efficiency has reached unprecedented heights.

Such technological advancements in agriculture have come at a crucial time as the global population continues to burgeon, intensifying pressure on the already strained food supply system. In this context, smart farming techniques, particularly precision agriculture, have emerged as a beacon of hope. By leveraging cutting-edge technologies, these techniques enable farmers to maximize crop yields and optimize resource utilization, addressing the daunting challenge of feeding a growing population.

The rapid progress in information and communication technology (ICT) has been a cornerstone in making smart farming more accessible and practical. The integration of sensors, 自动化, artificial intelligence (AI), and machine learning (ML) into agricultural operations has empowered farmers with unprecedented control and monitoring capabilities. From assessing soil conditions and managing water resources to controlling pests and ensuring crop health, these technologies have revolutionized farming practices, spurring remarkable improvements in productivity and sustainability.

而且, the adoption of smart farming practices contributes significantly to environmental sustainability. By minimizing the reliance on pesticides, 肥料, and water resources, farmers can effectively reduce their ecological footprint. Technologies like precision irrigation and crop monitoring play pivotal roles in this regard, enabling farmers to efficiently utilize resources, curtail waste, and mitigate the adverse impact of agricultural practices on the environment.

该报告涵盖了市场规模和增长, 分割, 区域细分, 竞争格局, trends and strategies for global smart farming market. 它提供了对市场的定量分析，使利益相关者能够利用当前的市场机会. 该报告还根据市场趋势和主要竞争对手的方法确定了最重要的机会和战略细分市场.

市场细分

产品: 硬件, 软件
Software by type: control applications, operations management, predictive analytics
Hardware by type: farm computers and accessories, flow control valves, guidance and steering systems, 传感器, yield monitors, 其他的
应用: aquaculture, livestock monitoring and management, precision farming, 其他的
地区: 亚太, 欧洲, 北美, 中东和非洲 (事物), 南美洲

该行业报告提供了全球市场的市场估计和预测, 接下来是对产品的详细分析, 应用, 和地区. The global market for smart farming can be segmented by product: 硬件, 软件. The smart farming market is experiencing significant growth, driven primarily by the hardware segment. This segment encompasses a wide range of devices and equipment used in smart farming practices. As innovative technologies and solutions are rapidly commercialized, there is an increasing demand for these products, particularly in developing regions.

One of the key features of smart farming is the collection and analysis of vast amounts of data. This data includes information related to crop and livestock monitoring, production, growth, and health. In order to effectively gather and utilize this data, a variety of hardware options are available.

Farm machinery automation and control is one area where smart farming hardware finds application. These devices are designed to automate and streamline various tasks performed on the farm, such as plowing, seeding, and harvesting. With precise sowing and harvest requirements, farmers can ensure optimal crop yield and quality.

Sensing and analytical devices are also an essential part of the smart farming hardware ecosystem. These devices collect data on soil moisture, temperature, humidity, and other environmental factors. By monitoring and analyzing this data, farmers can make informed decisions regarding irrigation, fertilization, and pest control, leading to improved efficiency and resource management.

Indoor farming facilities, such as greenhouses, rely heavily on smart farming hardware to maintain ideal climatic conditions. Sensors and control systems enable farmers to regulate temperature, 灯光, and humidity levels, creating an optimal environment for plant growth. This allows for year-round cultivation of crops and greater control over the farming process.

此外, the increasing adoption of emerging technologies has played a significant role in the growth of smart farming hardware. The Internet of Things (IoT) enables connectivity between devices and the seamless exchange of data, facilitating real-time monitoring and decision-making. Blockchain technology provides secure and transparent data management, ensuring the integrity of information collected from different sources. Artificial intelligence (AI) and machine learning algorithms enable predictive analytics and advanced decision support systems. 3D printing technology offers the potential for on-demand manufacturing of customized farming equipment and spare parts.

The software by type market is further segmented into control applications, operations management, predictive analytics. Among them, operations management segment accounted for the largest market share in 2022. 而且, it is expected to expand the highest CAGR during the forecast period. 此外, the hardware by type market has been categorized into farm computers and accessories, flow control valves, guidance and steering systems, 传感器, yield monitors, 其他的. The sensors segment is estimated to account for the largest share of the global smart farming market.

Smart farming market is further segmented by application: aquaculture, livestock monitoring and management, precision farming, 其他的. The precision farming segment captured the largest share of the market in 2022. Precision farming, also known as precision agriculture, revolutionizes agricultural practices by leveraging smart technologies and solutions to enhance efficiency and productivity. By utilizing precision farming techniques, farmers can achieve optimal results in terms of yield, quality, and quantity while minimizing wastage.

This innovative approach to farming relies on real-time observation, 测量, and responses to the variability within and between crops, fields, and animals. Through precision farming, farmers can accurately calculate the required amounts of inputs, such as feed and fertilizers, to maximize outcomes. This not only reduces costs and labor but also increases returns per unit of input utilized.

One of the key advantages of precision farming is the potential for increased crop yields and improved animal performance. By precisely addressing the specific needs of each plant or animal, farmers can optimize their growth and well-being. This leads to higher profitability and a more sustainable agricultural production system.

而且, precision farming aims to promote occupational safety and minimize the environmental impact of agricultural practices. By implementing advanced sensor technologies and specialized software, farmers can establish a seamless connection between spatially distributed variables and appropriate agricultural activities. 例如, precision farming enables farmers to determine the ideal timing and dosage for tillage, seeding, fertilization, herbicide and pesticide application, and harvest. This targeted approach reduces resource wastage and minimizes the ecological footprint of farming operations.

The progress of information and communication technologies (ICT) has played a crucial role in making precision farming a reality. These advancements, coupled with sensor technologies and specialized software, have empowered farmers to effectively manage and control the various aspects of their agricultural operations. The integration of geospatial data, weather information, and crop monitoring systems allows for informed decision-making and precise actions.

根据地区, the smart farming market is segmented into: 亚太, 欧洲, 北美, 中东和非洲 (事物), 南美洲. 据研究, North America had the largest share in the global smart farming market.

主要公司及竞争格局

The report also provides a detailed analysis of several leading smart farming market vendors that include Deere & 公司, CNH Industrial NV, 爱科公司, 久保田株式会社, CLAAS Group, Osram Licht AG, Signify Holding N.V., 巴斯夫公司, Trimble, 公司, GEA 集团公司, AKVA Group, 除其他外. 在这份报告中, 全面分析关键参与者及其策略，以了解市场的竞争前景.

报告范围

To analyze and forecast the market size of the global smart farming market.
To classify and forecast the global smart farming market based on product, 应用, 地区.
To identify drivers and challenges for the global smart farming market.
检查合并等竞争性发展 & 收购, 协议, 合作与伙伴关系, ETC。, in the global smart farming market.
To identify and analyze the profile of leading players operating in the global smart farming market.

为什么选择这份报告

Gain a reliable outlook of the global smart farming market forecasts from 2023 到 2029 跨场景.
确定投资的增长领域.
通过公司简介和市场数据领先于竞争对手.
Excel 格式的跨场景分析易用性的市场预估.
三个月的战略咨询和研究支持.
为单用户许可证提供打印验证.