市场调查报告书
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到 2030 年农业机对机通讯(M2M) 市场预测:按解决方案类型、农业类型、技术、应用和区域进行的全球分析Agriculture Machine to Machine (M2M) Market Forecasts to 2030 - Global Analysis By Solution Type (Hardware, Software and Services), Agriculture Type, Technology, Application and By Geography |
根据Stratistics MRC预测,2024年全球农业机器对机器通讯(M2M)市场规模将达到38.4亿美元,预测期内复合年增长率为10.07%,到2030年将达到68.3亿美元。
在无需人工干预的情况下实现农业机器、设备和管理系统之间的自动资料交换是农业机器对机器通讯(M2M)市场的目标。透过即时监测作物健康、土壤状况、灌溉和牲畜管理,农业中的 M2M 技术利用物联网感测器、无线连接和资料分析来提高产量。
根据2021年7月10个政府机构联合公布的三年计划,到2023年终,中国5G行动用户将开拓5.6亿,并将高速无线技术在大型企业中的渗透率提高到35%。 %。到2023年终,中国预计5G在私人消费者中的渗透率将达到40%,5G资料将占所有线上流量的一半以上。
精密农业需求不断成长
随着农民寻求资料主导的方法来增加产量和充分利用资源,精密农业正变得越来越受欢迎,并正在推动农场机器对机器通讯(M2M) 市场的发展。 M2M 技术透过即时监测作物健康、土壤状况和用水情况,支援准确的决策和有效的农场管理。该技术有助于减少废弃物、降低成本并最大限度地提高产量,所有这些对于满足不断增长的粮食需求至关重要。采用支持 M2M 的精密农业系统也有助于减少农药使用等环境效益。
复杂性和对技术知识的需求
由于其复杂性和技术要求,农业机器对机器通讯(M2M)系统的实施是一个主要障碍,特别是对于不懂技术的农民来说。如果没有专门的培训,维护 M2M 系统中的网路感测器、资料分析和即时监控工具是很困难的。他们通常在系统设定、维护和资料解释方面需要更多帮助。技术要求和学习曲线可能会阻碍小型农场投资 M2M 技术,从而阻碍整体市场扩张。
物联网和感测器技术的兴起
物联网和感测器技术的发展使农场运作变得更加智慧、高效,这是推动农业机对机通讯(M2M) 市场的关键因素。先进的感测器收集有关动物、作物、天气和土壤湿度的即时资料,并由 M2M 系统使用来实现程式自动化并最大限度地提高资源利用率。这种连接减少了对劳动力的需求,消除了浪费,并提高了产量预测。由于物联网的不断改进,农民获得了更准确的见解,M2M 解决方案变得更加广泛、高效且对现代农业至关重要。
缺乏标准化
农业 M2M 市场缺乏标准化,特别是在资料整合和设备相容性方面出现了重大困难。每个製造商都使用不同的通讯协定,因此很难让多个供应商的设备完美地协同工作。这种分段可能会使系统设定变得困难、增加成本并导致效率低下,因为可能需要额外的中间件或客製化解决方案来实现相容性。缺乏标准化框架限制了联合、资料主导农业的潜力,并阻碍了 M2M 技术在农业中的普遍使用。
COVID-19 的影响
COVID-19 大流行减缓了新技术的采用并扰乱了供应链,对农业机对机通讯(M2M) 业务产生了重大影响。由于人员短缺和出行限制,实施对于提高效率和精密农业至关重要的 M2M 解决方案对于许多农业经营者来说一直很困难。但危机使得农业数位转型的需求更加迫切,促使农民探索自动化和远端监控技术。随着该行业适应新的营运现实,这一变化预计将推动 M2M 行业的长期成长。
预计硬体领域将在预测期内成为最大的领域
对精密农业的需求不断增长,农民能够透过即时资料分析来优化作物产量和资源利用,预计将推动硬体领域的发展。劳动成本的上升正在推动自动化技术的采用,以减少对体力劳动的依赖。此外,感测器技术和连接解决方案的进步提高了工作效率并促进远端监控。政府推动智慧农业实践的努力进一步推动了这一成长,使 M2M 解决方案成为现代农业实践不可或缺的一部分。
精密农业领域预计在预测期内复合年增长率最高
由于感测器技术的发展提供了有关环境变量、作物健康和土壤条件的最新信息,预计精密农业领域在预测期内将实现最高的复合年增长率。人工智慧和机器学习的结合进一步支持资料主导的决策,以实现快速的作物管理行动。此外,全球粮食需求不断增长和永续性问题也推动了精密农业技术的使用,以支持高效的农业运作。
由于人口迅速增长、粮食需求增加以及对环境友善农业方法的认识不断提高,预计亚太地区将在预测期内占据最大的市场占有率。随着该地区各国政府推动旨在提高生产和资源效率的智慧和精密农业倡议,M2M 的采用正在加速。此外,物联网和通讯基础设施的发展使得农业各个方面的即时监控成为可能。
由于技术发展、面对营运成本上升而需要有效的资源管理以及对精密农业的强劲需求,预计北美在预测期内的复合年增长率最高。该地区强大的通讯基础设施促进了 M2M 解决方案的广泛使用,以实现资料主导的决策和即时监控。 M2M 投资也得到支持节水和永续农业的政府计画和奖励的支持。大型农业技术企业的存在和人手不足的加剧进一步加速了北美农业自动化的采用。
According to Stratistics MRC, the Global Agriculture Machine to Machine (M2M) Market is accounted for $3.84 billion in 2024 and is expected to reach $6.83 billion by 2030 growing at a CAGR of 10.07% during the forecast period. Enabling automated data interchange between agricultural machinery, devices, and management systems without the need for human interaction is the target of the agriculture machine-to-machine (M2M) market. Through real-time monitoring of crop health, soil conditions, irrigation, and animal management, M2M technology in agriculture increases production by leveraging IoT sensors, wireless connectivity, and data analytics.
According to a three-year plan jointly released by ten government entities in July 2021, China plans to develop 560 million 5G mobile customers by the end of 2023 and increase the penetration rate of fast wireless technology among large industrial firms to 35%. By the end of 2023, China hopes to have reached a 40 percent penetration rate of 5G among individual consumers, with 5G data making up more than half of all online traffic.
Growing demand for precision agriculture
Precision farming is becoming more and more popular, which is driving the agriculture machine-to-machine (M2M) market as farmers look for data-driven methods to increase output and maximize resource utilization. M2M technology supports accurate decision-making and effective farm management by enabling real-time monitoring of crop health, soil conditions, and water usage. This technology aids in waste reduction, cost reduction, and yield maximization-all of which are essential for satisfying the growing demand for food. The adoption of M2M-enabled precision agriculture systems is also encouraged by environmental advantages, such as reduced pesticide use.
Complexity and technical knowledge requirement
Adoption of Agriculture Machine-to-Machine (M2M) systems is severely hampered by their complexity and technical requirements, particularly for farmers with limited familiarity with technology. Without specialized training, maintaining networked sensors, data analytics, and real-time monitoring tools can be difficult in M2M systems. Higher operating expenses result from this complexity, which frequently calls for more assistance with system setup, maintenance, and data interpretation. The technological requirements and learning curve may discourage smaller farms from investing in M2M technology, which would impede the expansion of the market as a whole.
Rise in IoT and sensor technology
Smarter, more effective farm operations are made possible by the growth of IoT and sensor technologies, which is a key factor driving the agriculture machine-to-machine (M2M) market. Real-time data on animals, crops, weather, and soil moisture is collected by sophisticated sensors and used by M2M systems to automate procedures and maximize resource utilization. This connection lowers the need for labour, cuts down on waste, and improves yield forecasts. Farmers are gaining more accurate insights as a result of continuous IoT improvements, which make M2M solutions more widely available, efficient, and crucial to contemporary agriculture.
Lack of standardization
Significant difficulties arise from the agriculture machine-to-machine (M2M) market's lack of standardization, especially when it comes to data integration and device compatibility. The employment of different communication protocols by different manufacturers makes it challenging for equipment from several suppliers to function together flawlessly. Due to the possibility of requiring additional middleware or customized solutions for compatibility, this fragmentation can make system setup more difficult, raise costs, and result in inefficiencies. The entire potential of linked, data-driven farming is limited in the absence of standardized frameworks, which impede the general use of M2M technology in agriculture.
Covid-19 Impact
The COVID-19 pandemic had a major impact on the agriculture machine-to-machine (M2M) business by delaying the adoption of new technology and upsetting supply networks. Adoption of M2M solutions, which are essential for efficiency and precision farming, was difficult for many agricultural businesses due to personnel shortages and movement constraints. But the crisis also made the need for digital transformation in agriculture more urgent, leading farmers to investigate automation and remote monitoring technology. As the industry adapts to the new operating realities, this change is anticipated to propel long-term growth in the M2M sector.
The hardware segment is expected to be the largest during the forecast period
The hardware segment is estimated to be the largest, due to increasing demand for precision agriculture enables farmers to optimize crop yields and resource use through real-time data analysis. Rising labour costs push the adoption of automation technologies, reducing dependency on manual labour. Additionally, advancements in sensor technology and connectivity solutions enhance operational efficiency and facilitate remote monitoring. Government initiatives promoting smart farming practices further support this growth, making M2M solutions essential for modern agricultural practices.
The precision farming segment is expected to have the highest CAGR during the forecast period
The precision farming segment is anticipated to witness the highest CAGR during the forecast period, due to the developments in sensor technology, which offer up-to-date information on environmental variables, crop health, and soil conditions. Data-driven decision-making is further supported by the combination of artificial intelligence and machine learning, which enables prompt crop management actions. Additionally, the use of precision farming techniques that support effective agricultural operations is pushed by growing global food demand and sustainability concerns.
Asia Pacific is expected to have the largest market share during the forecast period due to rapid population expansion, increased food demand, and growing consciousness of environmentally friendly agricultural methods. M2M adoption is accelerated by the region's governments' backing of smart farming and precision agricultural efforts aimed at increasing production and resource efficiency. Furthermore, real-time monitoring in a variety of agricultural contexts is made possible by developments in IoT and communication infrastructure.
North America is projected to witness the highest CAGR over the forecast period, owing to technological developments, the necessity for effective resource management in the face of growing operating expenses, and the strong demand for precision agriculture. The region's robust communication infrastructure facilitates the broad use of M2M solutions, allowing for data-driven decision-making and real-time monitoring. M2M investment is also encouraged by government programs and incentives that support water conservation and sustainable farming. The adoption of automation in North American agriculture is further fuelled by the existence of significant agricultural technology businesses and growing manpower shortages.
Key players in the market
Some of the key players profiled in the Agriculture Machine to Machine (M2M) Market include John Deere, Trimble Inc., AGCO Corporation, CNH Industrial, Yara International ASA, Kubota Corporation, Hexagon Agriculture, AG Leader Technology, Raven Industries, Digi International, Telit Communications, Orange Business Services, Vodafone Group Plc, Cisco Systems Inc., AT&T Inc., Siemens AG.
In October 2024, John Deere announced an expansion to its Agriculture & Turf training center and field site near Orlando, Florida. This investment advances the company's commitment to customer success through the support of John Deere's world-class dealer channel.
In January 2023, AGCO Autonomous Tractor introduced an autonomous tractor equipped with M2M technology for precision farming applications.
In March 2021, Trimble Ag Software Update launched a cloud-based platform update that enhances data analysis and visualization for precision agriculture.