글로벌 농업 로봇 시장은 2023년 135억 4천만 달러에서 2030년 620억 7천만 달러로 성장할 것으로 예상되며, 예측 기간 동안 연평균 성장률은 31.50%입니다.
농업 로봇은 농업 로봇 또는 애그봇이라고도 하며 농업 분야에서 혁신적인 기술 발전을 나타냅니다. 이러한 로봇은 농업 주기의 여러 단계에서 다양한 작업을 수행하도록 설계 및 배치되어 농업 관행의 효율성, 생산성 및 지속 가능성을 향상시키는 것을 목표로 합니다. 농업 로봇은 정밀 농업, 심기, 수확, 잡초 제거 및 작물 건강 모니터링과 같은 특정 목적을 위해 다양한 유형으로 분류할 수 있습니다. 센서, GPS 시스템 및 머신 러닝 알고리즘을 포함한 고급 기술이 장착된 이러한 로봇은 농부가 전통적으로 노동 집약적인 작업을 자동화하고 자원 활용을 최적화하며 데이터 기반 의사 결정을 내릴 수 있도록 합니다.
농업 로봇을 통해 가능한 정밀 농업은 목표 지향적이고 통제된 농업 관행을 가능하게 하여 환경 영향을 최소화하고 수확량을 극대화합니다. 자율 주행 트랙터와 드론에서 과일 따기용 로봇 팔에 이르기까지 농업 로봇은 노동력 부족, 증가하는 세계 식량 수요, 지속 가능한 농업 관행의 필요성과 같은 과제를 극복하는 데 기여합니다. 농업에 로봇 기술을 통합하는 것은 스마트 농업으로의 전환을 의미하며, 여기서 기술은 빠르게 진화하는 세상의 요구에 부응하기 위해 전통적인 농업 방법을 재편하고 현대화하는 데 중요한 역할을 합니다.
증가하는 세계 인구는 식량 수요를 증가시켜 농업 생산성을 높여야 했습니다. 농업 로봇은 다양한 농업 작업에 효율적이고 자동화된 솔루션을 제공하여 이러한 요구를 충족합니다. 정밀 농업은 농부가 자원 사용을 최적화하고 환경 영향을 최소화하려는 또 다른 원동력입니다. 고급 센서와 이미징 기술을 갖춘 농업 로봇은 정밀 농업에 기여하여 타겟팅되고 데이터 중심의 의사 결정을 가능하게 합니다.
환경 문제와 지속 가능한 농업 관행에 대한 필요성도 농업 로봇 도입을 촉진합니다. 이러한 로봇은 농부가 친환경적이고 정확한 농업 방법을 구현하여 살충제 사용을 줄이고 자원 활용을 최적화할 수 있도록 합니다. 보조금과 인센티브를 통해 농업에 첨단 기술을 통합하는 것을 지원하는 정부와 농업 조직은 시장을 더욱 촉진합니다.
농업 로봇은 다양한 농업 활동 전반에 걸쳐 자동화되고 효율적인 솔루션을 제공함으로써 이러한 수요를 충족하는 데 중요한 역할을 합니다. 게다가 농업 로봇 시장은 농업 부문의 노동 문제를 완화하는 데 매우 중요합니다. 전통적인 농업이 노동력 부족과 노동력 고령화에 직면함에 따라 로봇은 심기, 수확, 잡초 제거와 같은 노동 집약적 작업을 수행하는 실행 가능한 솔루션을 제공합니다.
농업 로봇의 도입은 정밀 농업의 발전에 필수적입니다. 센서, GPS, 인공 지능과 같은 첨단 기술을 활용하여 이러한 로봇은 정확하고 데이터 중심의 의사 결정을 가능하게 합니다. 이들은 최적화된 자원 활용, 환경 영향 감소, 작물 수확량 증가에 기여합니다. 정밀 농업에 대한 이러한 강조는 지속 가능한 농업 관행의 더 광범위한 목표와 일치하여 농업 로봇이 환경 관리를 촉진하는 데 중요한 역할을 하게 합니다.
기인하다 | 세부 |
학습 기간 | 2020-2030 |
기준년도 | 2022 |
추정 연도 | 2023 |
예상 연도 | 2023-2030 |
역사적 기간 | 2019-2021 |
단위 | 가치(10억 달러) 볼륨(천 단위) |
분할 | 유형 , 농업 환경 , 최종 사용 응용 프로그램 및 지역별 |
유형별 로 |
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최종 사용 응용 프로그램별 |
|
농업 환경별 |
|
지역별로 |
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The global agriculture robots market is anticipated to grow from USD 13.54 Billion in 2023 to USD 62.07 Billion by 2030, at a CAGR of 31.50 % during the forecast period.
North America accounted for the largest market in the agriculture robots market. North America accounted for 40 % market share of the global market value.
Deere & Company, Trimble Inc., AGCO Corporation, AgJunction Inc., Topcon Positioning Systems, CNH Industrial, Kubota Corporation, Harvest Automation, Autonomous Solutions Inc., Clearpath Robotics, Naio Technologies, Vision Robotics Corporation, Yamaha Motor Co., Ltd., CLAAS KGaA mbH, 3D Robotics, GEA Group, Blue River Technology, PrecisionHawk, Kinze Manufacturing, Autonomous Tractor Corporation.
Key trends in the agriculture robots market include the increasing integration of artificial intelligence and machine learning for advanced decision-making, the rise of swarm robotics for collaborative and efficient farming tasks, and the growing adoption of drones equipped with advanced sensors for precise crop monitoring and management.
The global Agriculture Robots market is divided into three segments, type, End-use Application, Farming Environment and region. By type the market is divided Driverless Tractors, Unmanned Aerial Vehicles (UAVs), Milking Robots, Automated Harvesting Robots, Others. By End-use Application the market is classified into Field Farming, Harvest Management, Livestock Management, Other Applications. By Farming Environment, the market is classified into Outdoor, Indoor.
[caption id="attachment_40789" align="aligncenter" width="550"]Based on type, driverless tractors segment dominating in the agriculture robots market. The driverless tractors segment stands out as a dominant force in the agriculture robots market, spearheading the transformation of traditional farming practices. These advanced autonomous vehicles represent a significant technological leap in the agriculture sector, offering a range of benefits that contribute to their dominance. Driverless tractors leverage cutting-edge technologies such as GPS, sensors, and artificial intelligence to operate autonomously in the field.
The key factors driving the dominance of driverless tractors is their ability to address the pressing issue of labor shortages in agriculture. As the availability of skilled labor for farming tasks becomes increasingly scarce, autonomous tractors provide a reliable solution for performing essential activities such as plowing, seeding, and harvesting without the need for human intervention. Precision agriculture is another crucial driver for the prominence of driverless tractors. These machines can navigate fields with exceptional accuracy, optimizing the use of resources such as water, fertilizers, and pesticides. The precise application of these resources contributes to increased efficiency, reduced environmental impact, and improved overall crop yield.
The efficiency and time-saving capabilities of driverless tractors are significant contributors to their dominance. With the ability to work continuously and navigate fields efficiently, these autonomous machines enhance operational productivity and allow farmers to cover larger areas in shorter timeframes. This efficiency is particularly valuable during critical farming seasons, such as planting and harvesting, where timing is crucial.
[caption id="attachment_40790" align="aligncenter" width="544"]Based on farming environment, outdoor segment dominating in the agriculture robots market. The outdoor segment asserts its dominance in the agriculture robots market, representing a significant advancement in the automation of farming practices within open-field environments. This dominance can be attributed to the versatile and expansive applications of robots in outdoor farming scenarios. Agricultural tasks such as planting, harvesting, and weeding are traditionally labor-intensive and time-consuming, and the integration of robots in outdoor environments addresses these challenges effectively. The outdoor segment's dominance is particularly evident in large-scale farming operations where vast fields are cultivated. Outdoor agriculture robots, equipped with advanced sensors, GPS technology, and robust navigation systems, demonstrate exceptional adaptability to varying terrains and weather conditions. They can navigate through expansive fields autonomously, optimizing operational efficiency and overcoming the limitations of human labor.
Precision agriculture practices, essential for maximizing crop yield and minimizing resource usage, further contribute to the outdoor segment's dominance. Robots operating in outdoor environments can precisely apply fertilizers, pesticides, and water, ensuring targeted and efficient use of resources. This capability aligns with the growing emphasis on sustainability and environmental stewardship in modern agriculture. The outdoor segment's dominance is also propelled by the need to address labor shortages in vast agricultural landscapes. By automating tasks that traditionally require substantial human labor, outdoor agriculture robots provide a solution to the challenges associated with workforce availability, especially during peak farming seasons.
[caption id="attachment_40791" align="aligncenter" width="593"]Precise application of fertilizers, pesticides, and water can increase efficiency and reduce environmental impact is a key driver for the agriculture robots market.
The precise application of fertilizers, pesticides, and water facilitated by agriculture robots stands out as a pivotal driver for the market, offering multifaceted benefits that enhance efficiency while mitigating environmental impact. In traditional farming, blanket applications of these inputs often lead to overuse, resulting in wastage, environmental pollution, and increased production costs. Agriculture robots equipped with advanced sensing technologies, including GPS, sensors, and data analytics, enable farmers to implement precision agriculture practices.
By precisely targeting and delivering fertilizers, pesticides, and water only where and when needed, agriculture robots optimize resource utilization. This targeted approach ensures that crops receive the necessary nutrients and protection while minimizing excess usage, ultimately contributing to improved crop yield and quality. The reduction in resource wastage aligns with sustainability goals, as it minimizes environmental pollution and conserves vital resources. Moreover, the efficiency gained through the precise application of inputs results in cost savings for farmers. Reduced input costs and increased operational efficiency contribute to the overall economic viability of farming operations. This economic benefit is a crucial aspect, especially for small-scale and large-scale farmers alike, driving the adoption of agriculture robots as a strategic investment for long-term sustainability.
RestraintTechnical complexity and operational challenges can hinder the agriculture robots market during the forecast period.
The agriculture robots market, while offering transformative solutions for the farming industry, faces challenges associated with technical complexity and operational hurdles that could potentially impede its growth during the forecast period. The intricate nature of robotics technology, incorporating elements such as artificial intelligence, sensors, and advanced machinery, introduces technical complexities in the design, manufacturing, and integration of agriculture robots. Developing robots capable of seamlessly navigating diverse terrains, performing intricate tasks, and adapting to various environmental conditions poses substantial engineering challenges.
Operational challenges further compound the hindrances faced by the agriculture robots market. Integrating these sophisticated robotic systems into existing farming practices requires a comprehensive understanding of diverse agricultural environments and practices. Farmers may encounter difficulties in the installation, calibration, and maintenance of these advanced technologies, highlighting the need for specialized technical expertise. The lack of standardized protocols for interoperability across different robotic systems exacerbates operational complexities, as seamless integration becomes a critical factor for widespread adoption.
Moreover, factors such as weather variability, uneven terrains, and unpredictable crop conditions pose operational challenges for agriculture robots. Adapting robotic solutions to dynamic and unpredictable scenarios in real-time necessitates advanced algorithms and sensing capabilities, adding layers of complexity to their operational functionality.
OpportunitiesDevelopment of cost-effective solutions is projected to boost the demand for agriculture robots market.
The development of cost-effective solutions emerges as a driving force expected to significantly boost the demand for the agriculture robots market. Historically, one of the challenges hindering the widespread adoption of agriculture robots has been the associated high costs, which may act as a barrier for farmers, particularly those with smaller-scale operations. However, as technological advancements continue and the industry matures, there is a concerted effort to develop more affordable and accessible robotic solutions tailored to meet the diverse needs of farmers.
The projected boost in demand stems from the recognition that cost-effectiveness is a pivotal factor influencing the adoption of agricultural robotic technology. Innovations aimed at reducing the overall cost of robotic systems include advancements in manufacturing processes, materials, and components. These developments contribute to more economical production without compromising the performance and capabilities of the robots.
Furthermore, economies of scale, driven by increasing adoption and production volumes, are expected to play a crucial role in driving down costs. As the demand for agriculture robots rises, manufacturers can benefit from higher production efficiency, reduced per-unit costs, and increased affordability for end-users. This, in turn, enhances the feasibility of adoption across a broader spectrum of farms, regardless of their scale or financial capacity.
Agriculture robots have been increasingly incorporating artificial intelligence (AI) and machine learning (ML) algorithms. These technologies enhance the robots' ability to make real-time decisions, analyze data for precision agriculture, and adapt to changing environmental conditions.
The use of autonomous vehicles, particularly driverless tractors, has been a notable trend. These vehicles are equipped with advanced navigation systems, allowing them to operate autonomously in the field. This trend aligns with the goal of reducing labor dependency and increasing operational efficiency.
Drones equipped with imaging and sensing technologies have gained traction for monitoring crop health and optimizing field management. They provide farmers with aerial views of their fields, allowing for quick and efficient analysis of crop conditions.
The concept of swarm robotics, where multiple small robots work collaboratively to perform tasks, has gained attention. This approach allows for more flexibility and efficiency in handling various agricultural activities.
Agriculture robots are increasingly contributing to data-driven farming practices. The collection and analysis of data related to soil health, weather conditions, and crop status enable farmers to make informed decisions for better crop management.
With the aim of reducing the reliance on herbicides, there has been a trend towards the development of robots designed for targeted weed control. These robots can identify and eliminate weeds with precision, minimizing the impact on the surrounding crops.
The competitive landscape of the agriculture robots market was dynamic, with several prominent companies competing to provide innovative and advanced agriculture robots solutions.
28, 2024: John Deere (NYSE: DE) introduced the new S7 Series of combines, a family of harvesters designed for efficiency, harvest quality and operator friendliness. Harvest time is no time to let up in the chase for efficiency. The new S7 Series of combines helps farmers and custom operators perform at the maximum to make the most of the season's efforts.
12, 2024: Trimble (NASDAQ: TRMB) announced the integration of the Trimble Applanix POSPac CloudⓇ post-processed kinematic (PPK) GNSS positioning service, featuring CenterPointⓇ RTX, with the drone mapping and data collection capabilities of DroneDeploy’s reality capture platform. With the Trimble cloud positioning service, DroneDeploy customers can expect centimeter-level accuracy and an automated, streamlined workflow when performing reality capture with drones.
North America accounted for the largest market in the agriculture robots market. North America accounted for 40 % market share of the global market value. North America boasts extensive and large-scale farming operations, particularly in the United States and Canada. The vast expanses of farmland necessitate innovative solutions to address challenges such as labor shortages and operational efficiency, making agriculture robots a strategic choice for modernizing farming practices. Moreover, the region has embraced a culture of technological innovation, positioning itself at the forefront of research and development in the agriculture sector. This commitment to technological advancement has led North American farmers and agribusinesses to readily adopt robotics and automation technologies to optimize various aspects of crop management, from planting and harvesting to monitoring and data analysis.
The supportive regulatory environment in North America has also played a pivotal role in fostering the growth of the agriculture robots market. Clear and accommodating regulations facilitate the deployment of robotic solutions in agriculture, providing a conducive atmosphere for companies to invest in and farmers to adopt cutting-edge technologies. Precision agriculture practices have gained significant traction in North America, aligning seamlessly with the capabilities of agriculture robots. These robots contribute to precision farming by enabling targeted and data-driven decision-making. The region's emphasis on optimizing the use of resources, minimizing environmental impact, and enhancing overall crop yield aligns well with the capabilities of agriculture robots.
[caption id="attachment_40793" align="aligncenter" width="503"]In the agriculture robots market, Europe has emerged as a significant and dynamic region characterized by a blend of traditional farming practices and a proactive adoption of cutting-edge agricultural technologies. The region's agriculture robots market is driven by several key factors. European farmers, particularly in countries such as Germany, France, and the Netherlands, have embraced precision agriculture, emphasizing data-driven decision-making and resource optimization. This has led to a growing demand for agriculture robots that can enhance efficiency in tasks such as planting, weeding, and harvesting.
The agriculture robots market in the Asia-Pacific region is characterized by a diverse agricultural landscape, ranging from smallholder farms to extensive plantations. Countries such as Japan, China, and Australia have been at the forefront of adopting robotics and automation in agriculture. In Japan, for example, the aging farming population and labor shortages have accelerated the adoption of robotics for tasks like planting and harvesting. China, with its vast agricultural sector, is witnessing increased investments in agricultural technology, including robots, to enhance productivity and address labor challenges. The Asia-Pacific region's agriculture robots market is also influenced by the adoption of smart farming practices and the integration of technologies like AI and IoT in agricultural operations.
Exactitude consultancy provides import and export data for the recent years. It also offers insights on production and consumption volume of the product. Understanding the import and export data is pivotal for any player in the agriculture robots market. This knowledge equips businesses with strategic advantages, such as:
Trade volume trends: our report dissects import and export data spanning the last five years to reveal crucial trends and growth patterns within the global agriculture robots This data-driven exploration empowers readers with a deep understanding of the market's trajectory.
Market players: gain insights into the leading players driving the agriculture robots From established giants to emerging contenders, our analysis highlights the key contributors to the import and export landscape.
Geographical dynamics: delve into the geographical distribution of trade activities. Uncover which regions dominate exports and which ones hold the reins on imports, painting a comprehensive picture of the industry's global footprint.
Product breakdown: by segmenting data based on agriculture robots Product Types –– we provide a granular view of trade preferences and shifts, enabling businesses to align strategies with the evolving technological landscape.
Import and export data is crucial in reports as it offers insights into global market trends, identifies emerging opportunities, and informs supply chain management. By analyzing trade flows, businesses can make informed decisions, manage risks, and tailor strategies to changing demand. This data aids government in policy formulation and trade negotiations, while investors use it to assess market potential. Moreover, import and export data contributes to economic indicators, influences product innovation, and promotes transparency in international trade, making it an essential component for comprehensive and informed analyses.
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