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市场调查报告书
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1448025

自主农场设备市场 - 2023-2030

Autonomous Farm Equipment Market - 2023-2030

出版日期: | 出版商: DataM Intelligence | 英文 201 Pages | 商品交期: 最快1-2个工作天内

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简介目录

概述

2022年,全球自主农业设备市场规模达9.002亿美元,预计2030年将达到29.9218亿美元,2023-2030年预测期间CAGR为16.2%。

感测器技术、人工智慧、机器学习和机器人技术的不断进步正在推动更先进、更有效率的自主农场设备的开发。这些技术可以提高农业任务的精确度、决策和自动化,从而提高生产力并降低劳动成本。

2022 年 10 月,自主采摘领域的先驱 Nanovel Ltd. 推出了一款自主树果采收机。借助人工智慧、电脑视觉、机器学习和机器人专利技术,Nanovel 开发了一种自主树果收割机,使该过程比手动收割更加高效、可靠且经济实惠。机器人能够抓取和修剪的水果品种有柑橘、核果、酪梨和芒果等。

拖拉机由于在农业活动中广泛应用,占据了一半以上的市场。同样,北美在自主农业设备市场上占据主导地位,占据了最大的市场份额,因为该地区一直处于采用先进农业设备的最前沿。

动力学

越来越多采用先进的农业实践

先进的农业实践强调精准农业技术,以优化资源利用并最大限度地提高作物产量。自主农场设备配备感测器、GPS 技术和即时资料分析,可实现精确种植、施肥、喷洒和收穫,从而提高效率和生产力。自主农场设备透过及时、准确的干预措施(例如有针对性地施用化学肥料、农药和水等投入品)促进更好的作物管理。

2023 年 3 月,无人机製造商 XAG 与 FarmInno 合作,在泰国推出全自动农业无人机。极飞的自主农业无人机由人工智慧(AI)驱动,将用于定向喷洒和施肥。这将有助于泰国农民减少劳动力短缺并节省时间和精力。

农业劳动力短缺

农业部门的劳动力短缺,特别是在人口老化和城市移民趋势的地区,给寻找和留住熟练农场工人带来了挑战。根据世界银行的数据,2020 年农业就业(占总就业的百分比)为 27%,而 2021 年将下降至 26%。此外,根据 2021 年《农场杂誌》劳动力调查,大多数农场雇主 (87%) 和农产品零售商 (91%) 都难以填补职缺。

因此,农民越来越多地转向自主农场设备,以自动化重复性和劳动密集型任务,如种植、除草、喷洒和收割。透过减少对体力劳动的依赖,自主农场设备有助于解决劳动力短缺带来的挑战,确保基本的农场作业能够有效率且有效地进行。

高投资

采用自主农场设备的主要限制之一是所需的高额初始投资。购买和实施自主机械(包括先进感测器、GPS 技术、机器人和资料管理系统)的成本可能很高。对于许多农民,尤其是中小型企业来说,前期资本投资可能会对采用产生重大障碍。

自主农业设备市场的另一个挑战是不同自主系统和设备之间缺乏相容性和互通性。如果自主技术与他们现有的机械不相容或需要与其他农场管理系统进行复杂的集成,农民可能会犹豫是否要投资自主技术。

目录

目录

第 1 章:方法与范围

  • 研究方法论
  • 报告的研究目的和范围

第 2 章:定义与概述

第 3 章:执行摘要

  • 按类型分類的片段
  • 按容量分類的片段
  • 按操作的片段
  • 技术片段
  • 按应用程式片段
  • 按地区分類的片段

第 4 章:动力学

  • 影响因素
    • 司机
      • 越来越多采用先进的农业实践
      • 农业劳动力短缺
    • 限制
      • 高投资
    • 机会
    • 影响分析

第 5 章:产业分析

  • 波特五力分析
  • 供应链分析
  • 定价分析
  • 监管分析
  • 俄乌战争影响分析
  • DMI 意见

第 6 章:COVID-19 分析

  • COVID-19 分析
    • 新冠疫情爆发前的情景
    • 新冠疫情期间的情景
    • 新冠疫情后的情景
  • COVID-19 期间的定价动态
  • 供需谱
  • 疫情期间政府与市场相关的倡议
  • 製造商策略倡议
  • 结论

第 7 章:按类型

  • 联结机
  • 收割机
  • 无人机
  • 灌溉设备
  • 畜牧设备
  • 其他的

第 8 章:按容量

  • 低于 30 匹马力
  • 至 100 匹马力
  • 100HP以上

第 9 章:透过操作

  • 完全自主
  • 半自主

第 10 章:按技术

  • 全球定位系统
  • 物联网
  • 其他的

第 11 章:按应用

  • 农业
  • 园艺
  • 畜牧业
  • 其他的

第 12 章:按地区

  • 北美洲
    • 我们
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 法国
    • 义大利
    • 俄罗斯
    • 欧洲其他地区
  • 南美洲
    • 巴西
    • 阿根廷
    • 南美洲其他地区
  • 亚太
    • 中国
    • 印度
    • 日本
    • 澳洲
    • 亚太其他地区
  • 中东和非洲

第13章:竞争格局

  • 竞争场景
  • 市场定位/份额分析
  • 併购分析

第 14 章:公司简介

  • CNH Industrial NV
    • 公司简介
    • 产品组合和描述
    • 财务概览
    • 主要进展
  • Mahindra & Mahindra Ltd.
  • Deere & Company
  • YANMAR HOLDINGS CO., LTD.
  • Kubota Corporation
  • Naio Technologies
  • Bobat Company
  • Agrobot
  • AGCO Corporation.
  • Certhon

第 15 章:附录

简介目录
Product Code: AG694

Overview

Global Autonomous Farm Equipment Market reached US$ 900.2 million in 2022 and is expected to reach US$ 2,992.18 million by 2030, growing with a CAGR of 16.2% during the forecast period 2023-2030.

Continuous advancements in sensor technology, artificial intelligence, machine learning, and robotics are driving the development of more sophisticated and efficient autonomous farm equipment. These technologies enable better precision, decision-making, and automation in agricultural tasks, leading to increased productivity and reduced labor costs.

In October 2022, Nanovel Ltd. a pioneer in the field of autonomous harvesting, introduced an autonomous tree fruit harvester. With the help of AI, computer vision, machine learning, and patented robotics technologies, Nanovel has developed an autonomous tree fruit harvester that makes the process more efficient, reliable, and affordable than manual harvesting. Citrus, stone fruit, avocado, and mango are among the many fruit varieties that the robot is capable of gripping and trimming.

Tractors account for over half of the market share due to their widespread application in agricultural activities. Similarly, North America dominates the autonomous farm equipment market, capturing the largest market share as the region has been at the forefront of adopting advanced agricultural equipment.

Dynamics

Growing Adoption of Advanced Farming Practices

Advanced farming practices emphasize precision agriculture techniques to optimize resource use and maximize crop yields. Autonomous farm equipment, equipped with sensors, GPS technology, and real-time data analytics, enables precise planting, fertilizing, spraying, and harvesting, leading to improved efficiency and productivity. Autonomous farm equipment facilitates better crop management through timely and accurate interventions, such as targeted application of inputs like fertilizers, pesticides, and water.

In March 2023, Drone manufacturer XAG partnered with FarmInno to introduce fully autonomous agricultural drones in Thailand. XAG's autonomous agricultural drones are powered by artificial intelligence (AI) and will be utilized for targeted spraying and fertilizer distribution. This will assist farmers in Thailand reduce workforce shortages and save time and energy.

Labor Shortage in Agriculture

Labor shortages in the agriculture sector, particularly in regions with aging populations and urban migration trends, have led to challenges in sourcing and retaining skilled farm workers. According to the World Bank Employment in agriculture (% of total employment) was 27% in 2020 while in 2021 it is declined to 26%. Also according to the Farm Journal Labour Survey of 2021, the majority of farm employers (87%) and agricultural retailers (91%) are having trouble filling jobs.

As a result, farmers are increasingly turning to autonomous farm equipment to automate repetitive and labor-intensive tasks such as planting, weeding, spraying, and harvesting. By reducing the reliance on manual labor, autonomous farm equipment helps address the challenges posed by labor shortages, ensuring that essential farm operations can be carried out efficiently and effectively.

High Investment

One of the primary restraints for the adoption of autonomous farm equipment is the high initial investment required. The cost of purchasing and implementing autonomous machinery, including advanced sensors, GPS technology, robotics, and data management systems, can be substantial. For many farmers, especially small and medium-sized operations, the upfront capital investment may pose a significant barrier to adoption.

Another challenge for the autonomous farm equipment market is the lack of compatibility and interoperability between different autonomous systems and equipment. Farmers may hesitate to invest in autonomous technology if it is not compatible with their existing machinery or if it requires complex integration with other farm management systems.

Segment Analysis

The global autonomous farm equipment market is segmented based on type, capacity, operation, technology, application and region.

Autonomous Tractors' Versatility and Widespread Adoption in Agricultural Operations.

Autonomous tractors have emerged as a dominant segment in the autonomous farm equipment market. Autonomous tractors enable farmers to streamline and automate various agricultural tasks, such as planting, plowing, seeding, and harvesting. By eliminating the need for manual operation, autonomous tractors can work continuously for extended periods, increasing overall farm efficiency and productivity.

In January 2021, Monarch Tractor, a U.S.-based company launched a fully electric autonomous tractor. With Monarch's interactive automation features, such as the Gesture and Shadow modes, a worker can utilize the tractor to follow them around the job site while they do pre-programmed tasks without the need for a driver. The company claims to have the world's first driver-optioned, fully electric smart tractor integrated on a single platform.

Geographical Penetration

Technological Advancement in North America

North America, particularly the United States and Canada, is known for its strong technological innovation in agriculture. The region has been at the forefront of developing and implementing autonomous technologies in farming equipment. Governments in North America have been supportive of innovation in agriculture and have often provided funding and incentives for the adoption of advanced technologies such as autonomous farm equipment

In November 2023, researchers at Washington State University (WSU) received a $1.2 million National Science Foundation award with the goal of boosting the efficiency of robotics used in automated apple harvesting. Researchers are developing a simple, low-cost robot system with a soft body and a cloth arm. The idea behind the design is to allow the robot to react rapidly while also carefully harvesting apples without putting the trees at risk.

COVID-19 Impact Analysis

The pandemic disrupted global supply chains, affecting the production and distribution of autonomous farm equipment components and systems. Delays in manufacturing and shipping could slow down the adoption of these technologies. Economic uncertainties caused by the pandemic may have constrained the budgets of farmers and agricultural businesses, making investments in autonomous farm equipment less feasible in the short term.

However, the pandemic highlighted the importance of automation and remote operations in various industries, including agriculture. As a result, there has been an increased interest in autonomous farm equipment as a way to minimize the need for human labor and ensure operational continuity during health crises. Also, the pandemic underscored the importance of food security, leading to a renewed emphasis on improving agricultural efficiency and resilience. Autonomous farm equipment can contribute to this goal by optimizing farm operations and enhancing yields.

Russia-Ukraine War Impact Analysis

The conflict disrupted the supply chain, it led to delays or shortages in the production and distribution of autonomous farm equipment components. This disruption affected the availability of key technologies and components necessary for the operation of autonomous farm machinery. The Russia-Ukraine conflict directly affected agricultural production in the region due to disruptions in farming operations, displacement of farmers, and damage to infrastructure. As a result, there is a decreased demand for autonomous farm equipment in affected areas.

By Type

  • By Type
  • Tractors
  • Harvesters
  • UAV
  • Irrigation Equipment
  • Livestock Equipment
  • Others

By Capacity

  • Less than 30 HP
  • 31 to 100 HP
  • Above 100 HP

By Operation

  • Fully Autonomous
  • Semi-Autonomous

By Technology

  • GPS
  • IOT
  • Others

By Application

  • Agriculture
  • Horticulture
  • Animal Husbandry
  • Others

By Region

  • North America
    • U.S.
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • France
    • Italy
    • Russia
    • Rest of Europe
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Asia-Pacific
    • China
    • India
    • Japan
    • Australia
    • Rest of Asia-Pacific
  • Middle East and Africa

Key Developments

  • In April 2022, In January 2022, John Deere unveiled a completely autonomous tractor that is prepared for mass production at CES 2022. The device integrates new cutting-edge technology, a GPS guidance system, a TruSet-enabled chisel plow, and a Deere 8R tractor.
  • In February 2024, Prominent autonomous farming technology developer Agtonomy introduced its innovative smart farm task environment. With the integration of sophisticated farm equipment and self-driving tractors, this innovative breakthrough holds forth the promise of enhanced agricultural productivity and sustainability.
  • In March 2021, Sitia introduced a hybrid autonomous robot for agriculture. Trektor is a highly configurable robot that can be used to maintain market gardens, tree crops, and vineyards with varying row widths and lengths by adjusting its track, height, and wheelbase. The robot's accuracy is within centimeters thanks to GNSS RTK vision, and extra safety measures including sensors and bumpers are in place.
  • In April 2023, Hylio, a developer of cutting-edge drone technology to deliver the ultimate performance in agricultural crop spraying introduced a fully autonomous drone designed for large-scale agricultural operations. With a tank capacity of 8.0 gallons, the AG-130 can apply up to 50 acres per hour.

Competitive Landscape

The major global players in the market include CNH Industrial N.V., Mahindra & Mahindra Ltd., Deere & Company, YANMAR HOLDINGS CO., LTD., Kubota Corporation, Naio Technologies, Bobat Company, Agrobot, AGCO Corporation, Certhon

Why Purchase the Report?

  • To visualize the global autonomous farm equipment market segmentation based on type, capacity, operation, technology, application and region, as well as understand key commercial assets and players.
  • Identify commercial opportunities by analyzing trends and co-development.
  • Excel data sheet with numerous data points of Autonomous Farm Equipment market-level with all segments.
  • PDF report consists of a comprehensive analysis after exhaustive qualitative interviews and an in-depth study.
  • Product mapping available as excel consisting of key products of all the major players.

The global autonomous farm equipment market report would provide approximately 78 tables, 77 figures and 201 Pages.

Target Audience 2023

  • Manufacturers/ Buyers
  • Industry Investors/Investment Bankers
  • Research Professionals
  • Emerging Companies

Table of Contents

Table of Contents

1.Methodology and Scope

  • 1.1.Research Methodology
  • 1.2.Research Objective and Scope of the Report

2.Definition and Overview

3.Executive Summary

  • 3.1.Snippet by Type
  • 3.2.Snippet by Capacity
  • 3.3.Snippet by Operation
  • 3.4.Snippet by Technology
  • 3.5.Snippet by Application
  • 3.6.Snippet by Region

4.Dynamics

  • 4.1.Impacting Factors
    • 4.1.1.Drivers
      • 4.1.1.1.Growing Adoption of Advanced Farming Practices
      • 4.1.1.2.Labor Shortage in Agriculture
    • 4.1.2.Restraints
      • 4.1.2.1.High Investment
    • 4.1.3.Opportunity
    • 4.1.4.Impact Analysis

5.Industry Analysis

  • 5.1.Porter's Five Force Analysis
  • 5.2.Supply Chain Analysis
  • 5.3.Pricing Analysis
  • 5.4.Regulatory Analysis
  • 5.5.Russia-Ukraine War Impact Analysis
  • 5.6.DMI Opinion

6.COVID-19 Analysis

  • 6.1.Analysis of COVID-19
    • 6.1.1.Scenario Before COVID
    • 6.1.2.Scenario During COVID
    • 6.1.3.Scenario Post COVID
  • 6.2.Pricing Dynamics Amid COVID-19
  • 6.3.Demand-Supply Spectrum
  • 6.4.Government Initiatives Related to the Market During Pandemic
  • 6.5.Manufacturers Strategic Initiatives
  • 6.6.Conclusion

7.By Type

  • 7.1.Introduction
    • 7.1.1.Market Size Analysis and Y-o-Y Growth Analysis (%), By Type
    • 7.1.2.Market Attractiveness Index, By Type
  • 7.2.Tractors*
    • 7.2.1.Introduction
    • 7.2.2.Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 7.3.Harvesters
  • 7.4.UAV
  • 7.5.Irrigation Equipment
  • 7.6.Livestock Equipment
  • 7.7.Others

8.By Capacity

  • 8.1.Introduction
    • 8.1.1.Market Size Analysis and Y-o-Y Growth Analysis (%), By Capacity
    • 8.1.2.Market Attractiveness Index, By Capacity
  • 8.2.Less than 30 HP*
    • 8.2.1.Introduction
    • 8.2.2.Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 8.3.31 to 100 HP
  • 8.4.Above 100 HP

9.By Operation

  • 9.1.Introduction
    • 9.1.1.Market Size Analysis and Y-o-Y Growth Analysis (%), By Operation
    • 9.1.2.Market Attractiveness Index, By Operation
  • 9.2.Fully Autonomous*
    • 9.2.1.Introduction
    • 9.2.2.Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 9.3.Semi-Autonomous

10.By Technology

  • 10.1.Introduction
    • 10.1.1.Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
    • 10.1.2.Market Attractiveness Index, By Technology
  • 10.2.GPS*
    • 10.2.1.Introduction
    • 10.2.2.Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 10.3.IOT
  • 10.4.Others

11.By Application

  • 11.1.Introduction
    • 11.1.1.Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 11.1.2.Market Attractiveness Index, By Application
  • 11.2.Agriculture*
    • 11.2.1.Introduction
    • 11.2.2.Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 11.3.Horticulture
  • 11.4.Animal Husbandry
  • 11.5.Others

12.By Region

  • 12.1.Introduction
    • 12.1.1.Market Size Analysis and Y-o-Y Growth Analysis (%), By Region
    • 12.1.2.Market Attractiveness Index, By Region
  • 12.2.North America
    • 12.2.1.Introduction
    • 12.2.2.Key Region-Specific Dynamics
    • 12.2.3.Market Size Analysis and Y-o-Y Growth Analysis (%), By Type
    • 12.2.4.Market Size Analysis and Y-o-Y Growth Analysis (%), By Capacity
    • 12.2.5.Market Size Analysis and Y-o-Y Growth Analysis (%), By Operation
    • 12.2.6.Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
    • 12.2.7.Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 12.2.8.Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 12.2.8.1.U.S.
      • 12.2.8.2.Canada
      • 12.2.8.3.Mexico
  • 12.3.Europe
    • 12.3.1.Introduction
    • 12.3.2.Key Region-Specific Dynamics
    • 12.3.3.Market Size Analysis and Y-o-Y Growth Analysis (%), By Type
    • 12.3.4.Market Size Analysis and Y-o-Y Growth Analysis (%), By Capacity
    • 12.3.5.Market Size Analysis and Y-o-Y Growth Analysis (%), By Operation
    • 12.3.6.Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
    • 12.3.7.Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 12.3.8.Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 12.3.8.1.Germany
      • 12.3.8.2.UK
      • 12.3.8.3.France
      • 12.3.8.4.Italy
      • 12.3.8.5.Russia
      • 12.3.8.6.Rest of Europe
  • 12.4.South America
    • 12.4.1.Introduction
    • 12.4.2.Key Region-Specific Dynamics
    • 12.4.3.Market Size Analysis and Y-o-Y Growth Analysis (%), By Type
    • 12.4.4.Market Size Analysis and Y-o-Y Growth Analysis (%), By Capacity
    • 12.4.5.Market Size Analysis and Y-o-Y Growth Analysis (%), By Operation
    • 12.4.6.Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
    • 12.4.7.Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 12.4.8.Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 12.4.8.1.Brazil
      • 12.4.8.2.Argentina
      • 12.4.8.3.Rest of South America
  • 12.5.Asia-Pacific
    • 12.5.1.Introduction
    • 12.5.2.Key Region-Specific Dynamics
    • 12.5.3.Market Size Analysis and Y-o-Y Growth Analysis (%), By Type
    • 12.5.4.Market Size Analysis and Y-o-Y Growth Analysis (%), By Capacity
    • 12.5.5.Market Size Analysis and Y-o-Y Growth Analysis (%), By Operation
    • 12.5.6.Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
    • 12.5.7.Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 12.5.8.Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 12.5.8.1.China
      • 12.5.8.2.India
      • 12.5.8.3.Japan
      • 12.5.8.4.Australia
      • 12.5.8.5.Rest of Asia-Pacific
  • 12.6.Middle East and Africa
    • 12.6.1.Introduction
    • 12.6.2.Key Region-Specific Dynamics
    • 12.6.3.Market Size Analysis and Y-o-Y Growth Analysis (%), By Type
    • 12.6.4.Market Size Analysis and Y-o-Y Growth Analysis (%), By Capacity
    • 12.6.5.Market Size Analysis and Y-o-Y Growth Analysis (%), By Operation
    • 12.6.6.Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
    • 12.6.7.Market Size Analysis and Y-o-Y Growth Analysis (%), By Application

13.Competitive Landscape

  • 13.1.Competitive Scenario
  • 13.2.Market Positioning/Share Analysis
  • 13.3.Mergers and Acquisitions Analysis

14.Company Profiles

  • 14.1.CNH Industrial N.V.*
    • 14.1.1.Company Overview
    • 14.1.2.Product Portfolio and Description
    • 14.1.3.Financial Overview
    • 14.1.4.Key Developments
  • 14.2.Mahindra & Mahindra Ltd.
  • 14.3.Deere & Company
  • 14.4.YANMAR HOLDINGS CO., LTD.
  • 14.5.Kubota Corporation
  • 14.6.Naio Technologies
  • 14.7.Bobat Company
  • 14.8.Agrobot
  • 14.9.AGCO Corporation.
  • 14.10.Certhon

LIST NOT EXHAUSTIVE

15.Appendix

  • 15.1.About Us and Services
  • 15.2.Contact Us