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市場調查報告書
商品編碼
1448025

自主農場設備市場 - 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個工作天內

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簡介目錄

概述

2022年,全球自主農業設備市場規模達9.002億美元,預計2030年將達到29.9218億美元,2023-2030年預測期間CAGR為16.2%。

感測器技術、人工智慧、機器學習和機器人技術的不斷進步正在推動更先進、更有效率的自主農場設備的開發。這些技術可以提高農業任務的精確度、決策和自動化,從而提高生產力並降低勞動成本。

2022 年 10 月,自主採摘領域的先驅 Nanovel Ltd. 推出了一款自主樹果採收機。借助人工智慧、電腦視覺、機器學習和機器人專利技術,Nanovel 開發了一種自主樹果收割機,使該過程比手動收割更加高效、可靠且經濟實惠。機器人能夠抓取和修剪的水果品種有柑橘、核果、酪梨和芒果等。

曳引機由於在農業活動中廣泛應用,佔據了一半以上的市場。同樣,北美在自主農業設備市場上佔據主導地位,佔據了最大的市場佔有率,因為該地區一直處於採用先進農業設備的最前沿。

動力學

越來越多採用先進的農業實踐

先進的農業實踐強調精準農業技術,以最佳化資源利用並最大限度地提高作物產量。自主農場設備配備感測器、GPS 技術和即時資料分析,可實現精確種植、施肥、噴灑和收穫,從而提高效率和生產力。自主農場設備透過及時、準確的干涉措施(例如有針對性地施用化學肥料、農藥和水等投入品)促進更好的作物管理。

2023 年 3 月,無人機製造商 XAG 與 FarmInno 合作,在泰國推出全自動農業無人機。極飛的自主農業無人機由人工智慧(AI)驅動,將用於定向噴灑和施肥。這將有助於泰國農民減少勞動力短缺並節省時間和精力。

農業勞動力短缺

農業部門的勞動力短缺,特別是在人口老化和城市移民趨勢的地區,給尋找和留住熟練農場工人帶來了挑戰。根據世界銀行的數據,2020 年農業就業(佔總就業的百分比)為 27%,而 2021 年將下降至 26%。此外,根據 2021 年《農場雜誌》勞動力調查,大多數農場雇主 (87%) 和農產品零售商 (91%) 都難以填補職缺。

因此,農民擴大轉向自主農場設備,以自動化重複性和勞動密集型任務,如種植、除草、噴灑和收割。透過減少對體力勞動的依賴,自主農場設備有助於解決勞動力短缺帶來的挑戰,確保基本的農場作業能夠有效率且有效地進行。

高投資

採用自主農場設備的主要限制之一是所需的高額初始投資。購買和實施自主機械(包括先進感測器、GPS 技術、機器人和資料管理系統)的成本可能很高。對於許多農民,尤其是中小型企業來說,前期資本投資可能會對採用產生重大障礙。

自主農業設備市場的另一個挑戰是不同自主系統和設備之間缺乏相容性和互通性。如果自主技術與他們現有的機械不相容或需要與其他農場管理系統進行複雜的整合,農民可能會猶豫是否要投資自主技術。

目錄

目錄

第 1 章:方法與範圍

  • 研究方法論
  • 報告的研究目的和範圍

第 2 章:定義與概述

第 3 章:執行摘要

  • 按類型分類的片段
  • 按容量分類的片段
  • 按操作的片段
  • 技術片段
  • 按應用程式片段
  • 按地區分類的片段

第 4 章:動力學

  • 影響因素
    • 促進要素
      • 越來越多採用先進的農業實踐
      • 農業勞動力短缺
    • 限制
      • 高投資
    • 機會
    • 影響分析

第 5 章:產業分析

  • 波特五力分析
  • 供應鏈分析
  • 定價分析
  • 監管分析
  • 俄烏戰爭影響分析
  • DMI 意見

第 6 章:COVID-19 分析

  • COVID-19 分析
    • 新冠疫情爆發前的情景
    • 新冠疫情期間的情景
    • 新冠疫情後的情景
  • COVID-19 期間的定價動態
  • 供需譜
  • 疫情期間政府與市場相關的舉措
  • 製造商策略舉措
  • 結論

第 7 章:按類型

  • 聯結機
  • 收割機
  • 無人機
  • 灌溉設備
  • 畜牧設備
  • 其他

第 8 章:按容量

  • 低於 30 匹馬力
  • 至 100 匹馬力
  • 100HP以上

第 9 章:透過操作

  • 完全自主
  • 半自主

第 10 章:按技術

  • 全球定位系統
  • 物聯網
  • 其他

第 11 章:按應用

  • 農業
  • 園藝
  • 畜牧業
  • 其他

第 12 章:按地區

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 法國
    • 義大利
    • 俄羅斯
    • 歐洲其他地區
  • 南美洲
    • 巴西
    • 阿根廷
    • 南美洲其他地區
  • 亞太
    • 中國
    • 印度
    • 日本
    • 澳洲
    • 亞太其他地區
  • 中東和非洲

第13章:競爭格局

  • 競爭場景
  • 市場定位/佔有率分析
  • 併購分析

第 14 章:公司簡介

  • CNH Industrial NV
    • 公司簡介
    • 產品組合和描述
    • 財務概覽
    • 主要進展
  • Mahindra & Mahindra Ltd.
  • Deere & Company
  • YANMAR HOLDINGS CO., LTD.
  • Kubota Corporation
  • Naio Technologies
  • Bobat Company
  • Agrobot
  • AGCO Corporation.
  • Certhon

第 15 章:附錄

簡介目錄
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