自律型農業機械市場：2023年～2030年

概要

自律型農業機械の世界市場は、2022年に9億20万米ドルに達し、2030年には29億9,218万米ドルに達すると予測され、予測期間2023-2030年のCAGRは16.2%で成長する見込みです。

センサー技術、人工知能、機械学習、ロボット工学の絶え間ない進歩が、より高度で効率的な自律型農業機械の開発を促進しています。これらの技術は、農業作業におけるより優れた精度、意思決定、自動化を可能にし、生産性の向上と人件費の削減につながります。

2022年10月、自律型収穫のパイオニアであるナノベル社は、自律型樹木果実収穫機を発表しました。AI、コンピューター・ビジョン、機械学習、特許取得済みのロボット技術の助けを借りて、ナノベル社は、手作業による収穫よりも効率的で信頼性が高く、手頃な価格のプロセスを実現する自律型樹木果実収穫機を開発しました。シトラス、ストーンフルーツ、アボカド、マンゴーなど、このロボットが把持して刈り取ることができる果物の品種は多いです。

トラクターは農業活動に広く応用されているため、市場シェアの半分以上を占めています。同様に、北米が自律型農業機械市場を独占しており、同地域が先進的な農機導入の最前線にいることから、最大の市場シェアを獲得しています。

ダイナミクス

先進農法の採用拡大

先進農法は、資源利用を最適化し作物収量を最大化する精密農業技術を重視します。センサー、GPS技術、リアルタイムのデータ分析を備えた自律型農業機械は、正確な植え付け、施肥、散布、収穫を可能にし、効率と生産性の向上につながります。自律型農業機械は、肥料、農薬、水などの投入物の的を絞った散布など、タイムリーで正確な介入を通じて、より良い作物管理を促進します。

2023年3月、ドローンメーカーのXAGはFarmInnoと提携し、完全自律型の農業用ドローンをタイに導入しました。XAGの自律型農業用ドローンは人工知能（AI）を搭載しており、ターゲットを絞った散布や肥料の分配に活用されます。これにより、タイの農家は労働力不足を解消し、時間とエネルギーを節約することができます。

農業における労働力不足

農業部門における労働力不足は、特に人口の高齢化や都市部への移住動向のある地域において、熟練した農業労働者の調達と確保という課題につながっています。世界銀行によると、農業における雇用（全雇用に占める割合）は2020年には27％だったが、2021年には26％に減少します。また、2021年のFarm Journal Labour Surveyによると、大多数の農業雇用者（87％）と農業小売業者（91％）が雇用の充足に困っています。

その結果、農家は植え付け、除草、散布、収穫などの反復的で労働集約的な作業を自動化するため、自律型農業機械にますます注目するようになっています。手作業への依存を減らすことで、自律型農業機械は労働力不足がもたらす課題に対処し、必要不可欠な農作業を効率的かつ効果的に実施できるようにします。

高額投資

自律型農業機械市の導入における主な阻害要因の1つは、必要とされる初期投資の高さです。高度なセンサー、GPS技術、ロボット工学、データ管理システムなど、自律型機械の購入と導入には多額の費用がかかります。多くの農家、特に中小規模の経営にとっては、先行設備投資が採用の大きな障壁となる可能性があります。

自律型農業機械市場にとってのもう1つの課題は、異なる自律型システムや機器間の互換性や相互運用性の欠如です。農家は、自律型技術が既存の機械と互換性がない場合、または他の農場管理システムとの複雑な統合が必要な場合、自律型技術への投資を躊躇する可能性があります。

目次

第1章 調査手法と調査範囲

第2章 定義と概要

第3章 エグゼクティブサマリー

第4章 市場力学

• 影響要因
  • 促進要因
    • 先進農法の採用拡大
    • 農業における労働力不足
  • 抑制要因
    • 高額投資
  • 機会
  • 影響分析

第5章 産業分析

• ポーターのファイブフォース分析
• サプライチェーン分析
• 価格分析
• 規制分析
• ロシア・ウクライナ戦争の影響分析
• DMIの見解

第6章 COVID-19分析

第7章 タイプ別

• トラクター
• 収穫機
• UAV（無人搬送機）
• 灌漑機器
• 畜産機械
• その他

第8章 容量別

• 30馬力未満
• ～100馬力
• 100馬力以上

第9章 オペレーション別

• 完全自律型
• 半自律

第10章 テクノロジー別

• GPS
• IOT
• その他

第11章 用途別

• 農業
• 園芸
• 畜産
• その他

第12章 地域別

• 北米
  • 米国
  • カナダ
  • メキシコ
• 欧州
  • ドイツ
  • 英国
  • フランス
  • イタリア
  • ロシア
  • その他欧州
• 南米
  • ブラジル
  • アルゼンチン
  • その他南米
• アジア太平洋
  • 中国
  • インド
  • 日本
  • オーストラリア
  • その他アジア太平洋地域
• 中東・アフリカ

第13章 競合情勢

• 競合シナリオ
• 市況/シェア分析
• M&A分析

第14章 企業プロファイル

• CNH Industrial N.V.
  • 会社概要
  • 製品ポートフォリオと説明
  • 財務概要
  • 主な発展
• Mahindra & Mahindra Ltd.
• Deere & Company
• YANMAR HOLDINGS CO., LTD.
• Kubota Corporation
• Naio Technologies
• Bobat Company
• Agrobot
• AGCO Corporation.
• Certhon

第15章 付録

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