市場調査レポート

商品コード

1559201

農業ロボットの世界市場の評価：タイプ別、コンポーネント別、農業環境別、用途別、地域別、機会、予測（2017年～2031年）

Agriculture Robots Market Assessment, By Type, By Component, By Farming Environment, By Application, By Region, Opportunities and Forecast, 2017-2031F

出版日: 2024年09月24日
発行: Market Xcel - Markets and Data
ページ情報: 英文 224 Pages
納期: 3～5営業日

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全表示
概要
図表
目次

概要

サンプル依頼リストに入れる

世界の農業ロボットの市場規模は、2023年の140億8,000万米ドルから2031年に655億4,000万米ドルに達すると予測され、予測期間の2024年～2031年にCAGRで21.20％の成長が見込まれます。市場は、自動化、AI、精密農業技術の開発によって急速に拡大しています。これらの機械は、作物の植え付け、収穫、除草、モニタリングなどのさまざまなプロセスを自動化することで、従来の農業技術を変えつつあります。その結果、より効率的になり、人的労働の必要性が低下しています。市場は引き続き、独自の農業作業を解決するために設計された無人航空機（UAV）/ドローン、搾乳ロボット、無人トラクター、自動収穫システムなどのさまざまなカテゴリに区分されています。

市場の発展に寄与している主な理由は、人口の増加による食料需要の増加、持続可能な農業への需要、農業地域の労働力不足です。AI、機械学習、IoTなどの技術開発により、ロボットは複雑な業務をより正確かつ確実に遂行できるようになっています。政府の強力な支援、技術開発、農家の意識により、北米、欧州、アジア太平洋が農業ロボット採用における主要地域となっています。

Deere & Company、Trimble Inc、SZ DJI Technology Co, Ltdなどの主要企業は、多様な農業ニーズに応える革新的ソリューションを開発するため、研究開発に多額の投資を行っています。農業ロボットの採用は、スマート農業や精密農業に向けた動向の高まりによってさらに後押しされ、世界の農業の生産性と持続可能性が向上する可能性が高いです。農業ロボットは、より効率的で正確、かつ持続可能な農業のかたちを通じて農業シナリオを変革し続けることから、市場は飛躍的な成長が見込まれます。

2024年4月、SZ DJI Technology Co., Ltd.は、Agras T50/T25ドローンを国外に導入し、人気のAgrasシリーズのリーチを拡大しました。T50は大規模な農作業の効率化に向けて作られていますが、T25は持ち運びが可能で、小規模なビジネスに最適です。両モデルとも、アップグレードされたSmartFarmソフトウェアとともにシームレスに動作し、航空機による作物処理の管理を改善します。

2024年3月、フランスを拠点とするSIZA Roboticsは、野菜栽培に商業利用する自律型ロボットのプレシリーズを発表しました。この製品は、より持続可能で効果的な農業システムを開発するため、作業コストの削減と管理を目的としています。

人件費の増加が農業ロボットの採用に拍車をかける

世界の農業ロボット採用は、人件費の上昇によって促されています。より確立された地域が、必要な労働者の数に関して不足に直面しているため、そのような人員の雇用と需要を満たすコストが大幅に増加しています。また、農業従事者の平均年齢が上昇し、新しい世代が農業に関心を示さなくなったことも、農業従事者がより安価な管理手法を求める要因となっています。

植え付け、収穫、除草、モニタリングなどの作業では、農業ロボットの方がより速く均一なパフォーマンスを発揮することから、農業ロボットの方がよい代替となる作業もあります。多くの時間を消費する反復作業を自動化することで、ロボットは生産コストを削減すると同時に、人的ミスを減らし、より効率的で収益性の高い農産物の生産につながります。2024年8月、Fieldwork Robotics Ltdは、人間の摘果作業者と同じペースと品質で収穫することを目標に、自律型ロボットモデル、Fieldworker 1を発表しました。

また、近年のロボットやAIの進歩により、コストが下がり農家が利用しやすくなったことで、普及が加速しています。したがって、人件費の増加は農業における機械化とロボットの雇用に向けた世界の動きに大きく寄与しています。

当レポートでは、世界の農業ロボット市場について調査分析し、市場規模と予測、市場力学、主要企業の情勢と見通しなどを提供しています。

人口統計（年齢/コホート分析 - ベビーブーマー世代、X世代、ミレニアル世代、Z世代、性別、所得 - 低所得、中所得、高所得、地域、国籍など）
市場の認知度と製品情報
ブランド認知度とロイヤルティ
購入決定において考慮される要素
- コスト
- 投資の収益率
- 使いやすさ、統合
- 拡張性と柔軟性
- 信頼性
- 正確さ
- サポートとトレーニング
- 規制遵守
- 技術の互換性
- ベンダーの評判と体験
購入チャネル
購入目的
購入頻度
既存または見込みユーザー

第5章世界の農業ロボット市場の見通し（2017年～2031年）

市場規模の分析と予測
- 金額
市場シェア分析と予測
- タイプ別
- コンポーネント別
- 農業環境別
- 用途別
- 地域別
- 市場シェア分析：企業別（金額）（上位5社とその他 - 2023年）
市場マップ分析（2023年）
- タイプ別
- コンポーネント別
- 農業環境別
- 用途別
- 地域別

第6章北米の農業ロボット市場の見通し（2017年～2031年）

市場規模の分析と予測
- 金額
市場シェア分析と予測
- タイプ別
- コンポーネント別
- 農業環境別
- 用途別
- シェア：国別
各国の市場の評価
- 米国の農業ロボット市場の見通し（2017年～2031年）
- カナダ
- メキシコ

第7章欧州の農業ロボット市場の見通し（2017年～2031年）

ドイツ
フランス
イタリア
英国
ロシア
オランダ
スペイン
トルコ
ポーランド

第8章アジア太平洋の農業ロボット市場の見通し（2017年～2031年）

インド
中国
日本
オーストラリア
ベトナム
韓国
インドネシア
フィリピン

第9章南米の農業ロボット市場の見通し（2017年～2031年）

ブラジル
アルゼンチン

第10章中東・アフリカの農業ロボット市場の見通し（2017年～2031年）

サウジアラビア
アラブ首長国連邦
南アフリカ

第11章需給分析

第12章バリューチェーン分析

第13章ポーターのファイブフォース分析

第14章 PESTLE分析

第15章マクロ経済指標

第16章価格分析

第17章利益率分析

第18章市場力学

市場促進要因
市場の課題

第19章市場の動向と発展

第20章ケーススタディ

第21章競合情勢

マーケットリーダー上位5社の競合マトリクス
企業エコシステム分析（スタートアップ vs. 中小企業 vs. 大規模企業）
上位5社のSWOT分析
主要企業上位10社の情勢
- Deere & Company
- SZ DJI Technology Co., Ltd.
- Trimble Inc.
- Parrot Drones SAS
- AgEagle Aerial Systems Inc.
- Autonomous Solutions, Inc.
- Naio Technologies SAS
- Lely International N.V.
- Kubota Corporation
- Ecorobotix SA

第22章戦略的推奨

第23章当社について、免責事項

図表

List of Tables

Table 1. Pricing Analysis of Products from Key Players
Table 2. Competition Matrix of Top 5 Market Leaders
Table 3. Mergers & Acquisitions/ Joint Ventures (If Applicable)
Table 4. About Us - Regions and Countries Where We Have Executed Client Projects

List of Figures

Figure 1. Global Agriculture Robots Market, By Value, In USD Billion, 2017-2031F
Figure 2. Global Agriculture Robots Market Share (%), By Type, 2017-2031F
Figure 3. Global Agriculture Robots Market Share (%), By Component, 2017-2031F
Figure 4. Global Agriculture Robots Market Share (%), By Farming Environment, 2017-2031F
Figure 5. Global Agriculture Robots Market Share (%), By Application, 2017-2031F
Figure 6. Global Agriculture Robots Market Share (%), By Region, 2017-2031F
Figure 7. North America Agriculture Robots Market, By Value, In USD Billion, 2017-2031F
Figure 8. North America Agriculture Robots Market Share (%), By Type, 2017-2031F
Figure 9. North America Agriculture Robots Market Share (%), By Component, 2017-2031F
Figure 10. North America Agriculture Robots Market Share (%), By Farming Environment, 2017-2031F
Figure 11. North America Agriculture Robots Market Share (%), By Application, 2017-2031F
Figure 12. North America Agriculture Robots Market Share (%), By Country, 2017-2031F
Figure 13. United States Agriculture Robots Market, By Value, In USD Billion, 2017-2031F
Figure 14. United States Agriculture Robots Market Share (%), By Type, 2017-2031F
Figure 15. United States Agriculture Robots Market Share (%), By Component, 2017-2031F
Figure 16. United States Agriculture Robots Market Share (%), By Farming Environment, 2017-2031F
Figure 17. United States Agriculture Robots Market Share (%), By Application, 2017-2031F
Figure 18. Canada Agriculture Robots Market, By Value, In USD Billion, 2017-2031F
Figure 19. Canada Agriculture Robots Market Share (%), By Type, 2017-2031F
Figure 20. Canada Agriculture Robots Market Share (%), By Component, 2017-2031F
Figure 21. Canada Agriculture Robots Market Share (%), By Farming Environment, 2017-2031F
Figure 22. Canada Agriculture Robots Market Share (%), By Application, 2017-2031F
Figure 23. Mexico Agriculture Robots Market, By Value, In USD Billion, 2017-2031F
Figure 24. Mexico Agriculture Robots Market Share (%), By Type, 2017-2031F
Figure 25. Mexico Agriculture Robots Market Share (%), By Component, 2017-2031F
Figure 26. Mexico Agriculture Robots Market Share (%), By Farming Environment, 2017-2031F
Figure 27. Mexico Agriculture Robots Market Share (%), By Application, 2017-2031F
Figure 28. Europe Agriculture Robots Market, By Value, In USD Billion, 2017-2031F
Figure 29. Europe Agriculture Robots Market Share (%), By Type, 2017-2031F
Figure 30. Europe Agriculture Robots Market Share (%), By Component, 2017-2031F
Figure 31. Europe Agriculture Robots Market Share (%), By Farming Environment, 2017-2031F
Figure 32. Europe Agriculture Robots Market Share (%), By Application, 2017-2031F
Figure 33. Europe Agriculture Robots Market Share (%), By Country, 2017-2031F
Figure 34. Germany Agriculture Robots Market, By Value, In USD Billion, 2017-2031F
Figure 35. Germany Agriculture Robots Market Share (%), By Type, 2017-2031F
Figure 36. Germany Agriculture Robots Market Share (%), By Component, 2017-2031F
Figure 37. Germany Agriculture Robots Market Share (%), By Farming Environment, 2017-2031F
Figure 38. Germany Agriculture Robots Market Share (%), By Application, 2017-2031F
Figure 39. France Agriculture Robots Market, By Value, In USD Billion, 2017-2031F
Figure 40. France Agriculture Robots Market Share (%), By Type, 2017-2031F
Figure 41. France Agriculture Robots Market Share (%), By Component, 2017-2031F
Figure 42. France Agriculture Robots Market Share (%), By Farming Environment, 2017-2031F
Figure 43. France Agriculture Robots Market Share (%), By Application, 2017-2031F
Figure 44. Italy Agriculture Robots Market, By Value, In USD Billion, 2017-2031F
Figure 45. Italy Agriculture Robots Market Share (%), By Type, 2017-2031F
Figure 46. Italy Agriculture Robots Market Share (%), By Component, 2017-2031F
Figure 47. Italy Agriculture Robots Market Share (%), By Farming Environment, 2017-2031F
Figure 48. Italy Agriculture Robots Market Share (%), By Application, 2017-2031F
Figure 49. United Kingdom Agriculture Robots Market, By Value, In USD Billion, 2017-2031F
Figure 50. United Kingdom Agriculture Robots Market Share (%), By Type, 2017-2031F
Figure 51. United Kingdom Agriculture Robots Market Share (%), By Component, 2017-2031F
Figure 52. United Kingdom Agriculture Robots Market Share (%), By Farming Environment, 2017-2031F
Figure 53. United Kingdom Agriculture Robots Market Share (%), By Application, 2017-2031F
Figure 54. Russia Agriculture Robots Market, By Value, In USD Billion, 2017-2031F
Figure 55. Russia Agriculture Robots Market Share (%), By Type, 2017-2031F
Figure 56. Russia Agriculture Robots Market Share (%), By Component, 2017-2031F
Figure 57. Russia Agriculture Robots Market Share (%), By Farming Environment, 2017-2031F
Figure 58. Russia Agriculture Robots Market Share (%), By Application, 2017-2031F
Figure 59. Netherlands Agriculture Robots Market, By Value, In USD Billion, 2017-2031F
Figure 60. Netherlands Agriculture Robots Market Share (%), By Type, 2017-2031F
Figure 61. Netherlands Agriculture Robots Market Share (%), By Component, 2017-2031F
Figure 62. Netherlands Agriculture Robots Market Share (%), By Farming Environment, 2017-2031F
Figure 63. Netherlands Agriculture Robots Market Share (%), By Application, 2017-2031F
Figure 64. Spain Agriculture Robots Market, By Value, In USD Billion, 2017-2031F
Figure 65. Spain Agriculture Robots Market Share (%), By Type, 2017-2031F
Figure 66. Spain Agriculture Robots Market Share (%), By Component, 2017-2031F
Figure 67. Spain Agriculture Robots Market Share (%), By Farming Environment, 2017-2031F
Figure 68. Spain Agriculture Robots Market Share (%), By Application, 2017-2031F
Figure 69. Turkey Agriculture Robots Market, By Value, In USD Billion, 2017-2031F
Figure 70. Turkey Agriculture Robots Market Share (%), By Type, 2017-2031F
Figure 71. Turkey Agriculture Robots Market Share (%), By Component, 2017-2031F
Figure 72. Turkey Agriculture Robots Market Share (%), By Farming Environment, 2017-2031F
Figure 73. Turkey Agriculture Robots Market Share (%), By Application, 2017-2031F
Figure 74. Poland Agriculture Robots Market, By Value, In USD Billion, 2017-2031F
Figure 75. Poland Agriculture Robots Market Share (%), By Type, 2017-2031F
Figure 76. Poland Agriculture Robots Market Share (%), By Component, 2017-2031F
Figure 77. Poland Agriculture Robots Market Share (%), By Farming Environment, 2017-2031F
Figure 78. Poland Agriculture Robots Market Share (%), By Application, 2017-2031F
Figure 79. South America Agriculture Robots Market, By Value, In USD Billion, 2017-2031F
Figure 80. South America Agriculture Robots Market Share (%), By Type, 2017-2031F
Figure 81. South America Agriculture Robots Market Share (%), By Component, 2017-2031F
Figure 82. South America Agriculture Robots Market Share (%), By Farming Environment, 2017-2031F
Figure 83. South America Agriculture Robots Market Share (%), By Application, 2017-2031F
Figure 84. South America Agriculture Robots Market Share (%), By Country, 2017-2031F
Figure 85. Brazil Agriculture Robots Market, By Value, In USD Billion, 2017-2031F
Figure 86. Brazil Agriculture Robots Market Share (%), By Type, 2017-2031F
Figure 87. Brazil Agriculture Robots Market Share (%), By Component, 2017-2031F
Figure 88. Brazil Agriculture Robots Market Share (%), By Farming Environment, 2017-2031F
Figure 89. Brazil Agriculture Robots Market Share (%), By Application, 2017-2031F
Figure 90. Argentina Agriculture Robots Market, By Value, In USD Billion, 2017-2031F
Figure 91. Argentina Agriculture Robots Market Share (%), By Type, 2017-2031F
Figure 92. Argentina Agriculture Robots Market Share (%), By Component, 2017-2031F
Figure 93. Argentina Agriculture Robots Market Share (%), By Farming Environment, 2017-2031F
Figure 94. Argentina Agriculture Robots Market Share (%), By Application, 2017-2031F
Figure 95. Asia-Pacific Agriculture Robots Market, By Value, In USD Billion, 2017-2031F
Figure 96. Asia-Pacific Agriculture Robots Market Share (%), By Type, 2017-2031F
Figure 97. Asia-Pacific Agriculture Robots Market Share (%), By Component, 2017-2031F
Figure 98. Asia-Pacific Agriculture Robots Market Share (%), By Farming Environment, 2017-2031F
Figure 99. Asia-Pacific Agriculture Robots Market Share (%), By Application, 2017-2031F
Figure 100. Asia-Pacific Agriculture Robots Market Share (%), By Country, 2017-2031F
Figure 101. India Agriculture Robots Market, By Value, In USD Billion, 2017-2031F
Figure 102. India Agriculture Robots Market Share (%), By Type, 2017-2031F
Figure 103. India Agriculture Robots Market Share (%), By Component, 2017-2031F
Figure 104. India Agriculture Robots Market Share (%), By Farming Environment, 2017-2031F
Figure 105. India Agriculture Robots Market Share (%), By Application, 2017-2031F
Figure 106. China Agriculture Robots Market, By Value, In USD Billion, 2017-2031F
Figure 107. China Agriculture Robots Market Share (%), By Type, 2017-2031F
Figure 108. China Agriculture Robots Market Share (%), By Component, 2017-2031F
Figure 109. China Agriculture Robots Market Share (%), By Farming Environment, 2017-2031F
Figure 110. China Agriculture Robots Market Share (%), By Application, 2017-2031F
Figure 111. Japan Agriculture Robots Market, By Value, In USD Billion, 2017-2031F
Figure 112. Japan Agriculture Robots Market Share (%), By Type, 2017-2031F
Figure 113. Japan Agriculture Robots Market Share (%), By Component, 2017-2031F
Figure 114. Japan Agriculture Robots Market Share (%), By Farming Environment, 2017-2031F
Figure 115. Japan Agriculture Robots Market Share (%), By Application, 2017-2031F
Figure 116. Australia Agriculture Robots Market, By Value, In USD Billion, 2017-2031F
Figure 117. Australia Agriculture Robots Market Share (%), By Type, 2017-2031F
Figure 118. Australia Agriculture Robots Market Share (%), By Component, 2017-2031F
Figure 119. Australia Agriculture Robots Market Share (%), By Farming Environment, 2017-2031F
Figure 120. Australia Agriculture Robots Market Share (%), By Application, 2017-2031F
Figure 121. Vietnam Agriculture Robots Market, By Value, In USD Billion, 2017-2031F
Figure 122. Vietnam Agriculture Robots Market Share (%), By Type, 2017-2031F
Figure 123. Vietnam Agriculture Robots Market Share (%), By Component, 2017-2031F
Figure 124. Vietnam Agriculture Robots Market Share (%), By Farming Environment, 2017-2031F
Figure 125. Vietnam Agriculture Robots Market Share (%), By Application, 2017-2031F
Figure 126. South Korea Agriculture Robots Market, By Value, In USD Billion, 2017-2031F
Figure 127. South Korea Agriculture Robots Market Share (%), By Type, 2017-2031F
Figure 128. South Korea Agriculture Robots Market Share (%), By Component, 2017-2031F
Figure 129. South Korea Agriculture Robots Market Share (%), By Farming Environment, 2017-2031F
Figure 130. South Korea Agriculture Robots Market Share (%), By Application, 2017-2031F
Figure 131. Indonesia Agriculture Robots Market, By Value, In USD Billion, 2017-2031F
Figure 132. Indonesia Agriculture Robots Market Share (%), By Type, 2017-2031F
Figure 133. Indonesia Agriculture Robots Market Share (%), By Component, 2017-2031F
Figure 134. Indonesia Agriculture Robots Market Share (%), By Farming Environment, 2017-2031F
Figure 135. Indonesia Agriculture Robots Market Share (%), By Application, 2017-2031F
Figure 136. Philippines Agriculture Robots Market, By Value, In USD Billion, 2017-2031F
Figure 137. Philippines Agriculture Robots Market Share (%), By Type, 2017-2031F
Figure 138. Philippines Agriculture Robots Market Share (%), By Component, 2017-2031F
Figure 139. Philippines Agriculture Robots Market Share (%), By Farming Environment, 2017-2031F
Figure 140. Philippines Agriculture Robots Market Share (%), By Application, 2017-2031F
Figure 141. Middle East & Africa Agriculture Robots Market, By Value, In USD Billion, 2017-2031F
Figure 142. Middle East & Africa Agriculture Robots Market Share (%), By Type, 2017-2031F
Figure 143. Middle East & Africa Agriculture Robots Market Share (%), By Component, 2017-2031F
Figure 144. Middle East & Africa Agriculture Robots Market Share (%), By Farming Environment, 2017-2031F
Figure 145. Middle East & Africa Agriculture Robots Market Share (%), By Application, 2017-2031F
Figure 146. Middle East & Africa Agriculture Robots Market Share (%), By Country, 2017-2031F
Figure 147. Saudi Arabia Agriculture Robots Market, By Value, In USD Billion, 2017-2031F
Figure 148. Saudi Arabia Agriculture Robots Market Share (%), By Type, 2017-2031F
Figure 149. Saudi Arabia Agriculture Robots Market Share (%), By Component, 2017-2031F
Figure 150. Saudi Arabia Agriculture Robots Market Share (%), By Farming Environment, 2017-2031F
Figure 151. Saudi Arabia Agriculture Robots Market Share (%), By Application, 2017-2031F
Figure 152. UAE Agriculture Robots Market, By Value, In USD Billion, 2017-2031F
Figure 153. UAE Agriculture Robots Market Share (%), By Type, 2017-2031F
Figure 154. UAE Agriculture Robots Market Share (%), By Component, 2017-2031F
Figure 155. UAE Agriculture Robots Market Share (%), By Farming Environment, 2017-2031F
Figure 156. UAE Agriculture Robots Market Share (%), By Application, 2017-2031F
Figure 157. South Africa Agriculture Robots Market, By Value, In USD Billion, 2017-2031F
Figure 158. South Africa Agriculture Robots Market Share (%), By Type, 2017-2031F
Figure 159. South Africa Agriculture Robots Market Share (%), By Component, 2017-2031F
Figure 160. South Africa Agriculture Robots Market Share (%), By Farming Environment, 2017-2031F
Figure 161. South Africa Agriculture Robots Market Share (%), By Application, 2017-2031F
Figure 162. By Type Map-Market Size (USD Billion) & Growth Rate (%), 2023
Figure 163. By Component Map-Market Size (USD Billion) & Growth Rate (%), 2023
Figure 164. By Farming Environment Map-Market Size (USD Billion) & Growth Rate (%), 2023
Figure 165. By Application Map-Market Size (USD Billion) & Growth Rate (%), 2023
Figure 166. By Region Map-Market Size (USD Billion) & Growth Rate (%), 2023

Product Code: MX11934

Global agriculture robots market is projected to witness a CAGR of 21.20% during the forecast period 2024-2031, growing from USD 14.08 billion in 2023 to USD 65.54 billion in 2031. The market is expanding rapidly, driven by automation, AI, and precision agricultural technology developments. These machines are changing conventional farming techniques by automating different processes such as planting, harvesting, weeding, and monitoring crops. As a result, they have become more efficient, lowering the need for human labor. The market continues to be segmented into various categories, including unmanned aerial vehicles (UAVs)/drones, milking robots, driverless tractors, and automated harvesting systems, designed to solve unique agricultural tasks.

The leading reasons contributing to the development of the market consist of the increasing need for food as a result of a growing population, the demand for sustainable agriculture, and the lack of labor in agricultural areas. Technological developments such as artificial intelligence, machine learning, and the Internet of Things have enabled robots to accomplish complicated duties more accurately and reliably. Due to strong governmental support, technological development, and farmers' awareness, North America, Europe, and Asia-Pacific are the leading regions in adopting agricultural robots.

Leading companies such as Deere & Company, Trimble Inc., and SZ DJI Technology Co., Ltd. heavily invest in R&D to develop innovative solutions catering to diverse farming needs. The adoption of agricultural robots will be further supported by the increasing trend towards smart farming and precision agriculture, which will likely enhance global agricultural productivity and sustainability. The market is set for tremendous growth as it continues transforming the agricultural scenario through more efficient, accurate, and sustainable forms of farming.

In April 2024, SZ DJI Technology Co., Ltd. introduced the Agras T50 and T25 drones overseas, extending the reach of their popular Agras series. While the T50 is made for large-scale farming efficiency, the T25 is portable and ideal for smaller businesses. Both models operate seamlessly with the upgraded SmartFarm software, which improves the management of aerial crop treatments.

In March 2024, France based SIZA Robotics introduced a pre-series of autonomous robots for use in vegetable farming commercially. The product is aimed at reducing and controlling the costs of operation to develop a more sustainable and effective agricultural system.

Increasing Labor Costs Spur the Adoption of Agriculture Robots

Global adoption of agricultural robots has been prompted by rising labor expenses. The cost of hiring and meeting the demands of such personnel has increased greatly due to more established areas encountering scarcity in regard to the number of workers needed. Another factor that contributes to this aspect is the increasing average age of farmers and the lack of interest among new generations, prompting farmers to look for cheaper management options.

For some tasks, agricultural robots are better replacements as their performance is faster and uniform in areas such as planting, harvesting, weeding, and monitoring. To automate repetitive tasks which consume a lot of time, robots reduce the cost of production while at the same time reducing human errors, leading to more efficient and profitable farm produce. In August 2024, with the goal of harvesting at the same pace and quality as human pickers, Fieldwork Robotics Ltd introduced an autonomous robot model, Fieldworker 1, expected to harvest without sacrificing quality as it is outfitted with spectral frequency, which eliminates human bias from the assessment of berry maturity.

In addition, recent advancements made in robotics and AI have lowered the costs, making them more available to farmers, thus hastening their uptake. Hence, increasing labor costs have significantly contributed to the worldwide movement towards mechanization and employment of robots in agriculture.

Rise of Indoor and Vertical Farming Practices Fuel the Market Growth

Adoption of agricultural robots is being propelled significantly due to the rising popularity of indoor and vertical farming. This modern form of agriculture demands the growth of plants in controlled places such as greenhouses or vertical stacks where the water, nutrients, and light need to be managed precisely. Agricultural robots are especially appropriate for such settings, where space utilization and resource efficiency remain important factors to be considered.

Highly sophisticated robots are fitted with sensitive sensors as well as AI capacities, which enable them to do various functions such as sowing and putting seeds into the ground while observing the wellbeing of crops throughout their growth before finally collecting them in an extremely precise manner. Such automation increases production rates, cutting down on labor expenses, and guarantee uniformity of crop standards.

There are cases of indoor and vertical farming whereby robots help to reduce carbon footprints in agriculture. Urbanization and the need for sustainable agricultural practices have led to a rise in indoor and vertical farms. With the constant demand for local fresh produce, the significance of incorporating agricultural robotics into vertical and indoor farms to offer efficient, eco-friendly, and expandable food production systems is increasing. In May 2023, the autonomous mobile robot, Watney, was launched by the Danish robotics company, Seasony, to address the unique problems associated with indoor and vertical farming. Watney's 80 cm width makes it possible to reach racks in confined passageways. The robot can safely move between humans and equipment in a very little space, using advanced LiDAR technology.

Driverless Tractors to Gain Momentum

Farmers are increasingly looking for solutions that enhance productivity efficiently and economically. Thus, there is a growing trend towards driverless tractors in agriculture. With advanced GPS, sensors, and AI, these autonomous machines can conduct various field operations such as plowing, planting, or harvesting with precision and less human supervision. The rising adoption of driverless tractors is propelled by the desire to address labor shortages, lower operating expenses, and maximize farming techniques.

Eliminating the human need for drivers, these tractors minimize labor costs and enable uninterrupted functioning amid tough weather conditions and at night. Besides, these driverless tractors reduce the chance of human error, improve fuel economy and decrease soil compaction that leads to sustainable farming practices. Robotics and machine learning advancements have made such tractors versatile and dependable on various land surfaces and kinds of crops.

The agriculture sector is adopting technology to enhance its operations, thus making driverless tractors increasingly sought after in the market. In August 2023, New Holland Agriculture, owned by CNH Industrial N.V., launched T4 Electric Power, an all-electric utility tractor which has autonomous features. For a variety of uses, including mixed farms, hay and forage, dairy, livestock, municipalities, greenhouses, and specialty crops, the T4 Electric Power is an excellent option for field operations requiring less horsepower.

Asia-Pacific Market to Grow Rapidly

Agricultural robots are becoming more popular in Asia-Pacific due to profit and sustainability requirements. China, Japan, and India are among the leading economies attracting these investments due to escalating costs of labor accompanied with depletion of farmhands resulting from rural-urban migration; coupled with a rising demand for food occasioned by population growth. Consequently, governments have set out to establish precision agriculture and improve yields through encouraging farmers to use farming technologies by providing them with financial support or giving them favorable policies that will enable them to adopt innovative practices.

In addition, the region boasts of various agricultural activities spanning from paddy fields to big estates, thus catering need for different types of robots such as drones, driverless tractors, and machines for collecting fruits and vegetables. In June 2024, Tokyo-based GMO Internet Group, Inc. launched its new business to rent out AI-based robots to clients for personal use. The business is paying attention to the need for these robots in a variety of sectors, including agriculture. The business model is aimed at filling shortages in the workforce.

The agriculture robots market is anticipated to witness a fast growth trajectory in the Asia-Pacific countries as they keep pouring more resources into technological advancements and agricultural innovations that will revolutionize conventional farming methods while enhancing food security on a global scale.

Future Market Scenario (2024 - 2031F)

With the increasing global population, food demand continues to rise, and the agricultural sector is under immense pressure to raise productivity levels to respond to skilled labor shortages while making the shift towards sustainable agricultural practices. Modern farming is expected to be revolutionized by agricultural robots using AI, machine learning, and IoT, resolving the current issues farmers face.

A variety of agricultural robots with a range of capabilities is expected to grow, including self-driving tractors and drones designed for taking pictures of crops from the top and machines made to weed, prune, and harvest crops.

By deliberately increasing investments in research and development by key market players and globally supportive government policies such as tax breaks, agricultural robots will be adopted much faster.

Key Players Landscape and Outlook

The landscape of the agricultural robots market is characterized by a mix of established industry leaders, innovative startups, and technology giants, competing to develop advanced solutions that enhance farming efficiency and productivity. These players are heavily investing in research and development to introduce cutting-edge technologies such as AI, machine learning, and IoT to create more sophisticated and capable robots. In November 2023, Naio Technologies launched Augmented Autonomy, an innovation that allows every robot in its fleet to function independently of a human operator. This leads to considerable time savings and enhanced productivity. Moreover, the market is seeing an influx of partnerships, mergers, and acquisitions as companies collaborate to combine expertise and expand their product portfolios.

Increasing demand for automation to address labor shortages, rising operational costs, and the need for sustainable farming practices are expected to drive the growth of the market. The market is expected to witness robust growth, particularly in regions such as North America, Europe, and Asia-Pacific, where technological adoption is high, and government support for digital agriculture is strong. As the industry moves forward, the key players are expected to focus on enhancing the precision, reliability, and cost-effectiveness of their robotic solutions, driving further innovation and adoption across various agricultural applications, including planting, harvesting, weeding, and crop monitoring.

1. Project Scope and Definitions

2. Research Methodology

3. Executive Summary

4. Voice of Customer

4.1. Demographics (Age/Cohort Analysis - Baby Boomers and Gen X, Millennials, Gen Z; Gender; Income - Low, Mid and High; Geography; Nationality; etc.)
4.2. Market Awareness and Product Information
4.3. Brand Awareness and Loyalty
4.4. Factors Considered in Purchase Decision
- 4.4.1. Cost
- 4.4.2. Return on Investment
- 4.4.3. Ease of Use and Integration
- 4.4.4. Scalability and Flexibility
- 4.4.5. Reliability
- 4.4.6. Accuracy
- 4.4.7. Support and Training
- 4.4.8. Compliance with Regulations
- 4.4.9. Technology Compatibility
- 4.4.10. Vendor Reputation and Experience
4.5. Purchase Channel
4.6. Purpose of Purchase
4.7. Frequency of Purchase
4.8. Existing or Intended User

5. Global Agriculture Robots Market Outlook, 2017-2031F

5.1. Market Size Analysis & Forecast
- 5.1.1. By Value
5.2. Market Share Analysis & Forecast
- 5.2.1. By Type
  - 5.2.1.1. Unmanned Aerial Vehicles (UAVs)/Drones
  - 5.2.1.2. Milking Robots
  - 5.2.1.3. Driverless Tractors
  - 5.2.1.4. Automated Harvesting Systems
  - 5.2.1.5. Others
- 5.2.2. By Component
  - 5.2.2.1. Hardware
  - 5.2.2.2. Software
- 5.2.3. By Farming Environment
  - 5.2.3.1. Outdoor
  - 5.2.3.2. Indoor
- 5.2.4. By Application
  - 5.2.4.1. Field Farming
  - 5.2.4.2. Dairy Management
  - 5.2.4.3. Soil Management
  - 5.2.4.4. Crop Management
  - 5.2.4.5. Precision Agriculture
  - 5.2.4.6. Others
- 5.2.5. By Region
  - 5.2.5.1. North America
  - 5.2.5.2. Europe
  - 5.2.5.3. Asia-Pacific
  - 5.2.5.4. South America
  - 5.2.5.5. Middle East and Africa
- 5.2.6. By Company Market Share Analysis (Top 5 Companies and Others - By Value, 2023)
5.3. Market Map Analysis, 2023
- 5.3.1. By Type
- 5.3.2. By Component
- 5.3.3. By Farming Environment
- 5.3.4. By Application
- 5.3.5. By Region

6. North America Agriculture Robots Market Outlook, 2017-2031F*

6.1. Market Size Analysis & Forecast
- 6.1.1. By Value
6.2. Market Share Analysis & Forecast
- 6.2.1. By Type
  - 6.2.1.1. Unmanned Aerial Vehicles (UAVs)/Drones
  - 6.2.1.2. Milking Robots
  - 6.2.1.3. Driverless Tractors
  - 6.2.1.4. Automated Harvesting Systems
  - 6.2.1.5. Others
- 6.2.2. By Component
  - 6.2.2.1. Hardware
  - 6.2.2.2. Software
- 6.2.3. By Farming Environment
  - 6.2.3.1. Outdoor
  - 6.2.3.2. Indoor
- 6.2.4. By Application
  - 6.2.4.1. Field Farming
  - 6.2.4.2. Dairy Management
  - 6.2.4.3. Soil Management
  - 6.2.4.4. Crop Management
  - 6.2.4.5. Precision Agriculture
  - 6.2.4.6. Others
- 6.2.5. By Country Share
  - 6.2.5.1. United States
  - 6.2.5.2. Canada
  - 6.2.5.3. Mexico
6.3. Country Market Assessment
- 6.3.1. United States Agriculture Robots Market Outlook, 2017-2031F*
  - 6.3.1.1. Market Size Analysis & Forecast
    - 6.3.1.1.1. By Value
  - 6.3.1.2. Market Share Analysis & Forecast
    - 6.3.1.2.1. By Type
      - 6.3.1.2.1.1. Unmanned Aerial Vehicles (UAVs)/Drones
      - 6.3.1.2.1.2. Milking Robots
      - 6.3.1.2.1.3. Driverless Tractors
      - 6.3.1.2.1.4. Automated Harvesting Systems
      - 6.3.1.2.1.5. Others
    - 6.3.1.2.2. By Component
      - 6.3.1.2.2.1. Hardware
      - 6.3.1.2.2.2. Software
    - 6.3.1.2.3. By Farming Environment
      - 6.3.1.2.3.1. Outdoor
      - 6.3.1.2.3.2. Indoor
    - 6.3.1.2.4. By Application
      - 6.3.1.2.4.1. Field Farming
      - 6.3.1.2.4.2. Dairy Management
      - 6.3.1.2.4.3. Soil Management
      - 6.3.1.2.4.4. Crop Management
      - 6.3.1.2.4.5. Precision Agriculture
      - 6.3.1.2.4.6. Others
- 6.3.2. Canada
- 6.3.3. Mexico

All segments will be provided for all regions and countries covered

7. Europe Agriculture Robots Market Outlook, 2017-2031F

7.1. Germany
7.2. France
7.3. Italy
7.4. United Kingdom
7.5. Russia
7.6. Netherlands
7.7. Spain
7.8. Turkey
7.9. Poland

8. Asia-Pacific Agriculture Robots Market Outlook, 2017-2031F

8.1. India
8.2. China
8.3. Japan
8.4. Australia
8.5. Vietnam
8.6. South Korea
8.7. Indonesia
8.8. Philippines

9. South America Agriculture Robots Market Outlook, 2017-2031F

9.1. Brazil
9.2. Argentina

10. Middle East and Africa Agriculture Robots Market Outlook, 2017-2031F

10.1. Saudi Arabia
10.2. UAE
10.3. South Africa

11. Demand Supply Analysis

12. Value Chain Analysis

13. Porter's Five Forces Analysis

14. PESTLE Analysis

15. Macro-economic Indicators

16. Pricing Analysis

17. Profit Margin Analysis

18. Market Dynamics

18.1. Market Drivers
18.2. Market Challenges

19. Market Trends and Developments

20. Case Studies

21. Competitive Landscape

21.1. Competition Matrix of Top 5 Market Leaders
21.2. Company Ecosystem Analysis (Startup v/s SME v/s Large-scale)
21.3. SWOT Analysis for Top 5 Players
21.4. Key Players Landscape for Top 10 Market Players
- 21.4.1. Deere & Company
  - 21.4.1.1. Company Details
  - 21.4.1.2. Key Management Personnel
  - 21.4.1.3. Products and Services
  - 21.4.1.4. Financials (As Reported)
  - 21.4.1.5. Key Market Focus and Geographical Presence
  - 21.4.1.6. Recent Developments/Collaborations/Partnerships/Mergers and Acquisition
- 21.4.2. SZ DJI Technology Co., Ltd.
- 21.4.3. Trimble Inc.
- 21.4.4. Parrot Drones SAS
- 21.4.5. AgEagle Aerial Systems Inc.
- 21.4.6. Autonomous Solutions, Inc.
- 21.4.7. Naio Technologies SAS
- 21.4.8. Lely International N.V.
- 21.4.9. Kubota Corporation
- 21.4.10. Ecorobotix SA

Companies mentioned above DO NOT hold any order as per market share and can be changed as per information available during research work.

農業ロボットの世界市場の評価：タイプ別、コンポーネント別、農業環境別、用途別、地域別、機会、予測（2017年～2031年）

Agriculture Robots Market Assessment, By Type, By Component, By Farming Environment, By Application, By Region, Opportunities and Forecast, 2017-2031F

目次

第1章 プロジェクトの範囲と定義

第2章 調査手法

第3章 エグゼクティブサマリー

第4章 顧客の声

第5章 世界の農業ロボット市場の見通し（2017年～2031年）

第6章 北米の農業ロボット市場の見通し（2017年～2031年）

第7章 欧州の農業ロボット市場の見通し（2017年～2031年）

第8章 アジア太平洋の農業ロボット市場の見通し（2017年～2031年）

第9章 南米の農業ロボット市場の見通し（2017年～2031年）

第10章 中東・アフリカの農業ロボット市場の見通し（2017年～2031年）

第11章 需給分析

第12章 バリューチェーン分析

第13章 ポーターのファイブフォース分析