播種和種植機器人市場機會、成長動力、產業趨勢分析與預測 2024 - 2032

2023年，全球播種和種植機器人市場價值為28.5億美元，預計2024年至2032年複合年成長率為25.2%。播種和種植機器人透過最大限度地減少對人類勞動力的依賴，同時確保一致和高效的種植操作來應對這項挑戰。這些機器人可以連續作業，克服勞動限制，有效彌補勞動供需差距。它們能夠毫無疲勞地執行重複性任務，這對大規模農業來說尤其有價值。

加拿大皇家銀行的一份報告強調了這一趨勢，預測到 2033 年，40% 的加拿大農場經營者將退休，這加劇了對自動化以維持生產力的需求。該行業正在經歷向精準農業的轉變，這在很大程度上是由人工智慧 (AI) 和機器學習等先進技術的採用所推動的。這些技術提高了機器人播種的精確度，顯著提高了作物產量並最佳化了資源利用率。人工智慧整合可以即時分析土壤條件和環境因素，從而實現更好的決策和更有效的種植策略。

市場依組件分為硬體和軟體。 2023年，硬體領域佔據最大的市場佔有率，佔比超過64%。硬體組件對於提高播種和種植機器人的運作效率和性能至關重要。關鍵硬體元件包括 GPS 系統、先進感測器和精密執行器，可確保最佳種植深度和準確的種子放置。

這些組件使機器人能夠自主運作並適應可變的田間條件，從而提高作物產量並減少對體力勞動的需求。北美在 2023 年佔據市場主導地位，市佔率超過 37%，預計在整個預測期內將保持領先。這種主導地位歸因於該地區先進的技術基礎設施和高採用率。特別是美國和加拿大在農業創新和研究方面進行了大量投資，推動了先進機器人技術的發展。

高勞動力成本以及對高效和永續農業實踐的關注進一步加速了北美自動化的採用。此外，大規模農業的盛行和強大的技術整合生態系統有助於該地區在農業機器人領域的領先地位

目錄

第 1 章：方法與範圍

第 2 章：執行摘要

第 3 章：產業洞察

• 產業生態系統分析
• 供應商矩陣
• 技術與創新格局
• 專利分析
• 重要新聞和舉措
• 監管環境
• 衝擊力
  • 成長動力
    • 勞動力短缺
    • 技術進步
    • 提高效率
    • 永續發展目標
    • 經濟效益
  • 產業陷阱與挑戰
    • 初期投資高
    • 技術複雜性
• 成長潛力分析
• 波特的分析
• PESTEL分析

第 4 章：競爭格局

• 公司市佔率分析
• 競爭定位矩陣
• 戰略展望矩陣

第 5 章：市場估計與預測：按類型，2021 - 2032

• 主要趨勢
• 自主播種機器人
• 種植無人機
• 行間播種機
• 移植機器人
• 其他

第 6 章：市場估計與預測：按組成部分，2021 - 2032 年

• 主要趨勢
• 硬體
• 軟體

第 7 章：市場估計與預測：依農業類型，2021 - 2032

• 主要趨勢
• 室內的
• 戶外的

第 8 章：市場估計與預測：按有效負載類型，2021 - 2032 年

• 主要趨勢
• 最多 5 公斤
• 5公斤至20公斤
• 20公斤至100公斤
• 100公斤以上

第 9 章：市場估計與預測：依應用分類，2021 - 2032

• 主要趨勢
• 農業
• 林業
• 園藝
• 苗圃

第 10 章：市場估計與預測：按地區，2021 - 2032

• 主要趨勢
• 北美洲
  • 美國
  • 加拿大
• 歐洲
  • 英國
  • 德國
  • 法國
  • 義大利
  • 西班牙
  • 歐洲其他地區
• 亞太地區
  • 中國
  • 印度
  • 日本
  • 韓國
  • 澳新銀行
  • 亞太地區其他地區
• 拉丁美洲
  • 巴西
  • 墨西哥
  • 拉丁美洲其他地區
• MEA
  • 阿拉伯聯合大公國
  • 沙烏地阿拉伯
  • 南非
  • MEA 的其餘部分

第 11 章：公司簡介

• XMACHINES
• AGCO Corporation
• AgXeed BV
• CNH Industrial
• Deere & Company
• Ducksize
• FarmDroid
• Harvest Automation
• Korechi Innovations Inc.
• Monarch Tractor
• Naio Technologies
• Raven Industries, Inc.
• Small Robot Company
• SwarmFarm Robotics
• Yanmar Holdings Co., Ltd
• Agro Intelligence A/S
• Agribotix
• AGCO GmbH

The Global Seeding And Planting Robots Market was valued at USD 2.85 billion in 2023 and is expected to grow at a CAGR of 25.2% from 2024 to 2032. With a growing labor shortage in the agricultural sector, automation has become increasingly important. Seeding and planting robots address this challenge by minimizing dependence on human labor while ensuring consistent and efficient planting operations. These robots can operate continuously, overcoming labor limitations and effectively bridging the gap between labor supply and demand. Their capability to execute repetitive tasks without fatigue is particularly valuable for large-scale farming.

A report by the Royal Bank of Canada underscores this trend, predicting that 40% of Canadian farm operators will retire by 2033, intensifying the need for automation to sustain productivity. The industry is experiencing a shift toward precision agriculture, largely fueled by the adoption of advanced technologies like artificial intelligence (AI) and machine learning. These technologies enhance robots' precision in seed placement, significantly boosting crop yields and optimizing resource utilization. AI integration allows for real-time analysis of soil conditions and environmental factors, enabling better decision-making and more effective planting strategies.

The market is segmented by components into hardware and software. In 2023, the hardware segment held the largest market share, accounting for over 64%. Hardware components are essential for improving the operational efficiency and performance of seeding and planting robots. Key hardware elements include GPS systems, advanced sensors, and precision actuators, which ensure optimal planting depth and accurate seed placement.

These components allow the robots to function autonomously and adjust to variable field conditions, thereby enhancing crop yields and reducing the need for manual labor. North America dominated the market in 2023, with over 37% market share, and is expected to maintain its leading position throughout the forecast period. This dominance is attributed to the region's advanced technological infrastructure and high adoption rates. The U.S. and Canada, in particular, have made substantial investments in agricultural innovation and research, driving the development of advanced robotics.

High labor costs and a focus on efficient and sustainable farming practices further accelerate the adoption of automation in North America. Additionally, the prevalence of large-scale farming and a robust ecosystem for technology integration contribute to the region's leadership in agricultural robotics

Table of Contents

Chapter 1 Methodology & Scope

• 1.1 Market scope & definition
• 1.2 Base estimates & calculations
• 1.3 Forecast parameters
• 1.4 Data sources
  • 1.4.1 Primary
  • 1.4.2 Secondary
    • 1.4.2.1 Paid sources
    • 1.4.2.2 Public sources

Chapter 2 Executive Summary

• 2.1 Industry 360° synopsis, 2021 - 2032

Chapter 3 Industry Insights

• 3.1 Industry ecosystem analysis
• 3.2 Vendor matrix
• 3.3 Technology & innovation landscape
• 3.4 Patent analysis
• 3.5 Key news and initiatives
• 3.6 Regulatory landscape
• 3.7 Impact forces
  • 3.7.1 Growth drivers
    • 3.7.1.1 Labor shortages
    • 3.7.1.2 Technological advancements
    • 3.7.1.3 Increased efficiency
    • 3.7.1.4 Sustainability goals
    • 3.7.1.5 Economic benefits
  • 3.7.2 Industry pitfalls & challenges
    • 3.7.2.1 High initial investment
    • 3.7.2.2 Technical complexity
• 3.8 Growth potential analysis
• 3.9 Porter's analysis
  • 3.9.1 Supplier power
  • 3.9.2 Buyer power
  • 3.9.3 Threat of new entrants
  • 3.9.4 Threat of substitutes
  • 3.9.5 Industry rivalry
• 3.10 PESTEL analysis

Chapter 4 Competitive Landscape, 2023

• 4.1 Company market share analysis
• 4.2 Competitive positioning matrix
• 4.3 Strategic outlook matrix

Chapter 5 Market Estimates & Forecast, By Type, 2021 - 2032 (USD Million & Units)

• 5.1 Key trends
• 5.2 Autonomous seeding robot
• 5.3 Planting drone
• 5.4 Row planter
• 5.5 Transplanters robot
• 5.6 Others

Chapter 6 Market Estimates & Forecast, By Component, 2021 - 2032 (USD Million)

• 6.1 Key trends
• 6.2 Hardware
• 6.3 Software

Chapter 7 Market Estimates & Forecast, By Farming Type, 2021 - 2032 (USD Million & Units)

• 7.1 Key trends
• 7.2 Indoor
• 7.3 Outdoor

Chapter 8 Market Estimates & Forecast, By Payload Type, 2021 - 2032 (USD Million & Units)

• 8.1 Key trends
• 8.2 Up to 5 kg
• 8.3 5 kg to 20 kg
• 8.4 20 kg to 100 kg
• 8.5 Over 100 kg

Chapter 9 Market Estimates & Forecast, By Application, 2021 - 2032 (USD Million & Units)

• 9.1 Key trends
• 9.2 Agricultural
• 9.3 Forestry
• 9.4 Horticulture
• 9.5 Nurseries

Chapter 10 Market Estimates & Forecast, By Region, 2021 - 2032 (USD Million & Units)

• 10.1 Key trends
• 10.2 North America
  • 10.2.1 U.S.
  • 10.2.2 Canada
• 10.3 Europe
  • 10.3.1 UK
  • 10.3.2 Germany
  • 10.3.3 France
  • 10.3.4 Italy
  • 10.3.5 Spain
  • 10.3.6 Rest of Europe
• 10.4 Asia Pacific
  • 10.4.1 China
  • 10.4.2 India
  • 10.4.3 Japan
  • 10.4.4 South Korea
  • 10.4.5 ANZ
  • 10.4.6 Rest of Asia Pacific
• 10.5 Latin America
  • 10.5.1 Brazil
  • 10.5.2 Mexico
  • 10.5.3 Rest of Latin America
• 10.6 MEA
  • 10.6.1 UAE
  • 10.6.2 Saudi Arabia
  • 10.6.3 South Africa
  • 10.6.4 Rest of MEA

Chapter 11 Company Profiles

• 11.1 XMACHINES
• 11.2 AGCO Corporation
• 11.3 AgXeed B. V.
• 11.4 CNH Industrial
• 11.5 Deere & Company
• 11.6 Ducksize
• 11.7 FarmDroid
• 11.8 Harvest Automation
• 11.9 Korechi Innovations Inc.
• 11.10 Monarch Tractor
• 11.11 Naio Technologies
• 11.12 Raven Industries, Inc.
• 11.13 Small Robot Company
• 11.14 SwarmFarm Robotics
• 11.15 Yanmar Holdings Co., Ltd
• 11.16 Agro Intelligence A/S
• 11.17 Agribotix
• 11.18 AGCO GmbH