封面
市场调查报告书
商品编码
1755966

2032 年智慧作物行动市场预测:按产品、农场、应用、最终用户和地区进行的全球分析

Smart Crop Mobility Market Forecasts to 2032 - Global Analysis By Product (Autonomous Tractors, Robotic Harvesters, Drones/UAVs, Mobile Robots, Seeders and Planters Robots and Other Products), Farm, Application, End User and By Geography

出版日期: | 出版商: Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3个工作天内

价格

根据 Stratistics MRC 的数据,全球智慧作物行动市场预计在 2025 年达到 57.4 亿美元,预计到 2032 年将达到 158 亿美元,预测期内的复合年增长率为 15.6%。

「智慧作物移动」指整合GPS、物联网、人工智慧和行动平台等最尖端科技,以改善整个农业价值链中作物的运输、监测和管理。该技术将促进作物种植、生长、收穫和分配的自动化决策、即时数据收集和预测分析。这种方法确保资源得到最大程度的利用,同时提高效率并消除浪费。在技​​术主导、移动优先的农业环境中,智慧作物移动透过促进智慧物流以及农场营运和市场之间的互联互通,促进永续农业和粮食安全。

精密农业的需求

精密农业需要先进的技术来实现精准的种植、收穫和监测,而智慧作物移动解决方案正是实现这一目标的途径。这些解决方案能够即时收集和分析作物健康和土壤状况数据,从而提高效率。智慧型移动设备正成为农民寻求最大限度提高产量和减少资源浪费的必备工具。智慧型行动装置与GPS和物联网技术的集成,可以支援有针对性的干预措施并减少对环境的影响。因此,精密农业的发展正在显着推动智慧作物行动市场的成长和创新。

初期投资高

先进技术和设备需要大量的初始投资,许多中小型农户难以承受。这限制了市场准入,并减缓了应用速度。此外,高投资风险可能会吓跑潜在的投资者和相关人员。因此,在成本变得更实惠或资金筹措选择改善之前,市场成长将受到限制。

新兴市场数位化

这些地区快速的都市化和收入成长推动了智慧农业技术的采用。数位化可以透过物联网设备和数据分析对作物进行精准监测和管理。智慧行动解决方案因其产量提升和资源浪费减少而更具吸引力。此外,开发中国家的政府计画正在鼓励数位农业作为提高粮食安全的手段。这些因素共同加速了智慧作物移动领域的技术进步和产业发展。

监管和数据所有权问题

严格的规则限制了农业资料的交换和使用,阻碍了创新与合作。数据所有权的不确定性阻碍了农民和其他相关人员采用智慧技术。遵守不同地域的法规增加了企业的营运成本和复杂性。这些问题也会减缓新产品的研发和新市场的开拓。总体而言,市场扩张和技术创新受到监管障碍和数据问题的限制。

COVID-19的影响

新冠疫情扰乱了智慧作物运输市场,导致供应链停滞,劳动力短缺和田间作业受限,技术应用放缓。然而,疫情也加速了对自动化和精密农业的需求,以解决人手不足并提高效率。越来越多的农民开始使用智慧作物运输解决方案进行远端监控和管理,这有助于推动市场的长期成长。总体而言,儘管疫情初期遭遇挫折,但它凸显了智慧农业技术的重要性,并在后疫情时代推动了更强劲的采用。

预计自动驾驶拖拉机市场将成为预测期内最大的市场

由于自动化技术提高了营运效率,自动驾驶拖拉机领域预计将在预测期内占据最大的市场占有率。这些拖拉机减少了对体力劳动的需求,使农民能够精准管理广阔的田地,并最大限度地减少人工干预。先进的传感器和GPS技术的整合实现了即时数据收集和作物管理优化。自动驾驶拖拉机还能最大限度地减少土壤压实和燃料消耗,从而支持永续农业。因此,它们的应用将加速农业现代化,并推动作物生产中智慧移动解决方案的成长。

预计农业合作社部门在预测期内将以最高的复合年增长率成长。

在预测期内,农业合作社预计将实现最高成长率,这得益于先进农业技术的集体投资。这些合作社促进了智慧移动解决方案的联合使用,从而降低了农民的个人成本。它们也促进了知识交流,并加速了精密农业工具的采用。此外,合作社透过协作使用智慧作物移动技术来提高供应链效率。这种集体合作方式增加了对智慧农业的需求,并推动了创新,从而推动了市场成长。

占比最大的地区:

在预测期内,由于粮食需求成长、可耕地面积减少以及农业现代化的推动,亚太地区预计将占据最大的市场占有率。中国、印度和日本等国家正大力投资机器人技术、主导监控系统和自动化田间机械,以提高农业效率。政府补贴以及智慧型手机和网路在农民中的普及率不断提高,正在推动农业的数位转型。该地区的农业较为分散,这对可扩展、经济高效的行动解决方案既是挑战,也是机会。

复合年增长率最高的地区:

在预测期内,由于精密农业技术的采用和政府的支持措施,北美地区预计将呈现最高的复合年增长率。美国和加拿大在物联网农业机械、GPS追踪系统和数据分析的整合方面处于领先地位,旨在提高作物产量。劳动力短缺问题日益严重以及对永续农业方法的需求不断增长,推动了自动驾驶拖拉机和无人机的使用。成熟的农业技术公司以及创业投资支持的新兴企业正在加速该领域的创新。

提供免费客製化:

订阅此报告的客户可享有以下免费自订选项之一:

  • 公司简介
    • 全面分析其他市场参与者(最多 3 家公司)
    • 主要企业的SWOT分析(最多3家公司)
  • 地理细分
    • 根据客户兴趣对主要国家市场进行估计、预测和复合年增长率(註:基于可行性检查)
  • 竞争基准化分析
    • 根据产品系列、地理分布和策略联盟对主要企业基准化分析

目录

第一章执行摘要

第二章 前言

  • 概述
  • 相关利益者
  • 研究范围
  • 调查方法
    • 资料探勘
    • 数据分析
    • 数据检验
    • 研究途径
  • 研究材料
    • 主要研究资料
    • 次级研究资讯来源
    • 先决条件

第三章市场走势分析

  • 驱动程式
  • 限制因素
  • 机会
  • 威胁
  • 产品分析
  • 应用分析
  • 最终用户分析
  • 新兴市场
  • COVID-19的影响

第四章 波特五力分析

  • 供应商的议价能力
  • 买家的议价能力
  • 替代品的威胁
  • 新进入者的威胁
  • 竞争对手之间的竞争

5. 全球智慧作物行动市场(按产品)

  • 自动拖拉机
  • 机器人收割机
  • 无人机
  • 移动机器人
  • 播种种植机器人
  • 除草机器人
  • 自主喷雾器
  • 自主灌溉系统
  • 可变速率技术(VRT)系统
  • 其他产品

6. 全球智慧作物行动市场(依农场规模)

  • 小型农场
  • 中型农场
  • 大型农场

7. 全球智慧作物行动市场(按应用)

  • 田间作物
  • 果园和葡萄园
  • 温室管理
  • 特色作物
  • 其他

8. 全球智慧作物行动市场(依最终用户)

  • 农民
  • 农业合作社
  • 政府
  • 研究组织
  • 农业相关企业
  • 其他最终用户

9. 全球智慧作物行动市场(按地区)

  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 义大利
    • 法国
    • 西班牙
    • 其他欧洲国家
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 澳洲
    • 纽西兰
    • 韩国
    • 其他亚太地区
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地区
  • 中东和非洲
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 卡达
    • 南非
    • 其他中东和非洲地区

第十章 重大进展

  • 协议、伙伴关係、合作和合资企业
  • 收购与合併
  • 新产品发布
  • 业务扩展
  • 其他关键策略

第十一章 公司概况

  • AGCO Corporation
  • CNH Industrial
  • Raven Industries
  • Kubota Corporation
  • Trimble Inc.
  • CLAAS Group
  • Syngenta
  • Yara International
  • Ag Leader Technology
  • Blue River Technology
  • Prospera Technologies
  • Robert Bosch GmbH
  • Small Robot Company
  • Indigo Agriculture
  • FarmWise Labs, Inc.
  • ecoRobotix
Product Code: SMRC29860

According to Stratistics MRC, the Global Smart Crop Mobility Market is accounted for $5.74 billion in 2025 and is expected to reach $15.8 billion by 2032 growing at a CAGR of 15.6% during the forecast period. The term "smart crop mobility" describes how cutting-edge technologies like GPS, IoT, AI, and mobile platforms are integrated to improve crop movement, monitoring, and management across the agricultural value chain. For the planting, growth, harvesting, and distribution of crops, it facilitates automated decision-making, real-time data collection, and predictive analysis. This approach guarantees the best possible use of resources while increasing efficiency and decreasing waste. In a tech-driven, mobile-first agricultural environment, Smart Crop Mobility promotes sustainable agriculture and food security by facilitating smart logistics and connection between farm operations and markets.

Market Dynamics:

Driver:

Precision agriculture demand

It requires sophisticated technologies for accurate planting, harvesting, and monitoring, which smart crop mobility solutions offer. By making it possible to collect and analyse data on crop health and soil conditions in real time, these solutions increase efficiency. Smart mobility devices are becoming indispensable tools for farmers looking to maximise yields and minimise resource waste. By supporting targeted interventions and reducing environmental impact, integration with GPS and IoT technologies is made possible. As a result, the development of precision agriculture significantly drives the market for smart crop mobility's growth and innovation.

Restraint:

High initial investment

The advanced technology and equipment required demand substantial upfront capital. Many small and medium-scale farmers find it difficult to afford these costs. This limits the market's accessibility and slows widespread adoption. Additionally, high investment risks may deter potential investors and stakeholders. Consequently, market growth is restrained until costs become more affordable or financing options improve.

Opportunity:

Emerging markets & digitization

Smart farming technology adoption is being fuelled by these regions' rapid urbanisation and rising incomes. With the use of IoT devices and data analytics, digitisation makes it possible to precisely monitor and manage crops. Smart mobility solutions become more appealing as a result of increased production and less resource waste. Furthermore, government programs in developing nations encourage digital agriculture as a means of increasing food security. These elements work together to speed up technological advancements and industry growth in smart crop mobility.

Threat:

Regulatory & data ownership issues

Innovation and cooperation are slowed by stringent rules that restrict the exchange and use of agricultural data. Uncertain data ownership rights may make farmers and other stakeholders hesitant to embrace smart technologies. Companies' operational costs and complexity grow when they have to comply with different geographical regulations. These problems may also postpone the creation of new products and the introduction of new markets. In general, the market's expansion and technological innovation are constrained by regulatory obstacles and data concerns.

Covid-19 Impact

The Covid-19 pandemic disrupted the Smart Crop Mobility market by slowing supply chains and delaying technology adoption due to labor shortages and restricted field access. However, it also accelerated the demand for automation and precision farming to reduce human contact and increase efficiency. Farmers increasingly turned to smart crop mobility solutions for remote monitoring and management, boosting long-term market growth. Overall, while initial setbacks occurred, the pandemic highlighted the importance of smart agricultural technologies, driving stronger adoption post-Covid.

The autonomous tractors segment is expected to be the largest during the forecast period

The autonomous tractors segment is expected to account for the largest market share during the forecast period by enhancing operational efficiency through automation. These tractors reduce the need for manual labor, allowing farmers to manage large fields with precision and minimal human intervention. Integration of advanced sensors and GPS technology enables real-time data collection and optimized crop management. Autonomous tractors also support sustainable farming by minimizing soil compaction and fuel consumption. Consequently, their adoption accelerates the modernization of agriculture, driving the growth of smart mobility solutions in crop production.

The agricultural cooperatives segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the agricultural cooperatives segment is predicted to witness the highest growth rate, due to collective investment in advanced farming technologies. These cooperatives facilitate shared access to smart mobility solutions, reducing individual costs for farmers. They also promote knowledge exchange, accelerating the adoption of precision agriculture tools. Furthermore, cooperatives enhance supply chain efficiency through coordinated use of smart crop mobility. This collective approach drives market growth by increasing demand and fostering innovation in smart farming.

Region with largest share:

During the forecast period, the Asia Pacific region is expected to hold the largest market share by rising food demand, shrinking arable land, and a push toward agricultural modernization. Countries like China, India, and Japan are investing heavily in robotics, AI-driven monitoring systems, and automated field machinery to enhance farming efficiency. Government subsidies, along with increasing smartphone and internet penetration among farmers, are fostering digital transformation in agriculture. The region's fragmented farming landscape presents both a challenge and an opportunity for scalable, cost-effective mobility solutions.

Region with highest CAGR:

Over the forecast period, the North America region is anticipated to exhibit the highest CAGR, owing to the adoption of precision agriculture technologies and supportive government initiatives. The United States and Canada are leading in integrating IoT-enabled farm machinery, GPS-based tracking systems, and data analytics for improved crop productivity. Growing concerns over labor shortages and increasing demand for sustainable farming practices are driving the use of autonomous tractors and drones. Established agri-tech firms and venture capital-backed startups are accelerating innovation in this sector.

Key players in the market

Some of the key players profiled in the Smart Crop Mobility Market include AGCO Corporation, CNH Industrial, Raven Industries, Kubota Corporation, Trimble Inc., CLAAS Group, Syngenta, Yara International, Ag Leader Technology, Blue River Technology, Prospera Technologies, Robert Bosch GmbH, Small Robot Company, Indigo Agriculture, FarmWise Labs, Inc. and ecoRobotix.

Key Developments:

In April 2024, CNH partnered with Intelsat to provide satellite-based mobile internet services for their farm equipment customers. This initiative addresses connectivity issues in remote farming areas, enabling farmers to utilize CNH's digital farming services more effectively.

In September 2023, AGCO announced plans to build a 300-acre sustainable test farm named "Dakota Smart Farm" in Casselton, North Dakota. This initiative focuses on developing sustainable farming practices and high-value retrofit precision technology solutions, serving as a living laboratory for innovation in agriculture.

In April 2023, AGCO partnered with Bosch BASF Smart Farming to integrate and commercialize a Smart Spraying Solution on Fendt Rogator sprayers. This technology enables precise herbicide application, reducing chemical usage without compromising weed control.

Products Covered:

  • Autonomous Tractors
  • Robotic Harvesters
  • Drones/UAVs
  • Mobile Robots
  • Seeders and Planters Robots
  • Weeding Robots
  • Autonomous Sprayers
  • Autonomous Irrigation Systems
  • Variable Rate Technology (VRT) Systems
  • Other Products

Farm Sizes Covered:

  • Small Farms
  • Medium Farms
  • Large Farms

Applications Covered:

  • Field Crops
  • Orchards and Vineyards
  • Greenhouse Operations
  • Specialty Crops
  • Other Applications

End Users Covered:

  • Farmers
  • Agricultural Cooperatives
  • Government Agencies
  • Research Institutions
  • Agribusiness Companies
  • Other End Users

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • Rest of Middle East & Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2024, 2025, 2026, 2028, and 2032
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

  • 2.1 Abstract
  • 2.2 Stake Holders
  • 2.3 Research Scope
  • 2.4 Research Methodology
    • 2.4.1 Data Mining
    • 2.4.2 Data Analysis
    • 2.4.3 Data Validation
    • 2.4.4 Research Approach
  • 2.5 Research Sources
    • 2.5.1 Primary Research Sources
    • 2.5.2 Secondary Research Sources
    • 2.5.3 Assumptions

3 Market Trend Analysis

  • 3.1 Introduction
  • 3.2 Drivers
  • 3.3 Restraints
  • 3.4 Opportunities
  • 3.5 Threats
  • 3.6 Product Analysis
  • 3.7 Application Analysis
  • 3.8 End User Analysis
  • 3.9 Emerging Markets
  • 3.10 Impact of Covid-19

4 Porters Five Force Analysis

  • 4.1 Bargaining power of suppliers
  • 4.2 Bargaining power of buyers
  • 4.3 Threat of substitutes
  • 4.4 Threat of new entrants
  • 4.5 Competitive rivalry

5 Global Smart Crop Mobility Market, By Product

  • 5.1 Introduction
  • 5.2 Autonomous Tractors
  • 5.3 Robotic Harvesters
  • 5.4 Drones/UAVs
  • 5.5 Mobile Robots
  • 5.6 Seeders and Planters Robots
  • 5.7 Weeding Robots
  • 5.8 Autonomous Sprayers
  • 5.9 Autonomous Irrigation Systems
  • 5.10 Variable Rate Technology (VRT) Systems
  • 5.11 Other Products

6 Global Smart Crop Mobility Market, By Farm Size

  • 6.1 Introduction
  • 6.2 Small Farms
  • 6.3 Medium Farms
  • 6.4 Large Farms

7 Global Smart Crop Mobility Market, By Application

  • 7.1 Introduction
  • 7.2 Field Crops
  • 7.3 Orchards and Vineyards
  • 7.4 Greenhouse Operations
  • 7.5 Specialty Crops
  • 7.6 Other Applications

8 Global Smart Crop Mobility Market, By End User

  • 8.1 Introduction
  • 8.2 Farmers
  • 8.3 Agricultural Cooperatives
  • 8.4 Government Agencies
  • 8.5 Research Institutions
  • 8.6 Agribusiness Companies
  • 8.7 Other End Users

9 Global Smart Crop Mobility Market, By Geography

  • 9.1 Introduction
  • 9.2 North America
    • 9.2.1 US
    • 9.2.2 Canada
    • 9.2.3 Mexico
  • 9.3 Europe
    • 9.3.1 Germany
    • 9.3.2 UK
    • 9.3.3 Italy
    • 9.3.4 France
    • 9.3.5 Spain
    • 9.3.6 Rest of Europe
  • 9.4 Asia Pacific
    • 9.4.1 Japan
    • 9.4.2 China
    • 9.4.3 India
    • 9.4.4 Australia
    • 9.4.5 New Zealand
    • 9.4.6 South Korea
    • 9.4.7 Rest of Asia Pacific
  • 9.5 South America
    • 9.5.1 Argentina
    • 9.5.2 Brazil
    • 9.5.3 Chile
    • 9.5.4 Rest of South America
  • 9.6 Middle East & Africa
    • 9.6.1 Saudi Arabia
    • 9.6.2 UAE
    • 9.6.3 Qatar
    • 9.6.4 South Africa
    • 9.6.5 Rest of Middle East & Africa

10 Key Developments

  • 10.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 10.2 Acquisitions & Mergers
  • 10.3 New Product Launch
  • 10.4 Expansions
  • 10.5 Other Key Strategies

11 Company Profiling

  • 11.1 AGCO Corporation
  • 11.2 CNH Industrial
  • 11.3 Raven Industries
  • 11.4 Kubota Corporation
  • 11.5 Trimble Inc.
  • 11.6 CLAAS Group
  • 11.7 Syngenta
  • 11.8 Yara International
  • 11.9 Ag Leader Technology
  • 11.10 Blue River Technology
  • 11.11 Prospera Technologies
  • 11.12 Robert Bosch GmbH
  • 11.13 Small Robot Company
  • 11.14 Indigo Agriculture
  • 11.15 FarmWise Labs, Inc.
  • 11.16 ecoRobotix

List of Tables

  • Table 1 Global Smart Crop Mobility Market Outlook, By Region (2024-2032) ($MN)
  • Table 2 Global Smart Crop Mobility Market Outlook, By Product (2024-2032) ($MN)
  • Table 3 Global Smart Crop Mobility Market Outlook, By Autonomous Tractors (2024-2032) ($MN)
  • Table 4 Global Smart Crop Mobility Market Outlook, By Robotic Harvesters (2024-2032) ($MN)
  • Table 5 Global Smart Crop Mobility Market Outlook, By Drones/UAVs (2024-2032) ($MN)
  • Table 6 Global Smart Crop Mobility Market Outlook, By Mobile Robots (2024-2032) ($MN)
  • Table 7 Global Smart Crop Mobility Market Outlook, By Seeders and Planters Robots (2024-2032) ($MN)
  • Table 8 Global Smart Crop Mobility Market Outlook, By Weeding Robots (2024-2032) ($MN)
  • Table 9 Global Smart Crop Mobility Market Outlook, By Autonomous Sprayers (2024-2032) ($MN)
  • Table 10 Global Smart Crop Mobility Market Outlook, By Autonomous Irrigation Systems (2024-2032) ($MN)
  • Table 11 Global Smart Crop Mobility Market Outlook, By Variable Rate Technology (VRT) Systems (2024-2032) ($MN)
  • Table 12 Global Smart Crop Mobility Market Outlook, By Other Products (2024-2032) ($MN)
  • Table 13 Global Smart Crop Mobility Market Outlook, By Farm Size (2024-2032) ($MN)
  • Table 14 Global Smart Crop Mobility Market Outlook, By Small Farms (2024-2032) ($MN)
  • Table 15 Global Smart Crop Mobility Market Outlook, By Medium Farms (2024-2032) ($MN)
  • Table 16 Global Smart Crop Mobility Market Outlook, By Large Farms (2024-2032) ($MN)
  • Table 17 Global Smart Crop Mobility Market Outlook, By Application (2024-2032) ($MN)
  • Table 18 Global Smart Crop Mobility Market Outlook, By Field Crops (2024-2032) ($MN)
  • Table 19 Global Smart Crop Mobility Market Outlook, By Orchards and Vineyards (2024-2032) ($MN)
  • Table 20 Global Smart Crop Mobility Market Outlook, By Greenhouse Operations (2024-2032) ($MN)
  • Table 21 Global Smart Crop Mobility Market Outlook, By Specialty Crops (2024-2032) ($MN)
  • Table 22 Global Smart Crop Mobility Market Outlook, By Other Applications (2024-2032) ($MN)
  • Table 23 Global Smart Crop Mobility Market Outlook, By End User (2024-2032) ($MN)
  • Table 24 Global Smart Crop Mobility Market Outlook, By Farmers (2024-2032) ($MN)
  • Table 25 Global Smart Crop Mobility Market Outlook, By Agricultural Cooperatives (2024-2032) ($MN)
  • Table 26 Global Smart Crop Mobility Market Outlook, By Government Agencies (2024-2032) ($MN)
  • Table 27 Global Smart Crop Mobility Market Outlook, By Research Institutions (2024-2032) ($MN)
  • Table 28 Global Smart Crop Mobility Market Outlook, By Agribusiness Companies (2024-2032) ($MN)
  • Table 29 Global Smart Crop Mobility Market Outlook, By Other End Users (2024-2032) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.