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市场调查报告书
商品编码
1494890

2030 年智慧农业市场预测：按类型、产品、应用、最终用户和地区进行的全球分析

Smart Agriculture Market Forecasts to 2030 - Global Analysis By Type (Precision Farming, Livestock Monitoring, Precision Aquaculture, Precision Forestry, Smart Greenhouse and Other Types), Offering, 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预测，2024年全球智慧农业市场规模将达262亿美元，预计2030年将达到628亿美元，预测期内复合年增长率为15.7%。

智慧农业，又称精密农业，是指利用物联网、人工智慧、无人机、巨量资料等先进技术来优化农业作业。这种方法旨在提高作物产量、减少资源消耗并改善农场的整体管理。透过利用即时资料和自动化，智慧农业使农民能够做出明智的决策、监测作物健康状况并有效管理水和肥料等资源，最终实现永续和高产量的农业。

总部位于义大利、为永续农业提供资讯和支持的联合国机构粮食及农业组织发布的一份报告称，2021年，53个国家将有近1.93亿人面临严重的粮食不安全状况。 CH阶段3-5），增加超过4000万。

对食品的需求不断增长

由于人口快速成长和都市化加快，市场对食品的需求大幅增加。物联网、人工智慧和资料分析等先进技术正在融入农业营运中，以提高生产力、减少废弃物并优化资源利用。这些创新对于永续满足不断增长的粮食需求，同时应对气候变迁、耕地有限和水资源短缺等挑战至关重要。因此，对智慧农业解决方案的投资正在加速并推动市场成长。

缺乏基础设施和连结性

由于缺乏基础设施和连接性，市场面临重大挑战。许多农村地区缺乏可靠的互联网接入，这对于即时资料收集和远端监控至关重要。感测器、无人机和自动化系统等基础设施不足阻碍了先进技术的采用。这种数位落差限制了农民利用精密农业技术的能力，降低了效率和生产力。应对这些挑战需要对农村宽频和现代农业基础设施进行大量投资。

提高盈利和永续性

精密农业技术和物联网的整合将推动市场盈利和永续性的提高，以优化资源利用并减少浪费。先进的资料分析和人工智慧为农民提供可行的见解，以提高作物产量并降低营运成本。土壤健康监测和高效水资源管理等永续实践进一步提高生产力，同时最大限度地减少对环境的影响。

农民知识和技能有限

市场的一个主要挑战是农民的知识和技能有限。许多农民不熟悉先进技术和资料主导的耕作方法，导致采用和使用不理想。这种知识差距阻碍了精密农业、物联网设备和资料分析的有效实施，导致生产力和永续性下降。透过教育、培训和可用资源来弥补这一差距对于最大限度地发挥智慧农业的效益和推动该行业的创新至关重要。

COVID-19 的影响：

COVID-19 大流行对智慧农业市场产生了重大影响，由于劳动力短缺和供应链中断，加速了先进技术的采用。农民越来越多地转向自动化、物联网和人工智慧主导的解决方案，以保持生产力并确保粮食安全。这项变革凸显了数位工具在管理农业流程中的重要性，并鼓励了对智慧农业技术的投资。儘管最初遇到了挫折，但这场危机最终凸显了该行业的韧性和创新主导成长的潜力。

预计在预测期内，饲养管理产业将是最大的

在预测期内，饲养管理行业预计将是最大的。这些创新透过提供精确的饲餵计划和营养管理来提高效率、减少浪费并提高产量。主要企业提供自动饲餵系统、用于即时监控的传感器以及用于资料主导决策的软体。随着永续性和生产力成为首要任务，由于全球对智慧农业解决方案的需求不断增长，该市场预计将大幅增长。

水产养殖业预计在预测期内复合年增长率最高

预计水产养殖业在预测期内复合年增长率最高。水产养殖是智慧农业的关键组成部分，利用先进技术实现永续鱼贝类养殖。物联网设备、自动饲餵系统和水质感测器等创新提高了效率和生产力。智慧水产养殖透过准确监测和管理资源，最大限度地减少对环境的影响，并确保水生生物的最佳条件。

比最大的地区

由于技术进步和精密农业技术的日益采用，预计北美在预测期内将占据最大的市场占有率。物联网感测器、无人机和人工智慧主导的分析等创新正在彻底改变农业方法，提高生产力并优化资源利用。此外，促进永续农业实践的政府积极倡议正在进一步推动市场扩张。

复合年增长率最高的地区：

预计亚太地区在预测期内将维持最高的复合年增长率。各国正在采用物联网 (IoT)、精密农业、无人机和基于人工智慧的分析等技术进步来优化农业营运、提高作物产量并降低营运成本。人口快速成长给农业生产力带来越来越大的压力，以满足日益增长的粮食需求。智慧农业技术帮助农民在有效利用资源的同时最大限度地提高产量。

免费客製化服务：

订阅此报告的客户可以存取以下免费自订选项之一：

  • 公司简介
    • 其他市场参与者的综合分析（最多 3 家公司）
    • 主要企业SWOT分析（最多3家企业）
  • 区域分割
    • 根据客户兴趣对主要国家的市场估计、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
  • 调查范围
  • 调查方法
    • 资料探勘
    • 资料分析
    • 资料检验
    • 研究途径
  • 研究资讯来源
    • 主要研究资讯来源
    • 二次研究资讯来源
    • 先决条件

第三章市场趋势分析

  • 促进因素
  • 抑制因素
  • 机会
  • 威胁
  • 应用分析
  • 最终用户分析
  • 新兴市场
  • COVID-19 的影响

第4章波特五力分析

  • 供应商的议价能力
  • 买方议价能力
  • 替代品的威胁
  • 新进入者的威胁
  • 竞争公司之间的敌对关係

第五章全球智慧农业市场：依类型

  • 精密农业
  • 牲畜监测
  • 精准水产养殖
  • 精准林业
  • 智慧温室
  • 其他类型

第六章全球智慧农业市场：透过提供

  • 软体
    • 人工智慧和资料分析
    • 农场管理软体
  • 服务
    • 系统整合和咨询服务
    • 管理服务
    • 支援专业服务
    • 维护和支援服务
  • 硬体
    • 展示
    • 土壤感测器
    • 灌溉控制器
    • 无人机

第七章全球智慧农业市场：依应用分类

  • 库存控制
  • 农场劳动力管理
  • 饲养管理
  • 牛奶收穫管理
  • 养殖管理
  • 遗传学和育苗
  • 产量监测和收穫
  • 其他用途

第八章全球智慧农业市场：依最终用户分类

  • 园艺
  • 农业合作社
  • 农业产业
  • 研究机构
  • 水产养殖
  • 其他最终用户

第九章全球智慧农业市场：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/非洲
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 卡达
    • 南非
    • 其他中东/非洲

第10章 主要进展

  • 合约、伙伴关係、协作和合资企业
  • 收购和合併
  • 新产品发布
  • 业务扩展
  • 其他关键策略

第十一章 公司概况

  • Trimble Inc.
  • Deere & Com
  • Topcon Positioning Systems
  • AKVA Group
  • Afimilk Ltd.
  • CLAAS KGaA mbH
  • Allflex Livestock Intelligence
  • Farmers Edge Inc
  • Heliospectra AB
  • AGCO Corporation
  • Granular, Inc.
  • Grownetics, Inc.
  • Raven Industries
  • Innovasea Systems Inc.
  • GEA Group Aktiengesellschaft
Product Code: SMRC26410

According to Stratistics MRC, the Global Smart Agriculture Market is accounted for $26.2 billion in 2024 and is expected to reach $62.8 billion by 2030 growing at a CAGR of 15.7% during the forecast period. Smart agriculture, also known as precision agriculture, refers to the use of advanced technologies such as IoT, AI, drones, and big data to optimize farming practices. This approach aims to enhance crop yield, reduce resource consumption, and improve overall farm management. By leveraging real-time data and automation, smart agriculture allows farmers to make informed decisions, monitor crop health, and efficiently manage resources like water and fertilizers, ultimately leading to sustainable and productive farming.

According to a report published by the Food and Agriculture Organization, an Italy-based United Nations agency that provides information and support for sustainable agriculture, in 2021, acute food insecurity at crisis or worse levels was faced by almost 193 million people in 53 countries or territories (IPC/CH Phases 3-5), an increase of over 40 million people.

Market Dynamics:

Driver:

Rising demand for food

The market is witnessing a significant surge in demand for food due to rapid population growth and increasing urbanization. Advanced technologies such as IoT, AI, and data analytics are being integrated into farming practices to enhance productivity, reduce waste, and optimize resource usage. These innovations are crucial in meeting the growing food demand sustainably while addressing challenges like climate change, limited arable land, and water scarcity. Consequently, investments in smart agricultural solutions are accelerating, driving market growth.

Restraint:

Lack of infrastructure and connectivity

The market faces significant challenges due to the lack of infrastructure and connectivity. Many rural areas lack reliable internet access, which is essential for real-time data collection and remote monitoring. Insufficient infrastructure, such as sensors, drones, and automated systems, hinders the adoption of advanced technologies. This digital divide limits farmers' ability to utilize precision farming techniques, reducing efficiency and productivity. Addressing these challenges requires substantial investment in rural broadband and modern agricultural infrastructure.

Opportunity:

Increased profitability and sustainability

Increased profitability and sustainability in the market are driven by precision farming techniques and IoT integration, optimizing resource use and reducing waste. Advanced data analytics and AI provide farmers with actionable insights, enhancing crop yields and lowering operational costs. Sustainable practices, such as soil health monitoring and efficient water management, further boost productivity while minimizing environmental impact.

Threat:

Limited farmer knowledge and skills

In the market, limited farmer knowledge and skills pose significant challenges. Many farmers lack familiarity with advanced technologies and data-driven farming practices, leading to suboptimal adoption and utilization. This knowledge gap hinders effective implementation of precision farming, IoT devices, and data analytics, resulting in reduced productivity and sustainability. Bridging this gap through education, training, and accessible resources is crucial for maximizing the benefits of Smart Agriculture and driving innovation in the sector.

Covid-19 Impact:

The COVID-19 pandemic significantly impacted the Smart Agriculture market, accelerating the adoption of advanced technologies due to labor shortages and supply chain disruptions. Farmers increasingly turned to automation, IoT, and AI-driven solutions to maintain productivity and ensure food security. This shift highlighted the importance of digital tools in managing agricultural processes, boosting investments in smart farming technologies. Despite initial setbacks, the crisis ultimately underscored the sector's resilience and potential for innovation-driven growth.

The feeding management segment is expected to be the largest during the forecast period

The feeding management is expected to be the largest during the forecast period. These innovations enhance efficiency, reduce waste, and improve yields by providing precise feeding schedules and nutrient management. Key players offer automated feeding systems, sensors for real-time monitoring, and software for data-driven decisions. As sustainability and productivity become paramount, this market is poised for significant growth, driven by increasing demand for smart farming solutions globally.

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

The aquaculture segment is expected to have the highest CAGR during the forecast period. Aquaculture is a vital component of smart agriculture, leveraging advanced technologies for sustainable fish and seafood farming. Innovations such as IoT devices, automated feeding systems, and water quality sensors enhance efficiency and productivity. Smart aquaculture minimizes environmental impact through precise monitoring and management of resources, ensuring optimal conditions for aquatic life.

Region with largest share:

North America is projected to hold the largest market share during the forecast period driven by technological advancements and increasing adoption of precision farming techniques. Innovations such as IoT sensors, drones, and AI-driven analytics are revolutionizing farming practices, enhancing productivity, and optimizing resource utilization. Moreover, favorable government initiatives promoting sustainable agriculture practices further propel market expansion.

Region with highest CAGR:

Asia Pacific is projected to hold the highest CAGR over the forecast period. The countries are embracing technological advancements such as Internet of Things (IoT), precision agriculture, drones, and AI-based analytics to optimize farming practices, improve crop yield, and reduce operational costs. With a rapidly growing population, there is increasing pressure on agricultural productivity to meet the rising food demand. Smart agriculture technologies help farmers maximize their yield while efficiently utilizing resources.

Key players in the market

Some of the key players in Smart Agriculture market include Trimble Inc., Deere & Com, Topcon Positioning Systems, AKVA Group, Afimilk Ltd., CLAAS KGaA mbH, Allflex Livestock Intelligence, Farmers Edge Inc, Heliospectra AB, AGCO Corporation, Granular, Inc., Grownetics, Inc., Raven Industries, Innovasea Systems Inc. and GEA Group Aktiengesellschaft.

Key Developments:

In July 2023, Deere & Company announced the acquisition of Smart Apply, Inc. The company planned to leverage Smart Apply's precision spraying to assist growers in addressing the challenges associated with input costs, labor, regulatory requirements, and environmental goals.

In April 2023, AGCO Corporation announced a strategic collaboration with Hexagon, for the expansion of AGCO's factory-fit and aftermarket guidance offerings. The new guidance system was planned to be commercialized as Fuse Guide on Valtra and Massey Ferguson tractors.

Types Covered:

  • Precision Farming
  • Livestock Monitoring
  • Precision Aquaculture
  • Precision Forestry
  • Smart Greenhouse
  • Other Types

Offerings Covered:

  • Software
  • Services
  • Hardware

Applications Covered:

  • Inventory Management
  • Farm Labor Management
  • Feeding Management
  • Milk Harvesting Management
  • Breeding Management
  • Genetics and Nurseries
  • Yield Monitoring and Harvesting
  • Other Applications

End Users Covered:

  • Horticulture
  • Agricultural Cooperatives
  • Agribusinesses
  • Research Institutions
  • Aquaculture
  • 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 2022, 2023, 2024, 2026, and 2030
  • 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 Application Analysis
  • 3.7 End User Analysis
  • 3.8 Emerging Markets
  • 3.9 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 Agriculture Market, By Type

  • 5.1 Introduction
  • 5.2 Precision Farming
  • 5.3 Livestock Monitoring
  • 5.4 Precision Aquaculture
  • 5.5 Precision Forestry
  • 5.6 Smart Greenhouse
  • 5.7 Other Types

6 Global Smart Agriculture Market, By Offering

  • 6.1 Introduction
  • 6.2 Software
    • 6.2.1 AI and Data Analytics
    • 6.2.2 Farm Management Software
  • 6.3 Services
    • 6.3.1 System Integration and Consulting Services
    • 6.3.2 Managed Services
    • 6.3.3 Assisted Professional Services
    • 6.3.4 Maintenance and Support Services
  • 6.4 Hardware
    • 6.4.1 Displays
    • 6.4.2 Soil Sensors
    • 6.4.3 Irrigation Controllers
    • 6.4.4 Drones

7 Global Smart Agriculture Market, By Application

  • 7.1 Introduction
  • 7.2 Inventory Management
  • 7.3 Farm Labor Management
  • 7.4 Feeding Management
  • 7.5 Milk Harvesting Management
  • 7.6 Breeding Management
  • 7.7 Genetics and Nurseries
  • 7.8 Yield Monitoring and Harvesting
  • 7.9 Other Applications

8 Global Smart Agriculture Market, By End User

  • 8.1 Introduction
  • 8.2 Horticulture
  • 8.3 Agricultural Cooperatives
  • 8.4 Agribusinesses
  • 8.5 Research Institutions
  • 8.6 Aquaculture
  • 8.7 Other End Users

9 Global Smart Agriculture 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 Trimble Inc.
  • 11.2 Deere & Com
  • 11.3 Topcon Positioning Systems
  • 11.4 AKVA Group
  • 11.5 Afimilk Ltd.
  • 11.6 CLAAS KGaA mbH
  • 11.7 Allflex Livestock Intelligence
  • 11.8 Farmers Edge Inc
  • 11.9 Heliospectra AB
  • 11.10 AGCO Corporation
  • 11.11 Granular, Inc.
  • 11.12 Grownetics, Inc.
  • 11.13 Raven Industries
  • 11.14 Innovasea Systems Inc.
  • 11.15 GEA Group Aktiengesellschaft

List of Tables

  • Table 1 Global Smart Agriculture Market Outlook, By Region (2022-2030) ($MN)
  • Table 2 Global Smart Agriculture Market Outlook, By Type (2022-2030) ($MN)
  • Table 3 Global Smart Agriculture Market Outlook, By Precision Farming (2022-2030) ($MN)
  • Table 4 Global Smart Agriculture Market Outlook, By Livestock Monitoring (2022-2030) ($MN)
  • Table 5 Global Smart Agriculture Market Outlook, By Precision Aquaculture (2022-2030) ($MN)
  • Table 6 Global Smart Agriculture Market Outlook, By Precision Forestry (2022-2030) ($MN)
  • Table 7 Global Smart Agriculture Market Outlook, By Smart Greenhouse (2022-2030) ($MN)
  • Table 8 Global Smart Agriculture Market Outlook, By Other Types (2022-2030) ($MN)
  • Table 9 Global Smart Agriculture Market Outlook, By Offering (2022-2030) ($MN)
  • Table 10 Global Smart Agriculture Market Outlook, By Software (2022-2030) ($MN)
  • Table 11 Global Smart Agriculture Market Outlook, By AI and Data Analytics (2022-2030) ($MN)
  • Table 12 Global Smart Agriculture Market Outlook, By Farm Management Software (2022-2030) ($MN)
  • Table 13 Global Smart Agriculture Market Outlook, By Services (2022-2030) ($MN)
  • Table 14 Global Smart Agriculture Market Outlook, By System Integration and Consulting Services (2022-2030) ($MN)
  • Table 15 Global Smart Agriculture Market Outlook, By Managed Services (2022-2030) ($MN)
  • Table 16 Global Smart Agriculture Market Outlook, By Assisted Professional Services (2022-2030) ($MN)
  • Table 17 Global Smart Agriculture Market Outlook, By Maintenance and Support Services (2022-2030) ($MN)
  • Table 18 Global Smart Agriculture Market Outlook, By Hardware (2022-2030) ($MN)
  • Table 19 Global Smart Agriculture Market Outlook, By Displays (2022-2030) ($MN)
  • Table 20 Global Smart Agriculture Market Outlook, By Soil Sensors (2022-2030) ($MN)
  • Table 21 Global Smart Agriculture Market Outlook, By Irrigation Controllers (2022-2030) ($MN)
  • Table 22 Global Smart Agriculture Market Outlook, By Drones (2022-2030) ($MN)
  • Table 23 Global Smart Agriculture Market Outlook, By Application (2022-2030) ($MN)
  • Table 24 Global Smart Agriculture Market Outlook, By Inventory Management (2022-2030) ($MN)
  • Table 25 Global Smart Agriculture Market Outlook, By Farm Labor Management (2022-2030) ($MN)
  • Table 26 Global Smart Agriculture Market Outlook, By Feeding Management (2022-2030) ($MN)
  • Table 27 Global Smart Agriculture Market Outlook, By Milk Harvesting Management (2022-2030) ($MN)
  • Table 28 Global Smart Agriculture Market Outlook, By Breeding Management (2022-2030) ($MN)
  • Table 29 Global Smart Agriculture Market Outlook, By Genetics and Nurseries (2022-2030) ($MN)
  • Table 30 Global Smart Agriculture Market Outlook, By Yield Monitoring and Harvesting (2022-2030) ($MN)
  • Table 31 Global Smart Agriculture Market Outlook, By Other Applications (2022-2030) ($MN)
  • Table 32 Global Smart Agriculture Market Outlook, By End User (2022-2030) ($MN)
  • Table 33 Global Smart Agriculture Market Outlook, By Horticulture (2022-2030) ($MN)
  • Table 34 Global Smart Agriculture Market Outlook, By Agricultural Cooperatives (2022-2030) ($MN)
  • Table 35 Global Smart Agriculture Market Outlook, By Agribusinesses (2022-2030) ($MN)
  • Table 36 Global Smart Agriculture Market Outlook, By Research Institutions (2022-2030) ($MN)
  • Table 37 Global Smart Agriculture Market Outlook, By Aquaculture (2022-2030) ($MN)
  • Table 38 Global Smart Agriculture Market Outlook, By Other End Users (2022-2030) ($MN)

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