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1494890

2030 年智慧農業市場預測：按類型、產品、應用、最終用戶和地區進行的全球分析

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個工作天內

價格

根據Stratistics MRC預測，2024年全球智慧農業市場規模將達262億美元，預計2030年將達到628億美元，預測期內複合年成長率為15.7%。

智慧農業，又稱精密農業，是指利用物聯網、人工智慧、無人機、巨量資料等先進技術來最佳化農業作業。這種方法旨在提高作物產量、減少資源消耗並改善農場的整體管理。透過利用即時資料和自動化，智慧農業使農民能夠做出明智的決策、監測作物健康狀況並有效管理水和肥料等資源，最終實現永續和高產量的農業。

總部位於義大利、為永續農業提供資訊和支持的聯合國機構糧食及農業組織發布的一份報告稱，2021年，53個國家將有近1.93億人面臨嚴重的糧食不安全狀況。 CH階段3-5），增加超過4000萬。

對食品的需求不斷成長

由於人口快速成長和都市化加快，市場對食品的需求大幅增加。物聯網、人工智慧和資料分析等先進技術正在融入農業營運中，以提高生產力、減少廢棄物並最佳化資源利用。這些創新對於永續滿足不斷成長的糧食需求，同時應對氣候變遷、耕地有限和水資源短缺等挑戰至關重要。因此，對智慧農業解決方案的投資正在加速並推動市場成長。

缺乏基礎設施和連結性

由於缺乏基礎設施和連接性，市場面臨重大挑戰。許多農村地區缺乏可靠的網際網路接入，這對於即時資料收集和遠端監控至關重要。感測器、無人機和自動化系統等基礎設施不足阻礙了先進技術的採用。這種數位落差限制了農民利用精密農業技術的能力，降低了效率和生產力。應對這些挑戰需要對農村寬頻和現代農業基礎設施進行大量投資。

提高盈利和永續性

精密農業技術和物聯網的整合將推動市場盈利和永續性的提高，以最佳化資源利用並減少浪費。先進的資料分析和人工智慧為農民提供可行的見解，以提高作物產量並降低營運成本。土壤健康監測和高效水資源管理等永續實踐進一步提高生產力，同時最大限度地減少對環境的影響。

農民知識和技能有限

市場的一個主要挑戰是農民的知識和技能有限。許多農民不熟悉先進技術和資料主導的耕作方法，導致採用和使用不理想。這種知識差距阻礙了精密農業、物聯網設備和資料分析的有效實施，導致生產力和永續性下降。透過教育、培訓和可用資源來彌補這一差距對於最大限度地發揮智慧農業的效益和推動該行業的創新至關重要。

COVID-19 的影響：

COVID-19 大流行對智慧農業市場產生了重大影響，由於勞動力短缺和供應鏈中斷，加速了先進技術的採用。農民擴大轉向自動化、物聯網和人工智慧主導的解決方案，以保持生產力並確保糧食安全。這項變革凸顯了數位工具在管理農業流程中的重要性，並鼓勵了對智慧農業技術的投資。儘管最初遇到了挫折，但這場危機最終凸顯了該行業的韌性和創新主導成長的潛力。

預計在預測期內，飼養管理產業將是最大的

在預測期內，飼養管理行業預計將是最大的。這些創新透過提供精確的飼餵計劃和營養管理來提高效率、減少浪費並提高產量。主要企業提供自動飼餵系統、用於即時監控的感測器以及用於資料主導決策的軟體。隨著永續性和生產力成為首要任務，由於全球對智慧農業解決方案的需求不斷成長，該市場預計將大幅成長。

水產養殖業預計在預測期內複合年成長率最高

預計水產養殖業在預測期內複合年成長率最高。水產養殖是智慧農業的關鍵組成部分，利用先進技術實現永續魚貝類養殖。物聯網設備、自動飼餵系統和水質感測器等創新提高了效率和生產力。智慧水產養殖透過準確監測和管理資源，最大限度地減少對環境的影響，並確保水生生物的最佳條件。

比最大的地區

由於技術進步和精密農業技術的日益採用，預計北美在預測期內將佔據最大的市場佔有率。物聯網感測器、無人機和人工智慧主導的分析等創新正在徹底改變農業方法，提高生產力並最佳化資源利用。此外，促進永續農業實踐的政府積極舉措正在進一步推動市場擴張。

複合年成長率最高的地區：

預計亞太地區在預測期內將維持最高的複合年成長率。各國正在採用物聯網 (IoT)、精密農業、無人機和基於人工智慧的分析等技術進步來最佳化農業營運、提高作物產量並降低營運成本。人口快速成長給農業生產力帶來越來越大的壓力，以滿足日益成長的糧食需求。智慧農業技術幫助農民在有效利用資源的同時最大限度地提高產量。

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    • 根據產品系列、地理分佈和策略聯盟對主要企業基準化分析

目錄

第1章執行摘要

第2章 前言

  • 概述
  • 相關利益者
  • 調查範圍
  • 調查方法
    • 資料探勘
    • 資料分析
    • 資料檢驗
    • 研究途徑
  • 研究資訊來源
    • 主要研究資訊來源
    • 二次研究資訊來源
    • 先決條件

第3章市場趨勢分析

  • 促進因素
  • 抑制因素
  • 機會
  • 威脅
  • 應用分析
  • 最終用戶分析
  • 新興市場
  • COVID-19 的影響

第4章波特五力分析

  • 供應商的議價能力
  • 買方議價能力
  • 替代品的威脅
  • 新進入者的威脅
  • 競爭公司之間的敵對關係

第5章全球智慧農業市場：依類型

  • 精密農業
  • 牲畜監測
  • 精準水產養殖
  • 精準林業
  • 智慧溫室
  • 其他類型

第6章全球智慧農業市場：透過提供

  • 軟體
    • 人工智慧和資料分析
    • 農場管理軟體
  • 服務
    • 系統整合和諮詢服務
    • 管理服務
    • 支援專業服務
    • 維護和支援服務
  • 硬體
    • 展示
    • 土壤感測器
    • 灌溉控制器
    • 無人機

第7章全球智慧農業市場：依應用分類

  • 庫存控制
  • 農場勞動力管理
  • 飼養管理
  • 牛奶收穫管理
  • 養殖管理
  • 遺傳學和育苗
  • 產量監測和收穫
  • 其他用途

第8章全球智慧農業市場：依最終用戶分類

  • 園藝
  • 農業合作社
  • 農業產業
  • 研究機構
  • 水產養殖
  • 其他最終用戶

第9章全球智慧農業市場：按地區

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 義大利
    • 法國
    • 西班牙
    • 其他歐洲國家
  • 亞太地區
    • 日本
    • 中國
    • 印度
    • 澳洲
    • 紐西蘭
    • 韓國
    • 其他亞太地區
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地區
  • 中東/非洲
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 卡達
    • 南非
    • 其他中東/非洲

第10章 主要進展

  • 合約、夥伴關係、協作和合資企業
  • 收購和合併
  • 新產品發布
  • 業務擴展
  • 其他關鍵策略

第11章 公司概況

  • 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.