スマート農園管理システム市場- 世界の産業規模、シェア、動向、機会、予測、タイプ別、コンポーネント別、作物別、地域別、競合別セグメント、2020-2030年

スマート農園管理システムの世界市場規模は2024年に17億4,000万米ドルで、予測期間中のCAGRは5.06%で2030年には23億4,000万米ドルに達すると予測されています。

スマート農園管理システムは、プランテーションの管理方法に革命をもたらし、生産性の向上とオペレーションの最適化につながる最先端技術ソリューションです。これらの革新的なシステムは、IoT（モノのインターネット）、AI（人工知能）、ビッグデータなどの先進技術の力を活用し、植物の健康状態を綿密に監視し、天候を正確に予測し、灌漑や害虫駆除を効率的に管理し、情報に基づいた意思決定のための貴重な洞察を提供します。リアルタイムのデータとアナリティクスを活用することで、これらのシステムは農家にデータ主導の選択を可能にし、作物の収穫量を増やし、農産物の品質を向上させ、持続可能な農業を促進します。包括的なモニタリングとインテリジェントな自動化により、スマート農園管理システムは資源配分の改善、無駄の削減、全体的なオペレーションの卓越性への道を開きます。

市場促進要因

技術進歩の増加

主な市場課題

初期導入コストの高さ

熟練労働者の不足

主要市場動向

病害虫管理ニーズの高まり

目次

第1章 概要

第2章 調査手法

第3章 エグゼクティブサマリー

第4章 世界のスマート農園管理システム市場展望

• 市場規模・予測
  • 金額別
• 市場シェア・予測
  • タイプ別（灌漑システム、植物成長監視システム、収穫システム）
  • コンポーネント別（ハードウェアとソフトウェア）
  • 作物別（コーヒー、油糧種子、サトウキビ、綿花）
  • 地域別
  • 企業別（2024）
• 市場マップ

第5章 北米のスマート農園管理システム市場展望

• 市場規模・予測
  • 金額別
• 市場シェア・予測
  • タイプ別
  • コンポーネント別
  • 作物別
  • 国別
• 北米：国別分析
  • 米国
  • カナダ
  • メキシコ

第6章 欧州のスマート農園管理システム市場展望

• 市場規模・予測
• 市場シェア・予測
• 欧州：国別分析
  • ドイツ
  • 英国
  • イタリア
  • フランス
  • スペイン

第7章 アジア太平洋地域のスマート農園管理システム市場展望

• 市場規模・予測
• 市場シェア・予測
• アジア太平洋地域：国別分析
  • 中国
  • インド
  • 日本
  • 韓国
  • オーストラリア

第8章 南米のスマート農園管理システム市場展望

• 市場規模・予測
• 市場シェア・予測
• 南米：国別分析
  • ブラジル
  • アルゼンチン
  • コロンビア

第9章 中東・アフリカのスマート農園管理システム市場展望

• 市場規模・予測
• 市場シェア・予測
• 中東・アフリカ：国別分析
  • 南アフリカ
  • サウジアラビア
  • アラブ首長国連邦

第10章 市場力学

• 促進要因
• 課題

第11章 市場動向と発展

• 最近の動向
• 合併と買収
• 製品上市

第12章 世界のスマート農園管理システム市場：SWOT分析

第13章 ポーターのファイブフォース分析

• 業界内の競合
• 新規参入の可能性
• サプライヤーの力
• 顧客の力
• 代替品の脅威

第14章 競合情勢

• Robert Bosch GmBH
• John Deere & Company
• Netafim
• Semiosbio Technologies
• Tevatronics
• Agroweblab Co., Ltd（awl）
• Synelixis Solutions
• WaterBit
• DTN
• Jain Irrigation Systems Ltd.

第15章 戦略的提言

第16章 調査会社について・免責事項

Global Smart Plantation Management Systems Market was valued at USD 1.74 Billion in 2024 and is expected to reach USD 2.34 Billion by 2030 with a CAGR of 5.06% during the forecast period. Smart Plantation Management Systems are cutting-edge technology solutions that revolutionize the way plantations are managed, leading to enhanced productivity and optimized operations. These innovative systems harness the power of advanced technologies such as IoT (Internet of Things), AI (Artificial Intelligence), and Big Data to meticulously monitor plant health, accurately predict weather conditions, efficiently manage irrigation and pest control, and provide invaluable insights for informed decision-making. By leveraging real-time data and analytics, these systems empower farmers to make data-driven choices, enabling them to increase crop yield, improve the quality of their produce, and promote sustainable farming practices. With comprehensive monitoring and intelligent automation, Smart Plantation Management Systems pave the way for improved resource allocation, reduced waste, and overall operational excellence.

Key Market Drivers

Increasing Technological Advancements

The surge in technological advancements is anticipated to bolster the global demand for Smart Plantation Management Systems. These systems leverage cutting-edge technologies like the Internet of Things (IoT), Artificial Intelligence (AI), and data analytics to revolutionize the agricultural sector. They enable real-time monitoring of crop health, precise weather forecasting, and efficient utilization of resources, thereby increasing yield and reducing operational costs. As technology continues to advance, we can expect these systems to become even smarter, with enhanced capabilities for predictive analytics and automation. Furthermore, the growing urgency to combat climate change and achieve sustainability goals is likely to drive governments and agricultural bodies worldwide to adopt these technology-based systems. The integration of these advanced systems on a global scale can significantly improve food security, meet the soaring food demand, and contribute to economic growth. As such, technological progress is not just expected to increase the demand for Smart Plantation Management Systems but to fundamentally transform the agricultural landscape around the world.

Key Market Challenges

High Initial Implementation Cost

The high initial implementation cost of Smart Plantation Management Systems (SPMS) is projected to negatively impact their global demand. The upfront expenditures associated with these systems, including investment in advanced IoT devices, software, and infrastructure, place a significant financial burden on businesses, particularly smaller enterprises and those in developing regions. Moreover, the initial cost doesn't account for ongoing costs such as system maintenance, upgrades, and the necessary training for employees to effectively use this technology. The total cost of ownership can therefore be prohibitively high. This reality may dissuade potential users from adopting SPMS despite the long-term benefits it offers such as increased productivity and resource efficiency. As such, cost remains a pivotal factor influencing the global uptake of SPMS. Despite the effectiveness of these systems in improving plantation management, the high initial implementation cost could substantially decelerate their global demand.

Lack of Skilled Labor

The global demand for Smart Plantation Management Systems (SPMS) is projected to face significant impediments, largely due to the prevalent lack of skilled labor. SPMS is a technologically advanced solution that optimizes the productivity and efficiency of agricultural operations through automation and real-time monitoring. However, the integration and operation of these systems require a workforce with specialized skills in technology and data analysis. The current global labor market, unfortunately, falls short in this regard. Many regions, particularly developing economies, are experiencing a widening skills gap in the field of advanced agricultural technology. This scarcity of adequately trained personnel renders the adoption and effective utilization of SPMS a challenging endeavor. Consequently, this labor deficit is anticipated to suppress the global demand for SPMS, as potential adopters may be discouraged by the substantial training costs, time investment, and the potential for operational errors. The potential for these deterrents underscores the critical need for concerted efforts in skill development and training to ensure the successful global adoption of SPMS.

Key Market Trends

Rise in Need for Pest & Disease Management

The global rise in the need for Pest and Disease Management is projected to significantly drive the demand for Smart Plantation Management Systems. These systems are becoming increasingly essential in the agriculture sector, primarily due to their ability to monitor and control pests and diseases in real-time, thereby ensuring the health and productivity of crops. Uncontrolled pest populations and diseases can severely impact crop yield and quality, resulting in substantial economic losses for farmers. In this context, the Smart Plantation Management Systems serve as a vital tool, offering innovative solutions such as remote sensing, precision irrigation, and data analytics. These features not only help in early detection of pest infestations and diseases but also facilitate timely intervention, minimizing potential damage. Moreover, these systems are equipped with predictive analytics that can forecast pest and disease patterns based on various factors such as weather conditions and crop growth stages. This aids in proactive management, enabling farmers to take preventive measures rather than dealing with the aftermath of an outbreak. With the increasing global population and the consequent rise in food demand, there is a growing emphasis on maximizing agricultural productivity. In light of these factors, the demand for Smart Plantation Management Systems is expected to surge globally, offering a promising solution to the escalating need for effective pest and disease management in agriculture.

Key Market Players

Robert Bosch GmBH

John Deere & Company

Netafim

Semiosbio Technologies

Tevatronics

Agroweblab Co., Ltd (awl)

Synelixis Solutions

WaterBit

DTN

Jain Irrigation Systems Ltd.

Report Scope:

In this report, the Global Smart Plantation Management Systems Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:

Smart Plantation Management Systems Market, By Type:

• Irrigation Systems
• Plant Growth Monitoring Systems
• Harvesting Systems

Smart Plantation Management Systems Market, By Component:

• Hardware
• Software

Smart Plantation Management Systems Market, By Crop:

• Coffee
• Oilseeds
• Sugarcane
• Cotton

Smart Plantation Management Systems Market, By Region:

• North America
  • United States
  • Canada
  • Mexico
• Europe
  • France
  • United Kingdom
  • Italy
  • Germany
  • Spain
• Asia-Pacific
  • China
  • India
  • Japan
  • Australia
  • South Korea
• South America
  • Brazil
  • Argentina
  • Colombia
• Middle East & Africa
  • South Africa
  • Saudi Arabia
  • UAE

Competitive Landscape

Company Profiles: Detailed analysis of the major companies present in the Global Smart Plantation Management Systems Market.

Available Customizations:

Global Smart Plantation Management Systems market report with the given market data, TechSci Research offers customizations according to a company's specific needs. The following customization options are available for the report:

Company Information

Detailed analysis and profiling of additional market players (up to five).

Table of Contents

1. Product Overview

• 1.1. Market Definition
• 1.2. Scope of the Market
  • 1.2.1. Markets Covered
  • 1.2.2. Years Considered for Study
  • 1.2.3. Key Market Segmentations

2. Research Methodology

• 2.1. Objective of the Study
• 2.2. Baseline Methodology
• 2.3. Key Industry Partners
• 2.4. Major Association and Secondary Sources
• 2.5. Forecasting Methodology
• 2.6. Data Triangulation & Validations
• 2.7. Assumptions and Limitations

3. Executive Summary

• 3.1. Overview of the Market
• 3.2. Overview of Key Market Segmentations
• 3.3. Overview of Key Market Players
• 3.4. Overview of Key Regions/Countries
• 3.5. Overview of Market Drivers, Challenges, Trends
• 3.6. Voice of Customer

4. Global Smart Plantation Management Systems Market Outlook

• 4.1. Market Size & Forecast
  • 4.1.1. By Value
• 4.2. Market Share & Forecast
  • 4.2.1. By Type (Irrigation Systems, Plant Growth Monitoring Systems, and Harvesting Systems)
  • 4.2.2. By Component (Hardware and Software)
  • 4.2.3. By Crop (Coffee, Oilseeds, Sugarcane, and Cotton)
  • 4.2.4. By Region
  • 4.2.5. By Company (2024)
• 4.3. Market Map

5. North America Smart Plantation Management Systems Market Outlook

• 5.1. Market Size & Forecast
  • 5.1.1. By Value
• 5.2. Market Share & Forecast
  • 5.2.1. By Type
  • 5.2.2. By Component
  • 5.2.3. By Crop
  • 5.2.4. By Country
• 5.3. North America: Country Analysis
  • 5.3.1. United States Smart Plantation Management Systems Market Outlook
    • 5.3.1.1. Market Size & Forecast
      • 5.3.1.1.1. By Value
    • 5.3.1.2. Market Share & Forecast
      • 5.3.1.2.1. By Type
      • 5.3.1.2.2. By Component
      • 5.3.1.2.3. By Crop
  • 5.3.2. Canada Smart Plantation Management Systems Market Outlook
    • 5.3.2.1. Market Size & Forecast
      • 5.3.2.1.1. By Value
    • 5.3.2.2. Market Share & Forecast
      • 5.3.2.2.1. By Type
      • 5.3.2.2.2. By Component
      • 5.3.2.2.3. By Crop
  • 5.3.3. Mexico Smart Plantation Management Systems Market Outlook
    • 5.3.3.1. Market Size & Forecast
      • 5.3.3.1.1. By Value
    • 5.3.3.2. Market Share & Forecast
      • 5.3.3.2.1. By Type
      • 5.3.3.2.2. By Component
      • 5.3.3.2.3. By Crop

6. Europe Smart Plantation Management Systems Market Outlook

• 6.1. Market Size & Forecast
  • 6.1.1. By Value
• 6.2. Market Share & Forecast
  • 6.2.1. By Type
  • 6.2.2. By Component
  • 6.2.3. By Crop
  • 6.2.4. By Country
• 6.3. Europe: Country Analysis
  • 6.3.1. Germany Smart Plantation Management Systems Market Outlook
    • 6.3.1.1. Market Size & Forecast
      • 6.3.1.1.1. By Value
    • 6.3.1.2. Market Share & Forecast
      • 6.3.1.2.1. By Type
      • 6.3.1.2.2. By Component
      • 6.3.1.2.3. By Crop
  • 6.3.2. United Kingdom Smart Plantation Management Systems Market Outlook
    • 6.3.2.1. Market Size & Forecast
      • 6.3.2.1.1. By Value
    • 6.3.2.2. Market Share & Forecast
      • 6.3.2.2.1. By Type
      • 6.3.2.2.2. By Component
      • 6.3.2.2.3. By Crop
  • 6.3.3. Italy Smart Plantation Management Systems Market Outlook
    • 6.3.3.1. Market Size & Forecast
      • 6.3.3.1.1. By Value
    • 6.3.3.2. Market Share & Forecasty
      • 6.3.3.2.1. By Type
      • 6.3.3.2.2. By Component
      • 6.3.3.2.3. By Crop
  • 6.3.4. France Smart Plantation Management Systems Market Outlook
    • 6.3.4.1. Market Size & Forecast
      • 6.3.4.1.1. By Value
    • 6.3.4.2. Market Share & Forecast
      • 6.3.4.2.1. By Type
      • 6.3.4.2.2. By Component
      • 6.3.4.2.3. By Crop
  • 6.3.5. Spain Smart Plantation Management Systems Market Outlook
    • 6.3.5.1. Market Size & Forecast
      • 6.3.5.1.1. By Value
    • 6.3.5.2. Market Share & Forecast
      • 6.3.5.2.1. By Type
      • 6.3.5.2.2. By Component
      • 6.3.5.2.3. By Crop

7. Asia-Pacific Smart Plantation Management Systems Market Outlook

• 7.1. Market Size & Forecast
  • 7.1.1. By Value
• 7.2. Market Share & Forecast
  • 7.2.1. By Type
  • 7.2.2. By Component
  • 7.2.3. By Crop
  • 7.2.4. By Country
• 7.3. Asia-Pacific: Country Analysis
  • 7.3.1. China Smart Plantation Management Systems Market Outlook
    • 7.3.1.1. Market Size & Forecast
      • 7.3.1.1.1. By Value
    • 7.3.1.2. Market Share & Forecast
      • 7.3.1.2.1. By Type
      • 7.3.1.2.2. By Component
      • 7.3.1.2.3. By Crop
  • 7.3.2. India Smart Plantation Management Systems Market Outlook
    • 7.3.2.1. Market Size & Forecast
      • 7.3.2.1.1. By Value
    • 7.3.2.2. Market Share & Forecast
      • 7.3.2.2.1. By Type
      • 7.3.2.2.2. By Component
      • 7.3.2.2.3. By Crop
  • 7.3.3. Japan Smart Plantation Management Systems Market Outlook
    • 7.3.3.1. Market Size & Forecast
      • 7.3.3.1.1. By Value
    • 7.3.3.2. Market Share & Forecast
      • 7.3.3.2.1. By Type
      • 7.3.3.2.2. By Component
      • 7.3.3.2.3. By Crop
  • 7.3.4. South Korea Smart Plantation Management Systems Market Outlook
    • 7.3.4.1. Market Size & Forecast
      • 7.3.4.1.1. By Value
    • 7.3.4.2. Market Share & Forecast
      • 7.3.4.2.1. By Type
      • 7.3.4.2.2. By Component
      • 7.3.4.2.3. By Crop
  • 7.3.5. Australia Smart Plantation Management Systems Market Outlook
    • 7.3.5.1. Market Size & Forecast
      • 7.3.5.1.1. By Value
    • 7.3.5.2. Market Share & Forecast
      • 7.3.5.2.1. By Type
      • 7.3.5.2.2. By Component
      • 7.3.5.2.3. By Crop

8. South America Smart Plantation Management Systems Market Outlook

• 8.1. Market Size & Forecast
  • 8.1.1. By Value
• 8.2. Market Share & Forecast
  • 8.2.1. By Type
  • 8.2.2. By Component
  • 8.2.3. By Crop
  • 8.2.4. By Country
• 8.3. South America: Country Analysis
  • 8.3.1. Brazil Smart Plantation Management Systems Market Outlook
    • 8.3.1.1. Market Size & Forecast
      • 8.3.1.1.1. By Value
    • 8.3.1.2. Market Share & Forecast
      • 8.3.1.2.1. By Type
      • 8.3.1.2.2. By Component
      • 8.3.1.2.3. By Crop
  • 8.3.2. Argentina Smart Plantation Management Systems Market Outlook
    • 8.3.2.1. Market Size & Forecast
      • 8.3.2.1.1. By Value
    • 8.3.2.2. Market Share & Forecast
      • 8.3.2.2.1. By Type
      • 8.3.2.2.2. By Component
      • 8.3.2.2.3. By Crop
  • 8.3.3. Colombia Smart Plantation Management Systems Market Outlook
    • 8.3.3.1. Market Size & Forecast
      • 8.3.3.1.1. By Value
    • 8.3.3.2. Market Share & Forecast
      • 8.3.3.2.1. By Type
      • 8.3.3.2.2. By Component
      • 8.3.3.2.3. By Crop

9. Middle East and Africa Smart Plantation Management Systems Market Outlook

• 9.1. Market Size & Forecast
  • 9.1.1. By Value
• 9.2. Market Share & Forecast
  • 9.2.1. By Type
  • 9.2.2. By Component
  • 9.2.3. By Crop
  • 9.2.4. By Country
• 9.3. MEA: Country Analysis
  • 9.3.1. South Africa Smart Plantation Management Systems Market Outlook
    • 9.3.1.1. Market Size & Forecast
      • 9.3.1.1.1. By Value
    • 9.3.1.2. Market Share & Forecast
      • 9.3.1.2.1. By Type
      • 9.3.1.2.2. By Component
      • 9.3.1.2.3. By Crop
  • 9.3.2. Saudi Arabia Smart Plantation Management Systems Market Outlook
    • 9.3.2.1. Market Size & Forecast
      • 9.3.2.1.1. By Value
    • 9.3.2.2. Market Share & Forecast
      • 9.3.2.2.1. By Type
      • 9.3.2.2.2. By Component
      • 9.3.2.2.3. By Crop
  • 9.3.3. UAE Smart Plantation Management Systems Market Outlook
    • 9.3.3.1. Market Size & Forecast
      • 9.3.3.1.1. By Value
    • 9.3.3.2. Market Share & Forecast
      • 9.3.3.2.1. By Type
      • 9.3.3.2.2. By Component
      • 9.3.3.2.3. By Crop

10. Market Dynamics

• 10.1. Drivers
• 10.2. Challenges

11. Market Trends & Developments

• 11.1. Recent Development
• 11.2. Mergers & Acquisitions
• 11.3. Product Launches

12. Global Smart Plantation Management Systems Market: SWOT Analysis

13. Porter's Five Forces Analysis

• 13.1. Competition in the Industry
• 13.2. Potential of New Entrants
• 13.3. Power of Suppliers
• 13.4. Power of Customers
• 13.5. Threat of Substitute Products

14. Competitive Landscape

• 14.1. Robert Bosch GmBH
  • 14.1.1. Business Overview
  • 14.1.2. Company Snapshot
  • 14.1.3. Products & Services
  • 13.1.4. Financials (As Reported)
  • 14.1.5. Recent Developments
  • 14.1.6. Key Personnel Details
  • 14.1.7. SWOT Analysis
• 14.2. John Deere & Company
• 14.3. Netafim
• 14.4. Semiosbio Technologies
• 14.5. Tevatronics
• 14.6. Agroweblab Co., Ltd (awl)
• 14.7. Synelixis Solutions
• 14.8. WaterBit
• 14.9. DTN
• 14.10. Jain Irrigation Systems Ltd.

15. Strategic Recommendations

16. About Us & Disclaimer