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市場調查報告書
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1866412

全球數位農業市場-2025-2030年預測

Global Digital Agriculture Market - Forecasts from 2025 to 2030

出版日期: | 出版商: Knowledge Sourcing Intelligence | 英文 144 Pages | 商品交期: 最快1-2個工作天內

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簡介目錄

全球數位農業市場預計將從 2025 年的 214.05 億美元成長到 2030 年的 359.06 億美元,複合年成長率達到 10.90%。

由於人們對糧食安全的日益關注以及對提高作物產量和健康水平的需求,全球數位農業市場預計將迎來強勁成長。數位農業透過整合物聯網、人工智慧和衛星作物監測等先進技術,最佳化農民和研究人員等相關人員的農業實踐。推動市場成長的因素包括消費者對更健康、更永續的食品和飼料的需求不斷成長,以及減少化學品使用的壓力。對精密農業技術的投資正在增加,從而支持更高的產量和更有效率的資源利用。挑戰包括高昂的實施成本以及發展中地區技術普及程度有限,這可能會阻礙數位農業的廣泛應用。

市場促進因素

人們對作物產量和健康的日益關注是推動這一趨勢的關鍵因素。隨著消費者越來越注重營養和永續的食品選擇,農民面臨著在減少化學品使用的情況下提高產量的壓力,這促使人們對配備GPS的曳引機等物聯網工具的需求不斷成長。這些工具能夠提高播種效率,節省燃料和時間。利用衛星影像進行即時植被指數分析的作物監測系統因其可靠性、數據一致性和覆蓋範圍廣而日益普及。這些系統使農民能夠及早發現作物健康問題並採取糾正措施,從而提高產量和農場的永續性。到2050年,全球人口預計將達到97億(聯合國糧食及農業組織),這進一步推動了全球糧食安全工作,也進一步增強了對數位化農業解決方案的需求。

市場限制

採用物聯網設備和人工智慧系統等先進技術的成本高昂,尤其對於開發中地區的小規模農戶而言,構成了一大障礙。這些地區基礎設施和技術專長的匱乏進一步限制了技術的普及。此外,資料隱私問題以及將多種技術整合到一個統一系統中的複雜性也可能減緩市場成長。

目錄

第1章執行摘要

第2章市場概述

  • 市場概覽
  • 市場定義
  • 分析範圍
  • 市場區隔

第3章 商業情境

  • 市場促進因素
  • 市場限制
  • 市場機遇
  • 波特五力分析
  • 產業價值鏈分析
  • 政策和法規
  • 策略建議

第4章 技術展望

第5章 全球數位農業市場(按類型分類)

  • 介紹
  • 作物監測
  • 人工智慧(AI)
  • 精密農業

6. 全球數位農業市場(按應用分類)

  • 介紹
  • 耕地測繪
  • 作物巡查
  • 天氣追蹤
  • 無人機分析
  • 財務管理
  • 農場庫存管理
  • 其他

7. 全球數位農業市場(按地區分類)

  • 介紹
  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 南美洲
    • 巴西
    • 阿根廷
    • 其他
  • 歐洲
    • 德國
    • 法國
    • 英國
    • 西班牙
    • 其他
  • 中東和非洲
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 其他
  • 亞太地區
    • 中國
    • 印度
    • 日本
    • 韓國
    • 印尼
    • 泰國
    • 其他

第8章 競爭格局與分析

  • 主要企業和策略分析
  • 市佔率分析
  • 企業合併、協議、商業合作
  • 競爭對手儀錶板

第9章:公司簡介

  • IBM Corporation
  • Microsoft Corporation
  • HummingBird Technologies
  • AGCO Corporation
  • Gamaya SA
  • Bayer CropScience AG
  • Deere & Company
  • Easytosee Agtech
  • Small Robot Company
  • Raven Industries

第10章附錄

  • 貨幣
  • 先決條件
  • 基準年和預測年時間表
  • 相關人員的主要收益
  • 分析方法
  • 簡稱
簡介目錄
Product Code: KSI061613955

The Global Digital Agriculture Market is set to soar from USD 21.405 billion in 2025 to USD 35.906 billion by 2030, achieving a 10.90% CAGR.

The global digital agriculture market is set for robust growth, driven by increasing concerns over food security and the need for enhanced crop productivity and health. Digital agriculture integrates advanced technologies, such as IoT, AI, and satellite-based crop monitoring, into cohesive systems to optimize farming practices for stakeholders like farmers and researchers. The market is fueled by rising consumer demand for healthier, sustainable food and animal feed, alongside the pressure to reduce chemical usage. Investments in precision farming technologies are growing, supporting higher yields and efficient resource use. Challenges include high implementation costs and limited technological access in developing regions, which may hinder widespread adoption.

Market Drivers

Rising concerns about crop productivity and health are key drivers, as consumer awareness of nutritional and sustainable food options increases. Farmers face pressure to produce more with fewer chemicals, boosting demand for IoT tools like GPS-enabled tractors, which enhance planting efficiency and conserve fuel and time. Crop monitoring systems, leveraging satellite imagery for real-time vegetation index analysis, are gaining traction for their reliability, consistent data, and wide coverage. These systems enable farmers to detect crop health issues early and take corrective actions, improving yields and farm sustainability. The global push for food security, with a projected population of 9.7 billion by 2050 (FAO), further amplifies the need for digital agriculture solutions.

Market Constraints

High costs of deploying advanced technologies, such as IoT devices and AI systems, pose barriers, particularly for small-scale farmers in developing regions. Limited infrastructure and technical expertise in these areas further restrict adoption. Additionally, data privacy concerns and the complexity of integrating multiple technologies into cohesive systems may slow market growth.

Market Segmentation

The digital agriculture market is segmented by technology, application, and geography. Technologies include IoT, AI, satellite monitoring, and precision farming tools, with IoT and satellite systems leading due to their impact on efficiency. Applications cover crop monitoring, soil management, and yield optimization, with crop monitoring dominating due to its role in real-time farm management. Geographically, the market spans North America, Europe, Asia Pacific, South America, and the Middle East and Africa, with growth driven by regional agricultural priorities and technological adoption.

Geographical Outlook

North America, particularly the United States, is expected to hold a significant market share, driven by substantial investments in precision farming and a robust agricultural sector. The Asia Pacific region is poised for rapid growth, fueled by population growth, rising food demand, and increasing adoption of digital tools in countries like China and India. Europe, South America, and the Middle East and Africa are anticipated to see steady growth as digital infrastructure expands.

Competitive Landscape

Key players are investing in IoT, AI, and satellite-based solutions to enhance farm productivity. Companies focus on partnerships and product innovations to deliver comprehensive digital farming solutions, addressing crop health and yield challenges. Strategic collaborations with technology providers strengthen market positions.

Opportunities and Challenges

Opportunities lie in expanding IoT and AI applications to meet global food security needs and targeting high-growth regions with supportive policies. Challenges include addressing cost barriers and improving technological access in developing markets. Industry experts should prioritize scalable, cost-effective solutions and farmer education to drive the digital agriculture market's growth in a food-security-focused landscape.

Key Benefits of this Report:

  • Insightful Analysis: Gain detailed market insights covering major as well as emerging geographical regions, focusing on customer segments, government policies and socio-economic factors, consumer preferences, industry verticals, and other sub-segments.
  • Competitive Landscape: Understand the strategic maneuvers employed by key players globally to understand possible market penetration with the correct strategy.
  • Market Drivers & Future Trends: Explore the dynamic factors and pivotal market trends and how they will shape future market developments.
  • Actionable Recommendations: Utilize the insights to exercise strategic decisions to uncover new business streams and revenues in a dynamic environment.
  • Caters to a Wide Audience: Beneficial and cost-effective for startups, research institutions, consultants, SMEs, and large enterprises.

What do businesses use our reports for?

Industry and Market Insights, Opportunity Assessment, Product Demand Forecasting, Market Entry Strategy, Geographical Expansion, Capital Investment Decisions, Regulatory Framework & Implications, New Product Development, Competitive Intelligence

Report Coverage:

  • Historical data from 2022 to 2024 & forecast data from 2025 to 2030
  • Growth Opportunities, Challenges, Supply Chain Outlook, Regulatory Framework, and Trend Analysis
  • Competitive Positioning, Strategies, and Market Share Analysis
  • Revenue Growth and Forecast Assessment of segments and regions including countries
  • Company Profiling (Strategies, Products, Financial Information, and Key Developments among others.

The Digital Agriculture Market is analyzed into the following segments:

By Type

  • Crop Monitoring
  • Artificial Intelligence
  • Precision Farming

By Application

  • Field Mapping
  • Crop Scouting
  • Weather Tracking
  • Drone Analytics
  • Financial Management
  • Farm Inventory Management
  • Others

By Geography

  • North America
  • USA
  • Canada
  • Mexico
  • South America
  • Brazil
  • Argentina
  • Others
  • Europe
  • Germany
  • France
  • United Kingdom
  • Spain
  • Others
  • Middle East and Africa
  • Saudi Arabia
  • UAE
  • Others
  • Asia Pacific
  • China
  • India
  • Japan
  • South Korea
  • Indonesia
  • Thailand
  • Others

TABLE OF CONTENTS

1. EXECUTIVE SUMMARY

2. MARKET SNAPSHOT

  • 2.1. Market Overview
  • 2.2. Market Definition
  • 2.3. Scope of the Study
  • 2.4. Market Segmentation

3. BUSINESS LANDSCAPE

  • 3.1. Market Drivers
  • 3.2. Market Restraints
  • 3.3. Market Opportunities
  • 3.4. Porter's Five Forces Analysis
  • 3.5. Industry Value Chain Analysis
  • 3.6. Policies and Regulations
  • 3.7. Strategic Recommendations

4. TECHNOLOGICAL OUTLOOK

5. GLOBAL DIGITAL AGRICULTURE MARKET BY TYPE

  • 5.1. Introduction
  • 5.2. Crop monitoring
  • 5.3. Artificial Intelligence
  • 5.4. Precision farming

6. GLOBAL DIGITAL AGRICULTURE MARKET BY APPLICATION

  • 6.1. Introduction
  • 6.2. Field Mapping
  • 6.3. Crop scouting
  • 6.4. Weather tracking
  • 6.5. Drone analytics
  • 6.6. Financial Management
  • 6.7. Farm inventory management
  • 6.8. Others

7. GLOBAL DIGITAL AGRICULTURE MARKET BY GEOGRAPHY

  • 7.1. Introduction
  • 7.2. North America
    • 7.2.1. USA
    • 7.2.2. Canada
    • 7.2.3. Mexico
  • 7.3. South America
    • 7.3.1. Brazil
    • 7.3.2. Argentina
    • 7.3.3. Others
  • 7.4. Europe
    • 7.4.1. Germany
    • 7.4.2. France
    • 7.4.3. United Kingdom
    • 7.4.4. Spain
    • 7.4.5. Others
  • 7.5. Middle East and Africa
    • 7.5.1. Saudi Arabia
    • 7.5.2. UAE
    • 7.5.3. Others
  • 7.6. Asia Pacific
    • 7.6.1. China
    • 7.6.2. India
    • 7.6.3. Japan
    • 7.6.4. South Korea
    • 7.6.5. Indonesia
    • 7.6.6. Thailand
    • 7.6.7. Others

8. COMPETITIVE ENVIRONMENT AND ANALYSIS

  • 8.1. Major Players and Strategy Analysis
  • 8.2. Market Share Analysis
  • 8.3. Mergers, Acquisitions, Agreements, and Collaborations
  • 8.4. Competitive Dashboard

9. COMPANY PROFILES

  • 9.1. IBM Corporation
  • 9.2. Microsoft Corporation
  • 9.3. HummingBird Technologies
  • 9.4. AGCO Corporation
  • 9.5. Gamaya SA
  • 9.6. Bayer CropScience AG
  • 9.7. Deere & Company
  • 9.8. Easytosee Agtech
  • 9.9. Small Robot Company
  • 9.10. Raven Industries

10. APPENDIX

  • 10.1. Currency
  • 10.2. Assumptions
  • 10.3. Base and Forecast Years Timeline
  • 10.4. Key benefits for the stakeholders
  • 10.5. Research Methodology
  • 10.6. Abbreviations