시장보고서
상품코드
1937857

디지털 농업 시장 규모, 점유율, 동향 및 성장 분석 보고서(2026-2034년)

Global Digital Agriculture Market Size, Share, Trends & Growth Analysis Report 2026-2034

발행일: | 리서치사: Value Market Research | 페이지 정보: 영문 175 Pages | 배송안내 : 1-2일 (영업일 기준)

    
    
    




※ 본 상품은 영문 자료로 한글과 영문 목차에 불일치하는 내용이 있을 경우 영문을 우선합니다. 정확한 검토를 위해 영문 목차를 참고해주시기 바랍니다.

디지털 농업 시장 규모는 2025년 215억 2,000만 달러에서 2026년부터 2034년까지 CAGR 10.51%로 성장하여 2034년에는 528억 9,000만 달러에 달할 것으로 예측됩니다.

디지털 농업 시장은 기술이 전통적인 농업 관행을 보다 효율적이고 데이터 기반 운영으로 변화시키면서 빠르게 성장하고 있습니다. 세계 인구의 증가와 지속가능한 식량 생산에 대한 필요성이 증가함에 따라 농부들은 작물 수확량을 최적화하고, 자원을 관리하고, 의사결정을 강화하기 위해 디지털 솔루션으로 눈을 돌리고 있습니다. 정밀농업, IoT 센서, 데이터 분석 등의 기술을 통해 농부들은 토양의 건강 상태, 기상 조건, 작물의 생육 상황을 실시간으로 모니터링할 수 있게 되어 보다 정보에 입각한 적시 대응이 가능해졌습니다. 농업 분야가 디지털 혁신을 수용함에 따라 디지털 농업 솔루션에 대한 수요가 급증하여 이 중요한 시장에서 혁신과 투자를 촉진할 것으로 예상됩니다.

또한, 디지털 농업 도구에 인공지능(AI)과 머신러닝을 통합하여 농가의 작물 관리 방식에 혁명을 일으키고 있습니다. 이러한 기술은 예측 분석을 통해 농부들이 해충 발생이나 영양 부족과 같은 문제가 수확량에 영향을 미치기 전에 미리 예측할 수 있도록 돕습니다. 또한, 드론과 위성사진의 활용으로 작물의 건강 상태 평가와 자원 배분 최적화 능력이 향상되어 지속가능한 농업 실천에 더욱 기여하고 있습니다. 농업계가 효율성과 지속가능성을 점점 더 중요시하는 가운데, 디지털 농업 시장은 확대될 것이며, 기술 제공자와 농민 모두에게 새로운 기회를 창출할 것입니다.

디지털 농업 시장이 계속 진화하는 가운데, 접근성과 교육에 대한 집중은 매우 중요합니다. 농부들이 디지털 도구를 효과적으로 활용하기 위해 필요한 기술과 지식을 습득하는 것이 그 혜택을 극대화할 수 있는 열쇠가 될 것입니다. 또한, 기술 제공 기업, 농업 단체, 교육 기관 간의 협력은 이 분야의 도입 촉진과 혁신 창출에 중요한 역할을 할 것입니다. 디지털 농업 시장의 향후 전망은 지속가능하고 효율적인 식량 생산을 목표로 하는 농부들을 지원하겠다는 확고한 자세로 지속적인 혁신과 강화된 협업을 통해 특징지어질 것입니다.

목차

제1장 소개

제2장 주요 요약

제3장 시장 변수, 동향, 프레임워크

제4장 세계의 디지털 농업 시장 : 유형별

제5장 세계의 디지털 농업 시장 : 기업 유형별

제6장 세계의 디지털 농업 시장 : 임명별

제7장 세계의 디지털 농업 시장 : 용도별

제8장 세계의 디지털 농업 시장 : 지역별

제9장 경쟁 구도

제10장 기업 개요

KSM 26.03.24

The Digital Agriculture Market size is expected to reach USD 52.89 Billion in 2034 from USD 21.52 Billion (2025) growing at a CAGR of 10.51% during 2026-2034.

The digital agriculture market is experiencing rapid growth as technology transforms traditional farming practices into more efficient and data-driven operations. With the increasing global population and the need for sustainable food production, farmers are turning to digital solutions to optimize crop yields, manage resources, and enhance decision-making. Technologies such as precision agriculture, IoT sensors, and data analytics are enabling farmers to monitor soil health, weather conditions, and crop performance in real-time, leading to more informed and timely interventions. As the agricultural sector embraces digital transformation, the demand for digital agriculture solutions is expected to surge, driving innovation and investment in this vital market.

Moreover, the integration of artificial intelligence and machine learning into digital agriculture tools is revolutionizing the way farmers approach crop management. These technologies allow for predictive analytics, enabling farmers to anticipate challenges such as pest infestations or nutrient deficiencies before they impact yields. Additionally, the use of drones and satellite imagery is enhancing the ability to assess crop health and optimize resource allocation, further contributing to sustainable farming practices. As the agricultural community increasingly prioritizes efficiency and sustainability, the digital agriculture market is likely to expand, creating new opportunities for technology providers and farmers alike.

As the digital agriculture market continues to evolve, the focus on accessibility and education will be paramount. Ensuring that farmers have the necessary skills and knowledge to leverage digital tools effectively will be crucial for maximizing their benefits. Additionally, partnerships between technology providers, agricultural organizations, and educational institutions will play a vital role in driving adoption and fostering innovation in this sector. The future of the digital agriculture market is characterized by continuous innovation, enhanced collaboration, and a commitment to supporting farmers in their efforts to produce food sustainably and efficiently.

Our reports are meticulously crafted to provide clients with comprehensive and actionable insights into various industries and markets. Each report encompasses several critical components to ensure a thorough understanding of the market landscape:

Market Overview: A detailed introduction to the market, including definitions, classifications, and an overview of the industry's current state.

Market Dynamics: In-depth analysis of key drivers, restraints, opportunities, and challenges influencing market growth. This section examines factors such as technological advancements, regulatory changes, and emerging trends.

Segmentation Analysis: Breakdown of the market into distinct segments based on criteria like product type, application, end-user, and geography. This analysis highlights the performance and potential of each segment.

Competitive Landscape: Comprehensive assessment of major market players, including their market share, product portfolio, strategic initiatives, and financial performance. This section provides insights into the competitive dynamics and key strategies adopted by leading companies.

Market Forecast: Projections of market size and growth trends over a specified period, based on historical data and current market conditions. This includes quantitative analyses and graphical representations to illustrate future market trajectories.

Regional Analysis: Evaluation of market performance across different geographical regions, identifying key markets and regional trends. This helps in understanding regional market dynamics and opportunities.

Emerging Trends and Opportunities: Identification of current and emerging market trends, technological innovations, and potential areas for investment. This section offers insights into future market developments and growth prospects.

MARKET SEGMENTATION

By Type

  • Crop Monitoring
  • Artificial Intelligence
  • Precision Farming

By Company Type

  • Tier 1-55 %
  • Tier 2-20%
  • Tier 3-25%

By Designation

  • C-Level Executives-40%
  • Directors -35%
  • Others-25%

By Applications

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

COMPANIES PROFILED

  • DTN, Farmers Edge Inc, Taranis, Eurofins Scientific, AgriWebb, Monsanto Company, Bayer AG, Deere Company, Accenture, Syngenta AG, AgGateway, CropX inc, Farmers Business Network, BASF SE, DigitalGlobe

We can customise the report as per your requriements

TABLE OF CONTENTS

Chapter 1. PREFACE

  • 1.1. Market Segmentation & Scope
  • 1.2. Market Definition
  • 1.3. Information Procurement
    • 1.3.1 Information Analysis
    • 1.3.2 Market Formulation & Data Visualization
    • 1.3.3 Data Validation & Publishing
  • 1.4. Research Scope and Assumptions
    • 1.4.1 List of Data Sources

Chapter 2. EXECUTIVE SUMMARY

  • 2.1. Market Snapshot
  • 2.2. Segmental Outlook
  • 2.3. Competitive Outlook

Chapter 3. MARKET VARIABLES, TRENDS, FRAMEWORK

  • 3.1. Market Lineage Outlook
  • 3.2. Penetration & Growth Prospect Mapping
  • 3.3. Value Chain Analysis
  • 3.4. Regulatory Framework
    • 3.4.1 Standards & Compliance
    • 3.4.2 Regulatory Impact Analysis
  • 3.5. Market Dynamics
    • 3.5.1 Market Drivers
    • 3.5.2 Market Restraints
    • 3.5.3 Market Opportunities
    • 3.5.4 Market Challenges
  • 3.6. Porter's Five Forces Analysis
  • 3.7. PESTLE Analysis

Chapter 4. GLOBAL DIGITAL AGRICULTURE MARKET: BY TYPE 2022-2034 (USD MN)

  • 4.1. Market Analysis, Insights and Forecast Type
  • 4.2. Crop Monitoring Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 4.3. Artificial Intelligence Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 4.4. Precision Farming Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 5. GLOBAL DIGITAL AGRICULTURE MARKET: BY COMPANY TYPE 2022-2034 (USD MN)

  • 5.1. Market Analysis, Insights and Forecast Company Type
  • 5.2. Tier 1-55 % Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 5.3. Tier 2-20% Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 5.4. Tier 3-25% Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 6. GLOBAL DIGITAL AGRICULTURE MARKET: BY DESIGNATION 2022-2034 (USD MN)

  • 6.1. Market Analysis, Insights and Forecast Designation
  • 6.2. C-Level Executives-40% Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 6.3. Directors -35% Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 6.4. Others-25% Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 7. GLOBAL DIGITAL AGRICULTURE MARKET: BY APPLICATIONS 2022-2034 (USD MN)

  • 7.1. Market Analysis, Insights and Forecast Applications
  • 7.2. Field Mapping Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 7.3. Crop Scouting Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 7.4. Weather Tracking Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 7.5. Drone Analytics Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 7.6. Financial Management Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 7.7. Farm Inventory Management Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 7.8. Others Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 8. GLOBAL DIGITAL AGRICULTURE MARKET: BY REGION 2022-2034(USD MN)

  • 8.1. Regional Outlook
  • 8.2. North America Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
    • 8.2.1 By Type
    • 8.2.2 By Company Type
    • 8.2.3 By Designation
    • 8.2.4 By Applications
    • 8.2.5 United States
    • 8.2.6 Canada
    • 8.2.7 Mexico
  • 8.3. Europe Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
    • 8.3.1 By Type
    • 8.3.2 By Company Type
    • 8.3.3 By Designation
    • 8.3.4 By Applications
    • 8.3.5 United Kingdom
    • 8.3.6 France
    • 8.3.7 Germany
    • 8.3.8 Italy
    • 8.3.9 Russia
    • 8.3.10 Rest Of Europe
  • 8.4. Asia-Pacific Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
    • 8.4.1 By Type
    • 8.4.2 By Company Type
    • 8.4.3 By Designation
    • 8.4.4 By Applications
    • 8.4.5 India
    • 8.4.6 Japan
    • 8.4.7 South Korea
    • 8.4.8 Australia
    • 8.4.9 South East Asia
    • 8.4.10 Rest Of Asia Pacific
  • 8.5. Latin America Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
    • 8.5.1 By Type
    • 8.5.2 By Company Type
    • 8.5.3 By Designation
    • 8.5.4 By Applications
    • 8.5.5 Brazil
    • 8.5.6 Argentina
    • 8.5.7 Peru
    • 8.5.8 Chile
    • 8.5.9 South East Asia
    • 8.5.10 Rest of Latin America
  • 8.6. Middle East & Africa Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
    • 8.6.1 By Type
    • 8.6.2 By Company Type
    • 8.6.3 By Designation
    • 8.6.4 By Applications
    • 8.6.5 Saudi Arabia
    • 8.6.6 UAE
    • 8.6.7 Israel
    • 8.6.8 South Africa
    • 8.6.9 Rest of the Middle East And Africa

Chapter 9. COMPETITIVE LANDSCAPE

  • 9.1. Recent Developments
  • 9.2. Company Categorization
  • 9.3. Supply Chain & Channel Partners (based on availability)
  • 9.4. Market Share & Positioning Analysis (based on availability)
  • 9.5. Vendor Landscape (based on availability)
  • 9.6. Strategy Mapping

Chapter 10. COMPANY PROFILES OF GLOBAL DIGITAL AGRICULTURE INDUSTRY

  • 10.1. Top Companies Market Share Analysis
  • 10.2. Company Profiles
    • 10.2.1 DTN
    • 10.2.2 Farmers Edge Inc
    • 10.2.3 Taranis
    • 10.2.4 Eurofins Scientific
    • 10.2.5 AgriWebb
    • 10.2.6 Monsanto Company
    • 10.2.7 Bayer AG
    • 10.2.8 Deere & Company
    • 10.2.9 Accenture
    • 10.2.10 Syngenta AG
    • 10.2.11 AgGateway
    • 10.2.12 CropX Inc
    • 10.2.13 Farmers Business Network
    • 10.2.14 BASF SE
    • 10.2.15 DigitalGlobe
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