2026-2034年全球農業人工智慧（AI）市場規模、佔有率、趨勢和成長分析報告

預計2025年農業人工智慧（AI）市場規模為39.6億美元，到2034年將成長至312.9億美元，2026年至2034年的複合年成長率為25.82%。

隨著科技應用的不斷普及，農業領域人工智慧市場預計將顯著成長，其目標是提高生產力和永續性。預計到2050年，全球人口將達到97億，屆時對高效糧食生產方式的需求將空前高漲。機器學習、電腦視覺和預測分析等人工智慧技術正透過實現數據驅動的決策，革新傳統的農業實踐。從精密農業到作物監測和產量預測，人工智慧正幫助農民最佳化資源利用、減少廢棄物並提高作物品質。隨著農業格局的不斷變化，人工智慧解決方案的整合對於應對糧食安全和環境永續性的挑戰至關重要。

此外，智慧農業技術的興起正在改變農民的耕作方式，而人工智慧在這項變革中扮演著核心角色。配備人工智慧演算法的無人機被用於空拍和作物健康評估，為農民提供即時田間資訊。此外，人工智慧感測器和物聯網設備能夠持續監測土壤狀況、天氣模式和病蟲害活動，從而實現及時的應對措施和明智的決策。隨著農民積極採用這些先進技術，農業領域對人工智慧解決方案的需求預計將大幅成長，從而推動市場強勁成長。

此外，人們對永續性和環境保護日益成長的關注正在推動人工智慧在農業領域的應用。隨著消費者越來越意識到食品生產對環境的影響，他們對能夠最大限度減少資源消耗和碳足跡的永續耕作方式的需求也日益成長。人工智慧技術透過支援精密農業技術的應用，最佳化投入並提高作物抗逆性，從而促進了這項轉型。隨著農業人工智慧市場的不斷發展，對創新、永續性和數據驅動決策的關注將成為成長的關鍵驅動力，鞏固其在日益複雜的農業環境中的重要性。

目錄

第1章 引言

第2章執行摘要

第3章 市場變數、趨勢與框架

• 市場譜系展望
• 繪製滲透率和成長前景圖
• 價值鏈分析
• 法律規範
  • 標準與合規性
  • 監管影響分析
• 市場動態
  • 市場促進因素
  • 市場限制
  • 市場機遇
  • 市場問題
• 波特五力分析
• PESTLE分析

4. 全球農業人工智慧（AI）市場（按組件分類）

• 市場分析、洞察與預測
• 硬體
• 軟體
• 服務

5. 全球農業人工智慧 (AI) 市場（按技術分類）

• 市場分析、洞察與預測
• 機器學習和深度學習
• 預測分析
• 電腦視覺

6. 全球農業人工智慧（AI）市場應用

• 市場分析、洞察與預測
• 精密農業
• 無人機分析
• 農業機器人
• 牲畜監測
• 勞動管理
• 其他

7. 全球農業人工智慧（AI）市場（按地區分類）

• 區域分析
• 北美市場分析、洞察與預測
  • 美國
  • 加拿大
  • 墨西哥
• 歐洲市場分析、洞察與預測
  • 英國
  • 法國
  • 德國
  • 義大利
  • 俄羅斯
  • 其他歐洲國家
• 亞太市場分析、洞察與預測
  • 印度
  • 日本
  • 韓國
  • 澳洲
  • 東南亞
  • 其他亞太國家
• 拉丁美洲市場分析、洞察與預測
  • 巴西
  • 阿根廷
  • 秘魯
  • 智利
  • 其他拉丁美洲國家
• 中東和非洲市場分析、洞察與預測
  • 沙烏地阿拉伯
  • UAE
  • 以色列
  • 南非
  • 其他中東和非洲國家

第8章 競爭情勢

• 最新趨勢
• 公司分類
• 供應鏈和銷售管道合作夥伴（根據現有資訊）
• 市場佔有率和市場定位分析（基於現有資訊）
• 供應商格局（基於現有資訊）
• 策略規劃

第9章：公司簡介

• 主要公司的市佔率分析
• 公司簡介
  • Blue River Technology
  • Climate LLC
  • Corteva
  • Deere & Company
  • Ecorobotix SA
  • Farmers Edge Inc
  • IBM
  • Microsoft
  • Trimble Inc
  • Valmont Industries Inc

The Artificial Intelligence in Agriculture Market size is expected to reach USD 31.29 Billion in 2034 from USD 3.96 Billion (2025) growing at a CAGR of 25.82% during 2026-2034.

The Artificial Intelligence in Agriculture Market is poised for remarkable growth as the agricultural sector increasingly embraces technology to enhance productivity and sustainability. With the global population projected to reach 9.7 billion by 2050, the demand for efficient food production methods is more pressing than ever. AI technologies, including machine learning, computer vision, and predictive analytics, are revolutionizing traditional farming practices by enabling data-driven decision-making. From precision agriculture to crop monitoring and yield prediction, AI is empowering farmers to optimize resource utilization, reduce waste, and improve crop quality. As the agricultural landscape evolves, the integration of AI solutions will be crucial in addressing the challenges of food security and environmental sustainability.

Moreover, the rise of smart farming technologies is transforming the way farmers operate, with AI playing a central role in this evolution. Drones equipped with AI algorithms are being utilized for aerial imaging and crop health assessment, providing farmers with real-time insights into their fields. Additionally, AI-powered sensors and IoT devices are enabling continuous monitoring of soil conditions, weather patterns, and pest activity, allowing for timely interventions and informed decision-making. As farmers increasingly adopt these advanced technologies, the demand for AI solutions in agriculture is expected to surge, positioning the market for robust growth.

Furthermore, the increasing focus on sustainability and environmental stewardship is driving the adoption of AI in agriculture. As consumers become more conscious of the environmental impact of food production, there is a growing demand for sustainable farming practices that minimize resource consumption and reduce carbon footprints. AI technologies are facilitating this transition by enabling farmers to implement precision farming techniques that optimize inputs and enhance crop resilience. As the Artificial Intelligence in Agriculture Market continues to evolve, the emphasis on innovation, sustainability, and data-driven decision-making will be key drivers of growth, ensuring its relevance in an increasingly complex agricultural landscape.

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 Component

• Hardware
• Software
• Service

By Technology

• Machine Learning & Deep Learning
• Predictive Analytics
• Computer Vision

By Application

• Precision Farming
• Drone Analytics
• Agriculture Robots
• Livestock Monitoring
• Labor Management
• Others

COMPANIES PROFILED

• Blue River Technology, Climate LLC, Corteva, Deere Company, Ecorobotix SA, Farmers Edge Inc, IBM, Microsoft, Trimble Inc, Valmont Industries Inc

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 ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET: BY COMPONENT 2022-2034 (USD MN)

• 4.1. Market Analysis, Insights and Forecast Component
• 4.2. Hardware Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 4.3. Software Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 4.4. Service Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 5. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET: BY TECHNOLOGY 2022-2034 (USD MN)

• 5.1. Market Analysis, Insights and Forecast Technology
• 5.2. Machine Learning & Deep Learning Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 5.3. Predictive Analytics Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 5.4. Computer Vision Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 6. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET: BY APPLICATION 2022-2034 (USD MN)

• 6.1. Market Analysis, Insights and Forecast Application
• 6.2. Precision Farming Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 6.3. Drone Analytics Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 6.4. Agriculture Robots Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 6.5. Livestock Monitoring Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 6.6. Labor Management Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 6.7. Others Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 7. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET: BY REGION 2022-2034(USD MN)

• 7.1. Regional Outlook
• 7.2. North America Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
  • 7.2.1 By Component
  • 7.2.2 By Technology
  • 7.2.3 By Application
  • 7.2.4 United States
  • 7.2.5 Canada
  • 7.2.6 Mexico
• 7.3. Europe Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
  • 7.3.1 By Component
  • 7.3.2 By Technology
  • 7.3.3 By Application
  • 7.3.4 United Kingdom
  • 7.3.5 France
  • 7.3.6 Germany
  • 7.3.7 Italy
  • 7.3.8 Russia
  • 7.3.9 Rest Of Europe
• 7.4. Asia-Pacific Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
  • 7.4.1 By Component
  • 7.4.2 By Technology
  • 7.4.3 By Application
  • 7.4.4 India
  • 7.4.5 Japan
  • 7.4.6 South Korea
  • 7.4.7 Australia
  • 7.4.8 South East Asia
  • 7.4.9 Rest Of Asia Pacific
• 7.5. Latin America Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
  • 7.5.1 By Component
  • 7.5.2 By Technology
  • 7.5.3 By Application
  • 7.5.4 Brazil
  • 7.5.5 Argentina
  • 7.5.6 Peru
  • 7.5.7 Chile
  • 7.5.8 South East Asia
  • 7.5.9 Rest of Latin America
• 7.6. Middle East & Africa Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
  • 7.6.1 By Component
  • 7.6.2 By Technology
  • 7.6.3 By Application
  • 7.6.4 Saudi Arabia
  • 7.6.5 UAE
  • 7.6.6 Israel
  • 7.6.7 South Africa
  • 7.6.8 Rest of the Middle East And Africa

Chapter 8. COMPETITIVE LANDSCAPE

• 8.1. Recent Developments
• 8.2. Company Categorization
• 8.3. Supply Chain & Channel Partners (based on availability)
• 8.4. Market Share & Positioning Analysis (based on availability)
• 8.5. Vendor Landscape (based on availability)
• 8.6. Strategy Mapping

Chapter 9. COMPANY PROFILES OF GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE INDUSTRY

• 9.1. Top Companies Market Share Analysis
• 9.2. Company Profiles
  • 9.2.1 Blue River Technology
  • 9.2.2 Climate LLC
  • 9.2.3 Corteva
  • 9.2.4 Deere & Company
  • 9.2.5 Ecorobotix SA
  • 9.2.6 Farmers Edge Inc
  • 9.2.7 IBM
  • 9.2.8 Microsoft
  • 9.2.9 Trimble Inc
  • 9.2.10 Valmont Industries Inc