2026-2034年全球农业人工智慧（AI）市场规模、份额、趋势和成长分析报告

预计2025年农业人工智慧（AI）市场规模为39.6亿美元，到2034年将成长至312.9亿美元，2026年至2034年的复合年增长率为25.82%。

随着科技应用的不断普及，农业领域人工智慧市场预计将显着成长，其目标是提高生产力和永续性。预计到2050年，全球人口将达到97亿，届时对高效粮食生产方式的需求将空前高涨。机器学习、电脑视觉和预测分析等人工智慧技术正透过实现数据驱动的决策，革新传统的农业实践。从精密农业到作物监测和产量预测，人工智慧正帮助农民优化资源利用、减少废弃物并提高作物品质。随着农业格局的不断变化，人工智慧解决方案的整合对于应对粮食安全和环境永续性的挑战至关重要。

此外，智慧农业技术的兴起正在改变农民的耕作方式，而人工智慧在这项变革中扮演着核心角色。配备人工智慧演算法的无人机被用于空拍和作物健康评估，为农民提供即时田间资讯。此外，人工智慧感测器和物联网设备能够持续监测土壤状况、天气模式和病虫害活动，从而实现及时的应对措施和明智的决策。随着农民积极采用这些先进技术，农业领域对人工智慧解决方案的需求预计将大幅成长，从而推动市场强劲成长。

此外，人们对永续性和环境保护日益增长的关注正在推动人工智慧在农业领域的应用。随着消费者越来越意识到食品生产对环境的影响，他们对能够最大限度减少资源消耗和碳足迹的永续耕作方式的需求也日益增长。人工智慧技术透过支援精密农业技术的应用，优化投入并提高作物抗逆性，从而促进了这项转型。随着农业人工智慧市场的不断发展，对创新、永续性和数据驱动决策的关注将成为成长的关键驱动力，巩固其在日益复杂的农业环境中的重要性。

目录

第一章 引言

第二章执行摘要

第三章 市场变数、趋势与框架

• 市场谱系展望
• 绘製渗透率和成长前景图
• 价值链分析
• 法律规范
  • 标准与合规性
  • 监管影响分析
• 市场动态
  • 市场驱动因素
  • 市场限制
  • 市场机会
  • 市场问题
• 波特五力分析
• PESTLE分析

4. 全球农业人工智慧（AI）市场（按组件划分）

• 市场分析、洞察与预测
• 硬体
• 软体
• 服务

5. 全球农业人工智慧 (AI) 市场（按技术划分）

• 市场分析、洞察与预测
• 机器学习和深度学习
• 预测分析
• 电脑视觉

6. 全球农业人工智慧（AI）市场应用

• 市场分析、洞察与预测
• 精密农业
• 无人机分析
• 农业机器人
• 牲畜监测
• 劳动管理
• 其他的

7. 全球农业人工智慧（AI）市场（按地区划分）

• 区域分析
• 北美市场分析、洞察与预测
  • 我们
  • 加拿大
  • 墨西哥
• 欧洲市场分析、洞察与预测
  • 英国
  • 法国
  • 德国
  • 义大利
  • 俄罗斯
  • 其他欧洲国家
• 亚太市场分析、洞察与预测
  • 印度
  • 日本
  • 韩国
  • 澳洲
  • 东南亚
  • 其他亚太国家
• 拉丁美洲市场分析、洞察与预测
  • 巴西
  • 阿根廷
  • 秘鲁
  • 智利
  • 其他拉丁美洲国家
• 中东和非洲市场分析、洞察与预测
  • 沙乌地阿拉伯
  • UAE
  • 以色列
  • 南非
  • 其他中东和非洲国家

第八章 竞争情势

• 最新趋势
• 公司分类
• 供应链和销售管道合作伙伴（根据现有资讯）
• 市场占有率和市场定位分析（基于现有资讯）
• 供应商格局（基于现有资讯）
• 策略规划

第九章：公司简介

• 主要公司的市占率分析
• 公司简介
  • 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