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人工智能精密农业

市场调查报告书

商品编码

1761875

全球农业人工智慧市场研究报告－产业分析、规模、份额、成长、趋势及2025年至2033年预测

Global Artificial Intelligence in Agriculture Market Research Report- Industry Analysis, Size, Share, Growth, Trends and Forecast 2025 to 2033

出版日期: 2025年07月01日 | 出版商:

Value Market Research | 英文 132 Pages | 商品交期: 最快1-2个工作天内

价格

简介目录图表

全球农业人工智慧市场规模预计将从 2024 年的 31.5 亿美元成长到 2033 年的 248.6 亿美元，在 2026 年至 2033 年的预测期内，年复合成长率(CAGR) 将达到 25.82%。

随着农业部门越来越多地采用技术来提高生产力和永续性，农业人工智慧市场有望实现显着成长。预计到2050年，全球人口将达到97亿，对高效粮食生产方法的需求比以往任何时候都更加迫切。包括机器学习、电脑视觉和预测分析在内的人工智慧技术正在透过数据驱动的决策彻底改变传统的农业实践。从精准农业到作物监测和产量预测，人工智慧正在帮助农民优化资源利用率、减少浪费并提高作物品质。随着农业格局的演变，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。搭载人工智慧演算法的无人机正被用于空拍和作物健康评估，为农民提供田间即时资讯。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，以便及时介入并做出明智的决策。随着农民越来越多地采用这些先进技术，农业领域对人工智慧解决方案的需求预计将激增，这将为市场带来强劲成长。

此外，对永续性和环境管理的日益关注也推动了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，对永续农业实践的需求也日益增长，这些实践能够最大限度地减少资源消耗和碳足迹。人工智慧技术正在促进这一转变，它使农民能够实施精准农业技术，从而优化投入并增强作物的抗逆性。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重视将成为成长的关键驱动力，确保其在日益复杂的农业格局中保持重要地位。

我们的报告经过精心设计，旨在为客户提供关于各个行业和市场的全面且切实可行的洞察。每份报告都包含几个关键部分，以确保客户全面了解市场格局：

市场概览：市场的详细介绍，包括定义、分类和行业现状概述。

市场动态：深入分析影响市场成长的关键驱动因素、限制因素、机会与挑战。本部分探讨技术进步、监管变化和新兴趋势等因素。

細項分析：根据产品类型、应用、最终用户和地理位置等标准，将市场细分为不同的细分市场。此分析重点在于突出每个细分市场的表现和潜力。

竞争格局：对主要市场参与者的全面评估，包括其市场份额、产品组合、策略倡议和财务表现。本部分深入分析了竞争态势以及领先公司采用的关键策略。

市场预测：根据历史资料和当前市场状况，对特定时期的市场规模和成长趋势进行预测。这包括定量分析和图形表示，以说明未来的市场发展轨迹。

区域分析：评估不同地理区域的市场表现，确定关键市场和区域趋势。这有助于了解区域市场动态和机会。

新兴趋势与机会：识别当前及新兴市场趋势、技术创新以及潜在投资领域。本部分将深入探讨未来市场发展与成长前景。

区域展望
介绍
北美销售分析
- 概述、历史和预测数据销售分析
- 北美各细分市场销售分析
- 北美各国销售分析
- 美国销售分析
- 加拿大销售分析
- 墨西哥销售分析
欧洲销售分析
- 概述、历史和预测数据销售分析
- 欧洲各细分市场销售分析
- 欧洲各国销售分析
- 英国销售分析
- 法国销售分析
- 德国销售分析
- 义大利销售分析
- 俄罗斯销售分析
- 欧洲其他地区销售分析
亚太地区销售分析
- 概述、历史和预测数据销售分析
- 亚太地区分部销售分析
- 亚太地区国家销售分析
- 中国销售分析
- 印度销售分析
- 日本销售分析
- 韩国销售分析
- 澳洲销售分析
- 东南亚销售分析
- 亚太地区其他地区销售分析
拉丁美洲销售分析
- 概述、历史和预测数据销售分析
- 拉丁美洲各细分市场销售分析
- 拉丁美洲各国销售分析
- 巴西销售分析
- 阿根廷销售分析
- 秘鲁销售分析
- 智利销售分析
- 拉丁美洲其他地区销售分析
中东和非洲销售分析
- 概述、历史和预测数据销售分析
- 中东和非洲分部销售分析
- 中东和非洲国家销售分析
- 沙乌地阿拉伯销售分析
- 阿联酋销售分析
- 以色列销售分析
- 南非销售分析
- 中东和非洲其他地区销售分析

第九章：农业公司人工智慧的竞争格局

人工智慧在农业市场竞争中的作用
合作/协作/协议
併购
新产品发布
其他发展

第十章：公司简介

顶级公司市占率分析
市场集中度
Blue River Technology

公司概况
公司收入
产品
最新动态

Climate LLC

公司概况
公司收入
产品
最新动态

Corteva

公司概况
公司收入
产品
最新动态

Deere & Company

公司概况
公司收入
产品
最新动态

Ecorobotix SA

公司概况
公司收入
产品
最新动态

Farmers Edge Inc.

公司概况
公司收入
产品
最新动态

公司概况
公司收入
产品
最新动态

Microsoft

公司概况
公司收入
产品
最新动态

Trimble Inc.

公司概况
公司收入
产品
最新动态

Valmont Industries Inc.

公司概况
公司收入
产品
最新动态

公司概况
公司收入
产品
最新动态

注意 - 在公司简介中，财务细节和最新发展取决于可用性，对于私人公司，可能不予涵盖

简介目录图表

Product Code: VMR11215511

Global Artificial Intelligence in Agriculture Market size is anticipated to grow from USD 3.15 Billion in 2024 to USD 24.86 Billion by 2033, showcasing a robust Compound Annual Growth Rate (CAGR) of 25.82% during the forecast period of 2026 to 2033.

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.

SEGMENTATION COVERED IN THE REPORT

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.
The above list can be customized.

1. PREFACE

1.1. Report Description
- 1.1.1 Objective
- 1.1.2 Target Audience
- 1.1.3 Unique Selling Proposition (USP) & offerings
1.2. Research Scope
1.3. Research Methodology
- 1.3.1 Market Research Process
- 1.3.2 Market Research Methodology

2. EXECUTIVE SUMMARY

2.1. Highlights of Market
2.2. Global Market Snapshot

3. ARTIFICIAL INTELLIGENCE IN AGRICULTURE INDUSTRY ANALYSIS

3.1. Introduction - Market Dynamics
3.2. Market Drivers
3.3. Market Restraints
3.4. Opportunities
3.5. Industry Trends
3.6. Porter's Five Force Analysis
3.7. Market Attractiveness Analysis
- 3.7.1 Market Attractiveness Analysis By Component
- 3.7.2 Market Attractiveness Analysis By Technology
- 3.7.3 Market Attractiveness Analysis By Application
- 3.7.4 Market Attractiveness Analysis By Region

4. VALUE CHAIN ANALYSIS

4.1. Value Chain Analysis
4.2. Raw Material Analysis
- 4.2.1 List of Raw Materials
- 4.2.2 Raw Material Manufactures List
- 4.2.3 Price Trend of Key Raw Materials
4.3. List of Potential Buyers
4.4. Marketing Channel
- 4.4.1 Direct Marketing
- 4.4.2 Indirect Marketing
- 4.4.3 Marketing Channel Development Trend

5. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET ANALYSIS BY COMPONENT

5.1. Overview By Component
5.2. Historical and Forecast Data Analysis By Component
5.3. Hardware Historic and Forecast Sales By Regions
5.4. Software Historic and Forecast Sales By Regions
5.5. Service Historic and Forecast Sales By Regions

6. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET ANALYSIS BY TECHNOLOGY

6.1. Overview By Technology
6.2. Historical and Forecast Data Analysis By Technology
6.3. Machine Learning & Deep Learning Historic and Forecast Sales By Regions
6.4. Predictive Analytics Historic and Forecast Sales By Regions
6.5. Computer Vision Historic and Forecast Sales By Regions

7. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET ANALYSIS BY APPLICATION

7.1. Overview By Application
7.2. Historical and Forecast Data Analysis By Application
7.3. Precision Farming Historic and Forecast Sales By Regions
7.4. Drone Analytics Historic and Forecast Sales By Regions
7.5. Agriculture Robots Historic and Forecast Sales By Regions
7.6. Livestock Monitoring Historic and Forecast Sales By Regions
7.7. Labor Management Historic and Forecast Sales By Regions
7.8. Others Historic and Forecast Sales By Regions

8. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET ANALYSIS BY GEOGRAPHY

8.1. Regional Outlook
8.2. Introduction
8.3. North America Sales Analysis
- 8.3.1 Overview, Historic and Forecast Data Sales Analysis
- 8.3.2 North America By Segment Sales Analysis
- 8.3.3 North America By Country Sales Analysis
- 8.3.4 United States Sales Analysis
- 8.3.5 Canada Sales Analysis
- 8.3.6 Mexico Sales Analysis
8.4. Europe Sales Analysis
- 8.4.1 Overview, Historic and Forecast Data Sales Analysis
- 8.4.2 Europe By Segment Sales Analysis
- 8.4.3 Europe By Country Sales Analysis
- 8.4.4 United Kingdom Sales Analysis
- 8.4.5 France Sales Analysis
- 8.4.6 Germany Sales Analysis
- 8.4.7 Italy Sales Analysis
- 8.4.8 Russia Sales Analysis
- 8.4.9 Rest Of Europe Sales Analysis
8.5. Asia Pacific Sales Analysis
- 8.5.1 Overview, Historic and Forecast Data Sales Analysis
- 8.5.2 Asia Pacific By Segment Sales Analysis
- 8.5.3 Asia Pacific By Country Sales Analysis
- 8.5.4 China Sales Analysis
- 8.5.5 India Sales Analysis
- 8.5.6 Japan Sales Analysis
- 8.5.7 South Korea Sales Analysis
- 8.5.8 Australia Sales Analysis
- 8.5.9 South East Asia Sales Analysis
- 8.5.10 Rest Of Asia Pacific Sales Analysis
8.6. Latin America Sales Analysis
- 8.6.1 Overview, Historic and Forecast Data Sales Analysis
- 8.6.2 Latin America By Segment Sales Analysis
- 8.6.3 Latin America By Country Sales Analysis
- 8.6.4 Brazil Sales Analysis
- 8.6.5 Argentina Sales Analysis
- 8.6.6 Peru Sales Analysis
- 8.6.7 Chile Sales Analysis
- 8.6.8 Rest of Latin America Sales Analysis
8.7. Middle East & Africa Sales Analysis
- 8.7.1 Overview, Historic and Forecast Data Sales Analysis
- 8.7.2 Middle East & Africa By Segment Sales Analysis
- 8.7.3 Middle East & Africa By Country Sales Analysis
- 8.7.4 Saudi Arabia Sales Analysis
- 8.7.5 UAE Sales Analysis
- 8.7.6 Israel Sales Analysis
- 8.7.7 South Africa Sales Analysis
- 8.7.8 Rest Of Middle East And Africa Sales Analysis

9. COMPETITIVE LANDSCAPE OF THE ARTIFICIAL INTELLIGENCE IN AGRICULTURE COMPANIES

9.1. Artificial Intelligence in Agriculture Market Competition
9.2. Partnership/Collaboration/Agreement
9.3. Merger And Acquisitions
9.4. New Product Launch
9.5. Other Developments

10. COMPANY PROFILES OF ARTIFICIAL INTELLIGENCE IN AGRICULTURE INDUSTRY

10.1. Top Companies Market Share Analysis
10.2. Market Concentration Rate
10.3. Blue River Technology
- 10.3.1 Company Overview
- 10.3.2 Company Revenue
- 10.3.3 Products
- 10.3.4 Recent Developments
10.4. Climate LLC
- 10.4.1 Company Overview
- 10.4.2 Company Revenue
- 10.4.3 Products
- 10.4.4 Recent Developments
10.5. Corteva
- 10.5.1 Company Overview
- 10.5.2 Company Revenue
- 10.5.3 Products
- 10.5.4 Recent Developments
10.6. Deere & Company
- 10.6.1 Company Overview
- 10.6.2 Company Revenue
- 10.6.3 Products
- 10.6.4 Recent Developments
10.7. Ecorobotix SA
- 10.7.1 Company Overview
- 10.7.2 Company Revenue
- 10.7.3 Products
- 10.7.4 Recent Developments
10.8. Farmers Edge Inc.
- 10.8.1 Company Overview
- 10.8.2 Company Revenue
- 10.8.3 Products
- 10.8.4 Recent Developments
10.9. IBM
- 10.9.1 Company Overview
- 10.9.2 Company Revenue
- 10.9.3 Products
- 10.9.4 Recent Developments
10.10. Microsoft
- 10.10.1 Company Overview
- 10.10.2 Company Revenue
- 10.10.3 Products
- 10.10.4 Recent Developments
10.11. Trimble Inc.
- 10.11.1 Company Overview
- 10.11.2 Company Revenue
- 10.11.3 Products
- 10.11.4 Recent Developments
10.12. Valmont Industries Inc.
- 10.12.1 Company Overview
- 10.12.2 Company Revenue
- 10.12.3 Products
- 10.12.4 Recent Developments
10.13.
- 10.13.1 Company Overview
- 10.13.2 Company Revenue
- 10.13.3 Products
- 10.13.4 Recent Developments

Note - In company profiling, financial details and recent developments are subject to availability or might not be covered in the case of private companies

简介目录图表

LIST OF TABLES

Market Snapshot
Drivers: Impact Analysis
Restraints: Impact Analysis
List of Raw Material
List of Raw Material Manufactures
Analysis By Component (USD MN)
Hardware Market Sales By Geography (USD MN)
Software Market Sales By Geography (USD MN)
Service Market Sales By Geography (USD MN)
Analysis By Technology (USD MN)
Machine Learning & Deep Learning Market Sales By Geography (USD MN)
Predictive Analytics Market Sales By Geography (USD MN)
Computer Vision Market Sales By Geography (USD MN)
Analysis By Application (USD MN)
Precision Farming Market Sales By Geography (USD MN)
Drone Analytics Market Sales By Geography (USD MN)
Agriculture Robots Market Sales By Geography (USD MN)
Livestock Monitoring Market Sales By Geography (USD MN)
Labor Management Market Sales By Geography (USD MN)
Others Market Sales By Geography (USD MN)
Global Artificial Intelligence in Agriculture Market Sales By Geography (USD MN)
North America Market Analysis (USD MN)
United States Market Analysis (USD MN)
Canada Market Analysis (USD MN)
Mexico Market Analysis (USD MN)
Europe Market Analysis (USD MN)
Europe Market Estimate By Country (USD MN)
United Kingdom Market Analysis (USD MN)
France Market Analysis (USD MN)
Germany Market Analysis (USD MN)
Italy Market Analysis (USD MN)
Russia Market Analysis (USD MN)
Spain Market Analysis (USD MN)
Rest of Europe Market Analysis (USD MN)
Asia Pacific Market Analysis (USD MN)
China Market Analysis (USD MN)
Japan Market Analysis (USD MN)
India Market Analysis (USD MN)
South Korea Market Analysis (USD MN)
Australia Market Analysis (USD MN)
South East Asia Market Analysis (USD MN)
Rest of Asia Pacific Market Analysis (USD MN)
Latin America Market Analysis (USD MN)
Brazil Market Analysis (USD MN)
Argentina Market Analysis (USD MN)
Peru Market Analysis (USD MN)
Chile Market Analysis (USD MN)
Rest of Latin America Market Analysis (USD MN)
Middle East & Africa Market Analysis (USD MN)
Saudi Arabia Market Analysis (USD MN)
UAE Market Analysis (USD MN)
Israel Market Analysis (USD MN)
South Africa Market Analysis (USD MN)
Rest of Middle East and Africa Market Analysis (USD MN)
Partnership/Collaboration/Agreement
Mergers And Acquisition