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人工智能精密農業

市場調查報告書

商品編碼

1761875

全球農業人工智慧市場研究報告－產業分析、規模、佔有率、成長、趨勢及2025年至2033年預測

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個工作天內

價格

簡介目錄圖表

全球農業人工智慧市場規模預計將從 2024 年的 31.5 億美元成長到 2033 年的 248.6 億美元，在 2026 年至 2033 年的預測期內，年複合成長率(CAGR) 將達到 25.82%。

隨著農業部門擴大採用技術來提高生產力和永續性，農業人工智慧市場有望實現顯著成長。預計到2050年，全球人口將達到97億，對高效糧食生產方法的需求比以往任何時候都更加迫切。包括機器學習、電腦視覺和預測分析在內的人工智慧技術正在透過數據驅動的決策徹底改變傳統的農業實踐。從精準農業到作物監測和產量預測，人工智慧正在幫助農民最佳化資源利用率、減少浪費並提高作物品質。隨著農業格局的演變，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。搭載人工智慧演算法的無人機正被用於空拍和作物健康評估，為農民提供田間即時資訊。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，以便及時介入並做出明智的決策。隨著農民擴大採用這些先進技術，農業領域對人工智慧解決方案的需求預計將激增，這將為市場帶來強勁成長。

此外，對永續性和環境管理的日益關注也推動了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，對永續農業實踐的需求也日益成長，這些實踐能夠最大限度地減少資源消耗和碳足跡。人工智慧技術正在促進這一轉變，它使農民能夠實施精準農業技術，從而最佳化投入並增強作物的抗逆性。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重視將成為成長的關鍵驅動力，確保其在日益複雜的農業格局中保持重要地位。

我們的報告經過精心設計，旨在為客戶提供關於各個行業和市場的全面且切實可行的洞察。每份報告都包含幾個關鍵部分，以確保客戶全面了解市場格局：

市場概覽：市場的詳細介紹，包括定義、分類和行業現狀概述。

市場動態：深入分析影響市場成長的關鍵促進因素、限制因素、機會與挑戰。本部分探討技術進步、監管變化和新興趨勢等因素。

細分分析：根據產品類型、應用、最終用戶和地理位置等標準，將市場細分為不同的細分市場。此分析重點在於突出每個細分市場的表現和潛力。

競爭格局：對主要市場參與者的全面評估，包括其市場佔有率、產品組合、策略舉措和財務表現。本部分深入分析了競爭態勢以及領先公司採用的關鍵策略。

市場預測：根據歷史資料和當前市場狀況，對特定時期的市場規模和成長趨勢進行預測。這包括定量分析和圖形表示，以說明未來的市場發展軌跡。

區域分析：評估不同地理區域的市場表現，確定關鍵市場和區域趨勢。這有助於了解區域市場動態和機會。

新興趨勢與機會：識別當前及新興市場趨勢、技術創新以及潛在投資領域。本部分將深入探討未來市場發展與成長前景。

區域展望
介紹
北美銷售分析
- 概述、歷史和預測數據銷售分析
- 北美各細分市場銷售分析
- 北美各國銷售分析
- 美國銷售分析
- 加拿大銷售分析
- 墨西哥銷售分析
歐洲銷售分析
- 概述、歷史和預測數據銷售分析
- 歐洲各細分市場銷售分析
- 歐洲各國銷售分析
- 英國銷售分析
- 法國銷售分析
- 德國銷售分析
- 義大利銷售分析
- 俄羅斯銷售分析
- 歐洲其他地區銷售分析
亞太地區銷售分析
- 概述、歷史和預測數據銷售分析
- 亞太地區分部銷售分析
- 亞太地區國家銷售分析
- 中國銷售分析
- 印度銷售分析
- 日本銷售分析
- 韓國銷售分析
- 澳洲銷售分析
- 東南亞銷售分析
- 亞太地區其他地區銷售分析
拉丁美洲銷售分析
- 概述、歷史和預測數據銷售分析
- 拉丁美洲各細分市場銷售分析
- 拉丁美洲各國銷售分析
- 巴西銷售分析
- 阿根廷銷售分析
- 秘魯銷售分析
- 智利銷售分析
- 拉丁美洲其他地區銷售分析
中東和非洲銷售分析
- 概述、歷史和預測數據銷售分析
- 中東和非洲分部銷售分析
- 中東和非洲國家銷售分析
- 沙烏地阿拉伯銷售分析
- 阿拉伯聯合大公國銷售分析
- 以色列銷售分析
- 南非銷售分析
- 中東和非洲其他地區銷售分析

第9章：農業公司人工智慧的競爭格局

人工智慧在農業市場競爭中的作用
合作/協作/協議
併購
新產品發布
其他發展

第10章：公司簡介

頂級公司市佔率分析
市場集中度
Blue River Technology

公司概況
公司收入
產品
最新動態

Climate LLC

公司概況
公司收入
產品
最新動態

Corteva

公司概況
公司收入
產品
最新動態

Deere & Company

公司概況
公司收入
產品
最新動態

Ecorobotix SA

公司概況
公司收入
產品
最新動態

Farmers Edge Inc.

公司概況
公司收入
產品
最新動態

公司概況
公司收入
產品
最新動態

Microsoft

公司概況
公司收入
產品
最新動態

Trimble Inc.

公司概況
公司收入
產品
最新動態

Valmont Industries Inc.

公司概況
公司收入
產品
最新動態

公司概況
公司收入
產品
最新動態

注意 - 在公司簡介中，財務細節和最新發展取決於可用性，對於私人公司，可能不予涵蓋

簡介目錄圖表

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

簡介目錄圖表

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