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人工智能精密農業

市場調查報告書

商品編碼

1547405

全球農業人工智慧市場研究報告 - 2024 年至 2032 年產業分析、規模、佔有率、成長、趨勢和預測

Global Artificial Intelligence in Agriculture Market Research Report - Industry Analysis, Size, Share, Growth, Trends and Forecast 2024 to 2032

出版日期: 2024年07月01日 | 出版商:

Value Market Research | 英文 170 Pages | 商品交期: 最快1-2個工作天內

價格

簡介目錄圖表

全球農業市場人工智慧需求預計將從2023年的202646萬美元達到2032年近1617455萬美元的市場規模，2024-2032年研究期間複合年成長率為25.96%。

農業中的人工智慧 (AI) 涉及應用機器學習、機器人技術和資料分析來改善農業實踐和生產力。人工智慧技術分析來自感測器、無人機和衛星影像的資料，以監測土壤狀況、作物健康和天氣模式。這使農民能夠做出有關種植、灌溉和害蟲管理的數據驅動決策。農業中的人工智慧可以提高效率、減少資源使用並提高產量，從而應對糧食安全和環境永續性等挑戰。它徹底改變了傳統農業方法，促進精準農業和永續實踐。

市場動態

由於多種影響因素，農業市場中的人工智慧正在快速成長。主要促進因素之一是提高農業生產力和效率以永續滿足日益成長的糧食需求的壓力越來越大。預測分析和機器學習演算法等人工智慧技術為農民提供了寶貴的見解和決策能力，以最佳化作物管理實踐、提高產量並減少資源使用。此外，精準農業技術的普及，包括基於感測器的監控系統和配備人工智慧的無人機，正在推動人工智慧在農業中的採用。這些技術使農民能夠收集和分析有關土壤條件、天氣模式、作物健康和蟲害的資料，從而實現有針對性的干涉措施和最佳化資源分配。此外，人工智慧驅動的農業機械和機器人（例如自動曳引機和機器人收割機）的日益普及正在徹底改變農業作業和勞動效率。促進農業數位化和現代化的政府措施和補貼也推動了人工智慧技術在農業領域的採用。此外，針對農民特定需求的人工智慧解決方案的不斷增加，加上感測器和資料分析工具成本的下降，使得中小型農場更容易使用人工智慧。隨著農民不斷尋求創新解決方案以提高生產力和永續性，農業人工智慧的需求預計在未來幾年將大幅成長。然而，高昂的實施成本和缺乏技術專業知識可能會阻礙未來幾年人工智慧在農業市場的成長。

研究報告涵蓋波特五力模型、市場吸引力分析和價值鏈分析。這些工具有助於清晰地了解行業結構並評估全球範圍內的競爭吸引力。此外，這些工具也對全球農業人工智慧市場的各個細分市場進行了包容性評估。農業領域人工智慧的成長和趨勢為這項研究提供了整體方法。

市場區隔

農業人工智慧市場報告的這一部分提供了有關國家和區域層面細分市場的詳細資料，從而幫助策略家確定相應產品或服務的目標人口統計數據以及即將到來的機會。

按組件

硬體
軟體
服務

依技術

機器學習與深度學習
預測分析
電腦視覺

按申請

精準農業
無人機分析
農業機器人
牲畜監測
其他

區域分析

本節涵蓋區域展望，重點介紹北美、歐洲、亞太地區、拉丁美洲以及中東和非洲農業人工智慧市場當前和未來的需求。此外，該報告重點關注所有主要地區各個應用領域的需求、估計和預測。

該研究報告還涵蓋了市場主要參與者的全面概況以及對全球競爭格局的深入了解。農業農業市場的主要參與者包括IBM公司、微軟、迪爾公司、AgEagle Aerial Systems Inc.、Climate Corporation、Granular Inc.、笛卡爾實驗室公司、Prospera Technologies、Taranis、AWhere Inc.、GAMAYA、 Ec2ce、 PrecisionHawk、VineView、Tule Technologies Inc. 本部分包含競爭格局的整體視圖，包括各種策略發展，例如關鍵併購、未來產能、合作夥伴關係、財務概覽、協作、新產品開發、新產品發布，以及其他進展。

如果您有任何客製化要求，請寫信給我們。我們的研究團隊可以根據您的需求提供客製化報告。

區域展望
介紹
北美銷售分析
- 概覽、歷史與預測資料銷售分析
- 北美按細分市場銷售分析
- 北美按國家銷售分析
- 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
- 概覽、歷史與預測資料銷售分析
- 歐洲按細分市場銷售分析
- 歐洲按國家銷售分析
- 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
- 概覽、歷史與預測資料銷售分析
- 亞太地區按細分市場銷售分析
- 亞太地區按國家銷售分析
- 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
- 概覽、歷史與預測資料銷售分析
- 拉丁美洲按細分市場銷售分析
- 拉丁美洲按國家銷售分析
- 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
- 概覽、歷史與預測資料銷售分析
- 中東和非洲按細分市場銷售分析
- 中東和非洲按國家銷售分析
- 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
- 中東其他地區和非洲銷售分析

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的應用
夥伴關係/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
IBM Corporation

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

Deere & Company

公司概況
公司收入
產品
最新動態

AgEagle Aerial Systems Inc.

公司概況
公司收入
產品
最新動態

The Climate Corporation

公司概況
公司收入
產品
最新動態

Granular Inc.

公司概況
公司收入
產品
最新動態

Descartes Labs Inc.

公司概況
公司收入
產品
最新動態

Prospera Technologies

公司概況
公司收入
產品
最新動態

Taranis

公司概況
公司收入
產品
最新動態

AWhere Inc.

公司概況
公司收入
產品
最新動態

GAMAYA

公司概況
公司收入
產品
最新動態

Ec2ce

公司概況
公司收入
產品
最新動態

PrecisionHawk

公司概況
公司收入
產品
最新動態

VineView

公司概況
公司收入
產品
最新動態

Tule Technologies Inc

公司概況
公司收入
產品
最新動態

註 - 在公司概況中，財務詳細資訊和最新發展視情況而定，或對私人公司而言可能不包括在內

簡介目錄圖表

Product Code: VMR11215511

The global demand for Artificial Intelligence in Agriculture Market is presumed to reach the market size of nearly USD 16174.55 Million by 2032 from USD 2026.46 Million in 2023 with a CAGR of 25.96% under the study period 2024-2032.

Artificial Intelligence (AI) in agriculture involves applying machine learning, robotics, and data analytics to improve farming practices and productivity. AI technologies analyze data from sensors, drones, and satellite imagery to monitor soil conditions, crop health, and weather patterns. This empowers farmers to make data-driven decisions concerning planting, irrigation, and pest management. AI in agriculture enhances efficiency, reduces resource usage, and increases yields, addressing challenges such as food security and environmental sustainability. It revolutionizes traditional farming methods, promoting precision agriculture and sustainable practices.

MARKET DYNAMICS

Artificial intelligence in the agriculture market is experiencing rapid growth due to several influential factors. One primary driver is the increasing pressure to enhance agricultural productivity and efficiency to sustainably meet the growing demand for food. AI technologies, such as predictive analytics & machine learning algorithms, offer farmers valuable insights and decision-making capabilities to optimize crop management practices, improve yields, and reduce resource usage. Additionally, the proliferation of precision agriculture techniques, including sensor-based monitoring systems and drones equipped with AI, is driving the adoption of AI in agriculture. These technologies enable farmers to collect & analyze data on soil conditions, weather patterns, crop health, and pest infestations, allowing for targeted interventions and optimized resource allocation. Furthermore, the rising adoption of AI-powered agricultural machinery and robotics, such as autonomous tractors and robotic harvesters, is revolutionizing farming operations and labor efficiency. Government initiatives and subsidies promoting digitalization and modernization of agriculture also drive the adoption of AI technologies in the agricultural sector. Moreover, the increasing availability of AI solutions tailored to the specific needs of farmers, coupled with the declining costs of sensors and data analytics tools, is making AI more accessible to small and medium-sized farms. As farmers continue to seek innovative solutions to improve productivity and sustainability, the demand for artificial intelligence in agriculture is expected to grow significantly in the coming years. However, high implementation costs and a lack of technical expertise may hinder the growth of artificial intelligence in the agriculture market in the next few years.

The research report covers Porter's Five Forces Model, Market Attractiveness Analysis, and Value Chain analysis. These tools help to get a clear picture of the industry's structure and evaluate the competition attractiveness at a global level. Additionally, these tools also give an inclusive assessment of each segment in the global market of Artificial Intelligence in Agriculture. The growth and trends of Artificial Intelligence in Agriculture industry provide a holistic approach to this study.

MARKET SEGMENTATION

This section of the Artificial Intelligence in Agriculture market report provides detailed data on the segments at country and regional level, thereby assisting the strategist in identifying the target demographics for the respective product or services with the upcoming opportunities.

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
Others

REGIONAL ANALYSIS

This section covers the regional outlook, which accentuates current and future demand for the Artificial Intelligence in Agriculture market across North America, Europe, Asia-Pacific, Latin America, and Middle East & Africa. Further, the report focuses on demand, estimation, and forecast for individual application segments across all the prominent regions.

The research report also covers the comprehensive profiles of the key players in the market and an in-depth view of the competitive landscape worldwide. The major players in the Artificial Intelligence in Agriculture market include IBM Corporation, Microsoft, Deere & Company, AgEagle Aerial Systems Inc., The Climate Corporation, Granular Inc., Descartes Labs Inc., Prospera Technologies, Taranis, AWhere Inc., GAMAYA, Ec2ce, PrecisionHawk, VineView, Tule Technologies Inc. This section consists of a holistic view of the competitive landscape that includes various strategic developments such as key mergers & acquisitions, future capacities, partnerships, financial overviews, collaborations, new product developments, new product launches, and other developments.

In case you have any custom requirements, do write to us. Our research team can offer a customized report as per your need.

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. 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. IBM Corporation
- 10.3.1 Company Overview
- 10.3.2 Company Revenue
- 10.3.3 Products
- 10.3.4 Recent Developments
10.4. Microsoft
- 10.4.1 Company Overview
- 10.4.2 Company Revenue
- 10.4.3 Products
- 10.4.4 Recent Developments
10.5. Deere & Company
- 10.5.1 Company Overview
- 10.5.2 Company Revenue
- 10.5.3 Products
- 10.5.4 Recent Developments
10.6. AgEagle Aerial Systems Inc.
- 10.6.1 Company Overview
- 10.6.2 Company Revenue
- 10.6.3 Products
- 10.6.4 Recent Developments
10.7. The Climate Corporation
- 10.7.1 Company Overview
- 10.7.2 Company Revenue
- 10.7.3 Products
- 10.7.4 Recent Developments
10.8. Granular Inc.
- 10.8.1 Company Overview
- 10.8.2 Company Revenue
- 10.8.3 Products
- 10.8.4 Recent Developments
10.9. Descartes Labs Inc.
- 10.9.1 Company Overview
- 10.9.2 Company Revenue
- 10.9.3 Products
- 10.9.4 Recent Developments
10.10. Prospera Technologies
- 10.10.1 Company Overview
- 10.10.2 Company Revenue
- 10.10.3 Products
- 10.10.4 Recent Developments
10.11. Taranis
- 10.11.1 Company Overview
- 10.11.2 Company Revenue
- 10.11.3 Products
- 10.11.4 Recent Developments
10.12. AWhere Inc.
- 10.12.1 Company Overview
- 10.12.2 Company Revenue
- 10.12.3 Products
- 10.12.4 Recent Developments
10.13. GAMAYA
- 10.13.1 Company Overview
- 10.13.2 Company Revenue
- 10.13.3 Products
- 10.13.4 Recent Developments
10.14. Ec2ce
- 10.14.1 Company Overview
- 10.14.2 Company Revenue
- 10.14.3 Products
- 10.14.4 Recent Developments
10.15. PrecisionHawk
- 10.15.1 Company Overview
- 10.15.2 Company Revenue
- 10.15.3 Products
- 10.15.4 Recent Developments
10.16. VineView
- 10.16.1 Company Overview
- 10.16.2 Company Revenue
- 10.16.3 Products
- 10.16.4 Recent Developments
10.17. Tule Technologies Inc
- 10.17.1 Company Overview
- 10.17.2 Company Revenue
- 10.17.3 Products
- 10.17.4 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)
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