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人工智能精密農業

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

市場調查報告書

商品編碼

1421090

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 Agriculture AI Market Research Report - Industry Analysis, Size, Share, Growth, Trends and Forecast 2024 to 2032

出版日期: 2024年01月01日 | 出版商:

Value Market Research | 英文 221 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需求預計將從2023年的18.8億美元達到2032年近126.9億美元的市場規模，2024-2032年研究期間CAGR為23.64%。

農業AI，即農業人工智慧，是指人工智慧和機器學習技術在農業領域的應用，以最佳化各種流程，提高效率，提高農業整體生產力。它利用數據驅動的洞察、自動化和預測分析來應對農業和農業綜合企業的挑戰。

市場動態

農業人工智慧市場受到推動農業領域創新的幾個關鍵因素的推動。全球人口的成長需要增加糧食產量，這使得人工智慧成為最佳化農業實踐的重要工具。人工智慧支持的精準農業使農民能夠即時做出數據驅動的決策，從而提高資源效率和產量。無人機和衛星等感測器技術的進步提供了詳細的現場資料，人工智慧演算法可以對這些數據進行分析，以獲得可行的見解。物聯網的日益普及透過促進連網設備的資料收集進一步將人工智慧融入農業。政府的支持性舉措、農業科技投資的增加以及對永續農業實踐的日益重視推動了市場的成長。氣候變遷挑戰、勞動力短缺以及對數據驅動決策的重視也推動了人工智慧在農業中的應用。隨著該行業繼續優先考慮效率、永續性和復原力，農業人工智慧已做好持續開發和廣泛實施的準備，以滿足不斷變化的農業需求。

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。農業人工智慧產業的成長和趨勢為本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

軟體
硬體
服務

依技術

預測分析
機器學習與深度學習
電腦視覺

按應用

農業機器人
精耕
牲畜監測
無人機分析
其他

區域分析

本節涵蓋區域前景，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。農業人工智慧市場的主要參與者包括氣候公司、IBM公司、微軟、AgEagle Aerial Systems Inc.、Deere & Company、Granular Inc.、笛卡爾實驗室公司、aWhere Inc.、Prospera Technologies、Taranis、GAMAYA、PrecisionHawk、 ec2ce、VineView、Tule Technologies Inc. 本部分包含競爭格局的整體視圖，其中包括各種策略發展，例如關鍵併購、未來產能、合作夥伴關係、財務概覽、合作、新產品開發、新產品發布和其他進展。

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
- 亞太地區國家/地區銷售分析
- 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：農業人工智慧公司的競爭格局

農業人工智慧市場競爭
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

公司股份分析
市場集中度
The Climate Corporation

公司簡介
公司收入
產品
最近的發展

IBM Corporation

公司簡介
公司收入
產品
最近的發展

Microsoft

公司簡介
公司收入
產品
最近的發展

AgEagle Aerial Systems Inc.

公司簡介
公司收入
產品
最近的發展

Deere & Company

公司簡介
公司收入
產品
最近的發展

Granular Inc.

公司簡介
公司收入
產品
最近的發展

Descartes Labs Inc.

公司簡介
公司收入
產品
最近的發展

aWhere Inc.

公司簡介
公司收入
產品
最近的發展

Prospera Technologies

公司簡介
公司收入
產品
最近的發展

Taranis

公司簡介
公司收入
產品
最近的發展

GAMAYA

公司簡介
公司收入
產品
最近的發展

PrecisionHawk

公司簡介
公司收入
產品
最近的發展

ec2ce

公司簡介
公司收入
產品
最近的發展

VineView

公司簡介
公司收入
產品
最近的發展

Tule Technologies Inc.

公司簡介
公司收入
產品
最近的發展

注意 - 在公司概況中，財務詳細資訊和近期發展視情況而定，或者如果是私人公司，則可能不包括在內

簡介目錄圖表

Product Code: VMR112113497

The global demand for Agriculture AI Market is presumed to reach the market size of nearly USD 12.69 Billion by 2032 from USD 1.88 Billion in 2023 with a CAGR of 23.64% under the study period 2024 - 2032.

Agriculture AI, or Agricultural Artificial Intelligence, refers to the application of AI and ML technologies in the field of agriculture to optimize various processes, enhance efficiency, and improve overall agricultural productivity. It leverages data-driven insights, automation, and predictive analytics to address challenges in farming and agribusiness.

MARKET DYNAMICS

The agriculture AI market is propelled by several key factors that drive innovation in the agricultural sector. The growing global population necessitates increased food production, making AI an essential tool for optimizing farming practices. Precision agriculture, enabled by AI, allows farmers to make data-driven decisions in real-time, enhancing resource efficiency and yields. Advancements in sensor technologies, including drones and satellites, provide detailed field data, which AI algorithms analyze for actionable insights. The rising adoption of the IoT further integrates AI into agriculture by facilitating data collection from connected devices. The growth of the market is propelled by supportive government initiatives, rising investments in agtech, and a growing emphasis on sustainable farming practices. Climate change challenges, labor shortages, and the emphasis on data-driven decision-making also drive the adoption of AI in agriculture. As the sector continues to prioritize efficiency, sustainability, and resilience, Agriculture AI is poised for ongoing development and widespread implementation to address evolving agricultural demands.

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 agriculture ai. The growth and trends of agriculture ai industry provide a holistic approach to this study.

MARKET SEGMENTATION

This section of the agriculture ai 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

Software
Hardware
Service

By Technology

Predictive Analytics
Machine Learning & Deep Learning
Computer Vision

By Application

Agriculture Robots
Precision Farming
Livestock Monitoring
Drone Analytics
Others

REGIONAL ANALYSIS

This section covers the regional outlook, which accentuates current and future demand for the Agriculture AI 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 Agriculture AI market include The Climate Corporation, IBM Corporation, Microsoft, AgEagle Aerial Systems Inc., Deere & Company, Granular Inc., Descartes Labs Inc., aWhere Inc., Prospera Technologies, Taranis, GAMAYA, PrecisionHawk, ec2ce, 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 . AGRICULTURE AI - 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 AGRICULTURE AI MARKET ANALYSIS BY COMPONENT

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

6 . GLOBAL AGRICULTURE AI MARKET ANALYSIS BY TECHNOLOGY

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

7 . GLOBAL AGRICULTURE AI MARKET ANALYSIS BY APPLICATION

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

8 . GLOBAL AGRICULTURE AI 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 State 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 AGRICULTURE AI COMPANIES

9.1. Agriculture Ai 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 AGRICULTURE AI INDUSTRY

10.1. Company Share Analysis
10.2. Market Concentration Rate
10.3. The Climate Corporation
- 10.3.1. Company Overview
- 10.3.2. Company Revenue
- 10.3.3. Products
- 10.3.4. Recent Developments
10.4. IBM Corporation
- 10.4.1. Company Overview
- 10.4.2. Company Revenue
- 10.4.3. Products
- 10.4.4. Recent Developments
10.5. Microsoft
- 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. Deere & Company
- 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. aWhere Inc.
- 10.10.1. Company Overview
- 10.10.2. Company Revenue
- 10.10.3. Products
- 10.10.4. Recent Developments
10.11. Prospera Technologies
- 10.11.1. Company Overview
- 10.11.2. Company Revenue
- 10.11.3. Products
- 10.11.4. Recent Developments
10.12. Taranis
- 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. PrecisionHawk
- 10.14.1. Company Overview
- 10.14.2. Company Revenue
- 10.14.3. Products
- 10.14.4. Recent Developments
10.15. ec2ce
- 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