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人工智能精密农业

市场调查报告书

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1547405

全球农业人工智慧市场研究报告 - 2024 年至 2032 年产业分析、规模、份额、成长、趋势和预测

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个工作天内

价格

简介目录图表

全球农业市场人工智慧需求预计将从2023年的202646万美元达到2032年近1617455万美元的市场规模，2024-2032年研究期间复合年增长率为25.96%。

农业中的人工智慧 (AI) 涉及应用机器学习、机器人技术和资料分析来改善农业实践和生产力。人工智慧技术分析来自感测器、无人机和卫星影像的资料，以监测土壤状况、作物健康和天气模式。这使农民能够做出有关种植、灌溉和害虫管理的数据驱动决策。农业中的人工智慧可以提高效率、减少资源使用并提高产量，从而应对粮食安全和环境永续性等挑战。它彻底改变了传统农业方法，促进精准农业和永续实践。

市场动态

由于多种影响因素，农业市场中的人工智慧正在快速成长。主要驱动因素之一是提高农业生产力和效率以可持续满足日益增长的粮食需求的压力越来越大。预测分析和机器学习演算法等人工智慧技术为农民提供了宝贵的见解和决策能力，以优化作物管理实践、提高产量并减少资源使用。此外，精准农业技术的普及，包括基于感测器的监控系统和配备人工智慧的无人机，正在推动人工智慧在农业中的采用。这些技术使农民能够收集和分析有关土壤条件、天气模式、作物健康和虫害的资料，从而实现有针对性的干预措施和优化资源分配。此外，人工智慧驱动的农业机械和机器人（例如自动拖拉机和机器人收割机）的日益普及正在彻底改变农业作业和劳动效率。促进农业数位化和现代化的政府措施和补贴也推动了人工智慧技术在农业领域的采用。此外，针对农民特定需求的人工智慧解决方案的不断增加，加上感测器和资料分析工具成本的下降，使得中小型农场更容易使用人工智慧。随着农民不断寻求创新解决方案以提高生产力和永续性，农业人工智慧的需求预计在未来几年将大幅成长。然而，高昂的实施成本和缺乏技术专业知识可能会阻碍未来几年人工智慧在农业市场的成长。

研究报告涵盖波特五力模型、市场吸引力分析和价值链分析。这些工具有助于清晰地了解行业结构并评估全球范围内的竞争吸引力。此外，这些工具也对全球农业人工智慧市场的各个细分市场进行了包容性评估。农业领域人工智慧的成长和趋势为这项研究提供了整体方法。

市场区隔

农业人工智慧市场报告的这一部分提供了有关国家和区域层面细分市场的详细资料，从而帮助策略家确定相应产品或服务的目标人口统计数据以及即将到来的机会。

按组件

硬体
软体
服务

依技术

机器学习与深度学习
预测分析
电脑视觉

按申请

精准农业
无人机分析
农业机器人
牲畜监测
其他的

区域分析

本节涵盖区域展望，重点介绍北美、欧洲、亚太地区、拉丁美洲以及中东和非洲农业人工智慧市场当前和未来的需求。此外，该报告重点关注所有主要地区各个应用领域的需求、估计和预测。

该研究报告还涵盖了市场主要参与者的全面概况以及对全球竞争格局的深入了解。农业农业市场的主要参与者包括IBM公司、微软、迪尔公司、AgEagle Aerial Systems Inc.、Climate Corporation、Granular Inc.、笛卡尔实验室公司、Prospera Technologies、Taranis、AWhere Inc.、GAMAYA、 Ec2ce、 PrecisionHawk、VineView、Tule Technologies Inc. 本部分包含竞争格局的整体视图，包括各种策略发展，例如关键併购、未来产能、合作伙伴关係、财务概览、协作、新产品开发、新产品发布，以及其他进展。

如果您有任何客製化要求，请写信给我们。我们的研究团队可以根据您的需求提供客製化报告。

区域展望
介绍
北美销售分析
- 概览、历史与预测资料销售分析
- 北美按细分市场销售分析
- 北美按国家销售分析
- 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
- 概览、历史与预测资料销售分析
- 欧洲按细分市场销售分析
- 欧洲按国家销售分析
- 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
- 概览、历史与预测资料销售分析
- 亚太地区按细分市场销售分析
- 亚太地区按国家销售分析
- 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
- 概览、历史与预测资料销售分析
- 拉丁美洲按细分市场销售分析
- 拉丁美洲按国家销售分析
- 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
- 概览、历史与预测资料销售分析
- 中东和非洲按细分市场销售分析
- 中东和非洲按国家销售分析
- 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
- 中东其他地区和非洲销售分析

第 9 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的应用
伙伴关係/协作/协议
併购
新产品发布
其他发展

第 10 章：公司简介

顶级公司市占率分析
市场集中度
IBM Corporation

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

Deere & Company

公司概况
公司收入
产品
最新动态

AgEagle Aerial Systems Inc.

公司概况
公司收入
产品
最新动态

The Climate Corporation

公司概况
公司收入
产品
最新动态

Granular Inc.

公司概况
公司收入
产品
最新动态

Descartes Labs Inc.

公司概况
公司收入
产品
最新动态

Prospera Technologies

公司概况
公司收入
产品
最新动态

Taranis

公司概况
公司收入
产品
最新动态

AWhere Inc.

公司概况
公司收入
产品
最新动态

GAMAYA

公司概况
公司收入
产品
最新动态

Ec2ce

公司概况
公司收入
产品
最新动态

PrecisionHawk

公司概况
公司收入
产品
最新动态

VineView

公司概况
公司收入
产品
最新动态

Tule Technologies Inc

公司概况
公司收入
产品
最新动态

註 - 在公司概况中，财务详细资讯和最新发展视情况而定，或对私人公司而言可能不包括在内

简介目录图表

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

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)
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