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人工智能精密农业

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

市场调查报告书

商品编码

1421090

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 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个工作天内

价格

简介目录图表

全球农业人工智慧市场需求预计将从2023年的18.8亿美元达到2032年近126.9亿美元的市场规模，2024-2032年研究期间CAGR为23.64%。

农业AI，即农业人工智慧，是指人工智慧和机器学习技术在农业领域的应用，以优化各种流程，提高效率，提高农业整体生产力。它利用数据驱动的洞察、自动化和预测分析来应对农业和农业综合企业的挑战。

市场动态

农业人工智慧市场受到推动农业领域创新的几个关键因素的推动。全球人口的成长需要增加粮食产量，这使得人工智慧成为优化农业实践的重要工具。人工智慧支持的精准农业使农民能够即时做出数据驱动的决策，从而提高资源效率和产量。无人机和卫星等感测器技术的进步提供了详细的现场资料，人工智慧演算法可以对这些数据进行分析，以获得可行的见解。物联网的日益普及透过促进连网设备的资料收集进一步将人工智慧融入农业。政府的支持性倡议、农业科技投资的增加以及对永续农业实践的日益重视推动了市场的成长。气候变迁挑战、劳动力短缺以及对数据驱动决策的重视也推动了人工智慧在农业中的应用。随着该行业继续优先考虑效率、永续性和復原力，农业人工智慧已做好持续开发和广泛实施的准备，以满足不断变化的农业需求。

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。农业人工智慧产业的成长和趋势为本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

软体
硬体
服务

依技术

预测分析
机器学习与深度学习
电脑视觉

按应用

农业机器人
精耕
牲畜监测
无人机分析
其他的

区域分析

本节涵盖区域前景，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。农业人工智慧市场的主要参与者包括气候公司、IBM公司、微软、AgEagle Aerial Systems Inc.、Deere & Company、Granular Inc.、笛卡尔实验室公司、aWhere Inc.、Prospera Technologies、Taranis、GAMAYA、PrecisionHawk、 ec2ce、VineView、Tule Technologies Inc. 本部分包含竞争格局的整体视图，其中包括各种策略发展，例如关键併购、未来产能、合作伙伴关係、财务概览、合作、新产品开发、新产品发布和其他进展。

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
- 亚太地区国家/地区销售分析
- 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：农业人工智慧公司的竞争格局

农业人工智慧市场竞争
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

公司股份分析
市场集中度
The Climate Corporation

公司简介
公司收入
产品
最近的发展

IBM Corporation

公司简介
公司收入
产品
最近的发展

Microsoft

公司简介
公司收入
产品
最近的发展

AgEagle Aerial Systems Inc.

公司简介
公司收入
产品
最近的发展

Deere & Company

公司简介
公司收入
产品
最近的发展

Granular Inc.

公司简介
公司收入
产品
最近的发展

Descartes Labs Inc.

公司简介
公司收入
产品
最近的发展

aWhere Inc.

公司简介
公司收入
产品
最近的发展

Prospera Technologies

公司简介
公司收入
产品
最近的发展

Taranis

公司简介
公司收入
产品
最近的发展

GAMAYA

公司简介
公司收入
产品
最近的发展

PrecisionHawk

公司简介
公司收入
产品
最近的发展

ec2ce

公司简介
公司收入
产品
最近的发展

VineView

公司简介
公司收入
产品
最近的发展

Tule Technologies Inc.

公司简介
公司收入
产品
最近的发展

注意 - 在公司概况中，财务详细资讯和近期发展视情况而定，或者如果是私人公司，则可能不包括在内

简介目录图表

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