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北美人工智慧农业市场预测至 2030 年 - 区域分析 - 按组件（硬体、软体和服务）和应用（精准农业、无人机分析、农业机器人、牲畜监测等）
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1567901

北美人工智慧农业市场预测至 2030 年 - 区域分析 - 按组件（硬体、软体和服务）和应用（精准农业、无人机分析、农业机器人、牲畜监测等）

North America Artificial Intelligence in Agriculture Market Forecast to 2030 - Regional Analysis - by Component (Hardware, Software, and Services) and Application (Precision Farming, Drone Analytics, Agriculture Robots, Livestock Monitoring, and Others)
出版日期: | 出版商: The Insight Partners | 英文 95 Pages | 订单完成后即时交付

价格

2022年北美人工智慧农业市场价值为6.4445亿美元，预计到2030年将达到31.2697亿美元；预计2022年至2030年复合年增长率为21.8%。

农业即时分析的需求不断增长，推动北美农业市场人工智慧的发展

来自农场的即时资料有助于及时制定预防措施决策。人工智慧提供有关土壤湿度、作物生长和天气状况的即时资料和见解，帮助农民做出有关种植、灌溉和施肥的明智决策。例如，使用电脑视觉监测作物生长可以帮助农民及早发现疾病和虫害等问题，使他们能够在任何重大损失之前采取行动。北美农民在农场中使用感测器、无人机和土壤样本来收集与土壤湿度和养分水平相关的资料。美国和加拿大的农民和生产者使用高科技仪器进行资料收集和分析。正确资料的收集可以为多项操作提供适当的计算和最佳化，从而实现更精确的农业和更快的决策。为了进行多种农业操作，例如喷洒害虫防治化学物质或其他化合物，收集即时资料是必要的。

天气条件的波动也增加了对即时分析的需求。即时天气监测有助于精确灌溉、减少水资源浪费并最大限度地提高作物产量。它透过监测有利于害虫生长的天气条件来帮助有效控制害虫，减少对广谱杀虫剂的需求。因此，对农业即时分析的需求不断增长，推动了农业市场的人工智慧。

北美人工智慧农业市场概况

北美农业人工智慧市场分为美国、加拿大和墨西哥。北美市场占更广泛的农业技术领域的相当大一部分。由于农业领域越来越多地采用人工智慧技术，北美农业市场的人工智慧一直以显着的速度成长。对精准农业技术的需求不断增长，而包括提高产量的必要性和先进基础设施的可用性等因素正在推动市场扩张。北美农民和农业企业正在拥抱人工智慧，以提高生产力、优化资源配置和改进决策。预测分析、自动化农业系统、作物监测、遥感、精准农业和自动化农业是该地区农业部门使用的一些人工智慧应用。这些工具可帮助农民降低开支、减轻风险、提高产量并做出数据驱动的决策。北美国家政府正在采取支持性法律和努力等倡议，包括监管框架、融资倡议和研究拨款，以鼓励人工智慧在农业实践中的部署。此类计画支持发展有弹性和永续的农业实践，同时营造有利于人工智慧市场扩张的氛围。此外，为了利用人工智慧加强紧急应变、农业、气候预测和电网，美国和欧盟于2023年1月建立了伙伴关係。

北美各地的众多参与者正在开发多种演算法来开发农业人工智慧。例如，2022 年 10 月，微软研究院将 FarmVibes 作为开源专案发布。此类产品的推出推动了人工智慧在农业市场的成长。

北美人工智慧农业市场收入及 2030 年预测（百万美元）

北美人工智慧农业市场细分

北美农业人工智慧市场分为组件、应用程式和国家。

根据组成部分，北美农业人工智慧市场分为硬体、软体和服务。 2022 年，软体领域占据最大的市场份额。

从应用来看，北美人工智慧在农业市场主要分为精准农业、无人机分析、农业机器人、牲畜监测等。 2022 年，精准农业领域占最大的市场份额。

依国家划分，北美农业人工智慧市场分为美国、加拿大和墨西哥。 2022年，美国在北美农业人工智慧市场份额中占据主导地位。

Deere & Co、Climate LLC、International Business Machines Corp、Microsoft Corp 和 Taranis 是北美农业人工智慧市场的一些领先公司。

目录

第 1 章：简介

第 2 章：执行摘要

  • 主要见解
  • 市场吸引力

第 3 章：研究方法

  • 覆盖范围
  • 二次研究
  • 初步研究

第 4 章：农业市场格局中的人工智慧

  • 概述
  • PEST分析
  • 生态系分析
    • 价值链供应商名单

第 5 章：北美农业市场中的人工智慧 - 主要市场动态

  • 市场驱动因素
    • 农业即时分析的需求不断增加
    • 政府越来越支持人工智慧解决方案的实施
    • 越来越多地在农业中使用 Ariel 无人机 (UAV)
  • 限制
    • 技术熟练劳动力短缺
    • 农业设备人工智慧实施成本高
  • 机会
    • 增加智慧农业
    • 发展中国家的潜在成长机会
  • 未来趋势
    • 农业机器人与自动化
  • 驱动因素和限制的影响：

第 6 章：农业市场中的人工智慧 - 北美分析

  • 人工智慧在农业市场收入，2020-2030
  • 人工智慧在农业市场预测分析

第 7 章：北美农业人工智慧市场分析 - 按组成部分

  • 硬体
  • 软体
  • 服务

第 8 章：北美农业人工智慧市场分析 - 按应用

  • 精准农业
  • 无人机分析
  • 农业机器人
  • 牲畜监测
  • 其他的

第 9 章：农业市场中的人工智慧 - 国家分析

  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥

第 10 章：竞争格局

  • 关键参与者的热图分析
  • 公司定位与专注

第 11 章：产业格局

  • 概述
  • 市场主动性
  • 产品开发
  • 併购

第 12 章：公司简介

  • Tule Technologies Inc
  • Deere & Co
  • Climate LLC
  • Gamaya SA
  • International Business Machines Corp
  • Microsoft Corp
  • Prospera Technologies Ltd
  • Taranis

第 13 章：附录

Product Code: BMIRE00030615

The North America artificial intelligence in agriculture market was valued at US$ 644.45 million in 2022 and is expected to reach US$ 3,126.97 million by 2030; it is estimated to record a CAGR of 21.8% from 2022 to 2030.

Increasing Need for Real-Time Analytics in Agriculture Fuels North America Artificial Intelligence in Agriculture Market

Real-time data from agricultural farms enables timely decision-making for preventative measures. AI provides real-time data and insights on soil moisture, crop growth, and weather conditions, which helps farmers make informed decisions about planting, irrigation, and fertilization. For instance, using computer vision to monitor crop growth can help farmers identify issues such as disease and pest infestation early, allowing them to take action before any significant damage. Farmers in North America employ sensors, drones, and soil samples in their farms to collect data related to soil moisture and nutrient levels. Farmers and producers in the US and Canada use high-tech instruments for data collection and analysis. The collection of the right data provides appropriate calculations and optimization of several operations, allowing more precise agriculture and faster decisions. For carrying out several agricultural operations, such as spraying pest-control chemicals or other compounds, the collection of real-time data is necessary.

The fluctuation in weather conditions has also surged the need for real-time analytics. Real-time weather monitoring assists in precise irrigation, reducing water wastage, and maximizing crop yield. It aids in effective pest control by monitoring weather conditions that favor pests, reducing the need for broad-spectrum pesticides. Thus, the increasing need for real-time analytics in agriculture drives the AI in agriculture market.

North America Artificial Intelligence in Agriculture Market Overview

The North America AI in agriculture market is segmented into the US, Canada, and Mexico. The market in North America represents a sizeable portion of the broader agricultural technology sector. The AI in agricultural market in North America has been growing at a significant rate due to the growing adoption of AI technology in the agriculture sector. The demand for precision farming techniques is growing, and factors, including the necessity for greater production and the availability of advanced infrastructure, are driving the market expansion. AI is being embraced by farmers and agricultural enterprises in North America in order to increase productivity, optimize resource allocation, and improve decision-making. Predictive analytics, automated farming systems, crop monitoring, remote sensing, precision agriculture, and automated farming are a few of the AI applications used in the region's agriculture sector. These tools assist farmers in lowering expenses, mitigating risks, increasing yields, and making data-driven decisions. The governments of North American countries are taking initiatives such as supportive laws and efforts, including regulatory frameworks, financing initiatives, and research grants, to encourage the deployment of AI in agriculture practices. Such programs support the development of resilient and sustainable agriculture practices while creating an atmosphere that is favorable for the expansion of the AI market. Furthermore, in order to leverage AI to enhance emergency response, agriculture, climate forecasting, and the electric grid, the US and the EU formed a partnership in January 2023.

Various players across North America are developing several algorithms to develop AI in agriculture. For example, in October 2022, Microsoft Research released FarmVibes as an open-source project. Such launches propelling the growth of AI in agriculture market.

North America Artificial Intelligence in Agriculture Market Revenue and Forecast to 2030 (US$ Million)

North America Artificial Intelligence in Agriculture Market Segmentation

The North America artificial intelligence in agriculture market is categorized into components, application, and country.

Based on component, the North America artificial intelligence in agriculture market is categorized into hardware, software, and services. The software segment held the largest market share in 2022.

In terms of application, the North America artificial intelligence in agriculture market is categorized into precision farming, drone analytics, agriculture robots, livestock monitoring, and others. The precision farming segment held the largest market share in 2022.

By country, the North America artificial intelligence in agriculture market is segmented into the US, Canada, and Mexico. The US dominated the North America artificial intelligence in agriculture market share in 2022.

Deere & Co, Climate LLC, International Business Machines Corp, Microsoft Corp, and Taranis are some of the leading companies operating in the North America artificial intelligence in agriculture market.

Table Of Contents

1. Introduction

  • 1.1 The Insight Partners Research Report Guidance
  • 1.2 Market Segmentation

2. Executive Summary

  • 2.1 Key Insights
  • 2.2 Market Attractiveness

3. Research Methodology

  • 3.1 Coverage
  • 3.2 Secondary Research
  • 3.3 Primary Research

4. Artificial Intelligence in Agriculture Market Landscape

  • 4.1 Overview
  • 4.2 PEST Analysis
  • 4.3 Ecosystem Analysis
    • 4.3.1 List of Vendors in the Value Chain

5. North America Artificial Intelligence in Agriculture Market - Key Market Dynamics

  • 5.1 Market Drivers
    • 5.1.1 Increasing Need for Real-Time Analytics in Agriculture
    • 5.1.2 Growing Government Support for Implementation of AI Solution
    • 5.1.3 Growing Use of Unmanned Ariel Vehicles (UAVs) in Farming
  • 5.2 Restraints
    • 5.2.1 Shortage of Technically Skilled Labour
    • 5.2.2 High Implementation Cost of AI in Farming Equipment
  • 5.3 Opportunity
    • 5.3.1 Increasing Smart Farming
    • 5.3.2 Potential Growth Opportunities in Developing Countries
  • 5.4 Future Trend
    • 5.4.1 Robotics and Automation in Agriculture
  • 5.5 Impact of Drivers and Restraints:

6. Artificial Intelligence in Agriculture Market - North America Analysis

  • 6.1 Artificial Intelligence in Agriculture Market Revenue (US$ Million), 2020-2030
  • 6.2 Artificial Intelligence in Agriculture Market Forecast Analysis

7. North America Artificial Intelligence in Agriculture Market Analysis - by Component

  • 7.1 Hardware
    • 7.1.1 Overview
    • 7.1.2 Hardware: Artificial Intelligence in Agriculture Market - Revenue and Forecast to 2030 (US$ Million)
  • 7.2 Software
    • 7.2.1 Overview
    • 7.2.2 Software: Artificial Intelligence in Agriculture Market - Revenue and Forecast to 2030 (US$ Million)
  • 7.3 Services
    • 7.3.1 Overview
    • 7.3.2 Services: Artificial Intelligence in Agriculture Market - Revenue and Forecast to 2030 (US$ Million)

8. North America Artificial Intelligence in Agriculture Market Analysis - by Application

  • 8.1 Precision Farming
    • 8.1.1 Overview
    • 8.1.2 Precision Farming: Artificial Intelligence in Agriculture Market - Revenue and Forecast to 2030 (US$ Million)
  • 8.2 Drone Analytics
    • 8.2.1 Overview
    • 8.2.2 Drone Analytics: Artificial Intelligence in Agriculture Market - Revenue and Forecast to 2030 (US$ Million)
  • 8.3 Agriculture Robots
    • 8.3.1 Overview
    • 8.3.2 Agriculture Robots: Artificial Intelligence in Agriculture Market - Revenue and Forecast to 2030 (US$ Million)
  • 8.4 Livestock Monitoring
    • 8.4.1 Overview
    • 8.4.2 Livestock Monitoring: Artificial Intelligence in Agriculture Market - Revenue and Forecast to 2030 (US$ Million)
  • 8.5 Others
    • 8.5.1 Overview
    • 8.5.2 Others: Artificial Intelligence in Agriculture Market - Revenue and Forecast to 2030 (US$ Million)

9. Artificial Intelligence in Agriculture Market - Country Analysis

  • 9.1 North America Artificial Intelligence in Agriculture Market Overview
    • 9.1.1 North America: Artificial Intelligence in Agriculture Market - Revenue and Forecast Analysis - by Country
      • 9.1.1.1 North America: Artificial Intelligence in Agriculture Market - Revenue and Forecast Analysis - by Country
      • 9.1.1.2 United States: Artificial Intelligence in Agriculture Market - Revenue and Forecast to 2030 (US$ Million)
        • 9.1.1.2.1 United States: Artificial Intelligence in Agriculture Market Breakdown, by Component
        • 9.1.1.2.2 United States: Artificial Intelligence in Agriculture Market Breakdown, by Application
      • 9.1.1.3 Canada: Artificial Intelligence in Agriculture Market - Revenue and Forecast to 2030 (US$ Million)
        • 9.1.1.3.1 Canada: Artificial Intelligence in Agriculture Market Breakdown, by Component
        • 9.1.1.3.2 Canada: Artificial Intelligence in Agriculture Market Breakdown, by Application
      • 9.1.1.4 Mexico: Artificial Intelligence in Agriculture Market - Revenue and Forecast to 2030 (US$ Million)
        • 9.1.1.4.1 Mexico: Artificial Intelligence in Agriculture Market Breakdown, by Component
        • 9.1.1.4.2 Mexico: Artificial Intelligence in Agriculture Market Breakdown, by Application

10. Competitive Landscape

  • 10.1 Heat Map Analysis by Key Players
  • 10.2 Company Positioning & Concentration

11. Industry Landscape

  • 11.1 Overview
  • 11.2 Market Initiative
  • 11.3 Product Development
  • 11.4 Mergers & Acquisitions

12. Company Profiles

  • 12.1 Tule Technologies Inc
    • 12.1.1 Key Facts
    • 12.1.2 Business Description
    • 12.1.3 Products and Services
    • 12.1.4 Financial Overview
    • 12.1.5 SWOT Analysis
    • 12.1.6 Key Developments
  • 12.2 Deere & Co
    • 12.2.1 Key Facts
    • 12.2.2 Business Description
    • 12.2.3 Products and Services
    • 12.2.4 Financial Overview
    • 12.2.5 SWOT Analysis
    • 12.2.6 Key Developments
  • 12.3 Climate LLC
    • 12.3.1 Key Facts
    • 12.3.2 Business Description
    • 12.3.3 Products and Services
    • 12.3.4 Financial Overview
    • 12.3.5 SWOT Analysis
    • 12.3.6 Key Developments
  • 12.4 Gamaya SA
    • 12.4.1 Key Facts
    • 12.4.2 Business Description
    • 12.4.3 Products and Services
    • 12.4.4 Financial Overview
    • 12.4.5 SWOT Analysis
    • 12.4.6 Key Developments
  • 12.5 International Business Machines Corp
    • 12.5.1 Key Facts
    • 12.5.2 Business Description
    • 12.5.3 Products and Services
    • 12.5.4 Financial Overview
    • 12.5.5 SWOT Analysis
    • 12.5.6 Key Developments
  • 12.6 Microsoft Corp
    • 12.6.1 Key Facts
    • 12.6.2 Business Description
    • 12.6.3 Products and Services
    • 12.6.4 Financial Overview
    • 12.6.5 SWOT Analysis
    • 12.6.6 Key Developments
  • 12.7 Prospera Technologies Ltd
    • 12.7.1 Key Facts
    • 12.7.2 Business Description
    • 12.7.3 Products and Services
    • 12.7.4 Financial Overview
    • 12.7.5 SWOT Analysis
    • 12.7.6 Key Developments
  • 12.8 Taranis
    • 12.8.1 Key Facts
    • 12.8.2 Business Description
    • 12.8.3 Products and Services
    • 12.8.4 Financial Overview
    • 12.8.5 SWOT Analysis
    • 12.8.6 Key Developments

13. Appendix

  • 13.1 Word Index
  • 13.2 About The Insight Partners

List Of Tables

  • Table 1. Artificial Intelligence in Agriculture Market Segmentation
  • Table 2. List of Vendors
  • Table 3. Artificial Intelligence in Agriculture Market - Revenue and Forecast to 2030 (US$ Million)
  • Table 4. Artificial Intelligence in Agriculture Market - Revenue and Forecast to 2030 (US$ Million) - by Component
  • Table 5. Artificial Intelligence in Agriculture Market - Revenue and Forecast to 2030 (US$ Million) - by Application
  • Table 6. North America: Artificial Intelligence in Agriculture Market - Revenue and Forecast to 2030 (US$ Million) - by Country
  • Table 7. United States: Artificial Intelligence in Agriculture Market - Revenue and Forecast to 2030 (US$ Million) - by Component
  • Table 8. United States: Artificial Intelligence in Agriculture Market - Revenue and Forecast to 2030 (US$ Million) - by Application
  • Table 9. Canada: Artificial Intelligence in Agriculture Market - Revenue and Forecast to 2030 (US$ Million) - by Component
  • Table 10. Canada: Artificial Intelligence in Agriculture Market - Revenue and Forecast to 2030 (US$ Million) - by Application
  • Table 11. Mexico: Artificial Intelligence in Agriculture Market - Revenue and Forecast to 2030 (US$ Million) - by Component
  • Table 12. Mexico: Artificial Intelligence in Agriculture Market - Revenue and Forecast to 2030 (US$ Million) - by Application
  • Table 13. Company Positioning & Concentration
  • Table 14. List of Abbreviation

List Of Figures

  • Figure 1. Artificial Intelligence in Agriculture Market Segmentation, by Country
  • Figure 2. PEST Analysis
  • Figure 3. Artificial Intelligence in Agriculture Market - Key Market Dynamics
  • Figure 4. Impact Analysis of Drivers and Restraints
  • Figure 5. Artificial Intelligence in Agriculture Market Revenue (US$ Million), 2020-2030
  • Figure 6. Artificial Intelligence in Agriculture Market Share (%) - by Component (2022 and 2030)
  • Figure 7. Hardware: Artificial Intelligence in Agriculture Market - Revenue and Forecast to 2030 (US$ Million)
  • Figure 8. Software: Artificial Intelligence in Agriculture Market - Revenue and Forecast to 2030 (US$ Million)
  • Figure 9. Services: Artificial Intelligence in Agriculture Market - Revenue and Forecast to 2030 (US$ Million)
  • Figure 10. Artificial Intelligence in Agriculture Market Share (%) - by Application (2022 and 2030)
  • Figure 11. Precision Farming: Artificial Intelligence in Agriculture Market - Revenue and Forecast to 2030 (US$ Million)
  • Figure 12. Drone Analytics: Artificial Intelligence in Agriculture Market - Revenue and Forecast to 2030 (US$ Million)
  • Figure 13. Agriculture Robots: Artificial Intelligence in Agriculture Market - Revenue and Forecast to 2030 (US$ Million)
  • Figure 14. Livestock Monitoring: Artificial Intelligence in Agriculture Market - Revenue and Forecast to 2030 (US$ Million)
  • Figure 15. Others: Artificial Intelligence in Agriculture Market - Revenue and Forecast to 2030 (US$ Million)
  • Figure 16. North America: Artificial Intelligence in Agriculture Market, by Key Country - Revenue (2022) (US$ Million)
  • Figure 17. North America: Artificial Intelligence in Agriculture Market Breakdown, by Key Countries, 2022 and 2030 (%)
  • Figure 18. United States: Artificial Intelligence in Agriculture Market - Revenue and Forecast to 2030 (US$ Million)
  • Figure 19. Canada: Artificial Intelligence in Agriculture Market - Revenue and Forecast to 2030 (US$ Million)
  • Figure 20. Mexico: Artificial Intelligence in Agriculture Market - Revenue and Forecast to 2030 (US$ Million)
  • Figure 21. Heat Map Analysis by Key Players