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北美人工智慧農業市場預測至 2030 年 - 區域分析 - 按組件（硬體、軟體和服務）和應用（精準農業、無人機分析、農業機器人、牲畜監測等）
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商品編碼
1567901

北美人工智慧農業市場預測至 2030 年 - 區域分析 - 按組件（硬體、軟體和服務）和應用（精準農業、無人機分析、農業機器人、牲畜監測等）

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 | 訂單完成後即時交付

價格

2022年北美人工智慧農業市場價值為6.4445億美元，預計到2030年將達到31.2697億美元；預計2022年至2030年複合年成長率為21.8%。

農業即時分析的需求不斷成長，推動北美農業市場人工智慧的發展

來自農場的即時資料有助於及時制定預防措施決策。人工智慧提供有關土壤濕度、作物生長和天氣狀況的即時資料和見解，幫助農民做出有關種植、灌溉和施肥的明智決策。例如，使用電腦視覺監測作物生長可以幫助農民及早發現疾病和蟲害等問題，使他們能夠在任何重大損失之前採取行動。北美農民在農場中使用感測器、無人機和土壤樣本來收集與土壤濕度和養分水平相關的資料。美國和加拿大的農民和生產者使用高科技儀器進行資料收集和分析。正確資料的收集可以為多項操作提供適當的計算和最佳化，從而實現更精確的農業和更快的決策。為了進行多種農業操作，例如噴灑害蟲防治化學物質或其他化合物，收集即時資料是必要的。

天氣條件的波動也增加了對即時分析的需求。即時天氣監測有助於精確灌溉、減少水資源浪費並最大限度地提高作物產量。它透過監測有利於害蟲生長的天氣條件來幫助有效控制害蟲，減少對廣譜殺蟲劑的需求。因此，對農業即時分析的需求不斷成長，推動了農業市場的人工智慧。

北美人工智慧農業市場概況

北美農業人工智慧市場分為美國、加拿大和墨西哥。北美市場佔更廣泛的農業技術領域的相當大一部分。由於農業領域擴大採用人工智慧技術，北美農業市場的人工智慧一直以顯著的速度成長。對精準農業技術的需求不斷成長，而包括提高產量的必要性和先進基礎設施的可用性等因素正在推動市場擴張。北美農民和農業企業正在擁抱人工智慧，以提高生產力、最佳化資源配置和改進決策。預測分析、自動化農業系統、作物監測、遙感、精準農業和自動化農業是該地區農業部門使用的一些人工智慧應用。這些工具可幫助農民降低開支、減輕風險、提高產量並做出數據驅動的決策。北美國家政府正在採取支持性法律和努力等舉措，包括監管框架、融資舉措和研究撥款，以鼓勵人工智慧在農業實踐中的部署。此類計畫支持發展有彈性和永續的農業實踐，同時營造有利於人工智慧市場擴張的氛圍。此外，為了利用人工智慧加強緊急應變、農業、氣候預測和電網，美國和歐盟於2023年1月建立了夥伴關係。

北美各地的眾多參與者正在開發多種演算法來開發農業人工智慧。例如，2022 年 10 月，微軟研究院將 FarmVibes 作為開源專案發布。此類產品的推出推動了人工智慧在農業市場的成長。

北美人工智慧農業市場收入及 2030 年預測（百萬美元）

北美人工智慧農業市場細分

北美農業人工智慧市場分為組件、應用程式和國家。

根據組成部分，北美農業人工智慧市場分為硬體、軟體和服務。 2022 年，軟體領域佔據最大的市場佔有率。

從應用來看，北美人工智慧在農業市場主要分為精準農業、無人機分析、農業機器人、牲畜監測等。 2022 年，精準農業領域佔最大的市場佔有率。

依國家分類，北美農業人工智慧市場分為美國、加拿大和墨西哥。 2022年，美國在北美農業人工智慧市場佔有率中佔據主導地位。

Deere & Co、Climate LLC、International Business Machines Corp、Microsoft Corp 和 Taranis 是北美農業人工智慧市場的一些領先公司。

目錄

第 1 章：簡介

第 2 章：執行摘要

  • 主要見解
  • 市場吸引力

第 3 章：研究方法

  • 覆蓋範圍
  • 二次研究
  • 初步研究

第 4 章：農業市場格局中的人工智慧

  • 概述
  • PEST分析
  • 生態系分析
    • 價值鏈供應商名單

第 5 章：北美農業市場中的人工智慧 - 主要市場動態

  • 市場促進因素
    • 農業即時分析的需求不斷增加
    • 政府越來越支持人工智慧解決方案的實施
    • 擴大在農業中使用 Ariel 無人機 (UAV)
  • 限制
    • 技術熟練勞動力短缺
    • 農業設備人工智慧實施成本高
  • 機會
    • 增加智慧農業
    • 發展中國家的潛在成長機會
  • 未來趨勢
    • 農業機器人與自動化
  • 促進因素和限制的影響：

第 6 章：農業市場中的人工智慧 - 北美分析

  • 人工智慧在農業市場收入，2020-2030
  • 人工智慧在農業市場預測分析

第 7 章：北美農業人工智慧市場分析 - 按組成部分

  • 硬體
  • 軟體
  • 服務

第 8 章：北美農業人工智慧市場分析 - 按應用

  • 精準農業
  • 無人機分析
  • 農業機器人
  • 牲畜監測
  • 其他

第 9 章：農業市場中的人工智慧 - 國家分析

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥

第 10 章：競爭格局

  • 關鍵參與者的熱圖分析
  • 公司定位與專注

第 11 章：產業格局

  • 概述
  • 市場主動性
  • 產品開發
  • 併購

第 12 章：公司簡介

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

第 13 章：附錄

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