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市场调查报告书
商品编码
1697394

人工智慧在作物监测市场的应用—2025-2030 年预测

AI in Crop Monitoring Market - Forecasts from 2025 to 2030
出版日期: | 出版商: Knowledge Sourcing Intelligence | 英文 140 Pages | 商品交期: 最快1-2个工作天内

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简介目录

作物监测市场中的人工智慧预计将从 2025 年的 9.63 亿美元成长到 2030 年的 19.21 亿美元，在预测期内实现 14.80% 的强劲复合年增长率。

由于人工智慧和机器学习演算法的进步，人工智慧在农业作物监测中的应用正在增加。这提高了作物监测能力的准确性。感测器技术和物联网 (IoT) 在捕捉和分析作物健康和农场生长方面变得越来越普遍。此外，精密农业利用资料和技术根据特定地形客製化种植，随着人工智慧应用处理资料并提供所需的分析和见解，精准农业正变得更加有效。

人工智慧作物监测市场驱动因素：

  • 全球对粮食的需求不断增加：全球对粮食的需求不断增加是推动人工智慧作物监测解决方案的主要动力。根据美国国立卫生研究院的研究，预计2030年中国的人均小麦消费量将增加至76公斤，到2050年将增加至95公斤。同时，预计2030年印度的人均小麦消费量将从2019年的60.4公斤增加到74公斤。
  • 政府干预和资助：政府倡议和资金透过支持研究和开发在推动作物监测市场人工智慧方面发挥关键作用。这些政府措施提供的补贴和津贴将使研究人员能够开发新的人工智慧演算法、感测器技术和用于作物监测的分析工具，同时使农民更容易投资人工智慧解决方案。

作物监测市场人工智慧的地理展望：

  • 亚太地区：由于劳动成本上升、土地稀缺和人口成长，亚太地区正在经历成长。中国、印度和日本在该地区主导人工智慧解决方案的采用。
  • 北美：北美对精密农业的投资正在不断增加，尤其是美国和加拿大，这两个国家拥有强大的基础设施和研究基础。
  • 欧洲：欧洲密切关注环境趋势并鼓励对这些技术的投资。德国、法国和英国正在投资永续精准农业概念，并得到政府鼓励采用农业技术的措施的支持。
  • 中东和非洲：中东和非洲是农业人工智慧解决方案的新前沿，沙乌地阿拉伯、阿联酋和南非等干旱地区在作物监测农业技术方面处于领先地位。
  • 南美洲：随着巴西和阿根廷等国家推动采用人工智慧解决方案来应对气候变迁和资源枯竭，南美洲正在经历成长。

为什么要购买这份报告？

  • 深刻分析：获得涵盖主要地区和新兴地区的深入市场洞察，重点关注客户群、政府政策和社会经济因素、消费者偏好、垂直行业和其他子区隔。
  • 竞争格局：了解全球主要企业所采用的策略策略，并了解正确策略带来的潜在市场渗透。
  • 市场趋势和驱动因素：探索动态因素和关键市场趋势以及它们将如何影响未来的市场发展。
  • 可行的建议：利用洞察力做出策略决策，在动态环境中开闢新的业务流和收益。
  • 适用范围广：对于新兴企业、科学研究机构、顾问公司、中小企业、大型企业都有利且划算。

它有什么用途？

产业和市场考量、商业机会评估、产品需求预测、打入市场策略、地理扩张、资本支出决策、法律规范与影响、新产品开发、竞争影响

研究范围

  • 2022年至2030年的历史资料与预测
  • 成长机会、挑战、供应链前景、法规结构、客户行为和趋势分析
  • 竞争定位、策略和市场占有率分析
  • 细分和区域分析，包括收益成长和预测国家
  • 公司概况（特别是主要趋势）

作物监测人工智慧市场细分为：

依技术

  • 机器学习
  • 电脑视觉
  • 预测分析
  • 其他的

按服务

  • 硬体
  • 软体
  • 服务

按应用

  • 病虫害管理
  • 精准灌溉
  • 产量预测
  • 土壤健康监测
  • 除草

按地区

  • 北美洲
  • 美国
  • 加拿大
  • 墨西哥
  • 南美洲
  • 巴西
  • 阿根廷
  • 其他的
  • 欧洲
  • 英国
  • 德国
  • 法国
  • 西班牙
  • 其他的
  • 中东和非洲
  • 沙乌地阿拉伯
  • UAE
  • 其他的
  • 亚太地区
  • 中国
  • 日本
  • 印度
  • 韩国
  • 台湾
  • 澳洲
  • 其他的

目录

第一章 引言

  • 市场概览
  • 市场定义
  • 研究范围
  • 市场区隔
  • 货币
  • 先决条件
  • 基准年和预测年时间表
  • 相关人员的主要利益

第二章调查方法

  • 研究设计
  • 研究过程

第三章执行摘要

  • 主要发现

第四章 市场动态

  • 市场驱动因素
  • 市场限制
  • 波特五力分析
  • 产业价值链分析
  • 分析师观点

第五章作物监测市场中的人工智慧（按技术）

  • 介绍

机器学习：

  • 电脑视觉
  • 预测分析
  • 其他的

第六章作物监测市场中的人工智慧（按服务）

  • 介绍
  • 硬体
  • 软体
  • 服务

第七章 人工智慧在作物监测市场的应用

  • 介绍
  • 病虫害管理
  • 精准灌溉
  • 产量预测
  • 土壤健康监测
  • 除草

第 8 章作物监测人工智慧市场（按地区）

  • 介绍
  • 北美洲
    • 依技术
    • 按服务
    • 按应用
    • 按国家
  • 南美洲
    • 依技术
    • 按服务
    • 按应用
    • 按国家
  • 欧洲
    • 依技术
    • 按服务
    • 按应用
    • 按国家
  • 中东和非洲
    • 依技术
    • 按服务
    • 按应用
    • 按国家
  • 亚太地区
    • 依技术
    • 按服务
    • 按应用
    • 按国家

第九章竞争格局及分析

  • 主要企业和策略分析
  • 市场占有率分析
  • 合併、收购、协议和合作
  • 竞争仪錶板

第十章 公司简介

  • Taranis
  • Plantix
  • Sentera
  • Farmonaut Technologies Pvt. Ltd.
  • EOS Data Analytics, Inc.
  • CropX Inc.
简介目录
Product Code: KSI061617283

The AI in crop monitoring market is set to witness robust growth at a CAGR of 14.80% during the forecast period to be worth US$1.921 billion in 2030 from US$0.963 billion in 2025.

The use of AI in crop monitoring within agriculture is on the rise, driven by advancements in AI and machine learning algorithms. This is enhancing the precision of crop monitoring capabilities. Sensor technology and the Internet of Things (IoT) are gaining traction for understanding and analyzing crop health and farm growth. Additionally, precision farming, which utilizes data and technology to tailor cultivation to specific landforms, has become more effective with AI's application in providing the necessary analysis and insights for data processing.

AI in Crop Monitoring Market Drivers:

  • Increasing Global Food Demand: The growing global demand for food is a primary driver for AI-powered crop monitoring solutions, as they help improve crop yields and resource utilization. According to research from the NIH, China's per capita wheat consumption is projected to increase to 76 kg in 2030 and 95 kg in 2050. Meanwhile, for India, estimates range from 60.4 to 74 kg by 2030, compared to 2019 levels.
  • Government Intervention and Funding: Government initiatives and funding play a significant role in driving the AI in crop monitoring market by supporting research and development. Subsidies and grants from these government initiatives enable researchers to develop new AI algorithms, sensor technologies, and analysis tools for crop monitoring, while also making it easier for farmers to invest in AI-powered solutions.

AI in Crop Monitoring Market Geographical Outlook:

  • Asia-Pacific: The Asia-Pacific region is experiencing growth due to increasing labor costs, land scarcity, and a growing population. China, India, and Japan are leading the adoption of AI solutions in this region.
  • North America: North America is seeing increased investment in precision agriculture, particularly in the US and Canada, benefiting from a robust infrastructure and research base.
  • Europe: Europe is focused on environmental trends, driving investment in these technologies. Germany, France, and the UK are investing in sustainable and precision farming concepts, supported by government initiatives promoting the adoption of agricultural technology.
  • Middle East and Africa: The Middle East and Africa represent new frontiers for AI solutions in agriculture, especially in arid areas such as Saudi Arabia, the UAE, and South Africa, which are key countries for agri-tech in crop monitoring.
  • South America: South America is witnessing growth, driven by the adoption of AI solutions in countries like Brazil and Argentina to address climate change and resource depletion.

Reasons for buying this report:-

  • Insightful Analysis: Gain detailed market insights covering major as well as emerging geographical regions, focusing on customer segments, government policies and socio-economic factors, consumer preferences, industry verticals, other sub- segments.
  • Competitive Landscape: Understand the strategic maneuvers employed by key players globally to understand possible market penetration with the correct strategy.
  • Market Drivers & Future Trends: Explore the dynamic factors and pivotal market trends and how they will shape up future market developments.
  • Actionable Recommendations: Utilize the insights to exercise strategic decision to uncover new business streams and revenues in a dynamic environment.
  • Caters to a Wide Audience: Beneficial and cost-effective for startups, research institutions, consultants, SMEs, and large enterprises.

What do businesses use our reports for?

Industry and Market Insights, Opportunity Assessment, Product Demand Forecasting, Market Entry Strategy, Geographical Expansion, Capital Investment Decisions, Regulatory Framework & Implications, New Product Development, Competitive Intelligence

Report Coverage:

  • Historical data & forecasts from 2022 to 2030
  • Growth Opportunities, Challenges, Supply Chain Outlook, Regulatory Framework, Customer Behaviour, and Trend Analysis
  • Competitive Positioning, Strategies, and Market Share Analysis
  • Revenue Growth and Forecast Assessment of segments and regions including countries
  • Company Profiling (Strategies, Products, Financial Information, and Key Developments among others)

AI in Crop Monitoring Market is analyzed into the following segments:

By Technology

  • Machine Learning
  • Computer Vision
  • Predictive Analytics
  • Others

By Offering

  • Hardware
  • Software
  • Services

By Application

  • Disease and Pest Management
  • Precision Irrigation
  • Yield Prediction
  • Soil Health Monitoring
  • Weed Control

By Geography

  • North America
  • USA
  • Canada
  • Mexico
  • South America
  • Brazil
  • Argentina
  • Others
  • Europe
  • United Kingdom
  • Germany
  • France
  • Spain
  • Others
  • Middle East and Africa
  • Saudi Arabia
  • UAE
  • Others
  • Asia Pacific
  • China
  • Japan
  • India
  • South Korea
  • Taiwan
  • Australia
  • Others

TABLE OF CONTENTS

1. INTRODUCTION

  • 1.1. Market Overview
  • 1.2. Market Definition
  • 1.3. Scope of the Study
  • 1.4. Market Segmentation
  • 1.5. Currency
  • 1.6. Assumptions
  • 1.7. Base and Forecast Years Timeline
  • 1.8. Key benefits for the stakeholders

2. RESEARCH METHODOLOGY

  • 2.1. Research Design
  • 2.2. Research Process

3. EXECUTIVE SUMMARY

  • 3.1. Key Findings

4. MARKET DYNAMICS

  • 4.1. Market Drivers
  • 4.2. Market Restraints
  • 4.3. Porter's Five Forces Analysis
    • 4.3.1. Bargaining Power of Suppliers
    • 4.3.2. Bargaining Power of Buyers
    • 4.3.3. Threat of New Entrants
    • 4.3.4. Threat of Substitutes
    • 4.3.5. Competitive Rivalry in the Industry
  • 4.4. Industry Value Chain Analysis
  • 4.5. Analyst View

5. AI IN CROP MONITORING MARKET BY TECHNOLOGY

  • 5.1. Introduction

5.2. Machine Learning:

  • 5.3. Computer Vision
  • 5.4. Predictive Analytics
  • 5.5. Others

6. AI IN CROP MONITORING MARKET BY OFFERING

  • 6.1. Introduction
  • 6.2. Hardware
  • 6.3. Software
  • 6.4. Services

7. AI IN CROP MONITORING MARKET BY APPLICATION

  • 7.1. Introduction
  • 7.2. Disease and Pest Management
  • 7.3. Precision Irrigation
  • 7.4. Yield Prediction
  • 7.5. Soil Health Monitoring
  • 7.6. Weed Control

8. AI IN CROP MONITORING MARKET BY GEOGRAPHY

  • 8.1. Introduction
  • 8.2. North America
    • 8.2.1. By Technology
    • 8.2.2. By Offering
    • 8.2.3. By Application
    • 8.2.4. By Country
      • 8.2.4.1. USA
      • 8.2.4.2. Canada
      • 8.2.4.3. Mexico
  • 8.3. South America
    • 8.3.1. By Technology
    • 8.3.2. By Offering
    • 8.3.3. By Application
    • 8.3.4. By Country
      • 8.3.4.1. Brazil
      • 8.3.4.2. Argentina
      • 8.3.4.3. Others
  • 8.4. Europe
    • 8.4.1. By Technology
    • 8.4.2. By Offering
    • 8.4.3. By Application
    • 8.4.4. By Country
      • 8.4.4.1. United Kingdom
      • 8.4.4.2. Germany
      • 8.4.4.3. France
      • 8.4.4.4. Spain
      • 8.4.4.5. Others
  • 8.5. Middle East and Africa
    • 8.5.1. By Technology
    • 8.5.2. By Offering
    • 8.5.3. By Application
    • 8.5.4. By Country
      • 8.5.4.1. Saudi Arabia
      • 8.5.4.2. UAE
      • 8.5.4.3. Others
  • 8.6. Asia Pacific
    • 8.6.1. By Technology
    • 8.6.2. By Offering
    • 8.6.3. By Application
    • 8.6.4. By Country
      • 8.6.4.1. China
      • 8.6.4.2. Japan
      • 8.6.4.3. India
      • 8.6.4.4. South Korea
      • 8.6.4.5. Taiwan
      • 8.6.4.6. Others

9. COMPETITIVE ENVIRONMENT AND ANALYSIS

  • 9.1. Major Players and Strategy Analysis
  • 9.2. Market Share Analysis
  • 9.3. Mergers, Acquisitions, Agreements, and Collaborations
  • 9.4. Competitive Dashboard

10. COMPANY PROFILES

  • 10.1. Taranis
  • 10.2. Plantix
  • 10.3. Sentera
  • 10.4. Farmonaut Technologies Pvt. Ltd.
  • 10.5. EOS Data Analytics, Inc.
  • 10.6. CropX Inc.