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市场调查报告书
商品编码
1574130

农业人工智慧市场：2024-2029 年预测

AI for Agriculture Market - Forecasts from 2024 to 2029
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

价格
简介目录

农业人工智慧市场预计复合年增长率为24.57%，市场规模从2024年的2,021,502,000美元成长到2029年的6,062,706,000美元。

农场每天都会生成温度、土壤、用水量和天气等变数。人工智慧 (AI) 和机器学习模型即时使用这些资料来提供见解，例如确定最佳播种时间、选择作物、选择混合种子以提高产量以及做出其他农业决策。精密农业，也称为智慧型系统，有助于提高产量的整体价值和准确性。人工智慧可以帮助识别害虫、植物疾病和营养不良侵扰农场。人工智慧感测器可以在选择在某个区域散布哪种除草剂之前检测并瞄准杂草。

多家科技公司开发了利用影像处理技术和人工智慧，并用喷枪精确监测杂草的机器人。这些机器人可以透过消除经常散布在农作物上的大量化学物质来降低除草剂价格。透过大幅减少田间所需农药的数量，这些先进的人工智慧散布可以提高农业生产的标准。

农业人工智慧市场的驱动因素：

  • 日益全球化和新技术的采用预计将推动市场成长

客户对农产品的需求不断增长预计将推动市场价值成长。现代农业技术、政府措施和法规也在促进工业化。研发成本的变化、无人机使用的增加以及形式的变化正在增加产品的意义并有助于市场扩张。为了增加农业产量，政府正在透过州立农业大学 (SAU) 和印度农业研究委员会 (ICAR) 鼓励该领域的研究与发展 (R&D)。 2023-2024年，农业研究与教育部（DARE）的预算将为950.4亿印度卢比，高于2019-20年的784.617亿印度卢比。该预算旨在开发新技术，在农民田间进行示范，并为他们提供采用现代方法的知识。

农业人工智慧市场的地理格局

  • 北美在预测期内将经历指数级增长

北美经济的特点是可支配收入不断增加、对自动化的持续投资、对物联网的大赌注以及政府越来越重视开发国产人工智慧设备。多家农业技术厂商对人工智慧解决方案的研究也让市场受益。正如人工智慧所预测的那样，农业正在经历一场技术革命。无人机、机器人和智慧监控系统在研究和现场实验中的使用预计在未来几年将大幅增加。此外，由于人工智慧技术在农业领域的广泛使用，预计该区域市场将快速成长。

为什么要购买这份报告？

  • 富有洞察力的分析：获得涵盖关键和新兴地区的深入市场洞察，重点关注客户细分、政府政策和社会经济因素、消费者偏好、行业和其他子区隔。
  • 竞争格局：了解世界各地主要企业采取的策略策略，并了解采用正确策略渗透市场的潜力。
  • 市场驱动因素和未来趋势：检视动态因素和关键市场趋势，并探讨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，在动态环境中发现新的业务流和收益。
  • 迎合广泛的受众：对于新兴企业、研究机构、顾问、中小型企业和大型企业来说有用且具有成本效益。

公司使用我们的报告的目的是什么？

产业与市场考量、机会评估、产品需求预测、打入市场策略、地理扩张、资本投资决策、法律规范与影响、新产品开拓、竞争影响

调查范围

  • 过去的资料/预测，2022-2029
  • 成长机会、挑战、供应链前景、法规结构、顾客行为、趋势分析
  • 竞争定位、策略和市场占有率分析
  • 区域分析，包括收益成长和预测细分市场、国家
  • 公司概况（策略、产品、财务资讯、主要发展等）

目录

第一章简介

  • 市场概况
  • 市场定义
  • 调查范围
  • 市场区隔
  • 货币
  • 先决条件
  • 基准年和预测年时间表
  • 相关利益者的主要利益

第二章调查方法

  • 研究设计
  • 调查过程

第三章执行摘要

  • 主要发现
  • CXO观点

第四章市场动态

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

第五章农业人工智慧市场：依技术分类

  • 介绍
  • 机器学习
  • 电脑视觉
  • 预测分析

第六章农业人工智慧市场：依应用分类

  • 介绍
  • 农业机器人
  • 精密农业
  • 无人机分析
  • 牲畜监测
  • 天气追踪
  • 其他的

第七章农业人工智慧市场：按地区

  • 介绍
  • 北美洲
    • 依技术
    • 按用途
    • 按国家/地区
  • 南美洲
    • 依技术
    • 按用途
    • 按国家/地区
  • 欧洲
    • 依技术
    • 按用途
    • 按国家/地区
  • 中东/非洲
    • 依技术
    • 按用途
    • 按国家/地区
  • 亚太地区
    • 依技术
    • 按用途
    • 按国家/地区

第八章竞争环境及分析

  • 主要企业及策略分析
  • 市场占有率分析
  • 合併、收购、协议和合作
  • 竞争对手仪表板

第九章 公司简介

  • Gamaya SA
  • IBM Corporation
  • Trimble Inc.
  • Bayer AG
  • Prospera Technologies Ltd.
  • PrecisionHawk Inc.
  • Cainthus Corp.
  • AGCO Corporation
  • Deere & Company
  • Farmers Edge Inc.
简介目录
Product Code: KSI061615529

The AI for agriculture market is expected to grow at a CAGR of 24.57%, reaching a market size of US$6,062.706 million in 2029 from US$2,021.502 million in 2024.

Variables on temperature, soil, water use, weather, etc., are generated daily by farms. Artificial intelligence (AI) and machine learning models use this data in real-time to derive insightful conclusions, including determining the optimal time for planting seeds, selecting crops, choosing hybrid seeds for higher yields, and other agricultural decisions. Precision farming, also called intelligent systems, helps improve the general value and precision of yields. AI helps to identify infestations, plant diseases, and malnourishment in farms. AI sensors can detect and target weeds before choosing which herbicide to apply in a region.

Many technical firms created robots that accurately monitor weeds with spray guns using image processing techniques and artificial intelligence. These robots can lower the price of herbicides by eliminating large amounts of the chemicals that are often sprayed on crops. By dramatically reducing the number of pesticides required in the fields, these sophisticated AI sprayers can raise the standard of agricultural output.

AI for Agriculture Market Drivers:

  • Increased globalization and adoption of new technology is anticipated to propel the market growth

Rising customer demand for agricultural products is expected to drive market value growth. Contemporary agricultural technologies, government initiatives, and regulations are also promoting industrialization. The shifting costs of research and development, as well as the increasing use of drones and changes in form, have contributed to the product implications, thus expanding the market. To boost agricultural output, the government is encouraging research and development (R&D) in the field through the State Agricultural Universities (SAUs) and the Indian Council of Agricultural Research (ICAR). In 2023-24, the Department of Agricultural Research & Education (DARE) will have a budget of Rs. 9504 crores, up from Rs. 7846.17 crores in 2019-20. This budget is aimed at developing new techniques demonstrating these in farmers' fields and equipping them with the knowledge to adopt modern methods.

AI for Agriculture Market Geographical Outlook

  • North America is witnessing exponential growth during the forecast period

The North American economy is characterized by rising disposable income, continuous investments in automation, large bets on the Internet of Things, and an increasing focus from governments on developing domestic AI equipment. Several agricultural technology vendors' research into artificial intelligence solutions benefits the market as well. In farming, there is a technological revolution coming, as predicted by AI. As drones, robots, and intelligent monitoring systems are used in research and field experiments, it is expected that this will increase significantly in years to come. Regional markets also expect rapid growth with increased use of AI-powered technologies within the agricultural sector.

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 2029
  • 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)

The AI for agriculture market is segmented and analyzed as follows:

By Technology

  • Machine Learning
  • Computer Vision
  • Predictive Analytics

By Application

  • Agricultural Robots
  • Precision Farming
  • Drone Analytics
  • Livestock Monitoring
  • Weather Tracking
  • Others

By Geography

  • North America
  • USA
  • Canada
  • Mexico
  • South America
  • Brazil
  • Argentina
  • Others
  • Europe
  • Germany
  • France
  • United Kingdom
  • Spain
  • Others
  • Middle East and Africa
  • Saudi Arabia
  • Israel
  • UAE
  • Other
  • Asia Pacific
  • China
  • Japan
  • India
  • South Korea
  • Indonesia
  • Vietnam
  • Thailand
  • 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 to the Stakeholder

2. RESEARCH METHODOLOGY

  • 2.1. Research Design
  • 2.2. Research Processes

3. EXECUTIVE SUMMARY

  • 3.1. Key Findings
  • 3.2. CXO Perspective

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 FOR AGRICULTURE MARKET BY TECHNOLOGY

  • 5.1. Introduction
  • 5.2. Machine Learning
  • 5.3. Computer Vision
  • 5.4. Predictive Analytics

6. AI FOR AGRICULTURE MARKET BY APPLICATION

  • 6.1. Introduction
  • 6.2. Agricultural Robots
  • 6.3. Precision Farming
  • 6.4. Drone Analytics
  • 6.5. Livestock Monitoring
  • 6.6. Weather Tracking
  • 6.7. Others

7. AI FOR AGRICULTURE MARKET BY GEOGRAPHY

  • 7.1. Introduction
  • 7.2. North America
    • 7.2.1. By Technology
    • 7.2.2. By Application
    • 7.2.3. By Country
      • 7.2.3.1. USA
      • 7.2.3.2. Canada
      • 7.2.3.3. Mexico
  • 7.3. South America
    • 7.3.1. By Technology
    • 7.3.2. By Application
    • 7.3.3. By Country
      • 7.3.3.1. Brazil
      • 7.3.3.2. Argentina
      • 7.3.3.3. Others
  • 7.4. Europe
    • 7.4.1. By Technology
    • 7.4.2. By Application
    • 7.4.3. By Country
      • 7.4.3.1. Germany
      • 7.4.3.2. France
      • 7.4.3.3. United Kingdom
      • 7.4.3.4. Spain
      • 7.4.3.5. Others
  • 7.5. Middle East and Africa
    • 7.5.1. By Technology
    • 7.5.2. By Application
    • 7.5.3. By Country
      • 7.5.3.1. Saudi Arabia
      • 7.5.3.2. Israel
      • 7.5.3.3. UAE
      • 7.5.3.4. Others
  • 7.6. Asia Pacific
    • 7.6.1. By Technology
    • 7.6.2. By Application
    • 7.6.3. By Country
      • 7.6.3.1. China
      • 7.6.3.2. Japan
      • 7.6.3.3. India
      • 7.6.3.4. South Korea
      • 7.6.3.5. Indonesia
      • 7.6.3.6. Vietnam
      • 7.6.3.7. Thailand
      • 7.6.3.8. Others

8. COMPETITIVE ENVIRONMENT AND ANALYSIS

  • 8.1. Major Players and Strategy Analysis
  • 8.2. Market Share Analysis
  • 8.3. Mergers, Acquisitions, Agreements, and Collaborations
  • 8.4. Competitive Dashboard

9. COMPANY PROFILES

  • 9.1. Gamaya SA
  • 9.2. IBM Corporation
  • 9.3. Trimble Inc.
  • 9.4. Bayer AG
  • 9.5. Prospera Technologies Ltd.
  • 9.6. PrecisionHawk Inc.
  • 9.7. Cainthus Corp.
  • 9.8. AGCO Corporation
  • 9.9. Deere & Company
  • 9.10. Farmers Edge Inc.