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全球农业变率技术市场 - 2023-2030 年
市场调查报告书
商品编码
1316262

全球农业变率技术市场 - 2023-2030 年

Global Agriculture Variable Rate Technology Market - 2023-2030
出版日期: | 出版商: DataM Intelligence | 英文 200 Pages | 商品交期: 约2个工作天内

价格

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简介目录

市场概述

2022 年，全球农业变率技术市场规模达到 75 亿美元，预计到 2030 年将实现利润丰厚的增长，达到 200 亿美元。在 2023-2030 年的预测期内，该市场的复合年增长率为 13.1%。

物联网（IoT）和传感器技术不断发展，促进了 VRT 的增长。物联网设备和传感器可提供有关土壤湿度、养分含量、天气状况和设备性能的实时数据。将这些技术与 VRT 系统集成后，农民就能对变量施肥做出精确、及时的决策，从而优化资源利用，改善作物产量。

自动化和机器人技术正在改变农业部门，变速技术也不例外。自动化机械和机器人正在与变率技术系统集成，以高精度完成播种、施肥和施药等任务。这种集成提高了作业效率，减少了劳动力需求。

市场动态

不断增长的全球人口和食品需求推动市场增长。

据联合国预测，2030 年全球人口将达到 85 亿，2050 年将进一步增至 97 亿，2100 年将达到 104 亿。人口增长导致对粮食的需求增加，以养活不断增长的人口。为了满足这一需求，农民需要最大限度地提高农业生产率。VRT 可以让农民优化投入应用，提高作物产量，并增加整体粮食生产效率。

随着全球人口的增长，人们更加关注农业的资源效率。VRT 使农民能够将化肥、水和杀虫剂等投入品精确地施用在需要的地方，最大限度地减少浪费，降低对环境的影响。通过优化资源利用，VRT 有助于提高农业实践的效率和可持续性。

精准农业需求的增长推动了农业变率技术市场的发展

精准农业结合了各种先进技术，如全球定位系统（GPS）、地理信息系统（GIS）、遥感和数据分析。这些技术使农民能够收集有关田地的准确而详细的数据，包括土壤特性、作物健康状况和地形。通过将这些技术与 VRT 系统集成，农民可以就投入的精确应用做出明智的决策，从而提高效率和生产率。

精准农业技术有助于从传感器、无人机和卫星图像等多个来源收集实时数据。这些数据为了解田间条件、作物变异性和产量潜力提供了宝贵的信息。利用先进的数据分析技术，农民可以识别田间的空间变化，并生成用于 VRT 的处方图。这些处方图指导 VRT 系统以正确的比例、时间和地点进行投入，从而优化资源利用，提高作物产量。

基础设施的限制阻碍了农业可变速率技术市场的发展

VRT 依靠强大可靠的互联网连接来传输数据、访问云平台和接收实时信息。然而，在农村或偏远农业地区，互联网连接可能有限或不可靠。这可能会阻碍 VRT 系统的无缝集成和运行，因为及时的数据传输和通信对于有效实施 VRT 至关重要。

全球定位系统技术在 VRT 中发挥着至关重要的作用，可实现精确定位和精确绘制田间地图。然而，在 GPS 覆盖率较低的地区，VRT 系统的准确性可能会受到影响。这会影响投入应用的准确性，并限制 VRT 在优化作物管理实践方面的有效性。

COVID-19 影响分析

COVID-19 分析包括 COVID 前情景、COVID 情景和 COVID 后情景，以及定价动态（包括大流行期间和之后的定价变化，并与 COVID 前情景进行比较）、供需关系（由于贸易限制、封锁和后续问题而导致的供需变化）、政府倡议（政府机构为振兴市场、部门或行业而采取的倡议）和制造商战略倡议（此处将涵盖制造商为缓解 COVID 问题而采取的措施）。

人工智能的影响

基于人工智能的算法和机器学习技术增强了产量监测能力。人工智能模型可以分析大型数据集，包括传感器数据、历史产量数据、天气模式和土壤信息，从而更准确地预测和估算作物产量。人工智能算法与遥感技术（如卫星图像和无人机）相结合，可实现高效的作物传感。这些技术可以捕捉到高分辨率的田间图像，人工智能模型通过分析这些图像来评估作物健康状况、识别压力因素并检测异常情况。

人工智能通过分析各种数据集和提供可行的见解，在农场管理中发挥着至关重要的作用。基于人工智能的农场管理系统可以整合各种来源的数据，包括天气数据、土壤成分、作物健康信息和机械数据，为农民提供全面的建议并优化农场运营。这些系统可以自动化和简化任务，如规划种植时间表、优化灌溉计划和管理库存。

目 录

第 1 章：研究方法与范围

  • 研究方法
  • 报告的研究目标和范围

第2章：定义和概述

第3章：执行摘要

  • 按产品划分
  • 按作物划分
  • 按产品分类
  • 按农场规模分类
  • 按地区划分

第四章：动态

  • 影响因素
    • 驱动因素
      • 全球人口和粮食需求不断增长
      • 对精准农业的需求不断增长
    • 制约因素
      • 初始投资成本高
    • 机会
      • 技术进步
    • 影响分析

第 5 章：行业分析

  • 波特五力分析法
  • 供应链分析
  • 定价分析
  • 监管分析

第 6 章：COVID-19 分析

  • COVID-19 分析
    • COVID 之前的情景
    • COVID 前的情景
    • COVID 期间的情景
  • COVID-19 期间的定价动态
  • 供求关系
  • 大流行期间与市场相关的政府倡议
  • 制造商的战略倡议
  • 结论

第 7 章：按产品分类

  • 土壤传感
  • 肥料 VRT
  • 播种 VRT
  • 作物保护化学品 VRT
  • 其他

第 8 章：按作物分类

  • 谷物和粮食
  • 油籽和豆类
  • 水果和蔬菜
  • 其他

第 9 章：按产品分类

  • 硬件
  • 服务
  • 软件

第 10 章：按农场规模

  • 大型农场
  • 小型农场
  • 中型农场

第 11 章：按地区划分

  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 法国
    • 意大利
    • 西班牙
    • 欧洲其他地区
  • 南美洲
    • 巴西
    • 阿根廷
    • 南美洲其他地区
  • 亚太地区
    • 中国
    • 印度
    • 日本
    • 澳大利亚
    • 亚太其他地区
  • 中东和非洲

第 12 章 ：竞争格局

  • 竞争格局
  • 市场定位/份额分析
  • 合併与收购分析

第 13 章 ：公司简介

  • Deere & Co.
    • 公司概况
    • 产品组合和说明
    • 财务概况
    • 主要发展
  • CNH Industrial NV
  • Trimble, Inc.
  • AGCO Corporation
  • Kubota Corporation
  • Yara International
  • AgJunction
  • Teejet Technologies
  • AG Leader Technology
  • The Climate Corporation

第 14 章：附录

简介目录
Product Code: AG6044

Market Overview

The Global Agriculture Variable Rate Technology Market reached US$ 7.5 billion in 2022 and is projected to witness lucrative growth by reaching up to US$ 20.0 billion by 2030. The market is growing at a CAGR of 13.1% during the forecast period 2023-2030.

The Internet of Things (IoT) and sensor technologies continue to evolve and contribute to the growth of VRT. IoT devices and sensors provide real-time data on soil moisture, nutrient levels, weather conditions, and equipment performance. Integration of these technologies with VRT systems enables farmers to make precise and timely decisions on variable rate applications, leading to optimized resource utilization and improved crop outcomes.

Automation and robotics are transforming the agricultural sector, and variable rate technology is no exception. Automated machinery and robotics are being integrated with VRT systems to perform tasks such as seed planting, fertilization, and pesticide application with high precision. This integration enhances operational efficiency and reduces labor requirements.

Market Dynamics

The Rising Global Population and Food Demand are Driving Market Growth.

The global population is predicted to reach 8.5 billion in 2030 and to increase further to 9.7 billion in 2050 and 10.4 billion by 2100, according to the United Nations. This population growth leads to an increased demand for food to feed the growing population. To meet this demand, farmers need to maximize agricultural productivity. VRT allows farmers to optimize input applications, enhance crop yields, and increase overall food production efficiency.

As the global population increases, there is a heightened focus on resource efficiency in agriculture. VRT allows farmers to apply inputs such as fertilizers, water, and pesticides precisely where they are needed, minimizing waste and reducing environmental impact. By optimizing resource usage, VRT helps improve efficiency and sustainability in agricultural practices.

The Rising Need For Precision Agriculture Fuels the Growth of the Agriculture Variable Rate Technology Market

Precision agriculture combines various advanced technologies such as Global Positioning System (GPS), Geographic Information System (GIS), remote sensing, and data analytics. These technologies enable farmers to collect accurate and detailed data about their fields, including soil characteristics, crop health, and topography. By integrating these technologies with VRT systems, farmers can make informed decisions about the precise application of inputs, leading to improved efficiency and productivity.

Precision agriculture technologies facilitate the collection of real-time data from multiple sources, including sensors, drones, and satellite imagery. This data provides valuable insights into field conditions, crop variability, and yield potential. With advanced data analysis techniques, farmers can identify spatial variations within their fields and generate prescription maps for VRT. These prescription maps guide the VRT systems in applying inputs at the right rate, time, and location, resulting in optimized resource utilization and improved crop performance.

Infrastructure Limitations Hamper the Growth of the Agriculture Variable Rate Technology Market

VRT relies on robust and reliable internet connectivity to transfer data, access cloud-based platforms, and receive real-time information. However, in rural or remote farming areas, internet connectivity may be limited or unreliable. This can hinder the seamless integration and operation of VRT systems, as timely data transfer and communication are essential for effective VRT implementation.

GPS technology plays a crucial role in VRT, enabling precise positioning and accurate mapping of fields. However, in areas with poor GPS coverage, the accuracy of VRT systems may be compromised. This can impact the accuracy of input applications and limit the effectiveness of VRT in optimizing crop management practices.

COVID-19 Impact Analysis

The COVID-19 Analysis includes Pre-COVID Scenario, COVID Scenario, and Post-COVID Scenario along with Pricing Dynamics (Including pricing change during and post-pandemic comparing it to pre-COVID scenarios), Demand-Supply Spectrum (Shift in demand and supply owing to trading restrictions, lockdown, and subsequent issues), Government Initiatives (Initiatives to revive market, sector or Industry by Government Bodies) and Manufacturers Strategic Initiatives (What manufacturers did to mitigate the COVID issues will be covered here).

AI Impact

AI-based algorithms and machine learning techniques have enhanced yield monitoring capabilities. AI models can analyze large datasets, including sensor data, historical yield data, weather patterns, and soil information, to predict and estimate crop yields with greater accuracy. AI algorithms combined with remote sensing technologies, such as satellite imagery and drones, enable efficient crop sensing. These technologies capture high-resolution images of fields, which AI models analyze to assess crop health, identify stress factors, and detect anomalies.

AI plays a crucial role in farm management by analyzing diverse data sets and providing actionable insights. AI-based farm management systems can integrate data from various sources, including weather data, soil composition, crop health information, and machinery data, to offer farmers comprehensive recommendations and optimize farm operations. These systems can automate and streamline tasks such as planning planting schedules, optimizing irrigation schedules, and managing inventory.

Segment Analysis

The global agriculture variable rate technology market is segmented based on product, crop, offering, farm size, and region.

Fertilizer VRT Held the Highest Share

Based on service product, the agriculture variable rate technology market is classified into Soil Sensing, Fertilizer VRT, Seeding VRT, Crop Protection Chemical VRT, and Others

In 2022, fertilizer VRT had a high share in the agriculture variable rate technology market. According to THE WORLD BANK, in 2020, the world's per-hectare fertilizer use was 146.4 kg. Fertilizers play a crucial role in modern agriculture by providing essential nutrients to crops for optimal growth and productivity. Effective fertilizer application is key to maximizing yields and ensuring efficient nutrient utilization. VRT enables the precise and targeted application of fertilizers based on field variability, crop requirements, and soil nutrient levels.

Agricultural fields often exhibit variability in soil composition, nutrient levels, and crop requirements. VRT allows farmers to account for this variability by mapping the field and applying fertilizers at varying rates based on specific field zones or sub-field areas. By adjusting fertilizer application rates according to field conditions, VRT helps optimize nutrient distribution and promotes balanced crop nutrition.

Geographical Analysis

The Large Agricultural Sector in the Asia-Pacific Region

In 2022, the Asia Pacific region has a significant share in the Agriculture Variable Rate Technology market. Asia Pacific is home to some of the world's largest agricultural economies, including China, India, and Indonesia. These countries have a substantial agricultural sector that contributes significantly to their economies. According to the Asia Development Bank, 75% of farmers in Asia are dependent on agriculture. Climate change is predicted to cause a 15%-20% (or perhaps 50%) drop in crop productivity by 2050. This generates a sizable market for agricultural variable rate technology services that can aid farmers in streamlining their operations and raising yields.

Precision agriculture practices, including VRT, have been gaining traction in the Asia Pacific. Farmers in the region are increasingly recognizing the benefits of adopting precision agriculture technologies to optimize input application, enhance crop yields, and reduce environmental impact. This growing awareness and adoption of precision agriculture contribute to the significant share of VRT in the region.

Competitive Landscape

The major global players include: Deere & Co., CNH Industrial NV, Trimble, Inc., AGCO Corporation, Kubota Corporation, Yara International, AgJunction, Teejet Technologies, AG Leader Technology, and The Climate Corporation

Why Purchase the Report?

  • To visualize the global agriculture variable rate technology- market segmentation based on product, crop, offering, farm size and region, as well as understand key commercial assets and players.
  • Identify commercial opportunities by analyzing trends and co-development.
  • Excel data sheet with numerous agriculture variable rate technology market-level data points all for segments.
  • PDF report consists of a comprehensive analysis after exhaustive qualitative interviews and an in-depth study.
  • Product mapping available as excel consisting of key products of all the major players.

The Global Agriculture Variable Rate Technology Market Report Would Provide Approximately 69 Tables, 70 Figures, And 200 Pages.

Target Audience 2023

  • Manufacturers/ Buyers
  • Industry Investors/Investment Bankers
  • Research Professionals
  • Emerging Companies

Table of Contents

1. Methodology and Scope

  • 1.1. Research Methodology
  • 1.2. Research Objective and Scope of the Report

2. Definition and Overview

3. Executive Summary

  • 3.1. Snippet by Product
  • 3.2. Snippet by Crop
  • 3.3. Snippet by Offering
  • 3.4. Snippet by Farm Size
  • 3.5. Snippet by Region

4. Dynamics

  • 4.1. Impacting Factors
    • 4.1.1. Drivers
      • 4.1.1.1. Rising Global Population and Food Demand
      • 4.1.1.2. The Rising Need for Precision Agriculture
    • 4.1.2. Restraints
      • 4.1.2.1. High Initial Investment Costs
    • 4.1.3. Opportunity
      • 4.1.3.1. Technological Advancements
    • 4.1.4. Impact Analysis

5. Industry Analysis

  • 5.1. Porter's Five Force Analysis
  • 5.2. Supply Chain Analysis
  • 5.3. Pricing Analysis
  • 5.4. Regulatory Analysis

6. COVID-19 Analysis

  • 6.1. Analysis of COVID-19
    • 6.1.1. Scenario Before COVID
    • 6.1.2. Scenario Present COVID
    • 6.1.3. Scenario During COVID
  • 6.2. Pricing Dynamics Amid COVID-19
  • 6.3. Demand-Supply Spectrum
  • 6.4. Government Initiatives Related to the Market During Pandemic
  • 6.5. Manufacturers Strategic Initiatives
  • 6.6. Conclusion

7. By Product

  • 7.1. Introduction
    • 7.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Product
    • 7.1.2. Market Attractiveness Index, By Product
  • 7.2. Soil Sensing*
    • 7.2.1. Introduction
    • 7.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 7.3. Fertilizer VRT
  • 7.4. Seeding VRT
  • 7.5. Crop Protection Chemical VRT
  • 7.6. Others

8. By Crop

  • 8.1. Introduction
    • 8.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Crop
    • 8.1.2. Market Attractiveness Index, By Crop
  • 8.2. Cereal & Grains*
    • 8.2.1. Introduction
    • 8.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 8.3. Oilseeds & Pulses
  • 8.4. Fruits & Vegetables
  • 8.5. Others

9. By Offering

  • 9.1. Introduction
    • 9.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Offering
    • 9.1.2. Market Attractiveness Index, By Offering
  • 9.2. Hardware*
    • 9.2.1. Introduction
    • 9.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 9.3. Services
  • 9.4. Software

10. By Farm Size

  • 10.1. Introduction
    • 10.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Farm Size
    • 10.1.2. Market Attractiveness Index, By Farm Size
  • 10.2. Large Farms*
    • 10.2.1. Introduction
    • 10.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 10.3. Small Farms
  • 10.4. Mid-Size Farms

11. By Region

  • 11.1. Introduction
    • 11.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Region
    • 11.1.2. Market Attractiveness Index, By Region
  • 11.2. North America
    • 11.2.1. Introduction
    • 11.2.2. Key Region-Specific Dynamics
    • 11.2.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Product
    • 11.2.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Crop
    • 11.2.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Offering
    • 11.2.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Farm Size
    • 11.2.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 11.2.7.1. The U.S.
      • 11.2.7.2. Canada
      • 11.2.7.3. Mexico
  • 11.3. Europe
    • 11.3.1. Introduction
    • 11.3.2. Key Region-Specific Dynamics
    • 11.3.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Product
    • 11.3.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Crop
    • 11.3.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Offering
    • 11.3.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Farm Size
    • 11.3.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 11.3.7.1. Germany
      • 11.3.7.2. The U.K.
      • 11.3.7.3. France
      • 11.3.7.4. Italy
      • 11.3.7.5. Spain
      • 11.3.7.6. Rest of Europe
  • 11.4. South America
    • 11.4.1. Introduction
    • 11.4.2. Key Region-Specific Dynamics
    • 11.4.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Product
    • 11.4.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Crop
    • 11.4.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Offering
    • 11.4.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Farm Size
    • 11.4.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 11.4.7.1. Brazil
      • 11.4.7.2. Argentina
      • 11.4.7.3. Rest of South America
  • 11.5. Asia-Pacific
    • 11.5.1. Introduction
    • 11.5.2. Key Region-Specific Dynamics
    • 11.5.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Product
    • 11.5.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Crop
    • 11.5.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Offering
    • 11.5.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Farm Size
    • 11.5.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 11.5.7.1. China
      • 11.5.7.2. India
      • 11.5.7.3. Japan
      • 11.5.7.4. Australia
      • 11.5.7.5. Rest of Asia-Pacific
  • 11.6. Middle East and Africa
    • 11.6.1. Introduction
    • 11.6.2. Key Region-Specific Dynamics
    • 11.6.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Product
    • 11.6.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Crop
    • 11.6.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Offering
    • 11.6.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Farm Size

12. Competitive Landscape

  • 12.1. Competitive Scenario
  • 12.2. Market Positioning/Share Analysis
  • 12.3. Mergers and Acquisitions Analysis

13. Company Profiles

  • 13.1. Deere & Co.*
    • 13.1.1. Company Overview
    • 13.1.2. Product Portfolio and Description
    • 13.1.3. Financial Overview
    • 13.1.4. Key Developments
  • 13.2. CNH Industrial NV
  • 13.3. Trimble, Inc.
  • 13.4. AGCO Corporation
  • 13.5. Kubota Corporation
  • 13.6. Yara International
  • 13.7. AgJunction
  • 13.8. Teejet Technologies
  • 13.9. AG Leader Technology
  • 13.10. The Climate Corporation

LIST NOT EXHAUSTIVE

14. Appendix

  • 14.1. About Us and Services
  • 14.2. Contact Us