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1316262

全球農業變率技術市場 - 2023-2030 年

Global Agriculture Variable Rate Technology Market - 2023-2030

出版日期: 2023年07月27日 | 出版商:

DataM Intelligence | 英文 200 Pages | 商品交期: 最快1-2個工作天內

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簡介目錄

市場概述

2022 年，全球農業變率技術市場規模達到75 億美元，預計到2030 年將實現利潤豐厚的成長，達到200 億美元。在2023-2030 年的預測期內，該市場的複合年成長率為13.1%。

物聯網（IoT）和感測器技術不斷發展，促進了VRT 的成長。物聯網設備和感測器可提供有關土壤濕度、養分含量、天氣狀況和設備性能的即時數據。將這些技術與VRT 系統整合後，農民就能對變量施肥做出精確、及時的決策，從而最佳化資源利用，改善作物產量。

自動化和機器人技術正在改變農業部門，變速技術也不例外。自動化機械和機器人正在與變率技術系統整合，以高精度完成播種、施肥和施藥等任務。這種整合提高了作業效率，減少了勞動力需求。

市場動態

不斷成長的全球人口和食品需求推動市場成長。

據聯合國預測，2030 年全球人口將達到85 億，2050 年將進一步增至97 億，2100 年將達到104 億。人口成長導致對糧食的需求增加，以養活不斷成長的人口。為了滿足這一需求，農民需要最大限度地提高農業生產率。 VRT 可以讓農民最佳化投入應用，提高作物產量，並增加整體糧食生產效率。

隨著全球人口的成長，人們更加關注農業的資源效率。 VRT 使農民能夠將化肥、水和殺蟲劑等投入品精確地施用在需要的地方，最大限度地減少浪費，降低對環境的影響。通過最佳化資源利用，VRT 有助於提高農業實踐的效率和永續性。

精準農業需求的成長推動了農業變率技術市場的發展

精準農業結合了各種先進技術，如全球定位系統（GPS）、地理資訊系統（GIS）、遙感和數據分析。這些技術使農民能夠收集有關田地的準確而詳細的數據，包括土壤特性、作物健康狀況和地形。通過將這些技術與VRT 系統整合，農民可以就投入的精確應用做出明智的決策，從而提高效率和生產率。

精準農業技術有助於從感測器、無人機和衛星圖像等多個來源收集即時數據。這些數據為了解田間條件、作物變異性和產量潛力提供了寶貴的資訊。利用先進的數據分析技術，農民可以識別田間的空間變化，並生成用於VRT 的處方圖。這些處方圖指導VRT 系統以正確的比例、時間和地點進行投入，從而最佳化資源利用，提高作物產量。

基礎設施的限制阻礙了農業可變速率技術市場的發展

VRT 依靠強大可靠的網際網路連接來傳輸數據、訪問云平台和接收即時資訊。然而，在農村或偏遠農業地區，網際網路連接可能有限或不可靠。這可能會阻礙VRT 系統的無縫整合和運行，因為及時的數據傳輸和通訊對於有效實施VRT 至關重要。

全球定位系統技術在VRT 中發揮著至關重要的作用，可實現精確定位和精確繪製田間地圖。然而，在GPS 覆蓋率較低的地區，VRT 系統的準確性可能會受到影響。這會影響投入應用的準確性，並限制VRT 在最佳化作物管理實踐方面的有效性。

COVID-19 影響分析

COVID-19 分析包括COVID 前情景、COVID 情景和COVID 後情景，以及定價動態（包括大流行期間和之後的定價變化，並與COVID 前情景進行比較）、供需關係（由於貿易限制、封鎖和後續問題而導致的供需變化）、政府計劃（政府機構為振興市場、部門或行業而採取的計劃）和製造商戰略計劃（此處將涵蓋製造商為緩解COVID 問題而採取的措施）。

人工智慧的影響

基於人工智慧的算法和機器學習技術增強了產量監測能力。人工智慧模型可以分析大型資料集，包括感測器數據、歷史產量數據、天氣模式和土壤資訊，從而更準確地預測和估算作物產量。人工智慧算法與遙感技術（如衛星圖像和無人機）相結合，可實現高效的作物感測。這些技術可以捕捉到高解析度的田間圖像，人工智慧模型通過分析這些圖像來評估作物健康狀況、識別壓力因素並檢測異常情況。

人工智慧通過分析各種資料集和提供可行的見解，在農場管理中發揮著至關重要的作用。基於人工智慧的農場管理系統可以整合各種來源的數據，包括天氣數據、土壤成分、作物健康資訊和機械數據，為農民提供全面的建議並最佳化農場營運。這些系統可以自動化和簡化任務，如規劃種植時間表、最佳化灌溉計劃和管理庫存。

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

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