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表紙：農業用可変作業技術の世界市場-2023年～2030年
市場調査レポート
商品コード
1316262

農業用可変作業技術の世界市場-2023年～2030年

Global Agriculture Variable Rate Technology Market - 2023-2030

出版日
ページ情報
英文 200 Pages
納期
即日から翌営業日
カスタマイズ可能
適宜更新あり
価格
価格表記: USDを日本円(税抜)に換算
本日の銀行送金レート: 1USD=144.64円
農業用可変作業技術の世界市場-2023年～2030年
出版日: 2023年07月27日
発行: DataM Intelligence
ページ情報: 英文 200 Pages
納期: 即日から翌営業日
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  • 概要
  • 目次
概要

市場概要

農業用可変作業技術の世界市場は、2022年に75億米ドルに達し、2030年には200億米ドルに達する好成長が予測されています。予測期間2023-2030年のCAGRは13.1%です。

モノのインターネット（IoT）とセンサー技術は進化を続け、VRTの成長に貢献しています。IoTデバイスやセンサーは、土壌水分、養分レベル、気象条件、機器性能に関するリアルタイムのデータを提供します。これらの技術をVRTシステムに統合することで、農家は可変率施肥について正確かつタイムリーな決定を下すことができ、資源利用の最適化と作物結果の改善につながります。

自動化とロボット工学は農業セクターを変革しつつあり、可変レート技術も例外ではないです。自動機械やロボット工学は、種まき、施肥、農薬散布などの作業を高精度で行うために、VRTシステムと統合されつつあります。この統合は作業効率を高め、必要労働力を削減します。

市場力学

世界人口と食糧需要の増加が市場成長を牽引しています

国連によると、世界人口は2030年に85億人に達し、2050年には97億人、2100年には104億人にさらに増加すると予測されています。この人口増加は、増加する人口を養うための食糧需要の増加につながります。この需要を満たすために、農家は農業生産性を最大化する必要があります。VRTにより、農家は投入資材を最適化し、作物の収量を向上させ、全体的な食糧生産効率を高めることができます。

世界人口の増加に伴い、農業における資源効率への注目が高まっています。VRTにより、農家は肥料、水、農薬などの投入物を必要な場所に正確に散布することができ、無駄を最小限に抑え、環境への影響を低減することができます。資源利用を最適化することで、VRTは農業の効率性と持続可能性の向上に貢献します。

精密農業ニーズの高まりが農業用可変作業技術市場の成長を促進

精密農業は、全地球測位システム（GPS）、地理情報システム（GIS）、リモートセンシング、データ分析など、さまざまな先進技術を組み合わせたものです。これらの技術により、農家は土壌特性、作物の健康状態、地形など、圃場に関する正確で詳細なデータを収集することができます。これらの技術をVRTシステムと統合することで、農家は投入資材の正確な散布について情報に基づいた決定を下すことができ、効率と生産性の向上につながります。

精密農業技術は、センサー、ドローン、衛星画像など複数の情報源からリアルタイムのデータ収集を容易にします。このデータは、圃場の状態、作物の変動性、収量の可能性についての貴重な洞察を提供します。高度なデータ分析技術により、農家は圃場内の空間的変動を特定し、VRTのための処方マップを作成することができます。これらの処方マップは、VRTシステムが適切な割合、時間、場所で投入資材を散布する際の指針となり、その結果、資源の利用が最適化され、作物の成績が向上します。

インフラの制限が農業用可変作業技術市場の成長を妨げる

VRTは、データ転送、クラウドベースのプラットフォームへのアクセス、リアルタイム情報の受信のために、堅牢で信頼性の高いインターネット接続に依存しています。しかし、農村部や遠隔地の農業地域では、インターネット接続が制限されていたり、信頼性が低かったりする場合があります。効果的なVRTの実施にはタイムリーなデータ転送と通信が不可欠であるため、これがVRTシステムのシームレスな統合と運用の妨げになる可能性があります。

GPS技術はVRTにおいて重要な役割を果たし、正確な測位と圃場の正確なマッピングを可能にします。しかし、GPSのカバー率が低い地域では、VRTシステムの精度が低下する可能性があります。これは投入資材の散布精度に影響を与え、作物管理方法の最適化におけるVRTの効果を制限する可能性があります。

COVID-19影響分析

COVID-19分析には、COVID前シナリオ、COVIDシナリオ、COVID後シナリオに加え、価格力学（COVID前シナリオと比較したパンデミック中およびパンデミック後の価格変動を含む）、需給スペクトラム（取引制限、封鎖、およびその後の問題による需給の変化）、政府の取り組み（政府機関による市場、セクター、産業を復興させる取り組み）、メーカーの戦略的取り組み（COVID問題を緩和するためにメーカーが行ったことをここで取り上げる）が含まれます。

AIの影響

AIベースのアルゴリズムと機械学習技術は、歩留まりモニタリング能力を強化しました。AIモデルは、センサーデータ、過去の収量データ、天候パターン、土壌情報を含む大規模なデータセットを分析し、より高い精度で作物の収量を予測・推定することができます。AIアルゴリズムは、衛星画像やドローンなどのリモートセンシング技術と組み合わせることで、効率的な作物センシングを可能にします。これらのテクノロジーは畑の高解像度画像を撮影し、AIモデルがそれを分析して作物の健康状態を評価し、ストレス要因を特定し、異常を検出します。

AIは、多様なデータセットを分析し、実用的な洞察を提供することで、農場管理において重要な役割を果たしています。AIベースの農場管理システムは、気象データ、土壌成分、作物の健康情報、機械データなど、さまざまなソースからのデータを統合し、農家に包括的な提案を行い、農場運営を最適化することができます。これらのシステムは、作付けスケジュールの計画、灌漑スケジュールの最適化、在庫管理などの作業を自動化し、合理化することができます。

目次

第1章 調査手法と調査範囲

第2章 定義と概要

第3章 エグゼクティブサマリー

第4章 市場力学

  • 影響要因
    • 促進要因
      • 世界人口の増加と食糧需要
      • 精密農業へのニーズの高まり
    • 抑制要因
      • 初期投資コストの高さ
    • 機会
      • 技術の進歩
    • 影響分析

第5章 産業分析

  • ポーターのファイブフォース分析
  • サプライチェーン分析
  • 価格分析
  • 規制分析

第6章 COVID-19分析

第7章 製品別

  • 土壌センシング
  • 肥料VRT
  • 播種VRT
  • 作物保護化学VRT
  • その他

第8章 作物別

  • 穀物・穀類
  • 油糧種子・豆類
  • 果物・野菜
  • その他

第9章 製品別

  • ハードウェア
  • サービス
  • ソフトウェア

第10章 農場規模別

  • 大規模農場
  • 小規模農場
  • 中規模農場

第11章 地域別

  • 北米
    • 米国
    • カナダ
    • メキシコ
  • 欧州
    • ドイツ
    • 英国
    • フランス
    • イタリア
    • スペイン
    • その他欧州
  • 南米
    • ブラジル
    • アルゼンチン
    • その他南米
  • アジア太平洋
    • 中国
    • インド
    • 日本
    • オーストラリア
    • その他アジア太平洋地域
  • 中東・アフリカ

第12章 競合情勢

  • 競合シナリオ
  • 市況/シェア分析
  • M&A分析

第13章 企業プロファイル

  • Deere & Co.
    • 会社概要
    • 製品ポートフォリオと説明
    • 財務概要
    • 主な発展
  • CNH Industrial NV
  • Trimble, Inc.
  • AGCO Corporation
  • Kubota Corporation
  • Yara International
  • AgJunction
  • Teejet Technologies
  • AG Leader Technology
  • The Climate Corporation

第14章 付録

目次
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