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表紙：ATaaS（Agriculture Technology-as-a-Service ）の世界市場-2023年～2030年
市場調査レポート
商品コード
1316241

ATaaS（Agriculture Technology-as-a-Service ）の世界市場-2023年～2030年

Global Agriculture Technology-as-a-Service Market - 2023-2030
出版日: | 発行: DataM Intelligence | ページ情報: 英文 102 Pages | 納期: 約2営業日

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ATaaS（Agriculture Technology-as-a-Service ）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 102 Pages
納期: 約2営業日
ご注意事項 :
本レポートは最新情報反映のため適宜更新し、内容構成変更を行う場合があります。ご検討の際はお問い合わせください。
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  • 概要
  • 目次
概要

市場概要

世界のATaaS（Agriculture Technology-as-a-Service ）市場は、2022年に26億米ドルに達し、2030年には123億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21.5%です。

農場管理ソフトウェアは、作業を合理化し、効率を向上させ、農場での意思決定を強化することから人気を集めています。as-a-Serviceモデルは、農家がクラウドベースの農場管理ソフトウェアにアクセスできるようにするもので、農家は作業をデジタル化し、作物計画、在庫管理、財務分析などの高度な機能の恩恵を受けることができます。サービスとしてのソフトウェアが提供する利便性と拡張性が、市場成長の原動力となっています。

モノのインターネット（IoT）デバイス、ドローン、ロボット工学などの高度な農業技術は、個々の農家が投資や保守を行うには高額になる可能性があります。as-a-Serviceモデルは、農家が多額の初期費用をかけずにこれらの技術にアクセスすることを可能にします。サービス・プロバイダーは、IoT対応デバイス、空撮用ドローン、様々な農作業用のロボット・システムへのサブスクリプション・ベースのアクセスを提供します。as-a-Serviceモデルを通じてこれらの技術にアクセスしやすく、手頃な価格で利用できることが、市場の成長を後押ししています。

市場力学

世界人口の増加が市場成長を牽引

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、世界の食糧安全保障を確保するために、より大きな食糧需要を生み出します。ATaaSソリューションは、農業生産性を高め、資源利用を最適化し、作物収量を向上させることで、この需要増に対応する上で重要な役割を果たしています。

人口の増加に伴い、農業システムには食料生産の効率化が求められています。Agri TaaSテクノロジーは、データ主導の洞察、リモートセンシング、自動化を活用して作物管理を最適化し、農家が精密農法を採用することを可能にします。これは、資源配分の効率改善、無駄の削減、生産性の向上につながります。したがって、世界人口の増加がATaaS（Agriculture Technology-as-a-Service ）市場の成長を促進しています。

精密農業へのニーズの高まりが農業技術サービス化市場の成長を後押し

食糧需要の増加、農業による環境への悪影響を軽減する必要性、水や肥料などの投入コストの上昇により、精密農業の採用が拡大しています。例えば、インド最大の穀物総合商取引プラットフォームであるArya.agは、2022年11月、コンピュータ・ビジョンを専門とするSaaS企業Assert AIに戦略的投資を行い、農業業界向け製品を開発すると発表しました。

ATaaSソリューションは、農家に最新の精密農業技術やツールへのアクセスをサブスクリプションまたは有料で提供することができます。これは、テクノロジー・インフラを購入・維持するリソースがない中小規模の農家にとって特に有益です。全体として、精密農業のニーズがAgTech市場の成長の主要な促進要因となっています。

インフラ制約がATaaS（Agriculture Technology-as-a-Service ）市場の成長を妨げる

農業が主要産業である多くの地方では、ATaaSソリューションの効果的な利用に必要な高速インターネット、モバイルネットワーク、その他のデジタルインフラへのアクセスが限られている場合があります。信頼性の高い高速インターネット接続がなければ、農家は精密農業に不可欠なクラウドベースのアプリケーション、データ分析ツール、その他のオンラインリソースにアクセスできない可能性があります。このため、農家が投入資材を最適化し、作物をリアルタイムで監視し、投入資材の投入時期や作物の収穫時期について十分な情報を得た上で意思決定する能力が制限される可能性があります。

デジタルインフラの制約に加え、物理的なインフラの制約も、ATaaSソリューションの採用に影響を与える可能性があります。例えば、地域によっては電気へのアクセスが制限され、センサー、ドローン、その他の精密農業ツールの電力供給が困難になる場合があります。全体として、インフラの制限はATaaS（Agriculture Technology-as-a-Service ）市場の成長にとって大きな抑制要因となりうる。

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起因する需要と供給のシフト）、政府の取り組み（政府機関による市場、セクター、産業を活性化させる取り組み）、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は、センサー、ドローン、衛星画像など様々なソースからの大量のデータを処理するための高度な分析と機械学習アルゴリズムを可能にします。このデータ主導のアプローチにより、農家は作物管理、灌漑、害虫駆除、資源配分に関して情報に基づいた意思決定を行うことができるようになり、生産性の向上と収量の最適化につながります。AIアルゴリズムは、過去のデータとリアルタイムのデータを分析し、予測や推奨を行うことができます。人工知能（AI）とロボット工学は、さまざまな農作業のための自律型機械やロボット・システムの開発を可能にします。

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
      • 精密農業へのニーズの高まり
    • 抑制要因
      • インフラの限界
    • 機会
      • 持続可能性への注目の高まり
    • 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 サービスタイプ別

  • サービス型ソフトウェア
  • 機器サービス

第8章 技術別

  • データ分析とインテリジェンス
  • ガイダンス技術
  • センシング技術
  • 可変レート技術
  • その他

第9章 用途別

  • 収量マッピングとモニタリング
  • 土壌管理
  • 作物の健康管理
  • ナビゲーションとポジショニング
  • その他

第10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11章 競合情勢

  • 競合シナリオ
  • 市況/シェア分析
  • M&A分析

第12章 企業プロファイル

  • 365FarmNet GmbH
    • 会社概要
    • 製品ポートフォリオと概要
    • 財務概要
    • 主な発展
  • AGCO Corporation
  • Agrivi
  • IBM Corporation
  • Accenture
  • Airbus SE
  • AT&T Inc.
  • Degree & Company
  • Hexagon Agriculture
  • Topocon Corporation

第13章 付録

目次
Product Code: AG6553

Market Overview

The Global Agriculture Technology-as-a-Service Market reached US$ 2.6 billion in 2022 and is projected to witness lucrative growth by reaching up to US$ 12.3 billion by 2030. The market is growing at a CAGR of 21.5% during the forecast period 2023-2030.

Farm management software is gaining popularity as it streamlines operations, improves efficiency, and enhances decision-making on farms. The as-a-Service model provides farmers with access to cloud-based farm management software, allowing them to digitize their operations and benefit from advanced features such as crop planning, inventory management, and financial analysis. The convenience and scalability offered by the software as a service drive market growth.

Advanced agricultural technologies, such as Internet of Things (IoT) devices, drones, and robotics, can be expensive for individual farmers to invest in and maintain. The as-a-Service model allows farmers to access these technologies without significant upfront costs. Service providers offer subscription-based access to IoT-enabled devices, drones for aerial imaging, and robotic systems for various farm operations. The accessibility and affordability of these technologies through the as-a-Service model fuel market growth.

Market Dynamics

Rising Global Population is Driving the 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 creates a greater demand for food to ensure global food security. Agri-TaaS solutions play a crucial role in meeting this increased demand by enhancing agricultural productivity, optimizing resource utilization, and improving crop yields.

With a growing population, there is a need for agricultural systems to become more efficient in producing food. Agri TaaS technologies enable farmers to adopt precision farming practices, leveraging data-driven insights, remote sensing, and automation to optimize crop management. This leads to improved efficiency in resource allocation, reduced waste, and increased productivity. Hence, the rising global population is driving the market growth of the agriculture technology-as-a-service market.

The Rising Need For Precision Agriculture Fuels the Growth of the Agriculture Technology-as-a-Service Market

Due to the rising food demand, the need to lessen agriculture's negative environmental effects, and the rising costs of inputs like water and fertilizer, the adoption of precision agriculture is growing. For instance, Arya.ag, India's largest integrated grain commerce platform, announced on November 2022 that it had made a strategic investment in the SaaS company Assert AI to develop products for the agricultural industry, which specializes in computer vision.

AgriTech-as-a-Service solutions can provide farmers with access to the latest precision agriculture technologies and tools on a subscription or pay-per-use basis. This can be particularly beneficial for small and medium-sized farmers who may not have the resources to purchase and maintain their technology infrastructure. 0verall, the need for precision agriculture is a key driver for the growth of the AgTech market.

Infrastructure Limitations Hamper the Growth of the Agriculture Technology-as-a-Service Market

In many rural areas where agriculture is a primary industry, there may be limited access to high-speed internet, mobile networks, and other digital infrastructure that is necessary for the effective use of AgriTech-as-a-Service solutions. Without reliable and high-speed internet connectivity, farmers may be unable to access cloud-based applications, data analytics tools, and other online resources that are essential for precision agriculture. This can limit the ability of farmers to optimize their inputs, monitor their crops in real-time, and make informed decisions about when to apply inputs or harvest their crops.

In addition to digital infrastructure limitations, there may also be physical infrastructure limitations that can impact the adoption of AgriTech-as-a-Service solutions. For example, in some areas, there may be limited access to electricity, which can make it difficult to power sensors, drones, and other precision agriculture tools. Overall, infrastructure limitations can be a significant restraint on the growth of the agriculture technology-as-a-service market.

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 enables advanced analytics and machine learning algorithms to process large amounts of data from various sources such as sensors, drones, and satellite imagery. This data-driven approach empowers farmers to make informed decisions regarding crop management, irrigation, pest control, and resource allocation, leading to improved productivity and optimized yields. AI algorithms can analyze historical and real-time data to make predictions and recommendations. Artificial intelligence (AI)and robotics enable the development of autonomous machinery and robotic systems for various farming tasks.

Segment Analysis

The global agriculture technology-as-a-Service market is segmented based on service type, technology, application, and region.

Yield Mapping & Monitoring Held the Highest Share

Based on application, the Agriculture Technology-as-a-Service market is classified into yield mapping & monitoring, soil management, crop health management, navigation & positioning, and others.

In 2022, yield mapping and monitoring has a high share in the agriculture technology-as-a-service market because it plays a critical role in helping farmers optimize their crop yields and increase their profitability. Yield mapping and monitoring involves using sensors and other technologies to gather data on crop yields and other factors that affect plant growth, such as soil moisture levels, nutrient levels, and pest infestations. According to FAO, increasing total food production by almost 70% between 2005-2007 and 2050 would be necessary to feed a global population of 9.1 billion people by that time. Hence, there is a growing need for increasing crop yield.

With the help of yield mapping and monitoring, farmers can analyze their crops and make more informed decisions about how to manage their crop production. They can also use this data to make more accurate predictions about crop yields, which can help them plan their harvests and marketing strategies. Overall, yield mapping and monitoring is a key technology in the agriculture industry that can help farmers increase their efficiency, reduce waste, and improve their profitability, making it a valuable area for investment and growth in the agriculture technology-as-a-service market.

Geographical Analysis

The Large Agricultural Sector in the Asia-Pacific Region

In 2022, the Asia Pacific region has a significant share in the agriculture technology-as-a-service market due to a combination of factors, including a large agricultural sector, increasing adoption of new technologies, and growing demand for more efficient agricultural practices. The Asia Pacific region is home to a large and diverse agricultural sector, with countries such as China, India, Indonesia, and Vietnam. According to Asia Development Bank, 75% of farmers in Asia are reliant on agriculture. By 2050, crop productivity is expected to decline by 15% to 20% (or perhaps 50% in some crops) due to climate change.

This creates a significant market for agriculture technology services that can help farmers optimize their production and improve their yields. Secondly, the region is seeing increasing adoption of new technologies in agriculture, including precision farming, drone technology, and IoT-enabled sensors. Hence, the large agricultural sector has contributed to the Asia Pacific region's high share in the agriculture technology-as-a-service market.

Competitive Landscape

The major global players include: 365FarmNet GmbH, AGCO Corporation, Agrivi, IBM Corporation, Accenture, Airbus SE, AT&T Inc., Degree & Company, Hexagon Agriculture and Topocon Corporation.

Why Purchase the Report?

  • To visualize the global agriculture technology-as-a-Service market segmentation based on service type, technology, application, and region and understand key commercial assets and players.
  • Identify commercial opportunities by analyzing trends and co-development.
  • Excel data sheet with numerous agriculture technology-as-a-Service 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 Technology-as-a-Service Market Report Would Provide Approximately 60 Tables, 60 Figures, And 102 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 Service Type
  • 3.2. Snippet by Technology
  • 3.3. Snippet by Application
  • 3.4. Snippet by Region

4. Dynamics

  • 4.1. Impacting Factors
    • 4.1.1. Drivers
      • 4.1.1.1. Rising Global Population
      • 4.1.1.2. Rising Need for Precision Agriculture
    • 4.1.2. Restraints
      • 4.1.2.1. Infrastructure Limitations
    • 4.1.3. Opportunity
      • 4.1.3.1. Increasing Focus on Sustainability
    • 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-19
    • 6.1.2. Scenario During COVID-19
    • 6.1.3. Scenario Post COVID-19
  • 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 Service Type

  • 7.1. Introduction
    • 7.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Service Type
    • 7.1.2. Market Attractiveness Index, By Service Type
  • 7.2. Software-as-a-service*
    • 7.2.1. Introduction
    • 7.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 7.3. Equipment-as-a-service

8. By Technology

  • 8.1. Introduction
    • 8.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
    • 8.1.2. Market Attractiveness Index, By Technology
  • 8.2. Data Analytics and Intelligence*
    • 8.2.1. Introduction
    • 8.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 8.3. Guidance Technology
  • 8.4. Sensing Technology
  • 8.5. Variable Rate technology
  • 8.6. Others

9. By Application

  • 9.1. Introduction
    • 9.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 9.1.2. Market Attractiveness Index, By Application
  • 9.2. Yield Mapping & Monitoring*
    • 9.2.1. Introduction
    • 9.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 9.3. Soil Management
  • 9.4. Crop Health Management
  • 9.5. Navigation And Positioning
  • 9.6. Others

10. By Region

  • 10.1. Introduction
    • 10.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Region
    • 10.1.2. Market Attractiveness Index, By Region
  • 10.2. North America
    • 10.2.1. Introduction
    • 10.2.2. Key Region-Specific Dynamics
    • 10.2.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Service Type
    • 10.2.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
    • 10.2.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 10.2.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 10.2.6.1. The U.S.
      • 10.2.6.2. Canada
      • 10.2.6.3. Mexico
  • 10.3. Europe
    • 10.3.1. Introduction
    • 10.3.2. Key Region-Specific Dynamics
    • 10.3.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Service Type
    • 10.3.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
    • 10.3.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 10.3.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 10.3.6.1. Germany
      • 10.3.6.2. The UK
      • 10.3.6.3. France
      • 10.3.6.4. Italy
      • 10.3.6.5. Spain
      • 10.3.6.6. Rest of Europe
  • 10.4. South America
    • 10.4.1. Introduction
    • 10.4.2. Key Region-Specific Dynamics
    • 10.4.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Service Type
    • 10.4.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
    • 10.4.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 10.4.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 10.4.6.1. Brazil
      • 10.4.6.2. Argentina
      • 10.4.6.3. Rest of South America
  • 10.5. Asia-Pacific
    • 10.5.1. Introduction
    • 10.5.2. Key Region-Specific Dynamics
    • 10.5.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Service Type
    • 10.5.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
    • 10.5.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 10.5.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 10.5.6.1. China
      • 10.5.6.2. India
      • 10.5.6.3. Japan
      • 10.5.6.4. Australia
      • 10.5.6.5. Rest of Asia-Pacific
  • 10.6. Middle East and Africa
    • 10.6.1. Introduction
    • 10.6.2. Key Region-Specific Dynamics
    • 10.6.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Service Type
    • 10.6.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
    • 10.6.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application

11. Competitive Landscape

  • 11.1. Competitive Scenario
  • 11.2. Market Positioning/Share Analysis
  • 11.3. Mergers and Acquisitions Analysis

12. Company Profiles

  • 12.1. 365FarmNet GmbH*
    • 12.1.1. Company Overview
    • 12.1.2. ProductPortfolio and Description
    • 12.1.3. Financial Overview
    • 12.1.4. Key Developments
  • 12.2. AGCO Corporation
  • 12.3. Agrivi
  • 12.4. IBM Corporation
  • 12.5. Accenture
  • 12.6. Airbus SE
  • 12.7. AT&T Inc.
  • 12.8. Degree & Company
  • 12.9. Hexagon Agriculture
  • 12.10. Topocon Corporation

LIST NOT EXHAUSTIVE

13. Appendix

  • 13.1. About Us and Services
  • 13.2. Contact Us