全球農業技術即服務市場 - 2023-2030 年
市場調查報告書
商品編碼
1316241

全球農業技術即服務市場 - 2023-2030 年

Global Agriculture Technology-as-a-Service Market - 2023-2030

出版日期: | 出版商: DataM Intelligence | 英文 102 Pages | 商品交期: 約2個工作天內

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簡介目錄

市場概述

全球農業技術即服務市場規模在2022 年達到26 億美元,預計到2030 年將實現利潤豐厚的成長,達到123 億美元。在2023-2030 年的預測期內,該市場的年複合成長率將達到21.5%。

農場管理軟體簡化了操作,提高了效率,增強了農場的決策能力,因此越來越受歡迎。服務型模式為農場主提供了使用雲農場管理軟體的機會,使他們能夠實現數位化營運,並從作物規劃、庫存管理和財務分析等先進功能中獲益。軟體即服務提供的便利性和可擴展性推動了市場成長。

先進的農業技術,如物聯網(IoT)設備、無人機和機器人,對於個體農民來說,投資和維護費用可能很高。即服務"模式使農民無需大筆前期費用即可獲得這些技術。服務提供商以訂購方式提供物聯網設備、用於空中成像的無人機以及用於各種農場作業的機器人系統。通過"即用即服務"模式,這些技術的可及性和可負擔性推動了市場的成長。

市場動態

全球人口成長推動市場成長

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。人口成長帶來了更大的糧食需求,以確保全球糧食安全。 Agri-TaaS 解決方案通過提高農業生產率、最佳化資源利用和提高作物產量,在滿足這一成長需求方面發揮著至關重要的作用。

隨著人口不斷成長,農業系統需要提高糧食生產效率。農業TaaS 技術使農民能夠採用精準農業實踐,利用數據驅動的洞察力、遙感和自動化來最佳化作物管理。這將提高資源分配效率、減少浪費並提高生產率。因此,全球人口成長推動了農業技術即服務市場的成長。

對精準農業日益成長的需求推動了農業技術即服務市場的成長

由於糧食需求不斷成長,需要減少農業對環境的負面影響,以及水和化肥等投入成本的不斷上升,採用精準農業的需求正在不斷成長。例如,印度最大的綜合穀物商務平台Arya.ag 於2022 年11 月宣布,已對SaaS 公司Assert AI 進行戰略投資,以開發針對農業行業的產品,該公司專注於電腦視覺領域。

農業技術即服務(AgriTech-as-a-Service)解決方案可以讓農民以訂閱或按使用付費的方式獲得最新的精準農業技術和工具。這對於可能沒有資源購買和維護技術基礎設施的中小型農場主來說尤其有利。總之,對精準農業的需求是農業科技市場成長的主要驅動力。

基礎設施的限制阻礙了農業技術即服務市場的發展

在許多以農業為主要產業的農村地區,高速網際網路、移動網路和其他數位基礎設施的使用可能有限,而這些都是有效使用農業技術即服務解決方案所必需的。如果沒有可靠的高速網際網路連接,農民可能無法訪問雲端基礎應用程式、數據分析工具和其他對精準農業至關重要的線上資源。這會限制農民最佳化投入、即時監控作物以及就何時投入或收穫作物做出明智決策的能力。

除了數位基礎設施的限制,物理基礎設施的限制也會影響農業技術即服務解決方案的採用。例如,在某些地區,電力供應可能有限,這可能導致難以為感測器、無人機和其他精準農業工具供電。總之,基礎設施的限制會嚴重阻礙農業技術即服務市場的發展。

COVID-19 影響分析

COVID-19 影響分析包括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(由於交易限制、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

人工智慧可利用先進的分析和機器學習算法處理來自感測器、無人機和衛星圖像等各種來源的大量數據。這種數據驅動的方法使農民能夠在作物管理、灌溉、病蟲害防治和資源分配方面做出明智的決策,從而提高生產率和最佳化產量。人工智慧算法可以分析歷史數據和即時數據,從而做出預測和提出建議。人工智慧(AI)和機器人技術使自主機械和機器人系統的開發成為可能,可用於各種農業任務。

目 錄

第1 章:研究方法與範圍

  • 研究方法
  • 報告的研究目標和範圍

第2章:定義和概述

第3章:執行摘要

  • 按服務類型摘錄
  • 按技術分類
  • 按應用分類
  • 按地區分類

第四章:動態

  • 影響因素
    • 促進因素
      • 全球人口成長
      • 對精準農業的需求不斷成長
    • 限制因素
      • 基礎設施限制
    • 機會
      • 對永續性的日益關注
    • 影響分析

第5 章:行業分析

  • 波特五力分析法
  • 供應鏈分析
  • 定價分析
  • 監管分析

第6 章:COVID-19 分析

  • COVID-19 分析
    • COVID-19 之前的情況
    • COVID-19 期間的情景
    • COVID-19 後的情況
  • COVID-19 期間的定價動態
  • 供需關係
  • 大流行期間與市場相關的政府計劃
  • 製造商的戰略計劃
  • 結論

第7 章:按服務類型分類

  • 軟體即服務
  • 設備即服務

第八章:按技術分類

  • 數據分析與智慧
  • 制導技術
  • 感測技術
  • 可變速率技術
  • 其他技術

第9 章:按應用分類

  • 產量測繪與監測
  • 土壤管理
  • 作物健康管理
  • 導航和定位
  • 其他應用

第10 章:按地區分類

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 法國
    • 義大利
    • 西班牙
    • 歐洲其他地區
  • 南美洲
    • 巴西
    • 阿根廷
    • 南美洲其他地區
  • 亞太地區
    • 中國
    • 印度
    • 日本
    • 澳大利亞
    • 亞太其他地區
  • 中東和非洲

第11 章:競爭格局

  • 競爭格局
  • 市場定位/佔有率分析
  • 合併與收購分析

第十二章:公司簡介

  • 365FarmNet GmbH
    • 公司概況
    • 產品組合和說明
    • 財務概況
    • 主要發展
  • AGCO Corporation
  • Agrivi
  • IBM Corporation
  • Accenture
  • Airbus SE
  • AT&T Inc.
  • Degree & Company
  • Hexagon Agriculture
  • Topocon Corporation

第13 章:附錄

簡介目錄
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