查看購物車
  • Simplified Chinese
  • English
  • Japanese
  • Korean
封面
市場調查報告書
商品編碼
1530659

到 2030 年智慧農業解決方案市場預測：按解決方案類型、農業類型、農場規模、部署模式、應用、最終用戶和地區進行的全球分析

Smart Agriculture Solution Market Forecasts to 2030 - Global Analysis By Solution Type (Hardware, Software, Service), Agriculture Type, Farm Size, Deployment Mode, Application, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3個工作天內

價格

根據Stratistics MRC預測，2024年全球智慧農業解決方案市場規模將達156億美元，預計2030年將達到261億美元，預測期內複合年成長率為8.9%。

智慧農業解決方案將技術融入傳統農業實踐中，以提高效率、生產力和永續性。這些解決方案涵蓋物聯網感測器、無人機、人工智慧和資料分析等多種技術，用於監測作物、土壤狀況、牲畜健康和天氣模式。透過提供即時洞察和自動化決策能力，智慧農業可以最佳化資源配置，減少對環境的影響，並提高作物產量。這種變革性方法可以幫助農民做出明智的決策並有效地適應不斷變化的農業條件。

更多採用先進技術

在用於即時資料收集的物聯網感測器、用於預測分析的人工智慧演算法以及用於精密農業的無人機技術等創新的推動下，市場正在快速採用先進技術。這些技術使農民能夠最佳化資源利用、遠端監測作物健康狀況以及自動化灌溉和害蟲防治等任務。智慧型設備和雲端平台的整合增強了決策能力，促進了永續實踐，並提高了農業生產力。

資料安全問題

由於物聯網設備和雲端基礎的系統的整合，資料安全已成為行業的主要問題。問題包括感測器網路的漏洞、可能危及作物產量或天氣模式等敏感資料的資料外洩的可能性，以及對強大加密通訊協定的需求。確保資料的安全傳輸和儲存對於降低未授權存取和網路攻擊的風險、保護農民的業務洞察力以及保持對先進農業技術的信心至關重要。

對食物的需求增加

全球人口的成長和食品需求的增加正在推動市場創新。這些技術利用物聯網、人工智慧和資料分析來最佳化農業流程、提高生產力並確保永續實踐。主要解決方案包括精密農業、智慧灌溉系統和作物監測工具，使農民能夠做出資料驅動的決策、節省資源並提高產量。該行業的成長對於有效滿足未來糧食需求同時減輕環境影響至關重要。

缺乏技術專長

農民和其他參與者缺乏技術知識是市場的一個主要問題。實施先進技術需要專業知識。這一差距阻礙了智慧農業方法的引進和農業資源的有效利用。有必要透過提供非技術用戶需求的全面培訓計劃和易於使用的解決方案來應對這一挑戰，並培育支持性生態系統以提高農業數位素養。

COVID-19 的影響：

由於在封鎖和社交距離措施期間需要遠端監控和管理農場，COVID-19 大流行大大加速了智慧農業解決方案的採用。物聯網感測器、人工智慧主導的分析和精密農業工具等技術對於保持生產力和效率至關重要。隨著農民尋求有彈性、技術支援的方法來確保糧食安全，市場對數位農業解決方案的投資增加。

預計在預測期內牲畜監測部門將是最大的

預計在預測期內牲畜監測將達到高峰。這些系統即時追蹤健康狀態、位置和行為等重要參數。透過利用飼養模式和健康指標的資料，農民可以最佳化飼養週期、及早發現疾病並提高整體管理效率。這些創新不僅確保更好的動物護理，而且還透過最大限度地減少資源浪費和最大限度地提高產量，為永續農業實踐做出貢獻。

預計飼養管理產業在預測期內複合年成長率最高。

預計飼養管理產業在預測期內複合年成長率最高。人工智慧演算法分析這些資料並推薦準確的飼餵計畫和飼料調整，以改善動物健康和生產力。自動供料器和精密供料技術進一步確保了資源利用效率。這種整體方法不僅提高了農場的盈利，而且還透過減少廢棄物和環境影響來促進永續實踐。

比最大的地區

預計北美在預測期內將佔據最大的市場佔有率。農民正在利用巨量資料分析和人工智慧來做出有關種植、灌溉和害蟲管理的明智決策。在減少用水、盡量減少環境影響和改善土壤健康的智慧技術的推動下，人們越來越重視永續農業實踐。由於農場規模的擴大、對更高生產力的需求以及政府支持數位農業的舉措，該市場正在見證成長。

複合年成長率最高的地區：

預計亞太地區在預測期內將維持最高的複合年成長率。減少化學品使用和監測土壤健康可促進永續農業並與全球環境目標保持一致。增強的連結性和即時資料將使農民能夠更有效地進入市場，促進更好的價格談判和市場一體化。農業、自動化和智慧灌溉系統的快速發展最佳化了資源利用並最大限度地減少了對環境的影響。

免費客製化服務：

訂閱此報告的客戶可以存取以下免費自訂選項之一：

  • 公司簡介
    • 其他市場參與者的綜合分析（最多 3 家公司）
    • 主要企業SWOT分析（最多3家企業）
  • 區域分割
    • 根據客戶興趣對主要國家的市場估計、預測和複合年成長率（註：基於可行性檢查）
  • 競爭基準化分析
    • 根據產品系列、地理分佈和策略聯盟對主要企業基準化分析

目錄

第1章執行摘要

第2章 前言

  • 概述
  • 相關利益者
  • 調查範圍
  • 研究調查方法
    • 資料探勘
    • 資料分析
    • 資料檢驗
    • 研究途徑
  • 研究資訊來源
    • 主要研究資訊來源
    • 二次研究資訊來源
    • 先決條件

第3章市場趨勢分析

  • 促進因素
  • 抑制因素
  • 機會
  • 威脅
  • 應用分析
  • 最終用戶分析
  • 新興市場
  • COVID-19 的影響

第4章波特五力分析

  • 供應商的議價能力
  • 買方議價能力
  • 替代品的威脅
  • 新進入者的威脅
  • 競爭公司之間的敵對關係

第5章全球智慧農業解決方案市場：依解決方案類型

  • 硬體
    • 感應器
    • 無人機
    • 機器人
    • GPS系統
  • 軟體
    • 農場管理軟體
    • 資料分析平台
    • 雲端基礎的解決方案
    • 預測分析工具
  • 服務
    • 諮詢
    • 託管服務
    • 綜合服務

第6章全球智慧農業解決方案市場：依農業類型

  • 精密農業
  • 牲畜監測
  • 智慧溫室
  • 養魚業
  • 其他農業類型

第7章全球智慧農業解決方案市場：依農場規模

  • 小農場
  • 中型農場
  • 大型農場

第8章全球智慧農業解決方案市場：依部署模式

  • 本地
  • 雲端基礎

第9章全球智慧農業解決方案市場：依應用分類

  • 產量監控
  • 現場測繪
  • 作物調查
  • 飼養管理
  • 熱壓力管理
  • 氣候控制
  • 照明管理
  • 其他用途

第10章全球智慧農業解決方案市場：依最終用戶分類

  • 農民
  • 農業合作社
  • 農業相關產業
  • 學術研究所
  • 其他最終用戶

第11章全球智慧農業解決方案市場：按地區

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 義大利
    • 法國
    • 西班牙
    • 其他歐洲國家
  • 亞太地區
    • 日本
    • 中國
    • 印度
    • 澳洲
    • 紐西蘭
    • 韓國
    • 其他亞太地區
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地區
  • 中東/非洲
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 卡達
    • 南非
    • 其他中東和非洲

第12章 主要進展

  • 合約、夥伴關係、協作和合資企業
  • 收購和合併
  • 新產品發布
  • 業務拓展
  • 其他關鍵策略

第13章 公司概況

  • Deere & Company
  • Trimble Inc.
  • AGCO Corporation
  • AG Leader Technology
  • TeeJet Technologies
  • Topcon Positioning Systems, Inc.
  • Hexagon Agriculture
  • Yara International ASA
  • CropX Technologies Ltd.
  • Kubota Corporation
  • Prospera Technologies
  • Granular, Inc.
  • TopFlight Technologies
  • Autonomous Tractor Corporation
  • PrecisionHawk Inc.
  • Mavrx Inc.
  • Farmobile
Product Code: SMRC26771

According to Stratistics MRC, the Global Smart Agriculture Solution Market is accounted for $15.6 billion in 2024 and is expected to reach $26.1 billion by 2030 growing at a CAGR of 8.9% during the forecast period. Smart Agriculture Solutions integrate technology into traditional agricultural practices to enhance efficiency, productivity, and sustainability. These solutions encompass a range of technologies such as IoT sensors, drones, AI, and data analytics to monitor crops, soil conditions, livestock health, and weather patterns. By providing real-time insights and automated decision-making capabilities, smart agriculture optimizes resource allocation, reduces environmental impact, and improves crop yields. This transformative approach helps farmers make informed decisions and adapt to changing agricultural conditions more effectively.

Market Dynamics:

Driver:

Rising adoption of advanced technologies

The market is witnessing a surge in advanced technology adoption, driven by innovations such as IoT sensors for real-time data collection, AI algorithms for predictive analytics, and drone technology for precision farming. These technologies enable farmers to optimize resource usage, monitor crop health remotely, and automate tasks like irrigation and pest control. Integration of smart devices with cloud platforms enhances decision-making, fostering sustainable practices and improving agricultural productivity.

Restraint:

Data security concerns

Data security presents substantial industry issues as a result of the integration of IoT devices and cloud-based systems. Issues include vulnerabilities in sensor networks, potential data breaches compromising sensitive farm data (like crop yields and weather patterns), and the need for robust encryption protocols. Ensuring secure data transmission and storage is crucial to mitigate risks of unauthorized access and cyber-attacks, safeguarding farmers' operational insights and maintaining trust in advanced agricultural technologies.

Opportunity:

Growing demand for food

The increasing global population and rising food demand are driving innovations in the market. These technologies leverage IoT, AI, and data analytics to optimize farming processes, enhance productivity, and ensure sustainable practices. Key solutions include precision farming, smart irrigation systems, and crop monitoring tools, which enable farmers to make data-driven decisions, conserve resources, and increase yields. This sector's growth is crucial for meeting future food demands efficiently while mitigating environmental impact.

Threat:

Lack of technical expertise

The lack of technical knowledge among farmers and other players is a major problem in the market. Implementing advanced technologies requires specialized knowledge. This gap hinders the adoption of smart farming practices and efficient use of agricultural resources. Addressing this challenge involves providing comprehensive training programs and user-friendly solutions tailored to the needs of non-technical users, fostering a supportive ecosystem that enhances digital literacy in agriculture.

Covid-19 Impact:

The COVID-19 pandemic significantly accelerated the adoption of smart agriculture solutions, driven by the need for remote monitoring and management of farms amidst lockdowns and social distancing measures. Technologies like IoT sensors, AI-driven analytics, and precision agriculture tools became crucial for maintaining productivity and efficiency. The market saw increased investment in digital farming solutions as farmers sought resilient, technology-enabled approaches to ensure food security.

The livestock monitoring segment is expected to be the largest during the forecast period

The livestock monitoring is expected to be the largest during the forecast period. These systems track vital parameters like health status, location, and behavior in real-time. By leveraging data on feeding patterns and health indicators, farmers can optimize breeding cycles, detect illnesses early, and improve overall management efficiency. Such innovations not only ensure better animal care but also contribute to sustainable farming practices by minimizing resource wastage and maximizing yield.

The feeding management segment is expected to have the highest CAGR during the forecast period

The feeding management segment is expected to have the highest CAGR during the forecast period. AI algorithms analyze this data to recommend precise feeding schedules and dietary adjustments, enhancing animal health and productivity. Automated feeders and precision feeding techniques further ensure efficiency in resource utilization. This holistic approach not only improves farm profitability but also promotes sustainable practices by reducing waste and environmental impact.

Region with largest share:

North America is projected to hold the largest market share during the forecast period. Farmers are leveraging big data analytics and AI to make informed decisions about planting, irrigation and pest management. There's a growing emphasis on sustainable farming practices, driven by smart technologies that reduce water usage, minimize environmental impact, and improve soil health. The market is witnessing growth due to increasing farm sizes, demand for higher productivity, and government initiatives supporting digital agriculture.

Region with highest CAGR:

Asia Pacific is projected to hold the highest CAGR over the forecast period. Reduced chemical usage and soil health monitoring promote sustainable farming practices, aligning with global environmental goals. Improved connectivity and real-time data enable farmers to access markets more efficiently, facilitating better price negotiation and market integration. Rapid growth in agriculture, automation and smart irrigation systems optimize resource utilization and minimize environmental impact.

Key players in the market

Some of the key players in Smart Agriculture Solution market include Deere & Company, Trimble Inc., AGCO Corporation, AG Leader Technology, TeeJet Technologies, Topcon Positioning Systems, Inc., Hexagon Agriculture, Yara International ASA, CropX Technologies Ltd., Kubota Corporation, Prospera Technologies, Granular, Inc., TopFlight Technologies, Autonomous Tractor Corporation, PrecisionHawk Inc., Mavrx Inc. and Farmobile.

Key Developments:

In July 2023, Deere & Company announced the acquisition of Smart Apply, Inc. The company planned to leverage Smart Apply's precision spraying to assist growers in addressing the challenges associated with input costs, labor, regulatory requirements, and environmental goals.

In April 2023, AGCO Corporation announced a strategic collaboration with Hexagon, for the expansion of AGCO's factory-fit and aftermarket guidance offerings. The new guidance system was planned to be commercialized as Fuse Guide on Valtra and Massey Ferguson tractors.

Solution Types Covered:

  • Hardware
  • Software
  • Service

Agriculture Types Covered:

  • Precision Farming
  • Livestock Monitoring
  • Smart Greenhouses
  • Fish Farming
  • Other Agriculture Types

Farm Sizes Covered:

  • Small Farms
  • Medium Farms
  • Large Farms

Deployment Modes Covered:

  • On-Premises
  • Cloud-Based

Applications Covered:

  • Yield Monitoring
  • Field Mapping
  • Crop Scouting
  • Feeding Management
  • Heat Stress Management
  • Climate Control
  • Lighting Management
  • Other Applications

End Users Covered:

  • Farmers
  • Agricultural Cooperatives
  • Agribusinesses
  • Academic & Research Institutes
  • Other End Users

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • Rest of Middle East & Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2022, 2023, 2024, 2026, and 2030
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

  • 2.1 Abstract
  • 2.2 Stake Holders
  • 2.3 Research Scope
  • 2.4 esearch Methodology
    • 2.4.1 Data Mining
    • 2.4.2 Data Analysis
    • 2.4.3 Data Validation
    • 2.4.4 Research Approach
  • 2.5 Research Sources
    • 2.5.1 Primary Research Sources
    • 2.5.2 Secondary Research Sources
    • 2.5.3 Assumptions

3 Market Trend Analysis

  • 3.1 Introduction
  • 3.2 Drivers
  • 3.3 Restraints
  • 3.4 Opportunities
  • 3.5 Threats
  • 3.6 Application Analysis
  • 3.7 End User Analysis
  • 3.8 Emerging Markets
  • 3.9 Impact of Covid-19

4 Porters Five Force Analysis

  • 4.1 Bargaining power of suppliers
  • 4.2 Bargaining power of buyers
  • 4.3 Threat of substitutes
  • 4.4 Threat of new entrants
  • 4.5 Competitive rivalry

5 Global Smart Agriculture Solution Market, By Solution Type

  • 5.1 Introduction
  • 5.2 Hardware
    • 5.2.1 Sensors
    • 5.2.2 Drones
    • 5.2.3 Robots
    • 5.2.4 GPS Systems
  • 5.3 Software
    • 5.3.1 Farm Management Software
    • 5.3.2 Data Analytics Platforms
    • 5.3.3 Cloud-Based Solutions
    • 5.3.4 Predictive Analytics Tools
  • 5.4 Service
    • 5.4.1 Consulting
    • 5.4.2 Managed Services
    • 5.4.3 Integration Services

6 Global Smart Agriculture Solution Market, By Agriculture Type

  • 6.1 Introduction
  • 6.2 Precision Farming
  • 6.3 Livestock Monitoring
  • 6.4 Smart Greenhouses
  • 6.5 Fish Farming
  • 6.6 Other Agriculture Types

7 Global Smart Agriculture Solution Market, By Farm Size

  • 7.1 Introduction
  • 7.2 Small Farms
  • 7.3 Medium Farms
  • 7.4 Large Farms

8 Global Smart Agriculture Solution Market, By Deployment Mode

  • 8.1 Introduction
  • 8.2 On-Premises
  • 8.3 Cloud-Based

9 Global Smart Agriculture Solution Market, By Application

  • 9.1 Introduction
  • 9.2 Yield Monitoring
  • 9.3 Field Mapping
  • 9.4 Crop Scouting
  • 9.5 Feeding Management
  • 9.6 Heat Stress Management
  • 9.7 Climate Control
  • 9.8 Lighting Management
  • 9.9 Other Applications

10 Global Smart Agriculture Solution Market, By End User

  • 10.1 Introduction
  • 10.2 Farmers
  • 10.3 Agricultural Cooperatives
  • 10.4 Agribusinesses
  • 10.5 Academic & Research Institutes
  • 10.6 Other End Users

11 Global Smart Agriculture Solution Market, By Geography

  • 11.1 Introduction
  • 11.2 North America
    • 11.2.1 US
    • 11.2.2 Canada
    • 11.2.3 Mexico
  • 11.3 Europe
    • 11.3.1 Germany
    • 11.3.2 UK
    • 11.3.3 Italy
    • 11.3.4 France
    • 11.3.5 Spain
    • 11.3.6 Rest of Europe
  • 11.4 Asia Pacific
    • 11.4.1 Japan
    • 11.4.2 China
    • 11.4.3 India
    • 11.4.4 Australia
    • 11.4.5 New Zealand
    • 11.4.6 South Korea
    • 11.4.7 Rest of Asia Pacific
  • 11.5 South America
    • 11.5.1 Argentina
    • 11.5.2 Brazil
    • 11.5.3 Chile
    • 11.5.4 Rest of South America
  • 11.6 Middle East & Africa
    • 11.6.1 Saudi Arabia
    • 11.6.2 UAE
    • 11.6.3 Qatar
    • 11.6.4 South Africa
    • 11.6.5 Rest of Middle East & Africa

12 Key Developments

  • 12.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 12.2 Acquisitions & Mergers
  • 12.3 New Product Launch
  • 12.4 Expansions
  • 12.5 Other Key Strategies

13 Company Profiling

  • 13.1 Deere & Company
  • 13.2 Trimble Inc.
  • 13.3 AGCO Corporation
  • 13.4 AG Leader Technology
  • 13.5 TeeJet Technologies
  • 13.6 Topcon Positioning Systems, Inc.
  • 13.7 Hexagon Agriculture
  • 13.8 Yara International ASA
  • 13.9 CropX Technologies Ltd.
  • 13.10 Kubota Corporation
  • 13.11 Prospera Technologies
  • 13.12 Granular, Inc.
  • 13.13 TopFlight Technologies
  • 13.14 Autonomous Tractor Corporation
  • 13.15 PrecisionHawk Inc.
  • 13.16 Mavrx Inc.
  • 13.17 Farmobile

List of Tables

  • Table 1 Global Smart Agriculture Solution Market Outlook, By Region (2022-2030) ($MN)
  • Table 2 Global Smart Agriculture Solution Market Outlook, By Solution Type (2022-2030) ($MN)
  • Table 3 Global Smart Agriculture Solution Market Outlook, By Hardware (2022-2030) ($MN)
  • Table 4 Global Smart Agriculture Solution Market Outlook, By Sensors (2022-2030) ($MN)
  • Table 5 Global Smart Agriculture Solution Market Outlook, By Drones (2022-2030) ($MN)
  • Table 6 Global Smart Agriculture Solution Market Outlook, By Robots (2022-2030) ($MN)
  • Table 7 Global Smart Agriculture Solution Market Outlook, By GPS Systems (2022-2030) ($MN)
  • Table 8 Global Smart Agriculture Solution Market Outlook, By Software (2022-2030) ($MN)
  • Table 9 Global Smart Agriculture Solution Market Outlook, By Farm Management Software (2022-2030) ($MN)
  • Table 10 Global Smart Agriculture Solution Market Outlook, By Data Analytics Platforms (2022-2030) ($MN)
  • Table 11 Global Smart Agriculture Solution Market Outlook, By Cloud-Based Solutions (2022-2030) ($MN)
  • Table 12 Global Smart Agriculture Solution Market Outlook, By Predictive Analytics Tools (2022-2030) ($MN)
  • Table 13 Global Smart Agriculture Solution Market Outlook, By Service (2022-2030) ($MN)
  • Table 14 Global Smart Agriculture Solution Market Outlook, By Consulting (2022-2030) ($MN)
  • Table 15 Global Smart Agriculture Solution Market Outlook, By Managed Services (2022-2030) ($MN)
  • Table 16 Global Smart Agriculture Solution Market Outlook, By Integration Services (2022-2030) ($MN)
  • Table 17 Global Smart Agriculture Solution Market Outlook, By Agriculture Type (2022-2030) ($MN)
  • Table 18 Global Smart Agriculture Solution Market Outlook, By Precision Farming (2022-2030) ($MN)
  • Table 19 Global Smart Agriculture Solution Market Outlook, By Livestock Monitoring (2022-2030) ($MN)
  • Table 20 Global Smart Agriculture Solution Market Outlook, By Smart Greenhouses (2022-2030) ($MN)
  • Table 21 Global Smart Agriculture Solution Market Outlook, By Fish Farming (2022-2030) ($MN)
  • Table 22 Global Smart Agriculture Solution Market Outlook, By Other Agriculture Types (2022-2030) ($MN)
  • Table 23 Global Smart Agriculture Solution Market Outlook, By Farm Size (2022-2030) ($MN)
  • Table 24 Global Smart Agriculture Solution Market Outlook, By Small Farms (2022-2030) ($MN)
  • Table 25 Global Smart Agriculture Solution Market Outlook, By Medium Farms (2022-2030) ($MN)
  • Table 26 Global Smart Agriculture Solution Market Outlook, By Large Farms (2022-2030) ($MN)
  • Table 27 Global Smart Agriculture Solution Market Outlook, By Deployment Mode (2022-2030) ($MN)
  • Table 28 Global Smart Agriculture Solution Market Outlook, By On-Premises (2022-2030) ($MN)
  • Table 29 Global Smart Agriculture Solution Market Outlook, By Cloud-Based (2022-2030) ($MN)
  • Table 30 Global Smart Agriculture Solution Market Outlook, By Application (2022-2030) ($MN)
  • Table 31 Global Smart Agriculture Solution Market Outlook, By Yield Monitoring (2022-2030) ($MN)
  • Table 32 Global Smart Agriculture Solution Market Outlook, By Field Mapping (2022-2030) ($MN)
  • Table 33 Global Smart Agriculture Solution Market Outlook, By Crop Scouting (2022-2030) ($MN)
  • Table 34 Global Smart Agriculture Solution Market Outlook, By Feeding Management (2022-2030) ($MN)
  • Table 35 Global Smart Agriculture Solution Market Outlook, By Heat Stress Management (2022-2030) ($MN)
  • Table 36 Global Smart Agriculture Solution Market Outlook, By Climate Control (2022-2030) ($MN)
  • Table 37 Global Smart Agriculture Solution Market Outlook, By Lighting Management (2022-2030) ($MN)
  • Table 38 Global Smart Agriculture Solution Market Outlook, By Other Applications (2022-2030) ($MN)
  • Table 39 Global Smart Agriculture Solution Market Outlook, By End User (2022-2030) ($MN)
  • Table 40 Global Smart Agriculture Solution Market Outlook, By Farmers (2022-2030) ($MN)
  • Table 41 Global Smart Agriculture Solution Market Outlook, By Agricultural Cooperatives (2022-2030) ($MN)
  • Table 42 Global Smart Agriculture Solution Market Outlook, By Agribusinesses (2022-2030) ($MN)
  • Table 43 Global Smart Agriculture Solution Market Outlook, By Academic & Research Institutes (2022-2030) ($MN)
  • Table 44 Global Smart Agriculture Solution Market Outlook, By Other End Users (2022-2030) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.