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1250697

到 2028 年的智能農業市場預測-農業類型、農場規模、產品、按地區進行的全球分析

Smart Agriculture Market Forecasts to 2028 - Global Analysis By Agriculture Type (Precision Farming, Smart Greenhouse and Other Agriculture Types), Farm Size (Large, Small and Medium), Offering (Hardware, Software and Other offerings) and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 175+ Pages | 商品交期: 2-3個工作天內

價格

根據 Stratistics MRC 的數據，2022 年全球智能農業市場規模將達到 203 億美元，預計到 2028 年將達到 479 億美元，複合年增長率為 15.4%。

智能農業是一種農業戰略，它使用信息技術來管理、分析和識別農場的可變性，以最大限度地提高作物產量，同時最大限度地減少人力。通過訪問有關天氣、產量和土壤質量的實時數據，智能農業使農民能夠準確確定提高作物產量所需的養分含量。農民可以採用先進的自動化技術，通過智能農業系統降低勞動力和材料成本。傳感器和監控設備用於智能農業系統，幫助農民在水資源管理、土壤管理、庫存管理、收穫安排等方面做出更好的決策。

總部設在意大利、為可持續農業提供信息和支持的聯合國機構糧食及農業組織發布的一份報告顯示，到 2021 年，53 個國家或地區的關鍵食物焦慮增加了超過 4000 萬人（IPC/CH 階段 3-5)，約有 1.93 億人面臨它。

市場動態

促進者

物聯網 (IoT) 在農業中的採用激增

物聯網 (IoT) 技術在農業中的應用越來越廣泛，可幫助農民通過物聯網應用程序實時監控產品開發。物聯網在傳統農業經營中的應用減少了在土地、能源和水等農業資源上花費的時間和金錢，使農民能夠專注於為客戶提供優質食品。通過節約能源和水資源的智能和可持續解決方案，在農業中使用物聯網技術將提高作物產量並同時減少碳排放。因此，預計在預測期內，農業中物聯網 (IoT) 應用的增加將推動全球市場的增長。

抑製劑

分散的農業產業

農業是一個分散的行業，有許多小公司。它不是由一個或幾個大公司主導的。行業分散使得難以部署標準化的機器對機器 (M2M) 解決方案。土地碎片化導致投入和資源分配效率低下，從而導致高成本。由於難以管理、監督分散的農場並從中獲取數據，在分散的地區實施智能農業實踐非常耗時、昂貴且資源密集。結果，農民很難享受到 M2M 系統的規模經濟。

機會

農業科技初創公司推動智慧農業的傳播

隨著全球大流行，人工智能 (AI) 和物聯網 (IoT) 在農業中的使用顯著增加。農業科技初創公司帶來了全新的視角。他們結合遙感、數據分析、物聯網 (IoT) 和人工智能 (AI) 技術，為農民的問題提供快速解決方案。在 COVID-19 限制期間，這些新興市場的開放促進了技術的發展，使生產商能夠選擇市場並以更高的價格出售他們的商品。根據印度工商聯合會 (FICCI) 的數據，印度有近 450 家農業科技公司，該行業每年以 25% 的速度增長。

威脅

畜牧業造成的環境問題和全球變暖

牛生產佔危害世界的人為溫室氣體排放量的 14-15%。牲畜糞便會阻礙氮循環並污染河流。畜牧業對環境有很大影響，對氣候也有負面影響。它還會造成土地和水的破壞、生物多樣性的喪失、酸雨、珊瑚礁退化和森林砍伐。畜牧業已經消耗了世界上大約 10% 的農業用地和 8% 的可用淡水資源。它還佔世界二氧化碳排放量的 15%，並對森林砍伐和生物多樣性喪失產生重大影響。

COVID-19 的影響

COVID-19 大流行將對全球智能農業部門的增長產生適度影響。智能農業領域的市場進入者看到糧食和乳製品的銷售額增加和減少。供應鏈中斷和貿易限制阻礙了全球智能農業市場的增長。與此同時，嚴格的政府食品安全法對全球智慧農業的發展產生了積極影響。

智能溫室部分預計將在預測期內成為最大的部分

由於對裝備精良的灌溉設施的需求不斷增長以及人們對環境問題的興趣日益濃厚，智能溫室行業有望實現利潤豐厚的增長。水肥管理、空調控制和產量監測是智能溫室應用的一些例子。智能溫室的主要應用是在環境問題日益嚴重的情況下為作物提供充足的供暖和通風，這也推動了智能農業細分市場的增長。

預計軟件行業在預測期內的複合年增長率最高。

在預測期內，軟件行業預計將實現最快的複合年增長率。該細分市場的擴張是由技術進步和新技術採用的增加推動的。部署在智能農業設備中的軟件是基於雲和網絡的。這些計劃幫助農民和牲畜所有者收集、跟蹤和監測數據。因此，智能農業軟件行業正在迅速擴張。

市場佔有率最高的地區

在預測期內，北美預計將佔據最大的市場份額。預計在預測期內，為改善該地區的農業企業而增加的政府舉措和法規將推動北美的區域需求。北美氣候智能型農業聯盟 (NACSAA) 是一個指導和裝備耕種者以實現長期農業生產力的平台。它是由農業協會聯盟組成的。隨著人們對節水的興趣日益濃厚，北美政府正在積極提供激勵措施以擴大智能灌溉的使用。例如，加利福尼亞州提供智能控制器折扣。

複合年增長率最高的地區：

預計亞太地區在預測期內的複合年增長率最高。儘管智能農業在該地區仍處於早期階段，但預計政府支持的增加和種植者意識的提高將在預測期內推動該地區的需求。例如，在日本，農林水產省為發展精準農業提供資金。每個國家的農民協會和社區組織在促進可持續農業方面發揮著重要作用。

重大發展

2021 年 4 月，AGCO公司與創新型農業設備製造商 EZ-Drops 建立戰略合作夥伴關係，為北美的AGCO經銷商提供新的營養輸送系統。這種營養供應系統可從 AGCO 的 RoGator 經銷商處獲得定製配置。該系統允許農民減少氮氣過度噴灑，從而降低農場盈利能力。

2020 年 11 月，AG Reader Technologies 改進了 InCommand 顯示屏並擴展了 SteerCommand 產品組合，包括內置的 SteerCommand Z2 和 SteadySteer。這些項目允許最終用戶使用一個用戶界面來操縱和操作任何農業機械。

我們的報告提供了什麼

  • 區域和國家細分市場份額評估
  • 對新進入者的戰略建議
  • 涵蓋 2020、2021、2022、2025 和 2028 年的市場數據
  • 市場驅動力（市場趨勢、制約因素、機會、威脅、挑戰、投資機會、建議等）
  • 基於市場估計的關鍵業務領域的戰略建議
  • 競爭格局和趨勢
  • 公司概況，包括詳細戰略、財務狀況和近期發展
  • 供應鏈趨勢反映了最新的技術進步。

提供免費定制

購買此報告的客戶將免費獲得以下定制之一。

  • 公司簡介
    • 其他市場公司的綜合概況（最多 3 家公司）
    • 主要公司的SWOT分析（最多3家公司）
  • 區域部分
    • 根據客戶要求提供主要國家的市場預估、預測和CAGR（注：基於可行性檢查）
  • 競爭標桿
    • 根據產品組合、地域分佈和戰略聯盟對主要參與者進行基準測試

目錄

第一章內容提要

第二章前言

  • 概述
  • 利益相關者
  • 調查範圍
  • 調查方法
    • 數據挖掘
    • 數據分析
    • 數據驗證
    • 研究方法
  • 研究來源
    • 主要研究來源
    • 二手研究資源
    • 假設

第三章市場趨勢分析

  • 促進者
  • 抑製劑
  • 機會
  • 威脅
  • 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
  • 競爭對手之間的競爭

5 全球智能農業市場，按農業類型

  • 精準農業
    • 產量監控
      • 在農場
      • 農場外
      • 現場映射
    • 農場勞動力管理
    • 庫存控制
    • 灌溉管理
    • 農作物勘察
    • 天氣跟蹤和預報
  • 智能溫室
    • 水肥管理
    • 空調管理
    • 產量監控
    • 其他智能溫室
  • 精密林業
  • 牲畜監測
    • 動物舒適度管理
    • 養殖管理
    • 飼養管理
    • 牛奶收穫
    • 其他牲畜監測
  • 養魚
  • 精準水產養殖
  • 其他農業類型

6 全球智能農業市場，按農場規模

  • 大的
  • 小的
  • 緩和

7 全球智能農業市場，按產品分類

  • 硬件
    • 閥門和泵
    • LED植物生長燈
    • 空調系統
    • 傳感器及控制系統
    • 其他硬件
  • 軟件
    • 基於雲的
    • 基於網絡
  • 服務
    • 分析服務
    • 支持的專業服務
    • 氣候信息服務
    • 農場管理服務
    • 數據服務
    • 維護和支持
    • 託管服務
    • 供應鏈管理服務
    • 系統集成與諮詢
  • 傳感裝置
    • 氣候傳感器
    • 土壤傳感器
    • 水傳感器
    • 其他傳感設備

8.按地區分列的全球智能農業市場

  • 北美
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 意大利
    • 法國
    • 西班牙
    • 歐洲其他地區
  • 亞太地區
    • 日本
    • 中國
    • 印度
    • 澳大利亞
    • 新西蘭
    • 韓國
    • 亞太其他地區
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 其他南美洲
  • 中東和非洲
    • 沙特阿拉伯
    • 阿拉伯聯合酋長國
    • 卡塔爾
    • 南非
    • 其他中東

第九章主要進展

  • 協議、夥伴關係、合作和合資企業
  • 收購與合併
  • 新產品發布
  • 業務拓展
  • 其他關鍵策略

第十章公司簡介

  • AGCO Corporation
  • Deere & Company
  • CropMetrics LLC
  • Gamaya
  • DeLaval Inc
  • BouMatic Robotic B.V.
  • DICKEY-john
  • Farmers Edge Inc
  • AgJunction, Inc.
  • Ag Leader Technology
  • Granular, Inc.
  • DroneDeploy
  • Autonomous Solutions, Inc.
  • CropZilla
  • AgEagle Aerial Systems Inc.
  • CLAAS KGaA mbH
  • Grownetics, Inc.
  • Argus Control Systems Ltd
Product Code: SMRC22574

According to Stratistics MRC, the Global Smart Agriculture Market is accounted for $20.3 billion in 2022 and is expected to reach $47.9 billion by 2028 growing at a CAGR of 15.4% during the forecast period. Smart agriculture is a farming strategy that employs information technology to manage, analyse, and identify variability on a farm in order to maximise crop yield while minimising human work. Smart agriculture enables farmers to identify the exact amount of nourishment crops require to boost production by accessing real-time data about weather, yields, and soil quality. Farmers can employ advanced automation techniques to reduce labour and material costs with smart agriculture systems. Sensors and monitoring equipment are used in smart farming systems to help farmers make better decisions about water management, soil management, inventory control, and harvesting schedules.

According to a report published by the Food and Agriculture Organization, an Italy-based United Nations agency that provides information and support for sustainable agriculture, in 2021, acute food insecurity at crisis or worse levels was faced by almost 193 million people in 53 countries or territories (IPC/CH Phases 3-5), an increase of over 40 million people.

Market Dynamics:

Driver:

Surging adoption of Internet of Things (IoT) in agriculture

The expanding usage of Internet of Things (IoT) technology in agriculture assists farmers in product development monitoring by providing real-time help via IoT applications. IoT applications in traditional agriculture operations lower the amount of time and money spent on farming resources such as land, energy, and water, allowing farmers to focus on delivering high-quality food to their customers. Using IoT technology in agriculture enhances farm output while cutting carbon emissions through sophisticated sustainable solutions that conserve energy and water resources. As a result, the increased usage of the Internet of Things (IoT) in agriculture is expected to fuel global market growth during the forecast period.

Restraint:

Fragmented agriculture industry

Agriculture is a fragmented industry with a high number of tiny companies. It is not dominated by a single or a few major players. Implementing a standardised machine-to-machine (M2M) solution is difficult due to industrial fragmentation. Because of land fragmentation, input and resource distribution are inefficient, resulting in high costs. Because administering, supervising, and getting data from distributed farms is difficult, applying smart farming practises across scattered areas takes time, money, and resources. As a result, farmers will find it difficult to reap the benefits of scale for M2M systems.

Opportunity:

Agritech startups increased the adoption of smart agricultural practices

With the global pandemic, the use of artificial intelligence (AI) and the Internet of Things (IoT) in agriculture has increased significantly. Agritech startups are bringing fresh perspectives to the table. They are merging remote sensing, data analytics, Internet of Things (IoT), and artificial intelligence (AI) technology to provide farmers with quick solutions to their problems. During the COVID-19 restrictions, these developments aided in the development of technologies that allow producers to select their markets and sell their commodities at greater prices. There are almost 450 Agritech firms in India, according to the Federation of Indian Chambers of Commerce and Industry (FICCI), and the sector is developing at a rate of 25% per year.

Threat:

Livestock farming increasing environmental concerns and global warming

Cattle production accounts for 14-15% of the man-made greenhouse-gas emissions that are endangering the world. Livestock manure can interrupt the nitrogen cycle or contaminate streams. Livestock farming has a significant environmental impact and has a negative impact on the climate. It also contributes to land and water damage, biodiversity loss, acid rain, coral reef deterioration, and deforestation. The livestock industry already consumes approximately 10% of worldwide agricultural land and 8% of total accessible freshwater. It also contributes 15% of global CO2 emissions and is significantly responsible for deforestation and biodiversity loss.

Covid-19 Impact

The COVID-19 pandemic has a moderate impact on the growth of the global smart agriculture sector. Sales of food grains and dairy products increased and decreased for market participants in the smart agriculture sector. The disruptions of the supply chain and trade restrictions have hampered the growth of the global smart agriculture market. On the other hand, strict government laws surrounding food safety and security had a favourable impact on the growth of the worldwide smart agriculture industry.

The smart greenhouse segment is expected to be the largest during the forecast period

The smart greenhouse segment is estimated to have a lucrative growth, due to the expanding requirement for well-developed irrigation facilities and growing environmental concerns. Water and fertiliser management, HVAC control, yield monitoring, and other applications are examples of smart greenhouse applications. The primary applications of smart greenhouses are to give proper heating and ventilation to crops in the face of increased environmental concerns, which also drives the growth of the smart agriculture segment market.

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

The software segment is anticipated to witness the fastest CAGR growth during the forecast period. The segment's expansion is being driven by increasing technical advancements and the adoption of novel technologies. The software deployed in smart agriculture devices and equipment is cloud and web based. These programmes assist farmers and livestock owners with data collecting, tracking, and monitoring. As a result, the software segment in the smart agriculture industry is rapidly expanding.

Region with highest share:

North America is projected to hold the largest market share during the forecast period. Increasing government initiatives and regulations to improve the region's agriculture business are predicted to fuel regional demand in North America over the forecast period. The North America Climate Smart Agriculture Alliance (NACSAA) is a platform for teaching and equipping cultivators for long-term agricultural productivity. It was formed by a coalition of agricultural groups. Given the growing concern for water conservation, governments in North America are aggressively giving incentives to expand the uses of smart irrigation. For example, the state of California has offered a rebate on smart controllers.

Region with highest CAGR:

Asia Pacific is projected to have the highest CAGR over the forecast period. Although smart farming is still in its early stages in this region, expanding government backing and growing cultivator awareness are likely to drive regional demand during the projection period. In Japan, for example, the Ministry of Agriculture has provided funding for the development of precision agriculture. Farmers' associations and community-based organisations in each country play an important role in promoting sustainable agriculture.

Key Players in the market

Some of the key players profiled in the Smart Agriculture Market include AGCO Corporation, Deere & Company, CropMetrics LLC, Gamaya, DeLaval Inc, BouMatic Robotic B.V., DICKEY-john, Farmers Edge Inc, AgJunction, Inc., Ag Leader Technology, Granular, Inc., DroneDeploy, Autonomous Solutions, Inc., CropZilla, AgEagle Aerial Systems Inc., CLAAS KGaA mbH, Grownetics, Inc. and Argus Control Systems Ltd

Key Developments:

In April 2021, AGCO Corporation, in a strategic partnership with EZ-Drops, an innovative agricultural equipment manufacturer, to provide AGCO's dealers in North America with access to a new nutrient supply system. The nutrient application system is available at AGCO's RoGator dealers with customized configurations. This system will help farmers to reduce excess spraying of nitrogen, resulting in decreased farm profitability.

In November 2020, AG Leader Technology improved its InCommand displays and expanded its SteerCommand product portfolio to include built in house SteerCommand Z2 and SteadySteer. End users can use a single use interface to steer and operate any farming equipment with these items.

Agriculture Types Covered:

  • Precision Farming
  • Smart Greenhouse
  • Precision Forestry
  • Livestock Monitoring
  • Fish Farming
  • Precision Aquaculture
  • Other Agriculture Types

Farm Sizes Covered:

  • Large
  • Small
  • Medium

Offerings Covered:

  • Hardware
  • Software
  • Services
  • Sensing Devices

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 2020, 2021, 2022, 2025, and 2028
  • 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 Research 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 Emerging Markets
  • 3.7 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 Market, By Agriculture Type

  • 5.1 Introduction
  • 5.2 Precision Farming
    • 5.2.1 Yield monitoring
      • 5.2.1.1 On-farm
      • 5.2.1.2 Off-farm
      • 5.2.1.3 Field mapping
    • 5.2.2 Farm labor management
    • 5.2.3 Inventory management
    • 5.2.4 Irrigation management
    • 5.2.5 Crop scouting
    • 5.2.6 Weather tracking & forecasting
  • 5.3 Smart Greenhouse
    • 5.3.1 Water & fertilizer management
    • 5.3.2 HVAC management
    • 5.3.3 Yield monitoring
    • 5.3.4 Other Smart Greenhouses
  • 5.4 Precision Forestry
  • 5.5 Livestock Monitoring
    • 5.5.1 Animal comfort management
    • 5.5.2 Breeding management
    • 5.5.3 Feeding management
    • 5.5.4 Milk harvesting
    • 5.5.5 Other Livestock Monitorings
  • 5.6 Fish Farming
  • 5.7 Precision Aquaculture
  • 5.8 Other Agriculture Types

6 Global Smart Agriculture Market, By Farm Size

  • 6.1 Introduction
  • 6.2 Large
  • 6.3 Small
  • 6.4 Medium

7 Global Smart Agriculture Market, By Offering

  • 7.1 Introduction
  • 7.2 Hardware
    • 7.2.1 Valves & pumps
    • 7.2.2 LED grow lights
    • 7.2.3 HVAC system
    • 7.2.4 Sensors & control systems
    • 7.2.5 Other Hardwares
  • 7.3 Software
    • 7.3.1 Cloud-based
    • 7.3.2 Web-based
  • 7.4 Services
    • 7.4.1 Analytics services
    • 7.4.2 Assisted professional services
    • 7.4.3 Climate information services
    • 7.4.4 Farm operation services
    • 7.4.5 Data services
    • 7.4.6 Maintenance & support
    • 7.4.7 Managed services
    • 7.4.8 Supply chain management services
    • 7.4.9 System integration & consulting
  • 7.5 Sensing Devices
    • 7.5.1 Climate sensors
    • 7.5.2 Soil sensor
    • 7.5.3 Water sensors
    • 7.5.4 Other Sensing Devices

8 Global Smart Agriculture Market, By Geography

  • 8.1 Introduction
  • 8.2 North America
    • 8.2.1 US
    • 8.2.2 Canada
    • 8.2.3 Mexico
  • 8.3 Europe
    • 8.3.1 Germany
    • 8.3.2 UK
    • 8.3.3 Italy
    • 8.3.4 France
    • 8.3.5 Spain
    • 8.3.6 Rest of Europe
  • 8.4 Asia Pacific
    • 8.4.1 Japan
    • 8.4.2 China
    • 8.4.3 India
    • 8.4.4 Australia
    • 8.4.5 New Zealand
    • 8.4.6 South Korea
    • 8.4.7 Rest of Asia Pacific
  • 8.5 South America
    • 8.5.1 Argentina
    • 8.5.2 Brazil
    • 8.5.3 Chile
    • 8.5.4 Rest of South America
  • 8.6 Middle East & Africa
    • 8.6.1 Saudi Arabia
    • 8.6.2 UAE
    • 8.6.3 Qatar
    • 8.6.4 South Africa
    • 8.6.5 Rest of Middle East & Africa

9 Key Developments

  • 9.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 9.2 Acquisitions & Mergers
  • 9.3 New Product Launch
  • 9.4 Expansions
  • 9.5 Other Key Strategies

10 Company Profiling

  • 10.1 AGCO Corporation
  • 10.2 Deere & Company
  • 10.3 CropMetrics LLC
  • 10.4 Gamaya
  • 10.5 DeLaval Inc
  • 10.6 BouMatic Robotic B.V.
  • 10.7 DICKEY-john
  • 10.8 Farmers Edge Inc
  • 10.9 AgJunction, Inc.
  • 10.10 Ag Leader Technology
  • 10.11 Granular, Inc.
  • 10.12 DroneDeploy
  • 10.13 Autonomous Solutions, Inc.
  • 10.14 CropZilla
  • 10.15 AgEagle Aerial Systems Inc.
  • 10.16 CLAAS KGaA mbH
  • 10.17 Grownetics, Inc.
  • 10.18 Argus Control Systems Ltd

List of Tables

  • Table 1 Global Smart Agriculture Market Outlook, By Region (2020-2028) ($MN)
  • Table 2 Global Smart Agriculture Market Outlook, By Agriculture Type (2020-2028) ($MN)
  • Table 3 Global Smart Agriculture Market Outlook, By Precision Farming (2020-2028) ($MN)
  • Table 4 Global Smart Agriculture Market Outlook, By Yield monitoring (2020-2028) ($MN)
  • Table 5 Global Smart Agriculture Market Outlook, By On-farm (2020-2028) ($MN)
  • Table 6 Global Smart Agriculture Market Outlook, By Off-farm (2020-2028) ($MN)
  • Table 7 Global Smart Agriculture Market Outlook, By Field mapping (2020-2028) ($MN)
  • Table 8 Global Smart Agriculture Market Outlook, By Farm labor management (2020-2028) ($MN)
  • Table 9 Global Smart Agriculture Market Outlook, By Inventory management (2020-2028) ($MN)
  • Table 10 Global Smart Agriculture Market Outlook, By Irrigation management (2020-2028) ($MN)
  • Table 11 Global Smart Agriculture Market Outlook, By Crop scouting (2020-2028) ($MN)
  • Table 12 Global Smart Agriculture Market Outlook, By Weather tracking & forecasting (2020-2028) ($MN)
  • Table 13 Global Smart Agriculture Market Outlook, By Smart Greenhouse (2020-2028) ($MN)
  • Table 14 Global Smart Agriculture Market Outlook, By Water & fertilizer management (2020-2028) ($MN)
  • Table 15 Global Smart Agriculture Market Outlook, By HVAC management (2020-2028) ($MN)
  • Table 16 Global Smart Agriculture Market Outlook, By Yield monitoring (2020-2028) ($MN)
  • Table 17 Global Smart Agriculture Market Outlook, By Other Smart Greenhouses (2020-2028) ($MN)
  • Table 18 Global Smart Agriculture Market Outlook, By Precision Forestry (2020-2028) ($MN)
  • Table 19 Global Smart Agriculture Market Outlook, By Livestock Monitoring (2020-2028) ($MN)
  • Table 20 Global Smart Agriculture Market Outlook, By Animal comfort management (2020-2028) ($MN)
  • Table 21 Global Smart Agriculture Market Outlook, By Breeding management (2020-2028) ($MN)
  • Table 22 Global Smart Agriculture Market Outlook, By Feeding management (2020-2028) ($MN)
  • Table 23 Global Smart Agriculture Market Outlook, By Milk harvesting (2020-2028) ($MN)
  • Table 24 Global Smart Agriculture Market Outlook, By Other Livestock Monitorings (2020-2028) ($MN)
  • Table 25 Global Smart Agriculture Market Outlook, By Fish Farming (2020-2028) ($MN)
  • Table 26 Global Smart Agriculture Market Outlook, By Precision Aquaculture (2020-2028) ($MN)
  • Table 27 Global Smart Agriculture Market Outlook, By Other Agriculture Types (2020-2028) ($MN)
  • Table 28 Global Smart Agriculture Market Outlook, By Farm Size (2020-2028) ($MN)
  • Table 29 Global Smart Agriculture Market Outlook, By Large (2020-2028) ($MN)
  • Table 30 Global Smart Agriculture Market Outlook, By Small (2020-2028) ($MN)
  • Table 31 Global Smart Agriculture Market Outlook, By Medium (2020-2028) ($MN)
  • Table 32 Global Smart Agriculture Market Outlook, By Offering (2020-2028) ($MN)
  • Table 33 Global Smart Agriculture Market Outlook, By Hardware (2020-2028) ($MN)
  • Table 34 Global Smart Agriculture Market Outlook, By Valves & pumps (2020-2028) ($MN)
  • Table 35 Global Smart Agriculture Market Outlook, By LED grow lights (2020-2028) ($MN)
  • Table 36 Global Smart Agriculture Market Outlook, By HVAC system (2020-2028) ($MN)
  • Table 37 Global Smart Agriculture Market Outlook, By Sensors & control systems (2020-2028) ($MN)
  • Table 38 Global Smart Agriculture Market Outlook, By Other Hardwares (2020-2028) ($MN)
  • Table 39 Global Smart Agriculture Market Outlook, By Software (2020-2028) ($MN)
  • Table 40 Global Smart Agriculture Market Outlook, By Cloud-based (2020-2028) ($MN)
  • Table 41 Global Smart Agriculture Market Outlook, By Web-based (2020-2028) ($MN)
  • Table 42 Global Smart Agriculture Market Outlook, By Services (2020-2028) ($MN)
  • Table 43 Global Smart Agriculture Market Outlook, By Analytics services (2020-2028) ($MN)
  • Table 44 Global Smart Agriculture Market Outlook, By Assisted professional services (2020-2028) ($MN)
  • Table 45 Global Smart Agriculture Market Outlook, By Climate information services (2020-2028) ($MN)
  • Table 46 Global Smart Agriculture Market Outlook, By Farm operation services (2020-2028) ($MN)
  • Table 47 Global Smart Agriculture Market Outlook, By Data services (2020-2028) ($MN)
  • Table 48 Global Smart Agriculture Market Outlook, By Maintenance & support (2020-2028) ($MN)
  • Table 49 Global Smart Agriculture Market Outlook, By Managed services (2020-2028) ($MN)
  • Table 50 Global Smart Agriculture Market Outlook, By Supply chain management services (2020-2028) ($MN)
  • Table 51 Global Smart Agriculture Market Outlook, By System integration & consulting (2020-2028) ($MN)
  • Table 52 Global Smart Agriculture Market Outlook, By Sensing Devices (2020-2028) ($MN)
  • Table 53 Global Smart Agriculture Market Outlook, By Climate sensors (2020-2028) ($MN)
  • Table 54 Global Smart Agriculture Market Outlook, By Soil sensor (2020-2028) ($MN)
  • Table 55 Global Smart Agriculture Market Outlook, By Water sensors (2020-2028) ($MN)
  • Table 56 Global Smart Agriculture Market Outlook, By Other Sensing Devices (2020-2028) ($MN)

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