查看购物车
  • Traditional Chinese
  • English
  • Japanese
  • Korean
封面
市场调查报告书
商品编码
1250697

到 2028 年的智能农业市场预测-农业类型、农场规模、产品、按地区进行的全球分析

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个工作天内

价格

根据 Stratistics MRC 的数据，2022 年全球智能农业市场规模将达到 203 亿美元，预计到 2028 年将达到 479 亿美元，复合年增长率为 15.4%。

智能农业是一种农业战略，它使用信息技术来管理、分析和识别农场的可变性，以最大限度地提高作物产量，同时最大限度地减少人力。通过访问有关天气、产量和土壤质量的实时数据，智能农业使农民能够准确确定提高作物产量所需的养分含量。农民可以采用先进的自动化技术，通过智能农业系统降低劳动力和材料成本。传感器和监控设备用于智能农业系统，帮助农民在水资源管理、土壤管理、库存管理、收穫安排等方面做出更好的决策。

总部设在意大利、为可持续农业提供信息和支持的联合国机构粮食及农业组织发布的一份报告显示，到 2021 年，53 个国家或地区的关键食物焦虑增加了超过 4000 万人（IPC/CH 阶段 3-5)，约有 1.93 亿人面临它。

市场动态

促进者

物联网 (IoT) 在农业中的采用激增

物联网 (IoT) 技术在农业中的应用越来越广泛，可帮助农民通过物联网应用程序实时监控产品开发。物联网在传统农业经营中的应用减少了在土地、能源和水等农业资源上花费的时间和金钱，使农民能够专注于为客户提供优质食品。通过节约能源和水资源的智能和可持续解决方案，在农业中使用物联网技术将提高作物产量并同时减少碳排放。因此，预计在预测期内，农业中物联网 (IoT) 应用的增加将推动全球市场的增长。

抑製剂

分散的农业产业

农业是一个分散的行业，有许多小公司。它不是由一个或几个大公司主导的。行业分散使得难以部署标准化的机器对机器 (M2M) 解决方案。土地碎片化导致投入和资源分配效率低下，从而导致高成本。由于难以管理、监督分散的农场并从中获取数据，在分散的地区实施智能农业实践非常耗时、昂贵且资源密集。结果，农民很难享受到 M2M 系统的规模经济。

机会

农业科技初创公司推动智慧农业的传播

随着全球大流行，人工智能 (AI) 和物联网 (IoT) 在农业中的使用显着增加。农业科技初创公司带来了全新的视角。他们结合遥感、数据分析、物联网 (IoT) 和人工智能 (AI) 技术，为农民的问题提供快速解决方案。在 COVID-19 限制期间，这些新兴市场的开放促进了技术的发展，使生产商能够选择市场并以更高的价格出售他们的商品。根据印度工商联合会 (FICCI) 的数据，印度有近 450 家农业科技公司，该行业每年以 25% 的速度增长。

威胁

畜牧业造成的环境问题和全球变暖

牛生产占危害世界的人为温室气体排放量的 14-15%。牲畜粪便会阻碍氮循环并污染河流。畜牧业对环境有很大影响，对气候也有负面影响。它还会造成土地和水的破坏、生物多样性的丧失、酸雨、珊瑚礁退化和森林砍伐。畜牧业已经消耗了世界上大约 10% 的农业用地和 8% 的可用淡水资源。它还占世界二氧化碳排放量的 15%，并对森林砍伐和生物多样性丧失产生重大影响。

COVID-19 的影响

COVID-19 大流行将对全球智能农业部门的增长产生适度影响。智能农业领域的市场进入者看到粮食和乳製品的销售额增加和减少。供应链中断和贸易限制阻碍了全球智能农业市场的增长。与此同时，严格的政府食品安全法对全球智慧农业的发展产生了积极影响。

智能温室部分预计将在预测期内成为最大的部分

由于对装备精良的灌溉设施的需求不断增长以及人们对环境问题的兴趣日益浓厚，智能温室行业有望实现利润丰厚的增长。水肥管理、空调控制和产量监测是智能温室应用的一些例子。智能温室的主要应用是在环境问题日益严重的情况下为作物提供充足的供暖和通风，这也推动了智能农业细分市场的增长。

预计软件行业在预测期内的复合年增长率最高。

在预测期内，软件行业预计将实现最快的复合年增长率。该细分市场的扩张是由技术进步和新技术采用的增加推动的。部署在智能农业设备中的软件是基于云和网络的。这些计划帮助农民和牲畜所有者收集、跟踪和监测数据。因此，智能农业软件行业正在迅速扩张。

市场占有率最高的地区

在预测期内，北美预计将占据最大的市场份额。预计在预测期内，为改善该地区的农业企业而增加的政府举措和法规将推动北美的区域需求。北美气候智能型农业联盟 (NACSAA) 是一个指导和装备耕种者以实现长期农业生产力的平台。它是由农业协会联盟组成的。随着人们对节水的兴趣日益浓厚，北美政府正在积极提供激励措施以扩大智能灌溉的使用。例如，加利福尼亚州提供智能控制器折扣。

复合年增长率最高的地区：

预计亚太地区在预测期内的复合年增长率最高。儘管智能农业在该地区仍处于早期阶段，但预计政府支持的增加和种植者意识的提高将在预测期内推动该地区的需求。例如，在日本，农林水产省为发展精准农业提供资金。每个国家的农民协会和社区组织在促进可持续农业方面发挥着重要作用。

重大发展

2021 年 4 月，AGCO公司与创新型农业设备製造商 EZ-Drops 建立战略合作伙伴关係，为北美的AGCO经销商提供新的营养输送系统。这种营养供应系统可从 AGCO 的 RoGator 经销商处获得定製配置。该系统允许农民减少氮气过度喷洒，从而降低农场盈利能力。

2020 年 11 月，AG Reader Technologies 改进了 InCommand 显示屏并扩展了 SteerCommand 产品组合，包括内置的 SteerCommand Z2 和 SteadySteer。这些项目允许最终用户使用一个用户界面来操纵和操作任何农业机械。

我们的报告提供了什么

  • 区域和国家细分市场份额评估
  • 对新进入者的战略建议
  • 涵盖 2020、2021、2022、2025 和 2028 年的市场数据
  • 市场驱动力（市场趋势、制约因素、机会、威胁、挑战、投资机会、建议等）
  • 基于市场估计的关键业务领域的战略建议
  • 竞争格局和趋势
  • 公司概况，包括详细战略、财务状况和近期发展
  • 供应链趋势反映了最新的技术进步。

提供免费定制

购买此报告的客户将免费获得以下定制之一。

  • 公司简介
    • 其他市场公司的综合概况（最多 3 家公司）
    • 主要公司的SWOT分析（最多3家公司）
  • 区域部分
    • 根据客户要求提供主要国家的市场预估、预测和CAGR（注：基于可行性检查）
  • 竞争标桿
    • 根据产品组合、地域分布和战略联盟对主要参与者进行基准测试

目录

第一章内容提要

第二章前言

  • 概述
  • 利益相关者
  • 调查范围
  • 调查方法
    • 数据挖掘
    • 数据分析
    • 数据验证
    • 研究方法
  • 研究来源
    • 主要研究来源
    • 二手研究资源
    • 假设

第三章市场趋势分析

  • 促进者
  • 抑製剂
  • 机会
  • 威胁
  • 新兴市场
  • COVID-19 的影响

第4章波特五力分析

  • 供应商的议价能力
  • 买方议价能力
  • 替代品的威胁
  • 新进入者的威胁
  • 竞争对手之间的竞争

5 全球智能农业市场，按农业类型

  • 精准农业
    • 产量监控
      • 在农场
      • 农场外
      • 现场映射
    • 农场劳动力管理
    • 库存控制
    • 灌溉管理
    • 农作物勘察
    • 天气跟踪和预报
  • 智能温室
    • 水肥管理
    • 空调管理
    • 产量监控
    • 其他智能温室
  • 精密林业
  • 牲畜监测
    • 动物舒适度管理
    • 养殖管理
    • 饲养管理
    • 牛奶收穫
    • 其他牲畜监测
  • 养鱼
  • 精准水产养殖
  • 其他农业类型

6 全球智能农业市场，按农场规模

  • 大的
  • 小的
  • 缓和

7 全球智能农业市场，按产品分类

  • 硬件
    • 阀门和泵
    • LED植物生长灯
    • 空调系统
    • 传感器及控制系统
    • 其他硬件
  • 软件
    • 基于云的
    • 基于网络
  • 服务
    • 分析服务
    • 支持的专业服务
    • 气候信息服务
    • 农场管理服务
    • 数据服务
    • 维护和支持
    • 託管服务
    • 供应链管理服务
    • 系统集成与咨询
  • 传感装置
    • 气候传感器
    • 土壤传感器
    • 水传感器
    • 其他传感设备

8.按地区分列的全球智能农业市场

  • 北美
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 意大利
    • 法国
    • 西班牙
    • 欧洲其他地区
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 澳大利亚
    • 新西兰
    • 韩国
    • 亚太其他地区
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 其他南美洲
  • 中东和非洲
    • 沙特阿拉伯
    • 阿拉伯联合酋长国
    • 卡塔尔
    • 南非
    • 其他中东

第九章主要进展

  • 协议、伙伴关係、合作和合资企业
  • 收购与合併
  • 新产品发布
  • 业务拓展
  • 其他关键策略

第十章公司简介

  • 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.