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市场调查报告书
商品编码
1722912

2025 年至 2033 年智慧农业市场规模、份额、趋势及预测（按农业类型、产品、农场规模和地区）

Smart Agriculture Market Size, Share, Trends, and Forecast by Agriculture Type, Offering, Farm Size, and Region 2025-2033
出版日期: | 出版商: IMARC | 英文 141 Pages | 商品交期: 2-3个工作天内

价格

2024 年全球智慧农业市场规模价值 187 亿美元。展望未来，预计到 2033 年市场规模将达到 371 亿美元，2025-2033 年期间的复合年增长率为 7.9%。北美目前占据市场主导地位，到 2024 年将占据超过 44% 的显着市场。在政府支持、先进技术的广泛采用、对永续高效农业实践的需求不断增长以及应对严重劳动力短缺的需求不断增加的推动下，市场正在经历稳步增长。

智慧农业市场趋势：

主要市场驱动因素：农民对采用智慧农业设备和实践的好处的认识不断提高，加上全球对优质食品的需求不断增加，是推动市场成长的主要因素。

主要市场趋势：将技术先进的农业机器人（例如自动拖拉机和飞行无人机）融入农业，帮助农民以低成本生产粮食，是市场的重要关键趋势之一。

地理格局：根据报告，北美占据最大的市场份额。该地区的成长可归因于先进的基础设施、强劲的技术创新以及对优化农业流程的高度重视。此外，北美拥有高度发展的技术生态系统，该地区主要市场参与者的存在为市场创造了积极的前景。

竞争格局：一些领先的智慧农业市场公司包括 AG Leader Technology、AGCO Corporation、AgJunction Inc.（久保田株式会社）、CLAAS KGaA mbH、CropMetrics LLC（CropX Inc.）、Deere & Company、DICKEY-john、Farmers Edge Gamaya、Graneva Inc.、Gamaya、Graneva Inc.（Cort）与 Tri Inc. 等。

挑战与机会：智慧农业市场的挑战包括初始投资成本高、农民认知和采用程度有限以及整合各种技术的复杂性。然而，可持续增加粮食产量、优化资源利用和减轻气候变迁对农业的影响的需求带来了重大机会。

智慧农业市场趋势：

人口快速成长和粮食安全问题日益严重

人口成长、可支配收入增加以及生活水准提高导致粮食需求增加。因此，农民正在使用变数播种和精准施肥等智慧农业技术，帮助他们优化产量并最大限度地减少浪费。资料报告显示，为了满足2050年全球粮食需求，全球农业产量需增加48.6%。除此之外，每公顷可耕地面积的减少和熟练劳动力的缺乏也增加了对智慧农业实践的需求。此外，城市化程度的提高吸引农村家庭迁移到城市地区，因为城市地区提供了大量的就业机会。这种转变导致各地出现农业劳动力短缺。例如，根据印度经济监测中心（CMIE）的调查，印度农业就业人数从2022年的1.582亿下降到2023年的1.479亿。展望未来，印度食品和农业委员会预计，到2050年，印度农业工人比例将下降25.7%。透过采用智慧农业实践，农民可以优化资源利用率，缓解资源稀缺，并为永续农业实践做出贡献。反过来，预计这将推动未来几年智慧农业市场的需求。

技术进步

各个主要市场参与者正在引入技术先进的传感器，以实现高效监控并促进及时决策。此外，越来越多的农民开始采用精准农业，因为它着重观察、测量和应对田地间作物变异。此外，精准农业预计将在 2030 年底超越农业领域的其他进步，并在未来几年推动智慧农业市场收入的成长。此外，根据ETNO预测，2022年至2025年间，欧盟农业领域物联网活跃连线数量预计将会增加。 2022 年的连线数为 4,692 万，预计到 2025 年将达到 7,026 万。除此之外，各种技术供应商正在建立合作伙伴关係，为农民提供更先进的精准农业工具和设备。例如，2023 年 10 月，迪尔公司与瑞典的 Delaval 公司合作成立了牛奶永续发展中心，并与挪威的 Yara 公司合作开发了永续发展的数位精准农业工具。此次合作旨在帮助农民追踪牲畜和化肥资料，以便他们能够做出更明智的商业决策，从而更好地保护环境。

落实政府优惠政策

政府（尤其是发展中国家的政府）旨在最大限度地提高生产力，鼓励使用现代农业技术。例如在印度，马哈拉施特拉邦政府在2022年10月中央政府批准使用无人机喷洒农药后，也推出了一项政策。此外，印度还推出了多项政策、补贴、税收优惠和补助金，以激励农业活动，减轻农民的经济负担，从而扩大智慧农业的市场份额。例如，加拿大政府推出了《加拿大农业贷款法案》，为农民购买土地或拖拉机提供最高50万美元的贷款。与此相符的是，相关监管机构也十分重视机械操作员的训练计画。同样，印度农业和农民福利部也采取了多项倡议，包括国家农业电子化政府计画（NeGPA）。根据该计划，将提供资金促进人工智慧（AI）、机器学习（ML）、机器人、无人机、资料分析和区块链等现代技术的使用，以鼓励该国的数位农业。

目录

第一章：前言

第二章：范围与方法

  • 研究目标
  • 利害关係人
  • 资料来源
    • 主要来源
    • 次要来源
  • 市场评估
    • 自下而上的方法
    • 自上而下的方法
  • 预测方法

第三章：执行摘要

第四章：简介

  • 概述
  • 主要行业趋势

第五章：全球智慧农业市场

  • 市场概览
  • 市场表现
  • COVID-19的影响
  • 市场预测

第六章：市场细分：依农业类型

  • 精准农业
  • 牲畜监控
  • 智慧温室
  • 其他的

第七章：市场区隔：依发行

  • 硬体
  • 软体
  • 服务

第八章：市场细分：依农场规模

  • 小的
  • 中等的
  • 大的

第九章：市场细分：依地区

  • 北美洲
    • 美国
    • 加拿大
  • 亚太
    • 中国
    • 日本
    • 印度
    • 韩国
    • 澳洲
    • 印尼
    • 其他的
  • 欧洲
    • 德国
    • 法国
    • 英国
    • 义大利
    • 西班牙
    • 俄罗斯
    • 其他的
  • 拉丁美洲
    • 巴西
    • 墨西哥
    • 其他的
  • 中东和非洲
    • 市场区隔：依国家

第十章：SWOT分析

  • 概述
  • 优势
  • 弱点
  • 机会
  • 威胁

第 11 章：价值链分析

第 12 章：波特五力分析

  • 概述
  • 买家的议价能力
  • 供应商的议价能力
  • 竞争程度
  • 新进入者的威胁
  • 替代品的威胁

第十三章：价格分析

第 14 章：竞争格局

  • 市场结构
  • 关键参与者
  • 关键参与者简介
    • AG Leader Technology
    • AGCO Corporation
    • AgJunction Inc. (Kubota Corporation)
    • CLAAS KGaA mbH
    • CropMetrics LLC (CropX inc.)
    • Deere & Company
    • DICKEY-john
    • Farmers Edge Inc.
    • Gamaya
    • Granular Inc. (Corteva Inc.)
    • Raven Industries Inc. (CNH Industrial NV)
    • Trimble Inc.
Product Code: SR112025A5242

The global smart agriculture market size was valued at USD 18.7 Billion in 2024. Looking forward, the market is forecasted to reach USD 37.1 Billion by 2033, exhibiting a CAGR of 7.9% during 2025-2033. North America currently dominates the market, holding a significant market share of over 44% in 2024. The market is experiencing steady growth driven by the government support, widespread adoption of advanced technology, the increasing demand for sustainable and efficient farming practices, and rising need to cope with acute labor shortages.

Smart Agriculture Market Trends:

Major Market Drivers: The growing awareness among farmers about the benefits of employing smart agriculture equipment and practices, along with the escalating demand for quality food across the globe, is primarily driving the growth of the market.

Key Market Trends: The integration of technologically advanced agricultural robotics in farming, such as autonomous tractors and flying drones that help farmers produce food at low costs, is one of the significant key trends for the market.

Geographical Landscape: According to the report, North America accounted for the largest market share. The growth in the region can be attributed to the advanced infrastructure, robust technological innovation, and a strong focus on optimizing agricultural processes. Moreover, North America has a highly developed ecosystem of technology, and the presence of key market players in the region is creating a positive outlook for the market.

Competitive Landscape: Some of the leading smart agriculture market companies are AG Leader Technology, AGCO Corporation, AgJunction Inc. (Kubota Corporation), CLAAS KGaA mbH, CropMetrics LLC (CropX Inc.), Deere & Company, DICKEY-john, Farmers Edge Inc., Gamaya, Granular Inc. (Corteva Inc.), Raven Industries Inc. (CNH Industrial N.V.), and Trimble Inc., among many others.

Challenges and Opportunities: The smart agriculture market faces challenges related to high initial investment costs, limited awareness and adoption among farmers, and the complexity of integrating various technologies. However, there are significant opportunities driven by the need to increase food production sustainably, optimize resource use, and mitigate the impact of climate change on agriculture.

Smart Agriculture Market Trends:

Rapid Population Growth and Rising Food Security Concerns

The growing population, inflating disposable incomes, and elevating standards of living have resulted in the increasing food demand. As a result, farmers are using smart agriculture techniques like variable rate seeding and precision fertilization, which help them optimize yields and minimize wastage. According to a data report, in order to meet the global food demand in 2050, agricultural production has to increase by 48.6 percent worldwide. Besides this, declining per hectare area of arable land and low availability of skilled labor are also augmenting the need for smart agriculture practices. Moreover, the elevating level of urbanization is enticing rural households to migrate to urban areas, as these areas offer a plethora of job opportunities. This shift has resulted in a shortage of farm labor in various regions. For instance, according to a survey by the Centre for Monitoring the Indian Economy (CMIE), India witnessed a drop in the number of people employed in agriculture from 158.2 million in 2022 to 147.9 million in 2023. Looking ahead, the Indian Council of Food and Agriculture anticipates a 25.7% decline in the percentage of agriculture workers in India by 2050. By adopting smart agriculture practices, farmers can optimize resource utilization, mitigate resource scarcity, and contribute to sustainable agricultural practices. This, in turn, is anticipated to propel the smart agriculture market demand in the coming years.

Technological Advancements

Various key market players are introducing technologically advanced sensors to enable efficient monitoring and facilitate timely decisions. Moreover, numerous farmers are increasingly adopting precision farming since it focuses on the observation, measurement, and response to crop variability between fields. Additionally, precision farming, which will overtake other advances in agriculture by the end of 2030, is predicted to propel the smart agriculture market revenue in the coming years. Furthermore, according to ETNO, the number of IoT active connections in agriculture was expected to increase in the European Union through the years 2022-2025. It was recorded at 46.92 million connections in 2022 and is expected to reach 70.26 million by 2025. Besides this, various technology providers are forming partnerships to offer more advance precision farming tools and devices to farmers. For instance, in October 2023, Deere & Co partnered with 2 Sweden-based Delaval on the Milk Sustainability Center and Norway-based Yara on digital precision agriculture tools for sustainability. This partnership aims to help farmers track livestock and fertilizer data so they can make smarter business decisions that are better for the environment as well.

Implementation of Favorable Government Initiatives

Government initiatives aimed at maximizing productivity, especially in developing countries, are encouraging the use of modern farming technologies. For instance, in India, the Maharashtra government introduced a policy following the Center's clearance of the use of drones to spray pesticides in October 2022. In addition to this, the introduction of several policies, subsidies, tax incentives, and grants to incentivize agricultural activities and alleviate financial burdens on farmers is augmenting the smart agriculture market share. For example, the Canadian government introduced the 'Canadian Agricultural Loans Act,' which offers farmers a loan of up to US$ 500,000 while purchasing land or a tractor. In line with this, concerned regulatory authorities are also focusing on training programs for machinery operators. Similarly, India's Ministry of Agriculture & Farmers' Welfare has undertaken several initiatives, including the National e-Governance Plan in Agriculture (NeGPA). Under this scheme, funds are provided to facilitate the use of modern technologies such as Artificial Intelligence (AI), Machine Learning (ML), robotics, drones, data analytics, and blockchain to encourage digital agriculture in the country.

Smart Agriculture Industry Segmentation:

Breakup by Agriculture Type:

  • Precision Farming
  • Livestock Monitoring
  • Smart Greenhouse
  • Others

Precision farming dominates the market

Precision farming leverages cutting-edge technologies such as GPS, remote sensing, and data analytics to provide farmers with detailed insights into their fields' conditions. This helps farmers to make informed decisions in real-time. As a result, the demand for precision farming techniques and devices is growing, which is bolstering the smart agriculture market recent price. Various farm owners are collaborating with technology providers to deploy precision farming practices. For instance, in October 2023, Zuari FarmHub, a leading agritech company in India, announced its partnership with CropX Technologies, a global agri-tech company specializing in digital agronomic solutions. The collaboration aims to revolutionize farming practices by introducing real-time monitoring technology that empowers farmers with data-driven insights for enhanced productivity and sustainability.

Breakup by Offering:

  • Hardware
  • Software
  • Service

Hardware holds the largest share in the market

Smart agriculture market statistics by IMARC indicate that the hardware components such as sensors, drones, GPS devices, and automated machinery serve as the foundation for gathering critical data and executing precision-based tasks. Farmers heavily rely on hardware to acquire accurate and real-time information about various parameters like soil moisture, temperature, crop health, and weather conditions. Consequently, various market leaders are providing technologically advanced devices to farmers to derive meaningful insights and make informed decisions regarding agricultural practices. For instance, Bhu-Vision was officially launched in August 2023 at AICRP (ICAR-IIRR), Hyderabad. It is a revolutionary IoT-based automated soil testing and agronomy advisory platform. This system seamlessly conducts 12 key soil parameter tests in just 30 minutes, providing quick, accurate results directly to farmers and stakeholders through a soil health card on their mobile devices. Such innovations are projected to positively impact the smart agriculture market outlook in the coming years.

Breakup by Farm Size:

  • Small
  • Medium
  • Large

Medium size farm account for the majority of the market share

Medium-sized farms occupy a unique position, balancing scale and resources to harness the benefits of both efficiency and adaptability. Medium-sized farms often possess the resources and infrastructure necessary to adopt modern smart agriculture technologies without the complexities associated with larger operations. They can invest in precision farming equipment, such as sensors, drones, and data analytics systems, enabling them to optimize crop management and resource utilization effectively. Furthermore, medium-sized farms are well-positioned to implement technological advancements while maintaining a level of personal oversight that might be challenging for larger operations. This adaptability allows them to respond to changing conditions swiftly and make informed decisions based on real-time data.

Breakup by Region:

  • North America
  • United States
  • Canada
  • Asia-Pacific
  • China
  • Japan
  • India
  • South Korea
  • Australia
  • Indonesia
  • Others
  • Europe
  • Germany
  • France
  • United Kingdom
  • Italy
  • Spain
  • Russia
  • Others
  • Latin America
  • Brazil
  • Mexico
  • Others
  • Middle East and Africa

North America exhibits a clear dominance in the market

The market research report has also provided a comprehensive analysis of all the major regional markets, which include North America (the United States and Canada); Europe (Germany, France, the United Kingdom, Italy, Spain, Russia, and others); Asia Pacific (China, Japan, India, South Korea, Australia, Indonesia, and others); Latin America (Brazil, Mexico, and others); and the Middle East and Africa. According to the report, North America accounted for the largest market share.

The smart agriculture market overview indicates that the growth in the region can be attributed to the advanced infrastructure, robust technological innovation, and a strong focus on optimizing agricultural processes. Moreover, North America has a highly developed ecosystem of technology, and the presence of key market players in the region is creating a positive outlook for the market. Various farming technology providers are entering collaborations and partnerships to offer advanced to the farmers. For instance, Trimble Agriculture, based in Westminster, Colorado, US, and xFarm Technologies announced a partnership in November 2022. Trimble, the global player in precision farming technology, provides farmers with more valuable and efficient solutions through integration with the xFarm app developed by tech company xFarm Technologies, which uses its digital platform to support and simplify the work of 120,000 farms spread across 1.7 million hectares in over 100 countries. Moreover, farmers in North America recognize the potential of technology to mitigate these challenges and enhance their competitiveness in a global market.

Competitive Landscape:

The market research report has provided a comprehensive analysis of the competitive landscape in the market. Detailed profiles of all major companies have also been provided. Some of the key players in the market include:

  • AG Leader Technology
  • AGCO Corporation
  • AgJunction Inc. (Kubota Corporation)
  • CLAAS KGaA mbH
  • CropMetrics LLC (CropX Inc.)
  • Deere & Company
  • DICKEY-john
  • Farmers Edge Inc.
  • Gamaya
  • Granular Inc. (Corteva Inc.)
  • Raven Industries Inc. (CNH Industrial N.V.)
  • Trimble Inc.

Key Questions Answered in This Report

  • 1.What is smart agriculture?
  • 2.How big is the smart agriculture market?
  • 3.What is the expected growth rate of the global smart agriculture market during 2025-2033?
  • 4.What are the key factors driving the global smart agriculture market?
  • 5.What is the leading segment of the global smart agriculture market based on the agriculture type?
  • 6.What is the leading segment of the global smart agriculture market based on offering?
  • 7.What is the leading segment of the global smart agriculture market based on farm size?
  • 8.Which region is expected to have the largest market share in the smart agriculture market?
  • 9.Who are the key players/companies in the global smart agriculture market?

Table of Contents

1 Preface

2 Scope and Methodology

  • 2.1 Objectives of the Study
  • 2.2 Stakeholders
  • 2.3 Data Sources
    • 2.3.1 Primary Sources
    • 2.3.2 Secondary Sources
  • 2.4 Market Estimation
    • 2.4.1 Bottom-Up Approach
    • 2.4.2 Top-Down Approach
  • 2.5 Forecasting Methodology

3 Executive Summary

4 Introduction

  • 4.1 Overview
  • 4.2 Key Industry Trends

5 Global Smart Agriculture Market

  • 5.1 Market Overview
  • 5.2 Market Performance
  • 5.3 Impact of COVID-19
  • 5.4 Market Forecast

6 Market Breakup by Agriculture Type

  • 6.1 Precision Farming
    • 6.1.1 Market Trends
    • 6.1.2 Market Forecast
  • 6.2 Livestock Monitoring
    • 6.2.1 Market Trends
    • 6.2.2 Market Forecast
  • 6.3 Smart Greenhouse
    • 6.3.1 Market Trends
    • 6.3.2 Market Forecast
  • 6.4 Others
    • 6.4.1 Market Trends
    • 6.4.2 Market Forecast

7 Market Breakup by Offering

  • 7.1 Hardware
    • 7.1.1 Market Trends
    • 7.1.2 Market Forecast
  • 7.2 Software
    • 7.2.1 Market Trends
    • 7.2.2 Market Forecast
  • 7.3 Service
    • 7.3.1 Market Trends
    • 7.3.2 Market Forecast

8 Market Breakup by Farm Size

  • 8.1 Small
    • 8.1.1 Market Trends
    • 8.1.2 Market Forecast
  • 8.2 Medium
    • 8.2.1 Market Trends
    • 8.2.2 Market Forecast
  • 8.3 Large
    • 8.3.1 Market Trends
    • 8.3.2 Market Forecast

9 Market Breakup by Region

  • 9.1 North America
    • 9.1.1 United States
      • 9.1.1.1 Market Trends
      • 9.1.1.2 Market Forecast
    • 9.1.2 Canada
      • 9.1.2.1 Market Trends
      • 9.1.2.2 Market Forecast
  • 9.2 Asia-Pacific
    • 9.2.1 China
      • 9.2.1.1 Market Trends
      • 9.2.1.2 Market Forecast
    • 9.2.2 Japan
      • 9.2.2.1 Market Trends
      • 9.2.2.2 Market Forecast
    • 9.2.3 India
      • 9.2.3.1 Market Trends
      • 9.2.3.2 Market Forecast
    • 9.2.4 South Korea
      • 9.2.4.1 Market Trends
      • 9.2.4.2 Market Forecast
    • 9.2.5 Australia
      • 9.2.5.1 Market Trends
      • 9.2.5.2 Market Forecast
    • 9.2.6 Indonesia
      • 9.2.6.1 Market Trends
      • 9.2.6.2 Market Forecast
    • 9.2.7 Others
      • 9.2.7.1 Market Trends
      • 9.2.7.2 Market Forecast
  • 9.3 Europe
    • 9.3.1 Germany
      • 9.3.1.1 Market Trends
      • 9.3.1.2 Market Forecast
    • 9.3.2 France
      • 9.3.2.1 Market Trends
      • 9.3.2.2 Market Forecast
    • 9.3.3 United Kingdom
      • 9.3.3.1 Market Trends
      • 9.3.3.2 Market Forecast
    • 9.3.4 Italy
      • 9.3.4.1 Market Trends
      • 9.3.4.2 Market Forecast
    • 9.3.5 Spain
      • 9.3.5.1 Market Trends
      • 9.3.5.2 Market Forecast
    • 9.3.6 Russia
      • 9.3.6.1 Market Trends
      • 9.3.6.2 Market Forecast
    • 9.3.7 Others
      • 9.3.7.1 Market Trends
      • 9.3.7.2 Market Forecast
  • 9.4 Latin America
    • 9.4.1 Brazil
      • 9.4.1.1 Market Trends
      • 9.4.1.2 Market Forecast
    • 9.4.2 Mexico
      • 9.4.2.1 Market Trends
      • 9.4.2.2 Market Forecast
    • 9.4.3 Others
      • 9.4.3.1 Market Trends
      • 9.4.3.2 Market Forecast
  • 9.5 Middle East and Africa
    • 9.5.1 Market Trends
    • 9.5.2 Market Breakup by Country
    • 9.5.3 Market Forecast

10 SWOT Analysis

  • 10.1 Overview
  • 10.2 Strengths
  • 10.3 Weaknesses
  • 10.4 Opportunities
  • 10.5 Threats

11 Value Chain Analysis

12 Porters Five Forces Analysis

  • 12.1 Overview
  • 12.2 Bargaining Power of Buyers
  • 12.3 Bargaining Power of Suppliers
  • 12.4 Degree of Competition
  • 12.5 Threat of New Entrants
  • 12.6 Threat of Substitutes

13 Price Analysis

14 Competitive Landscape

  • 14.1 Market Structure
  • 14.2 Key Players
  • 14.3 Profiles of Key Players
    • 14.3.1 AG Leader Technology
      • 14.3.1.1 Company Overview
      • 14.3.1.2 Product Portfolio
    • 14.3.2 AGCO Corporation
      • 14.3.2.1 Company Overview
      • 14.3.2.2 Product Portfolio
      • 14.3.2.3 Financials
      • 14.3.2.4 SWOT Analysis
    • 14.3.3 AgJunction Inc. (Kubota Corporation)
      • 14.3.3.1 Company Overview
      • 14.3.3.2 Product Portfolio
      • 14.3.3.3 Financials
    • 14.3.4 CLAAS KGaA mbH
      • 14.3.4.1 Company Overview
      • 14.3.4.2 Product Portfolio
    • 14.3.5 CropMetrics LLC (CropX inc.)
      • 14.3.5.1 Company Overview
      • 14.3.5.2 Product Portfolio
    • 14.3.6 Deere & Company
      • 14.3.6.1 Company Overview
      • 14.3.6.2 Product Portfolio
      • 14.3.6.3 Financials
      • 14.3.6.4 SWOT Analysis
    • 14.3.7 DICKEY-john
      • 14.3.7.1 Company Overview
      • 14.3.7.2 Product Portfolio
    • 14.3.8 Farmers Edge Inc.
      • 14.3.8.1 Company Overview
      • 14.3.8.2 Product Portfolio
      • 14.3.8.3 Financials
    • 14.3.9 Gamaya
      • 14.3.9.1 Company Overview
      • 14.3.9.2 Product Portfolio
    • 14.3.10 Granular Inc. (Corteva Inc.)
      • 14.3.10.1 Company Overview
      • 14.3.10.2 Product Portfolio
    • 14.3.11 Raven Industries Inc. (CNH Industrial N.V.)
      • 14.3.11.1 Company Overview
      • 14.3.11.2 Product Portfolio
    • 14.3.12 Trimble Inc.
      • 14.3.12.1 Company Overview
      • 14.3.12.2 Product Portfolio
      • 14.3.12.3 Financials
      • 14.3.12.4 SWOT Analysis

List of Figures

  • Figure 1: Global: Smart Agriculture Market: Major Drivers and Challenges
  • Figure 2: Global: Smart Agriculture Market: Sales Value (in Billion USD), 2019-2024
  • Figure 3: Global: Smart Agriculture Market Forecast: Sales Value (in Billion USD), 2025-2033
  • Figure 4: Global: Smart Agriculture Market: Breakup by Agriculture Type (in %), 2024
  • Figure 5: Global: Smart Agriculture Market: Breakup by Offering (in %), 2024
  • Figure 6: Global: Smart Agriculture Market: Breakup by Farm Size (in %), 2024
  • Figure 7: Global: Smart Agriculture Market: Breakup by Region (in %), 2024
  • Figure 8: Global: Smart Agriculture (Precision Farming) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 9: Global: Smart Agriculture (Precision Farming) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 10: Global: Smart Agriculture (Livestock Monitoring) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 11: Global: Smart Agriculture (Livestock Monitoring) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 12: Global: Smart Agriculture (Smart Greenhouse) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 13: Global: Smart Agriculture (Smart Greenhouse) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 14: Global: Smart Agriculture (Other Agriculture Types) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 15: Global: Smart Agriculture (Other Agriculture Types) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 16: Global: Smart Agriculture (Hardware) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 17: Global: Smart Agriculture (Hardware) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 18: Global: Smart Agriculture (Software) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 19: Global: Smart Agriculture (Software) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 20: Global: Smart Agriculture (Service) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 21: Global: Smart Agriculture (Service) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 22: Global: Smart Agriculture (Small) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 23: Global: Smart Agriculture (Small) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 24: Global: Smart Agriculture (Medium) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 25: Global: Smart Agriculture (Medium) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 26: Global: Smart Agriculture (Large) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 27: Global: Smart Agriculture (Large) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 28: North America: Smart Agriculture Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 29: North America: Smart Agriculture Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 30: United States: Smart Agriculture Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 31: United States: Smart Agriculture Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 32: Canada: Smart Agriculture Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 33: Canada: Smart Agriculture Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 34: Asia-Pacific: Smart Agriculture Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 35: Asia-Pacific: Smart Agriculture Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 36: China: Smart Agriculture Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 37: China: Smart Agriculture Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 38: Japan: Smart Agriculture Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 39: Japan: Smart Agriculture Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 40: India: Smart Agriculture Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 41: India: Smart Agriculture Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 42: South Korea: Smart Agriculture Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 43: South Korea: Smart Agriculture Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 44: Australia: Smart Agriculture Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 45: Australia: Smart Agriculture Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 46: Indonesia: Smart Agriculture Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 47: Indonesia: Smart Agriculture Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 48: Others: Smart Agriculture Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 49: Others: Smart Agriculture Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 50: Europe: Smart Agriculture Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 51: Europe: Smart Agriculture Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 52: Germany: Smart Agriculture Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 53: Germany: Smart Agriculture Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 54: France: Smart Agriculture Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 55: France: Smart Agriculture Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 56: United Kingdom: Smart Agriculture Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 57: United Kingdom: Smart Agriculture Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 58: Italy: Smart Agriculture Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 59: Italy: Smart Agriculture Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 60: Spain: Smart Agriculture Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 61: Spain: Smart Agriculture Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 62: Russia: Smart Agriculture Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 63: Russia: Smart Agriculture Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 64: Others: Smart Agriculture Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 65: Others: Smart Agriculture Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 66: Latin America: Smart Agriculture Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 67: Latin America: Smart Agriculture Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 68: Brazil: Smart Agriculture Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 69: Brazil: Smart Agriculture Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 70: Mexico: Smart Agriculture Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 71: Mexico: Smart Agriculture Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 72: Others: Smart Agriculture Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 73: Others: Smart Agriculture Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 74: Middle East and Africa: Smart Agriculture Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 75: Middle East and Africa: Smart Agriculture Market: Breakup by Country (in %), 2024
  • Figure 76: Middle East and Africa: Smart Agriculture Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 77: Global: Smart Agriculture Industry: SWOT Analysis
  • Figure 78: Global: Smart Agriculture Industry: Value Chain Analysis
  • Figure 79: Global: Smart Agriculture Industry: Porter's Five Forces Analysis

List of Tables

  • Table 1: Global: Smart Agriculture Market: Key Industry Highlights, 2024 and 2033
  • Table 2: Global: Smart Agriculture Market Forecast: Breakup by Agriculture Type (in Million USD), 2025-2033
  • Table 3: Global: Smart Agriculture Market Forecast: Breakup by Offering (in Million USD), 2025-2033
  • Table 4: Global: Smart Agriculture Market Forecast: Breakup by Farm Size (in Million USD), 2025-2033
  • Table 5: Global: Smart Agriculture Market Forecast: Breakup by Region (in Million USD), 2025-2033
  • Table 6: Global: Smart Agriculture Market: Competitive Structure
  • Table 7: Global: Smart Agriculture Market: Key Players