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市場調查報告書
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1833592

2032 年智慧農業市場預測:按產品、農場類型、技術、應用和地區分類的全球分析

Smart Farming Market Forecasts to 2032 - Global Analysis By Offering (Hardware, Software and Services), Farm Type (Large-Scale Farms, Mid-Sized Farms, and Small-Scale Farms), Technology, Application 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 的數據,全球智慧農業市場預計在 2025 年達到 240.5 億美元,到 2032 年將達到 528.5 億美元,預測期內的複合年成長率為 11.9%。

智慧農業利用物聯網、人工智慧、無人機、感測器和數據分析等數位技術來最佳化農場運作。它能夠增強產量預測、資源效率和即時監控,將傳統農業轉變為數據主導企業。在提高生產力的同時盡量減少環境影響的壓力日益增大,加上全球糧食安全擔憂,智慧農業的應用正在加速。政府支持農業數位化的舉措以及對農業新興企業創業投資的增加,使智慧農業市場受益匪淺,使其成為未來農業體系的重要支柱。

根據Statista預測,到2024年,全球超過50%的農民將採用至少一種智慧農業技術,全球農業技術投資將達到160億美元。

對永續農業的需求不斷增加

消費者意識的提升和嚴格的環境法規正給農業帶來壓力,迫使其最佳化用水、減少化肥使用並降低整體碳排放。精準灌溉和數據主導的資源管理等智慧技術能夠精準施肥,減少廢棄物和環境影響,從而直接滿足這些需求。這種與全球永續性目標的契合確保了持續的投資和應用,從根本上重塑了現代農業實踐,以實現更資源安全的未來。

農民缺乏技術專業知識

智慧農業廣泛應用的一大障礙是全球農業領域普遍存在的技術技能差距。許多農民,尤其是開發中地區的農民和老年人農民,缺乏操作複雜數位平台、物聯網設備和數據分析軟體的培訓。這種知識的匱乏導致他們焦慮不安、系統使用不當以及不願投資先進技術。由此產生的複雜性認知阻礙了市場滲透,因此迫切需要全面的培訓計劃和更直覺、更人性化的解決方案來彌合這一數位落差。

精密農業人工智慧和物聯網的進步

人工智慧 (AI) 和物聯網 (IoT) 的快速發展為市場擴張創造了前所未有的機會。這些技術構成了精密農業的支柱,人工智慧演算法分析來自感測器和無人機的大量資料集,為作物健康、病蟲害預測和產量最佳化提供切實可行的洞察。這實現了局部決策、任務自動化,並最大限度地提高每公頃土地的產量。這些技術的不斷發展有望提高效率,並為農業技術公司開闢新的收益來源,顯著提高農場的生產力和盈利。

互聯農業系統中的網路安全風險

隨著農場互聯互通程度的提高,網路安全漏洞帶來的威脅也日益加劇。聯網灌溉系統、自動駕駛曳引機和集中式資料平台都可能成為勒索軟體、資料竊取和惡意控制的目標,從而擾亂整個農場的運作。一次成功的攻擊可能會因停產和資料損壞而造成毀滅性的經濟損失,並削弱農民對數位解決方案的信任。此類風險需要強大的安全通訊協定,如果技術提供者不主動應對,可能會阻礙市場成長。

COVID-19的影響:

疫情最初擾亂了智慧農業市場,導致供應鏈瓶頸、硬體出貨和安裝速度放緩。勞動力短缺也加劇了自動化的迫切性。然而,這場危機最終成為催化劑,倍增了數位化工具的長期應用。農民意識到遠端監控和營運韌性的迫切需求,導致對自主、數據驅動解決方案的需求激增。這種思維轉變加速了市場的演變,將智慧技術納入農業部門面向未來發展的重要組成部分。

預計硬體部分將成為預測期內最大的部分

預計在預測期內,硬體領域將佔據最大的市場佔有率,這得益於對支援數位農業的實體組件的基本需求。這包括感測器、GPS裝置、無人機和自動化機械,這些都是智慧農業運作必不可少的領先資本支出。由於實施尚處於早期階段,對硬體的需求將持續保持高位,尤其是在精密農業技術在全球範圍內持續推廣​​的情況下。此外,在堅固耐用、經濟高效的設備上持續創新,將使硬體領域保持最大的市場佔有率,成為所有軟體和服務賴以生存的堅實支柱。

預計小型農場市場在預測期內的複合年成長率最高

預計小型農場領域將在預測期內實現最高成長率,這得益於成本效益高且可擴展的解決方案日益普及。雲端基礎SaaS平台和模組化感測器套件等技術的日益普及,正在降低小型企業的進入門檻。各國政府和非政府組織也積極推動小農戶數位化,以改善糧食安全和收入。這種經濟實惠的技術與支援措施的結合,使小農戶能夠有效競爭,從而推動該領域的快速普及和顯著成長。

佔比最大的地區:

預計北美將在預測期內佔據最大的市場佔有率。這一領先地位得益於早期的技術應用、政府對農業技術的大力支持,以及擁有強大投資能力的大型商業主導農業公司。該地區擁有發達的通訊基礎設施,主要市場相關人員正在不斷採用尖端解決方案。此外,農民對永續實踐的高度認知創造了一個易於接受精密農業工具的環境,鞏固了北美作為智慧農業領域主要收益地區的地位。

複合年成長率最高的地區:

預計亞太地區在預測期內的複合年成長率最高。這爆炸性成長的驅動力在於,該地區龐大的人口迫切需要提高產量,加上印度和中國等國政府大力推動現代農業舉措。該地區擁有大量小農戶,他們正在獲得價格實惠、基於行動設備的智慧農業技術。這項尚未開發的潛力,加上對農村互聯互通和農業科技新興企業不斷增加的投資,使亞太地區成為成長最快的市場,並有望實現大幅擴張。

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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
  • 調查方法
    • 資料探勘
    • 數據分析
    • 數據檢驗
    • 研究途徑
  • 研究材料
    • 主要研究資料
    • 次級研究資訊來源
    • 先決條件

第3章市場走勢分析

  • 驅動程式
  • 抑制因素
  • 機會
  • 威脅
  • 技術分析
  • 應用分析
  • 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
  • 買方的議價能力
  • 替代品的威脅
  • 新進入者的威脅
  • 競爭對手之間的競爭

第5章 全球智慧農業市場(按產品)

  • 硬體
    • 自動化和控制系統
    • 感測和監控設備
  • 軟體
    • 本地/基於網路
    • 雲端基礎
  • 服務
    • 整合與部署
    • 支援和維護
    • 託管服務

第6章全球智慧農業市場(按農場類型)

  • 大型農場
  • 中型農場
  • 小型農場

7. 全球智慧農業市場(按技術)

  • 導引技術(GPS/GNSS)
  • 遙感探測與控制
  • 可變速率技術 (VRT)
  • 物聯網 (IoT) 和連接

第8章全球智慧農業市場(按應用)

  • 精密農業
  • 牲畜監測和管理
  • 精準水產養殖
  • 精準林業
  • 智慧溫室管理

第9章全球智慧農業市場(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
    • 其他南美
  • 中東和非洲
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 卡達
    • 南非
    • 其他中東和非洲地區

第10章:重大進展

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

第11章 公司概況

  • Deere & Company(John Deere)
  • CNH Industrial
  • AGCO Corporation
  • Kubota Corporation
  • Trimble Inc.
  • Bayer AG(Crop Science)
  • Corteva Agriscience
  • Syngenta Group
  • BASF SE
  • Yara International
  • Nutrien Ltd.
  • Netafim(part of Orbia)
  • Valmont Industries(Valley Irrigation)
  • DJI(SZ DJI Technology Co., Ltd.)
  • Robert Bosch GmbH(Bosch)
  • Lely Group
Product Code: SMRC31425

According to Stratistics MRC, the Global Smart Farming Market is accounted for $24.05 billion in 2025 and is expected to reach $52.85 billion by 2032 growing at a CAGR of 11.9% during the forecast period. Smart farming uses digital technologies such as IoT, AI, drones, sensors, and data analytics to optimize agricultural operations. It enhances yield prediction, resource efficiency, and real-time monitoring, transforming traditional farming into data-driven enterprises. Growing pressures for higher productivity with minimal environmental impact, coupled with global food security concerns, are accelerating adoption. The market benefits from government initiatives supporting agri-digitalization and rising venture capital in agri-tech startups, making smart farming a key pillar of future agriculture systems.

According to Statista, over 50% of global farmers had adopted at least one smart farming technology by 2024, with $16 billion invested in agri-tech globally.

Market Dynamics:

Driver:

Increasing demand for sustainable agriculture practices

Growing consumer awareness and stringent environmental regulations are compelling the industry to optimize water usage, minimize chemical fertilizers, and reduce its overall carbon footprint. Smart technologies like precision irrigation and data-driven resource management directly address these needs by enabling targeted application, which cuts waste and environmental impact. This alignment with global sustainability goals ensures continued investment and adoption, fundamentally reshaping modern agricultural practices for a more resource-secure future.

Restraint:

Limited technical expertise among farmers

A significant barrier to widespread smart farming adoption is the prevalent technical skills gap among the global farming community. Many farmers, particularly in developing regions and older demographics, lack the training to operate complex digital platforms, IoT devices, and data analytics software. This knowledge deficit leads to apprehension, improper system utilization, and reluctance to invest in advanced technologies. Consequently, the high perceived complexity slows market penetration, creating a pressing need for comprehensive training programs and more intuitive, user-friendly solutions to bridge this digital divide.

Opportunity:

Advancements in AI and IoT for precision farming

Breakthroughs in Artificial Intelligence (AI) and the Internet of Things (IoT) are creating unprecedented opportunities for market expansion. These technologies form the backbone of precision farming, with AI algorithms analyzing vast datasets from sensors and drones to provide actionable insights on crop health, pest prediction, and yield optimization. This enables hyper-localized decision-making, automating tasks and maximizing output from every hectare. The continuous evolution of these technologies promises even greater efficiencies, opening new revenue streams for agri-tech firms and significantly boosting farm productivity and profitability.

Threat:

Cyber security risks in connected farming systems

As farms become more interconnected, they face an escalating threat from cyber security vulnerabilities. Connected irrigation systems, autonomous tractors, and centralized data platforms are potential targets for ransomware, data theft, or malicious control that could disrupt entire operations. A successful attack could lead to catastrophic financial losses from halted production or corrupted data, eroding farmer trust in digital solutions. This looming risk necessitates robust security protocols and could deter adoption, potentially stifling market growth if not addressed proactively by technology providers.

Covid-19 Impact:

The pandemic initially disrupted the smart farming market through supply chain bottlenecks, delaying hardware shipments and installation. Labor shortages also heightened the urgency for automation. However, the crisis ultimately acted as a catalyst, sharply accelerating the long-term adoption of digital tools. Farmers recognized the critical need for remote monitoring and operational resilience, leading to a surge in demand for autonomous and data-driven solutions. This shift in mindset has fast-tracked the market's evolution, embedding smart technologies as essential components for future-proofing the agricultural sector.

The hardware segment is expected to be the largest during the forecast period

The hardware segment is expected to account for the largest market share during the forecast period attributed to the foundational need for physical components to enable digital agriculture. This includes sensors, GPS units, drones, and automated machinery, which represent the essential, upfront capital investment for any smart farming operation. As the initial layer of implementation, hardware demand remains consistently high, especially with the ongoing global rollout of precision agriculture techniques. Furthermore, the continuous innovation in robust and cost-effective devices ensures this segment maintains the largest market share, forming the tangible backbone upon which all software and services rely.

The small-scale farms segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the small-scale farms segment is predicted to witness the highest growth rate driven by the increasing availability of cost-effective, scalable solutions. Technologies such as cloud-based SaaS platforms and modular sensor kits are becoming more accessible, lowering the entry barrier for smaller operations. Governments and NGOs are also actively promoting digitalization among smallholders to enhance food security and income. This convergence of affordable technology and supportive initiatives empowers small-scale farmers to compete effectively, fueling rapid adoption rates and the segment's remarkable projected growth.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share. This leadership is anchored by early technological adoption, strong government support for agri-tech, and the presence of large, commercially-driven farm enterprises with high investment capacity. The region's advanced telecommunications infrastructure and key market players continually introduce cutting-edge solutions. Moreover, high awareness of sustainable practices among farmers creates a receptive environment for precision agriculture tools, consolidating North America's position as the dominant revenue-generating region in the smart farming landscape.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR. This explosive growth is fueled by the pressing need to enhance yields for massive populations, coupled with strong governmental initiatives promoting modern agriculture in countries like India and China. The region contains a vast number of small-scale farmers now gaining access to mobile-based and affordable smart farming technologies. This untapped potential, combined with increasing investments in rural connectivity and agri-tech startups, positions Asia Pacific as the fastest-growing market, poised for significant expansion.

Key players in the market

Some of the key players in Smart Farming Market include Deere & Company (John Deere), CNH Industrial, AGCO Corporation, Kubota Corporation, Trimble Inc., Bayer AG (Crop Science), Corteva Agriscience, Syngenta Group, BASF SE, Yara International, Nutrien Ltd., Netafim (part of Orbia), Valmont Industries (Valley Irrigation), DJI (SZ DJI Technology Co., Ltd.), Robert Bosch GmbH (Bosch), and Lely Group.

Key Developments:

In September 2025, AGCO Corporation a global leader in agricultural machinery and precision ag technology, is showcasing some of the most innovative precision agriculture technology in the industry during its annual Tech Day at the more than century-old Gotz Agrardienst farm in Markt Indersdorf, Germany. The program on September 30 - October 1 spotlights Farmer-First innovations that work throughout the crop cycle and across almost any fleet a farmer owns to help increase yields and boost profitability.

In September 2025, At Expo 2025 Osaka, Japanese farm equipment leader Kubota Corporation introduced a global first: the driverless hydrogen fuel cell tractor. This breakthrough combines automation and green hydrogen technology, signaling a new era of sustainable farming technology. For India, an agricultural economy at the heart of global food security, the innovation opens conversations about climate-smart farming, automation, and the future of rural livelihoods.

In September 2023, Trimble announced a definitive agreement to form a joint venture with AGCO to better serve farmers with factory fit and aftermarket applications in the mixed fleet precision agriculture market. Trimble and AGCO's shared vision is to create a global leader in mixed fleet smart farming and autonomy solutions. In aggregate, Trimble expects approximately $3 billion in value from the transaction from pre-tax cash proceeds, Trimble's 15 percent stake in the joint venture, and the related commercial agreements.

Offerings Covered:

  • Hardware
  • Software
  • Services

Farm Types Covered:

  • Large-Scale Farms
  • Mid-Sized Farms
  • Small-Scale Farms

Technologies Covered:

  • Guidance Technology (GPS/GNSS)
  • Remote Sensing & Control
  • Variable Rate Technology (VRT)
  • Internet of Things (IoT) and Connectivity

Applications Covered:

  • Precision Farming
  • Livestock Monitoring & Management
  • Precision Aquaculture
  • Precision Forestry
  • Smart Greenhouse Management

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 2024, 2025, 2026, 2028, and 2032
  • 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 Technology Analysis
  • 3.7 Application 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 Farming Market, By Offering

  • 5.1 Introduction
  • 5.2 Hardware
    • 5.2.1 Automation and Control Systems
    • 5.2.2 Sensing and Monitoring Devices
  • 5.3 Software
    • 5.3.1 Local/Web-based
    • 5.3.2 Cloud-based
  • 5.4 Services
    • 5.4.1 Integration & Deployment
    • 5.4.2 Support & Maintenance
    • 5.4.3 Managed Services

6 Global Smart Farming Market, By Farm Type

  • 6.1 Introduction
  • 6.2 Large-Scale Farms
  • 6.3 Mid-Sized Farms
  • 6.4 Small-Scale Farms

7 Global Smart Farming Market, By Technology

  • 7.1 Introduction
  • 7.2 Guidance Technology (GPS/GNSS)
  • 7.3 Remote Sensing & Control
  • 7.4 Variable Rate Technology (VRT)
  • 7.5 Internet of Things (IoT) and Connectivity

8 Global Smart Farming Market, By Application

  • 8.1 Introduction
  • 8.2 Precision Farming
  • 8.3 Livestock Monitoring & Management
  • 8.4 Precision Aquaculture
  • 8.5 Precision Forestry
  • 8.6 Smart Greenhouse Management

9 Global Smart Farming Market, By Geography

  • 9.1 Introduction
  • 9.2 North America
    • 9.2.1 US
    • 9.2.2 Canada
    • 9.2.3 Mexico
  • 9.3 Europe
    • 9.3.1 Germany
    • 9.3.2 UK
    • 9.3.3 Italy
    • 9.3.4 France
    • 9.3.5 Spain
    • 9.3.6 Rest of Europe
  • 9.4 Asia Pacific
    • 9.4.1 Japan
    • 9.4.2 China
    • 9.4.3 India
    • 9.4.4 Australia
    • 9.4.5 New Zealand
    • 9.4.6 South Korea
    • 9.4.7 Rest of Asia Pacific
  • 9.5 South America
    • 9.5.1 Argentina
    • 9.5.2 Brazil
    • 9.5.3 Chile
    • 9.5.4 Rest of South America
  • 9.6 Middle East & Africa
    • 9.6.1 Saudi Arabia
    • 9.6.2 UAE
    • 9.6.3 Qatar
    • 9.6.4 South Africa
    • 9.6.5 Rest of Middle East & Africa

10 Key Developments

  • 10.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 10.2 Acquisitions & Mergers
  • 10.3 New Product Launch
  • 10.4 Expansions
  • 10.5 Other Key Strategies

11 Company Profiling

  • 11.1 Deere & Company (John Deere)
  • 11.2 CNH Industrial
  • 11.3 AGCO Corporation
  • 11.4 Kubota Corporation
  • 11.5 Trimble Inc.
  • 11.6 Bayer AG (Crop Science)
  • 11.7 Corteva Agriscience
  • 11.8 Syngenta Group
  • 11.9 BASF SE
  • 11.10 Yara International
  • 11.11 Nutrien Ltd.
  • 11.12 Netafim (part of Orbia)
  • 11.13 Valmont Industries (Valley Irrigation)
  • 11.14 DJI (SZ DJI Technology Co., Ltd.)
  • 11.15 Robert Bosch GmbH (Bosch)
  • 11.16 Lely Group

List of Tables

  • Table 1 Global Smart Farming Market Outlook, By Region (2024-2032) ($MN)
  • Table 2 Global Smart Farming Market Outlook, By Offering (2024-2032) ($MN)
  • Table 3 Global Smart Farming Market Outlook, By Hardware (2024-2032) ($MN)
  • Table 4 Global Smart Farming Market Outlook, By Automation and Control Systems (2024-2032) ($MN)
  • Table 5 Global Smart Farming Market Outlook, By Sensing and Monitoring Devices (2024-2032) ($MN)
  • Table 6 Global Smart Farming Market Outlook, By Software (2024-2032) ($MN)
  • Table 7 Global Smart Farming Market Outlook, By Local/Web-based (2024-2032) ($MN)
  • Table 8 Global Smart Farming Market Outlook, By Cloud-based (2024-2032) ($MN)
  • Table 9 Global Smart Farming Market Outlook, By Services (2024-2032) ($MN)
  • Table 10 Global Smart Farming Market Outlook, By Integration & Deployment (2024-2032) ($MN)
  • Table 11 Global Smart Farming Market Outlook, By Support & Maintenance (2024-2032) ($MN)
  • Table 12 Global Smart Farming Market Outlook, By Managed Services (2024-2032) ($MN)
  • Table 13 Global Smart Farming Market Outlook, By Farm Type (2024-2032) ($MN)
  • Table 14 Global Smart Farming Market Outlook, By Large-Scale Farms (2024-2032) ($MN)
  • Table 15 Global Smart Farming Market Outlook, By Mid-Sized Farms (2024-2032) ($MN)
  • Table 16 Global Smart Farming Market Outlook, By Small-Scale Farms (2024-2032) ($MN)
  • Table 17 Global Smart Farming Market Outlook, By Technology (2024-2032) ($MN)
  • Table 18 Global Smart Farming Market Outlook, By Guidance Technology (GPS/GNSS) (2024-2032) ($MN)
  • Table 19 Global Smart Farming Market Outlook, By Remote Sensing & Control (2024-2032) ($MN)
  • Table 20 Global Smart Farming Market Outlook, By Variable Rate Technology (VRT) (2024-2032) ($MN)
  • Table 21 Global Smart Farming Market Outlook, By Internet of Things (IoT) and Connectivity (2024-2032) ($MN)
  • Table 22 Global Smart Farming Market Outlook, By Application (2024-2032) ($MN)
  • Table 23 Global Smart Farming Market Outlook, By Precision Farming (2024-2032) ($MN)
  • Table 24 Global Smart Farming Market Outlook, By Livestock Monitoring & Management (2024-2032) ($MN)
  • Table 25 Global Smart Farming Market Outlook, By Precision Aquaculture (2024-2032) ($MN)
  • Table 26 Global Smart Farming Market Outlook, By Precision Forestry (2024-2032) ($MN)
  • Table 27 Global Smart Farming Market Outlook, By Smart Greenhouse Management (2024-2032) ($MN)

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