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1818054

2032 年數位農業科技市場預測：按組件、農場規模、部署模式、技術、應用、最終用途和地區進行的全球分析

Digital AgTech Market Forecasts to 2032 - Global Analysis By Component (Hardware, Software, Services and Other Components), Farm, Deployment Model, Technology, Application, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3個工作天內

價格

根據 Stratistics MRC 的數據，全球數位農業科技市場預計在 2025 年達到 77.9 億美元，到 2032 年將達到 155.7 億美元，預測期內的複合年成長率為 10.4%。

數位農業科技是將人工智慧、物聯網、區塊鏈和數據分析等先進數位技術融入整個農業價值鏈，以提高生產力、永續性和決策能力。這涵蓋精密農業工具、自動化設備、地理空間測繪以及監測土壤、天氣和作物健康的智慧感測器。在農場之外，它支援可追溯性、供應鏈透明度和農業商務平台。數位農業科技賦能數據主導農業，最佳化資源利用率，同時提高現代農業系統的盈利與韌性。

根據農業工程 (MDPI, 2025) 的數據，全球農業領域的數位素養和技術應用正在加速發展，超過 65% 的研究報告稱，在採用人工智慧、物聯網和衛星監測系統等數位農業技術工具後，生產力和資源效率得到了顯著提高。

全球人口快速成長與飲食習慣改變

全球人口激增給農業系統帶來了前所未有的壓力，迫使其用更少的資源生產更多的糧食。同時，消費者偏好的不斷變化，包括轉向有機農產品、植物性飲食和可追溯的食物來源，正在加速數位農業技術的普及。精密農業、人工智慧驅動的作物模型和智慧灌溉系統正在廣泛應用，以最佳化產量並減少浪費。隨著糧食安全成為戰略重點，數位農業技術正逐漸成為永續農業轉型的基石。

缺乏數位素養和技術知識

物聯網設備、數據分析平台和基於人工智慧的決策系統的整合複雜性，可能會阻礙小農戶的採用。此外，語言障礙和缺乏在地化支援也進一步阻礙了技術的有效採用。數位工具的普及程度有限以及訓練不足也是一大障礙，尤其是在發展中地區。如果沒有有針對性的教育計畫和使用者友善的介面，農業科技創新的全部潛力可能無法充分發揮，從而減緩市場滲透率和可擴展性。

開發專門的解決方案

企業正在投資針對特定區域的平台，這些平台將土壤條件、氣候變遷和當地農業實踐納入考量。諸如人工智慧驅動的害蟲預測、區塊鏈驅動的供應鏈可追溯性以及基於無人機的作物監測等創新技術均根據特定需求進行客製化。這種專業化不僅提高了營運效率，也為技術供應商開闢了新的收益來源。隨著法律規範不斷發展以支持數位農業，市場有望透過有針對性的創新強勁擴張。

供應商鎖定和缺乏互通性

農民常常發現自己被鎖定在與其他工具不相容的特定軟體或硬體解決方案中，這限制了他們的靈活性並增加了長期成本。這種互通性的缺乏阻礙了協作，並阻礙了整個農業價值鏈的資料共用。如果沒有標準化通訊協定和開放的API，技術孤島的風險就會增加，從而削弱數位農業系統的擴充性和彈性。

COVID-19的影響

新冠疫情既是數位農業科技市場的顛覆者，也是催化劑。供應鏈中斷和勞動力短缺暴露了傳統農業經營的脆弱性。然而，這場危機加速了遠端監控工具、自動化機械和數位農場管理平台的普及。農民越來越依賴衛星圖像、預測分析和行動應用程式來在各種限制條件下保持生產力。

預計軟體領域將成為預測期內最大的領域

軟體領域預計將在預測期內佔據最大的市場佔有率，這得益於其在數據聚合、分析和決策支援方面的核心作用。農場管理系統、預測模型平台和雲端基礎的儀錶板在現代農業中正變得至關重要。這些工具可即時監測作物健康狀況、資源使用和市場趨勢，幫助農民做出明智的決策。軟體解決方案的擴充性和適應性使其在從大型農業企業到小型農場的各種農業環境中都具有吸引力。

精密農業領域預計將在預測期內實現最高的複合年成長率

精密農業領域預計將在預測期內實現最高成長率，這得益於其在提高生產力的同時最大限度地減少環境影響的能力。 GPS導航曳引機、變數施肥系統和頻譜影像處理等技術正在徹底改變田間管理。透過實現精準的現場干預，精密農業可以降低投入成本並提高產量品質。該行業也受益於對人工智慧和機器學習的持續投資，這些技術正被用於改進作物模型和最佳化種植計劃。

比最大的地區

預計亞太地區將在預測期內佔據最大的市場佔有率，這得益於其龐大的農業基礎和日益成長的糧食安全需求。中國、印度和印尼等國家正大力投資智慧農業項目，並得到政府補貼和官民合作關係的支持。該地區人口眾多，農業氣候區多樣，為根據當地需求量身定做的數位解決方案提供了沃土。此外，行動連線和價格實惠的感測器的普及正在加速中小型農場的採用。

複合年成長率最高的地區

預計亞太地區在預測期內將實現最高的複合年成長率，這得益於技術的快速應用和農業新興企業的擴張。無人機監控、人工智慧作物診斷以及區塊鏈供應鏈等創新技術在該地區日益普及。教育計畫和數位素養計畫正在幫助彌合知識差距，有利的政策環境正在鼓勵外國投資，進一步推動數位技術的發展。

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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
  • 最終用戶分析
  • 新興市場
  • COVID-19的影響

第4章 波特五力分析

  • 供應商的議價能力
  • 買方的議價能力
  • 替代品的威脅
  • 新進入者的威脅
  • 競爭對手之間的競爭

5. 全球數位農業科技市場（按組成部分）

  • 硬體
    • 感應器
    • GPS/GNSS 設備
    • 無人機
    • 自動化和控制系統
    • 導引和轉向系統
    • 手持設備顯示器
  • 軟體
    • 農場管理軟體（FMS）
    • 數據分析與人工智慧平台
    • 供應鏈管理軟體
    • 財務管理軟體
    • 雲端部署/本地部署
  • 服務
    • 系統整合及諮詢
    • 資料收集和分析服務
    • 維護和支援服務
    • 連線服務
    • 諮詢服務
  • 其他

6. 全球數位農業科技市場（依農場規模）

  • 大型農場
  • 中小型農場

7. 全球數位農業科技市場（依部署模式）

  • 雲端基礎的解決方案
  • 本地部署
  • 混合模式

8. 全球數位農業科技市場（按技術）

  • 精密農業
  • 物聯網 (IoT)
  • 人工智慧（AI）和機器學習（ML）
  • 巨量資料分析
  • 農業區塊鏈
  • 其他

第9章：全球數位農業科技市場（按應用）

  • 精密農業/農場管理
  • 牲畜監控
  • 供應鏈管理
  • 財務管理
  • 其他

第 10 章：全球數位農業科技市場（依最終用途分類）

  • 行作物
  • 園藝
  • 特色作物
  • 保護性農業
  • 牧場
  • 其他

第 11 章：按地區分類的全球數位農業科技市場

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 義大利
    • 法國
    • 西班牙
    • 其他歐洲國家
  • 亞太地區
    • 日本
    • 中國
    • 印度
    • 澳洲
    • 紐西蘭
    • 韓國
    • 其他亞太地區
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地區
  • 中東和非洲
    • 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12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13章：企業概況

  • Trimble Inc.
  • Taranis
  • Stellapps
  • Solinftec
  • Ninjacart
  • Monarch Tractor
  • John Deere
  • Indigo Ag
  • Fasal
  • FarmLogs
  • FarmERP
  • Ecorobotix SA
  • DeHaat
  • Cropin
  • Cargill
  • Carbon Robotics
  • Bayer AG
  • Agworld
  • AgroStar
  • Aerobotics
Product Code: SMRC31017

According to Stratistics MRC, the Global Digital AgTech Market is accounted for $7.79 billion in 2025 and is expected to reach $15.57 billion by 2032 growing at a CAGR of 10.4% during the forecast period. Digital AgTech is the integration of advanced digital technologies such as AI, IoT, blockchain, and data analytics across the agricultural value chain to enhance productivity, sustainability, and decision-making. It encompasses precision farming tools, automated equipment, geospatial mapping, and smart sensors that monitor soil, weather, and crop health. Beyond the farm, it supports traceability, supply chain transparency, and agri-commerce platforms. Digital AgTech enables data-driven agriculture, optimizing resource use while improving profitability and resilience in modern farming systems

According to AgriEngineering (MDPI, 2025), digital literacy and technology adoption in agriculture are accelerating globally, with over 65% of reviewed studies reporting measurable improvements in productivity and resource efficiency following the implementation of Digital AgTech tools such as AI, IoT, and satellite-based monitoring systems.

Market Dynamics:

Driver:

Rapidly growing global population and changing dietary habits

The escalating global population is placing unprecedented pressure on agricultural systems to produce more food with fewer resources. Simultaneously, evolving consumer preferences such as the shift toward organic produce, plant-based diets, and traceable food sources are accelerating the adoption of digital agriculture technologies. Precision farming, AI-driven crop modeling, and smart irrigation systems are being deployed to optimize yield and reduce waste. As food security becomes a strategic priority, digital AgTech is emerging as a cornerstone of sustainable agricultural transformation.

Restraint:

Lack of digital literacy and technical knowledge

The complexity of integrating IoT devices, data analytics platforms, and AI-based decision systems can deter adoption among smallholder farmers. Moreover, language barriers and lack of localized support further hinder effective implementation especially in developing regions face barriers due to limited exposure to digital tools and insufficient training. Without targeted education programs and user-friendly interfaces, the full potential of AgTech innovations may remain untapped, slowing market penetration and scalability.

Opportunity:

Development of specialized solutions

Companies are investing in region-specific platforms that account for soil conditions, climate variability, and local farming practices. Innovations such as AI-powered pest prediction, blockchain-based supply chain traceability, and drone-assisted crop monitoring are being customized to meet niche requirements. This specialization not only enhances operational efficiency but also opens new revenue streams for technology providers. As regulatory frameworks evolve to support digital agriculture, the market is poised for robust expansion through targeted innovation.

Threat:

Vendor lock-in and lack of interoperability

Farmers often find themselves locked into specific software or hardware solutions that are incompatible with other tools, limiting flexibility and increasing long-term costs. This lack of interoperability stifles collaboration across the agricultural value chain and impedes data sharing. Without standardized protocols and open APIs, the risk of technological silos grows, undermining the scalability and resilience of digital farming systems.

Covid-19 Impact:

The COVID-19 pandemic acted as both a disruptor and a catalyst for the Digital AgTech market. On one hand, supply chain interruptions and labor shortages exposed vulnerabilities in traditional farming operations. On the other, the crisis accelerated the adoption of remote monitoring tools, autonomous machinery, and digital farm management platforms. Farmers increasingly relied on satellite imagery, predictive analytics, and mobile apps to maintain productivity amid restrictions.

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

The software segment is expected to account for the largest market share during the forecast period due to its central role in data aggregation, analytics, and decision support. Farm management systems, predictive modeling platforms, and cloud-based dashboards are becoming indispensable for modern agriculture. These tools enable real-time monitoring of crop health, resource usage, and market trends, empowering farmers to make informed decisions. The scalability and adaptability of software solutions make them attractive across diverse farming contexts, from large-scale agribusinesses to smallholder operations.

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

Over the forecast period, the precision farming segment is predicted to witness the highest growth rate driven by its ability to enhance productivity while minimizing environmental impact. Technologies such as GPS-guided tractors, variable rate application systems, and multispectral imaging are revolutionizing field-level management. By enabling site-specific interventions, precision agriculture reduces input costs and improves yield quality. The segment is also benefiting from increased investment in AI and machine learning, which are being used to refine crop models and optimize planting schedules.

Region with largest share:

During the forecast period, the Asia Pacific region is expected to hold the largest market sharefueled by its vast agricultural base and rising demand for food security. Countries like China, India, and Indonesia are investing heavily in smart farming initiatives, supported by government subsidies and public-private partnerships. The region's large population and diverse agro-climatic zones create a fertile ground for digital solutions tailored to local needs. Additionally, the proliferation of mobile connectivity and affordable sensors is accelerating adoption among small and medium-scale farmers.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR attributed to rapid technological adoption and expanding agritech startups. Innovations in drone-based surveillance, AI-driven crop diagnostics, and blockchain-enabled supply chains are gaining traction across Asia Pacific. Educational initiatives and digital literacy programs are helping bridge the knowledge gap, while favorable policy environments are encouraging foreign investment will further propel the growth of digital technologies.

Key players in the market

Some of the key players in Digital AgTech Market include Trimble Inc., Taranis, Stellapps, Solinftec, Ninjacart, Monarch Tractor, John Deere, Indigo Ag, Fasal, FarmLogs, FarmERP, Ecorobotix SA, DeHaat, Cropin, Cargill, Carbon Robotics, Bayer AG, Agworld, AgroStar and Aerobotics.

Key Developments:

In May 2025, Trimble introduced "Trimble Materials," a solution in its Construction One suite that spans purchasing, inventory, and accounts payable-intended to help contractors gain control of material costs. It connects field, office, warehouse teams and suppliers for centralized tracking of material orders, inventory, and invoices.

In January 2025, Deere unveiled several machines including an autonomous 9RX tractor, a 5ML orchard sprayer, an articulated dump truck, and an electric mower using its second-generation autonomy kit with more sensors, AI, vision, etc. These models span agriculture, construction, and landscaping, aiming to address labor shortages and increase efficiency via automation.

Components Covered:

  • Hardware
  • Software
  • Services
  • Other Components

Farms Covered:

  • Large Farms
  • Small & Medium-Sized Farms

Deployment Models Covered:

  • Cloud-based Solutions
  • On-Premises
  • Hybrid Models

Technologies Covered:

  • Precision Farming
  • IoT (Internet of Things)
  • Artificial Intelligence (AI) & Machine Learning (ML)
  • Big Data Analytics
  • Blockchain for Agriculture
  • Other Technologies

Applications Covered:

  • Precision Farming & Farm Management
  • Livestock Monitoring
  • Supply Chain Management
  • Financial Management
  • Other Applications

End Users Covered:

  • Row crops
  • Horticulture
  • Specialty Crops
  • Protected Agriculture
  • Pasture
  • Other End Users

Regions Covered:

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

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 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 End User Analysis
  • 3.9 Emerging Markets
  • 3.10 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 Digital AgTech Market, By Component

  • 5.1 Introduction
  • 5.2 Hardware
    • 5.2.1 Sensors
    • 5.2.2 GPS/GNSS Devices
    • 5.2.3 Drones
    • 5.2.4 Automation & Control Systems
    • 5.2.5 Guidance & Steering Systems
    • 5.2.6 Handheld Devices & Displays
  • 5.3 Software
    • 5.3.1 Farm Management Software (FMS)
    • 5.3.2 Data Analytics & AI Platforms
    • 5.3.3 Supply Chain Management Software
    • 5.3.4 Financial Management Software
    • 5.3.5 On-Cloud vs. On-Premise Deployment
  • 5.4 Services
    • 5.4.1 System Integration & Consulting
    • 5.4.2 Data Collection & Analytical Services
    • 5.4.3 Maintenance & Support Services
    • 5.4.4 Connectivity Services
    • 5.4.5 Advisory Services
  • 5.5 Other Components

6 Global Digital AgTech Market, By Farm

  • 6.1 Introduction
  • 6.2 Large Farms
  • 6.3 Small & Medium-Sized Farms

7 Global Digital AgTech Market, By Deployment Model

  • 7.1 Introduction
  • 7.2 Cloud-based Solutions
  • 7.3 On-Premises
  • 7.4 Hybrid Models

8 Global Digital AgTech Market, By Technology

  • 8.1 Introduction
  • 8.2 Precision Farming
  • 8.3 IoT (Internet of Things)
  • 8.4 Artificial Intelligence (AI) & Machine Learning (ML)
  • 8.5 Big Data Analytics
  • 8.6 Blockchain for Agriculture
  • 8.7 Other Technologies

9 Global Digital AgTech Market, By Application

  • 9.1 Introduction
  • 9.2 Precision Farming & Farm Management
  • 9.3 Livestock Monitoring
  • 9.4 Supply Chain Management
  • 9.5 Financial Management
  • 9.6 Other Applications

10 Global Digital AgTech Market, By End User

  • 10.1 Introduction
  • 10.2 Row crops
  • 10.3 Horticulture
  • 10.4 Specialty Crops
  • 10.5 Protected Agriculture
  • 10.6 Pasture
  • 10.7 Other End Users

11 Global Digital AgTech Market, By Geography

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

12 Key Developments

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

13 Company Profiling

  • 13.1 Trimble Inc.
  • 13.2 Taranis
  • 13.3 Stellapps
  • 13.4 Solinftec
  • 13.5 Ninjacart
  • 13.6 Monarch Tractor
  • 13.7 John Deere
  • 13.8 Indigo Ag
  • 13.9 Fasal
  • 13.10 FarmLogs
  • 13.11 FarmERP
  • 13.12 Ecorobotix SA
  • 13.13 DeHaat
  • 13.14 Cropin
  • 13.15 Cargill
  • 13.16 Carbon Robotics
  • 13.17 Bayer AG
  • 13.18 Agworld
  • 13.19 AgroStar
  • 13.20 Aerobotics

List of Tables

  • Table 1 Global Digital AgTech Market Outlook, By Region (2024-2032) ($MN)
  • Table 2 Global Digital AgTech Market Outlook, By Component (2024-2032) ($MN)
  • Table 3 Global Digital AgTech Market Outlook, By Hardware (2024-2032) ($MN)
  • Table 4 Global Digital AgTech Market Outlook, By Sensors (2024-2032) ($MN)
  • Table 5 Global Digital AgTech Market Outlook, By GPS/GNSS Devices (2024-2032) ($MN)
  • Table 6 Global Digital AgTech Market Outlook, By Drones (2024-2032) ($MN)
  • Table 7 Global Digital AgTech Market Outlook, By Automation & Control Systems (2024-2032) ($MN)
  • Table 8 Global Digital AgTech Market Outlook, By Guidance & Steering Systems (2024-2032) ($MN)
  • Table 9 Global Digital AgTech Market Outlook, By Handheld Devices & Displays (2024-2032) ($MN)
  • Table 10 Global Digital AgTech Market Outlook, By Software (2024-2032) ($MN)
  • Table 11 Global Digital AgTech Market Outlook, By Farm Management Software (FMS) (2024-2032) ($MN)
  • Table 12 Global Digital AgTech Market Outlook, By Data Analytics & AI Platforms (2024-2032) ($MN)
  • Table 13 Global Digital AgTech Market Outlook, By Supply Chain Management Software (2024-2032) ($MN)
  • Table 14 Global Digital AgTech Market Outlook, By Financial Management Software (2024-2032) ($MN)
  • Table 15 Global Digital AgTech Market Outlook, By On-Cloud vs. On-Premise Deployment (2024-2032) ($MN)
  • Table 16 Global Digital AgTech Market Outlook, By Services (2024-2032) ($MN)
  • Table 17 Global Digital AgTech Market Outlook, By System Integration & Consulting (2024-2032) ($MN)
  • Table 18 Global Digital AgTech Market Outlook, By Data Collection & Analytical Services (2024-2032) ($MN)
  • Table 19 Global Digital AgTech Market Outlook, By Maintenance & Support Services (2024-2032) ($MN)
  • Table 20 Global Digital AgTech Market Outlook, By Connectivity Services (2024-2032) ($MN)
  • Table 21 Global Digital AgTech Market Outlook, By Advisory Services (2024-2032) ($MN)
  • Table 22 Global Digital AgTech Market Outlook, By Other Components (2024-2032) ($MN)
  • Table 23 Global Digital AgTech Market Outlook, By Farm (2024-2032) ($MN)
  • Table 24 Global Digital AgTech Market Outlook, By Large Farms (2024-2032) ($MN)
  • Table 25 Global Digital AgTech Market Outlook, By Small & Medium-Sized Farms (2024-2032) ($MN)
  • Table 26 Global Digital AgTech Market Outlook, By Deployment Model (2024-2032) ($MN)
  • Table 27 Global Digital AgTech Market Outlook, By Cloud-based Solutions (2024-2032) ($MN)
  • Table 28 Global Digital AgTech Market Outlook, By On-Premises (2024-2032) ($MN)
  • Table 29 Global Digital AgTech Market Outlook, By Hybrid Models (2024-2032) ($MN)
  • Table 30 Global Digital AgTech Market Outlook, By Technology (2024-2032) ($MN)
  • Table 31 Global Digital AgTech Market Outlook, By Precision Farming (2024-2032) ($MN)
  • Table 32 Global Digital AgTech Market Outlook, By IoT (Internet of Things) (2024-2032) ($MN)
  • Table 33 Global Digital AgTech Market Outlook, By Artificial Intelligence (AI) & Machine Learning (ML) (2024-2032) ($MN)
  • Table 34 Global Digital AgTech Market Outlook, By Big Data Analytics (2024-2032) ($MN)
  • Table 35 Global Digital AgTech Market Outlook, By Blockchain for Agriculture (2024-2032) ($MN)
  • Table 36 Global Digital AgTech Market Outlook, By Other Technologies (2024-2032) ($MN)
  • Table 37 Global Digital AgTech Market Outlook, By Application (2024-2032) ($MN)
  • Table 38 Global Digital AgTech Market Outlook, By Precision Farming & Farm Management (2024-2032) ($MN)
  • Table 39 Global Digital AgTech Market Outlook, By Livestock Monitoring (2024-2032) ($MN)
  • Table 40 Global Digital AgTech Market Outlook, By Supply Chain Management (2024-2032) ($MN)
  • Table 41 Global Digital AgTech Market Outlook, By Financial Management (2024-2032) ($MN)
  • Table 42 Global Digital AgTech Market Outlook, By Other Applications (2024-2032) ($MN)
  • Table 43 Global Digital AgTech Market Outlook, By End User (2024-2032) ($MN)
  • Table 44 Global Digital AgTech Market Outlook, By Row crops (2024-2032) ($MN)
  • Table 45 Global Digital AgTech Market Outlook, By Horticulture (2024-2032) ($MN)
  • Table 46 Global Digital AgTech Market Outlook, By Specialty Crops (2024-2032) ($MN)
  • Table 47 Global Digital AgTech Market Outlook, By Protected Agriculture (2024-2032) ($MN)
  • Table 48 Global Digital AgTech Market Outlook, By Pasture (2024-2032) ($MN)
  • Table 49 Global Digital AgTech Market Outlook, By Other End Users (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.