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市场调查报告书
商品编码
1818054

2032 年数位农业科技市场预测：按组件、农场规模、部署模式、技术、应用、最终用途和地区进行的全球分析

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个工作天内

价格

根据 Stratistics MRC 的数据，全球数位农业科技市场预计在 2025 年达到 77.9 亿美元，到 2032 年将达到 155.7 亿美元，预测期内的复合年增长率为 10.4%。

数位农业科技是将人工智慧、物联网、区块链和数据分析等先进数位技术融入整个农业价值链，以提高生产力、永续性和决策能力。这涵盖精密农业工具、自动化设备、地理空间测绘以及监测土壤、天气和作物健康的智慧感测器。在农场之外，它支援可追溯性、供应链透明度和农业商务平台。数位农业科技赋能数据主导农业，优化资源利用率，同时提高现代农业系统的盈利与韧性。

根据农业工程 (MDPI, 2025) 的数据，全球农业领域的数位素养和技术应用正在加速发展，超过 65% 的研究报告称，在采用人工智慧、物联网和卫星监测系统等数位农业技术工具后，生产力和资源效率得到了显着提高。

全球人口快速成长与饮食习惯改变

全球人口激增给农业系统带来了前所未有的压力，迫使其用更少的资源生产更多的粮食。同时，消费者偏好的不断变化，包括转向有机农产品、植物性饮食和可追溯的食物来源，正在加速数位农业技术的普及。精密农业、人工智慧驱动的作物模型和智慧灌溉系统正在广泛应用，以优化产量并减少浪费。随着粮食安全成为战略重点，数位农业技术正逐渐成为永续农业转型的基石。

缺乏数位素养和技术知识

物联网设备、数据分析平台和基于人工智慧的决策系统的整合复杂性，可能会阻碍小农户的采用。此外，语言障碍和缺乏在地化支援也进一步阻碍了技术的有效采用。数位工具的普及程度有限以及训练不足也是一大障碍，尤其是在发展中地区。如果没有有针对性的教育计画和使用者友善的介面，农业科技创新的全部潜力可能无法充分发挥，从而减缓市场渗透率和可扩展性。

开发专门的解决方案

企业正在投资针对特定区域的平台，这些平台将土壤条件、气候变迁和当地农业实践纳入考量。诸如人工智慧驱动的害虫预测、区块链驱动的供应链可追溯性以及基于无人机的作物监测等创新技术均根据特定需求进行客製化。这种专业化不仅提高了营运效率，也为技术供应商开闢了新的收益来源。随着法律规范不断发展以支持数位农业，市场有望透过有针对性的创新强劲扩张。

供应商锁定和缺乏互通性

农民常常发现自己被锁定在与其他工具不相容的特定软体或硬体解决方案中，这限制了他们的灵活性并增加了长期成本。这种互通性的缺乏阻碍了协作，并阻碍了整个农业价值链的资料共用。如果没有标准化通讯协定和开放的API，技术孤岛的风险就会增加，从而削弱数位农业系统的扩充性和弹性。

COVID-19的影响

新冠疫情既是数位农业科技市场的颠覆者，也是催化剂。供应链中断和劳动力短缺暴露了传统农业经营的脆弱性。然而，这场危机加速了远端监控工具、自动化机械和数位农场管理平台的普及。农民越来越依赖卫星图像、预测分析和行动应用程式来在各种限制条件下保持生产力。

预计软体领域将成为预测期内最大的领域

软体领域预计将在预测期内占据最大的市场份额，这得益于其在数据聚合、分析和决策支援方面的核心作用。农场管理系统、预测模型平台和云端基础的仪錶板在现代农业中正变得至关重要。这些工具可即时监测作物健康状况、资源使用和市场趋势，帮助农民做出明智的决策。软体解决方案的扩充性和适应性使其在从大型农业企业到小型农场的各种农业环境中都具有吸引力。

精密农业领域预计将在预测期内实现最高的复合年增长率

精密农业领域预计将在预测期内实现最高成长率，这得益于其在提高生产力的同时最大限度地减少环境影响的能力。 GPS导航拖拉机、变数施肥系统和频谱影像处理等技术正在彻底改变田间管理。透过实现精准的现场干预，精密农业可以降低投入成本并提高产量品质。该行业也受益于对人工智慧和机器学习的持续投资，这些技术正被用于改进作物模型和优化种植计划。

比最大的地区

预计亚太地区将在预测期内占据最大的市场份额，这得益于其庞大的农业基础和日益增长的粮食安全需求。中国、印度和印尼等国家正大力投资智慧农业项目，并得到政府补贴和官民合作关係的支持。该地区人口众多，农业气候区多样，为根据当地需求量身定制的数位解决方案提供了沃土。此外，行动连线和价格实惠的传感器的普及正在加速中小型农场的采用。

复合年增长率最高的地区

预计亚太地区在预测期内将实现最高的复合年增长率，这得益于技术的快速应用和农业新兴企业的扩张。无人机监控、人工智慧作物诊断以及区块链供应链等创新技术在该地区日益普及。教育计画和数位素养计画正在帮助弥合知识差距，有利的政策环境正在鼓励外国投资，进一步推动数位技术的发展。

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目录

第一章执行摘要

第二章 前言

  • 概述
  • 相关利益者
  • 调查范围
  • 调查方法
    • 资料探勘
    • 数据分析
    • 数据检验
    • 研究途径
  • 研究材料
    • 主要研究资料
    • 次级研究资讯来源
    • 先决条件

第三章市场走势分析

  • 驱动程式
  • 抑制因素
  • 机会
  • 威胁
  • 技术分析
  • 应用分析
  • 最终用户分析
  • 新兴市场
  • COVID-19的影响

第四章 波特五力分析

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

5. 全球数位农业科技市场（按组成部分）

  • 硬体
    • 感应器
    • GPS/GNSS 设备
    • 无人机
    • 自动化和控制系统
    • 导引和转向系统
    • 手持设备显示器
  • 软体
    • 农场管理软体（FMS）
    • 数据分析与人工智慧平台
    • 供应链管理软体
    • 财务管理软体
    • 云端部署/本地部署
  • 服务
    • 系统整合及咨询
    • 资料收集和分析服务
    • 维护和支援服务
    • 连线服务
    • 咨询服务
  • 其他的

6. 全球数位农业科技市场（依农场规模）

  • 大型农场
  • 中小型农场

7. 全球数位农业科技市场（依部署模式）

  • 云端基础的解决方案
  • 本地部署
  • 混合模式

8. 全球数位农业科技市场（按技术）

  • 精密农业
  • 物联网 (IoT)
  • 人工智慧（AI）和机器学习（ML）
  • 巨量资料分析
  • 农业区块链
  • 其他的

第九章：全球数位农业科技市场（按应用）

  • 精密农业/农场管理
  • 牲畜监控
  • 供应链管理
  • 财务管理
  • 其他的

第 10 章：全球数位农业科技市场（依最终用途划分）

  • 行作物
  • 园艺
  • 特色作物
  • 保护性农业
  • 牧场
  • 其他的

第 11 章：按地区分類的全球数位农业科技市场

  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 义大利
    • 法国
    • 西班牙
    • 其他欧洲国家
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 澳洲
    • 纽西兰
    • 韩国
    • 其他亚太地区
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地区
  • 中东和非洲
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 卡达
    • 南非
    • 其他中东和非洲地区

第十二章 重大进展

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

第十三章：企业概况

  • 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.