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市场调查报告书
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1836400

农业数据分析市场预测至 2032 年：按组件、部署模式、农场规模、技术、应用和地区进行的全球分析

Agricultural Data Analytics Market Forecasts to 2032 - Global Analysis By Component (Solutions and Services), Deployment Mode (Cloud-based, and On-Premises), Farm Size, 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个工作天内

价格

根据 Stratistics MRC 的数据，全球农业数据分析市场预计在 2025 年达到 75 亿美元，到 2032 年将达到 206 亿美元，预测期内的复合年增长率为 15.6%。

农业数据分析市场利用巨量资料、物联网设备、人工智慧和预测分析来优化农业营运和决策。透过分析天气模式、土壤健康状况、作物生长和供应链指标，农民可以实现精密农业，提高产量并减少资源浪费。数位化农业解决方案的普及、政府推动的智慧农业倡议以及对永续实践日益增长的需求推动了这一市场的成长。该市场已成为现代农业的关键，它能够为整个农业生态系统提供切实可行的洞察、提高生产力并进行风险管理。

采用精密农业

随着农民追求更高的产量和更低的投入成本，精密农业正从试点计划走向主流应用。将卫星和无人机影像与田间感测器和机器学习相结合，种植者可以仅在需要的地方施用水、肥料和作物保护剂，从而提高资源效率和净利率。此外，农艺模型和分析平台将原始数据转化为清晰、可操作的种植、灌溉计划和收穫时间建议。这些实际优势，加上降低技术门槛的服务模式，正在推动精准农业在商业农场和先进的小规模经营中迅速普及，支持全球长期永续性目标。

开发中地区的技术基础设施有限

宽频连接不佳、电力供应不稳定以及当地技术技能的缺乏，使得大规模部署感测器、边缘设备和云端基础平台变得困难。此外，所拥有土地分散和资料利用不规范，降低了供应商自行建构解决方案的商业性奖励。此外，高昂的前期成本和小农户资金筹措选择有限，也阻碍了技术的采用。弥补这些差距需要公私合作、投资、培训计画和低成本的技术改造。政策支持和农村互联互通计划可以弥补差距，并加速小农户的采用。

开发经济实惠的分析解决方案

低成本感测器、简化的使用者介面和订阅定价的设计，使供应商能够服务于资源受限的农场，同时保持可行的经营模式。此外，开放资料标准和模组化平台降低了整合成本，并允许本地服务供应商客製化其产品。获得公共补贴和混合融资也降低了初始采购的风险，与合作社和投入品供应商的伙伴关係建立了分销管道。这可以使洞察力更加民主化，提高收入，并增强当地农场层面的韧性。

网路安全风险

网路安全风险对农业资料分析的采用和信任构成了重大威胁。农场越来越依赖连网感测器、远端资讯处理和云端平台来收集敏感的营运和商业数据，这些数据一旦被洩露或篡改，可能会扰乱营运或洩露竞争资讯。此外，第三方设备安全性薄弱以及小农户的认知度有限，加剧了这些漏洞。此外，监管审查和数据滥用的潜在责任也带来了商业性不确定性。

COVID-19的影响：

新冠疫情揭露了劳动力供应链和分销环节的脆弱性，加速了人们对数位农业工具的兴趣。远端监控和分析使一些作业即使在行动受限的情况下也能保持高效，买家也越来越要求可追溯性和供应链可视性。然而，资金流中断和计划延误减缓了数位化农业工具的采用，尤其是在小农户群体中。整体而言，这场危机凸显了分析的价值，同时也带来了短期资金筹措和应用的挑战。 2021年及以后的经济復苏支撑了投资的復苏。

解决方案（软体平台）部分预计将成为预测期内最大的部分

预计解决方案（软体平台）细分市场将在预测期内占据最大市场份额。这是因为平台支援多种用例，例如作物健康监测、产量预测、投入优化和合规性报告，从而吸引了包括种植者、顾问和农业相关企业在内的广泛客户群。此外，订阅模式为供应商提供了稳定的收益来源并资助持续改进，而API和合作伙伴生态系统则增强了客户黏着度。与设备製造商和投入品供应商的互通性进一步提升了平台的价值，使软体解决方案自然成为投资和市场拓展的重点，从而简化了监管合规工作流程。

预计在预测期内，中小型农场部门的复合年增长率最高。

预计中小型农场细分市场将在预测期内实现最高成长率。这些农场无需大量IT投资，即可快速采用感测器套件、行动咨询服务和轻量级仪錶板。此外，定向贷款产品和捐助方支持的数位农业计画正在降低收购成本，而P2P知识共用正在扩大成功案例。小型机械製造商正在整合远端资讯处理技术，并利用其进行分析，从而创造即时价值。因此，这些多重推动因素正在推动该细分市场在大规模农业转型之前的成长，吸引投资者专注于本地的投资。

占比最大的地区：

预计北美将在预测期内占据最大的市场份额。这得归功于其成熟的精密农业生态系统、日益增长的机械化程度以及有利于分析部署的农场整合。大型商业农场和相关企业拥有投资感测器、远端资讯处理和平台订阅的资本和规模，而强大的宽频和云端基础设施则能够提供可靠的服务。此外，积极的风险投资、原始设备製造商 (OEM)伙伴关係以及成熟的经销商网路正在加速商业化进程。监管部门对可追溯性和永续性报告的推动将进一步增加对分析解决方案的需求。这些结构性因素共同支撑了北美在预测期内的主导地位。

复合年增长率最高的地区：

随着技术创新和不断发展的经营模式不断拓展新的客户群，预计北美将在预测期内实现最高的复合年增长率。云端服务、边缘运算和进阶分析技术使中小型企业能够以经济实惠的方式采用解决方案。成长的动力来自对农业科技新兴企业的投资、中型机械远端资讯处理的扩展以及对永续性和碳计量日益增长的需求。此外，作物保险分析和精准投入市场等附加价值服务的扩展正在创造新的收益来源，推动市场实现快速的逐年扩张。

免费客製化服务：

此报告的订阅者可以使用以下免费自订选项之一：

  • 公司简介
    • 全面分析其他市场参与者（最多 3 家公司）
    • 主要企业的SWOT分析（最多3家公司）
  • 区域细分
    • 根据客户兴趣对主要国家进行的市场估计、预测和复合年增长率（註：基于可行性检查）
  • 竞争基准化分析
    • 根据产品系列、地理分布和策略联盟对主要企业基准化分析

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
  • 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. 全球农业数据分析市场（按组成部分）

  • 解决方案（软体平台）
    • 农场管理软体（FMS）
    • 产量监测和预测解决方案
    • 库存管理解决方案
    • 供应链和可追溯性套件
  • 服务
    • 託管服务
    • 专业服务

6. 全球农业资料分析市场（依部署模式）

  • 云端基础
  • 本地部署

7. 全球农业数据分析市场（依农场规模）

  • 大型农场
  • 中小型农场

8. 全球农业数据分析市场（按技术）

  • 核心技术
    • 预测分析
    • 指示性分析
    • 说明分析
  • 实行技术
    • 巨量资料和物联网
    • 人工智慧（AI）和机器学习（ML）
    • 遥感探测和影像
    • 地理资讯系统（GIS）

9. 全球农业数据分析市场（按应用）

  • 农场分析
    • 产量监测
    • 作物健康监测
    • 灌溉管理
    • 字段映射
    • 气象追踪与预报
  • 牲畜分析
    • 健康和行为监测
    • 牛奶收穫管理
    • 饲养管理
  • 水产养殖分析
  • 温室和室内农业分析

第十章全球农业资料分析市场（按地区）

  • 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
    • 其他南美
  • 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

第十一章 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

第十二章 公司概况

  • Deere & Company
  • Trimble Inc.
  • Bayer AG
  • IBM Corporation
  • SAP SE
  • AGCO Corporation
  • Oracle Corporation
  • Microsoft Corporation
  • Accenture plc
  • Farmers Edge Inc.
  • CropX Technologies
  • Taranis
  • Iteris, Inc.
  • PrecisionHawk, Inc.
  • Agrivi Ltd.
  • SAS Institute Inc.
  • Geosys SAS
  • Proagrica Ltd.
  • Conservis Corporation
Product Code: SMRC31524

According to Stratistics MRC, the Global Agricultural Data Analytics Market is accounted for $7.5 billion in 2025 and is expected to reach $20.6 billion by 2032 growing at a CAGR of 15.6% during the forecast period. The agricultural data analytics market leverages big data, IoT devices, AI, and predictive analytics to optimize farming practices and decision-making. By analyzing weather patterns, soil health, crop performance, and supply chain metrics, farmers can achieve precision agriculture, higher yields, and reduced resource wastage. Increasing adoption of digital farming solutions, government initiatives for smart agriculture, and rising demand for sustainable practices are driving growth. The market is becoming crucial for modern agriculture, enabling actionable insights, improved productivity, and risk management across the farming ecosystem globally.

Market Dynamics:

Driver:

Adoption of Precision Farming

Precision agriculture has moved beyond pilot projects into mainstream adoption as farmers seek higher yields and lower input costs. By combining satellite and drone imagery with in-field sensors and machine learning, growers can apply water, fertilizer, and crop protection only where needed, improving resource efficiency and margins. Additionally, agronomic models and analytics platforms translate raw data into clear, actionable recommendations for planting, irrigation scheduling, and harvest timing. These practical benefits, paired with service models that lower technical barriers, are driving rapid uptake across commercial farms and progressive smaller operations and supporting long-term sustainability aims globally.

Restraint:

Limited Technological Infrastructure in Developing Regions

Poor broadband connectivity, unreliable power, and a shortage of local technical skills make it difficult to deploy sensors, edge devices, and cloud-based platforms at scale. Moreover, fragmented landholdings and informal data practices reduce the commercial incentive for vendors to build tailored solutions. Additionally, high upfront costs and limited financing options for smallholders slow adoption. Addressing these gaps requires coordinated public-private investment, training programs, and low-cost technology adaptations. Policy support and rural connectivity projects can bridge divides and accelerate adoption for smallholders.

Opportunity:

Development of Affordable Analytics Solutions

By designing low-cost sensors, simplified user interfaces, and subscription pricing, vendors can serve resource-constrained farms while maintaining viable business models. Furthermore, open data standards and modular platforms lower integration costs and enable local service providers to tailor offerings. Public subsidy programs and blended financing can de-risk initial purchases, and partnerships with cooperatives and input suppliers create distribution channels. It can democratize insights, raise incomes, and strengthen farm-level resilience locally.

Threat:

Cybersecurity Risks

Cybersecurity risks pose a meaningful threat to agricultural data analytics adoption and trust. Farms increasingly rely on connected sensors, telematics, and cloud platforms that collect sensitive operational and commercial data; breaches or manipulation could disrupt operations or expose competitive information. Additionally, weak security in third-party devices and limited awareness among smallholders increase vulnerability. Moreover, regulatory scrutiny and potential liability for data misuse create commercial uncertainty.

Covid-19 Impact:

The COVID-19 pandemic accelerated interest in digital agricultural tools by exposing vulnerabilities in labor supply chains and distribution. Remote monitoring and analytics enabled some operations to maintain productivity when movement was restricted, and buyers increasingly demanded traceability and supply-chain visibility. However, interrupted capital flows and project delays slowed deployments, especially among smaller farms. Overall, the crisis both highlighted the value of analytics and created short-term funding and implementation challenges. Recovery since 2021 supported renewed investment.

The solutions (software platforms) segment is expected to be the largest during the forecast period

The solutions (software platforms) segment is expected to account for the largest market share during the forecast period as platforms support multiple use cases crop health monitoring, yield forecasting, input optimization, and compliance reporting they attract broad customer segments including growers, advisors, and agribusinesses. Additionally, subscription models generate steady revenue streams for vendors and fund continuous improvement, while APIs and partner ecosystems increase stickiness. Interoperability with equipment manufacturers and input suppliers further boosts platform value, making software solutions the natural focal point for investments and market expansion and simplify regulatory compliance workflows.

The small and medium-sized farms segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the small and medium-sized farms segment is predicted to witness the highest growth rate These farms can rapidly adopt sensor bundles, mobile advisory services, and lightweight dashboards without extensive IT investments. Moreover, targeted financing products and donor-supported digital agriculture programs lower acquisition costs, while peer-to-peer knowledge sharing spreads successful practices. Manufacturers of compact machinery integrate telematics that feed into analytics, creating immediate value. As a result, these combined enablers propel the segment's growth ahead of large-farm transformations and attract focused regional investment from investors.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share due to well-established precision-agriculture ecosystems, high mechanization, and extensive farm consolidation that favor analytics deployment. Large commercial farms and agribusinesses have the capital and scale to invest in sensors, telematics and platform subscriptions, while strong broadband coverage and cloud infrastructure enable reliable services. Additionally, active venture investment, OEM partnerships, and mature dealer networks accelerate commercialization. Regulatory drivers for traceability and sustainability reporting further increase demand for analytics solutions. Together, these structural factors sustain North America's dominant position during the forecast period.

Region with highest CAGR:

Over the forecast period, the North America region is anticipated to exhibit the highest CAGR because technological innovation and business model evolution continue to unlock new customer segments. Cloud services, edge computing, and advanced analytics make it economically viable for medium and smaller operations to adopt solutions. Growth is fueled by investments in agtech startups, expanding telematics in mid-sized machinery, and increasing demand for sustainability and carbon accounting. Furthermore, expanding value-added services crop insurance analytics and precision input marketplaces create fresh revenue streams, driving rapid year-over-year market expansion.

Key players in the market

Some of the key players in Agricultural Data Analytics Market include Deere & Company, Trimble Inc., Bayer AG, IBM Corporation, SAP SE, AGCO Corporation, Oracle Corporation, Microsoft Corporation, Accenture plc, Farmers Edge Inc., CropX Technologies, Taranis, Iteris, Inc., PrecisionHawk, Inc., Agrivi Ltd., SAS Institute Inc., Geosys SAS, Proagrica Ltd., and Conservis Corporation.

Key Developments:

In August 2025, Deere announced a partnership with ag-tech incubator The Reservoir, aiming to accelerate adoption of new precision/analytics solutions in specialty crops. Under the agreement, Deere becomes the exclusive OEM partner for Reservoir's network, giving it early access to newly developed technologies.

In May 2025, John Deere announced the acquisition of Sentera, a leading provider of remote imagery solutions for agriculture headquartered in St. Paul, Minnesota. This acquisition will advance the capabilities of John Deere's existing technology offerings, providing farmers and ag service providers with a more comprehensive set of tools to generate and use data to make decisions that improve farm profitability, efficiency, and sustainability.

In January 2025, Deere unveiled new autonomous tractors, a dump truck, and a battery-electric commercial mower at CES 2025, equipping them with advanced computer vision, AI, and autonomy features.

Components Covered:

  • Solutions (Software Platforms)
  • Services

Deployment Modes Covered:

  • Cloud-based
  • On-Premises

Farm Sizes Covered:

  • Large Farms
  • Small and Medium-Sized Farms

Technologies Covered:

  • Core Technologies
  • Enabling Technologies

Applications Covered:

  • Farm Analytics
  • Livestock Analytics
  • Aquaculture Analytics
  • Greenhouses & Indoor Farming Analytics

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 Agricultural Data Analytics Market, By Component

  • 5.1 Introduction
  • 5.2 Solutions (Software Platforms)
    • 5.2.1 Farm Management Software (FMS)
    • 5.2.2 Yield Monitoring and Forecasting Solutions
    • 5.2.3 Inventory Management Solutions
    • 5.2.4 Supply Chain and Traceability Suites
  • 5.3 Services
    • 5.3.1 Managed Services
    • 5.3.2 Professional Services

6 Global Agricultural Data Analytics Market, By Deployment Mode

  • 6.1 Introduction
  • 6.2 Cloud-based
  • 6.3 On-Premises

7 Global Agricultural Data Analytics Market, By Farm Size

  • 7.1 Introduction
  • 7.2 Large Farms
  • 7.3 Small and Medium-Sized Farms

8 Global Agricultural Data Analytics Market, By Technology

  • 8.1 Introduction
  • 8.2 Core Technologies
    • 8.2.1 Predictive Analytics
    • 8.2.2 Prescriptive Analytics
    • 8.2.3 Descriptive Analytics
  • 8.3 Enabling Technologies
    • 8.3.1 Big Data & IoT (Internet of Things)
    • 8.3.2 Artificial Intelligence (AI) & Machine Learning (ML)
    • 8.3.3 Remote Sensing & Imagery
    • 8.3.4 Geographic Information Systems (GIS)

9 Global Agricultural Data Analytics Market, By Application

  • 9.1 Introduction
  • 9.2 Farm Analytics
    • 9.2.1 Yield Monitoring
    • 9.2.2 Crop Health Monitoring
    • 9.2.3 Irrigation Management
    • 9.2.4 Field Mapping
    • 9.2.5 Weather Tracking & Forecasting
  • 9.3 Livestock Analytics
    • 9.3.1 Health & Behavior Monitoring
    • 9.3.2 Milk Harvesting Management
    • 9.3.3 Feeding Management
  • 9.4 Aquaculture Analytics
  • 9.5 Greenhouses & Indoor Farming Analytics

10 Global Agricultural Data Analytics Market, By Geography

  • 10.1 Introduction
  • 10.2 North America
    • 10.2.1 US
    • 10.2.2 Canada
    • 10.2.3 Mexico
  • 10.3 Europe
    • 10.3.1 Germany
    • 10.3.2 UK
    • 10.3.3 Italy
    • 10.3.4 France
    • 10.3.5 Spain
    • 10.3.6 Rest of Europe
  • 10.4 Asia Pacific
    • 10.4.1 Japan
    • 10.4.2 China
    • 10.4.3 India
    • 10.4.4 Australia
    • 10.4.5 New Zealand
    • 10.4.6 South Korea
    • 10.4.7 Rest of Asia Pacific
  • 10.5 South America
    • 10.5.1 Argentina
    • 10.5.2 Brazil
    • 10.5.3 Chile
    • 10.5.4 Rest of South America
  • 10.6 Middle East & Africa
    • 10.6.1 Saudi Arabia
    • 10.6.2 UAE
    • 10.6.3 Qatar
    • 10.6.4 South Africa
    • 10.6.5 Rest of Middle East & Africa

11 Key Developments

  • 11.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 11.2 Acquisitions & Mergers
  • 11.3 New Product Launch
  • 11.4 Expansions
  • 11.5 Other Key Strategies

12 Company Profiling

  • 12.1 Deere & Company
  • 12.2 Trimble Inc.
  • 12.3 Bayer AG
  • 12.4 IBM Corporation
  • 12.5 SAP SE
  • 12.6 AGCO Corporation
  • 12.7 Oracle Corporation
  • 12.8 Microsoft Corporation
  • 12.9 Accenture plc
  • 12.10 Farmers Edge Inc.
  • 12.11 CropX Technologies
  • 12.12 Taranis
  • 12.13 Iteris, Inc.
  • 12.14 PrecisionHawk, Inc.
  • 12.15 Agrivi Ltd.
  • 12.16 SAS Institute Inc.
  • 12.17 Geosys SAS
  • 12.18 Proagrica Ltd.
  • 12.19 Conservis Corporation

List of Tables

  • Table 1 Global Agricultural Data Analytics Market Outlook, By Region (2024-2032) ($MN)
  • Table 2 Global Agricultural Data Analytics Market Outlook, By Component (2024-2032) ($MN)
  • Table 3 Global Agricultural Data Analytics Market Outlook, By Solutions (Software Platforms) (2024-2032) ($MN)
  • Table 4 Global Agricultural Data Analytics Market Outlook, By Farm Management Software (FMS) (2024-2032) ($MN)
  • Table 5 Global Agricultural Data Analytics Market Outlook, By Yield Monitoring and Forecasting Solutions (2024-2032) ($MN)
  • Table 6 Global Agricultural Data Analytics Market Outlook, By Inventory Management Solutions (2024-2032) ($MN)
  • Table 7 Global Agricultural Data Analytics Market Outlook, By Supply Chain and Traceability Suites (2024-2032) ($MN)
  • Table 8 Global Agricultural Data Analytics Market Outlook, By Services (2024-2032) ($MN)
  • Table 9 Global Agricultural Data Analytics Market Outlook, By Managed Services (2024-2032) ($MN)
  • Table 10 Global Agricultural Data Analytics Market Outlook, By Professional Services (2024-2032) ($MN)
  • Table 11 Global Agricultural Data Analytics Market Outlook, By Deployment Mode (2024-2032) ($MN)
  • Table 12 Global Agricultural Data Analytics Market Outlook, By Cloud-based (2024-2032) ($MN)
  • Table 13 Global Agricultural Data Analytics Market Outlook, By On-Premises (2024-2032) ($MN)
  • Table 14 Global Agricultural Data Analytics Market Outlook, By Farm Size (2024-2032) ($MN)
  • Table 15 Global Agricultural Data Analytics Market Outlook, By Large Farms (2024-2032) ($MN)
  • Table 16 Global Agricultural Data Analytics Market Outlook, By Small and Medium-Sized Farms (2024-2032) ($MN)
  • Table 17 Global Agricultural Data Analytics Market Outlook, By Technology (2024-2032) ($MN)
  • Table 18 Global Agricultural Data Analytics Market Outlook, By Core Technologies (2024-2032) ($MN)
  • Table 19 Global Agricultural Data Analytics Market Outlook, By Predictive Analytics (2024-2032) ($MN)
  • Table 20 Global Agricultural Data Analytics Market Outlook, By Prescriptive Analytics (2024-2032) ($MN)
  • Table 21 Global Agricultural Data Analytics Market Outlook, By Descriptive Analytics (2024-2032) ($MN)
  • Table 22 Global Agricultural Data Analytics Market Outlook, By Enabling Technologies (2024-2032) ($MN)
  • Table 23 Global Agricultural Data Analytics Market Outlook, By Big Data & IoT (Internet of Things) (2024-2032) ($MN)
  • Table 24 Global Agricultural Data Analytics Market Outlook, By Artificial Intelligence (AI) & Machine Learning (ML) (2024-2032) ($MN)
  • Table 25 Global Agricultural Data Analytics Market Outlook, By Remote Sensing & Imagery (2024-2032) ($MN)
  • Table 26 Global Agricultural Data Analytics Market Outlook, By Geographic Information Systems (GIS) (2024-2032) ($MN)
  • Table 27 Global Agricultural Data Analytics Market Outlook, By Application (2024-2032) ($MN)
  • Table 28 Global Agricultural Data Analytics Market Outlook, By Farm Analytics (2024-2032) ($MN)
  • Table 29 Global Agricultural Data Analytics Market Outlook, By Yield Monitoring (2024-2032) ($MN)
  • Table 30 Global Agricultural Data Analytics Market Outlook, By Crop Health Monitoring (2024-2032) ($MN)
  • Table 31 Global Agricultural Data Analytics Market Outlook, By Irrigation Management (2024-2032) ($MN)
  • Table 32 Global Agricultural Data Analytics Market Outlook, By Field Mapping (2024-2032) ($MN)
  • Table 33 Global Agricultural Data Analytics Market Outlook, By Weather Tracking & Forecasting (2024-2032) ($MN)
  • Table 34 Global Agricultural Data Analytics Market Outlook, By Livestock Analytics (2024-2032) ($MN)
  • Table 35 Global Agricultural Data Analytics Market Outlook, By Health & Behavior Monitoring (2024-2032) ($MN)
  • Table 36 Global Agricultural Data Analytics Market Outlook, By Milk Harvesting Management (2024-2032) ($MN)
  • Table 37 Global Agricultural Data Analytics Market Outlook, By Feeding Management (2024-2032) ($MN)
  • Table 38 Global Agricultural Data Analytics Market Outlook, By Aquaculture Analytics (2024-2032) ($MN)
  • Table 39 Global Agricultural Data Analytics Market Outlook, By Greenhouses & Indoor Farming Analytics (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.