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1836400

農業數據分析市場預測至 2032 年：按組件、部署模式、農場規模、技術、應用和地區進行的全球分析

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個工作天內

價格

根據 Stratistics MRC 的數據，全球農業數據分析市場預計在 2025 年達到 75 億美元，到 2032 年將達到 206 億美元，預測期內的複合年成長率為 15.6%。

農業數據分析市場利用巨量資料、物聯網設備、人工智慧和預測分析來最佳化農業營運和決策。透過分析天氣模式、土壤健康狀況、作物生長和供應鏈指標，農民可以實現精密農業，提高產量並減少資源浪費。數位化農業解決方案的普及、政府推動的智慧農業舉措以及對永續實踐日益成長的需求推動了這一市場的成長。該市場已成為現代農業的關鍵，它能夠為整個農業生態系統提供切實可行的洞察、提高生產力並進行風險管理。

採用精密農業

隨著農民追求更高的產量和更低的投入成本，精密農業正從試點計劃走向主流應用。將衛星和無人機影像與田間感測器和機器學習相結合，種植者可以僅在需要的地方施用水、肥料和作物保護劑，從而提高資源效率和淨利率。此外，農藝模型和分析平台將原始數據轉化為清晰、可操作的種植、灌溉計劃和收穫時間建議。這些實際優勢，加上降低技術門檻的服務模式，正在推動精準農業在商業農場和先進的小規模經營中迅速普及，支持全球長期永續性目標。

開發中地區的技術基礎設施有限

寬頻連接不佳、電力供應不穩定以及當地技術技能的缺乏，使得大規模部署感測器、邊緣設備和雲端基礎平台變得困難。此外，所擁有土地分散和資料利用不規範，降低了供應商自行建構解決方案的商業性獎勵。此外，高昂的前期成本和小農戶資金籌措選擇有限，也阻礙了技術的採用。彌補這些差距需要公私合作、投資、培訓計畫和低成本的技術改造。政策支持和農村互聯互通計劃可以彌補差距，並加速小農戶的採用。

開發經濟實惠的分析解決方案

低成本感測器、簡化的使用者介面和訂閱定價的設計，使供應商能夠服務於資源受限的農場，同時保持可行的經營模式。此外，開放資料標準和模組化平台降低了整合成本，並允許本地服務供應商客製化其產品。獲得公共補貼和混合融資也降低了初始採購的風險，與合作社和投入品供應商的夥伴關係建立了分銷管道。這可以使洞察力更加民主化，提高收入，並增強當地農場層面的韌性。

網路安全風險

網路安全風險對農業資料分析的採用和信任構成了重大威脅。農場越來越依賴連網感測器、遠端資訊處理和雲端平台來收集敏感的營運和商業數據，這些數據一旦被洩露或篡改，可能會擾亂營運或洩露競爭資訊。此外，第三方設備安全性薄弱以及小農戶的認知度有限，加劇了這些漏洞。此外，監管審查和數據濫用的潛在責任也帶來了商業性不確定性。

COVID-19的影響：

新冠疫情揭露了勞動力供應鏈和分銷環節的脆弱性，加速了人們對數位農業工具的興趣。遠端監控和分析使一些作業即使在行動受限的情況下也能保持高效，買家也越來越要求可追溯性和供應鏈可視性。然而，資金流中斷和計劃延誤減緩了數位化農業工具的採用，尤其是在小農戶群體中。整體而言，這場危機凸顯了分析的價值，同時也帶來了短期資金籌措和應用的挑戰。 2021年及以後的經濟復甦支撐了投資的復甦。

解決方案（軟體平台）部分預計將成為預測期內最大的部分

預計解決方案（軟體平台）細分市場將在預測期內佔據最大市場佔有率。這是因為平台支援多種用例，例如作物健康監測、產量預測、投入最佳化和合規性報告，從而吸引了包括種植者、顧問和農業相關企業在內的廣泛客戶群。此外，訂閱模式為供應商提供了穩定的收益來源並資助持續改進，而API和合作夥伴生態系統則增強了客戶黏著度。與設備製造商和投入品供應商的互通性進一步提升了平台的價值，使軟體解決方案自然成為投資和市場拓展的重點，從而簡化了監管合規工作流程。

預計在預測期內，中小型農場部門的複合年成長率最高。

預計中小型農場細分市場將在預測期內實現最高成長率。這些農場無需大量IT投資，即可快速採用感測器套件、行動諮詢服務和輕量級儀錶板。此外，定向貸款產品和捐助方支持的數位農業計畫正在降低收購成本，而P2P知識共用正在擴大成功案例。小型機械製造商正在整合遠端資訊處理技術，並利用其進行分析，從而創造即時價值。因此，這些多重推動因素正在推動該細分市場在大規模農業轉型之前的成長，吸引投資者專注於本地的投資。

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。這得歸功於其成熟的精密農業生態系統、日益成長的機械化程度以及有利於分析部署的農場整合。大型商業農場和相關企業擁有投資感測器、遠端資訊處理和平台訂閱的資本和規模，而強大的寬頻和雲端基礎設施則能夠提供可靠的服務。此外，積極的風險投資、原始設備製造商 (OEM)夥伴關係以及成熟的經銷商網路正在加速商業化進程。監管部門對可追溯性和永續性報告的推動將進一步增加對分析解決方案的需求。這些結構性因素共同支撐了北美在預測期內的主導地位。

複合年成長率最高的地區：

隨著技術創新和不斷發展的經營模式不斷拓展新的客戶群，預計北美將在預測期內實現最高的複合年成長率。雲端服務、邊緣運算和進階分析技術使中小型企業能夠以經濟實惠的方式採用解決方案。成長的動力來自對農業科技新興企業的投資、中型機械遠端資訊處理的擴展以及對永續性和碳計量日益成長的需求。此外，作物保險分析和精準投入市場等附加價值服務的擴展正在創造新的收益來源，推動市場實現快速的逐年擴張。

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  • 區域細分
    • 根據客戶興趣對主要國家進行的市場估計、預測和複合年成長率（註：基於可行性檢查）
  • 競爭基準化分析
    • 根據產品系列、地理分佈和策略聯盟對主要企業基準化分析

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

5. 全球農業數據分析市場（按組成部分）

  • 解決方案（軟體平台）
    • 農場管理軟體（FMS）
    • 產量監測和預測解決方案
    • 庫存管理解決方案
    • 供應鏈和可追溯性套件
  • 服務
    • 託管服務
    • 專業服務

6. 全球農業資料分析市場（依部署模式）

  • 雲端基礎
  • 本地部署

7. 全球農業數據分析市場（依農場規模）

  • 大型農場
  • 中小型農場

8. 全球農業數據分析市場（按技術）

  • 核心技術
    • 預測分析
    • 指示性分析
    • 說明分析
  • 實行技術
    • 巨量資料和物聯網
    • 人工智慧（AI）和機器學習（ML）
    • 遙感探測和影像
    • 地理資訊系統（GIS）

9. 全球農業數據分析市場（按應用）

  • 農場分析
    • 產量監測
    • 作物健康監測
    • 灌溉管理
    • 字段映射
    • 氣象追蹤與預報
  • 牲畜分析
    • 健康和行為監測
    • 牛奶收穫管理
    • 飼養管理
  • 水產養殖分析
  • 溫室和室內農業分析

第10章全球農業資料分析市場（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11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12章 公司概況

  • 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.