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農業技術資料管理和分析市場 - 全球和區域分析：資料收集方法和支援技術、應用、解決方案和區域 - 分析和預測（2025-2035年）
市場調查報告書
商品編碼
1802932

農業技術資料管理和分析市場 - 全球和區域分析：資料收集方法和支援技術、應用、解決方案和區域 - 分析和預測（2025-2035年）

Data Management and Analysis Market for Agritech - A Global and Regional Analysis: Focus on Data Capturing Methods and Supporting Technologies, Application, Product, and Regional Analysis - Analysis and Forecast, 2025-2035
出版日期: | 出版商: BIS Research | 英文 141 Pages | 商品交期: 1-5個工作天內

價格

農業技術的資料管理和分析市場快速成長，主要受永續性和糧食安全日益成長的需求所推動。

推動市場成長的另一個關鍵因素是氣候變遷所帶來的風險。害蟲、雜草和不穩定的天氣條件帶來的風險使得數位化農業不再是一種選擇，而是農業領域的必需品，這直接推動了市場的發展。市場的高成長也歸因於應用組合的多樣化等因素。除了農業之外，最明顯的應用是數位工具在畜牧管理的應用。例如，總部位於美國的農業技術公司 Precision Livestock Technologies 於2024年推出了一款基於人工智慧的飼料攝取量監測解決方案，目的是藉助預測分析來改善牛的營養策略。

主要市場統計資料
預測期 2025-2035
2025年評估 35.74億美元
2035年的預測 102.43億美元
年複合成長率 11.1%

然而，即使應用數量不斷增加，某些因素仍在阻礙市場成長，例如高昂的前期成本、小型農場的投資回報率不明確、標準碎片化以及互通性問題。缺乏普遍接受的資料通訊協定和標準，導致設備之間難以相互通訊。在政府的支持以及農業技術領域私人機構的技術開拓努力下，市場正應對這些挑戰。

市場概覽

收益到2035年，農業技術資料管理和分析市場規模將從2024年的32.015億美元增至 102.43億美元，預測期內（2025-2035年）的年複合成長率為 11.10%。隨著農民、相關企業和政策制定者尋求提高生產力、提高資源效率和確保糧食生產的永續性，農業技術的資料管理和分析已成為全球農業轉型的關鍵推動因素。該產業利用人工智慧、機器學習、物聯網感測器、衛星圖像和雲端基礎等先進技術來收集、處理和分析大量的農場和供應鏈資料。這使相關人員能夠做出資料主導的決策，提高作物產量、減少投入浪費並降低與天氣波動、病蟲害和市場波動相關的風險。

對產業的影響

農業技術資料管理和分析市場重塑農業產業，將決策從基於經驗的判斷轉變為依證情報。透過整合多種資料來源，從土壤濕度感測器和無人機影像到衛星天氣預報和市場價格資訊，這些平台使農民和農業相關企業能夠以前所未有的精度運作。結果是，產量預測、投入最佳化和風險規避得到改善，在減少環境影響的同時，實現了可衡量的生產力提升。

最大的影響之一是資源效率。人工智慧主導的變數灌溉技術（VRT）建議和預測性灌溉調度幫助農民實現化肥、農藥和水資源使用量兩位數的減少，這與永續性目標和法規合規要求相一致。新興市場的小農戶利用行動優先的分析平台獲取農藝建議，提高他們的韌性和市場准入率。

市場區隔:

細分1：依應用

  • 精密農業
  • 林業
  • 牲畜管理
  • 水產養殖

精密農業引領市場（依應用）

精密農業超越了資料管理和分析的其他應用，甚至超越了其他類型的農業，這其中有幾個重要的原因。精密農業利用GPS、物聯網和遙感探測，精準施用水、肥料、農藥等投入，減少浪費並提高效率。自動化決策系統最大限度地減少了人工干預和人為錯誤。位置作物管理（SSCM）使農民能夠在不擴大土地使用的情況下提高每公頃產量。它還能減少排放、土壤侵蝕、碳排放和用水量，應對氣候變遷和土地劣化等關鍵問題。

該領域的技術發展也鞏固了其領先地位：2025年， DJI Brazil推出了其軟體產品「Software Drone Powered Farming」，展示了基於無人機的作物噴灑、測繪和分析功能的擴展。該產品在巴西2025年農業展（Agrishow2025）上亮相，重點展示了用於數位化田間作業的新型軟體無人機整合技術。

細分 2：依解決方案

  • 全端數位農業平台
  • OEM整合資料平台
  • 農學決策支援套件
  • 精準灌溉與土壤健康管理平台
  • 遙感探測和影像分析套件
  • 農場ERP與財務整合平台

全端數位農業平台佔據市場主導地位（依解決方案）

全端數位農業平台在全球範圍內需求旺盛，因為它們提供端到端解決方案，整合了從資料收集和農藝分析到農場營運、投入品採購、供應鏈和市場聯繫等方方面面。與單點數位農業解決方案（例如簡單的天氣應用程式或產量預測工具）不同，全端平台為農業價值鏈上的不同相關人員提供了一個無縫、擴充性且可行的生態系統。它們是一站式解決方案，集精密農業、金融工具、諮詢、投入品採購、供應鏈管理和農產品行銷於一體，減少了技術分散。所有農場運作（土壤健康、天氣、作物階段、機械設備和市場價格）都透過單一資訊來源連接起來，改善了即時決策。

許多農業相關企業將此解決方案融入其農業技術中。 Corteva Agriscience 的Granular Insights 是一款農場管理軟體（FMS），目的是增強農業營運的收益追蹤。它幫助種植者和顧問在規劃、種植和田間分析方面進行協作。借助衛星影像、視覺化分析和歷史資料等功能，農民可以更了解產量表現和預測。

細分3：依地區

  • 北美洲
  • 歐洲
  • 亞太地區
  • 其他地區

北美引領市場（依地區）

北美引領市場，因為該地區對永續農業的需求是農業應用數位技術的主要驅動力。對資源保護和糧食安全的日益關注，以及對氣候適應能力的需求，也推動該地區市場的發展。

北美迅速將數位技術應用於農業，美國處於領先地位。這得歸功於美國政府針對氣候智慧型農業實踐的舉措，例如「氣候智慧型作物夥伴關係」 。美國也在該領域投入巨資。例如，2022年，美國政府為數位農業計劃撥款約 31億美元。加拿大政府也推出了加拿大農業食品自動化和智慧網路（CAAIN），該計畫支援人工智慧、機器人、物聯網和智慧農業數位平台。政府還在數位農業方面投資了約 4,950萬美元。墨西哥數位農業的快速成長也受到政府措施和資源最佳化需求的推動。該國於2024年啟動了其農業科技計畫。

農業技術資料管理和分析市場的最新趨勢

  • 2022年，BASF將Xarvio Field Manager整合到部分農場運作。此次整合是BASF擴大其園藝領域數位化產品組合的更廣泛策略的一部分，尤其是在2022年收購Horta的決策支援系統（DSS）和植物生長模型之後。
  • 2025年初，BASF推出了 Xarvio 水果和蔬菜現場經理，目標客戶是歐洲和土耳其的葡萄酒和鮮食葡萄生產商。
  • 2025年 8月，英國新興企業Spotta 改造了最初為飯店設計的害蟲監測物聯網感測器，以即時檢測椰棗種植園中的紅棕象鼻蟲侵擾情況。

本報告依應用和解決方案對農業技術資料管理和分析市場進行調查分析。報告涵蓋一系列解決方案，包括全端數位精密農業平台、OEM整合資料平台、農學決策支援套件、精準灌溉和土壤健康管理平台、遙感探測和影像分析套件，以及涵蓋精準農業、林業、畜牧業管理和水產養殖等多個應用領域的農場ERP和財務整合平台。本報告將幫助創新者識別其現有產品中的不足，並調整其產品藍圖，以提供差異化、擴充性且符合監管環境的解決方案。

農業技術資料管理和分析市場快速發展，領先企業擴大產能、建立策略聯盟並開展試點計畫，以鞏固其市場地位。本報告追蹤這些發展動態，並深入分析主要企業如何進入或擴展應用領域。本報告將協助行銷團隊識別高成長領域，根據最終用戶的期望調整價值提案，並根據區域動態和技術準備制定有針對性的打入市場策略。

它提供了深入的競爭格局，並根據產品供應、創新管道、夥伴關係和擴張計劃對關鍵參與者進行了分析。競爭基準化分析使讀者能夠評估每家公司在產品類型和應用領域中的地位。

主要市場參與企業和競爭對手的摘要

農業技術的資料管理和分析市場正獲得強勁發展，這得益於農業領域加速採用精密農業、物聯網監測和人工智慧決策支援工具。2023年至2025年期間，該領域將整合多源資料流，包括土壤感測器、衛星影像、天氣預報和供應鏈輸入，並將其整合到整合平台中，為農民和農業相關企業提供即時洞察。

2025年3月，Climate LLC（拜耳）推出了其下一代Climate FieldView分析模組，該模組將機器學習主導的產量預測與局部的病蟲害風險模型相結合，幫助農民在種植季做出更準確的決策。2025年2月，TELUS Agriculture宣布推出一個完全整合的從農場到食品的供應鏈資料平台，該平台將生產分析與下游可追溯性相結合，以滿足生產力和合規性需求。2025年1月，Semios與Agworld合作，擴展了其果園和葡萄園分析套件，整合了高價值作物的即時病蟲害捕獲資料和水分脅迫監測。

該市場的一些知名公司包括：

  • Climate LLC
  • TELUS Agriculture
  • SemiosBio Technologies Inc.
  • Deere & Company
  • Trimble Inc.
  • Corteva（Granular）
  • Bushel Inc.
  • Ag Leader Technology
  • AgriWebb
  • Conservis
  • BASF（xarvio）
  • Yara International（Atfarm, etc.）
  • CropX Inc.
  • Arable Labs
  • Valmont Industries（Valley）

目錄

執行摘要

第1章 市場：產業展望

  • 市場動態
  • 趨勢
    • 多源資料整合和AI/ML分析
    • 用於超當地語系化監控的物聯網和邊緣智慧感測器網路
    • LLM決策系統及SAGDA介紹
  • 市場促進因素
    • 碳市場的成長和對檢驗排放資料的需求
    • 將農業資料與金融和保險服務結合
    • 氣候變遷風險日益增加
    • 擴大全球畜禽管理
  • 市場挑戰
    • 小農戶前期成本高，投資收益不明確
    • 跨平台資料標準分散和互通性問題
    • 來自第三方整合和嵌入式技術的不可見資料外部性
  • 市場機會
    • 使用即時生物識別為牲畜建立人工智慧營養模型
    • 技術開發
    • 農業資料創新協作研發發展系統
  • 監管和政策影響分析
  • 專利分析
    • 專利申請趨勢（依國家）
    • 專利申請趨勢（依公司）
  • Start-Ups概況
  • 目前採用狀況

第2章 應用

  • 使用摘要
    • 農業技術資料管理與分析市場（依應用）

第3章 產品

  • 產品摘要
    • 農業技術資料管理和分析市場（依解決方案）

第4章 區域

  • 區域摘要
  • 北美洲
    • 區域市場
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 區域市場
    • 德國
    • 法國
    • 俄羅斯
    • 西班牙
    • 英國
    • 土耳其
    • 其他
  • 亞太地區
    • 區域市場
    • 中國
    • 日本
    • 印度
    • 澳洲
    • 印尼
    • 其他
  • 其他地區
    • 區域市場
    • 南美洲
    • 中東和非洲

第5章 市場 - 競爭基準化分析與公司簡介

  • Climate LLC
  • TELUS
  • SemiosBio Technologies Inc.
  • Deere & Company
  • Trimble Inc.
  • Corteva
  • Bushel Inc.
  • Ag Leader Technology
  • AgriWebb
  • Conservis
  • BASF
  • Yara
  • CropX Inc.
  • Arable
  • Valmont Industries, Inc.

第6章 調查方法

Product Code: AGA2990SA

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Introduction of Data Management and Analysis Market for Agritech

The data management and analysis market for agritech is growing at a pace mainly due to the growing need for sustainability and food security. The other significant factor that contributes to the augmented growth of the market is the risk associated with climate change. The risks related to pests, weeds, and volatile weather conditions make digital agriculture no longer optional; it has become an indispensable part of agriculture. It directly stimulates the market. The high market growth is also attributed to factors such as the diversification in the application portfolio. The most explicitly visible application, apart from farming, is the use of digital tools in livestock management. For instance, in 2024, Precision Livestock Technologies, a U.S.-based agritech organization, launched an AI-based feed intake monitoring solution, with the motive of enhancing cattle nutrition strategies with the help of predictive analytics.

KEY MARKET STATISTICS
Forecast Period2025 - 2035
2025 Evaluation$3,574.0 Million
2035 Forecast$10,243.0 Million
CAGR11.1%

However, even after increasing applications, the market growth has been hampered by certain factors such as high up-front costs and unclear ROI for smaller farms, and fragmented standards and interoperability issues. In the absence of universally accepted data protocols or standards, it is difficult for the devices to communicate with each other. The market is still able to cope with the challenges with the help of support from governments and technological developments by private organizations in the agritech arena.

Market Overview

The data management and analysis market for agritech's revenue was $3,201.5 million in 2024, and it is expected to reach $10,243.0 million by 2035, advancing at a CAGR of 11.10% during the forecast period (2025-2035). Data management and analysis for agritech has emerged as a pivotal enabler of the global agricultural transformation, as farmers, agribusinesses, and policymakers seek to increase productivity, improve resource efficiency, and ensure sustainability in food production. The sector leverages a combination of advanced technologies, such as AI, ML, IoT sensors, satellite imagery, and cloud-based computing, to collect, process, and analyze vast volumes of farm and supply chain data. This enables stakeholders to make data-driven decisions that enhance crop yields, reduce input waste, and mitigate risks associated with weather variability, pests, and market fluctuations.

Industrial Impact

The data management and analysis market for agritech is reshaping the agricultural industry by transitioning decision-making from experience-based judgment to evidence-based, real-time intelligence. By integrating multiple data sources, ranging from soil moisture sensors and drone imagery to satellite weather forecasts and market price feeds, these platforms are enabling farmers and agribusinesses to operate with unprecedented precision. The resulting improvements in yield forecasting, input optimization, and risk mitigation are delivering measurable productivity gains while lowering environmental impact.

One of the most significant impacts is on resource efficiency. AI-driven variable rate technology (VRT) recommendations and predictive irrigation scheduling are helping producers reduce fertilizer, pesticide, and water usage by double-digit percentages, aligning with sustainability targets and regulatory compliance requirements. Large-scale commercial farms are using advanced analytics to benchmark performance across fields and seasons, while smallholders in emerging markets are leveraging mobile-first analytics platforms to access agronomic advice, improving resilience and market participation.

Market Segmentation:

Segmentation 1: by Application

  • Precision Farming
  • Forestry
  • Livestock Management
  • Aquaculture

Precision Farming Leads the Market (by Application)

Precision farming has outpaced other applications of data management and analysis, or other types of agriculture, due to one significant reason, i.e., lower input costs and higher profitability than other categories. Precision farming uses GPS, IoT, and remote sensing to apply exact amounts of inputs (such as water, fertilizer, and pesticides), reducing waste and increasing efficiency. Automated decision-making systems minimize manual intervention and human error. With site-specific crop management (SSCM), farmers can increase output per hectare without expanding land use. Also, it helps reduce emissions, soil erosion, carbon footprint, and water usage, addressing critical issues of climate change and land degradation.

The technological developments happening in the field also contribute to its position as the frontrunner. In 2025, a software product, "Software Drone Powered Farming," was launched by DJI Brazil. It showcased expanded drone-based crop spraying, mapping, and analytics capabilities, unveiled at Agrishow?2025 in Brazil, highlighting new software drone integration for digital field operations.

Segmentation 2: by Solution

  • Full-Stack Digital Farming Platforms
  • OEM-Integrated Data Platforms
  • Agronomic Decision Support Suites
  • Precision Irrigation and Soil Health Management Platforms
  • Remote Sensing and Imagery Analysis Suites
  • Farm ERP and Finance-Integrated Platforms

Full-Stack Digital Farming Platforms Dominate the Market (by Solution)

Full-stack digital farming platforms are in growing demand across the world because they offer integrated, end-to-end solutions, unifying everything from data collection and agronomic analytics to farm operations, input sourcing, supply chain, and market linkages. Unlike single-point digital ag solutions (e.g., just weather apps or yield prediction tools), full-stack platforms provide a seamless, scalable, and actionable ecosystem for diverse stakeholders across the agricultural value chain. It is a one-stop solution that combines precision agriculture, financial tools, advisory, input procurement, supply chain management, and output marketing, reducing tech fragmentation. All farm operations (soil health, weather, crop stage, machinery, and market pricing) are connected via a single source of truth, improving real-time decisions.

Many agribusinesses are integrating the solution into their farming techniques. Granular Insights by Corteva Agriscience is farm management software (FMS) designed to enhance the profitability tracking of agricultural operations. It helps growers and advisors collaborate on planning, growing, and analyzing fields. Using features such as satellite imagery, visual analysis, and historical data, farmers can be more informed about yield performance and predictions.

Segmentation 3: by Region

  • North America
  • Europe
  • Asia-Pacific
  • Rest-of-the-World

North America Leads the Market (by Region)

North America is the leader in the market. This is because the need for sustainable farming is high in the region, which is the most significant driver for the adoption of digital technologies in agriculture. The focus on resource conservation and food security, and the surging need for climate resilience, are also driving the market in the region.

North America is swiftly adopting digital technologies in agriculture, with the U.S. leading in the region. This is because the U.S. government has taken initiatives for climate-smart farming practices, such as partnerships for climate-smart commodities. Also, the country has been investing heavily in this field. For instance, in 2022, the U.S. government allocated around $3.1 billion for digital agricultural projects. The Canadian government also launched a program, "Canadian Agri-food Automation and Intelligence Network (CAAIN)" to support AI, robotics, IoT, and digital platforms for smart agriculture. The government also invested around $49.5 million in digital agriculture. In Mexico, the rapid growth of digital agriculture has also been fueled by the government efforts and the need for resource optimization. The country launched an AgTech program in 2024.

Recent Developments in the Data Management and Analysis Market for Agritech

  • In 2022, BASF integrated Xarvio Field Manager into select farm operations. This integration was part of a broader strategy to expand BASF's digital offerings in the horticultural sector, particularly with the acquisition of Horta's Decision Support System (DSS) and plant growth models in 2022.
  • In early 2025, BASF unveiled Xarvio Field Manager for Fruits & Veggies, targeting wine and table grape growers in Europe and Turkiye.
  • In August 2025, U.K. startup Spotta adapted its pest-monitoring IoT sensors, originally designed for hotels, to detect red palm weevil infestations in date plantations in real-time.

How can this report add value to an organization?

Product/Innovation Strategy: This report provides a detailed analysis of the data management and analysis market for agritech, segmented by application and solution. It covers various solutions, such as full-stack digital farming platforms, OEM-integrated data platforms, agronomic decision support suites, precision irrigation and soil health management platforms, remote sensing and imagery analysis suites, and farm ERP and finance-integrated platforms, for several applications such as precision farming, forestry, livestock management, and aquaculture. The report helps innovators identify gaps in the current offering landscape and adapt product roadmaps to deliver differentiated, scalable, and regulatory-compliant solutions.

Growth/Marketing Strategy: The data management and analysis market for agritech has been rapidly evolving, with major players engaging in capacity expansion, strategic alliances, and pilot deployments to strengthen their market position. This report tracks those developments and provides insights into how key companies are entering or expanding into application segments. It supports marketing teams in identifying high-growth sectors, aligning value propositions with end-user expectations, and crafting targeted go-to-market strategies based on regional dynamics and technological readiness.

Competitive Strategy: A thorough competitive landscape is provided, profiling leading players based on their product offerings, innovation pipelines, partnerships, and expansion plans. Competitive benchmarking enables readers to evaluate how companies are positioned across product types and application areas.

Research Methodology

Data Sources

Primary Data Sources

The primary sources involve industry experts from the data management and analysis market for agritech and various stakeholders in the ecosystem. Respondents, including CEOs, vice presidents, marketing directors, and technology and innovation directors, have been interviewed to gather and verify both qualitative and quantitative aspects of this research study.

The key data points taken from primary sources include:

  • validation and triangulation of all the numbers and graphs
  • validation of report segmentations and key qualitative findings
  • understanding the competitive landscape
  • validation of the numbers of several categories
  • percentage split of individual markets for geographical analysis

Secondary Data Sources

This research study involves the usage of extensive secondary research, directories, company websites, and annual reports. It also makes use of databases, such as Hoovers, Bloomberg, Businessweek, and Factiva, to collect useful and effective information for an extensive, technical, market-oriented, and commercial study of the global market. In addition to core data sources, the study referenced insights from reputable organizations and websites, such as the Food and Agriculture Organization (FAO), United States Department of Agriculture (USDA), National Institute of Food and Agriculture (NIFA), Farm Bureau Federation (FBF), Canadian Agri-Food Automation and Intelligence Network (CAAIN), Smart Agriculture Council Mexico, Ministry of Agriculture, Food and Rural Affairs (MAFRA), Korea National Agricultural Cooperative Federation (NACF), Ministry of Agriculture and Rural Affairs (MARA), International Cooperative Agricultural Organization (ICAO), and others, to understand trends in the adoption of data management and analysis solutions for agritech.

Secondary research has been done to obtain crucial information about the industry's value chain, revenue models, the market's monetary chain, the total pool of key players, and the current and potential use cases and applications.

The key data points taken from secondary research include:

  • segmentations and percentage shares
  • data for market value
  • key industry trends of the top players in the market
  • qualitative insights into various aspects of the market, key trends, and emerging areas of innovation
  • quantitative data for mathematical and statistical calculations

Data Triangulation

This research study utilizes extensive secondary sources, including certified publications, articles by recognized authors, white papers, company annual reports, directories, and major databases, to collect useful and effective information for a comprehensive, technical, market-oriented, and commercial study of the data management and analysis market for agritech.

The process of market engineering involves the calculation of the market statistics, market size estimation, market forecast, market crackdown, and data triangulation (the methodology for such quantitative data processes has been explained in further sections). A primary research study has been undertaken to gather information and validate market numbers for segmentation types and industry trends among key players in the market.

Key Market Players and Competition Synopsis

The data management and analysis market for agritech has been gaining strong traction, driven by the agriculture sector's accelerated adoption of precision farming, IoT-enabled monitoring, and AI-powered decision support tools. Between 2023 and 2025, the sector has witnessed an increasing integration of multi-source data streams, including soil sensors, satellite imagery, weather forecasts, and supply chain inputs, into unified platforms that provide real-time insights for growers and agribusinesses.

In March 2025, Climate LLC (Bayer) launched a next-generation Climate FieldView analytics module integrating machine learning-driven yield prediction with localized pest and disease risk modeling, enabling farmers to make more accurate in-season decisions. In February 2025, TELUS Agriculture unveiled its fully integrated farm-to-food supply chain data platform, connecting production analytics with downstream traceability, addressing both productivity and compliance demands. Semios, in collaboration with Agworld, expanded its orchard and vineyard analytics suite in January 2025, integrating real-time pest trapping data with water stress monitoring for high-value crops.

Some prominent names established in this market are:

  • Climate LLC
  • TELUS Agriculture
  • SemiosBio Technologies Inc.
  • Deere & Company
  • Trimble Inc.
  • Corteva (Granular)
  • Bushel Inc.
  • Ag Leader Technology
  • AgriWebb
  • Conservis
  • BASF (xarvio)
  • Yara International (Atfarm, etc.)
  • CropX Inc.
  • Arable Labs
  • Valmont Industries (Valley)

Table of Contents

Executive Summary

Scope and Definition

1 Market: Industry Outlook

  • 1.1 Market Dynamics
    • 1.1.1 Trends, Drivers, Challenges, and Opportunities: Current and Future Impact Assessment
  • 1.2 Trends
    • 1.2.1 Multi-Source Data Integration and AI/ML Analytics
    • 1.2.2 IoT and Edge-Enabled Smart Sensor Networks for Hyperlocal Monitoring
    • 1.2.3 Introduction of LLM Decision Systems and SAGDA
  • 1.3 Market Drivers
    • 1.3.1 Growth of Carbon Markets and Need for Verifiable Emissions Data
    • 1.3.2 Integration of Agriculture Data with Financial and Insurance Services
    • 1.3.3 Rising Climate Change Risks
    • 1.3.4 Livestock and Poultry Management Expansion across the Globe
  • 1.4 Market Challenges
    • 1.4.1 High Up-Front Costs and Unclear ROI for Small Farms
    • 1.4.2 Fragmented Data Standards and Interoperability Issues between Platforms
    • 1.4.3 Invisible Data Externalities from Third-Party Integrations and Embedded Technologies
  • 1.5 Market Opportunities
    • 1.5.1 AI-Powered Nutritional Modeling for Livestock Using Real-Time Biometrics
    • 1.5.2 Technological Developments
    • 1.5.3 Collaborative R&D Ecosystems for Agricultural Data Innovation
  • 1.6 Regulatory and Policy Impact Analysis
  • 1.7 Patent Analysis
    • 1.7.1 Patent Filing Trend (by Country)
    • 1.7.2 Patent Filing Trend (by Company)
  • 1.8 Start-Up Landscape
  • 1.9 Current State of Adoption

2 Application

  • 2.1 Application Summary
    • 2.1.1 Data Management and Analysis Market for Agritech (by Application)
      • 2.1.1.1 Precision Farming
      • 2.1.1.2 Forestry
      • 2.1.1.3 Livestock Management
      • 2.1.1.4 Aquaculture

3 Products

  • 3.1 Product Summary
    • 3.1.1 Data Management and Analysis Market for Agritech (by Solution)
      • 3.1.1.1 Full-Stack Digital Farming Platforms
      • 3.1.1.2 OEM-Integrated Data Platforms
      • 3.1.1.3 Agronomic Decision Support Suites
      • 3.1.1.4 Precision Irrigation and Soil Health Management Platforms
      • 3.1.1.5 Remote Sensing and Imagery Analysis Suites
      • 3.1.1.6 Farm ERP and Finance-Integrated Platforms

4 Region

  • 4.1 Regional Summary
  • 4.2 North America
    • 4.2.1 Regional Market
      • 4.2.1.1 Application
      • 4.2.1.2 Product
    • 4.2.2 U.S.
      • 4.2.2.1 Application
      • 4.2.2.2 Product
    • 4.2.3 Canada
      • 4.2.3.1 Application
      • 4.2.3.2 Product
    • 4.2.4 Mexico
      • 4.2.4.1 Application
      • 4.2.4.2 Product
  • 4.3 Europe
    • 4.3.1 Regional Market
      • 4.3.1.1 Application
      • 4.3.1.2 Product
    • 4.3.2 Germany
      • 4.3.2.1 Application
      • 4.3.2.2 Product
    • 4.3.3 France
      • 4.3.3.1 Application
      • 4.3.3.2 Product
    • 4.3.4 Russia
      • 4.3.4.1 Application
      • 4.3.4.2 Product
    • 4.3.5 Spain
      • 4.3.5.1 Application
      • 4.3.5.2 Product
    • 4.3.6 U.K.
      • 4.3.6.1 Application
      • 4.3.6.2 Product
    • 4.3.7 Turkey
      • 4.3.7.1 Application
      • 4.3.7.2 Product
    • 4.3.8 Rest-of-Europe
      • 4.3.8.1 Application
      • 4.3.8.2 Product
  • 4.4 Asia-Pacific
    • 4.4.1 Regional Market
      • 4.4.1.1 Application
      • 4.4.1.2 Product
    • 4.4.2 China
      • 4.4.2.1 Application
      • 4.4.2.2 Product
    • 4.4.3 Japan
      • 4.4.3.1 Application
      • 4.4.3.2 Product
    • 4.4.4 India
      • 4.4.4.1 Application
      • 4.4.4.2 Product
    • 4.4.5 Australia
      • 4.4.5.1 Application
      • 4.4.5.2 Product
    • 4.4.6 Indonesia
      • 4.4.6.1 Application
      • 4.4.6.2 Product
    • 4.4.7 Rest-of-Asia-Pacific
      • 4.4.7.1 Application
      • 4.4.7.2 Product
  • 4.5 Rest-of-the-World
    • 4.5.1 Regional Market
      • 4.5.1.1 Application
      • 4.5.1.2 Product
    • 4.5.2 South America
      • 4.5.2.1 Application
      • 4.5.2.2 Product
    • 4.5.3 Middle East and Africa
      • 4.5.3.1 Application
      • 4.5.3.2 Product

5 Markets - Competitive Benchmarking & Company Profiles

  • 5.1 Climate LLC
    • 5.1.1 Overview
    • 5.1.2 Top Products/Product Portfolio
    • 5.1.3 Top Competitors
    • 5.1.4 Target Customers
    • 5.1.5 Key Personal
    • 5.1.6 Analyst View
    • 5.1.7 Market Share, 2024
  • 5.2 TELUS
    • 5.2.1 Overview
    • 5.2.2 Top Products/Product Portfolio
    • 5.2.3 Top Competitors
    • 5.2.4 Target Customers
    • 5.2.5 Key Personal
    • 5.2.6 Analyst View
    • 5.2.7 Market Share, 2024
  • 5.3 SemiosBio Technologies Inc.
    • 5.3.1 Overview
    • 5.3.2 Top Products/Product Portfolio
    • 5.3.3 Top Competitors
    • 5.3.4 Target Customers
    • 5.3.5 Key Personal
    • 5.3.6 Analyst View
    • 5.3.7 Market Share, 2024
  • 5.4 Deere & Company
    • 5.4.1 Overview
    • 5.4.2 Top Products/Product Portfolio
    • 5.4.3 Top Competitors
    • 5.4.4 Target Customers
    • 5.4.5 Key Personal
    • 5.4.6 Analyst View
    • 5.4.7 Market Share, 2024
  • 5.5 Trimble Inc.
    • 5.5.1 Overview
    • 5.5.2 Top Products/Product Portfolio
    • 5.5.3 Top Competitors
    • 5.5.4 Target Customers
    • 5.5.5 Key Personal
    • 5.5.6 Analyst View
    • 5.5.7 Market Share, 2024
  • 5.6 Corteva
    • 5.6.1 Overview
    • 5.6.2 Top Products/Product Portfolio
    • 5.6.3 Top Competitors
    • 5.6.4 Target Customers
    • 5.6.5 Key Personal
    • 5.6.6 Analyst View
    • 5.6.7 Market Share, 2024
  • 5.7 Bushel Inc.
    • 5.7.1 Overview
    • 5.7.2 Top Products/Product Portfolio
    • 5.7.3 Top Competitors
    • 5.7.4 Target Customers
    • 5.7.5 Key Personal
    • 5.7.6 Analyst View
    • 5.7.7 Market Share, 2024
  • 5.8 Ag Leader Technology
    • 5.8.1 Overview
    • 5.8.2 Top Products/Product Portfolio
    • 5.8.3 Top Competitors
    • 5.8.4 Target Customers
    • 5.8.5 Key Personal
    • 5.8.6 Analyst View
    • 5.8.7 Market Share, 2024
  • 5.9 AgriWebb
    • 5.9.1 Overview
    • 5.9.2 Top Products/Product Portfolio
    • 5.9.3 Top Competitors
    • 5.9.4 Target Customers
    • 5.9.5 Key Personal
    • 5.9.6 Analyst View
    • 5.9.7 Market Share, 2024
  • 5.1 Conservis
    • 5.10.1 Overview
    • 5.10.2 Top Products/Product Portfolio
    • 5.10.3 Top Competitors
    • 5.10.4 Target Customers
    • 5.10.5 Key Personal
    • 5.10.6 Analyst View
    • 5.10.7 Market Share, 2024
  • 5.11 BASF
    • 5.11.1 Overview
    • 5.11.2 Top Products/Product Portfolio
    • 5.11.3 Top Competitors
    • 5.11.4 Target Customers
    • 5.11.5 Key Personal
    • 5.11.6 Analyst View
    • 5.11.7 Market Share, 2024
  • 5.12 Yara
    • 5.12.1 Overview
    • 5.12.2 Top Products/Product Portfolio
    • 5.12.3 Top Competitors
    • 5.12.4 Target Customers
    • 5.12.5 Key Personal
    • 5.12.6 Analyst View
    • 5.12.7 Market Share, 2024
  • 5.13 CropX Inc.
    • 5.13.1 Overview
    • 5.13.2 Top Products/Product Portfolio
    • 5.13.3 Top Competitors
    • 5.13.4 Target Customers
    • 5.13.5 Key Personal
    • 5.13.6 Analyst View
    • 5.13.7 Market Share, 2024
  • 5.14 Arable
    • 5.14.1 Overview
    • 5.14.2 Top Products/Product Portfolio
    • 5.14.3 Top Competitors
    • 5.14.4 Target Customers
    • 5.14.5 Key Personal
    • 5.14.6 Analyst View
    • 5.14.7 Market Share, 2024
  • 5.15 Valmont Industries, Inc.
    • 5.15.1 Overview
    • 5.15.2 Top Products/Product Portfolio
    • 5.15.3 Top Competitors
    • 5.15.4 Target Customers
    • 5.15.5 Key Personal
    • 5.15.6 Analyst View
    • 5.15.7 Market Share, 2024

6 Research Methodology

  • 6.1 Data Sources
    • 6.1.1 Primary Data Sources
    • 6.1.2 Secondary Data Sources
    • 6.1.3 Data Triangulation
  • 6.2 Market Estimation and Forecast

List of Figures

  • Figure 1: Data Management and Analysis Market for Agritech (by Scenario), $Million, 2024, 2028, and 2035
  • Figure 2: Global Data Management and Analysis Market for Agritech, 2024-2035
  • Figure 3: Global Market Snapshot, 2024
  • Figure 4: Global Data Management and Analysis Market for Agritech, $Million, 2024 and 2035
  • Figure 5: Data Management and Analysis Market for Agritech (by Application), $Million, 2024, 2028, and 2035
  • Figure 6: Data Management and Analysis Market for Agritech (by Solution), $Million, 2024, 2028, and 2035
  • Figure 7: Data Management and Analysis Market for Agritech Segmentation
  • Figure 8: Patent Filing Trend, by Country (January 2022-June 2025)
  • Figure 9: Patent Filing Trend, by Company (January 2022-June 2025)
  • Figure 10: Penetration of Digital Agriculture in Total Utilized Agricultural Land
  • Figure 11: Data Management and Analysis Market for Agritech, by Application, $Million, 2024, 2030, and 2035
  • Figure 12: Data Management and Analysis Market for Agritech, Precision Farming, Country-Wise, $Million, 2024
  • Figure 13: Data Management and Analysis Market for Agritech, Precision Farming, $Million, 2024-2035
  • Figure 14: Data Management and Analysis Market for Agritech, Forestry, Country-Wise, $Million, 2024
  • Figure 15: Data Management and Analysis Market for Agritech, Forestry, $Million, 2024-2035
  • Figure 16: Data Management and Analysis Market for Agritech, Livestock Management, Country-Wise, $Million, 2024
  • Figure 17: Data Management and Analysis Market for Agritech, Livestock Management, $Million, 2024-2035
  • Figure 18: Data Management and Analysis Market for Agritech, Aquaculture, Country-Wise, $Million, 2024
  • Figure 19: Data Management and Analysis Market for Agritech, Aquaculture, $Million, 2024-2035
  • Figure 20: Data Management and Analysis Market for Agritech, by Solution, $Million, 2024, 2030, and 2035
  • Figure 21: Data Management and Analysis Market for Agritech, Full-Stack Digital Farming Platforms, Country-Wise, $Million, 2024
  • Figure 22: Data Management and Analysis Market for Agritech, Full-Stack Digital Farming Platforms, $Million, 2024-2035
  • Figure 23: Data Management and Analysis Market for Agritech, OEM-Integrated Data Platforms, Country Wise, $Million, 2024
  • Figure 24: Data Management and Analysis Market for Agritech, OEM-Integrated Data Platforms, $Million, 2024-2035
  • Figure 25: Data Management and Analysis Market for Agritech, Agronomic Decision Support Suites, Country-Wise, $Million, 2024
  • Figure 26: Data Management and Analysis Market for Agritech, Agronomic Decision Support Suites, $Million, 2024-2035
  • Figure 27: Data Management and Analysis Market for Agritech, Precision Irrigation and Soil Health Management Platforms, Country-Wise, $Million, 2024
  • Figure 28: Data Management and Analysis Market for Agritech, Precision Irrigation and Soil Health Management Platforms, $Million, 2024-2035
  • Figure 29: Data Management and Analysis Market for Agritech, Remote Sensing and Imagery Analysis Suites, Country-Wise, $Million, 2024
  • Figure 30: Data Management and Analysis Market for Agritech, Remote Sensing and Imagery Analysis Suites, $Million, 2024-2035
  • Figure 31: Data Management and Analysis Market for Agritech, Farm ERP and Finance-Integrated Platforms, Country-Wise, $Million, 2024
  • Figure 32: Data Management and Analysis Market for Agritech, Farm ERP and Finance-Integrated Platforms, $Million, 2024-2035
  • Figure 33: Strategic Initiatives, January 2022-April 2025
  • Figure 34: Data Triangulation
  • Figure 35: Top-Down and Bottom-Up Approach
  • Figure 36: Assumptions and Limitations

List of Tables

  • Table 1: Market Snapshot
  • Table 2: Competitive Landscape Snapshot
  • Table 3: Software Used for Data Management and Analysis in Hyperlocal Monitoring
  • Table 4: Core Components of IoT-Enabled Sensor Networks
  • Table 5: Ag-Tech Software Platforms for Carbon Trading
  • Table 6: Key Capabilities of Data Management Software
  • Table 7: How Digital Technologies Help in Sustainability and Food Security
  • Table 8: Projected Changes in Pest and Disease Risks across Regions
  • Table 9: Software Trends for Digital Livestock Management
  • Table 10: Financial Challenges for Data Management Services in Digital Agriculture
  • Table 11: Latest Data Management Software Product Launches for Digital Agriculture
  • Table 12: Rules and Regulations Set by the Respective Governments and Related Incentives
  • Table 13: New Businesses in Data Analytics - Agritech
  • Table 14: Digital Aquaculture Value Chain
  • Table 15: Key Industry Players and their Product Portfolios
  • Table 16: Key Functions of OEM-Integrated Data Platforms and Impact on Digital Agriculture
  • Table 17: Popular Agronomic Decision Support Suites
  • Table 18: Popular and Trusted Software Tools in the Precision Irrigation Domain
  • Table 19: Popular and Trusted Software Tools in the Soil Health Monitoring Domain
  • Table 20: Popular Remote Sensing and Imagery Analysis Suites
  • Table 21: Popular Farm ERP and Finance-Integrated Platforms
  • Table 22: Data Management and Analysis Market for Agritech (by Region), $Million, 2024-2035
  • Table 23: North America Data Management and Analysis Market for Agritech (by Application), $Million, 2024-2035
  • Table 24: North America Data Management and Analysis Market for Agritech (by Solution), $Million, 2024-2035
  • Table 25: U.S. Data Management and Analysis Market for Agritech (by Application), $Million, 2024-2035
  • Table 26: U.S. Data Management and Analysis Market for Agritech (by Solution), $Million, 2024-2035
  • Table 27: Canada Data Management and Analysis Market for Agritech (by Application), $Million, 2024-2035
  • Table 28: Canada Data Management and Analysis Market for Agritech (by Solution), $Million, 2024-2035
  • Table 29: Mexico Data Management and Analysis Market for Agritech (by Application), $Million, 2024-2035
  • Table 30: Mexico Data Management and Analysis Market for Agritech (by Solution), $Million, 2024-2035
  • Table 31: Europe Data Management and Analysis Market for Agritech (by Application), $Million, 2024-2035
  • Table 32: Europe Data Management and Analysis Market for Agritech (by Solution), $Million, 2024-2035
  • Table 33: Germany Data Management and Analysis Market for Agritech (by Application), $Million, 2024-2035
  • Table 34: Germany Data Management and Analysis Market for Agritech (by Solution), $Million, 2024-2035
  • Table 35: France Data Management and Analysis Market for Agritech (by Application), $Million, 2024-2035
  • Table 36: France Data Management and Analysis Market for Agritech (by Solution), $Million, 2024-2035
  • Table 37: Russia Data Management and Analysis Market for Agritech (by Application), $Million, 2024-2035
  • Table 38: Russia Data Management and Analysis Market for Agritech (by Solution), $Million, 2024-2035
  • Table 39: Spain Data Management and Analysis Market for Agritech (by Application), $Million, 2024-2035
  • Table 40: Spain Data Management and Analysis Market for Agritech (by Solution), $Million, 2024-2035
  • Table 41: U.K. Data Management and Analysis Market for Agritech (by Application), $Million, 2024-2035
  • Table 42: U.K. Data Management and Analysis Market for Agritech (by Solution), $Million, 2024-2035
  • Table 43: Turkey Data Management and Analysis Market for Agritech (by Application), $Million, 2024-2035
  • Table 44: Turkey Data Management and Analysis Market for Agritech (by Solution), $Million, 2024-2035
  • Table 45: Rest-of-Europe Data Management and Analysis Market for Agritech (by Application), $Million, 2024-2035
  • Table 46: Rest-of-Europe Data Management and Analysis Market for Agritech (by Solution), $Million, 2024-2035
  • Table 47: Asia-Pacific Data Management and Analysis Market for Agritech (by Application), $Million, 2024-2035
  • Table 48: Asia-Pacific Data Management and Analysis Market for Agritech (by Solution), $Million, 2024-2035
  • Table 49: China Data Management and Analysis Market for Agritech (by Application), $Million, 2024-2035
  • Table 50: China Data Management and Analysis Market for Agritech (by Solution), $Million, 2024-2035
  • Table 51: Japan Data Management and Analysis Market for Agritech (by Application), $Million, 2024-2035
  • Table 52: Japan Data Management and Analysis Market for Agritech (by Solution), $Million, 2024-2035
  • Table 53: India Data Management and Analysis Market for Agritech (by Application), $Million, 2024-2035
  • Table 54: India Data Management and Analysis Market for Agritech (by Solution), $Million, 2024-2035
  • Table 55: Australia Data Management and Analysis Market for Agritech (by Application), $Million, 2024-2035
  • Table 56: Australia Data Management and Analysis Market for Agritech (by Solution), $Million, 2024-2035
  • Table 57: Indonesia Data Management and Analysis Market for Agritech (by Application), $Million, 2024-2035
  • Table 58: Indonesia Data Management and Analysis Market for Agritech (by Solution), $Million, 2024-2035
  • Table 59: Rest-of-Asia-Pacific Data Management and Analysis Market for Agritech (by Application), $Million, 2024-2035
  • Table 60: Rest-of-Asia-Pacific Data Management and Analysis Market for Agritech (by Solution), $Million, 2024-2035
  • Table 61: Rest-of-the-World Data Management and Analysis Market for Agritech (by Application), $Million, 2024-2035
  • Table 62: Rest-of-the-World Data Management and Analysis Market for Agritech (by Solution), $Million, 2024-2035
  • Table 63: South America Data Management and Analysis Market for Agritech (by Application), $Million, 2024-2035
  • Table 64: South America Data Management and Analysis Market for Agritech (by Solution), $Million, 2024-2035
  • Table 65: Middle East and Africa Data Management and Analysis Market for Agritech (by Application), $Million, 2024-2035
  • Table 66: Middle East and Africa Data Management and Analysis Market for Agritech (by Solution), $Million, 2024-2035
  • Table 67: Global Market Share, 2024