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农业技术资料管理和分析市场 - 全球和区域分析：资料收集方法和支援技术、应用、解决方案和区域 - 分析和预测（2025-2035 年）
市场调查报告书
商品编码
1802932

农业技术资料管理和分析市场 - 全球和区域分析：资料收集方法和支援技术、应用、解决方案和区域 - 分析和预测（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个工作天内

价格

农业技术的数据管理和分析市场正在快速成长，主要受永续性和粮食安全日益增长的需求所推动。

推动市场成长的另一个关键因素是气候变迁所带来的风险。害虫、杂草和不稳定的天气条件带来的风险使得数位化农业不再是一种选择，而是农业领域的必需品，这直接推动了市场的发展。市场的高成长也归因于应用组合的多样化等因素。除了农业之外，最明显的应用是数位工具在畜牧管理的应用。例如，总部位于美国的农业技术公司 Precision Livestock Technologies 于 2024 年推出了一款基于人工智慧的饲料摄取量监测解决方案，旨在藉助预测分析来改善牛的营养策略。

主要市场统计数据
预测期 2025-2035
2025年评估 35.74亿美元
2035年的预测 102.43亿美元
复合年增长率 11.1%

然而，即使应用数量不断增加，某些因素仍在阻碍市场成长，例如高昂的前期成本、小型农场的投资回报率不明确、标准碎片化以及互通性问题。缺乏普遍接受的数据通讯协定和标准，导致设备之间难以相互通讯。在政府的支持以及农业技术领域私人机构的技术开拓努力下，市场正应对这些挑战。

市场概览

收益到 2035 年，农业技术数据管理和分析市场规模将从 2024 年的 32.015 亿美元增至 102.43 亿美元，预测期内（2025-2035 年）的复合年增长率为 11.10%。随着农民、相关企业和政策制定者寻求提高生产力、提高资源效率和确保粮食生产的永续性，农业技术的数据管理和分析已成为全球农业转型的关键推动因素。该产业正在利用人工智慧、机器学习、物联网感测器、卫星图像和云端基础等先进技术来收集、处理和分析大量的农场和供应链数据。这使相关人员能够做出数据主导的决策，从而提高作物产量、减少投入浪费并降低与天气波动、病虫害和市场波动相关的风险。

对产业的影响

农业技术数据管理和分析市场正在重塑农业产业，将决策从基于经验的判断转变为依证情报。透过整合多种资料来源，从土壤湿度感测器和无人机影像到卫星天气预报和市场价格信息，这些平台使农民和农业相关企业能够以前所未有的精度运作。结果是，产量预测、投入优化和风险规避得到改善，在减少环境影响的同时，实现了可衡量的生产力提升。

最大的影响之一是资源效率。人工智慧主导的变数灌溉技术 (VRT) 建议和预测性灌溉调度正在帮助农民实现化肥、农药和水资源使用量两位数的减少，这与永续性目标和法规合规要求相一致。新兴市场的小农户正在利用行动优先的分析平台获取农艺建议，从而提高他们的韧性和市场准入率。

市场区隔:

细分一：按应用

  • 精密农业
  • 林业
  • 牲畜管理
  • 水产养殖

精密农业引领市场（依应用）

精密农业超越了资料管理和分析的其他应用，甚至超越了其他类型的农业，这其中有几个重要的原因。精密农业利用GPS、物联网和遥感探测，精准施用水、肥料、农药等投入，从而减少浪费并提高效率。自动化决策系统最大限度地减少了人工干预和人为错误。位置作物管理（SSCM）使农民能够在不扩大土地使用的情况下提高每公顷产量。它还能减少排放、土壤侵蚀、碳排放和用水量，从而应对气候变迁和土地劣化等关键问题。

该领域的技术发展也巩固了其领先地位：2025年，大疆巴西公司推出了其软体产品“软体无人机驱动农业”，展示了基于无人机的作物喷洒、测绘和分析功能的扩展。该产品在巴西2025年农业展（Agrishow 2025）上亮相，重点展示了用于数位化田间作业的新型软体无人机整合技术。

细分 2：按解决方案

  • 全端数位农业平台
  • OEM整合资料平台
  • 农学决策支援套件
  • 精准灌溉与土壤健康管理平台
  • 遥感探测和影像分析套件
  • 农场ERP与财务整合平台

全端数位农业平台占据市场主导地位（按解决方案）

全端数位农业平台在全球范围内需求旺盛，因为它们提供端到端解决方案，整合了从数据收集和农艺分析到农场运营、投入品采购、供应链和市场联繫等方方面面。与单点数位农业解决方案（例如简单的天气应用程式或产量预测工具）不同，全端平台为农业价值链上的不同相关人员提供了一个无缝、扩充性且可行的生态系统。它们是一站式解决方案，集精密农业、金融工具、咨询、投入品采购、供应链管理和农产品行销于一体，减少了技术分散。所有农场运作（土壤健康、天气、作物阶段、机械设备和市场价格）都透过单一资讯来源连接起来，从而改善了即时决策。

许多农业相关企业正在将此解决方案融入其农业技术中。 Corteva Agriscience 的 Granular Insights 是一款农场管理软体 (FMS)，旨在增强农业营运的收益追踪。它帮助种植者和顾问在规划、种植和田间分析方面进行协作。借助卫星影像、视觉化分析和历史数据等功能，农民​​可以更了解产量表现和预测。

细分3：按地区

  • 北美洲
  • 欧洲
  • 亚太地区
  • 其他地区

北美引领市场（按地区）

北美引领市场，因为该地区对永续农业的需求是农业应用数位技术的主要驱动力。对资源保护和粮食安全的日益关注，以及对气候适应能力的需求，也推动该地区市场的发展。

北美正在迅速将数位技术应用于农业，美国处于领先地位。这得归功于美国政府针对气候智慧型农业实践的倡议，例如「气候智慧型作物伙伴关係」 。美国也在该领域投入巨资。例如，2022 年，美国政府为数位农业计划拨款约 31 亿美元。加拿大政府也推出了加拿大农业食品自动化和智慧网路 (CAAIN)，该计画支援人工智慧、机器人、物联网和智慧农业数位平台。政府还在数位农业方面投资了约 4,950 万美元。墨西哥数位农业的快速成长也受到政府措施和资源优化需求的推动。该国于 2024 年启动了其农业科技计画。

农业技术数据管理和分析市场的最新趋势

  • 2022年，BASF将Xarvio Field Manager整合到部分农场运作。此次整合是BASF扩大其园艺领域数位化产品组合的更广泛策略的一部分，尤其是在2022年收购Horta的决策支援系统（DSS）和植物生长模型之后。
  • 2025 年初，BASF推出了 Xarvio 水果和蔬菜现场经理，目标客户是欧洲和土耳其的葡萄酒和鲜食葡萄生产商。
  • 2025 年 8 月，英国新兴企业Spotta 改造了最初为饭店设计的害虫监测物联网感测器，以即时检测椰枣种植园中的红棕象鼻虫侵扰情况。

本报告按应用和解决方案对农业技术数据管理和分析市场进行了深入分析。报告涵盖一系列解决方案，包括全端数位精密农业平台、OEM整合资料平台、农学决策支援套件、精准灌溉和土壤健康管理平台、遥感探测和影像分析套件，以及涵盖精准农业、林业、畜牧业管理和水产养殖等多个应用领域的农场ERP和财务整合平台。本报告将帮助创新者识别其现有产品中的不足，并调整其产品蓝图，以提供差异化、扩充性且符合监管环境的解决方案。

农业技术数据管理和分析市场正在快速发展，领先企业正在扩大产能、建立策略联盟并开展试点项目，以巩固其市场地位。本报告追踪这些发展动态，并深入分析主要企业如何进入或扩展应用领域。本报告将协助行销团队识别高成长领域，根据最终用户的期望调整价值提案，并根据区域动态和技术准备制定有针对性的打入市场策略。

它提供了深入的竞争格局，并根据产品供应、创新管道、伙伴关係和扩张计划对关键参与者进行了分析。竞争基准化分析使读者能够评估每家公司在产品类型和应用领域中的地位。

主要市场参与企业和竞争对手的摘要

农业技术的数据管理和分析市场正获得强劲发展，这得益于农业领域加速采用精密农业、物联网监测和人工智慧决策支援工具。 2023年至2025年期间，该领域将整合多源资料流，包括土壤感测器、卫星影像、天气预报和供应链输入，并将其整合到整合平台中，为农民和农业相关企业提供即时洞察。

2025年3月，Climate LLC（拜耳）推出了其下一代Climate FieldView分析模组，该模组将机器学习主导的产量预测与局部的病虫害风险模型相结合，帮助农民在种植季做出更准确的决策。 2025年2月，TELUS Agriculture宣布推出一个完全整合的从农场到食​​品的供应链数据平台，该平台将生产分析与下游可追溯性相结合，以满足生产力和合规性需求。 2025年1月，Semios与Agworld合作，扩展了其果园和葡萄园分析套件，整合了高价值作物的即时病虫害捕获数据和水分胁迫监测。

该市场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)

目录

执行摘要

第一章市场：产业展望

  • 市场动态
  • 趋势
    • 多源资料整合和AI/ML分析
    • 用于超当地语系化监控的物联网和边缘智慧感测器网络
    • LLM决策系统及SAGDA介绍
  • 市场驱动因素
    • 碳市场的成长和对检验排放数据的需求
    • 将农业数据与金融和保险服务结合
    • 气候变迁风险日益增加
    • 扩大全球畜禽管理
  • 市场挑战
    • 小农户前期成本高，投资收益不明确
    • 跨平台资料标准分散和互通性问题
    • 来自第三方整合和嵌入式技术的不可见资料外部性
  • 市场机会
    • 使用即时生物识别为牲畜建立人工智慧营养模型
    • 技术开发
    • 农业数据创新协作研发发展系统
  • 监管和政策影响分析
  • 专利分析
    • 专利申请趋势（按国家）
    • 专利申请趋势（按公司）
  • Start-Ups概况
  • 目前招募状况

第二章 应用

  • 使用摘要
    • 农业技术数据管理与分析市场（按应用）

第三章 产品

  • 产品摘要
    • 农业技术数据管理和分析市场（按解决方案）

第四章 区域

  • 区域摘要
  • 北美洲
    • 区域市场
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 区域市场
    • 德国
    • 法国
    • 俄罗斯
    • 西班牙
    • 英国
    • 土耳其
    • 其他的
  • 亚太地区
    • 区域市场
    • 中国
    • 日本
    • 印度
    • 澳洲
    • 印尼
    • 其他的
  • 其他地区
    • 区域市场
    • 南美洲
    • 中东和非洲

5. 市场 - 竞争基准化分析与公司简介

  • 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.

第六章调查方法

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