农业人工智慧市场：按产品、应用、技术、部署模式和最终用户划分－2025-2032年全球预测

预计到 2032 年，农业人工智慧市场规模将达到 145.5 亿美元，复合年增长率为 23.25%。

关键市场统计数据
基准年 2024	27.3亿美元
预计年份：2025年	33.8亿美元
预测年份 2032	145.5亿美元
复合年增长率 (%)	23.25%

感测器、分析平台和服务融合如何再形成农业运营，并推动农业领域基于数据的可操作决策

人工智慧正在重塑农业系统，它将分散的数据流转化为精准及时的行动，从而改善作物健康、提高资源利用效率并增强供应链透明度。农民和相关企业正在将摄影机、无人机硬体和感测器与分析平台和农场管理系统集成，以便及早发现病害、优化灌溉并根据植物的实际需求调整投入。同时，咨询、实施和支援服务正在弥合实验室能力与田间部署之间的差距，使决策支援系统能够将模型输出转化为可操作的方法。

从传统的季节性、经验式管理向持续性、资料主导管理的转变，不仅需要技术，还需要农艺师、农场经理和服务供应商的工作流程重组和新技能。为此，服务供应商正在开发端到端的解决方案，将硬体、软体和专业知识结合，以加速这项转变的实施。此外，边缘运算和混合部署模式可以降低延迟并保护敏感的农场数据，而云端基础的解决方案则支援进阶分析和跨农场基准测试。因此，价值链上的相关人员在选择合作伙伴和技术时，都将互通性、易用性和可证明的投资报酬率作为优先考虑因素。

儘管机会庞大，但由于网路连线不均、农场规模差异以及法规环境不同，其普及程度将有所差异。因此，策略投资应专注于模组化、可扩展的服务模式以及培训项目，从而使大中小型农场都能平等地使用人工智慧主导的工具。

新技术、经营模式和基础设施的转变将共同加速人工智慧主导农业的普及，同时重塑价值创造。

随着人工智慧技术从试点阶段走向实际应用，农业格局正发生许多变革性变化。精准监测如今利用无人机影像和机器视觉技术，结合光学感测器和热感相机，提供持续的情境察觉，进而实现病害检测、灌溉管理和植物层面的养分优化。同时，由人工智慧演算法和机器学习模型驱动的预测分析整合了天气、土壤和历史产量数据，以改善作物建模并提高产量预测的准确性。

机器人和自动化技术，包括自动收割机和自动驾驶拖拉机，解决了劳动力短缺问题，提高了营运的一致性；而物流优化和可追溯性系统则连接了生产和消费供应链。这些技术进步与经营模式的转变相辅相成。供应商越来越多地将硬体、软体和咨询服务捆绑销售，从而降低了用户的使用门槛。此外，部署选项——云端、混合和本地部署——也在根据数据主权问题和连接实际情况不断演变，这影响决策支援系统在农场的整合方式。

最终，这种转变将促进一个更具韧性和永续的农业生态系统，但同时也需要更严格的数据共用标准、对农村连接的投资，以及技术提供者、农化公司、研究机构和农民之间的合作，以负责任地扩大影响力。

2025 年关税调整将从根本上改变采购、供应商风险管理以及硬体投资与服务主导部署策略之间的平衡

2025年关税的实施对设备采购和供应链结构产生了影响，尤其对摄影机、无人机硬体、感测器和其他关键零件的采购造成了显着衝击。在许多情况下，进口关税的增加推高了硬体的到岸成本，迫使采购团队评估替代供应商、调整部署计划并修改硬体规格，以平衡效能和成本。因此，一些公司加快了在地化进程，投资建立国内生产能力，并与区域零件製造商建立策略伙伴关係关係，以降低贸易摩擦带来的风险。

同时，服务和软体要素也出现了分化。咨询、实施和支援模式变得更具吸引力，因为它们提供了一种推迟资本支出、同时透过託管服务释放能力的方法。以云端和混合部署方式交付的软体透过将软体价值与硬体采购脱钩，缓解了关税带来的部分衝击，但互通性和认证流程需要新的关注点来维持性能标准。对于所有相关人员而言，关税凸显了弹性供应链、多元化筹资策略以及能够应对关税转嫁和汇率波动的外汇条款的重要性。

因此，那些积极主动地评估供应商风险、投资模组化硬体设计并加强与本地合作伙伴关係的企业，更有能力维持部署并跟上创新步伐。此类调整也为服务主导成长以及能够提供整合解决方案以应对或缓解关税相关成本压力的公司创造了机会。

详细的细分洞察揭示了产品、应用、技术、部署选项和最终用户需求如何定义不同的采用路径和价值提案。

市场区隔洞察显示，技术和服务的采用路径因产品、应用、技术、部署类型和最终用户特征而异。硬体（例如摄影机、无人机硬体和感测器）在提供原始观测数据方面仍然至关重要，而服务则涵盖咨询、实施和支持，从而将数据转化为农场层面的行动和长期营运变革。软体类别（例如分析平台、决策支援系统和农场管理系统）提供了分析基础架构，整合不同的输入并实现工作流程自动化。

透过精准的细分，明确了应用场景和投资重点。作物监测包括病害检测、灌溉管理和养分管理，而畜牧管理则着重于饲料优化和健康监测。土壤健康分析涵盖土壤分析和湿度监测，而供应链改善则着重于物流优化和可追溯性。产量预测结合了作物模型和天气预报，以帮助将种植和收穫决策与风险管理框架相协调。

在技​​术层面，无论是固定翼无人机还是旋翼无人机，都能实现快速区域覆盖和目标资料收集；而利用光学感测器和热感成像仪的机器视觉技术则能增强植物层面的诊断能力。预测分析利用人工智慧演算法和机器学习模型将数据转化为预测和建议，而机器人技术，例如自动收割机和自动驾驶拖拉机，则能解决劳动密集型任务。在云端、混合式环境和本地部署环境之间的选择反映了延迟、控制和规模之间的权衡。最后，涵盖农化公司、大型农场、研究机构以及中小农场的终端用户群凸显了不同的需求。农化公司优先考虑产品功效检验和可追溯性，大型农场重视整合和规模，研究机构重视实验和精准性，而小型农场则需要经济高效、易于使用且能带来明显营运效益的解决方案。

美洲、欧洲、中东和非洲以及亚太地区在政策、基础建设和农业结构上的差异，如何驱动不同的技术采纳和伙伴关係模式？

美洲、欧洲、中东和非洲以及亚太地区的区域动态正在影响技术选择、伙伴关係建立和服务交付的优先事项。在美洲，重点通常在于快速商业部署、与大规模机械化作业的整合，以及透过使用先进的预测分析和自主机械来提高效率。北美和南美的营运商则可能寻求垂直整合的解决方案，将感测器、分析平台和农场管理系统捆绑在一起，以优化田间决策和供应链可追溯性。

在欧洲、中东和非洲，法律规范和永续性目标日益指南各项措施的实施，从而推动了对能够展示投入减少和环境效益的决策支援系统的需求。结合云端分析和本地边缘处理的混合部署模式，正帮助该地区在资料主权要求和网路连接不稳定之间取得平衡。在整个全部区域，研究机构和政策主导项目正积极开展机器视觉和机器人应用试点项目，并检验土壤健康和养分管理通讯协定。

亚太地区正迅速接受技术创新，这主要得益于农场规模的多样化以及对自动化和遥感探测投资的不断增长。在该地区的许多市场，旋翼无人机、热感相机和人工智慧演算法正透过服务导向型模式和低成本硬体的调整，适应小农户的实际情况。总体而言，区域策略必须考虑到不同农场（包括大型农场和小型农场）之间基础设施、资料管治实务和商业性优先事项的差异。

策略性产业布局和竞争动态表明，平台化、伙伴关係和以结果为导向的服务如何决定商业性领导地位和规模。

该领域的企业策略正趋向于平台化、垂直整合和策略伙伴关係，将硬体专长与软体分析和现场服务结合。大型企业致力于建立生态系统，将感测器和摄影机与分析平台和决策支援系统整合，同时提供咨询、实施和支援服务以确保成功。专注于特定技术（例如机器视觉、人工智慧演算法和协作机器人）的新兴企业，经常与成熟企业合作，以扩展测试环境和商业部署。

併购和商业联盟是快速获取能力的常用途径，尤其是在需要昂贵硬体开发或专用机器人技术的领域。同时，软体公司正透过伙伴关係实现差异化，这些合​​作伙伴关係能够建立资料模型、API优先架构，并与农场管理系统整合。针对大型农场、农化公司、研究机构以及中小农场等终端用户量身定制的策略，有助于企业设计满足多样化需求的定价和交付模式。能够提供检验的结果、透明的绩效指标和强有力的实施支持的企业，将被定位为值得信赖的长期合作伙伴。

总而言之，竞争优势将越来越取决于提供端到端解决方案、提供强大的售后支援以及利用伙伴关係关係来加快价值实现速度，同时降低生产商和供应链相关人员的实施风险的能力。

为高阶主管提供可操作的策略重点，以协调产品蓝图、供应链弹性和服务模式，从而加速人工智慧在农业领域的实际应用。

产业领导者应优先采取一系列合作行动，将技术潜力转化为营运和商业性价值。首先，投资于模组化硬体设计和供应商多元化，以实现摄影机、无人机组件和感测器的逐步升级，同时降低贸易中断带来的风险。其次，采用软体优先的互通性策略，使分析平台、决策支援系统和农场互通性系统能够透过开放API和标准化格式交换数据，从而支援多供应商部署。

第三，我们将拓展服务能力，包括咨询、实施和支持，以加速技术推广应用，尤其是在需要指导和便利培训的中小农场。第四，我们将专注于试点项目，聚焦病害检测、灌溉管理和产量预测等高影响力应用，以展示可衡量的成果并培养内部推广者。第五，我们将加强人才队伍建设，为农艺师和技术人员提供人工智慧模型解读、感测器校准和机器人操作的培训。

最后，积极与监管机构和标准制定机构合作，建构资料管治框架，确保可追溯性系统符合新兴的永续性要求。透过调整产品蓝图以契合这些优先事项，并相应地调整资本和人才投资，企业可以提高韧性，缩短部署週期，并从向人工智慧农业的转型中获得更多价值。

综合运用多源研究设计，结合一手访谈、技术评论和情境分析，得出关于农业人工智慧的可操作和检验的见解。

调查方法采用多源资料方法，确保研究的严谨性、可重复性和对决策者的相关性。主要研究包括对农艺师、技术领导者、农场经理和供应链专业人员进行结构化访谈，以了解他们使用摄影机、无人机、感测器、分析平台和机器人的实际经验。这些访谈为定性分析提供了信息，分析了技术的采用驱动因素、障碍和服务模式偏好。次要研究包括同行评审文献、专利申请、标准文件和监管指南，以检验结论并为技术进步提供背景资讯。

分析方法包括跨案例比较、技术成熟度评估和情境分析，旨在探索不同基础设施和政策条件下的各种采用路径。资料检验是透过将访谈内容与已记录的案例研究和供应商技术规范进行三角验证来实现的。出于伦理考虑，我们谨慎处理了专有信息，并应要求对相关人员进行匿名处理。我们承认调查方法存在一些局限性，例如潜在的地域抽样偏差以及人工智慧演算法和硬体能力的不断发展，但这些问题已透过持续的审查和专家反馈机制得到解决。

总体而言，该调查方法兼顾了深度和广度，将实地观点与技术分析相结合，从而为整个农业价值链的相关人员提供既实用又具有战略意义的见解。

策略摘要：如何将整合人工智慧技术、弹性供应链和服务主导模式结合起来，从而在农业领域实现可衡量的生产力和永续性提升。

总之，人工智慧正在推动农业从零散干预转向持续的数据主导管理，并在作物监测、牲畜管理、土壤健康、供应链可追溯性和产量预测等方面带来实际效益。无人机、机器视觉、预测分析和机器人技术的融合，使得农业运作更加精准、高效和稳健，而混合部署和服务主导模式则能够应对连接性和农场规模方面的差异。然而，要充分发挥这些潜力，需要对互通性、劳动力能力和供应链韧性进行有针对性的投资。

此外，近期贸易政策的变化凸显了采取适应性筹资策略和加强区域伙伴关係以维持部署动能的重要性。为取得成功，相关人员必须将技术蓝图与明确的成果指标结合，优先考虑以中小农场用户为中心的设计，并建立一个能够加速检验和规模化推广的协作生态系统。透过专注于可证明的营运效益并透过整合服务降低采用门槛，各组织可以将人工智慧创新转化为永续的生产力、环境管理和商业性价值，并应用于不同的农业领域。

目录

第一章：序言

第二章调查方法

第三章执行摘要

第四章 市场概览

第五章 市场洞察

• 人工智慧驱动的精准灌溉系统可根据土壤湿度和天气预报优化用水量。
• 在无人机上应用机器学习演算法，以实现作物胁迫和病虫害的早期检测
• 部署电脑视觉机器人进行自动化和选择性收割
• 它结合了基于人工智慧的预测分析和天气数据，以预测最佳种植时间。
• 利用深度学习模型结合基因组和表型资料加速作物育种
• 推出基于区块链的AI平台，用于透明的农业供应链管理和可追溯性。

第六章：美国关税的累积影响，2025年

第七章：人工智慧的累积影响，2025年

8. 农业人工智慧市场（依产品/服务分类）

• 硬体
  • 相机
  • 无人机硬体
  • 感应器
• 服务
  • 咨询
  • 执行
  • 支援
• 软体
  • 分析平台
  • 决策支援系统
  • 农场管理系统

第九章 按应用领域分類的农业人工智慧市场

• 作物监测
  • 疾病检测
  • 灌溉管理
  • 营养管理
• 畜牧管理
  • 饲料优化
  • 健康监测
• 土壤健康
  • 土壤分析
  • 土壤湿度监测
• 供应链管理
  • 物流最佳化
  • 可追溯性
• 产量预测
  • 作物建模
  • 天气预报

第十章 科​​技在农业市场的人工智慧应用

• 无人机
  • 固定翼飞机
  • 旋翼叶片
• 机器视觉
  • 光学感测器
  • 热感像仪
• 预测分析
  • 人工智慧演算法
  • 机器学习模型
• 机器人技术
  • 自动收割机
  • 自动拖拉机

第十一章 人工智慧在农业市场的部署模式

• 云
• 杂交种
• 本地部署

第十二章 最终用户在农业市场的人工智慧应用

• 农药公司
• 大型农场
• 研究所
• 中小农场

第十三章 各地区农业人工智慧市场

• 美洲
  • 北美洲
  • 拉丁美洲
• 欧洲、中东和非洲
  • 欧洲
  • 中东
  • 非洲
• 亚太地区

第十四章 农业人工智慧市场（按群体划分）

• ASEAN
• GCC
• EU
• BRICS
• G7
• NATO

第十五章 各国农业市场人工智慧应用

• 美国
• 加拿大
• 墨西哥
• 巴西
• 英国
• 德国
• 法国
• 俄罗斯
• 义大利
• 西班牙
• 中国
• 印度
• 日本
• 澳洲
• 韩国

第十六章 竞争格局

• 2024年市占率分析
• FPNV定位矩阵，2024
• 竞争分析
  • Deere & Company
  • Bayer AG
  • International Business Machines Corporation
  • Trimble Inc.
  • CNH Industrial NV
  • BASF SE
  • Syngenta AG
  • Farmers Edge Limited
  • Yara International ASA
  • Taranis Inc.

The Artificial Intelligence in Agriculture Market is projected to grow by USD 14.55 billion at a CAGR of 23.25% by 2032.

KEY MARKET STATISTICS
Base Year [2024]	USD 2.73 billion
Estimated Year [2025]	USD 3.38 billion
Forecast Year [2032]	USD 14.55 billion
CAGR (%)	23.25%

How converging sensors, analytics platforms, and services are reshaping farm operations and driving practical data-driven decision making across agriculture

Artificial intelligence is reshaping agricultural systems by converting dispersed data streams into precise, timely actions that improve crop health, resource efficiency, and supply chain transparency. Farmers and agribusinesses increasingly integrate cameras, drone hardware, and sensors with analytics platforms and farm management systems to detect disease earlier, optimize irrigation, and align inputs with measured plant needs. At the same time, consulting, implementation, and support services bridge the gap between laboratory capabilities and field-scale deployment, enabling decision support systems to translate model outputs into operational practices.

Transitioning from traditional seasonal heuristics to continuous, data-driven management requires not only technology but also retooled workflows and new skills among agronomists, farm managers, and service providers. In response, service providers are developing end-to-end offerings that combine hardware, software, and human expertise to accelerate adoption. Moreover, edge computing and hybrid deployment modes reduce latency and protect sensitive farm data, while cloud-based solutions enable advanced analytics and cross-farm benchmarking. As a result, stakeholders across the value chain are prioritizing interoperability, ease of use, and demonstrable ROI when selecting partners and technologies.

While opportunities are substantial, adoption is uneven due to uneven connectivity, variable farm scales, and differing regulatory environments. Therefore, strategic investments should focus on modularity, scalable service models, and training programs that democratize access to AI-driven tools for both large operations and small and medium farms.

Emerging technological, business model, and infrastructure shifts that collectively accelerate adoption of AI-driven agriculture while reshaping value creation

Several transformative shifts are redefining the agricultural landscape as AI technologies move from pilots to operational deployments. Precision monitoring now leverages drone-based imagery and machine vision using optical sensors and thermal cameras to provide continuous situational awareness, enabling disease detection, irrigation management, and nutrient optimization at the plant level. Concurrently, predictive analytics powered by AI algorithms and machine learning models synthesizes weather, soil, and historical yield data to improve crop modeling and enhance yield prediction accuracy.

Robotics and automation, including automated harvesters and autonomous tractors, are addressing labor constraints and improving task consistency, while logistics optimization and traceability systems connect production to consumer-facing supply chains. These technological advances are complemented by shifts in business models: vendors increasingly bundle hardware, software, and consulting services to reduce friction for adopters. Moreover, deployment choices-cloud, hybrid, or on premise-are evolving based on data sovereignty concerns and connectivity realities, and they influence how decision support systems are integrated on the farm.

Ultimately, these shifts foster a more resilient and sustainable agriculture ecosystem, but they also require stronger standards for data sharing, investment in rural connectivity, and collaborative pathways between technology providers, agrochemical companies, research institutes, and farm operators to scale impact responsibly.

How 2025 tariff shifts fundamentally altered procurement, supplier risk management, and the balance between hardware investments and service-led adoption strategies

The introduction of tariffs in 2025 affected equipment procurement and supply chain configurations, with notable implications for the sourcing of cameras, drone hardware, sensors, and other critical components. In many cases, increased import duties raised the landed cost of hardware, prompting procurement teams to evaluate alternative suppliers, adjust deployment timelines, or re-specify hardware that balances performance with cost. As a consequence, some organizations accelerated localization efforts, spurring investments in domestic manufacturing capacity and strategic partnerships with regional component producers to reduce exposure to trade friction.

At the same time, services and software elements experienced different dynamics. Consulting, implementation, and support models became more attractive because they offered ways to defer capital expenditure while unlocking capabilities through managed services. Software delivered via cloud or hybrid deployment modes mitigated some tariff-induced disruptions by decoupling software value from hardware sourcing, although interoperability and certification processes required renewed focus to maintain performance standards. Across stakeholders, the tariffs underscored the importance of resilient supply chains, diversified sourcing strategies, and contractual clauses that address tariff pass-through and currency volatility.

Consequently, organizations that proactively mapped supplier risk, invested in modular hardware designs, and strengthened relationships with regional partners were better positioned to sustain deployments and preserve timelines for innovation. These adaptive measures also created opportunities for service-led growth and for firms capable of offering integrated solutions that absorb or mitigate tariff-related cost pressures.

Detailed segmentation insights revealing how offerings, applications, technologies, deployment choices, and end-user needs define distinct adoption pathways and value propositions

Insight into market segmentation reveals distinct pathways for technology and service diffusion, driven by offering, application, technology, deployment mode, and end-user characteristics. Based on offering, hardware remains critical where cameras, drone hardware, and sensors deliver raw observational data, while services-spanning consulting, implementation, and support-enable translation of that data into farm-level action and long-term operational change. Software categories, including analytics platforms, decision support systems, and farm management systems, provide the analytic backbone that integrates heterogeneous inputs and automates workflows.

Application-focused segmentation clarifies use cases and investment priorities: crop monitoring encompasses disease detection, irrigation management, and nutrient management, whereas livestock management emphasizes feed optimization and health monitoring. Soil health analytics range from soil analysis to moisture monitoring, and supply chain improvements concentrate on logistics optimization and traceability. Yield prediction combines crop modeling with weather forecasting to help align planting and harvest decisions with risk management frameworks.

From a technology perspective, drones-whether fixed wing or rotary wing-enable rapid area coverage and targeted data collection, while machine vision utilizing optical sensors and thermal cameras enhances plant-level diagnostics. Predictive analytics leverages AI algorithms and machine learning models to transform data into forecasts and recommendations, and robotics such as automated harvesters and autonomous tractors address labor-intensive tasks. Deployment choices across cloud, hybrid, and on premise environments reflect trade-offs among latency, control, and scale. Finally, end-user segmentation spanning agrochemical companies, large farms, research institutes, and small and medium farms highlights how needs differ: agrochemical firms prioritize product efficacy validation and traceability, large farms focus on integration and scale, research institutes emphasize experimentation and accuracy, and smaller operations require cost-effective, user-friendly solutions that deliver clear operational benefits.

How regional policy, infrastructure, and farm structure differences across the Americas, Europe Middle East & Africa, and Asia-Pacific drive distinct technology adoption and partnership models

Regional dynamics shape priorities for technology selection, partnership formation, and service delivery across the Americas, Europe, Middle East & Africa, and Asia-Pacific. In the Americas, emphasis often falls on rapid commercial deployment, integration with large-scale mechanized operations, and the use of advanced predictive analytics and autonomous machinery to drive efficiency. North and South American operators frequently pursue vertically integrated solutions that bundle sensors, analytics platforms, and farm management systems to optimize field-level decision making and supply chain traceability.

In Europe, Middle East & Africa, regulatory frameworks and sustainability targets increasingly guide adoption, reinforcing the need for decision support systems that can demonstrate reduced input use and verified environmental outcomes. Here, hybrid deployment models that combine cloud analytics with on-premise edge processing help reconcile data sovereignty requirements and variable connectivity. Across the region, research institutes and policy-driven programs play an active role in piloting machine vision and robotics applications, and in validating soil health and nutrient management protocols.

Asia-Pacific exhibits rapid innovation adoption driven by diverse farm sizes and growing investments in automation and remote sensing. In many markets within this region, rotary wing drones, thermal cameras, and AI algorithms are being adapted to smallholder contexts through service-oriented models and low-cost hardware variants. Overall, regional strategies must account for varied infrastructure, data governance norms, and the differing commercial priorities of large farms compared with small and medium farms, while harmonizing standards to enable cross-border collaboration.

Strategic industry plays and competitive dynamics showing how platformization, partnerships, and outcome-focused services determine commercial leadership and scale

Company strategies in this sector are converging around platformization, vertical integration, and strategic partnerships that combine hardware expertise with software analytics and field-level services. Leading organizations focus on assembling ecosystems that pair sensors and cameras with analytics platforms and decision support systems, while simultaneously offering consulting, implementation, and support to ensure outcomes. Startups specializing in specific technologies such as machine vision, AI algorithms, or robotics frequently collaborate with established players to scale testing environments and commercial deployments.

Mergers and acquisitions and commercial alliances are common pathways to gain capabilities rapidly, especially in areas requiring expensive hardware development or specialized robotics. At the same time, software firms are differentiating through data models, API-first architectures, and partnerships that enable integration with farm management systems. End-user-focused strategies-tailored for large farms, agrochemical companies, research institutes, and small and medium farms-help firms design pricing and delivery models that meet diverse needs. Firms that can deliver validated outcomes, transparent performance metrics, and strong implementation support position themselves as trusted partners for long-term engagements.

In sum, competitive advantage increasingly depends on the ability to deliver end-to-end solutions, to provide robust post-sale support, and to leverage partnerships that accelerate time to value while reducing adoption risk for growers and supply chain stakeholders.

Actionable strategic priorities for executives to align product roadmaps, supply resiliency, and service models to accelerate practical AI adoption in agriculture

Industry leaders should prioritize a set of coordinated actions to convert technological potential into operational and commercial value. First, invest in modular hardware designs and supplier diversification to reduce exposure to trade disruptions while enabling phased upgrades of cameras, drone components, and sensors. Second, adopt a software-first interoperability strategy that ensures analytics platforms, decision support systems, and farm management systems can exchange data through open APIs and standardized formats to support multi-vendor deployments.

Third, expand service capabilities-consulting, implementation, and support-to accelerate adoption, especially among small and medium farms that require guided onboarding and accessible training. Fourth, focus pilot programs on high-impact applications such as disease detection, irrigation management, and yield prediction to demonstrate measurable outcomes and build internal champions. Fifth, bolster workforce development through targeted training for agronomists and technicians on AI model interpretation, sensor calibration, and robotic operations, thereby reducing operational risk and increasing adoption velocity.

Finally, engage proactively with regulators and standards bodies to shape data governance frameworks and ensure traceability systems align with emerging sustainability mandates. By aligning product roadmaps with these priorities and coordinating capital and talent investments accordingly, organizations can improve resilience, shorten deployment cycles, and capture more value from the transition to AI-enabled agriculture.

Comprehensive multi-source research design integrating primary interviews, technical review, and scenario analysis to produce actionable and validated agricultural AI insights

The research methodology combines a multi-source approach to ensure rigor, reproducibility, and relevance for decision-makers. Primary research included structured interviews with agronomists, technology leaders, farm managers, and supply chain professionals to capture firsthand experiences with cameras, drones, sensors, analytics platforms, and robotics. These interviews informed qualitative analysis of adoption drivers, implementation barriers, and service model preferences. Secondary research included peer-reviewed literature, patent filings, standards documentation, and regulatory guidance to validate claims and contextualize technological advancements.

Analytical techniques encompassed cross-case comparisons, technology readiness assessments, and scenario analysis to explore different adoption pathways under varying infrastructure and policy conditions. Data validation occurred through triangulation of interview insights with documented case studies and technical specifications from vendors. Ethical considerations guided the handling of proprietary information and ensured that stakeholder anonymity was preserved where requested. Limitations of the methodology are acknowledged, including potential geographic sampling bias and the evolving nature of AI algorithms and hardware capabilities, which were addressed through continual review cycles and expert feedback loops.

Overall, this methodology balances depth and breadth, combining field-level perspectives with technical analysis to produce findings that are both operationally actionable and strategically informative for stakeholders across the agricultural value chain.

Strategic summary of how integrated AI technologies, resilient supply chains, and service-led models converge to deliver measurable productivity and sustainability gains in agriculture

In conclusion, artificial intelligence is transitioning agriculture from episodic interventions to continuous, data-driven management, with tangible benefits across crop monitoring, livestock management, soil health, supply chain traceability, and yield prediction. The convergence of drones, machine vision, predictive analytics, and robotics is enabling more precise, efficient, and resilient operations, while hybrid deployment modes and service-led models address variability in connectivity and farm scale. However, realizing this potential requires deliberate investments in interoperability, workforce capability, and supply chain resilience.

Moreover, recent trade policy shifts have underscored the need for adaptive procurement strategies and stronger regional partnerships to maintain deployment momentum. To succeed, stakeholders must align technology roadmaps with clear outcome metrics, prioritize user-centered design for small and medium farms, and cultivate collaborative ecosystems that accelerate validation and scale. By focusing on demonstrable operational gains and on lowering adoption barriers through integrated services, organizations can translate AI innovation into sustained productivity, environmental stewardship, and commercial value across diverse agricultural contexts.

Table of Contents

1. Preface

• 1.1. Objectives of the Study
• 1.2. Market Segmentation & Coverage
• 1.3. Years Considered for the Study
• 1.4. Currency & Pricing
• 1.5. Language
• 1.6. Stakeholders

2. Research Methodology

3. Executive Summary

4. Market Overview

5. Market Insights

• 5.1. AI-driven precision irrigation systems optimizing water usage based on soil moisture and weather forecasts
• 5.2. Implementation of machine learning algorithms in drones for early detection of crop stress and pest infestations
• 5.3. Adoption of computer vision-enabled robotics for automated harvesting and selective crop picking
• 5.4. Integration of AI-based predictive analytics with weather data to forecast optimal planting windows
• 5.5. Use of deep learning models combined with genomic and phenotypic data for accelerated crop breeding
• 5.6. Deployment of blockchain-enabled AI platforms for transparent agricultural supply chain management and traceability

6. Cumulative Impact of United States Tariffs 2025

7. Cumulative Impact of Artificial Intelligence 2025

8. Artificial Intelligence in Agriculture Market, by Offering

• 8.1. Hardware
  • 8.1.1. Cameras
  • 8.1.2. Drone Hardware
  • 8.1.3. Sensors
• 8.2. Services
  • 8.2.1. Consulting
  • 8.2.2. Implementation
  • 8.2.3. Support
• 8.3. Software
  • 8.3.1. Analytics Platforms
  • 8.3.2. Decision Support Systems
  • 8.3.3. Farm Management Systems

9. Artificial Intelligence in Agriculture Market, by Application

• 9.1. Crop Monitoring
  • 9.1.1. Disease Detection
  • 9.1.2. Irrigation Management
  • 9.1.3. Nutrient Management
• 9.2. Livestock Management
  • 9.2.1. Feed Optimization
  • 9.2.2. Health Monitoring
• 9.3. Soil Health
  • 9.3.1. Soil Analysis
  • 9.3.2. Soil Moisture Monitoring
• 9.4. Supply Chain Management
  • 9.4.1. Logistics Optimization
  • 9.4.2. Traceability
• 9.5. Yield Prediction
  • 9.5.1. Crop Modeling
  • 9.5.2. Weather Forecasting

10. Artificial Intelligence in Agriculture Market, by Technology

• 10.1. Drones
  • 10.1.1. Fixed Wing
  • 10.1.2. Rotary Wing
• 10.2. Machine Vision
  • 10.2.1. Optical Sensors
  • 10.2.2. Thermal Cameras
• 10.3. Predictive Analytics
  • 10.3.1. AI Algorithms
  • 10.3.2. Machine Learning Models
• 10.4. Robotics
  • 10.4.1. Automated Harvesters
  • 10.4.2. Autonomous Tractors

11. Artificial Intelligence in Agriculture Market, by Deployment Mode

• 11.1. Cloud
• 11.2. Hybrid
• 11.3. On Premise

12. Artificial Intelligence in Agriculture Market, by End User

• 12.1. Agrochemical Companies
• 12.2. Large Farms
• 12.3. Research Institutes
• 12.4. Small & Medium Farms

13. Artificial Intelligence in Agriculture Market, by Region

• 13.1. Americas
  • 13.1.1. North America
  • 13.1.2. Latin America
• 13.2. Europe, Middle East & Africa
  • 13.2.1. Europe
  • 13.2.2. Middle East
  • 13.2.3. Africa
• 13.3. Asia-Pacific

14. Artificial Intelligence in Agriculture Market, by Group

• 14.1. ASEAN
• 14.2. GCC
• 14.3. European Union
• 14.4. BRICS
• 14.5. G7
• 14.6. NATO

15. Artificial Intelligence in Agriculture Market, by Country

• 15.1. United States
• 15.2. Canada
• 15.3. Mexico
• 15.4. Brazil
• 15.5. United Kingdom
• 15.6. Germany
• 15.7. France
• 15.8. Russia
• 15.9. Italy
• 15.10. Spain
• 15.11. China
• 15.12. India
• 15.13. Japan
• 15.14. Australia
• 15.15. South Korea

16. Competitive Landscape

• 16.1. Market Share Analysis, 2024
• 16.2. FPNV Positioning Matrix, 2024
• 16.3. Competitive Analysis
  • 16.3.1. Deere & Company
  • 16.3.2. Bayer AG
  • 16.3.3. International Business Machines Corporation
  • 16.3.4. Trimble Inc.
  • 16.3.5. CNH Industrial N.V.
  • 16.3.6. BASF SE
  • 16.3.7. Syngenta AG
  • 16.3.8. Farmers Edge Limited
  • 16.3.9. Yara International ASA
  • 16.3.10. Taranis Inc.

LIST OF FIGURES

• FIGURE 1. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, 2018-2032 (USD MILLION)
• FIGURE 2. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY OFFERING, 2024 VS 2032 (%)
• FIGURE 3. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY OFFERING, 2024 VS 2025 VS 2032 (USD MILLION)
• FIGURE 4. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY APPLICATION, 2024 VS 2032 (%)
• FIGURE 5. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY APPLICATION, 2024 VS 2025 VS 2032 (USD MILLION)
• FIGURE 6. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY TECHNOLOGY, 2024 VS 2032 (%)
• FIGURE 7. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY TECHNOLOGY, 2024 VS 2025 VS 2032 (USD MILLION)
• FIGURE 8. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY DEPLOYMENT MODE, 2024 VS 2032 (%)
• FIGURE 9. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY DEPLOYMENT MODE, 2024 VS 2025 VS 2032 (USD MILLION)
• FIGURE 10. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY END USER, 2024 VS 2032 (%)
• FIGURE 11. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY END USER, 2024 VS 2025 VS 2032 (USD MILLION)
• FIGURE 12. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY REGION, 2024 VS 2025 VS 2032 (USD MILLION)
• FIGURE 13. AMERICAS ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY SUBREGION, 2024 VS 2025 VS 2032 (USD MILLION)
• FIGURE 14. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
• FIGURE 15. LATIN AMERICA ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
• FIGURE 16. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY SUBREGION, 2024 VS 2025 VS 2032 (USD MILLION)
• FIGURE 17. EUROPE ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
• FIGURE 18. MIDDLE EAST ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
• FIGURE 19. AFRICA ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
• FIGURE 20. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
• FIGURE 21. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY GROUP, 2024 VS 2025 VS 2032 (USD MILLION)
• FIGURE 22. ASEAN ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
• FIGURE 23. GCC ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
• FIGURE 24. EUROPEAN UNION ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
• FIGURE 25. BRICS ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
• FIGURE 26. G7 ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
• FIGURE 27. NATO ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
• FIGURE 28. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
• FIGURE 29. ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SHARE, BY KEY PLAYER, 2024
• FIGURE 30. ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET, FPNV POSITIONING MATRIX, 2024

LIST OF TABLES

• TABLE 1. ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SEGMENTATION & COVERAGE
• TABLE 2. UNITED STATES DOLLAR EXCHANGE RATE, 2018-2024
• TABLE 3. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, 2018-2024 (USD MILLION)
• TABLE 4. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, 2025-2032 (USD MILLION)
• TABLE 5. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY OFFERING, 2018-2024 (USD MILLION)
• TABLE 6. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY OFFERING, 2025-2032 (USD MILLION)
• TABLE 7. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY HARDWARE, 2018-2024 (USD MILLION)
• TABLE 8. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY HARDWARE, 2025-2032 (USD MILLION)
• TABLE 9. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY HARDWARE, BY REGION, 2018-2024 (USD MILLION)
• TABLE 10. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY HARDWARE, BY REGION, 2025-2032 (USD MILLION)
• TABLE 11. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY HARDWARE, BY GROUP, 2018-2024 (USD MILLION)
• TABLE 12. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY HARDWARE, BY GROUP, 2025-2032 (USD MILLION)
• TABLE 13. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY HARDWARE, BY COUNTRY, 2018-2024 (USD MILLION)
• TABLE 14. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY HARDWARE, BY COUNTRY, 2025-2032 (USD MILLION)
• TABLE 15. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY CAMERAS, BY REGION, 2018-2024 (USD MILLION)
• TABLE 16. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY CAMERAS, BY REGION, 2025-2032 (USD MILLION)
• TABLE 17. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY CAMERAS, BY GROUP, 2018-2024 (USD MILLION)
• TABLE 18. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY CAMERAS, BY GROUP, 2025-2032 (USD MILLION)
• TABLE 19. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY CAMERAS, BY COUNTRY, 2018-2024 (USD MILLION)
• TABLE 20. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY CAMERAS, BY COUNTRY, 2025-2032 (USD MILLION)
• TABLE 21. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY DRONE HARDWARE, BY REGION, 2018-2024 (USD MILLION)
• TABLE 22. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY DRONE HARDWARE, BY REGION, 2025-2032 (USD MILLION)
• TABLE 23. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY DRONE HARDWARE, BY GROUP, 2018-2024 (USD MILLION)
• TABLE 24. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY DRONE HARDWARE, BY GROUP, 2025-2032 (USD MILLION)
• TABLE 25. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY DRONE HARDWARE, BY COUNTRY, 2018-2024 (USD MILLION)
• TABLE 26. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY DRONE HARDWARE, BY COUNTRY, 2025-2032 (USD MILLION)
• TABLE 27. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY SENSORS, BY REGION, 2018-2024 (USD MILLION)
• TABLE 28. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY SENSORS, BY REGION, 2025-2032 (USD MILLION)
• TABLE 29. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY SENSORS, BY GROUP, 2018-2024 (USD MILLION)
• TABLE 30. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY SENSORS, BY GROUP, 2025-2032 (USD MILLION)
• TABLE 31. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY SENSORS, BY COUNTRY, 2018-2024 (USD MILLION)
• TABLE 32. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY SENSORS, BY COUNTRY, 2025-2032 (USD MILLION)
• TABLE 33. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY SERVICES, 2018-2024 (USD MILLION)
• TABLE 34. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY SERVICES, 2025-2032 (USD MILLION)
• TABLE 35. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY SERVICES, BY REGION, 2018-2024 (USD MILLION)
• TABLE 36. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY SERVICES, BY REGION, 2025-2032 (USD MILLION)
• TABLE 37. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY SERVICES, BY GROUP, 2018-2024 (USD MILLION)
• TABLE 38. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY SERVICES, BY GROUP, 2025-2032 (USD MILLION)
• TABLE 39. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY SERVICES, BY COUNTRY, 2018-2024 (USD MILLION)
• TABLE 40. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY SERVICES, BY COUNTRY, 2025-2032 (USD MILLION)
• TABLE 41. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY CONSULTING, BY REGION, 2018-2024 (USD MILLION)
• TABLE 42. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY CONSULTING, BY REGION, 2025-2032 (USD MILLION)
• TABLE 43. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY CONSULTING, BY GROUP, 2018-2024 (USD MILLION)
• TABLE 44. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY CONSULTING, BY GROUP, 2025-2032 (USD MILLION)
• TABLE 45. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY CONSULTING, BY COUNTRY, 2018-2024 (USD MILLION)
• TABLE 46. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY CONSULTING, BY COUNTRY, 2025-2032 (USD MILLION)
• TABLE 47. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY IMPLEMENTATION, BY REGION, 2018-2024 (USD MILLION)
• TABLE 48. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY IMPLEMENTATION, BY REGION, 2025-2032 (USD MILLION)
• TABLE 49. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY IMPLEMENTATION, BY GROUP, 2018-2024 (USD MILLION)
• TABLE 50. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY IMPLEMENTATION, BY GROUP, 2025-2032 (USD MILLION)
• TABLE 51. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY IMPLEMENTATION, BY COUNTRY, 2018-2024 (USD MILLION)
• TABLE 52. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY IMPLEMENTATION, BY COUNTRY, 2025-2032 (USD MILLION)
• TABLE 53. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY SUPPORT, BY REGION, 2018-2024 (USD MILLION)
• TABLE 54. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY SUPPORT, BY REGION, 2025-2032 (USD MILLION)
• TABLE 55. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY SUPPORT, BY GROUP, 2018-2024 (USD MILLION)
• TABLE 56. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY SUPPORT, BY GROUP, 2025-2032 (USD MILLION)
• TABLE 57. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY SUPPORT, BY COUNTRY, 2018-2024 (USD MILLION)
• TABLE 58. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY SUPPORT, BY COUNTRY, 2025-2032 (USD MILLION)
• TABLE 59. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY SOFTWARE, 2018-2024 (USD MILLION)
• TABLE 60. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY SOFTWARE, 2025-2032 (USD MILLION)
• TABLE 61. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY SOFTWARE, BY REGION, 2018-2024 (USD MILLION)
• TABLE 62. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY SOFTWARE, BY REGION, 2025-2032 (USD MILLION)
• TABLE 63. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY SOFTWARE, BY GROUP, 2018-2024 (USD MILLION)
• TABLE 64. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY SOFTWARE, BY GROUP, 2025-2032 (USD MILLION)
• TABLE 65. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY SOFTWARE, BY COUNTRY, 2018-2024 (USD MILLION)
• TABLE 66. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY SOFTWARE, BY COUNTRY, 2025-2032 (USD MILLION)
• TABLE 67. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY ANALYTICS PLATFORMS, BY REGION, 2018-2024 (USD MILLION)
• TABLE 68. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY ANALYTICS PLATFORMS, BY REGION, 2025-2032 (USD MILLION)
• TABLE 69. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY ANALYTICS PLATFORMS, BY GROUP, 2018-2024 (USD MILLION)
• TABLE 70. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY ANALYTICS PLATFORMS, BY GROUP, 2025-2032 (USD MILLION)
• TABLE 71. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY ANALYTICS PLATFORMS, BY COUNTRY, 2018-2024 (USD MILLION)
• TABLE 72. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY ANALYTICS PLATFORMS, BY COUNTRY, 2025-2032 (USD MILLION)
• TABLE 73. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY DECISION SUPPORT SYSTEMS, BY REGION, 2018-2024 (USD MILLION)
• TABLE 74. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY DECISION SUPPORT SYSTEMS, BY REGION, 2025-2032 (USD MILLION)
• TABLE 75. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY DECISION SUPPORT SYSTEMS, BY GROUP, 2018-2024 (USD MILLION)
• TABLE 76. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY DECISION SUPPORT SYSTEMS, BY GROUP, 2025-2032 (USD MILLION)
• TABLE 77. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY DECISION SUPPORT SYSTEMS, BY COUNTRY, 2018-2024 (USD MILLION)
• TABLE 78. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY DECISION SUPPORT SYSTEMS, BY COUNTRY, 2025-2032 (USD MILLION)
• TABLE 79. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY FARM MANAGEMENT SYSTEMS, BY REGION, 2018-2024 (USD MILLION)
• TABLE 80. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY FARM MANAGEMENT SYSTEMS, BY REGION, 2025-2032 (USD MILLION)
• TABLE 81. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY FARM MANAGEMENT SYSTEMS, BY GROUP, 2018-2024 (USD MILLION)
• TABLE 82. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY FARM MANAGEMENT SYSTEMS, BY GROUP, 2025-2032 (USD MILLION)
• TABLE 83. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY FARM MANAGEMENT SYSTEMS, BY COUNTRY, 2018-2024 (USD MILLION)
• TABLE 84. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY FARM MANAGEMENT SYSTEMS, BY COUNTRY, 2025-2032 (USD MILLION)
• TABLE 85. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY APPLICATION, 2018-2024 (USD MILLION)
• TABLE 86. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY APPLICATION, 2025-2032 (USD MILLION)
• TABLE 87. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY CROP MONITORING, 2018-2024 (USD MILLION)
• TABLE 88. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY CROP MONITORING, 2025-2032 (USD MILLION)
• TABLE 89. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY CROP MONITORING, BY REGION, 2018-2024 (USD MILLION)
• TABLE 90. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY CROP MONITORING, BY REGION, 2025-2032 (USD MILLION)
• TABLE 91. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY CROP MONITORING, BY GROUP, 2018-2024 (USD MILLION)
• TABLE 92. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY CROP MONITORING, BY GROUP, 2025-2032 (USD MILLION)
• TABLE 93. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY CROP MONITORING, BY COUNTRY, 2018-2024 (USD MILLION)
• TABLE 94. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY CROP MONITORING, BY COUNTRY, 2025-2032 (USD MILLION)
• TABLE 95. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY DISEASE DETECTION, BY REGION, 2018-2024 (USD MILLION)
• TABLE 96. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY DISEASE DETECTION, BY REGION, 2025-2032 (USD MILLION)
• TABLE 97. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY DISEASE DETECTION, BY GROUP, 2018-2024 (USD MILLION)
• TABLE 98. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY DISEASE DETECTION, BY GROUP, 2025-2032 (USD MILLION)
• TABLE 99. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY DISEASE DETECTION, BY COUNTRY, 2018-2024 (USD MILLION)
• TABLE 100. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY DISEASE DETECTION, BY COUNTRY, 2025-2032 (USD MILLION)
• TABLE 101. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY IRRIGATION MANAGEMENT, BY REGION, 2018-2024 (USD MILLION)
• TABLE 102. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY IRRIGATION MANAGEMENT, BY REGION, 2025-2032 (USD MILLION)
• TABLE 103. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY IRRIGATION MANAGEMENT, BY GROUP, 2018-2024 (USD MILLION)
• TABLE 104. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY IRRIGATION MANAGEMENT, BY GROUP, 2025-2032 (USD MILLION)
• TABLE 105. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY IRRIGATION MANAGEMENT, BY COUNTRY, 2018-2024 (USD MILLION)
• TABLE 106. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY IRRIGATION MANAGEMENT, BY COUNTRY, 2025-2032 (USD MILLION)
• TABLE 107. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY NUTRIENT MANAGEMENT, BY REGION, 2018-2024 (USD MILLION)
• TABLE 108. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY NUTRIENT MANAGEMENT, BY REGION, 2025-2032 (USD MILLION)
• TABLE 109. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY NUTRIENT MANAGEMENT, BY GROUP, 2018-2024 (USD MILLION)
• TABLE 110. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY NUTRIENT MANAGEMENT, BY GROUP, 2025-2032 (USD MILLION)
• TABLE 111. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY NUTRIENT MANAGEMENT, BY COUNTRY, 2018-2024 (USD MILLION)
• TABLE 112. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY NUTRIENT MANAGEMENT, BY COUNTRY, 2025-2032 (USD MILLION)
• TABLE 113. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY LIVESTOCK MANAGEMENT, 2018-2024 (USD MILLION)
• TABLE 114. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY LIVESTOCK MANAGEMENT, 2025-2032 (USD MILLION)
• TABLE 115. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY LIVESTOCK MANAGEMENT, BY REGION, 2018-2024 (USD MILLION)
• TABLE 116. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY LIVESTOCK MANAGEMENT, BY REGION, 2025-2032 (USD MILLION)
• TABLE 117. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY LIVESTOCK MANAGEMENT, BY GROUP, 2018-2024 (USD MILLION)
• TABLE 118. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY LIVESTOCK MANAGEMENT, BY GROUP, 2025-2032 (USD MILLION)
• TABLE 119. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY LIVESTOCK MANAGEMENT, BY COUNTRY, 2018-2024 (USD MILLION)
• TABLE 120. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY LIVESTOCK MANAGEMENT, BY COUNTRY, 2025-2032 (USD MILLION)
• TABLE 121. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY FEED OPTIMIZATION, BY REGION, 2018-2024 (USD MILLION)
• TABLE 122. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY FEED OPTIMIZATION, BY REGION, 2025-2032 (USD MILLION)
• TABLE 123. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY FEED OPTIMIZATION, BY GROUP, 2018-2024 (USD MILLION)
• TABLE 124. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY FEED OPTIMIZATION, BY GROUP, 2025-2032 (USD MILLION)
• TABLE 125. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY FEED OPTIMIZATION, BY COUNTRY, 2018-2024 (USD MILLION)
• TABLE 126. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY FEED OPTIMIZATION, BY COUNTRY, 2025-2032 (USD MILLION)
• TABLE 127. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY HEALTH MONITORING, BY REGION, 2018-2024 (USD MILLION)
• TABLE 128. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY HEALTH MONITORING, BY REGION, 2025-2032 (USD MILLION)
• TABLE 129. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY HEALTH MONITORING, BY GROUP, 2018-2024 (USD MILLION)
• TABLE 130. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY HEALTH MONITORING, BY GROUP, 2025-2032 (USD MILLION)
• TABLE 131. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY HEALTH MONITORING, BY COUNTRY, 2018-2024 (USD MILLION)
• TABLE 132. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY HEALTH MONITORING, BY COUNTRY, 2025-2032 (USD MILLION)
• TABLE 133. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY SOIL HEALTH, 2018-2024 (USD MILLION)
• TABLE 134. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY SOIL HEALTH, 2025-2032 (USD MILLION)
• TABLE 135. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY SOIL HEALTH, BY REGION, 2018-2024 (USD MILLION)
• TABLE 136. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY SOIL HEALTH, BY REGION, 2025-2032 (USD MILLION)
• TABLE 137. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY SOIL HEALTH, BY GROUP, 2018-2024 (USD MILLION)
• TABLE 138. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY SOIL HEALTH, BY GROUP, 2025-2032 (USD MILLION)
• TABLE 139. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY SOIL HEALTH, BY COUNTRY, 2018-2024 (USD MILLION)
• TABLE 140. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY SOIL HEALTH, BY COUNTRY, 2025-2032 (USD MILLION)
• TABLE 141. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY SOIL ANALYSIS, BY REGION, 2018-2024 (USD MILLION)
• TABLE 142. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY SOIL ANALYSIS, BY REGION, 2025-2032 (USD MILLION)
• TABLE 143. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY SOIL ANALYSIS, BY GROUP, 2018-2024 (USD MILLION)
• TABLE 144. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY SOIL ANALYSIS, BY GROUP, 2025-2032 (USD MILLION)
• TABLE 145. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY SOIL ANALYSIS, BY COUNTRY, 2018-2024 (USD MILLION)
• TABLE 146. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY SOIL ANALYSIS, BY COUNTRY, 2025-2032 (USD MILLION)
• TABLE 147. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY SOIL MOISTURE MONITORING, BY REGION, 2018-2024 (USD MILLION)
• TABLE 148. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY SOIL MOISTURE MONITORING, BY REGION, 2025-2032 (USD MILLION)
• TABLE 149. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY SOIL MOISTURE MONITORING, BY GROUP, 2018-2024 (USD MILLION)
• TABLE 150. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY SOIL MOISTURE MONITORING, BY GROUP, 2025-2032 (USD MILLION)
• TABLE 151. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY SOIL MOISTURE MONITORING, BY COUNTRY, 2018-2024 (USD MILLION)
• TABLE 152. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY SOIL MOISTURE MONITORING, BY COUNTRY, 2025-2032 (USD MILLION)
• TABLE 153. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY SUPPLY CHAIN MANAGEMENT, 2018-2024 (USD MILLION)
• TABLE 154. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY SUPPLY CHAIN MANAGEMENT, 2025-2032 (USD MILLION)
• TABLE 155. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY SUPPLY CHAIN MANAGEMENT, BY REGION, 2018-2024 (USD MILLION)
• TABLE 156. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY SUPPLY CHAIN MANAGEMENT, BY REGION, 2025-2032 (USD MILLION)
• TABLE 157. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY SUPPLY CHAIN MANAGEMENT, BY GROUP, 2018-2024 (USD MILLION)
• TABLE 158. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY SUPPLY CHAIN MANAGEMENT, BY GROUP, 2025-2032 (USD MILLION)
• TABLE 159. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY SUPPLY CHAIN MANAGEMENT, BY COUNTRY, 2018-2024 (USD MILLION)
• TABLE 160. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY SUPPLY CHAIN MANAGEMENT, BY COUNTRY, 2025-2032 (USD MILLION)
• TABLE 161. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY LOGISTICS OPTIMIZATION, BY REGION, 2018-2024 (USD MILLION)
• TABLE 162. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY LOGISTICS OPTIMIZATION, BY REGION, 2025-2032 (USD MILLION)
• TABLE 163. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY LOGISTICS OPTIMIZATION, BY GROUP, 2018-2024 (USD MILLION)
• TABLE 164. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY LOGISTICS OPTIMIZATION, BY GROUP, 2025-2032 (USD MILLION)
• TABLE 165. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY LOGISTICS OPTIMIZATION, BY COUNTRY, 2018-2024 (USD MILLION)
• TABLE 166. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY LOGISTICS OPTIMIZATION, BY COUNTRY, 2025-2032 (USD MILLION)
• TABLE 167. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY TRACEABILITY, BY REGION, 2018-2024 (USD MILLION)
• TABLE 168. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY TRACEABILITY, BY REGION, 2025-2032 (USD MILLION)
• TABLE 169. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY TRACEABILITY, BY GROUP, 2018-2024 (USD MILLION)
• TABLE 170. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY TRACEABILITY, BY GROUP, 2025-2032 (USD MILLION)
• TABLE 171. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY TRACEABILITY, BY COUNTRY, 2018-2024 (USD MILLION)
• TABLE 172. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY TRACEABILITY, BY COUNTRY, 2025-2032 (USD MILLION)
• TABLE 173. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY YIELD PREDICTION, 2018-2024 (USD MILLION)
• TABLE 174. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY YIELD PREDICTION, 2025-2032 (USD MILLION)
• TABLE 175. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY YIELD PREDICTION, BY REGION, 2018-2024 (USD MILLION)
• TABLE 176. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY YIELD PREDICTION, BY REGION, 2025-2032 (USD MILLION)
• TABLE 177. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY YIELD PREDICTION, BY GROUP, 2018-2024 (USD MILLION)
• TABLE 178. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY YIELD PREDICTION, BY GROUP, 2025-2032 (USD MILLION)
• TABLE 179. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY YIELD PREDICTION, BY COUNTRY, 2018-2024 (USD MILLION)
• TABLE 180. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY YIELD PREDICTION, BY COUNTRY, 2025-2032 (USD MILLION)
• TABLE 181. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY CROP MODELING, BY REGION, 2018-2024 (USD MILLION)
• TABLE 182. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY CROP MODELING, BY REGION, 2025-2032 (USD MILLION)
• TABLE 183. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY CROP MODELING, BY GROUP, 2018-2024 (USD MILLION)
• TABLE 184. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY CROP MODELING, BY GROUP, 2025-2032 (USD MILLION)
• TABLE 185. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY CROP MODELING, BY COUNTRY, 2018-2024 (USD MILLION)
• TABLE 186. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY CROP MODELING, BY COUNTRY, 2025-2032 (USD MILLION)
• TABLE 187. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY WEATHER FORECASTING, BY REGION, 2018-2024 (USD MILLION)
• TABLE 188. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY WEATHER FORECASTING, BY REGION, 2025-2032 (USD MILLION)
• TABLE 189. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY WEATHER FORECASTING, BY GROUP, 2018-2024 (USD MILLION)
• TABLE 190. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY WEATHER FORECASTING, BY GROUP, 2025-2032 (USD MILLION)
• TABLE 191. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY WEATHER FORECASTING, BY COUNTRY, 2018-2024 (USD MILLION)
• TABLE 192. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY WEATHER FORECASTING, BY COUNTRY, 2025-2032 (USD MILLION)
• TABLE 193. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY TECHNOLOGY, 2018-2024 (USD MILLION)
• TABLE 194. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY TECHNOLOGY, 2025-2032 (USD MILLION)
• TABLE 195. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY DRONES, 2018-2024 (USD MILLION)
• TABLE 196. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY DRONES, 2025-2032 (USD MILLION)
• TABLE 197. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY DRONES, BY REGION, 2018-2024 (USD MILLION)
• TABLE 198. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY DRONES, BY REGION, 2025-2032 (USD MILLION)
• TABLE 199. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY DRONES, BY GROUP, 2018-2024 (USD MILLION)
• TABLE 200. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY DRONES, BY GROUP, 2025-2032 (USD MILLION)
• TABLE 201. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY DRONES, BY COUNTRY, 2018-2024 (USD MILLION)
• TABLE 202. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY DRONES, BY COUNTRY, 2025-2032 (USD MILLION)
• TABLE 203. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY FIXED WING, BY REGION, 2018-2024 (USD MILLION)
• TABLE 204. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY FIXED WING, BY REGION, 2025-2032 (USD MILLION)
• TABLE 205. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY FIXED WING, BY GROUP, 2018-2024 (USD MILLION)
• TABLE 206. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY FIXED WING, BY GROUP, 2025-2032 (USD MILLION)
• TABLE 207. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY FIXED WING, BY COUNTRY, 2018-2024 (USD MILLION)
• TABLE 208. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY FIXED WING, BY COUNTRY, 2025-2032 (USD MILLION)
• TABLE 209. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY ROTARY WING, BY REGION, 2018-2024 (USD MILLION)
• TABLE 210. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY ROTARY WING, BY REGION, 2025-2032 (USD MILLION)
• TABLE 211. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY ROTARY WING, BY GROUP, 2018-2024 (USD MILLION)
• TABLE 212. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY ROTARY WING, BY GROUP, 2025-2032 (USD MILLION)
• TABLE 213. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY ROTARY WING, BY COUNTRY, 2018-2024 (USD MILLION)
• TABLE 214. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY ROTARY WING, BY COUNTRY, 2025-2032 (USD MILLION)
• TABLE 215. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY MACHINE VISION, 2018-2024 (USD MILLION)
• TABLE 216. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY MACHINE VISION, 2025-2032 (USD MILLION)
• TABLE 217. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY MACHINE VISION, BY REGION, 2018-2024 (USD MILLION)
• TABLE 218. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY MACHINE VISION, BY REGION, 2025-2032 (USD MILLION)
• TABLE 219. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY MACHINE VISION, BY GROUP, 2018-2024 (USD MILLION)
• TABLE 220. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY MACHINE VISION, BY GROUP, 2025-2032 (USD MILLION)
• TABLE 221. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY MACHINE VISION, BY COUNTRY, 2018-2024 (USD MILLION)
• TABLE 222. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY MACHINE VISION, BY COUNTRY, 2025-2032 (USD MILLION)
• TABLE 223. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY OPTICAL SENSORS, BY REGION, 2018-2024 (USD MILLION)
• TABLE 224. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY OPTICAL SENSORS, BY REGION, 2025-2032 (USD MILLION)
• TABLE 225. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY OPTICAL SENSORS, BY GROUP, 2018-2024 (USD MILLION)
• TABLE 226. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY OPTICAL SENSORS, BY GROUP, 2025-2032 (USD MILLION)
• TABLE 227. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY OPTICAL SENSORS, BY COUNTRY, 2018-2024 (USD MILLION)
• TABLE 228. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY OPTICAL SENSORS, BY COUNTRY, 2025-2032 (USD MILLION)
• TABLE 229. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY THERMAL CAMERAS, BY REGION, 2018-2024 (USD MILLION)
• TABLE 230. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY THERMAL CAMERAS, BY REGION, 2025-2032 (USD MILLION)
• TABLE 231. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY THERMAL CAMERAS, BY GROUP, 2018-2024 (USD MILLION)
• TABLE 232. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY THERMAL CAMERAS, BY GROUP, 2025-2032 (USD MILLION)
• TABLE 233. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY THERMAL CAMERAS, BY COUNTRY, 2018-2024 (USD MILLION)
• TABLE 234. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY THERMAL CAMERAS, BY COUNTRY, 2025-2032 (USD MILLION)
• TABLE 235. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY PREDICTIVE ANALYTICS, 2018-2024 (USD MILLION)
• TABLE 236. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY PREDICTIVE ANALYTICS, 2025-2032 (USD MILLION)
• TABLE 237. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY PREDICTIVE ANALYTICS, BY REGION, 2018-2024 (USD MILLION)
• TABLE 238. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY PREDICTIVE ANALYTICS, BY REGION, 2025-2032 (USD MILLION)
• TABLE 239. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY PREDICTIVE ANALYTICS, BY GROUP, 2018-2024 (USD MILLION)
• TABLE 240. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY PREDICTIVE ANALYTICS, BY GROUP, 2025-2032 (USD MILLION)
• TABLE 241. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY PREDICTIVE ANALYTICS, BY COUNTRY, 2018-2024 (USD MILLION)
• TABLE 242. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY PREDICTIVE ANALYTICS, BY COUNTRY, 2025-2032 (USD MILLION)
• TABLE 243. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY AI ALGORITHMS, BY REGION, 2018-2024 (USD MILLION)
• TABLE 244. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY AI ALGORITHMS, BY REGION, 2025-2032 (USD MILLION)
• TABLE 245. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY AI ALGORITHMS, BY GROUP, 2018-2024 (USD MILLION)
• TABLE 246. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY AI ALGORITHMS, BY GROUP, 2025-2032 (USD MILLION)
• TABLE 247. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY AI ALGORITHMS, BY COUNTRY, 2018-2024 (USD MILLION)
• TABLE 248. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY AI ALGORITHMS, BY COUNTRY, 2025-2032 (USD MILLION)
• TABLE 249. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY MACHINE LEARNING MODELS, BY REGION, 2018-2024 (USD MILLION)
• TABLE 250. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY MACHINE LEARNING MODELS, BY REGION, 2025-2032 (USD MILLION)
• TABLE 251. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY MACHINE LEARNING MODELS, BY GROUP, 2018-2024 (USD MILLION)
• TABLE 252. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY MACHINE LEARNING MODELS, BY GROUP, 2025-2032 (USD MILLION)
• TABLE 253. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY MACHINE LEARNING MODELS, BY COUNTRY, 2018-2024 (USD MILLION)
• TABLE 254. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY MACHINE LEARNING MODELS, BY COUNTRY, 2025-2032 (USD MILLION)
• TABLE 255. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY ROBOTICS, 2018-2024 (USD MILLION)
• TABLE 256. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY ROBOTICS, 2025-2032 (USD MILLION)
• TABLE 257. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY ROBOTICS, BY REGION, 2018-2024 (USD MILLION)
• TABLE 258. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY ROBOTICS, BY REGION, 2025-2032 (USD MILLION)
• TABLE 259. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY ROBOTICS, BY GROUP, 2018-2024 (USD MILLION)
• TABLE 260. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY ROBOTICS, BY GROUP, 2025-2032 (USD MILLION)
• TABLE 261. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY ROBOTICS, BY COUNTRY, 2018-2024 (USD MILLION)
• TABLE 262. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY ROBOTICS, BY COUNTRY, 2025-2032 (USD MILLION)
• TABLE 263. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY AUTOMATED HARVESTERS, BY REGION, 2018-2024 (USD MILLION)
• TABLE 264. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY AUTOMATED HARVESTERS, BY REGION, 2025-2032 (USD MILLION)
• TABLE 265. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY AUTOMATED HARVESTERS, BY GROUP, 2018-2024 (USD MILLION)
• TABLE 266. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY AUTOMATED HARVESTERS, BY GROUP, 2025-2032 (USD MILLION)
• TABLE 267. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY AUTOMATED HARVESTERS, BY COUNTRY, 2018-2024 (USD MILLION)
• TABLE 268. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY AUTOMATED HARVESTERS, BY