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1852750

農業人工智慧市場：按產品、應用、技術、部署模式和最終用戶分類－2025-2032年全球預測

Artificial Intelligence in Agriculture Market by Offering, Application, Technology, Deployment Mode, End User - Global Forecast 2025-2032
出版日期: | 出版商: 360iResearch | 英文 183 Pages | 商品交期: 最快1-2個工作天內

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預計到 2032 年，農業人工智慧市場規模將達到 145.5 億美元，複合年成長率為 23.25%。

關鍵市場統計數據
基準年 2024 27.3億美元
預計年份：2025年 33.8億美元
預測年份 2032 145.5億美元
複合年成長率 (%) 23.25%

感測器、分析平台和服務融合如何再形成農業營運，並推動農業領域基於數據的可操作決策

人工智慧正在重塑農業系統，它將分散的數據流轉化為精準及時的行動，從而改善作物健康、提高資源利用效率並增強供應鏈透明度。農民和相關企業正在將攝影機、無人機硬體和感測器與分析平台和農場管理系統整合，以便及早發現病害、最佳化灌溉並根據植物的實際需求調整投入。同時，諮詢、實施和支援服務正在彌合實驗室能力與田間部署之間的差距，使決策支援系統能夠將模型輸出轉化為可操作的方法。

從傳統的季節性、經驗式管理向持續性、資料主導管理的轉變，不僅需要技術，還需要農藝師、農場經理和服務供應商的工作流程重組和新技能。為此，服務供應商正在開發端到端的解決方案，將硬體、軟體和專業知識結合，以加速這項轉變的實施。此外，邊緣運算和混合部署模式可以降低延遲並保護敏感的農場數據，而雲端基礎的解決方案則支援進階分析和跨農場基準測試。因此，價值鏈上的相關人員在選擇合作夥伴和技術時，都將互通性、易用性和可證明的投資報酬率作為優先考慮因素。

儘管機會龐大，但由於網路連線不均、農場規模差異以及法規環境不同，其普及程度將有所差異。因此，策略投資應專注於模組化、可擴展的服務模式以及培訓項目，從而使大中小型農場都能平等地使用人工智慧主導的工具。

新技術、經營模式和基礎設施的轉變將共同加速人工智慧主導農業的普及，同時重塑價值創造。

隨著人工智慧技術從試點階段走向實際應用，農業格局正發生許多變革性變化。精準監測如今利用無人機影像和機器視覺技術，結合光學感測器和熱感相機，提供持續的情境察覺，進而實現病害檢測、灌溉管理和植物層面的養分最佳化。同時，由人工智慧演算法和機器學習模型驅動的預測分析整合了天氣、土壤和歷史產量數據，以改善作物建模並提高產量預測的準確性。

機器人和自動化技術，包括自動收割機和自動駕駛曳引機，解決了勞動力短缺問題，提高了營運的一致性；而物流最佳化和可追溯性系統則連接了生產和消費供應鏈。這些技術進步與經營模式的轉變相輔相成。供應商擴大將硬體、軟體和諮詢服務捆綁銷售，從而降低了用戶的使用門檻。此外，部署選項——雲端、混合和本地部署——也在根據數據主權問題和連接實際情況不斷演變，這影響決策支援系統在農場的整合方式。

最終，這種轉變將促進一個更具韌性和永續的農業生態系統，但同時也需要更嚴格的數據共用標準、對農村連接的投資，以及技術提供者、農化公司、研究機構和農民之間的合作，以負責任地擴大影響力。

2025 年關稅調整將從根本上改變採購、供應商風險管理以及硬體投資與服務主導部署策略之間的平衡

2025年關稅的實施對設備採購和供應鏈結構產生了影響，尤其對攝影機、無人機硬體、感測器和其他關鍵零件的採購造成了顯著衝擊。在許多情況下，進口關稅的增加推高了硬體的到岸成本，迫使採購團隊評估替代供應商、調整部署計劃並修改硬體規格，以平衡效能和成本。因此，一些公司加快了在地化進程，投資建立國內生產能力，並與區域零件製造商建立策略夥伴關係關係，以降低貿易摩擦帶來的風險。

同時，服務和軟體要素也出現了分化。諮詢、實施和支援模式變得更具吸引力，因為它們提供了一種推遲資本支出、同時透過託管服務釋放能力的方法。以雲端和混合部署方式交付的軟體透過將軟體價值與硬體採購脫鉤，緩解了關稅帶來的部分衝擊，但互通性和認證流程需要新的關注點來維持性能標準。對於所有相關人員而言，關稅凸顯了彈性供應鏈、多元化籌資策略以及能夠應對關稅轉嫁和匯率波動的外匯條款的重要性。

因此，那些積極主動地評估供應商風險、投資模組化硬體設計並加強與本地合作夥伴關係的企業，更有能力維持部署並跟上創新步伐。此類調整也為服務主導成長以及能夠提供整合解決方案以應對或緩解關稅相關成本壓力的公司創造了機會。

詳細的細分洞察揭示了產品、應用、技術、部署選項和最終用戶需求如何定義不同的採用路徑和價值提案。

市場區隔洞察顯示，技術和服務的採用路徑因產品、應用、技術、部署類型和最終用戶特徵而異。硬體（例如攝影機、無人機硬體和感測器）在提供原始觀測數據方面仍然至關重要，而服務則涵蓋諮詢、實施和支持，從而將數據轉化為農場層面的行動和長期營運變革。軟體類別（例如分析平台、決策支援系統和農場管理系統）提供了分析基礎架構，整合不同的輸入並實現工作流程自動化。

透過精準的細分，明確了應用場景和投資重點。作物監測包括病害檢測、灌溉管理和養分管理，而畜牧管理則著重於飼料最佳化和健康監測。土壤健康分析涵蓋土壤分析和濕度監測，而供應鏈改善則著重於物流最佳化和可追溯性。產量預測結合了作物模型和天氣預報，以幫助將種植和收穫決策與風險管理框架相協調。

在技​​術層面，無論是固定翼無人機還是旋翼無人機，都能實現快速區域覆蓋和目標資料收集；而利用光學感測器和熱感成像儀的機器視覺技術則能增強植物層面的診斷能力。預測分析利用人工智慧演算法和機器學習模型將數據轉化為預測和建議，而機器人技術，例如自動收割機和自動駕駛曳引機，則能解決勞動密集型任務。在雲端、混合式環境和本地部署環境之間的選擇反映了延遲、控制和規模之間的權衡。最後，涵蓋農化公司、大型農場、研究機構以及中小農場的終端用戶群凸顯了不同的需求。農化公司優先考慮產品功效檢驗和可追溯性，大型農場重視整合和規模，研究機構重視實驗和精準性，而小型農場則需要經濟高效、易於使用且能帶來明顯營運效益的解決方案。

美洲、歐洲、中東和非洲以及亞太地區在政策、基礎建設和農業結構上的差異，如何驅動不同的技術採納和夥伴關係模式？

美洲、歐洲、中東和非洲以及亞太地區的區域動態正在影響技術選擇、夥伴關係建立和服務交付的優先事項。在美洲，重點通常在於快速商業部署、與大規模機械化作業的整合，以及透過使用先進的預測分析和自主機械來提高效率。北美和南美的營運商則可能尋求垂直整合的解決方案，將感測器、分析平台和農場管理系統捆綁在一起，以最佳化田間決策和供應鏈可追溯性。

在歐洲、中東和非洲，法律規範和永續性目標日益指南各項措施的實施，從而推動了對能夠展示投入減少和環境效益的決策支援系統的需求。結合雲端分析和本地邊緣處理的混合部署模式，正幫助該地區在資料主權要求和網路連接不穩定之間取得平衡。在整個全部區域，研究機構和政策主導項目正積極開展機器視覺和機器人應用試點項目，並檢驗土壤健康和養分管理通訊協定。

亞太地區正迅速接受技術創新，這主要得益於農場規模的多樣化以及對自動化和遙感探測投資的不斷成長。在該地區的許多市場，旋翼無人機、熱感相機和人工智慧演算法正透過服務導向型模式和低成本硬體的調整，適應小農戶的實際情況。總體而言，區域策略必須考慮到不同農場（包括大型農場和小型農場）之間基礎設施、資料管治實務和商業性優先事項的差異。

策略性產業佈局和競爭動態表明，平台化、夥伴關係和以結果為導向的服務如何決定商業性領導地位和規模。

該領域的企業策略正趨向於平台化、垂直整合和策略夥伴關係，將硬體專長與軟體分析和現場服務結合。大型企業致力於建立生態系統，將感測器和攝影機與分析平台和決策支援系統整合，同時提供諮詢、實施和支援服務以確保成功。專注於特定技術（例如機器視覺、人工智慧演算法和協作機器人）的新興企業，經常與成熟企業合作，以擴展測試環境和商業部署。

併購和商業聯盟是快速獲取能力的常用途徑，尤其是在需要昂貴硬體開發或專用機器人技術的領域。同時，軟體公司正透過夥伴關係實現差異化，這些合​​作夥伴關係能夠建立資料模型、API優先架構，並與農場管理系統整合。針對大型農場、農化公司、研究機構以及中小農場等終端用戶量身定做的策略，有助於企業設計滿足多樣化需求的定價和交付模式。能夠提供檢驗的結果、透明的績效指標和強力的實施支持的企業，將被定位為值得信賴的長期合作夥伴。

總而言之，競爭優勢將越來越取決於提供端到端解決方案、提供強大的售後支援以及利用夥伴關係關係來加快價值實現速度，同時降低生產商和供應鏈相關人員的實施風險的能力。

為高階主管提供可操作的策略重點，以協調產品藍圖、供應鏈彈性和服務模式，從而加速人工智慧在農業領域的實際應用。

產業領導者應優先採取一系列合作行動，將技術潛力轉化為營運和商業性價值。首先，投資於模組化硬體設計和供應商多元化，以實現攝影機、無人機組件和感測器的逐步升級，同時降低貿易中斷帶來的風險。其次，採用軟體優先的互通性策略，使分析平台、決策支援系統和農場互通性系統能夠透過開放API和標準化格式交換數據，從而支援多供應商部署。

第三，我們將拓展服務能力，包括諮詢、實施和支持，以加速技術推廣應用，尤其是在需要指導和便利培訓的中小農場。第四，我們將專注於試點項目，聚焦病害檢測、灌溉管理和產量預測等高影響力應用，以展示可衡量的成果並培養內部推廣者。第五，我們將加強人才隊伍建設，為農藝師和技術人員提供人工智慧模型解讀、感測器校準和機器人操作的培訓。

最後，積極與監管機構和標準制定機構合作，建構資料管治框架，確保可追溯性系統符合新興的永續性要求。透過調整產品藍圖以契合這些優先事項，並相應地調整資本和人才投資，企業可以提高韌性，縮短部署週期，並從向人工智慧農業的轉型中獲得更多價值。

綜合運用多源研究設計，結合一手訪談、技術評論和情境分析，得出關於農業人工智慧的可操作和檢驗的見解。

調查方法採用多源資料方法，確保研究的嚴謹性、可重複性和對決策者的相關性。主要研究包括對農藝師、技術領導者、農場經理和供應鏈專業人員進行結構化訪談，以了解他們使用攝影機、無人機、感測器、分析平台和機器人的實際經驗。這些訪談為定性分析提供了資訊，分析了技術的採用促進因素、障礙和服務模式偏好。次要研究包括同行評審文獻、專利申請、標準文件和監管指南，以檢驗結論並為技術進步提供背景資訊。

分析方法包括跨案例比較、技術成熟度評估和情境分析，旨在探索不同基礎設施和政策條件下的各種採用路徑。資料檢驗是透過將訪談內容與已記錄的案例研究和供應商技術規範進行三角驗證來實現的。出於倫理考慮，我們謹慎處理了專有資訊，並應要求對相關人員進行匿名處理。我們承認調查方法存在一些局限性，例如潛在的地域抽樣偏差以及人工智慧演算法和硬體能力的不斷發展，但這些問題已透過持續的審查和專家反饋機制得到解決。

總體而言，該調查方法兼顧了深度和廣度，將實地觀點與技術分析相結合，從而為整個農業價值鏈的相關人員提供既實用又具有戰略意義的見解。

策略摘要：如何將整合人工智慧技術、彈性供應鏈和服務主導模式結合起來，從而在農業領域實現可衡量的生產力和永續性提升。

總之，人工智慧正在推動農業從零散干預轉向持續的數據主導管理，並在作物監測、牲畜管理、土壤健康、供應鏈可追溯性和產量預測等方面帶來實際效益。無人機、機器視覺、預測分析和機器人技術的融合，使得農業運作更加精準、高效和穩健，而混合部署和服務主導模式則能夠應對連接性和農場規模方面的差異。然而，要充分發揮這些潛力，需要對互通性、勞動力能力和供應鏈韌性進行有針對性的投資。

此外，近期貿易政策的變化凸顯了採取適應性籌資策略和加強區域夥伴關係以維持部署動能的重要性。為取得成功，相關人員必須將技術藍圖與明確的成果指標結合，優先考慮以中小農場用戶為中心的設計，並建立一個能夠加速檢驗和規模化推廣的協作生態系統。透過專注於可證明的營運效益並透過整合服務降低採用門檻，各組織可以將人工智慧創新轉化為永續的生產力、環境管理和商業性價值，並應用於不同的農業領域。

目錄

第1章：序言

第2章調查方法

第3章執行摘要

第4章 市場概覽

第5章 市場洞察

  • 人工智慧驅動的精準灌溉系統可根據土壤濕度和天氣預報最佳化用水量。
  • 在無人機上應用機器學習演算法，以實現作物脅迫和病蟲害的早期檢測
  • 部署電腦視覺機器人進行自動化和選擇性收割
  • 它結合了基於人工智慧的預測分析和天氣數據，以預測最佳種植時間。
  • 利用深度學習模型結合基因組和表現型資料加速作物育種
  • 推出基於區塊鏈的AI平台，用於透明的農業供應鏈管理和可追溯性。

第6章：美國關稅的累積影響，2025年

第7章：人工智慧的累積影響，2025年

8. 農業人工智慧市場（依產品/服務分類）

  • 硬體
    • 相機
    • 無人機硬體
    • 感應器
  • 服務
    • 諮詢
    • 執行
    • 支援
  • 軟體
    • 分析平台
    • 決策支援系統
    • 農場管理系統

第9章 按應用領域分類的農業人工智慧市場

  • 作物監測
    • 疾病檢測
    • 灌溉管理
    • 營養管理
  • 畜牧管理
    • 飼料最佳化
    • 健康監測
  • 土壤健康
    • 土壤分析
    • 土壤濕度監測
  • 供應鏈管理
    • 物流最佳化
    • 可追溯性
  • 產量預測
    • 作物建模
    • 天氣預報

第10章 科​​技在農業市場的人工智慧應用

  • 無人機
    • 固定翼飛機
    • 旋翼葉片
  • 機器視覺
    • 光學感測器
    • 熱感像儀
  • 預測分析
    • 人工智慧演算法
    • 機器學習模型
  • 機器人技術
    • 自動收割機
    • 自動曳引機

第11章 人工智慧在農業市場的部署模式

  • 雲
  • 混合
  • 本地部署

第12章 最終用戶在農業市場的人工智慧應用

  • 農藥公司
  • 大型農場
  • 研究所
  • 中小農場

第13章 各地區農業人工智慧市場

  • 美洲
    • 北美洲
    • 拉丁美洲
  • 歐洲、中東和非洲
    • 歐洲
    • 中東
    • 非洲
  • 亞太地區

第14章 農業人工智慧市場（按群體分類）

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

第15章 各國農業市場人工智慧應用

  • 美國
  • 加拿大
  • 墨西哥
  • 巴西
  • 英國
  • 德國
  • 法國
  • 俄羅斯
  • 義大利
  • 西班牙
  • 中國
  • 印度
  • 日本
  • 澳洲
  • 韓國

第16章 競爭格局

  • 2024年市佔率分析
  • FPNV定位矩陣，2024
  • 競爭分析
    • 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.
Product Code: MRR-F949FCDE1347

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