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1843645

2025年全球農業人工智慧(AI)市場報告

Artificial Intelligence (AI) In Agriculture Global Market Report 2025

出版日期: | 出版商: The Business Research Company | 英文 250 Pages | 商品交期: 2-10個工作天內

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簡介目錄

近年來,人工智慧(AI)在農業領域的市場規模呈指數級成長,從2024年的22.3億美元成長到2025年的27.1億美元,複合年成長率達21.6%。這一成長可歸因於精密農業的普及、數據的可近性、農業機械化、氣候變遷的影響以及勞動力短缺等因素。

預計未來幾年,農業人工智慧(AI)市場將呈指數級成長,到2029年市場規模將達到65.6億美元,複合年成長率(CAGR)為24.7%。預測期內的成長主要歸功於物聯網(IoT)的整合、人工智慧演算法的改進、無人機應用的日益普及、全球糧食需求的成長、數位化農業平台的興起、人工智慧主導的作物育種以及人工智慧在病蟲害防治中的應用。預測期內的關鍵趨勢包括衛星影像技術的進步、智慧灌溉系統的發展、區塊鏈在供應鏈中的應用、農業機器人的整合、多感測器融合以及科技公司與農業組織的合作。

人工智慧(AI)在農業領域的應用是指利用現代技術和機器學習演算法來最佳化農場管理並提高農業產量。人工智慧在農業的應用包括作物監測和產量預測、精密農業技術、自主機械和機器人、病蟲害檢測以及高效的資源管理。

農業人工智慧 (AI) 的主要組成部分包括硬體、軟體和服務。硬體指的是農業人工智慧應用中使用的實體組件和設備,例如感測器、機器人和收割設備。這些設備用於數據採集、作物健康監測和自動化收割。涉及的技術包括機器學習、預測分析和電腦視覺。這些人工智慧系統可以部署在雲端、本地或混合基礎架構上。人工智慧在農業的應用十分廣泛,包括精密農業、農業機器人、牲畜監測、無人機分析和勞動力管理。

美國在2025年春季突然提高關稅及其引發的貿易摩擦,對資訊科技產業,特別是硬體製造、資料基礎設施和軟體部署領域,產生了重大影響。進口半導體、電路基板和網路設備的關稅上漲,推高了高科技公司、雲端服務供應商和資料中心的生產和營運成本。在全球範圍內採購筆記型電腦、伺服器和消費電子產品零件的公司,面臨更長的前置作業時間和價格壓力。同時,對專用軟體徵收的關稅以及主要國際市場的報復性措施,擾亂了全球IT供應鏈,並降低了海外對美國製造技術的需求。為了應對這些挑戰,該產業正在加大對國內晶片生產的投資,擴大供應商網路,並利用人工智慧驅動的自動化技術來增強韌性,更有效地控制成本。

本研究報告是商業研究公司(The Business Research Company)最新系列報告的一部分,該系列報告提供農業人工智慧(AI)市場統計數據,包括全球市場規模、區域佔有率、農業人工智慧(AI)市場佔有率競爭對手、詳細的農業人工智慧(AI)市場細分、市場趨勢和商業機會,為在農業人工智慧(AI)行業取得成功提供所需數據。這份農業人工智慧(AI)市場研究報告全面概​​述了所有必要資訊,並對該行業的現狀和未來發展趨勢進行了詳細分析。

未來五年24.7%的成長率預測較先前預測略微下調0.2%。這一下調主要歸因於美國與其他國家之間的關稅影響。由於以色列開發的AI主導天氣建模工具的使用受限,美國可能會直接受到關稅影響,導致作物產量預測下調。此外,由於相互關稅以及貿易緊張局勢和限制加劇對全球經濟和貿易的負面影響,關稅的影響範圍將更加廣泛。

為確保糧食安全,提高糧食產量的需求預計將推動農業領域人工智慧(AI)市場的擴張。糧食安全涵蓋糧食的供應、取得和利用,以滿足膳食需求,對於維持積極健康的生活方式至關重要。人工智慧在最佳化農業流程、提高作物產量以及分析包括天氣模式、土壤狀況和作物健康狀況在內的龐巨量資料集方面發揮著至關重要的作用。透過提供即時洞察和精準建議,人工智慧幫助農民就灌溉、施肥、病蟲害防治和收割等事項做出明智的決策。這最終將提高生產力、減少廢棄物、最大限度地提高糧食產量並增強全球糧食安全。例如,截至2023年7月,聯合國糧食及農業組織報告稱,全球糧食產量每月成長0.2%,達到28.19億噸,預計2022年至2023年小麥消費量將增加至7.8億噸。因此,迫切需要提高糧食產量以確保糧食安全,而該國也已做好準備,推動農業領域人工智慧(AI)市場的發展。

農業科技(簡稱AgTech)的興起預計將推動人工智慧(AI)在農業領域的市場成長。 AgTech是指運用創新、創造力和數據驅動的解決方案來提升農業生產和管理的各個方面。將人工智慧融入農業科技有望徹底改變農業生產流程,使其更有效率、永續,並增強應對各種挑戰的能力。值得注意的是,截至2023年8月,美國農業部報告稱,32%的農場使用網際網路獲取農產品資訊,比上一年成長了3%。其中,51%的農場使用寬頻連接,而75%的農場依賴行動電話資料方案。因此,農業科技的興起正在推動人工智慧(AI)在農業領域的市場成長。

產品創新是人工智慧(AI)農業市場的一大趨勢。該領域的主要企業正致力於開發突破性平台,旨在提高產量預測的準確性、改善決策並推廣永續農業實踐。 「突破性平台」指的是能夠變革產業實踐、樹立新標竿並推動進一步發展的創新系統或技術。它通常旨在滿足尚未被滿足的需求並提供創新解決方案。例如,2024年9月,美國軟體公司Helios AI推出了CommodiTrack,這是一個先進的平台,整合了廣泛的氣候風險數據和預測分析,旨在增強農業供應鏈的韌性。該平台為用戶提供可操作的洞察,使他們能夠快速適應市場波動和中斷。

農業人工智慧 (AI) 市場的主要企業正專注於 GPS 導航系統等尖端技術。該系統利用全球定位系統 (GPS) 的訊號,為田間作業的車輛和機械提供精準導航。 2022 年 1 月,美國製造商迪爾公司 (Deere & Company) 發布了 8R 曳引機,這是一款全自動曳引機,配備了 TruSet 犁鏵、GPS 導航系統和多項創新技術。這款自動曳引機配備六對立體攝影機用於障礙物識別,並採用深度神經網路進行快速影像處理和決策,從而實現精準高效的田間作業。

2023年10月,美國自動化公司羅克韋爾自動化(Rockwell Automation)收購了Clearpath Robotics,具體金額未揭露。羅克韋爾自動化正透過整合先進的自主移動機器人來最佳化生產物流,從而強化其工業自動化產品組合。這項策略性舉措使羅克韋爾能夠充分利用市場對高效互聯製造解決方案日益成長的需求。加拿大機器人公司Clearpath Robotics透過將自動駕駛車輛與人工智慧結合,最佳化播種和收割等農業作業,從而提高效率和精確度。這種整合有助於數據主導的決策,最終提高產量並實現永續農業生產。

農業農業 (AI) 市場的主要參與者包括:Google有限責任公司、微軟公司、IBM 公司、拜耳公司、約翰迪爾公司、甲骨文公司、凱斯紐荷蘭工業集團、威普羅有限公司、瓦爾蒙特工業公司、雷文工業公司、Climate LLC、Granmaging 公司、Ag Leader Technology 公司、FarmWise Labs 公司、Tagis 公司公司、PrecisionHawk 公司、Descartes Labs 公司、Farmmobile LLC 公司、AppHarvest 公司、Farmers Edge 公司、Iron Ox 公司、Prospera Technologies 公司、aWhere 公司、Agribotix 公司、Abundant Robotics 公司、 SAworld 公司、Harvesto Technologies 公司和 Tule?

預計到2024年,北美將成為農業人工智慧(AI)市場最大的區域。亞太地區預計將成為預測期內成長最快的區域。這份農業人工智慧(AI)市場報告涵蓋亞太地區、西歐、東歐、北美、南美、中東和非洲。

這份《農業人工智慧(AI)市場報告》涵蓋的國家包括澳洲、巴西、中國、法國、德國、印度、印尼、日本、俄羅斯、韓國、英國、美國、義大利、西班牙和加拿大。

農業人工智慧(AI)市場由提供精密農業、作物管理、農機自動化、供應鏈最佳化、作物監測和監控等服務的營業單位所獲得的收入所構成。市場價值還包括服務提供者銷售的或包含在其服務產品中的任何相關商品的價值。農業人工智慧(AI)市場還包括用於提供農業人工智慧(AI)服務的感測器、無人機、機器人和衛星的銷售。該市場的價值為“出廠價”,即商品製造商或生產商銷售的商品價值,無論銷售對像是其他營業單位(包括下游製造商、批發商、經銷商和零售商)還是直接銷售給最終客戶。該市場中的商品價值還包括商品製造商提供的任何相關服務。

目錄

第1章執行摘要

第2章 市場特徵

第3章 市場趨勢與策略

第4章 市場:宏觀經濟情景,包括利率、通貨膨脹、地緣政治、貿易戰和關稅,以及新冠疫情及其復甦對市場的影響

第5章 全球成長分析與策略分析框架

  • 全球農業人工智慧(AI)應用:PESTEL分析(政治、社會、技術、環境、法律因素、促進因素與限制因素)
  • 終端用戶產業分析
  • 全球農業人工智慧(AI)市場:成長率分析
  • 全球農業人工智慧(AI)市場表現:規模與成長,2019-2024年
  • 全球農業人工智慧(AI)市場預測:規模與成長,2024-2029年,2034年預測
  • 人工智慧(AI)在農業領域的應用:全球潛在市場規模(TAM)

第6章 市場細分

  • 全球農業人工智慧(AI)市場:按組件分類,實際值和預測值,2019-2024年、2024-2029年預測值、2034年預測值
  • 硬體
  • 軟體
  • 服務
  • 全球農業人工智慧(AI)市場:依技術、性能和預測分類,2019-2024年、2024-2029年預測、2034年預測
  • 機器學習
  • 預測分析
  • 電腦視覺
  • 全球農業人工智慧(AI)市場:按部署、性能和預測分類,2019-2024年、2024-2029年預測、2034年預測
  • 本地部署
  • 混合
  • 全球農業人工智慧(AI)市場:按應用、效能和預測分類,2019-2024年、2024-2029年預測、2034年預測
  • 精密農業
  • 農業機器人
  • 牲畜監測
  • 無人機分析
  • 勞動管理
  • 其他用途
  • 全球農業人工智慧(AI)市場:細分、硬體(按類型)、效能與預測,2019-2024年、2024-2029年預測、2034年預測
  • 感應器
  • 無人機
  • 影像系統
  • 機器人技術
  • 自動化設備
  • 全球農業人工智慧(AI)市場:細分市場、軟體(按類型)、效能和預測,2019-2024年、2024-2029年預測、2034年預測
  • 數據分析平台
  • 農場管理軟體
  • 基於人工智慧的預測工具
  • 影像處理軟體
  • 全球農業人工智慧(AI)市場:細分、服務(按類型)、績效及預測,2019-2024年、2024-2029年預測、2034年預測
  • 諮詢服務
  • 系統整合服務
  • 維護和支援服務

第7章 區域和國家分析

  • 全球農業人工智慧(AI)市場:區域分析、預測與成長,2019-2024年、2024-2029年預測、2034年預測
  • 全球農業人工智慧(AI)市場:國家、表現與預測,2019-2024年、2024-2029年預測、2034年預測

第8章 亞太市場

第9章:中國市場

第10章 印度市場

第11章 日本市場

第12章:澳洲市場

第13章 印尼市場

第14章 韓國市場

第15章 西歐市場

第16章英國市場

第17章:德國市場

第18章:法國市場

第19章:義大利市場

第20章:西班牙市場

第21章 東歐市場

第22章 俄羅斯市場

第23章 北美市場

第24章美國市場

第25章:加拿大市場

第26章 南美洲市場

第27章:巴西市場

第28章 中東市場

第29章:非洲市場

第30章:競爭格局與公司概況

  • 人工智慧在農業領域的應用:競爭格局
  • 人工智慧(AI)在農業領域的市場:公司概況
    • Google LLC Overview, Products and Services, Strategy and Financial Analysis
    • Microsoft Corporation Overview, Products and Services, Strategy and Financial Analysis
    • IBM Corporation Overview, Products and Services, Strategy and Financial Analysis
    • Bayer AG Overview, Products and Services, Strategy and Financial Analysis
    • John Deere Overview, Products and Services, Strategy and Financial Analysis

第31章:其他領先和創新企業

  • Oracle Corporation
  • CNH Industrial NV
  • Wipro Limited.
  • Valmont Industries Inc.
  • Raven Industries Inc.
  • Climate LLC
  • Granular Inc.
  • Ag Leader Technology Inc.
  • FarmWise Labs Inc.
  • Taranis
  • Ceres Imaging
  • AgEagle Aerial Systems Inc.
  • PrecisionHawk
  • Descartes Labs Inc.
  • Farmobile LLC

第32章 全球市場競爭基準化分析與儀錶板

第33章 重大併購

第34章 近期市場趨勢

第35章:高潛力市場國家、細分市場與策略

  • 2029年農業人工智慧(AI)市場:提供新機會的國家
  • 2029年農業人工智慧(AI)市場:新興領域蘊藏新的機會
  • 2029年農業人工智慧(AI)市場:成長策略
    • 基於市場趨勢的策略
    • 競爭對手策略

第36章附錄

簡介目錄
Product Code: r24675u

Artificial intelligence (AI) in agriculture involves the use of modern technology and machine learning algorithms to optimize agricultural operations and enhance farm output. AI applications in agriculture encompass crop monitoring and yield prediction, precision farming techniques, automated machinery and robots, disease and insect detection, and efficient resource management.

The main components of artificial intelligence (AI) in agriculture consist of hardware, software, and services. Hardware refers to the physical components and equipment employed in AI applications in agriculture, including sensors, robotics, and harvesting equipment. These devices are utilized for data collection, crop health monitoring, and automated harvesting operations. The technologies involved encompass machine learning, predictive analysis, and computer vision. These AI systems can be deployed in the cloud, on-premises, or through a hybrid infrastructure. The applications of AI in agriculture span precision farming, agriculture robots, livestock monitoring, drone analytics, labor management, and more.

Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report's Recommendations and Conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.

The sharp rise in U.S. tariffs and the ensuing trade tensions in spring 2025 are having a significant impact on the information technology sector, especially in hardware manufacturing, data infrastructure, and software deployment. Increased duties on imported semiconductors, circuit boards, and networking equipment have driven up production and operating costs for tech companies, cloud service providers, and data centers. Firms that depend on globally sourced components for laptops, servers, and consumer electronics are grappling with extended lead times and mounting pricing pressures. At the same time, tariffs on specialized software and retaliatory actions by key international markets have disrupted global IT supply chains and dampened foreign demand for U.S.-made technologies. In response, the sector is ramping up investments in domestic chip production, broadening its supplier network, and leveraging AI-powered automation to improve resilience and manage costs more effectively.

The artificial intelligence (AI) in agriculture market research report is one of a series of new reports from The Business Research Company that provides artificial intelligence (AI) in agriculture market statistics, including artificial intelligence (AI) in agriculture industry global market size, regional shares, competitors with artificial intelligence (AI) in agriculture market share, detailed artificial intelligence (AI) in agriculture market segments, market trends, and opportunities, and any further data you may need to thrive in the artificial intelligence (AI) in agriculture industry. This artificial intelligence (AI) in agriculture market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenarios of the industry.

The artificial intelligence (ai) in agriculture market size has grown exponentially in recent years. It will grow from $2.23 billion in 2024 to $2.71 billion in 2025 at a compound annual growth rate (CAGR) of 21.6%. The growth in the historic period can be attributed to precision agriculture adoption, data availability, farm mechanization, climate change impact, labor shortages.

The artificial intelligence (ai) in agriculture market size is expected to see exponential growth in the next few years. It will grow to $6.56 billion in 2029 at a compound annual growth rate (CAGR) of 24.7%. The growth in the forecast period can be attributed to iot integration, enhanced ai algorithms, increased adoption of drones, global food demand, digital agriculture platforms, ai-driven crop breeding, ai in pest control. Major trends in the forecast period include advancements in satellite imaging, smart irrigation systems, blockchain for supply chain, farm robot integration, multi-sensor fusion, collaborations between technology companies and agricultural organizations.

The forecast of 24.7% growth over the next five years reflects a slight reduction of 0.2% from the previous projection. This reduction is primarily due to the impact of tariffs between the US and other countries. This is likely to directly affect the US by reducing crop yield predictions due to restricted access to AI-driven weather modeling tools developed in Israel. The effect will also be felt more widely due to reciprocal tariffs and the negative effect on the global economy and trade due to increased trade tensions and restrictions.

The imperative for increased food production to ensure food security is anticipated to drive the expansion of the artificial intelligence (AI) in agriculture market. Food security, encompassing the availability, accessibility, and utilization of food that meets dietary needs, is crucial for maintaining an active and healthy life. Artificial intelligence plays a pivotal role in optimizing agricultural processes, enhancing crop yields, and analyzing extensive datasets, including weather patterns, soil conditions, and crop health. By providing real-time insights and precise recommendations, AI aids farmers in making informed decisions regarding irrigation, fertilization, pest management, and harvesting. This results in heightened productivity, reduced waste, maximized food output, and enhanced global food security. For example, as of July 2023, the Food and Agriculture Organization reported a 0.2% monthly increase in global cereal production, reaching 2,819 million tons, with wheat utilization projected to rise to 780 million tons in 2022-2023. Hence, the imperative for increased food production to ensure food security is poised to propel the artificial intelligence (AI) in agriculture market.

The ascent of agriculture technology, known as AgTech, is expected to be a driving force behind the growth of the artificial intelligence (AI) in agriculture market. AgTech involves applying technological innovations, creativity, and data-driven solutions to enhance various aspects of agricultural production and management. The incorporation of artificial intelligence into agriculture technology has the potential to revolutionize farming processes, making them more efficient, sustainable, and resilient to various challenges. Notably, as of August 2023, the United States Department of Agriculture reported a 3% year-on-year increase, with 32% of farms using the internet to acquire agricultural inputs. Among these, 51% utilized a broadband connection, while 75% relied on a cellular data plan. Consequently, the rise of agriculture technology is fostering the growth of the artificial intelligence (AI) in agriculture market.

Product innovations are a significant trend gaining traction in the artificial intelligence (AI) agriculture market. Major companies in this sector are concentrating on developing innovative platforms aimed at enhancing yield predictions, improving decision-making, and promoting sustainable farming practices. A "groundbreaking platform" refers to an innovative system or technology that transforms practices within the industry, establishing new benchmarks and encouraging further advancements. It typically addresses unmet needs and presents novel solutions. For instance, in September 2024, Helios AI, a US-based software company, introduced CommodiTrack, an advanced platform that integrates extensive climate risk data and predictive analytics to bolster the resilience of the agrifood supply chain. This platform provides users with actionable insights, allowing them to quickly adapt to market volatility and disruptions.

Prominent companies operating in the artificial intelligence (AI) in agriculture market are channeling their efforts into pioneering technologies, including GPS guidance systems. A GPS guidance system utilizes signals from the Global Positioning System to provide precise navigation for vehicles or machinery operating in the field. In January 2022, Deere & Company, a US-based manufacturing company, introduced a fully autonomous tractor incorporating the 8R tractor, a TruSet-enabled chisel plow, GPS navigation, and innovative technology. Equipped with six pairs of stereo cameras for obstacle identification, the autonomous tractor employs a deep neural network for rapid image processing and decision-making, ensuring accurate and efficient field operations.

In October 2023, Rockwell Automation, a US-based automation company, acquired Clearpath Robotics for an undisclosed amount. Rockwell Automation seeks to enhance its industrial automation portfolio by incorporating advanced autonomous mobile robots to streamline production logistics. This strategic move positions Rockwell to take advantage of the rising demand for efficient, connected manufacturing solutions. Clearpath Robotics, a Canadian robotics firm, integrates autonomous vehicles with AI to optimize agricultural tasks such as planting and harvesting, thereby improving efficiency and precision. This integration facilitates data-driven decision-making, resulting in increased yields and more sustainable farming practices.

Major companies operating in the artificial intelligence (AI) in agriculture market include Google LLC, Microsoft Corporation, IBM Corporation, Bayer AG, John Deere, Oracle Corporation, CNH Industrial N.V., Wipro Limited., Valmont Industries Inc., Raven Industries Inc., Climate LLC, Granular Inc., Ag Leader Technology Inc., FarmWise Labs Inc., Taranis, Ceres Imaging, AgEagle Aerial Systems Inc., PrecisionHawk, Descartes Labs Inc., Farmobile LLC, AppHarvest, Farmers Edge Inc., Iron Ox, Prospera Technologies, aWhere Inc., Agribotix, Abundant Robotics, Agworld, Harvest Croo Robotics, Gamaya SA, Tule Technologies

North America was the largest region in the artificial intelligence (AI) in agriculture market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the artificial intelligence (ai) in agriculture market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa

The countries covered in the artificial intelligence (ai) in agriculture market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Italy, Spain, Canada.

The artificial intelligence (AI) in the agriculture market consists of revenues earned by entities by providing services such as precision agriculture, crop management, farm equipment automation, supply chain optimization, crop monitoring, and surveillance. The market value includes the value of related goods sold by the service provider or included within the service offering. The artificial intelligence (AI) in the agriculture market also includes sales of sensors, drones, robots, and satellites, which are used in providing artificial intelligence (AI) in agriculture services. Values in this market are 'factory gate' values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

Artificial Intelligence (AI) In Agriculture Global Market Report 2025 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses on artificial intelligence (ai) in agriculture market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

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Where is the largest and fastest growing market for artificial intelligence (ai) in agriculture ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The artificial intelligence (ai) in agriculture market global report from the Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

  • The market characteristics section of the report defines and explains the market.
  • The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
  • The forecasts are made after considering the major factors currently impacting the market. These include:

The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.

  • Market segmentations break down the market into sub markets.
  • The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth.
  • The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
  • The trends and strategies section analyses the shape of the market as it emerges from the crisis and suggests how companies can grow as the market recovers.

Scope

  • Markets Covered:1) By Component: Hardware; Software; Services
  • 2) By Technology: Machine Learning; Predictive Analysis; Computer Vision
  • 3) By Deployment: Cloud; On-Premise; Hybrid
  • 4) By Application: Precision Farming; Agriculture Robots; Livestock Monitoring; Drone Analytics; Labor Management; Other Applications
  • Subsegments:
  • 1) By Hardware: Sensors; Drones; Imaging Systems; Robotics; Automated Equipment
  • 2) By Software: Data Analytics Platforms; Farm Management Software; AI-Based Prediction Tools; Image Processing Software
  • 3) By Services: Consulting Services; System Integration Services; Maintenance And Support Services
  • Companies Mentioned: Google LLC; Microsoft Corporation; IBM Corporation; Bayer AG; John Deere; Oracle Corporation; CNH Industrial N.V.; Wipro Limited.; Valmont Industries Inc.; Raven Industries Inc.; Climate LLC; Granular Inc.; Ag Leader Technology Inc.; FarmWise Labs Inc.; Taranis; Ceres Imaging; AgEagle Aerial Systems Inc.; PrecisionHawk; Descartes Labs Inc.; Farmobile LLC; AppHarvest; Farmers Edge Inc.; Iron Ox; Prospera Technologies; aWhere Inc.; Agribotix; Abundant Robotics; Agworld; Harvest Croo Robotics; Gamaya SA; Tule Technologies
  • Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Russia; South Korea; UK; USA; Canada; Italy; Spain
  • Regions: Asia-Pacific; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
  • Time Series: Five years historic and ten years forecast.
  • Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita,
  • Data Segmentations: country and regional historic and forecast data, market share of competitors, market segments.
  • Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
  • Delivery Format: PDF, Word and Excel Data Dashboard.

Table of Contents

1. Executive Summary

2. Artificial Intelligence (AI) In Agriculture Market Characteristics

3. Artificial Intelligence (AI) In Agriculture Market Trends And Strategies

4. Artificial Intelligence (AI) In Agriculture Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Trade Wars and Tariffs, And Covid And Recovery On The Market

  • 4.1. Supply Chain Impact from Tariff War & Trade Protectionism

5. Global Artificial Intelligence (AI) In Agriculture Growth Analysis And Strategic Analysis Framework

  • 5.1. Global Artificial Intelligence (AI) In Agriculture PESTEL Analysis (Political, Social, Technological, Environmental and Legal Factors, Drivers and Restraints)
  • 5.2. Analysis Of End Use Industries
  • 5.3. Global Artificial Intelligence (AI) In Agriculture Market Growth Rate Analysis
  • 5.4. Global Artificial Intelligence (AI) In Agriculture Historic Market Size and Growth, 2019 - 2024, Value ($ Billion)
  • 5.5. Global Artificial Intelligence (AI) In Agriculture Forecast Market Size and Growth, 2024 - 2029, 2034F, Value ($ Billion)
  • 5.6. Global Artificial Intelligence (AI) In Agriculture Total Addressable Market (TAM)

6. Artificial Intelligence (AI) In Agriculture Market Segmentation

  • 6.1. Global Artificial Intelligence (AI) In Agriculture Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Hardware
  • Software
  • Services
  • 6.2. Global Artificial Intelligence (AI) In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Machine Learning
  • Predictive Analysis
  • Computer Vision
  • 6.3. Global Artificial Intelligence (AI) In Agriculture Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Cloud
  • On-Premise
  • Hybrid
  • 6.4. Global Artificial Intelligence (AI) In Agriculture Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Precision Farming
  • Agriculture Robots
  • Livestock Monitoring
  • Drone Analytics
  • Labor Management
  • Other Applications
  • 6.5. Global Artificial Intelligence (AI) In Agriculture Market, Sub-Segmentation Of Hardware, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Sensors
  • Drones
  • Imaging Systems
  • Robotics
  • Automated Equipment
  • 6.6. Global Artificial Intelligence (AI) In Agriculture Market, Sub-Segmentation Of Software, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Data Analytics Platforms
  • Farm Management Software
  • AI-Based Prediction Tools
  • Image Processing Software
  • 6.7. Global Artificial Intelligence (AI) In Agriculture Market, Sub-Segmentation Of Services, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Consulting Services
  • System Integration Services
  • Maintenance And Support Services

7. Artificial Intelligence (AI) In Agriculture Market Regional And Country Analysis

  • 7.1. Global Artificial Intelligence (AI) In Agriculture Market, Split By Region, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 7.2. Global Artificial Intelligence (AI) In Agriculture Market, Split By Country, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

8. Asia-Pacific Artificial Intelligence (AI) In Agriculture Market

  • 8.1. Asia-Pacific Artificial Intelligence (AI) In Agriculture Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 8.2. Asia-Pacific Artificial Intelligence (AI) In Agriculture Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 8.3. Asia-Pacific Artificial Intelligence (AI) In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 8.4. Asia-Pacific Artificial Intelligence (AI) In Agriculture Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

9. China Artificial Intelligence (AI) In Agriculture Market

  • 9.1. China Artificial Intelligence (AI) In Agriculture Market Overview
  • 9.2. China Artificial Intelligence (AI) In Agriculture Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
  • 9.3. China Artificial Intelligence (AI) In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
  • 9.4. China Artificial Intelligence (AI) In Agriculture Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion

10. India Artificial Intelligence (AI) In Agriculture Market

  • 10.1. India Artificial Intelligence (AI) In Agriculture Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 10.2. India Artificial Intelligence (AI) In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 10.3. India Artificial Intelligence (AI) In Agriculture Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

11. Japan Artificial Intelligence (AI) In Agriculture Market

  • 11.1. Japan Artificial Intelligence (AI) In Agriculture Market Overview
  • 11.2. Japan Artificial Intelligence (AI) In Agriculture Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 11.3. Japan Artificial Intelligence (AI) In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 11.4. Japan Artificial Intelligence (AI) In Agriculture Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

12. Australia Artificial Intelligence (AI) In Agriculture Market

  • 12.1. Australia Artificial Intelligence (AI) In Agriculture Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 12.2. Australia Artificial Intelligence (AI) In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 12.3. Australia Artificial Intelligence (AI) In Agriculture Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

13. Indonesia Artificial Intelligence (AI) In Agriculture Market

  • 13.1. Indonesia Artificial Intelligence (AI) In Agriculture Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 13.2. Indonesia Artificial Intelligence (AI) In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 13.3. Indonesia Artificial Intelligence (AI) In Agriculture Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

14. South Korea Artificial Intelligence (AI) In Agriculture Market

  • 14.1. South Korea Artificial Intelligence (AI) In Agriculture Market Overview
  • 14.2. South Korea Artificial Intelligence (AI) In Agriculture Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 14.3. South Korea Artificial Intelligence (AI) In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 14.4. South Korea Artificial Intelligence (AI) In Agriculture Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

15. Western Europe Artificial Intelligence (AI) In Agriculture Market

  • 15.1. Western Europe Artificial Intelligence (AI) In Agriculture Market Overview
  • 15.2. Western Europe Artificial Intelligence (AI) In Agriculture Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 15.3. Western Europe Artificial Intelligence (AI) In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 15.4. Western Europe Artificial Intelligence (AI) In Agriculture Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

16. UK Artificial Intelligence (AI) In Agriculture Market

  • 16.1. UK Artificial Intelligence (AI) In Agriculture Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 16.2. UK Artificial Intelligence (AI) In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 16.3. UK Artificial Intelligence (AI) In Agriculture Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

17. Germany Artificial Intelligence (AI) In Agriculture Market

  • 17.1. Germany Artificial Intelligence (AI) In Agriculture Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 17.2. Germany Artificial Intelligence (AI) In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 17.3. Germany Artificial Intelligence (AI) In Agriculture Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

18. France Artificial Intelligence (AI) In Agriculture Market

  • 18.1. France Artificial Intelligence (AI) In Agriculture Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 18.2. France Artificial Intelligence (AI) In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 18.3. France Artificial Intelligence (AI) In Agriculture Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

19. Italy Artificial Intelligence (AI) In Agriculture Market

  • 19.1. Italy Artificial Intelligence (AI) In Agriculture Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 19.2. Italy Artificial Intelligence (AI) In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 19.3. Italy Artificial Intelligence (AI) In Agriculture Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

20. Spain Artificial Intelligence (AI) In Agriculture Market

  • 20.1. Spain Artificial Intelligence (AI) In Agriculture Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 20.2. Spain Artificial Intelligence (AI) In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 20.3. Spain Artificial Intelligence (AI) In Agriculture Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

21. Eastern Europe Artificial Intelligence (AI) In Agriculture Market

  • 21.1. Eastern Europe Artificial Intelligence (AI) In Agriculture Market Overview
  • 21.2. Eastern Europe Artificial Intelligence (AI) In Agriculture Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 21.3. Eastern Europe Artificial Intelligence (AI) In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 21.4. Eastern Europe Artificial Intelligence (AI) In Agriculture Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

22. Russia Artificial Intelligence (AI) In Agriculture Market

  • 22.1. Russia Artificial Intelligence (AI) In Agriculture Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 22.2. Russia Artificial Intelligence (AI) In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 22.3. Russia Artificial Intelligence (AI) In Agriculture Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

23. North America Artificial Intelligence (AI) In Agriculture Market

  • 23.1. North America Artificial Intelligence (AI) In Agriculture Market Overview
  • 23.2. North America Artificial Intelligence (AI) In Agriculture Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 23.3. North America Artificial Intelligence (AI) In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 23.4. North America Artificial Intelligence (AI) In Agriculture Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

24. USA Artificial Intelligence (AI) In Agriculture Market

  • 24.1. USA Artificial Intelligence (AI) In Agriculture Market Overview
  • 24.2. USA Artificial Intelligence (AI) In Agriculture Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 24.3. USA Artificial Intelligence (AI) In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 24.4. USA Artificial Intelligence (AI) In Agriculture Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

25. Canada Artificial Intelligence (AI) In Agriculture Market

  • 25.1. Canada Artificial Intelligence (AI) In Agriculture Market Overview
  • 25.2. Canada Artificial Intelligence (AI) In Agriculture Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 25.3. Canada Artificial Intelligence (AI) In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 25.4. Canada Artificial Intelligence (AI) In Agriculture Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

26. South America Artificial Intelligence (AI) In Agriculture Market

  • 26.1. South America Artificial Intelligence (AI) In Agriculture Market Overview
  • 26.2. South America Artificial Intelligence (AI) In Agriculture Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 26.3. South America Artificial Intelligence (AI) In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 26.4. South America Artificial Intelligence (AI) In Agriculture Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

27. Brazil Artificial Intelligence (AI) In Agriculture Market

  • 27.1. Brazil Artificial Intelligence (AI) In Agriculture Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 27.2. Brazil Artificial Intelligence (AI) In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 27.3. Brazil Artificial Intelligence (AI) In Agriculture Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

28. Middle East Artificial Intelligence (AI) In Agriculture Market

  • 28.1. Middle East Artificial Intelligence (AI) In Agriculture Market Overview
  • 28.2. Middle East Artificial Intelligence (AI) In Agriculture Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 28.3. Middle East Artificial Intelligence (AI) In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 28.4. Middle East Artificial Intelligence (AI) In Agriculture Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

29. Africa Artificial Intelligence (AI) In Agriculture Market

  • 29.1. Africa Artificial Intelligence (AI) In Agriculture Market Overview
  • 29.2. Africa Artificial Intelligence (AI) In Agriculture Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 29.3. Africa Artificial Intelligence (AI) In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 29.4. Africa Artificial Intelligence (AI) In Agriculture Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

30. Artificial Intelligence (AI) In Agriculture Market Competitive Landscape And Company Profiles

  • 30.1. Artificial Intelligence (AI) In Agriculture Market Competitive Landscape
  • 30.2. Artificial Intelligence (AI) In Agriculture Market Company Profiles
    • 30.2.1. Google LLC Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.2. Microsoft Corporation Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.3. IBM Corporation Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.4. Bayer AG Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.5. John Deere Overview, Products and Services, Strategy and Financial Analysis

31. Artificial Intelligence (AI) In Agriculture Market Other Major And Innovative Companies

  • 31.1. Oracle Corporation
  • 31.2. CNH Industrial N.V.
  • 31.3. Wipro Limited.
  • 31.4. Valmont Industries Inc.
  • 31.5. Raven Industries Inc.
  • 31.6. Climate LLC
  • 31.7. Granular Inc.
  • 31.8. Ag Leader Technology Inc.
  • 31.9. FarmWise Labs Inc.
  • 31.10. Taranis
  • 31.11. Ceres Imaging
  • 31.12. AgEagle Aerial Systems Inc.
  • 31.13. PrecisionHawk
  • 31.14. Descartes Labs Inc.
  • 31.15. Farmobile LLC

32. Global Artificial Intelligence (AI) In Agriculture Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The Artificial Intelligence (AI) In Agriculture Market

34. Recent Developments In The Artificial Intelligence (AI) In Agriculture Market

35. Artificial Intelligence (AI) In Agriculture Market High Potential Countries, Segments and Strategies

  • 35.1 Artificial Intelligence (AI) In Agriculture Market In 2029 - Countries Offering Most New Opportunities
  • 35.2 Artificial Intelligence (AI) In Agriculture Market In 2029 - Segments Offering Most New Opportunities
  • 35.3 Artificial Intelligence (AI) In Agriculture Market In 2029 - Growth Strategies
    • 35.3.1 Market Trend Based Strategies
    • 35.3.2 Competitor Strategies

36. Appendix

  • 36.1. Abbreviations
  • 36.2. Currencies
  • 36.3. Historic And Forecast Inflation Rates
  • 36.4. Research Inquiries
  • 36.5. The Business Research Company
  • 36.6. Copyright And Disclaimer