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市场调查报告书
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1843645

2025年全球农业人工智慧（AI）市场报告

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个工作天内

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简介目录

近年来，人工智慧（AI）在农业领域的市场规模呈指数级增长，从2024年的22.3亿美元增长到2025年的27.1亿美元，复合年增长率达21.6%。这一增长可归因于精密农业的普及、数据的可近性、农业机械化、气候变迁的影响以及劳动力短缺等因素。

预计未来几年，农业人工智慧（AI）市场将呈指数级增长，到2029年市场规模将达到65.6亿美元，复合年增长率（CAGR）为24.7%。预测期内的成长主要归功于物联网（IoT）的整合、人工智慧演算法的改进、无人机应用的日益普及、全球粮食需求的成长、数位化农业平台的兴起、人工智慧主导的作物育种以及人工智慧在病虫害防治中的应用。预测期内的关键趋势包括卫星影像技术的进步、智慧灌溉系统的发展、区块链在供应链中的应用、农业机器人的整合、多感测器融合以及科技公司与农业组织的合作。

人工智慧（AI）在农业领域的应用是指利用现代技术和机器学习演算法来优化农场管理并提高农业产量。人工智慧在农业的应用包括作物监测和产量预测、精密农业技术、自主机械和机器人、病虫害检测以及高效的资源管理。

农业人工智慧 (AI) 的主要组成部分包括硬体、软体和服务。硬体指的是农业人工智慧应用中使用的实体组件和设备，例如感测器、机器人和收割设备。这些设备用于数据采集、作物健康监测和自动化收割。涉及的技术包括机器学习、预测分析和电脑视觉。这些人工智慧系统可以部署在云端、本地或混合基础架构上。人工智慧在农业的应用十分广泛，包括精密农业、农业机器人、牲畜监测、无人机分析和劳动力管理。

美国在2025年春季突然提高关税及其引发的贸易摩擦，对资讯科技产业，特别是硬体製造、资料基础设施和软体部署领域，产生了重大影响。进口半导体、电路基板和网路设备的关税上涨，推高了高科技公司、云端服务供应商和资料中心的生产和营运成本。在全球范围内采购笔记型电脑、伺服器和消费电子产品零件的公司，面临更长的前置作业时间和价格压力。同时，对专用软体征收的关税以及主要国际市场的报復性措施，扰乱了全球IT供应链，并降低了海外对美国製造技术的需求。为了应对这些挑战，该产业正在加大对国内晶片生产的投资，扩大供应商网络，并利用人工智慧驱动的自动化技术来增强韧性，更有效地控製成本。

本研究报告是商业研究公司（The Business Research Company）最新系列报告的一部分，该系列报告提供农业人工智慧（AI）市场统计数据，包括全球市场规模、区域份额、农业人工智慧（AI）市场份额竞争对手、详细的农业人工智慧（AI）市场细分、市场趋势和商业机会，为在农业人工智慧（AI）行业取得成功提供所需数据。这份农业人工智慧（AI）市场研究报告全面概​​述了所有必要信息，并对该行业的现状和未来发展趋势进行了详细分析。

未来五年24.7%的成长率预测较先前预测略微下调0.2%。这一下调主要归因于美国与其他国家之间的关税影响。由于以色列开发的AI主导天气建模工具的使用受限，美国可能会直接受到关税影响，导致作物产量预测下调。此外，由于相互关税以及贸易紧张局势和限制加剧对全球经济和贸易的负面影响，关税的影响范围将更加广泛。

为确保粮食安全，提高粮食产量的需求预计将推动农业领域人工智慧（AI）市场的扩张。粮食安全涵盖粮食的供应、取得和利用，以满足膳食需求，对于维持积极健康的生活方式至关重要。人工智慧在优化农业流程、提高作物产量以及分析包括天气模式、土壤状况和作物健康状况在内的庞大数据集方面发挥着至关重要的作用。透过提供即时洞察和精准建议，人工智慧帮助农民就灌溉、施肥、病虫害防治和收割等事项做出明智的决策。这最终将提高生产力、减少废弃物、最大限度地提高粮食产量并增强全球粮食安全。例如，截至2023年7月，联合国粮食及农业组织报告称，全球粮食产量每月增长0.2%，达到28.19亿吨，预计2022年至2023年小麦消费量将增加至7.8亿吨。因此，迫切需要提高粮食产量以确保粮食安全，而该国也已做好准备，推动农业领域人工智慧（AI）市场的发展。

农业科技（简称AgTech）的兴起预计将推动人工智慧（AI）在农业领域的市场成长。 AgTech是指运用创新、创造力和数据驱动的解决方案来提升农业生产和管理的各个方面。将人工智慧融入农业科技有望彻底改变农业生产流程，使其更有效率、永续，并增强应对各种挑战的能力。值得注意的是，截至2023年8月，美国农业部报告称，32%的农场使用互联网获取农产品信息，比上一年增长了3%。其中，51%的农场使用宽频连接，而75%的农场依赖行动电话资料方案。因此，农业科技的兴起正在推动人工智慧（AI）在农业领域的市场成长。

产品创新是人工智慧（AI）农业市场的一大趋势。该领域的主要企业正致力于开发突破性平台，旨在提高产量预测的准确性、改善决策并推广永续农业实践。 「突破性平台」指的是能够变革产业实践、树立新标竿并推动进一步发展的创新系统或技术。它通常旨在满足尚未被满足的需求并提供创新解决方案。例如，2024年9月，美国软体公司Helios AI推出了CommodiTrack，这是一个先进的平台，整合了广泛的气候风险数据和预测分析，旨在增强农业供应链的韧性。该平台为用户提供可操作的洞察，使他们能够快速适应市场波动和中断。

农业人工智慧 (AI) 市场的主要企业正专注于 GPS 导航系统等尖端技术。该系统利用全球定位系统 (GPS) 的讯号，为田间作业的车辆和机械提供精准导航。 2022 年 1 月，美国製造商迪尔公司 (Deere & Company) 发布了 8R 拖拉机，这是一款全自动拖拉机，配备了 TruSet 犁铧、GPS 导航系统和多项创新技术。这款自动拖拉机配备六对立体摄影机用于障碍物识别，并采用深度神经网路进行快速影像处理和决策，从而实现精准高效的田间作业。

2023年10月，美国自动化公司罗克韦尔自动化（Rockwell Automation）收购了Clearpath Robotics，具体金额未揭露。罗克韦尔自动化正透过整合先进的自主移动机器人来优化生产物流，从而强化其工业自动化产品组合。这项策略性倡议使罗克韦尔能够充分利用市场对高效互联製造解决方案日益增长的需求。加拿大机器人公司Clearpath Robotics透过将自动驾驶车辆与人工智慧结合，优化播种和收割等农业作业，从而提高效率和精确度。这种整合有助于数据主导的决策，最终提高产量并实现永续农业生产。

农业农业 (AI) 市场的主要参与者包括：Google有限责任公司、微软公司、IBM 公司、拜耳公司、约翰迪尔公司、甲骨文公司、凯斯纽荷兰工业集团、威普罗有限公司、瓦尔蒙特工业公司、雷文工业公司、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？

预计到2024年，北美将成为农业人工智慧（AI）市场最大的区域。亚太地区预计将成为预测期内成长最快的区域。这份农业人工智慧（AI）市场报告涵盖亚太地区、西欧、东欧、北美、南美、中东和非洲。

这份《农业人工智慧（AI）市场报告》涵盖的国家包括澳洲、巴西、中国、法国、德国、印度、印尼、日本、俄罗斯、韩国、英国、美国、义大利、西班牙和加拿大。

农业人工智慧（AI）市场由提供精密农业、作物管理、农机自动化、供应链优化、作物监测和监控等服务的营业单位所获得的收入所构成。市场价值还包括服务提供者销售的或包含在其服务产品中的任何相关商品的价值。农业人工智慧（AI）市场还包括用于提供农业人工智慧（AI）服务的感测器、无人机、机器人和卫星的销售。该市场的价值为“出厂价”，即商品製造商或生产商销售的商品价值，无论销售对像是其他营业单位（包括下游製造商、批发商、经销商和零售商）还是直接销售给最终客户。该市场中的商品价值还包括商品製造商提供的任何相关服务。

目录

第一章执行摘要

第二章 市场特征

第三章 市场趋势与策略

第四章 市场：宏观经济情景，包括利率、通货膨胀、地缘政治、贸易战和关税，以及新冠疫情及其復苏对市场的影响

第五章 全球成长分析与策略分析框架

  • 全球农业人工智慧（AI）应用：PESTEL分析（政治、社会、技术、环境、法律因素、驱动因素与限制因素）
  • 终端用户产业分析
  • 全球农业人工智慧（AI）市场：成长率分析
  • 全球农业人工智慧（AI）市场表现：规模与成长，2019-2024年
  • 全球农业人工智慧（AI）市场预测：规模与成长，2024-2029年，2034年预测
  • 人工智慧（AI）在农业领域的应用：全球潜在市场规模（TAM）

第六章 市场细分

  • 全球农业人工智慧（AI）市场：按组件划分，实际值和预测值，2019-2024年、2024-2029年预测值、2034年预测值
  • 硬体
  • 软体
  • 服务
  • 全球农业人工智慧（AI）市场：依技术、性能和预测划分，2019-2024年、2024-2029年预测、2034年预测
  • 机器学习
  • 预测分析
  • 电脑视觉
  • 全球农业人工智慧（AI）市场：按部署、性能和预测划分，2019-2024年、2024-2029年预测、2034年预测
  • 云
  • 本地部署
  • 杂交种
  • 全球农业人工智慧（AI）市场：按应用、效能和预测划分，2019-2024年、2024-2029年预测、2034年预测
  • 精密农业
  • 农业机器人
  • 牲畜监测
  • 无人机分析
  • 劳动管理
  • 其他用途
  • 全球农业人工智慧（AI）市场：细分、硬体（按类型）、效能与预测，2019-2024年、2024-2029年预测、2034年预测
  • 感应器
  • 无人机
  • 影像系统
  • 机器人技术
  • 自动化设备
  • 全球农业人工智慧（AI）市场：细分市场、软体（按类型）、效能和预测，2019-2024年、2024-2029年预测、2034年预测
  • 数据分析平台
  • 农场管理软体
  • 基于人工智慧的预测工具
  • 影像处理软体
  • 全球农业人工智慧（AI）市场：细分、服务（按类型）、绩效及预测，2019-2024年、2024-2029年预测、2034年预测
  • 咨询服务
  • 系统整合服务
  • 维护和支援服务

第七章 区域和国家分析

  • 全球农业人工智慧（AI）市场：区域分析、预测与成长，2019-2024年、2024-2029年预测、2034年预测
  • 全球农业人工智慧（AI）市场：国家、表现与预测，2019-2024年、2024-2029年预测、2034年预测

第八章 亚太市场

第九章：中国市场

第十章 印度市场

第十一章 日本市场

第十二章：澳洲市场

第十三章 印尼市场

第十四章 韩国市场

第十五章 西欧市场

第十六章英国市场

第十七章：德国市场

第十八章：法国市场

第十九章：义大利市场

第二十章：西班牙市场

第21章 东欧市场

第22章 俄罗斯市场

第23章 北美市场

第24章美国市场

第25章：加拿大市场

第26章 南美洲市场

第27章：巴西市场

第28章 中东市场

第29章：非洲市场

第三十章：竞争格局与公司概况

  • 人工智慧在农业领域的应用：竞争格局
  • 人工智慧（AI）在农业领域的市场：公司概况
    • 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：其他领先和创新企业

  • 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 全球市场竞争基准化分析与仪錶板

第33章 重大併购

第34章 近期市场趋势

第35章：高潜力市场国家、细分市场与策略

  • 2029年农业人工智慧（AI）市场：提供新机会的国家
  • 2029年农业人工智慧（AI）市场：新兴领域蕴藏新的机会
  • 2029年农业人工智慧（AI）市场：成长策略
    • 基于市场趋势的策略
    • 竞争对手策略

第36章附录

简介目录
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