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市场调查报告书
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1996202

2026年全球农业应用人工智慧市场报告

Applied AI In Agriculture Global Market Report 2026
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，人工智慧在农业领域的市场规模呈现爆炸性成长。预计该市场规模将从2025年的37.5亿美元成长到2026年的48.6亿美元，复合年增长率将达到29.6%。成长要素包括：农业领域早期采用基础自动化技术、对更有效率作物监测的需求日益增长、感测器产生的农业数据不断增加、减少对人力的依赖以及精密农业概念的兴起。

预计未来几年，人工智慧在农业领域的应用市场规模将大幅成长，到2030年将达到135.7亿美元，复合年增长率（CAGR）高达29.3%。这一增长预计将受到以下因素的推动：人工智慧驱动的预测分析应用日益广泛、自主农业机械的普及、对数位化农业平台的投资增加、人工智慧主导的牲畜监测的扩展，以及对人工智慧解决方案支持的永续农业的需求。预测期内的关键趋势包括：人工智慧驱动的作物和土壤健康评估应用日益普及、数据驱动的农业决策实践不断增长、大规模农业生产中自动化整合技术的进步、对即时农业监测解决方案的需求不断增长，以及对人工智慧驱动的增产技术的日益关注。

作物产量的提高预计将推动人工智慧在农业领域的应用市场扩张。作物产量是指作物的产量，通常以单位面积产量来衡量。由于农业技术和方法的进步，例如改良作物品种的开发、更有效率的灌溉方法以及精密农业技术的引入，作物产量正在不断提高。人工智慧在农业领域的应用，透过数据驱动的洞察、预测分析和自动化来优化农业实践，从而提高作物产量。例如，美国农业部（USDA）在2024年1月报告称，2023年美国水稻的平均产量预计为每英亩7649磅，比2022年的平均产量每英亩7385磅增加264磅。因此，作物产量的提高正在推动人工智慧在农业领域的应用市场成长。

农业人工智慧应用市场的主要企业正致力于开发创新解决方案，例如基于人工智慧的工具，以巩固其市场地位。这些基于人工智慧的工具是指利用人工智慧技术来改进农业和耕作方式各个方面的软体和技术。例如，2024年7月，总部位于美国的科技公司Google推出了一款名为「农业景观理解」（ALU）的人工智慧工具，旨在提升印度的农业实践，并专注于抗旱和灌溉管理。 ALU工具利用高解析度卫星影像和机器学习技术，针对印度农业环境的多样化需求，提供量身定制的农地分析。透过明确划分农田边界，该工具能够分析作物类型、农场规模以及与水源的接近性等因素，这些因素对于有效灌溉和抗旱至关重要。该计划旨在透过提高作物产量、简化资金筹措管道和扩大农产品市场进入，帮助农民实现自给自足。

目录

第一章执行摘要

第二章 市场特征

  • 市场定义和范围
  • 市场区隔
  • 主要产品和服务概述
  • 全球农业应用人工智慧市场：吸引力评分与分析
  • 成长潜力分析、竞争评估、策略适宜性评估、风险状况评估

第三章 市场供应链分析

  • 供应链与生态系概述
  • 清单：主要原料、资源和供应商
  • 主要经销商和通路合作伙伴名单
  • 主要最终用户列表

第四章：全球市场趋势与策略

  • 关键科技与未来趋势
    • 人工智慧（AI）和自主人工智慧
    • 工业4.0和智慧製造
    • 物联网、智慧基础设施、互联生态系统
    • 数位化、云端运算、巨量资料、网路安全
    • 自主系统、机器人、智慧运输
  • 主要趋势
    • 广泛采用人工智慧技术评估作物和土壤健康状况。
    • 扩大数据驱动型农业决策的实践
    • 大规模农业生产中自动化技术的整合正在不断推进。
    • 对即时农业监测解决方案的需求日益增长
    • 人们对人工智慧驱动的产量提昇技术越来越感兴趣。

第五章 终端用户产业市场分析

  • 农民和生产者
  • 农业合作社
  • 农业技术公司
  • 食品和饮料製造商
  • 研究机构和学术机构

第六章 市场：宏观经济情景，包括利率、通货膨胀、地缘政治、贸易战和关税的影响、关税战和贸易保护主义对供应链的影响，以及 COVID-19 疫情对市场的影响。

第七章：全球策略分析架构、目前市场规模、市场对比及成长率分析

  • 全球农业应用人工智慧市场：PESTEL 分析（政治、社会、技术、环境、法律因素、驱动因素和限制因素）
  • 全球农业应用人工智慧市场规模、对比及成长率分析
  • 全球农业应用人工智慧市场表现：规模与成长，2020-2025年
  • 全球农业应用人工智慧市场预测：规模与成长，2025-2030年及2035年预测

第八章：全球市场总规模（TAM）

第九章 市场细分

  • 按组件
  • 硬体、软体、服务
  • 透过技术
  • 机器学习与深度学习、预测分析、电脑视觉
  • 透过使用
  • 精密农业、无人机分析、农业机器人、牲畜监测等应用。
  • 按类型细分：硬体
  • 感测器（土壤、气候、作物监测）、作物监测无人机、自主拖拉机和收割机、用于精密农业、成像系统、用于农业监测的物联网设备以及用于播种、种植和除草的机器人。
  • 按类型细分：软体
  • 农场管理软体、基于人工智慧的作物预测软体、精密农业软体、灌溉管理软体、病虫害检测软体、数据分析和视觉化工具、供应链优化软体、用于产量预测的机器学习演算法。
  • 按类型细分：服务
  • AI整合和实施服务、作物和土壤分析资料分析服务、基于云端的农业服务、AI模型训练和客製化服务、维护和支援服务、AI在农业领域实施的咨询和顾问服务。

第十章 区域与国别分析

  • 全球农业应用人工智慧市场：按地区划分，实际数据和预测数据，2020-2025年、2025-2030年、2035年
  • 全球农业应用人工智慧市场：按国家划分，实际数据和预测数据，2020-2025年、2025-2030年、2035年

第十一章 亚太市场

第十二章：中国市场

第十三章：印度市场

第十四章：日本市场

第十五章：澳洲市场

第十六章：印尼市场

第十七章：韩国市场

第十八章 台湾市场

第十九章 东南亚市场

第20章 西欧市场

第21章英国市场

第22章：德国市场

第23章：法国市场

第24章：义大利市场

第25章：西班牙市场

第26章：东欧市场

第27章：俄罗斯市场

第28章 北美市场

第29章：美国市场

第三十章：加拿大市场

第31章：南美市场

第32章：巴西市场

第33章 中东市场

第34章：非洲市场

第三十五章 市场监理与投资环境

第三十六章：竞争格局与公司概况

  • 农业应用人工智慧市场：竞争格局与市场份额，2024 年
  • 农业应用人工智慧市场：公司估值矩阵
  • 农业应用人工智慧市场：公司概况
    • Microsoft Corporation
    • BASF SE
    • International Business Machines Corporation
    • Bayer AG
    • Deere & Company

第37章 其他大型企业和创新企业

  • SAP SE, CNH Industrial NV, Kubota Corporation, Corteva Inc., AGCO Corporation, Trimble Inc., Raven Industries Inc., The Climate Corporation, AG Leader Technology, The BAE Systems Taranis, Farmers Edge Inc., PrecisionHawk, AgEagle Aerial Systems, Descartes Labs Inc., Prospera Technologies Ltd.

第38章：全球市场竞争基准分析与仪錶板

第39章 重大併购

第四十章：具有高市场潜力的国家、细分市场与策略

  • 2030年农业应用人工智慧市场：提供新机会的国家
  • 2030年农业应用人工智慧市场：新兴领域蕴藏新的机会
  • 2030年农业应用人工智慧市场：成长策略
    • 基于市场趋势的策略
    • 竞争对手的策略

第41章附录

简介目录
Product Code: AG2MAAAI01_G26Q1

Applied artificial intelligence (AI) in agriculture involves using AI technologies to optimize and enhance various farming practices. This includes employing AI-driven tools and systems to analyze data, automate tasks, and provide actionable insights that improve decision-making and efficiency in agriculture.

The main components of applied AI in agriculture are hardware, software, and services. Hardware refers to the physical devices and equipment used to deploy AI technologies, such as sensors, drones, cameras, and other machinery that collect field data. Various technologies, including machine learning and deep learning, predictive analytics, and computer vision, are utilized in applications such as precision farming, drone analytics, agricultural robotics, livestock monitoring, 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.

Tariffs on hardware components such as sensors, drones, robotics, and IoT devices are increasing procurement costs for AI-enabled agricultural systems, impacting adoption rates across precision farming, drone analytics, and livestock monitoring. Regions dependent on imported technology particularly Asia-Pacific, Europe, and Latin America are experiencing higher deployment costs, while domestic manufacturers in North America and parts of Asia benefit from reduced foreign competition. Although tariffs raise barriers for technology integration, they also encourage local production, innovation, and value-chain development within agricultural AI ecosystems.

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

The applied ai in agriculture market size has grown exponentially in recent years. It will grow from $3.75 billion in 2025 to $4.86 billion in 2026 at a compound annual growth rate (CAGR) of 29.6%. The growth in the historic period can be attributed to early adoption of basic automation in farming, growing need for crop monitoring efficiency, increasing agricultural data generation from sensors, demand for reduced manual labor dependency, emergence of precision farming concepts.

The applied ai in agriculture market size is expected to see exponential growth in the next few years. It will grow to $13.57 billion in 2030 at a compound annual growth rate (CAGR) of 29.3%. The growth in the forecast period can be attributed to rising use of AI-enabled predictive analytics, increasing deployment of autonomous agricultural machinery, growing investment in digital farm platforms, expansion of ai-driven livestock monitoring, demand for sustainable farming supported by ai solutions. Major trends in the forecast period include growing adoption of AI-based crop and soil health assessment, expansion of data-driven farm decision-making practices, rising integration of automation in large-scale farming operations, increasing demand for real-time agricultural monitoring solutions, greater focus on ai-supported yield enhancement techniques.

The growing crop productivity is expected to drive the expansion of the applied AI in agriculture market moving forward. Crop productivity refers to the output of crops, typically measured in terms of yield per unit area of land. This is increasing due to advancements in agricultural technologies and practices, such as the development of improved crop varieties, more efficient irrigation methods, and the adoption of precision farming techniques. Applied AI in agriculture contributes to higher crop productivity by optimizing farming practices with data-driven insights, predictive analytics, and automation. For example, in January 2024, the United States Department of Agriculture (USDA) reported that the average yield for U.S. rice in 2023 was estimated at 7,649 pounds per acre, an increase of 264 pounds from the 2022 average yield of 7,385 pounds per acre. As a result, the rise in crop productivity is fueling the growth of the applied AI in agriculture market.

Key players in the applied AI in agriculture market are focusing on developing innovative solutions, such as AI-based tools, to maintain their market position. These AI-based tools are software and technologies that leverage artificial intelligence to improve various aspects of farming and agricultural practices. For example, in July 2024, Google LLC, a US-based technology company, introduced an AI-based tool called Agricultural Landscape Understanding (ALU) to enhance agricultural practices in India, with a focus on drought preparedness and irrigation management. The ALU tool uses high-resolution satellite imagery and machine learning to offer tailored insights for individual farm fields, addressing the diverse needs of India's agricultural landscape. By defining clear field boundaries, the tool analyzes factors such as crop type, field size, and proximity to water sources, which are vital for effective irrigation and drought management strategies. This initiative aims to empower farmers by improving crop yields, facilitating access to capital, and enhancing market access for agricultural products.

In August 2023, PTx Trimble, a US-based farming company, acquired Bilberry for an undisclosed amount. This acquisition is intended to boost Trimble's precision agriculture capabilities, particularly in selective spraying technologies. Bilberry, also a US-based company, specializes in AI-driven weed recognition systems that enable precise herbicide application.

Major companies operating in the applied ai in agriculture market are Microsoft Corporation, BASF SE, International Business Machines Corporation, Bayer AG, Deere & Company, SAP SE, CNH Industrial N.V., Kubota Corporation, Corteva Inc., AGCO Corporation, Trimble Inc., Raven Industries Inc., The Climate Corporation, AG Leader Technology, The BAE Systems Taranis, Farmers Edge Inc., PrecisionHawk, AgEagle Aerial Systems, Descartes Labs Inc., Prospera Technologies Ltd., Agribotix, Gamaya

North America was the largest region in the applied AI in agriculture market in 2025. The regions covered in the applied ai in agriculture market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

The countries covered in the applied ai in agriculture market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain

The applied AI in agriculture market consists of revenues earned by entities by providing services such as crop management, livestock monitoring, soil analysis, weather prediction, pest and disease detection, and supply chain optimization. The market value includes the value of related goods sold by the service provider or included within the service offering. The applied AI in agriculture market also includes sales of sensors, robots, satellite imagery systems, and field cameras. 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.

Applied AI In Agriculture Market Global Report 2026 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses applied 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.

Reasons to Purchase

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  • Outperform competitors using forecast data and the drivers and trends shaping the market.
  • Understand customers based on end user analysis.
  • Benchmark performance against key competitors based on market share, innovation, and brand strength.
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Where is the largest and fastest growing market for applied 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 applied 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, total addressable market (TAM), market attractiveness score (MAS), competitive landscape, market shares, company scoring matrix, 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. This section also examines key products and services offered in the market, evaluates brand-level differentiation, compares product features, and highlights major innovation and product development trends.
  • The supply chain analysis section provides an overview of the entire value chain, including key raw materials, resources, and supplier analysis. It also provides a list competitor at each level of the supply chain.
  • The updated trends and strategies section analyses the shape of the market as it evolves and highlights emerging technology trends such as digital transformation, automation, sustainability initiatives, and AI-driven innovation. It suggests how companies can leverage these advancements to strengthen their market position and achieve competitive differentiation.
  • The regulatory and investment landscape section provides an overview of the key regulatory frameworks, regularity bodies, associations, and government policies influencing the market. It also examines major investment flows, incentives, and funding trends shaping industry growth and innovation.
  • 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 technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.
  • The total addressable market (TAM) analysis section defines and estimates the market potential compares it with the current market size, and provides strategic insights and growth opportunities based on this evaluation.
  • The market attractiveness scoring section evaluates the market based on a quantitative scoring framework that considers growth potential, competitive dynamics, strategic fit, and risk profile. It also provides interpretive insights and strategic implications for decision-makers.
  • 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.
  • Expanded geographical coverage includes Taiwan and Southeast Asia, reflecting recent supply chain realignments and manufacturing shifts in the region. This section analyzes how these markets are becoming increasingly important hubs in the global value chain.
  • 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 company scoring matrix section evaluates and ranks leading companies based on a multi-parameter framework that includes market share or revenues, product innovation, and brand recognition.

Scope

  • Markets Covered:1) By Component: Hardware; Software; Service
  • 2) By Technology: Machine Learning And Deep Learning; Predictive Analytics; Computer Vision
  • 3) By Application: Precision Farming; Drone Analytics; Agriculture Robots; Livestock Monitoring; Other Applications
  • Subsegments:
  • 1) By Hardware: Sensors (Soil, Climate, Crop Monitoring); Drones For Crop Surveillance; Automated Tractors And Harvesters; GPS & GIS Systems For Precision Farming; Imaging Systems; IoT Devices For Agricultural Monitoring; Robotics For Seeding, Planting, And Weeding
  • 2) By Software: Farm Management Software; AI-Based Crop Prediction Software; Precision Agriculture Software; Irrigation Management Software; Pest And Disease Detection Software; Data Analytics And Visualization Tools; Supply Chain Optimization Software; Machine Learning Algorithms For Yield Prediction
  • 3) By Service: AI Integration And Implementation Services; Data Analytics Services For Crop And Soil Analysis; Cloud-Based Agricultural Services; AI Model Training And Customization Services; Maintenance And Support Services; Consultation And Advisory Services For AI Adoption In Agriculture
  • Companies Mentioned: Microsoft Corporation; BASF SE; International Business Machines Corporation; Bayer AG; Deere & Company; SAP SE; CNH Industrial N.V.; Kubota Corporation; Corteva Inc.; AGCO Corporation; Trimble Inc.; Raven Industries Inc.; The Climate Corporation; AG Leader Technology; The BAE Systems Taranis; Farmers Edge Inc.; PrecisionHawk; AgEagle Aerial Systems; Descartes Labs Inc.; Prospera Technologies Ltd.; Agribotix; Gamaya
  • Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Taiwan; Russia; South Korea; UK; USA; Canada; Italy; Spain
  • Regions: Asia-Pacific; South East Asia; 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: Word, PDF or Interactive Report
  • + Excel Dashboard
  • Added Benefits
  • Bi-Annual Data Update
  • Customisation
  • Expert Consultant Support

Added Benefits available all on all list-price licence purchases, to be claimed at time of purchase. Customisations within report scope and limited to 20% of content and consultant support time limited to 8 hours.

Table of Contents

1. Executive Summary

  • 1.1. Key Market Insights (2020-2035)
  • 1.2. Visual Dashboard: Market Size, Growth Rate, Hotspots
  • 1.3. Major Factors Driving the Market
  • 1.4. Top Three Trends Shaping the Market

2. Applied AI In Agriculture Market Characteristics

  • 2.1. Market Definition & Scope
  • 2.2. Market Segmentations
  • 2.3. Overview of Key Products and Services
  • 2.4. Global Applied AI In Agriculture Market Attractiveness Scoring And Analysis
    • 2.4.1. Overview of Market Attractiveness Framework
    • 2.4.2. Quantitative Scoring Methodology
    • 2.4.3. Factor-Wise Evaluation
  • Growth Potential Analysis, Competitive Dynamics Assessment, Strategic Fit Assessment And Risk Profile Evaluation
    • 2.4.4. Market Attractiveness Scoring and Interpretation
    • 2.4.5. Strategic Implications and Recommendations

3. Applied AI In Agriculture Market Supply Chain Analysis

  • 3.1. Overview of the Supply Chain and Ecosystem
  • 3.2. List Of Key Raw Materials, Resources & Suppliers
  • 3.3. List Of Major Distributors and Channel Partners
  • 3.4. List Of Major End Users

4. Global Applied AI In Agriculture Market Trends And Strategies

  • 4.1. Key Technologies & Future Trends
    • 4.1.1 Artificial Intelligence & Autonomous Intelligence
    • 4.1.2 Industry 4.0 & Intelligent Manufacturing
    • 4.1.3 Internet Of Things (IoT), Smart Infrastructure & Connected Ecosystems
    • 4.1.4 Digitalization, Cloud, Big Data & Cybersecurity
    • 4.1.5 Autonomous Systems, Robotics & Smart Mobility
  • 4.2. Major Trends
    • 4.2.1 Growing Adoption Of AI-Based Crop And Soil Health Assessment
    • 4.2.2 Expansion Of Data-Driven Farm Decision-Making Practices
    • 4.2.3 Rising Integration Of Automation In Large-Scale Farming Operations
    • 4.2.4 Increasing Demand For Real-Time Agricultural Monitoring Solutions
    • 4.2.5 Greater Focus On AI-Supported Yield Enhancement Techniques

5. Applied AI In Agriculture Market Analysis Of End Use Industries

  • 5.1 Farmers And Growers
  • 5.2 Agricultural Cooperatives
  • 5.3 Agri-Tech Companies
  • 5.4 Food And Beverage Producers
  • 5.5 Research And Academic Institutions

6. Applied AI In Agriculture Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Trade Wars and Tariffs, Supply Chain Impact from Tariff War & Trade Protectionism, And Covid And Recovery On The Market

7. Global Applied AI In Agriculture Strategic Analysis Framework, Current Market Size, Market Comparisons And Growth Rate Analysis

  • 7.1. Global Applied AI In Agriculture PESTEL Analysis (Political, Social, Technological, Environmental and Legal Factors, Drivers and Restraints)
  • 7.2. Global Applied AI In Agriculture Market Size, Comparisons And Growth Rate Analysis
  • 7.3. Global Applied AI In Agriculture Historic Market Size and Growth, 2020 - 2025, Value ($ Billion)
  • 7.4. Global Applied AI In Agriculture Forecast Market Size and Growth, 2025 - 2030, 2035F, Value ($ Billion)

8. Global Applied AI In Agriculture Total Addressable Market (TAM) Analysis for the Market

  • 8.1. Definition and Scope of Total Addressable Market (TAM)
  • 8.2. Methodology and Assumptions
  • 8.3. Global Total Addressable Market (TAM) Estimation
  • 8.4. TAM vs. Current Market Size Analysis
  • 8.5. Strategic Insights and Growth Opportunities from TAM Analysis

9. Applied AI In Agriculture Market Segmentation

  • 9.1. Global Applied AI In Agriculture Market, Segmentation By Component, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Hardware, Software, Service
  • 9.2. Global Applied AI In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Machine Learning And Deep Learning, Predictive Analytics, Computer Vision
  • 9.3. Global Applied AI In Agriculture Market, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Precision Farming, Drone Analytics, Agriculture Robots, Livestock Monitoring, Other Applications
  • 9.4. Global Applied AI In Agriculture Market, Sub-Segmentation Of Hardware, By Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Sensors (Soil, Climate, Crop Monitoring), Drones For Crop Surveillance, Automated Tractors And Harvesters, GPS & GIS Systems For Precision Farming, Imaging Systems, IoT Devices For Agricultural Monitoring, Robotics For Seeding, Planting, And Weeding
  • 9.5. Global Applied AI In Agriculture Market, Sub-Segmentation Of Software, By Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Farm Management Software, AI-Based Crop Prediction Software, Precision Agriculture Software, Irrigation Management Software, Pest And Disease Detection Software, Data Analytics And Visualization Tools, Supply Chain Optimization Software, Machine Learning Algorithms For Yield Prediction
  • 9.6. Global Applied AI In Agriculture Market, Sub-Segmentation Of Service, By Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • AI Integration And Implementation Services, Data Analytics Services For Crop And Soil Analysis, Cloud-Based Agricultural Services, AI Model Training And Customization Services, Maintenance And Support Services, Consultation And Advisory Services For AI Adoption In Agriculture

10. Applied AI In Agriculture Market Regional And Country Analysis

  • 10.1. Global Applied AI In Agriculture Market, Split By Region, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • 10.2. Global Applied AI In Agriculture Market, Split By Country, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

11. Asia-Pacific Applied AI In Agriculture Market

  • 11.1. Asia-Pacific Applied 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
  • 11.2. Asia-Pacific Applied AI In Agriculture Market, Segmentation By Component, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

12. China Applied AI In Agriculture Market

  • 12.1. China Applied AI In Agriculture Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 12.2. China Applied AI In Agriculture Market, Segmentation By Component, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

13. India Applied AI In Agriculture Market

  • 13.1. India Applied AI In Agriculture Market, Segmentation By Component, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

14. Japan Applied AI In Agriculture Market

  • 14.1. Japan Applied AI In Agriculture Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 14.2. Japan Applied AI In Agriculture Market, Segmentation By Component, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

15. Australia Applied AI In Agriculture Market

  • 15.1. Australia Applied AI In Agriculture Market, Segmentation By Component, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

16. Indonesia Applied AI In Agriculture Market

  • 16.1. Indonesia Applied AI In Agriculture Market, Segmentation By Component, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

17. South Korea Applied AI In Agriculture Market

  • 17.1. South Korea Applied AI In Agriculture Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 17.2. South Korea Applied AI In Agriculture Market, Segmentation By Component, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

18. Taiwan Applied AI In Agriculture Market

  • 18.1. Taiwan Applied AI In Agriculture Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 18.2. Taiwan Applied AI In Agriculture Market, Segmentation By Component, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

19. South East Asia Applied AI In Agriculture Market

  • 19.1. South East Asia Applied 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
  • 19.2. South East Asia Applied AI In Agriculture Market, Segmentation By Component, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

20. Western Europe Applied AI In Agriculture Market

  • 20.1. Western Europe Applied 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
  • 20.2. Western Europe Applied AI In Agriculture Market, Segmentation By Component, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

21. UK Applied AI In Agriculture Market

  • 21.1. UK Applied AI In Agriculture Market, Segmentation By Component, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

22. Germany Applied AI In Agriculture Market

  • 22.1. Germany Applied AI In Agriculture Market, Segmentation By Component, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

23. France Applied AI In Agriculture Market

  • 23.1. France Applied AI In Agriculture Market, Segmentation By Component, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

24. Italy Applied AI In Agriculture Market

  • 24.1. Italy Applied AI In Agriculture Market, Segmentation By Component, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

25. Spain Applied AI In Agriculture Market

  • 25.1. Spain Applied AI In Agriculture Market, Segmentation By Component, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

26. Eastern Europe Applied AI In Agriculture Market

  • 26.1. Eastern Europe Applied 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
  • 26.2. Eastern Europe Applied AI In Agriculture Market, Segmentation By Component, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

27. Russia Applied AI In Agriculture Market

  • 27.1. Russia Applied AI In Agriculture Market, Segmentation By Component, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

28. North America Applied AI In Agriculture Market

  • 28.1. North America Applied 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
  • 28.2. North America Applied AI In Agriculture Market, Segmentation By Component, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

29. USA Applied AI In Agriculture Market

  • 29.1. USA Applied AI In Agriculture Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 29.2. USA Applied AI In Agriculture Market, Segmentation By Component, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

30. Canada Applied AI In Agriculture Market

  • 30.1. Canada Applied AI In Agriculture Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 30.2. Canada Applied AI In Agriculture Market, Segmentation By Component, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

31. South America Applied AI In Agriculture Market

  • 31.1. South America Applied 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
  • 31.2. South America Applied AI In Agriculture Market, Segmentation By Component, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

32. Brazil Applied AI In Agriculture Market

  • 32.1. Brazil Applied AI In Agriculture Market, Segmentation By Component, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

33. Middle East Applied AI In Agriculture Market

  • 33.1. Middle East Applied 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
  • 33.2. Middle East Applied AI In Agriculture Market, Segmentation By Component, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

34. Africa Applied AI In Agriculture Market

  • 34.1. Africa Applied 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
  • 34.2. Africa Applied AI In Agriculture Market, Segmentation By Component, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

35. Applied AI In Agriculture Market Regulatory and Investment Landscape

36. Applied AI In Agriculture Market Competitive Landscape And Company Profiles

  • 36.1. Applied AI In Agriculture Market Competitive Landscape And Market Share 2024
    • 36.1.1. Top 10 Companies (Ranked by revenue/share)
  • 36.2. Applied AI In Agriculture Market - Company Scoring Matrix
    • 36.2.1. Market Revenues
    • 36.2.2. Product Innovation Score
    • 36.2.3. Brand Recognition
  • 36.3. Applied AI In Agriculture Market Company Profiles
    • 36.3.1. Microsoft Corporation Overview, Products and Services, Strategy and Financial Analysis
    • 36.3.2. BASF SE Overview, Products and Services, Strategy and Financial Analysis
    • 36.3.3. International Business Machines Corporation Overview, Products and Services, Strategy and Financial Analysis
    • 36.3.4. Bayer AG Overview, Products and Services, Strategy and Financial Analysis
    • 36.3.5. Deere & Company Overview, Products and Services, Strategy and Financial Analysis

37. Applied AI In Agriculture Market Other Major And Innovative Companies

  • SAP SE, CNH Industrial N.V., Kubota Corporation, Corteva Inc., AGCO Corporation, Trimble Inc., Raven Industries Inc., The Climate Corporation, AG Leader Technology, The BAE Systems Taranis, Farmers Edge Inc., PrecisionHawk, AgEagle Aerial Systems, Descartes Labs Inc., Prospera Technologies Ltd.

38. Global Applied AI In Agriculture Market Competitive Benchmarking And Dashboard

39. Key Mergers And Acquisitions In The Applied AI In Agriculture Market

40. Applied AI In Agriculture Market High Potential Countries, Segments and Strategies

  • 40.1 Applied AI In Agriculture Market In 2030 - Countries Offering Most New Opportunities
  • 40.2 Applied AI In Agriculture Market In 2030 - Segments Offering Most New Opportunities
  • 40.3 Applied AI In Agriculture Market In 2030 - Growth Strategies
    • 40.3.1 Market Trend Based Strategies
    • 40.3.2 Competitor Strategies

41. Appendix

  • 41.1. Abbreviations
  • 41.2. Currencies
  • 41.3. Historic And Forecast Inflation Rates
  • 41.4. Research Inquiries
  • 41.5. The Business Research Company
  • 41.6. Copyright And Disclaimer