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市场调查报告书
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1970082

2026年全球农业人工智慧（AI）市场报告

Artificial Intelligence (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

价格
简介目录

近年来，人工智慧（AI）在农业领域的市场规模迅速扩张。预计该市场规模将从2025年的27.1亿美元成长到2026年的33.7亿美元，复合年增长率（CAGR）为24.5%。这一增长归功于不断增长的粮食需求、农业自动化技术的早期应用、感测器技术的进步、精密农业的推广以及提高作物产量的迫切需求。

预计未来几年，农业人工智慧（AI）市场将快速成长，到2030年将达到82.3亿美元，复合年增长率（CAGR）为25.0%。预测期内的成长预计将受到以下因素的推动：智慧农业实践的日益普及、气候变迁带来的效率提升需求、农业机器人的扩展、政府对数位农业的支持以及对农业技术投资的增加。预测期内的关键趋势包括精密农业技术、人工智慧驱动的作物监测系统、自主农业机械、产量预测分析和智慧资源管理解决方案。

为确保粮食安全，日益增长的粮食增产需求预计将在未来几年推动农业领域人工智慧（AI）市场的扩张。粮食安全是指粮食的可持续供应、取得和合理利用，以满足人们健康积极生活所需的营养需求和偏好，并确保人人都能获得安全营养的食物。人工智慧有助于优化农业运营，提高作物产量，同时分析海量的天气趋势、土壤品质和作物状况资料集，为农民提供即时洞察和精准建议。这有助于改善灌溉、施肥、病虫害防治和收割等方面的决策，进而提高生产力，减少废弃物，增加粮食产量，并增强全球粮食安全。例如，根据美国农业部预测，截至2025年4月，2024/25年度全球米的生产量预计将达到创纪录的5.358亿吨（精米），年增约3%，即增加310万吨。人们越来越重视粮食生产以确保粮食安全，这推动了农业领域人工智慧市场的成长。

在农业领域人工智慧 (AI) 市场主要企业正致力于开发产品创新，例如旨在提高产量预测准确性、增强决策能力和支援永续农业实践的先进平台。 「突破性平台」指的是能够透过创新解决方案克服现有挑战、建立新的产业标准并推动进一步创新的变革性系统或技术。例如，2024 年 9 月，美国软体公司 Helios AI 发布了 CommodiTrack，这是一个整合了广泛的气候风险数据和预测分析的先进平台，旨在提高农业食品供应链的韧性。该平台为用户提供可操作的洞察，并能够快速应对市场波动和营运中断。

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
  • 全球农业人工智慧（AI）市场：吸引力评分及分析
  • 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
    • 永续性、气候技术、循环经济
    • 自主系统、机器人、智慧运输
    • 物联网、智慧基础设施、互联生态系统
    • 工业4.0和智慧製造
  • 主要趋势
    • 精密农业技术
    • 人工智慧驱动的作物监测系统
    • 自主农业机械
    • 预测产量分析
    • 智慧资源管理解决方案

第五章 终端用户产业市场分析

  • 农作物种植者
  • 畜牧业的棋子
  • 农业企业
  • 农业科技公司
  • 政府农业机构

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

  • 全球农业人工智慧（AI）市场：PESTEL分析（政治、社会、技术、环境、法律因素、驱动因素与限制因素）
  • 全球农业人工智慧（AI）市场规模、对比及成长率分析
  • 全球人工智慧（AI）在农业领域的市场表现：规模与成长，2020-2025年
  • 全球农业人工智慧（AI）市场预测：规模与成长，2025-2030年，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、预测分析、电脑视觉
  • 不同的发展
  • 云端、本地部署、混合部署
  • 透过使用
  • 精密农业、农业机器人、牲畜监测、无人机分析、劳动力管理及其他应用领域
  • 按类型细分：硬体
  • 感测器、无人机、影像系统、机器人、自动化设备
  • 按类型细分：软体
  • 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
  • 按类型细分：服务
  • 咨询服务、系统整合服务、维护与支援服务

第十章各国市场/产业指标

第十一章 区域与国别分析

  • 全球农业人工智慧（AI）市场：按地区划分，实际数据和预测数据，2020-2025年、2025-2030年、2035年
  • 全球农业人工智慧（AI）市场：按国家划分，实际数据和预测数据，2020-2025年、2025-2030年、2035年

第十二章 亚太市场

第十三章：中国市场

第十四章：印度市场

第十五章：日本市场

第十六章：澳洲市场

第十七章：印尼市场

第十八章：韩国市场

第十九章 台湾市场

第二十章：东南亚市场

第21章 西欧市场

第22章英国市场

第23章：德国市场

第24章：法国市场

第25章：义大利市场

第26章：西班牙市场

第27章 东欧市场

第28章：俄罗斯市场

第29章 北美市场

第三十章：美国市场

第31章：加拿大市场

第32章：南美洲市场

第33章：巴西市场

第34章 中东市场

第35章：非洲市场

第三十六章 市场监理与投资环境

第37章：竞争格局与公司概况

  • 农业人工智慧（AI）市场：竞争格局与市场占有率（2024年）
  • 农业人工智慧（AI）市场：公司估值矩阵
  • 农业人工智慧（AI）市场：公司概况
    • Google LLC
    • Microsoft Corporation
    • IBM Corporation
    • Bayer AG
    • John Deere

第38章 其他大型企业和创新企业

  • 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39章 全球市场竞争基准分析与仪錶板

第四十章 重大併购

第41章 具有高市场潜力的国家、细分市场与策略

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

第42章附录

简介目录
Product Code: IT3MAIAA01_G26Q1

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.

Tariffs have affected the AI in agriculture market by increasing costs of imported sensors, drones, imaging systems, and robotics equipment. Hardware intensive applications such as precision farming and autonomous machinery are most impacted. Regions dependent on imported agricultural technology, including parts of Asia Pacific and Latin America, face higher deployment costs. These challenges may slow adoption among small scale farmers. However, tariffs are encouraging local manufacturing and regional development of agricultural AI solutions.

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 a 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 scenario of the industry.

The artificial intelligence (AI) in agriculture market size has grown exponentially in recent years. It will grow from $2.71 billion in 2025 to $3.37 billion in 2026 at a compound annual growth rate (CAGR) of 24.5%. The growth in the historic period can be attributed to increasing food demand, early adoption of farm automation, advancements in sensor technologies, growth of precision agriculture, need for improved crop productivity.

The artificial intelligence (AI) in agriculture market size is expected to see exponential growth in the next few years. It will grow to $8.23 billion in 2030 at a compound annual growth rate (CAGR) of 25.0%. The growth in the forecast period can be attributed to rising adoption of smart farming practices, climate change driven efficiency needs, expansion of agri robotics, government support for digital agriculture, increased investment in agri technology. Major trends in the forecast period include precision farming technologies, AI driven crop monitoring systems, autonomous agricultural machinery, predictive yield analytics, smart resource management solutions.

The growing requirement for higher food production to ensure food security is anticipated to drive the expansion of the artificial intelligence (AI) in agriculture market in the coming years. Food security refers to the consistent availability, accessibility, and proper use of food that meets individuals' dietary needs and preferences for a healthy and active life, ensuring universal access to safe and nutritious food. Artificial intelligence supports the optimization of farming operations, enhances crop productivity, and analyzes vast datasets such as weather trends, soil quality, and crop conditions to deliver real-time insights and precise recommendations to farmers. It facilitates better irrigation, fertilization, pest control, and harvesting decisions, leading to improved productivity, reduced waste, higher food output, and strengthened global food security. For instance, in April 2025, according to the United States Department of Agriculture, a US-based government department, the 2024/25 global rice production forecast increased by 3.1 million tons to a record 535.8 million (milled basis), nearly 3% higher than the previous year. Therefore, the growing emphasis on food production for food security is propelling the growth of the AI in agriculture market.

Major companies operating in the artificial intelligence (AI) in agriculture market are concentrating on developing product innovations such as advanced platforms to improve yield forecasting, strengthen decision-making, and support sustainable farming practices. A 'groundbreaking platform' refers to a transformative system or technology that sets new industry benchmarks and drives further innovation by addressing existing gaps with novel solutions. For instance, in September 2024, Helios AI, a US-based software company, launched CommodiTrack, an advanced platform that integrates extensive climate risk data with predictive analytics to improve the resilience of the agrifood supply chain. It provides users with actionable insights, enabling rapid responses to market fluctuations and operational disruptions.

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 are 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 2025. 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, South East Asia, 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, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain

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 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 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.

Reasons to Purchase

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  • Identify growth segments for investment.
  • 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.
  • Evaluate the total addressable market (TAM) and market attractiveness scoring to measure market potential.
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  • Report will be updated with the latest data and delivered to you within 2-3 working days of order along with an Excel data sheet for easy data extraction and analysis.
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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, 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; 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; 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
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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. Artificial Intelligence (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 Artificial Intelligence (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. Artificial Intelligence (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 Artificial Intelligence (AI) In Agriculture Market Trends And Strategies

  • 4.1. Key Technologies & Future Trends
    • 4.1.1 Artificial Intelligence & Autonomous Intelligence
    • 4.1.2 Sustainability, Climate Tech & Circular Economy
    • 4.1.3 Autonomous Systems, Robotics & Smart Mobility
    • 4.1.4 Internet Of Things (Iot), Smart Infrastructure & Connected Ecosystems
    • 4.1.5 Industry 4.0 & Intelligent Manufacturing
  • 4.2. Major Trends
    • 4.2.1 Precision Farming Technologies
    • 4.2.2 AI Driven Crop Monitoring Systems
    • 4.2.3 Autonomous Agricultural Machinery
    • 4.2.4 Predictive Yield Analytics
    • 4.2.5 Smart Resource Management Solutions

5. Artificial Intelligence (AI) In Agriculture Market Analysis Of End Use Industries

  • 5.1 Crop Farmers
  • 5.2 Livestock Farmers
  • 5.3 Agricultural Enterprises
  • 5.4 Agri Technology Companies
  • 5.5 Government Agricultural Agencies

6. Artificial Intelligence (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 Artificial Intelligence (AI) In Agriculture Strategic Analysis Framework, Current Market Size, Market Comparisons And Growth Rate Analysis

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

8. Global Artificial Intelligence (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. Artificial Intelligence (AI) In Agriculture Market Segmentation

  • 9.1. Global Artificial Intelligence (AI) In Agriculture Market, Segmentation By Component, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Hardware, Software, Services
  • 9.2. Global Artificial Intelligence (AI) In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Machine Learning, Predictive Analysis, Computer Vision
  • 9.3. Global Artificial Intelligence (AI) In Agriculture Market, Segmentation By Deployment, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Cloud, On-Premise, Hybrid
  • 9.4. Global Artificial Intelligence (AI) In Agriculture Market, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Precision Farming, Agriculture Robots, Livestock Monitoring, Drone Analytics, Labor Management, Other Applications
  • 9.5. Global Artificial Intelligence (AI) In Agriculture Market, Sub-Segmentation Of Hardware, By Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Sensors, Drones, Imaging Systems, Robotics, Automated Equipment
  • 9.6. Global Artificial Intelligence (AI) In Agriculture Market, Sub-Segmentation Of Software, By Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Data Analytics Platforms, Farm Management Software, AI-Based Prediction Tools, Image Processing Software
  • 9.7. Global Artificial Intelligence (AI) In Agriculture Market, Sub-Segmentation Of Services, By Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Consulting Services, System Integration Services, Maintenance And Support Services

10. Artificial Intelligence (AI) In Agriculture Market, Industry Metrics By Country

  • 10.1. Global Artificial Intelligence (AI) In Agriculture Market, Average Selling Price By Country, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $
  • 10.2. Global Artificial Intelligence (AI) In Agriculture Market, Average Spending Per Capita (Employed) By Country, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $

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

  • 11.1. Global Artificial Intelligence (AI) In Agriculture Market, Split By Region, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • 11.2. Global Artificial Intelligence (AI) In Agriculture Market, Split By Country, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

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

  • 12.1. 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
  • 12.2. Asia-Pacific Artificial Intelligence (AI) In Agriculture Market, Segmentation By Component, Segmentation By Technology, Segmentation By Deployment, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

13. China Artificial Intelligence (AI) In Agriculture Market

  • 13.1. China Artificial Intelligence (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
  • 13.2. China Artificial Intelligence (AI) In Agriculture Market, Segmentation By Component, Segmentation By Technology, Segmentation By Deployment, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

14. India Artificial Intelligence (AI) In Agriculture Market

  • 14.1. India Artificial Intelligence (AI) In Agriculture Market, Segmentation By Component, Segmentation By Technology, Segmentation By Deployment, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

15. Japan Artificial Intelligence (AI) In Agriculture Market

  • 15.1. Japan Artificial Intelligence (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
  • 15.2. Japan Artificial Intelligence (AI) In Agriculture Market, Segmentation By Component, Segmentation By Technology, Segmentation By Deployment, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

16. Australia Artificial Intelligence (AI) In Agriculture Market

  • 16.1. Australia Artificial Intelligence (AI) In Agriculture Market, Segmentation By Component, Segmentation By Technology, Segmentation By Deployment, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

17. Indonesia Artificial Intelligence (AI) In Agriculture Market

  • 17.1. Indonesia Artificial Intelligence (AI) In Agriculture Market, Segmentation By Component, Segmentation By Technology, Segmentation By Deployment, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

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

  • 18.1. South Korea Artificial Intelligence (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. South Korea Artificial Intelligence (AI) In Agriculture Market, Segmentation By Component, Segmentation By Technology, Segmentation By Deployment, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

19. Taiwan Artificial Intelligence (AI) In Agriculture Market

  • 19.1. Taiwan Artificial Intelligence (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
  • 19.2. Taiwan Artificial Intelligence (AI) In Agriculture Market, Segmentation By Component, Segmentation By Technology, Segmentation By Deployment, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

20. South East Asia Artificial Intelligence (AI) In Agriculture Market

  • 20.1. South East Asia 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
  • 20.2. South East Asia Artificial Intelligence (AI) In Agriculture Market, Segmentation By Component, Segmentation By Technology, Segmentation By Deployment, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

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

  • 21.1. Western Europe 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
  • 21.2. Western Europe Artificial Intelligence (AI) In Agriculture Market, Segmentation By Component, Segmentation By Technology, Segmentation By Deployment, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

22. UK Artificial Intelligence (AI) In Agriculture Market

  • 22.1. UK Artificial Intelligence (AI) In Agriculture Market, Segmentation By Component, Segmentation By Technology, Segmentation By Deployment, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

23. Germany Artificial Intelligence (AI) In Agriculture Market

  • 23.1. Germany Artificial Intelligence (AI) In Agriculture Market, Segmentation By Component, Segmentation By Technology, Segmentation By Deployment, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

24. France Artificial Intelligence (AI) In Agriculture Market

  • 24.1. France Artificial Intelligence (AI) In Agriculture Market, Segmentation By Component, Segmentation By Technology, Segmentation By Deployment, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

25. Italy Artificial Intelligence (AI) In Agriculture Market

  • 25.1. Italy Artificial Intelligence (AI) In Agriculture Market, Segmentation By Component, Segmentation By Technology, Segmentation By Deployment, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

26. Spain Artificial Intelligence (AI) In Agriculture Market

  • 26.1. Spain Artificial Intelligence (AI) In Agriculture Market, Segmentation By Component, Segmentation By Technology, Segmentation By Deployment, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

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

  • 27.1. Eastern Europe 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
  • 27.2. Eastern Europe Artificial Intelligence (AI) In Agriculture Market, Segmentation By Component, Segmentation By Technology, Segmentation By Deployment, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

28. Russia Artificial Intelligence (AI) In Agriculture Market

  • 28.1. Russia Artificial Intelligence (AI) In Agriculture Market, Segmentation By Component, Segmentation By Technology, Segmentation By Deployment, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

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

  • 29.1. North America 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
  • 29.2. North America Artificial Intelligence (AI) In Agriculture Market, Segmentation By Component, Segmentation By Technology, Segmentation By Deployment, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

30. USA Artificial Intelligence (AI) In Agriculture Market

  • 30.1. USA Artificial Intelligence (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. USA Artificial Intelligence (AI) In Agriculture Market, Segmentation By Component, Segmentation By Technology, Segmentation By Deployment, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

31. Canada Artificial Intelligence (AI) In Agriculture Market

  • 31.1. Canada Artificial Intelligence (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
  • 31.2. Canada Artificial Intelligence (AI) In Agriculture Market, Segmentation By Component, Segmentation By Technology, Segmentation By Deployment, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

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

  • 32.1. South America 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
  • 32.2. South America Artificial Intelligence (AI) In Agriculture Market, Segmentation By Component, Segmentation By Technology, Segmentation By Deployment, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

33. Brazil Artificial Intelligence (AI) In Agriculture Market

  • 33.1. Brazil Artificial Intelligence (AI) In Agriculture Market, Segmentation By Component, Segmentation By Technology, Segmentation By Deployment, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

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

  • 34.1. Middle East 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
  • 34.2. Middle East Artificial Intelligence (AI) In Agriculture Market, Segmentation By Component, Segmentation By Technology, Segmentation By Deployment, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

35. Africa Artificial Intelligence (AI) In Agriculture Market

  • 35.1. Africa 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
  • 35.2. Africa Artificial Intelligence (AI) In Agriculture Market, Segmentation By Component, Segmentation By Technology, Segmentation By Deployment, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

36. Artificial Intelligence (AI) In Agriculture Market Regulatory and Investment Landscape

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

  • 37.1. Artificial Intelligence (AI) In Agriculture Market Competitive Landscape And Market Share 2024
    • 37.1.1. Top 10 Companies (Ranked by revenue/share)
  • 37.2. Artificial Intelligence (AI) In Agriculture Market - Company Scoring Matrix
    • 37.2.1. Market Revenues
    • 37.2.2. Product Innovation Score
    • 37.2.3. Brand Recognition
  • 37.3. Artificial Intelligence (AI) In Agriculture Market Company Profiles
    • 37.3.1. Google LLC Overview, Products and Services, Strategy and Financial Analysis
    • 37.3.2. Microsoft Corporation Overview, Products and Services, Strategy and Financial Analysis
    • 37.3.3. IBM Corporation Overview, Products and Services, Strategy and Financial Analysis
    • 37.3.4. Bayer AG Overview, Products and Services, Strategy and Financial Analysis
    • 37.3.5. John Deere Overview, Products and Services, Strategy and Financial Analysis

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

  • 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

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

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

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

  • 41.1. Artificial Intelligence (AI) In Agriculture Market In 2030 - Countries Offering Most New Opportunities
  • 41.2. Artificial Intelligence (AI) In Agriculture Market In 2030 - Segments Offering Most New Opportunities
  • 41.3. Artificial Intelligence (AI) In Agriculture Market In 2030 - Growth Strategies
    • 41.3.1. Market Trend Based Strategies
    • 41.3.2. Competitor Strategies

42. Appendix

  • 42.1. Abbreviations
  • 42.2. Currencies
  • 42.3. Historic And Forecast Inflation Rates
  • 42.4. Research Inquiries
  • 42.5. The Business Research Company
  • 42.6. Copyright And Disclaimer