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市场调查报告书
商品编码
1619418

2024 年农业应用人工智慧全球市场报告

Applied AI In Agriculture Global Market Report 2024
出版日期: | 出版商: The Business Research Company | 英文 175 Pages | 商品交期: 2-10个工作天内

价格
简介目录

未来几年，农业人工智慧应用市场规模预计将大幅成长。 2028年，将以29.5%的复合年增长率成长至81.2亿美元。预测期内的预期成长是由精密农业需求不断增长、政府倡议和补贴、对粮食安全的日益重视、对农业技术新兴企业的投资以及资料主导决策的使用等因素所推动的。预计这段时期的主要趋势包括精密农业的扩张、人工智慧支援的预测分析、自动化和机器人技术的进步、智慧灌溉系统的发展以及人工智慧支援的作物育种。

作物生产力的提高预计将推动未来农业应用人工智慧市场的扩大。农作物生产力是指农作物的产量，通常以单位面积的产量来衡量。由于农业技术和实践的进步，包括改良作物品种的开发、更有效的灌溉方法以及精密农业技术的采用，这一数字正在增加。农业中的人工智慧应用透过资料主导的洞察、预测分析和自动化来优化农业运营，从而帮助提高作物生产力。例如，2024年1月，美国农业部（USDA）报告称，2023年美国稻米平均产量预计为每英亩7,649磅，比2022年平均产量7,385磅增加了264磅。因此，作物生产力的提高正在推动农业应用人工智慧市场的成长。

农业市场应用人工智慧的主要参与企业正在专注于开发创新解决方案，例如基于人工智慧的工具，以保持其市场地位。这些基于人工智慧的工具是利用人工智慧来改善农业和农业经营各个方面的软体和技术。例如，2024 年 7 月，美国科技公司 Google LLC 推出了一款名为农业景观理解 (ALU) 的人工智慧工具，以加强印度的农业实践，并专注于干旱防备和灌溉管理。 ALU 工具使用高解析度卫星图像和机器学习为每个农田提供量身定制的见解，满足印度农业景观的多样化需求。透过明确界定田地边界，分析有效灌溉和干旱管理策略的关键因素，例如作物类型、田地大小和与水源的距离。该倡议旨在透过提高农作物产量、促进资本获取和加强农产品市场进入来增强农民权能。

目录

第一章执行摘要

第二章 市场特点

第三章 市场趋势与策略

第四章宏观经济情景

  • 高通膨对市场的影响
  • 乌克兰与俄罗斯战争对市场的影响
  • COVID-19 对市场的影响

第五章世界市场规模与成长

  • 全球农业人工智慧应用市场：驱动因素与限制因素
    • 市场驱动因素
    • 市场限制因素
  • 全球农业应用人工智慧市场表现：规模与成长，2018-2023
  • 全球农业应用人工智慧市场预测：规模与成长，2023-2028、2033

第六章 市场细分

  • 全球农业应用人工智慧市场：按组成部分分類的绩效和预测，2018-2023、2023-2028、2033
  • 硬体
  • 软体
  • 服务
  • 全球农业应用人工智慧市场：依技术分類的表现与预测，2018-2023、2023-2028、2033
  • 机器学习和深度学习
  • 预测分析
  • 电脑视觉
  • 全球农业人工智慧应用市场：按应用、表现和预测划分，2018-2023、2023-2028、2033
  • 精密农业
  • 无人机分析
  • 农业机器人
  • 牲畜监测
  • 其他的

第 7 章 区域/国家分析

  • 全球农业应用人工智慧市场：按地区、表现和预测，2018-2023、2023-2028、2033
  • 全球农业应用人工智慧市场：按国家、绩效和预测，2018-2023、2023-2028、2033

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14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20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 竞争格局及公司概况

  • 农业人工智慧应用市场：竞争格局
  • 农业应用人工智慧市场：公司简介
    • Microsoft Corporation
    • BASF SE
    • International Business Machines Corporation
    • Bayer AG
    • Deere & Company

第三十一章 其他重大及创新企业

  • 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32章竞争基准化分析

第 33 章. 竞争对手仪表板

第三十四章 重大併购

第35章 未来展望与潜力分析

第36章附录

简介目录
Product Code: r20449

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.

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 $2.23 billion in 2023 to $2.89 billion in 2024 at a compound annual growth rate (CAGR) of 29.4%. The growth observed in the historical period can be attributed to several factors, increased availability and collection of data, technological advancements, labor shortages, concerns about climate change and sustainability, and environmental issues.

The applied AI in agriculture market size is expected to see exponential growth in the next few years. It will grow to $8.12 billion in 2028 at a compound annual growth rate (CAGR) of 29.5%. The projected growth during the forecast period can be attributed to factors such as the rising demand for precision farming, government initiatives and subsidies, increasing emphasis on food security, investment in agritech startups, and the use of data-driven decision-making. Key trends expected in this period include the expansion of precision agriculture, the use of AI-powered predictive analytics, advancements in automation and robotics, development of smart irrigation systems, and AI-enhanced crop breeding.

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 2023. The regions covered in the applied ai in agriculture market report are Asia-Pacific, 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, 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 Global Market Report 2024 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 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

  • Gain a truly global perspective with the most comprehensive report available on this market covering 50+ geographies.
  • Understand how the market has been affected by the COVID-19 and how it is responding as the impact of the virus abates.
  • Assess the Russia - Ukraine war's impact on agriculture, energy and mineral commodity supply and its direct and indirect impact on the market.
  • Measure the impact of high global inflation on market growth.
  • Create regional and country strategies on the basis of local data and analysis.
  • Identify growth segments for investment.
  • Outperform competitors using forecast data and the drivers and trends shaping the market.
  • Understand customers based on the latest market shares.
  • Benchmark performance against key competitors.
  • Suitable for supporting your internal and external presentations with reliable high quality data and analysis
  • Report will be updated with the latest data and delivered to you within 3-5 working days of order along with an Excel data sheet for easy data extraction and analysis.
  • All data from the report will also be delivered in an excel dashboard format.

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? 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, 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 impact of sanctions, supply chain disruptions, and altered demand for goods and services due to the Russian Ukraine war, impacting various macro-economic factors and parameters in the Eastern European region and its subsequent effect on global markets.

The impact of higher inflation in many countries and the resulting spike in interest rates.

The continued but declining impact of COVID-19 on supply chains and consumption patterns.

  • 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. It covers the growth trajectory of COVID-19 for all regions, key developed countries and major emerging markets.
  • 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; 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
  • Companies Mentioned: Microsoft Corporation; BASF SE; International Business Machines Corporation; Bayer AG; Deere & Company
  • 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. Applied AI In Agriculture Market Characteristics

3. Applied AI In Agriculture Market Trends And Strategies

4. Applied AI In Agriculture Market - Macro Economic Scenario

  • 4.1. Impact Of High Inflation On The Market
  • 4.2. Ukraine-Russia War Impact On The Market
  • 4.3. COVID-19 Impact On The Market

5. Global Applied AI In Agriculture Market Size and Growth

  • 5.1. Global Applied AI In Agriculture Market Drivers and Restraints
    • 5.1.1. Drivers Of The Market
    • 5.1.2. Restraints Of The Market
  • 5.2. Global Applied AI In Agriculture Historic Market Size and Growth, 2018 - 2023, Value ($ Billion)
  • 5.3. Global Applied AI In Agriculture Forecast Market Size and Growth, 2023 - 2028, 2033F, Value ($ Billion)

6. Applied AI In Agriculture Market Segmentation

  • 6.1. Global Applied AI In Agriculture Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • Hardware
  • Software
  • Service
  • 6.2. Global Applied AI In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • Machine Learning And Deep Learning
  • Predictive Analytics
  • Computer Vision
  • 6.3. Global Applied AI In Agriculture Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • Precision Farming
  • Drone Analytics
  • Agriculture Robots
  • Livestock Monitoring
  • Other Applications

7. Applied AI In Agriculture Market Regional And Country Analysis

  • 7.1. Global Applied AI In Agriculture Market, Split By Region, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 7.2. Global Applied AI In Agriculture Market, Split By Country, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

8. Asia-Pacific Applied AI In Agriculture Market

  • 8.1. Asia-Pacific Applied AI In Agriculture Market Overview
  • Region Information, Impact Of COVID-19, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 8.2. Asia-Pacific Applied AI In Agriculture Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 8.3. Asia-Pacific Applied AI In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 8.4. Asia-Pacific Applied AI In Agriculture Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

9. China Applied AI In Agriculture Market

  • 9.1. China Applied AI In Agriculture Market Overview
  • 9.2. China Applied AI In Agriculture Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F,$ Billion
  • 9.3. China Applied AI In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F,$ Billion
  • 9.4. China Applied AI In Agriculture Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F,$ Billion

10. India Applied AI In Agriculture Market

  • 10.1. India Applied AI In Agriculture Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 10.2. India Applied AI In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 10.3. India Applied AI In Agriculture Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

11. Japan Applied AI In Agriculture Market

  • 11.1. Japan Applied AI In Agriculture Market Overview
  • 11.2. Japan Applied AI In Agriculture Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 11.3. Japan Applied AI In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 11.4. Japan Applied AI In Agriculture Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

12. Australia Applied AI In Agriculture Market

  • 12.1. Australia Applied AI In Agriculture Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 12.2. Australia Applied AI In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 12.3. Australia Applied AI In Agriculture Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

13. Indonesia Applied AI In Agriculture Market

  • 13.1. Indonesia Applied AI In Agriculture Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 13.2. Indonesia Applied AI In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 13.3. Indonesia Applied AI In Agriculture Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

14. South Korea Applied AI In Agriculture Market

  • 14.1. South Korea Applied AI In Agriculture Market Overview
  • 14.2. South Korea Applied AI In Agriculture Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 14.3. South Korea Applied AI In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 14.4. South Korea Applied AI In Agriculture Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

15. Western Europe Applied AI In Agriculture Market

  • 15.1. Western Europe Applied AI In Agriculture Market Overview
  • 15.2. Western Europe Applied AI In Agriculture Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 15.3. Western Europe Applied AI In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 15.4. Western Europe Applied AI In Agriculture Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

16. UK Applied AI In Agriculture Market

  • 16.1. UK Applied AI In Agriculture Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 16.2. UK Applied AI In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 16.3. UK Applied AI In Agriculture Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

17. Germany Applied AI In Agriculture Market

  • 17.1. Germany Applied AI In Agriculture Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 17.2. Germany Applied AI In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 17.3. Germany Applied AI In Agriculture Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

18. France Applied AI In Agriculture Market

  • 18.1. France Applied AI In Agriculture Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 18.2. France Applied AI In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 18.3. France Applied AI In Agriculture Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

19. Italy Applied AI In Agriculture Market

  • 19.1. Italy Applied AI In Agriculture Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 19.2. Italy Applied AI In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 19.3. Italy Applied AI In Agriculture Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

20. Spain Applied AI In Agriculture Market

  • 20.1. Spain Applied AI In Agriculture Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 20.2. Spain Applied AI In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 20.3. Spain Applied AI In Agriculture Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

21. Eastern Europe Applied AI In Agriculture Market

  • 21.1. Eastern Europe Applied AI In Agriculture Market Overview
  • 21.2. Eastern Europe Applied AI In Agriculture Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 21.3. Eastern Europe Applied AI In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 21.4. Eastern Europe Applied AI In Agriculture Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

22. Russia Applied AI In Agriculture Market

  • 22.1. Russia Applied AI In Agriculture Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 22.2. Russia Applied AI In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 22.3. Russia Applied AI In Agriculture Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

23. North America Applied AI In Agriculture Market

  • 23.1. North America Applied AI In Agriculture Market Overview
  • 23.2. North America Applied AI In Agriculture Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 23.3. North America Applied AI In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 23.4. North America Applied AI In Agriculture Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

24. USA Applied AI In Agriculture Market

  • 24.1. USA Applied AI In Agriculture Market Overview
  • 24.2. USA Applied AI In Agriculture Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 24.3. USA Applied AI In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 24.4. USA Applied AI In Agriculture Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

25. Canada Applied AI In Agriculture Market

  • 25.1. Canada Applied AI In Agriculture Market Overview
  • 25.2. Canada Applied AI In Agriculture Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 25.3. Canada Applied AI In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 25.4. Canada Applied AI In Agriculture Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

26. South America Applied AI In Agriculture Market

  • 26.1. South America Applied AI In Agriculture Market Overview
  • 26.2. South America Applied AI In Agriculture Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 26.3. South America Applied AI In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 26.4. South America Applied AI In Agriculture Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

27. Brazil Applied AI In Agriculture Market

  • 27.1. Brazil Applied AI In Agriculture Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 27.2. Brazil Applied AI In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 27.3. Brazil Applied AI In Agriculture Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

28. Middle East Applied AI In Agriculture Market

  • 28.1. Middle East Applied AI In Agriculture Market Overview
  • 28.2. Middle East Applied AI In Agriculture Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 28.3. Middle East Applied AI In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 28.4. Middle East Applied AI In Agriculture Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

29. Africa Applied AI In Agriculture Market

  • 29.1. Africa Applied AI In Agriculture Market Overview
  • 29.2. Africa Applied AI In Agriculture Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 29.3. Africa Applied AI In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 29.4. Africa Applied AI In Agriculture Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

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

  • 30.1. Applied AI In Agriculture Market Competitive Landscape
  • 30.2. Applied AI In Agriculture Market Company Profiles
    • 30.2.1. Microsoft Corporation
      • 30.2.1.1. Overview
      • 30.2.1.2. Products and Services
      • 30.2.1.3. Strategy
      • 30.2.1.4. Financial Performance
    • 30.2.2. BASF SE
      • 30.2.2.1. Overview
      • 30.2.2.2. Products and Services
      • 30.2.2.3. Strategy
      • 30.2.2.4. Financial Performance
    • 30.2.3. International Business Machines Corporation
      • 30.2.3.1. Overview
      • 30.2.3.2. Products and Services
      • 30.2.3.3. Strategy
      • 30.2.3.4. Financial Performance
    • 30.2.4. Bayer AG
      • 30.2.4.1. Overview
      • 30.2.4.2. Products and Services
      • 30.2.4.3. Strategy
      • 30.2.4.4. Financial Performance
    • 30.2.5. Deere & Company
      • 30.2.5.1. Overview
      • 30.2.5.2. Products and Services
      • 30.2.5.3. Strategy
      • 30.2.5.4. Financial Performance

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

  • 31.1. SAP SE
  • 31.2. CNH Industrial N.V.
  • 31.3. Kubota Corporation
  • 31.4. Corteva Inc.
  • 31.5. AGCO Corporation
  • 31.6. Trimble Inc.
  • 31.7. Raven Industries Inc.
  • 31.8. The Climate Corporation
  • 31.9. AG Leader Technology
  • 31.10. The BAE Systems Taranis
  • 31.11. Farmers Edge Inc.
  • 31.12. PrecisionHawk
  • 31.13. AgEagle Aerial Systems
  • 31.14. Descartes Labs Inc.
  • 31.15. Prospera Technologies Ltd.

32. Global Applied AI In Agriculture Market Competitive Benchmarking

33. Global Applied AI In Agriculture Market Competitive Dashboard

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

35. Applied AI In Agriculture Market Future Outlook and Potential Analysis

  • 35.1 Applied AI In Agriculture Market In 2028 - Countries Offering Most New Opportunities
  • 35.2 Applied AI In Agriculture Market In 2028 - Segments Offering Most New Opportunities
  • 35.3 Applied AI In Agriculture Market In 2028 - 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