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市場調查報告書
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1619418

2024 年農業應用人工智慧全球市場報告

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個工作天內

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簡介目錄

未來幾年，農業人工智慧應用市場規模預計將大幅成長。 2028年，將以29.5%的複合年成長率成長至81.2億美元。預測期內的預期成長是由精密農業需求不斷成長、政府舉措和補貼、對糧食安全的日益重視、對農業技術新興企業的投資以及資料主導決策的使用等因素所推動的。預計這段時期的主要趨勢包括精密農業的擴張、人工智慧支援的預測分析、自動化和機器人技術的進步、智慧灌溉系統的發展以及人工智慧支援的作物育種。

作物生產力的提高預計將推動未來農業應用人工智慧市場的擴大。農作物生產力是指農作物的產量，通常以單位面積的產量來衡量。由於農業技術和實踐的進步，包括改良作物品種的開發、更有效的灌溉方法以及精密農業技術的採用，這一數字正在增加。農業中的人工智慧應用透過資料主導的洞察、預測分析和自動化來最佳化農業營運，從而幫助提高作物生產力。例如，2024年1月，美國農業部（USDA）報告稱，2023年美國稻米平均產量預計為每英畝7,649磅，比2022年平均產量7,385磅增加了264磅。因此，作物生產力的提高正在推動農業應用人工智慧市場的成長。

農業市場應用人工智慧的主要參與企業正在專注於開發創新解決方案，例如基於人工智慧的工具，以保持其市場地位。這些基於人工智慧的工具是利用人工智慧來改善農業和農業經營各個方面的軟體和技術。例如，2024 年 7 月，美國科技公司 Google LLC 推出了一款名為農業景觀理解 (ALU) 的人工智慧工具，以加強印度的農業實踐，並專注於乾旱防備和灌溉管理。 ALU 工具使用高解析度衛星圖像和機器學習為每個農田提供量身定做的見解，滿足印度農業景觀的多樣化需求。透過明確界定田地邊界，分析有效灌溉和乾旱管理策略的關鍵因素，例如作物類型、田地大小和與水源的距離。該舉措旨在透過提高農作物產量、促進資本獲取和加強農產品市場進入來增強農民權能。

目錄

第1章執行摘要

第2章 市場特點

第3章 市場趨勢與策略

第4章宏觀經濟情景

  • 高通膨對市場的影響
  • 烏克蘭與俄羅斯戰爭對市場的影響
  • COVID-19 對市場的影響

第5章世界市場規模與成長

  • 全球農業人工智慧應用市場：促進因素與限制因素
    • 市場促進因素
    • 市場限制因素
  • 全球農業應用人工智慧市場表現：規模與成長，2018-2023
  • 全球農業應用人工智慧市場預測：規模與成長，2023-2028、2033

第6章 市場細分

  • 全球農業應用人工智慧市場：按組成部分分類的績效和預測，2018-2023、2023-2028、2033
  • 硬體
  • 軟體
  • 服務
  • 全球農業應用人工智慧市場：依技術分類的表現與預測，2018-2023、2023-2028、2033
  • 機器學習和深度學習
  • 預測分析
  • 電腦視覺
  • 全球農業人工智慧應用市場：按應用、表現和預測分類，2018-2023、2023-2028、2033
  • 精密農業
  • 無人機分析
  • 農業機器人
  • 牲畜監測
  • 其他

第 7 章 區域/國家分析

  • 全球農業應用人工智慧市場：按地區、表現和預測，2018-2023、2023-2028、2033
  • 全球農業應用人工智慧市場：按國家、績效和預測，2018-2023、2023-2028、2033

第8章亞太市場

第9章 中國市場

第10章 印度市場

第11章 日本市場

第12章 澳洲市場

第13章 印尼市場

第14章 韓國市場

第15章 西歐市場

第16章英國市場

第17章 德國市場

第18章 法國市場

第19章 義大利市場

第20章 西班牙市場

第21章 東歐市場

第22章 俄羅斯市場

第23章 北美市場

第24章美國市場

第25章加拿大市場

第26章 南美洲市場

第27章 巴西市場

第28章 中東市場

第29章 非洲市場

第30章 競爭格局及公司概況

  • 農業人工智慧應用市場：競爭格局
  • 農業應用人工智慧市場：公司簡介
    • Microsoft Corporation
    • BASF SE
    • International Business Machines Corporation
    • Bayer AG
    • Deere & Company

第31章 其他重大及創新企業

  • 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章競爭基準化分析

第 33 章. 競爭對手儀表板

第34章 重大併購

第35章 未來展望與潛力分析

第36章附錄

簡介目錄
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