2025年農業應用人工智慧全球市場報告

預計未來幾年農業應用人工智慧的市場規模將呈指數級成長。到 2029 年，這一數字將成長至 105 億美元，複合年成長率為 29.4%。預測期內的成長歸因於精密農業需求的增加、政府措施、補貼、糧食安全需求的增加、對農業技術新興企業的投資以及資料主導的決策。預測期內的主要趨勢包括精密農業、人工智慧預測分析、自動化和機器人、智慧灌溉系統和人工智慧作物育種的成長。

預計作物產量的提高將推動未來農業應用人工智慧市場的擴張。農作物單產是指農作物的產量，一般以單位面積產量來衡量。由於農業技術和實踐的進步，例如改良作物品種的開發、更有效率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操作，從而有助於提高作物生產力。例如，2024年1月，美國農業部（USDA）報告稱，預計2023年美國水稻平均產量為每英畝7,649磅，比2022年的平均產量7,385磅增加264磅。因此，作物產量的提高正在推動農業應用人工智慧市場的成長。

農業應用人工智慧市場的關鍵參與者正專注於開發基於人工智慧的工具等創新解決方案，以保持其在市場中的地位。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實踐各個方面的軟體和技術。例如，2024 年 7 月，美國科技公司Google有限責任公司推出了一款基於人工智慧的工具，名為「農業景觀理解」（ALU），以加強印度的農業實踐，重點是抗旱準備和灌溉管理。 ALU 工具使用高解析度衛星圖像和機器學習為各個農場提供量身定做的見解，滿足印度農業領域的多樣化需求。透過明確界定田地邊界，我們可以分析作物類型、田地大小、與水源的距離以及有效灌溉和乾旱管理策略所必需的其他因素。該舉措旨在透過提高農作物產量、促進資金獲取以及加強農產品市場進入增強農民的能力。

目錄

第1章執行摘要

第2章 市場特徵

第3章 市場趨勢與策略

第4章 市場 - 宏觀經濟情景，包括利率、感染疾病、地緣政治、新冠疫情、經濟復甦對市場的影響

第5章 全球成長分析與策略分析框架

• 全球農業應用人工智慧PESTEL分析（政治、社會、技術、環境、法律因素、促進因素與限制因素）
• 最終用途產業分析
• 全球農業應用人工智慧市場：成長率分析
• 全球農業應用人工智慧市場表現：規模與成長，2019-2024
• 全球農業應用人工智慧市場預測：規模與成長，2024-2029 年，2034 年
• 農業應用人工智慧的全球總目標市場（TAM）

第6章市場區隔

• 全球農業應用人工智慧市場：按組成部分、表現及預測，2019-2024 年、2024-2029 年、2034 年
• 硬體
• 軟體
• 服務
• 全球農業應用人工智慧市場：按技術、績效和預測，2019-2024 年、2024-2029 年、2034 年
• 機器學習和深度學習
• 預測分析
• 電腦視覺
• 全球農業應用人工智慧市場：應用、表現與預測，2019-2024 年、2024-2029 年、2034 年
• 精密農業
• 無人機分析
• 農業機器人
• 牲畜監控
• 其他用途
• 全球農業應用人工智慧市場，按硬體類型、效能和預測細分，2019-2024 年、2024-2029 年、2034 年
• 感測器（土壤、氣候、作物監測）
• 農作物監測無人機
• 自動曳引機和收割機
• 精密農業的GPS和GIS系統
• 影像系統
• 用於農業監測的物聯網設備
• 播種、種植和除草機器人
• 全球農業人工智慧市場細分（按軟體類型、效能和預測），2019-2024 年、2024-2029 年、2034 年
• 農場管理軟體
• 基於人工智慧的作物預測軟體
• 精密農業軟體
• 灌溉管理軟體
• 病蟲害檢測軟體
• 資料分析和視覺化工具
• 供應鏈最佳化軟體
• 用於作物產量預測的機器學習演算法
• 全球農業應用人工智慧市場，依服務類型、績效及預測細分，2019-2024 年、2024-2029 年、2034 年
• 人工智慧整合與實施服務
• 作物和土壤分析的資料分析服務
• 雲端基礎的農業服務
• AI模型訓練及客製化服務
• 維護和支援服務
• 農業人工智慧引進諮詢和顧問服務

第7章 區域和國家分析

• 全球農業應用人工智慧市場：按地區、表現和預測，2019-2024 年、2024-2029 年、2034 年
• 全球農業應用人工智慧市場：按國家、表現和預測，2019-2024 年、2024-2029 年、2034 年

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章競爭格局與公司概況

• 農業應用人工智慧市場：競爭格局
• 農業市場中的應用人工智慧：公司簡介
  • Microsoft Corporation Overview, Products and Services, Strategy and Financial Analysis
  • BASF SE Overview, Products and Services, Strategy and Financial Analysis
  • International Business Machines Corporation（IBM）Overview, Products and Services, Strategy and Financial Analysis
  • Bayer AG Overview, Products and Services, Strategy and Financial Analysis
  • Deere & Company Overview, Products and Services, Strategy and Financial Analysis

第31章 其他大型創新企業

• 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 章全球市場競爭基準化分析與儀表板

第33章 重大併購

第34章近期市場趨勢

第 35 章 高市場潛力國家、細分市場與策略

• 2029年農業市場應用人工智慧：提供新機會的國家
• 2029年農業市場中的應用人工智慧：提供新機會的細分市場
• 2029年農業市場應用人工智慧：成長策略
  • 基於市場趨勢的策略
  • 競爭對手的策略

第36章 附錄

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 $2.89 $ billion in 2024 to $3.75 $ billion in 2025 at a compound annual growth rate (CAGR) of 29.7%. The growth in the historic period can be attributed to data availability and collection, technological advancements, labor shortages, climate change and sustainability, and environmental concerns.

The applied ai in agriculture market size is expected to see exponential growth in the next few years. It will grow to $10.5 $ billion in 2029 at a compound annual growth rate (CAGR) of 29.4%. The growth in the forecast period can be attributed to increasing demand for precision farming, government initiatives, and subsidies, increasing demand for food security, investment in agritech startups, and data-driven decision-making. Major trends in the forecast period include precision agriculture growth, AI-powered predictive analytics, automation and robotics, 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 2025 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses on 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.

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Where is the largest and fastest growing market for applied ai in agriculture ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward? 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 forecasts are made after considering the major factors currently impacting the market. These include the Russia-Ukraine war, rising inflation, higher interest rates, and the legacy of the COVID-19 pandemic.

• 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
• Subsegments:
• 1) By Hardware: Sensors (Soil, Climate, Crop Monitoring); Drones For Crop Surveillance; Automated Tractors And Harvesters; GPS & GIS Systems For Precision Farming; Imaging Systems; IoT Devices For Agricultural Monitoring; Robotics For Seeding, Planting, And Weeding
• 2) By Software: Farm Management Software; AI-Based Crop Prediction Software; Precision Agriculture Software; Irrigation Management Software; Pest And Disease Detection Software; Data Analytics And Visualization Tools; Supply Chain Optimization Software; Machine Learning Algorithms For Yield Prediction
• 3) By Service: AI Integration And Implementation Services; Data Analytics Services For Crop And Soil Analysis; Cloud-Based Agricultural Services; AI Model Training And Customization Services; Maintenance And Support Services; Consultation And Advisory Services For AI Adoption In Agriculture
• Companies Mentioned: Microsoft Corporation; BASF SE; International Business Machines Corporation; Bayer AG; Deere & Company
• 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 Including The Impact Of Interest Rates, Inflation, Geopolitics, Covid And Recovery On The Market

5. Global Applied AI In Agriculture Growth Analysis And Strategic Analysis Framework

• 5.1. Global Applied AI In Agriculture PESTEL Analysis (Political, Social, Technological, Environmental and Legal Factors, Drivers and Restraints)
• 5.2. Analysis Of End Use Industries
• 5.3. Global Applied AI In Agriculture Market Growth Rate Analysis
• 5.4. Global Applied AI In Agriculture Historic Market Size and Growth, 2019 - 2024, Value ($ Billion)
• 5.5. Global Applied AI In Agriculture Forecast Market Size and Growth, 2024 - 2029, 2034F, Value ($ Billion)
• 5.6. Global Applied AI In Agriculture Total Addressable Market (TAM)

6. Applied AI In Agriculture Market Segmentation

• 6.1. Global Applied AI In Agriculture Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• Hardware
• Software
• Service
• 6.2. Global Applied AI In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• Machine Learning And Deep Learning
• Predictive Analytics
• Computer Vision
• 6.3. Global Applied AI In Agriculture Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• Precision Farming
• Drone Analytics
• Agriculture Robots
• Livestock Monitoring
• Other Applications
• 6.4. Global Applied AI In Agriculture Market, Sub-Segmentation Of Hardware, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• Sensors (Soil, Climate, Crop Monitoring)
• Drones For Crop Surveillance
• Automated Tractors And Harvesters
• GPS & GIS Systems For Precision Farming
• Imaging Systems
• IoT Devices For Agricultural Monitoring
• Robotics For Seeding, Planting, And Weeding
• 6.5. Global Applied AI In Agriculture Market, Sub-Segmentation Of Software, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• Farm Management Software
• AI-Based Crop Prediction Software
• Precision Agriculture Software
• Irrigation Management Software
• Pest And Disease Detection Software
• Data Analytics And Visualization Tools
• Supply Chain Optimization Software
• Machine Learning Algorithms For Yield Prediction
• 6.6. Global Applied AI In Agriculture Market, Sub-Segmentation Of Service, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• AI Integration And Implementation Services
• Data Analytics Services For Crop And Soil Analysis
• Cloud-Based Agricultural Services
• AI Model Training And Customization Services
• Maintenance And Support Services
• Consultation And Advisory Services For AI Adoption In Agriculture

7. Applied AI In Agriculture Market Regional And Country Analysis

• 7.1. Global Applied AI In Agriculture Market, Split By Region, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 7.2. Global Applied AI In Agriculture Market, Split By Country, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

8. Asia-Pacific Applied AI In Agriculture Market

• 8.1. Asia-Pacific Applied AI In Agriculture Market Overview
• Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
• 8.2. Asia-Pacific Applied AI In Agriculture Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 8.3. Asia-Pacific Applied AI In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 8.4. Asia-Pacific Applied AI In Agriculture Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ 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, 2019-2024, 2024-2029F, 2034F,$ Billion
• 9.3. China Applied AI In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
• 9.4. China Applied AI In Agriculture Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion

10. India Applied AI In Agriculture Market

• 10.1. India Applied AI In Agriculture Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 10.2. India Applied AI In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 10.3. India Applied AI In Agriculture Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ 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, 2019-2024, 2024-2029F, 2034F, $ Billion
• 11.3. Japan Applied AI In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 11.4. Japan Applied AI In Agriculture Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

12. Australia Applied AI In Agriculture Market

• 12.1. Australia Applied AI In Agriculture Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 12.2. Australia Applied AI In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 12.3. Australia Applied AI In Agriculture Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

13. Indonesia Applied AI In Agriculture Market

• 13.1. Indonesia Applied AI In Agriculture Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 13.2. Indonesia Applied AI In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 13.3. Indonesia Applied AI In Agriculture Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ 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, 2019-2024, 2024-2029F, 2034F, $ Billion
• 14.3. South Korea Applied AI In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 14.4. South Korea Applied AI In Agriculture Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ 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, 2019-2024, 2024-2029F, 2034F, $ Billion
• 15.3. Western Europe Applied AI In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 15.4. Western Europe Applied AI In Agriculture Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

16. UK Applied AI In Agriculture Market

• 16.1. UK Applied AI In Agriculture Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 16.2. UK Applied AI In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 16.3. UK Applied AI In Agriculture Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

17. Germany Applied AI In Agriculture Market

• 17.1. Germany Applied AI In Agriculture Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 17.2. Germany Applied AI In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 17.3. Germany Applied AI In Agriculture Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

18. France Applied AI In Agriculture Market

• 18.1. France Applied AI In Agriculture Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 18.2. France Applied AI In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 18.3. France Applied AI In Agriculture Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

19. Italy Applied AI In Agriculture Market

• 19.1. Italy Applied AI In Agriculture Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 19.2. Italy Applied AI In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 19.3. Italy Applied AI In Agriculture Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

20. Spain Applied AI In Agriculture Market

• 20.1. Spain Applied AI In Agriculture Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 20.2. Spain Applied AI In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 20.3. Spain Applied AI In Agriculture Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ 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, 2019-2024, 2024-2029F, 2034F, $ Billion
• 21.3. Eastern Europe Applied AI In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 21.4. Eastern Europe Applied AI In Agriculture Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

22. Russia Applied AI In Agriculture Market

• 22.1. Russia Applied AI In Agriculture Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 22.2. Russia Applied AI In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 22.3. Russia Applied AI In Agriculture Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ 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, 2019-2024, 2024-2029F, 2034F, $ Billion
• 23.3. North America Applied AI In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 23.4. North America Applied AI In Agriculture Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ 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, 2019-2024, 2024-2029F, 2034F, $ Billion
• 24.3. USA Applied AI In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 24.4. USA Applied AI In Agriculture Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ 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, 2019-2024, 2024-2029F, 2034F, $ Billion
• 25.3. Canada Applied AI In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 25.4. Canada Applied AI In Agriculture Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ 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, 2019-2024, 2024-2029F, 2034F, $ Billion
• 26.3. South America Applied AI In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 26.4. South America Applied AI In Agriculture Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

27. Brazil Applied AI In Agriculture Market

• 27.1. Brazil Applied AI In Agriculture Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 27.2. Brazil Applied AI In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 27.3. Brazil Applied AI In Agriculture Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ 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, 2019-2024, 2024-2029F, 2034F, $ Billion
• 28.3. Middle East Applied AI In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 28.4. Middle East Applied AI In Agriculture Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ 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, 2019-2024, 2024-2029F, 2034F, $ Billion
• 29.3. Africa Applied AI In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 29.4. Africa Applied AI In Agriculture Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ 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 Overview, Products and Services, Strategy and Financial Analysis
  • 30.2.2. BASF SE Overview, Products and Services, Strategy and Financial Analysis
  • 30.2.3. International Business Machines Corporation (IBM) Overview, Products and Services, Strategy and Financial Analysis
  • 30.2.4. Bayer AG Overview, Products and Services, Strategy and Financial Analysis
  • 30.2.5. Deere & Company Overview, Products and Services, Strategy and Financial Analysis

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 And Dashboard

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

34. Recent Developments In The Applied AI In Agriculture Market

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

• 35.1 Applied AI In Agriculture Market In 2029 - Countries Offering Most New Opportunities
• 35.2 Applied AI In Agriculture Market In 2029 - Segments Offering Most New Opportunities
• 35.3 Applied AI In Agriculture Market In 2029 - Growth Strategies
  • 35.3.1 Market Trend Based Strategies
  • 35.3.2 Competitor Strategies

36. Appendix

• 36.1. Abbreviations
• 36.2. Currencies
• 36.3. Historic And Forecast Inflation Rates
• 36.4. Research Inquiries
• 36.5. The Business Research Company
• 36.6. Copyright And Disclaimer