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1619615

2024 年農業生成人工智慧全球市場報告

Generative Artificial Intelligence (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

農業生成人工智慧的市場規模預計在未來幾年將大幅成長。 2028年，這一數字將以27.4%的複合年成長率成長至5.8億美元。預測期內的預期成長是由精密農業需求增加、緩解氣候變遷的努力、永續農業的壓力、人工智慧融入農業的支持措施和補貼以及增加糧食產量的需要所推動的。預計推動這一成長的主要趨勢包括在農業中使用人工智慧進行資料分析、人工智慧自動化、物聯網和感測器的關鍵發展、人工智慧作物監測以及智慧灌溉系統的開發。

作物產量的增加預計將推動農業人工智慧市場的發展。作物產量是指單位面積土地所獲得的農產品數量。作物產量的增加歸因於多種因素，包括農業實踐的進步、種子品種的改良、技術創新、更好的病蟲害管理、高效灌溉、加強土壤管理、氣候適應以及持續的研究和發展。農業中的生成式人工智慧對於最佳化作物產量至關重要，因為它有助於準確預測和改進耕作條件、資源分配和管理實踐，從而提高生產力並減少浪費。例如，環境、食品和農村事務部在 2024 年 2 月報告稱，英國糧食總產量（包括小麥、大麥、燕麥和小米）到 2022 年將達到近 2,430 萬噸。這意味著比 2021 年成長 8%，價格上漲和產量增加推動產值成長 54%，達到約 79 億美元（62 億英鎊）。因此，作物產量的提高正在推動農業生成人工智慧市場的擴大。

農業市場生成人工智慧的主要企業正在開發生成人工智慧系統等先進技術，以改善農業實踐。生成式人工智慧系統可以建立新的資料樣本，重現原始資料的特徵，通常用於影像生成、文字建立和資料增強等任務。例如，2024 年 4 月，印度農業技術公司 Cropin Technology 宣布推出 Aksara。這種最先進的生成人工智慧系統專為氣候智慧型農業而設計，將在印度半島的六個國家使用，用於生產水稻、小麥、玉米、高粱、大麥、棉花、甘蔗、大豆、列出了五種主要作物的推薦作物。 Aksara 根據特定的農業氣候條件提供關於作物投入和氣候智慧實踐的可行見解，幫助南半球服務不足的農業社區克服面臨的挑戰並透過人工智慧主導的解決方案為農業部門的相關人員提供支援。

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

  • 全球農業生成人工智慧市場：促進因素與限制因素
    • 市場促進因素
    • 市場限制因素
  • 全球生成人工智慧在農業市場的表現：規模與成長，2018-2023
  • 全球農業生成人工智慧市場預測：規模與成長，2023-2028 年、2033 年

第6章 市場細分

  • 全球農業生成人工智慧市場：按作物類型分類的實際情況和預測，2018-2023、2023-2028、2033
  • 小麥
  • 米
  • 玉米
  • 蔬菜
  • 其他
  • 全球農業生成人工智慧市場：依技術分類的表現與預測，2018-2023、2023-2028、2033
  • 深度學習
  • 電腦視覺
  • 機器學習
  • 自然語言處理
  • 機器人技術
  • 全球農業生成人工智慧市場：按應用、效能和預測，2018-2023、2023-2028、2033
  • 精密農業
  • 牲畜管理
  • 作物管理
  • 土壤分析
  • 其他
  • 全球農業生成人工智慧市場：最終用戶產業的表現與預測，2018-2023、2023-2028、2033
  • 農業工人
  • 農業科技公司
  • 農業顧問
  • 政府機構
  • 研究所

第 7 章 區域/國家分析

  • 全球農業生成人工智慧市場：按地區、表現和預測，2018-2023、2023-2028、2033
  • 全球農業生成人工智慧市場：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

  • 農業生成人工智慧市場：競爭格局
  • 農業生成人工智慧市場：公司簡介
    • Bayer AG
    • Benson Hill Inc.
    • Raven Industries Inc.
    • AgroStar
    • FarmWise Labs Inc.

第31章 其他重大及創新企業

  • Sentera Inc.
  • Farmers Edge Inc.
  • Taranis
  • AeroFarms LLC
  • Ceres Imaging Inc.
  • CropX Inc.
  • FarmBot
  • Source AG
  • FarmLogs
  • Fasal
  • AgriWebb Pty Ltd.
  • Ecorobotix Ltd.
  • IUNU Inc.
  • Trace Genomics Inc.
  • KisanHub

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: r20620

Generative artificial intelligence (AI) in agriculture involves applying advanced AI techniques, particularly generative models, to improve various farming and agricultural practices. These models analyze historical data, weather patterns, and soil conditions to predict crop yields, aiming to make agriculture more productive, sustainable, and efficient. This enhancement helps strengthen food systems and increase food security.

The primary crops involved in generative AI applications include wheat, rice, corn, vegetables, and others. Wheat, a staple grain used mainly for making flour for bread, pasta, and other baked goods, benefits from generative AI technologies such as deep learning, computer vision, machine learning, natural language processing, and robotics. These technologies are applied in areas like precision farming, livestock management, crop management, and soil analysis. End-users of these AI applications include farmers, agricultural technology companies, agricultural consultants, government agencies, and research institutions.

The generative AI in agriculture market research report is one of a series of new reports from The Business Research Company that provides generative AI in agriculture market statistics, including generative AI in agriculture industry global market size, regional shares, competitors with a generative AI in agriculture market share, detailed generative AI in agriculture market segments, market trends and opportunities, and any further data you may need to thrive in the generative AI in agriculture industry. This generative 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 generative AI in agriculture market size has grown exponentially in recent years. It will grow from $0.17 billion in 2023 to $0.22 billion in 2024 at a compound annual growth rate (CAGR) of 27.3%. The growth during the historic period can be attributed to several factors, a rising global population, reductions in farming operation costs, increasing investment in AgriTech startups, better access to AI tools, and AI's role in developing crops tailored to specific environments.

The generative AI in agriculture market size is expected to see exponential growth in the next few years. It will grow to $0.58 billion in 2028 at a compound annual growth rate (CAGR) of 27.4%. The anticipated growth during the forecast period can be attributed to several factors, rising demand for precision agriculture, efforts to mitigate climate change, pressure for sustainable farming practices, supportive policies and subsidies for AI integration in agriculture, and the need for increased food production. Key trends expected to drive this growth include the use of AI for data analytics in farming, automation through AI, advancements in IoT and sensors, AI-powered crop monitoring, and the development of smart irrigation systems.

The growth in crop yields is anticipated to boost the generative AI in agriculture market. Crop yields refer to the amount of produce obtained per unit area of land. The increase in crop yield rates can be attributed to several factors, including advancements in agricultural practices, improved seed varieties, technological innovations, better pest management, efficient irrigation, enhanced soil management, climate adaptation, and ongoing research and development. Generative AI in agriculture is essential for optimizing crop yields because it facilitates precise predictions and enhancements in growing conditions, resource allocation, and management practices, leading to greater productivity and reduced waste. For example, the Department for Environment, Food and Rural Affairs reported in February 2024 that the UK's total cereal production, including wheat, barley, oats, and minor cereals, reached nearly 24.3 million metric tons in 2022. This represents an 8% increase from 2021, with the production value rising by 54% to about $7.9 billion (£6.2 billion) due to higher prices and increased output. Hence, the rise in crop yields is driving the expansion of the generative AI in agriculture market.

Leading companies in the generative AI in agriculture market are developing advanced technologies, such as generative AI systems, to improve agricultural practices. Generative AI systems are capable of creating new data samples that replicate the characteristics of an original dataset, often used for tasks such as image generation, text creation, and data augmentation. For instance, in April 2024, Cropin Technology, an agritech company based in India, launched Aksara. This cutting-edge generative AI system is designed for climate-smart agriculture and provides tailored recommendations for nine major crops-paddy, wheat, maize, sorghum, barley, cotton, sugarcane, soybeans, and millets-across six countries in the Indian subcontinent. Aksara delivers actionable insights on crop inputs and climate-smart practices based on specific agro-climatic conditions, helping to overcome challenges faced by underserved farming communities in the Global South and empowering agriculture sector stakeholders with scalable, AI-driven solutions.

In September 2023, SAP SE, a German company specializing in generative AI solutions for agriculture, partnered with Vista GmbH. This collaboration aims to offer an integrated solution that enables agribusinesses, food companies, and public sector organizations to leverage crop predictions based on Vista's advanced crop growth and digital twin models. The integration allows users to seamlessly incorporate these insights into their business processes through SAP Intelligent Agriculture. Vista GmbH is a German provider of generative AI solutions for agriculture.

Major companies operating in the generative artificial intelligence (AI) in agriculture market are Bayer AG, Benson Hill Inc., Raven Industries Inc., AgroStar, FarmWise Labs Inc., Sentera Inc., Farmers Edge Inc., Taranis, AeroFarms LLC, Ceres Imaging Inc., CropX Inc., FarmBot, Source AG, FarmLogs, Fasal, AgriWebb Pty Ltd., Ecorobotix Ltd., IUNU Inc., Trace Genomics Inc., KisanHub, Agmatix, Agroop, Aker Technologies Inc., Bloomfield Robotics, SmartFarm, Harvest CROO LLC

North America was the largest region in the generative AI in agriculture market in 2023. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the generative artificial intelligence (AI) in agriculture market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

The countries covered in the generative artificial intelligence (AI) in agriculture market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The generative AI in agriculture market consists of revenues earned by entities by providing services such as pest and disease detection, soil health monitoring, irrigation management and genetic analysis for breeding. The market value includes the value of related goods sold by the service provider or included within the service offering. The generative AI in agriculture market also includes sales of supply chain optimization software, AI-driven crop monitoring systems, yield prediction software and soil health analysis kits. 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.

Generative Artificial Intelligence (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 generative artificial intelligence (AI) in agriculture market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

Reasons to Purchase

  • Gain a truly global perspective with the most comprehensive report available on this market covering 50+ geographies.
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  • 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.
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Where is the largest and fastest growing market for generative artificial intelligence (AI) in agriculture ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward? The generative artificial intelligence (AI) in agriculture market global report from the Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, 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 Crop Type: Wheat; Rice; Corn; Vegetables; Other Crop Types
  • 2) By Technology: Deep Learning; Computer Vision; Machine Learning; Natural Language Processing; Robotics
  • 3) By Application: Precision Farming; Livestock Management; Crop Management; Soil Analysis; Other Applications
  • 4) By End User Industry: Farmer; Agriculture Technology Companies; Agriculture Consultants; Government Agencies; Research Institutions
  • Companies Mentioned: Bayer AG; Benson Hill Inc.; Raven Industries Inc.; AgroStar; FarmWise Labs Inc.
  • 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. Generative Artificial intelligence (AI) In Agriculture Market Characteristics

3. Generative Artificial intelligence (AI) In Agriculture Market Trends And Strategies

4. Generative Artificial intelligence (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 Generative Artificial intelligence (AI) In Agriculture Market Size and Growth

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

6. Generative Artificial intelligence (AI) In Agriculture Market Segmentation

  • 6.1. Global Generative Artificial intelligence (AI) In Agriculture Market, Segmentation By Crop Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • Wheat
  • Rice
  • Corn
  • Vegetables
  • Other Crop Types
  • 6.2. Global Generative Artificial intelligence (AI) In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • Deep Learning
  • Computer Vision
  • Machine Learning
  • Natural Language Processing
  • Robotics
  • 6.3. Global Generative Artificial intelligence (AI) In Agriculture Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • Precision Farming
  • Livestock Management
  • Crop Management
  • Soil Analysis
  • Other Applications
  • 6.4. Global Generative Artificial intelligence (AI) In Agriculture Market, Segmentation By End User Industry, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • Farmer
  • Agriculture Technology Companies
  • Agriculture Consultants
  • Government Agencies
  • Research Institutions

7. Generative Artificial intelligence (AI) In Agriculture Market Regional And Country Analysis

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

8. Asia-Pacific Generative Artificial intelligence (AI) In Agriculture Market

  • 8.1. Asia-Pacific Generative Artificial intelligence (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 Generative Artificial intelligence (AI) In Agriculture Market, Segmentation By Crop Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 8.3. Asia-Pacific Generative Artificial intelligence (AI) In Agriculture Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 8.4. Asia-Pacific Generative Artificial intelligence (AI) In Agriculture Market, Segmentation By End User Industry, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

9. China Generative Artificial intelligence (AI) In Agriculture Market

  • 9.1. China Generative Artificial intelligence (AI) In Agriculture Market Overview
  • 9.2. China Generative Artificial intelligence (AI) In Agriculture Market, Segmentation By Crop Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F,$ Billion
  • 9.3. China Generative Artificial intelligence (AI) In Agriculture Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F,$ Billion
  • 9.4. China Generative Artificial intelligence (AI) In Agriculture Market, Segmentation By End User Industry, Historic and Forecast, 2018-2023, 2023-2028F, 2033F,$ Billion

10. India Generative Artificial intelligence (AI) In Agriculture Market

  • 10.1. India Generative Artificial intelligence (AI) In Agriculture Market, Segmentation By Crop Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 10.2. India Generative Artificial intelligence (AI) In Agriculture Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 10.3. India Generative Artificial intelligence (AI) In Agriculture Market, Segmentation By End User Industry, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

11. Japan Generative Artificial intelligence (AI) In Agriculture Market

  • 11.1. Japan Generative Artificial intelligence (AI) In Agriculture Market Overview
  • 11.2. Japan Generative Artificial intelligence (AI) In Agriculture Market, Segmentation By Crop Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 11.3. Japan Generative Artificial intelligence (AI) In Agriculture Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 11.4. Japan Generative Artificial intelligence (AI) In Agriculture Market, Segmentation By End User Industry, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

12. Australia Generative Artificial intelligence (AI) In Agriculture Market

  • 12.1. Australia Generative Artificial intelligence (AI) In Agriculture Market, Segmentation By Crop Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 12.2. Australia Generative Artificial intelligence (AI) In Agriculture Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 12.3. Australia Generative Artificial intelligence (AI) In Agriculture Market, Segmentation By End User Industry, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

13. Indonesia Generative Artificial intelligence (AI) In Agriculture Market

  • 13.1. Indonesia Generative Artificial intelligence (AI) In Agriculture Market, Segmentation By Crop Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 13.2. Indonesia Generative Artificial intelligence (AI) In Agriculture Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 13.3. Indonesia Generative Artificial intelligence (AI) In Agriculture Market, Segmentation By End User Industry, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

14. South Korea Generative Artificial intelligence (AI) In Agriculture Market

  • 14.1. South Korea Generative Artificial intelligence (AI) In Agriculture Market Overview
  • 14.2. South Korea Generative Artificial intelligence (AI) In Agriculture Market, Segmentation By Crop Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 14.3. South Korea Generative Artificial intelligence (AI) In Agriculture Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 14.4. South Korea Generative Artificial intelligence (AI) In Agriculture Market, Segmentation By End User Industry, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

15. Western Europe Generative Artificial intelligence (AI) In Agriculture Market

  • 15.1. Western Europe Generative Artificial intelligence (AI) In Agriculture Market Overview
  • 15.2. Western Europe Generative Artificial intelligence (AI) In Agriculture Market, Segmentation By Crop Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 15.3. Western Europe Generative Artificial intelligence (AI) In Agriculture Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 15.4. Western Europe Generative Artificial intelligence (AI) In Agriculture Market, Segmentation By End User Industry, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

16. UK Generative Artificial intelligence (AI) In Agriculture Market

  • 16.1. UK Generative Artificial intelligence (AI) In Agriculture Market, Segmentation By Crop Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 16.2. UK Generative Artificial intelligence (AI) In Agriculture Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 16.3. UK Generative Artificial intelligence (AI) In Agriculture Market, Segmentation By End User Industry, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

17. Germany Generative Artificial intelligence (AI) In Agriculture Market

  • 17.1. Germany Generative Artificial intelligence (AI) In Agriculture Market, Segmentation By Crop Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 17.2. Germany Generative Artificial intelligence (AI) In Agriculture Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 17.3. Germany Generative Artificial intelligence (AI) In Agriculture Market, Segmentation By End User Industry, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

18. France Generative Artificial intelligence (AI) In Agriculture Market

  • 18.1. France Generative Artificial intelligence (AI) In Agriculture Market, Segmentation By Crop Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 18.2. France Generative Artificial intelligence (AI) In Agriculture Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 18.3. France Generative Artificial intelligence (AI) In Agriculture Market, Segmentation By End User Industry, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

19. Italy Generative Artificial intelligence (AI) In Agriculture Market

  • 19.1. Italy Generative Artificial intelligence (AI) In Agriculture Market, Segmentation By Crop Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 19.2. Italy Generative Artificial intelligence (AI) In Agriculture Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 19.3. Italy Generative Artificial intelligence (AI) In Agriculture Market, Segmentation By End User Industry, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

20. Spain Generative Artificial intelligence (AI) In Agriculture Market

  • 20.1. Spain Generative Artificial intelligence (AI) In Agriculture Market, Segmentation By Crop Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 20.2. Spain Generative Artificial intelligence (AI) In Agriculture Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 20.3. Spain Generative Artificial intelligence (AI) In Agriculture Market, Segmentation By End User Industry, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

21. Eastern Europe Generative Artificial intelligence (AI) In Agriculture Market

  • 21.1. Eastern Europe Generative Artificial intelligence (AI) In Agriculture Market Overview
  • 21.2. Eastern Europe Generative Artificial intelligence (AI) In Agriculture Market, Segmentation By Crop Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 21.3. Eastern Europe Generative Artificial intelligence (AI) In Agriculture Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 21.4. Eastern Europe Generative Artificial intelligence (AI) In Agriculture Market, Segmentation By End User Industry, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

22. Russia Generative Artificial intelligence (AI) In Agriculture Market

  • 22.1. Russia Generative Artificial intelligence (AI) In Agriculture Market, Segmentation By Crop Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 22.2. Russia Generative Artificial intelligence (AI) In Agriculture Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 22.3. Russia Generative Artificial intelligence (AI) In Agriculture Market, Segmentation By End User Industry, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

23. North America Generative Artificial intelligence (AI) In Agriculture Market

  • 23.1. North America Generative Artificial intelligence (AI) In Agriculture Market Overview
  • 23.2. North America Generative Artificial intelligence (AI) In Agriculture Market, Segmentation By Crop Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 23.3. North America Generative Artificial intelligence (AI) In Agriculture Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 23.4. North America Generative Artificial intelligence (AI) In Agriculture Market, Segmentation By End User Industry, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

24. USA Generative Artificial intelligence (AI) In Agriculture Market

  • 24.1. USA Generative Artificial intelligence (AI) In Agriculture Market Overview
  • 24.2. USA Generative Artificial intelligence (AI) In Agriculture Market, Segmentation By Crop Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 24.3. USA Generative Artificial intelligence (AI) In Agriculture Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 24.4. USA Generative Artificial intelligence (AI) In Agriculture Market, Segmentation By End User Industry, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

25. Canada Generative Artificial intelligence (AI) In Agriculture Market

  • 25.1. Canada Generative Artificial intelligence (AI) In Agriculture Market Overview
  • 25.2. Canada Generative Artificial intelligence (AI) In Agriculture Market, Segmentation By Crop Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 25.3. Canada Generative Artificial intelligence (AI) In Agriculture Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 25.4. Canada Generative Artificial intelligence (AI) In Agriculture Market, Segmentation By End User Industry, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

26. South America Generative Artificial intelligence (AI) In Agriculture Market

  • 26.1. South America Generative Artificial intelligence (AI) In Agriculture Market Overview
  • 26.2. South America Generative Artificial intelligence (AI) In Agriculture Market, Segmentation By Crop Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 26.3. South America Generative Artificial intelligence (AI) In Agriculture Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 26.4. South America Generative Artificial intelligence (AI) In Agriculture Market, Segmentation By End User Industry, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

27. Brazil Generative Artificial intelligence (AI) In Agriculture Market

  • 27.1. Brazil Generative Artificial intelligence (AI) In Agriculture Market, Segmentation By Crop Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 27.2. Brazil Generative Artificial intelligence (AI) In Agriculture Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 27.3. Brazil Generative Artificial intelligence (AI) In Agriculture Market, Segmentation By End User Industry, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

28. Middle East Generative Artificial intelligence (AI) In Agriculture Market

  • 28.1. Middle East Generative Artificial intelligence (AI) In Agriculture Market Overview
  • 28.2. Middle East Generative Artificial intelligence (AI) In Agriculture Market, Segmentation By Crop Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 28.3. Middle East Generative Artificial intelligence (AI) In Agriculture Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 28.4. Middle East Generative Artificial intelligence (AI) In Agriculture Market, Segmentation By End User Industry, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

29. Africa Generative Artificial intelligence (AI) In Agriculture Market

  • 29.1. Africa Generative Artificial intelligence (AI) In Agriculture Market Overview
  • 29.2. Africa Generative Artificial intelligence (AI) In Agriculture Market, Segmentation By Crop Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 29.3. Africa Generative Artificial intelligence (AI) In Agriculture Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 29.4. Africa Generative Artificial intelligence (AI) In Agriculture Market, Segmentation By End User Industry, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

30. Generative Artificial intelligence (AI) In Agriculture Market Competitive Landscape And Company Profiles

  • 30.1. Generative Artificial intelligence (AI) In Agriculture Market Competitive Landscape
  • 30.2. Generative Artificial intelligence (AI) In Agriculture Market Company Profiles
    • 30.2.1. Bayer AG
      • 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. Benson Hill Inc.
      • 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. Raven Industries Inc.
      • 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. AgroStar
      • 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. FarmWise Labs Inc.
      • 30.2.5.1. Overview
      • 30.2.5.2. Products and Services
      • 30.2.5.3. Strategy
      • 30.2.5.4. Financial Performance

31. Generative Artificial intelligence (AI) In Agriculture Market Other Major And Innovative Companies

  • 31.1. Sentera Inc.
  • 31.2. Farmers Edge Inc.
  • 31.3. Taranis
  • 31.4. AeroFarms LLC
  • 31.5. Ceres Imaging Inc.
  • 31.6. CropX Inc.
  • 31.7. FarmBot
  • 31.8. Source AG
  • 31.9. FarmLogs
  • 31.10. Fasal
  • 31.11. AgriWebb Pty Ltd.
  • 31.12. Ecorobotix Ltd.
  • 31.13. IUNU Inc.
  • 31.14. Trace Genomics Inc.
  • 31.15. KisanHub

32. Global Generative Artificial intelligence (AI) In Agriculture Market Competitive Benchmarking

33. Global Generative Artificial intelligence (AI) In Agriculture Market Competitive Dashboard

34. Key Mergers And Acquisitions In The Generative Artificial intelligence (AI) In Agriculture Market

35. Generative Artificial intelligence (AI) In Agriculture Market Future Outlook and Potential Analysis

  • 35.1 Generative Artificial intelligence (AI) In Agriculture Market In 2028 - Countries Offering Most New Opportunities
  • 35.2 Generative Artificial intelligence (AI) In Agriculture Market In 2028 - Segments Offering Most New Opportunities
  • 35.3 Generative Artificial intelligence (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