查看購物車
  • Simplified Chinese
  • English
  • Japanese
  • Korean
封面
市場調查報告書
商品編碼
1484690

全球農業人工智慧市場：市場規模和佔有率分析 - 趨勢、驅動因素、競爭格局和預測（2024-2030）

AI in Agriculture Market Size & Share Analysis - Trends, Drivers, Competitive Landscape, and Forecasts (2024 - 2030)
出版日期: | 出版商: Prescient & Strategic Intelligence | 英文 260 Pages | 商品交期: 2-3個工作天內

價格
簡介目錄

主要亮點

2023年全球農業AI（人工智慧）市場規模將達16.437億美元，2030年將達到78.541億美元，複合年增長率為25.1%。

物聯網的日益普及是推動農業人工智慧解決方案需求的關鍵因素。

由於物聯網提供的各種好處，例如雲端運算和行動裝置的採用增加，以及處理大量非結構化和結構化資料的能力，農業對物聯網的需求正在增加。農業物聯網感測器被用來為農民提供有關農作物產量、降雨量、害蟲爆發和土壤營養的關鍵數據。

機器人在農業中的使用不斷增加是該行業觀察到的一個主要趨勢。隨著這項技術在農業中的應用不斷增加，農業方法也變得更加先進和現代化。機器人公司正在推出配備人工智慧的產品，以在非結構化和動態的農業環境中工作。

市場洞察

北美是該產業的最大貢獻者，2023 年佔 45% 的佔有率。這可能是由於農業產業對尖端技術提高產量的接受程度較高。尤其是美國在該產業處於領先地位，預計未來10年複合年增長率將維持在25.5%以上。

亞太地區預計未來幾年將實現最快的成長，達到 25.9%。這主要是由於農業機器人、精準農業和無人機分析等智慧農業方法越來越被接受。

服務類別預計未來幾年將呈現25.3%的高成長率。這是由於對農場管理服務的需求不斷增加，以監測感測器活動和操作以及處理有關作物健康的大型數據集。

機器學習類別在2023年對該產業的貢獻最大，約佔50%的佔有率。這可能是由於世界各地的公司和農民迅速採用這項技術，將數據技術和農藝結合來提高作物產量。

到2023年，精準農業將以約40%的佔有率引領業界。這可能是由於以有限的現有資源生產最高產量的需求增加，最終降低了作物生產成本。

未來幾年，無人機分析類別將以超過 25.7% 的最高速度成長。這是由於對高品質糧食作物的需求不斷增長來養活快速增長的全球人口，以及為改進無人機而增加的風險投資。

在本報告中，我們分析了全球農業人工智慧市場，包括市場的基本結構和最新情況、主要推動和限制因素以及全球、分地區和主要國家的市場規模前景（以貨幣計算），2017 -2030），依產品供應、技術和應用劃分的詳細趨勢、市場競爭的現狀以及主要公司的概況。

目錄

第一章研究範圍

第二章研究方法

第 3 章執行摘要

第 4 章市場指標

第五章產業展望

  • 市場動態
    • 趨勢
    • 促進因素
    • 抑制因素/課題
    • 促進/抑制因子影響分析
  • 新型冠狀病毒感染 (COVID-19) 的影響
  • 波特五力分析

第六章世界市場

  • 摘要
  • 市場收入：依產品分類（2017-2030 年）
  • 市場收入：依技術劃分（2017-2030 年）
  • 市場收入：依應用分類（2017-2030 年）
  • 市場收入：依地區劃分（2017-2030 年）

第七章北美市場

  • 摘要
  • 市場收入：依產品分類（2017-2030 年）
  • 市場收入：依技術劃分（2017-2030 年）
  • 市場收入：依應用分類（2017-2030 年）

第8章歐洲市場

第9章亞太市場

第10章拉丁美洲市場

第十一章中東非洲市場

第12章美國市場

  • 摘要
  • 市場收入：依產品分類（2017-2030 年）
  • 市場收入：依技術劃分（2017-2030 年）
  • 市場收入：依應用分類（2017-2030 年）

第十三章加拿大市場

第14章德國市場

第十五章法國市場

第十六章英國市場

第十七章義大利市場

第十八章西班牙市場

第十九章日本市場

第20章中國市場

第21章印度市場

第22章澳洲市場

第23章韓國市場

第24章巴西市場

第25章墨西哥市場

第26章沙烏地阿拉伯市場

第27章南非市場

第 28 章阿聯酋 (UAE) 市場

第29章競爭態勢

  • 市場參與者及其產品列表
  • 主要公司的競爭基準
  • 各大公司的產品基準
  • 近期策略發展

第30章公司簡介

  • IBM Corporation
  • Raven Industries Inc.
  • Ag Leader Technology
  • Farmers Edge Inc.
  • Deere & Company
  • Google LLC
  • Gamaya SA
  • AGCO Corporation
  • Microsoft Corporation
  • Bayer AG
  • AgEagle Aerial Systems Inc.

第31章附錄

簡介目錄
Product Code: 10828

Key Highlights

The AI in agriculture market was valued at USD 1,643.7 million in 2023, and it will rise to USD 7,854.1 million, growing at a 25.1% compound annual growth rate, by 2030.

The increasing acceptance of IoT is an important reason for boosting the need for AI solutions in the farming industry.

With the increasing adoption of cloud computing & mobile devices and the different advantages provided by IoT like the capability to handle an enormous amount of unstructured and structured data, the need for IoT in agriculture is rising.

IoT sensors in agricultural applications are employed to offer farmers important data regarding crop yields, rainfall, pest infestation, and soil nutrition.

With the surging populace, the need for innovative technologies in agricultural applications for enhancing crop production is rising globally.

The increasing utilization of robots in agriculture is a major trend being observed in the industry. With the increasing use of this technology in agriculture, agricultural approaches are progressively becoming more advanced and modern.

The emphasis of agriculture stakeholders is largely on improving the output and decreasing the amount of carbon footprints in the complete process, via innovative farming procedures.

Robotics firms are launching products that are armed with AI, to work in unstructured and dynamic farming environments.

Market Insights

North America was the largest contributor to the industry in 2023, with a 45% share. This can be because of the high acceptance of cutting-edge technologies in the farming industry to boost production.

The U.S. led the industry in North America, and it is likely to advance at more than 25.5% compound annual growth rate during this decade.

APAC will observe the fastest growth, of 25.9%, in the years to come. This is mainly because of the increasing acceptance of smart farming methods, including agronomic robots, precision farming, and drone analytics.

The service category will advance at a higher rate, of 25.3%, in the years to come.

This will be because of the rising need for managed services by farmers for monitoring the activities and operations of sensors and handling enormous data sets regarding crop health.

The machine learning category was the largest contributor to the industry in 2023, with approximately 50% share.

This can be because of the surging acceptance of this technology by different organizations and farmers globally to improve crop yield with a combination of data technologies and agronomic sciences.

The category is further likely to remain the largest throughout this decade, because of the increasing utilization of ML in crop management and field environment management.

Precision farming led the industry in 2023, with approximately 40% share. This can be because of the rising demand for best yield production with limited existing resources, eventually, decreasing crop production expenses.

The drone analytics category will advance at the highest rate, of more than 25.7%, in the years to come.

This is because of the rising venture investment for the improvement of drones, together with the increasing need for high-quality food crops, to cater to the surging population globally.

The AI in agriculture industry is very competitive, because of the existence of various international players.

Table of Contents

Chapter 1. Research Scope

  • 1.1. Research Objectives
  • 1.2. Market Definition
  • 1.3. Analysis Period
  • 1.4. Market Size Breakdown by Segments
    • 1.4.1. Market size breakdown, by type
    • 1.4.2. Market size breakdown, by technology
    • 1.4.3. Market size breakdown, by application
    • 1.4.4. Market size breakdown, by region
    • 1.4.5. Market size breakdown, by country
  • 1.5. Market Data Reporting Unit
    • 1.5.1. Value
  • 1.6. Key Stakeholders

Chapter 2. Research Methodology

  • 2.1. Secondary Research
    • 2.1.1. Paid
    • 2.1.2. Unpaid
    • 2.1.3. P&S Intelligence database
  • 2.2. Primary Research
  • 2.3. Market Size Estimation
  • 2.4. Data Triangulation
  • 2.5. Currency Conversion Rates
  • 2.6. Assumptions for the Study
  • 2.7. Notes and Caveats

Chapter 3. Executive Summary

Chapter 4. Market Indicators

Chapter 5. Industry Outlook

  • 5.1. Market Dynamics
    • 5.1.1. Trends
    • 5.1.2. Drivers
    • 5.1.3. Restraints/challenges
    • 5.1.4. Impact analysis of drivers/restraints
  • 5.2. Impact of COVID-19
  • 5.3. Porter's Five Forces Analysis
    • 5.3.1. Bargaining power of buyers
    • 5.3.2. Bargaining power of suppliers
    • 5.3.3. Threat of new entrants
    • 5.3.4. Intensity of rivalry
    • 5.3.5. Threat of substitutes

Chapter 6. Global Market

  • 6.1. Overview
  • 6.2. Market Revenue, by Offering Type (2017-2030)
  • 6.3. Market Revenue, by Technology (2017-2030)
  • 6.4. Market Revenue, by Application (2017-2030)
  • 6.5. Market Revenue, by Region (2017-2030)

Chapter 7. North America Market

  • 7.1. Overview
  • 7.2. Market Revenue, by Offering Type (2017-2030)
  • 7.3. Market Revenue, by Technology (2017-2030)
  • 7.4. Market Revenue, by Application (2017-2030)

Chapter 8. Europe Market

  • 8.1. Overview
  • 8.2. Market Revenue, by Offering Type (2017-2030)
  • 8.3. Market Revenue, by Technology (2017-2030)
  • 8.4. Market Revenue, by Application (2017-2030)

Chapter 9. APAC Market

  • 9.1. Overview
  • 9.2. Market Revenue, by Offering Type (2017-2030)
  • 9.3. Market Revenue, by Technology (2017-2030)
  • 9.4. Market Revenue, by Application (2017-2030)

Chapter 10. LATAM Market

  • 10.1. Overview
  • 10.2. Market Revenue, by Offering Type (2017-2030)
  • 10.3. Market Revenue, by Technology (2017-2030)
  • 10.4. Market Revenue, by Application (2017-2030)

Chapter 11. MEA Market

  • 11.1. Overview
  • 11.2. Market Revenue, by Offering Type (2017-2030)
  • 11.3. Market Revenue, by Technology (2017-2030)
  • 11.4. Market Revenue, by Application (2017-2030)

Chapter 12. U.S. Market

  • 12.1. Overview
  • 12.2. Market Revenue, by Offering Type (2017-2030)
  • 12.3. Market Revenue, by Technology (2017-2030)
  • 12.4. Market Revenue, by Application (2017-2030)

Chapter 13. Canada Market

  • 13.1. Overview
  • 13.2. Market Revenue, by Offering Type (2017-2030)
  • 13.3. Market Revenue, by Technology (2017-2030)
  • 13.4. Market Revenue, by Application (2017-2030)

Chapter 14. Germany Market

  • 14.1. Overview
  • 14.2. Market Revenue, by Offering Type (2017-2030)
  • 14.3. Market Revenue, by Technology (2017-2030)
  • 14.4. Market Revenue, by Application (2017-2030)

Chapter 15. France Market

  • 15.1. Overview
  • 15.2. Market Revenue, by Offering Type (2017-2030)
  • 15.3. Market Revenue, by Technology (2017-2030)
  • 15.4. Market Revenue, by Application (2017-2030)

Chapter 16. U.K. Market

  • 16.1. Overview
  • 16.2. Market Revenue, by Offering Type (2017-2030)
  • 16.3. Market Revenue, by Technology (2017-2030)
  • 16.4. Market Revenue, by Application (2017-2030)

Chapter 17. Italy Market

  • 17.1. Overview
  • 17.2. Market Revenue, by Offering Type (2017-2030)
  • 17.3. Market Revenue, by Technology (2017-2030)
  • 17.4. Market Revenue, by Application (2017-2030)

Chapter 18. Spain Market

  • 18.1. Overview
  • 18.2. Market Revenue, by Offering Type (2017-2030)
  • 18.3. Market Revenue, by Technology (2017-2030)
  • 18.4. Market Revenue, by Application (2017-2030)

Chapter 19. Japan Market

  • 19.1. Overview
  • 19.2. Market Revenue, by Offering Type (2017-2030)
  • 19.3. Market Revenue, by Technology (2017-2030)
  • 19.4. Market Revenue, by Application (2017-2030)

Chapter 20. China Market

  • 20.1. Overview
  • 20.2. Market Revenue, by Offering Type (2017-2030)
  • 20.3. Market Revenue, by Technology (2017-2030)
  • 20.4. Market Revenue, by Application (2017-2030)

Chapter 21. India Market

  • 21.1. Overview
  • 21.2. Market Revenue, by Offering Type (2017-2030)
  • 21.3. Market Revenue, by Technology (2017-2030)
  • 21.4. Market Revenue, by Application (2017-2030)

Chapter 22. Australia Market

  • 22.1. Overview
  • 22.2. Market Revenue, by Offering Type (2017-2030)
  • 22.3. Market Revenue, by Technology (2017-2030)
  • 22.4. Market Revenue, by Application (2017-2030)

Chapter 23. South Korea Market

  • 23.1. Overview
  • 23.2. Market Revenue, by Offering Type (2017-2030)
  • 23.3. Market Revenue, by Technology (2017-2030)
  • 23.4. Market Revenue, by Application (2017-2030)

Chapter 24. Brazil Market

  • 24.1. Overview
  • 24.2. Market Revenue, by Offering Type (2017-2030)
  • 24.3. Market Revenue, by Technology (2017-2030)
  • 24.4. Market Revenue, by Application (2017-2030)

Chapter 25. Mexico Market

  • 25.1. Overview
  • 25.2. Market Revenue, by Offering Type (2017-2030)
  • 25.3. Market Revenue, by Technology (2017-2030)
  • 25.4. Market Revenue, by Application (2017-2030)

Chapter 26. Saudi Arabia Market

  • 26.1. Overview
  • 26.2. Market Revenue, by Offering Type (2017-2030)
  • 26.3. Market Revenue, by Technology (2017-2030)
  • 26.4. Market Revenue, by Application (2017-2030)

Chapter 27. South Africa Market

  • 27.1. Overview
  • 27.2. Market Revenue, by Offering Type (2017-2030)
  • 27.3. Market Revenue, by Technology (2017-2030)
  • 27.4. Market Revenue, by Application (2017-2030)

Chapter 28. U.A.E. Market

  • 28.1. Overview
  • 28.2. Market Revenue, by Offering Type (2017-2030)
  • 28.3. Market Revenue, by Technology (2017-2030)
  • 28.4. Market Revenue, by Application (2017-2030)

Chapter 29. Competitive Landscape

  • 29.1. List of Market Players and their Offerings
  • 29.2. Competitive Benchmarking of Key Players
  • 29.3. Product Benchmarking of Key Players
  • 29.4. Recent Strategic Developments

Chapter 30. Company Profiles

  • 30.1. 30.1. IBM Corporation
    • 30.1.1. Business overview
    • 30.1.2. Product and service offerings
    • 30.1.3. Key financial summary
  • 30.2. Raven Industries Inc.
    • 30.2.1. Business overview
    • 30.2.2. Product and service offerings
    • 30.2.3. Key financial summary
  • 30.3. Ag Leader Technology
    • 30.3.1. Business overview
    • 30.3.2. Product and service offerings
    • 30.3.3. Key financial summary
  • 30.4. Farmers Edge Inc.
    • 30.4.1. Business overview
    • 30.4.2. Product and service offerings
    • 30.4.3. Key financial summary
  • 30.5. Deere & Company
    • 30.5.1. Business overview
    • 30.5.2. Product and service offerings
    • 30.5.3. Key financial summary
  • 30.6. Google LLC
    • 30.6.1. Business overview
    • 30.6.2. Product and service offerings
    • 30.6.3. Key financial summary
  • 30.7. Gamaya SA
    • 30.7.1. Business overview
    • 30.7.2. Product and service offerings
    • 30.7.3. Key financial summary
  • 30.8. AGCO Corporation
    • 30.8.1. Business overview
    • 30.8.2. Product and service offerings
    • 30.8.3. Key financial summary
  • 30.9. Microsoft Corporation
    • 30.9.1. Business overview
    • 30.9.2. Product and service offerings
    • 30.9.3. Key financial summary
  • 30.10. Bayer AG
    • 30.10.1. Business overview
    • 30.10.2. Product and service offerings
    • 30.10.3. Key financial summary
  • 30.11. AgEagle Aerial Systems Inc.
    • 30.11.1. Business overview
    • 30.11.2. Product and service offerings
    • 30.11.3. Key financial summary

Chapter 31. Appendix

  • 31.1. Abbreviations
  • 31.2. Sources and References
  • 31.3. Related Reports