全球农业人工智慧市场：市场规模和占有率分析 - 趋势、驱动因素、竞争格局和预测（2024-2030）

主要亮点

2023年全球农业AI（人工智慧）市场规模将达16.437亿美元，2030年将达到78.541亿美元，复合年增长率为25.1%。

物联网的日益普及是推动农业人工智慧解决方案需求的关键因素。

由于物联网提供的各种好处，例如云端运算和行动装置的采用增加，以及处理大量非结构化和结构化资料的能力，农业对物联网的需求正在增加。农业物联网感测器被用来为农民提供有关农作物产量、降雨量、害虫爆发和土壤营养的关键数据。

机器人在农业中的使用不断增加是该行业观察到的一个主要趋势。随着这项技术在农业中的应用不断增加，农业方法也变得更加先进和现代化。机器人公司正在推出配备人工智慧的产品，以在非结构化和动态的农业环境中工作。

市场洞察

北美是该产业的最大贡献者，2023 年占 45% 的占有率。这可能是由于农业产业对尖端技术提高产量的接受程度较高。尤其是美国在该产业处于领先地位，预计未来10年复合年增长率将维持在25.5%以上。

亚太地区预计未来几年将实现最快的成长，达到 25.9%。这主要是由于农业机器人、精准农业和无人机分析等智慧农业方法越来越被接受。

服务类别预计未来几年将呈现25.3%的高成长率。这是由于对农场管理服务的需求不断增加，以监测感测器活动和操作以及处理有关作物健康的大型数据集。

机器学习类别在2023年对该产业的贡献最大，约占50%的占有率。这可能是由于世界各地的公司和农民迅速采用这项技术，将数据技术和农艺结合来提高作物产量。

到2023年，精准农业将以约40%的占有率引领业界。这可能是由于以有限的现有资源生产最高产量的需求增加，最终降低了作物生产成本。

未来几年，无人机分析类别将以超过 25.7% 的最高速度成长。这是由于对高品质粮食作物的需求不断增长来养活快速增长的全球人口，以及为改进无人机而增加的风险投资。

在本报告中，我们分析了全球农业人工智慧市场，包括市场的基本结构和最新情况、主要推动和限制因素以及全球、分地区和主要国家的市场规模前景（以货币计算），2017 -2030），依产品供应、技术和应用划分的详细趋势、市场竞争的现状以及主要公司的概况。

目录

第一章研究范围

第二章研究方法

第 3 章执行摘要

第 4 章市场指标

第五章产业展望

• 市场动态
  • 趋势
  • 促进因素
  • 抑制因素/课题
  • 促进/抑制因子影响分析
• 新型冠状病毒感染 (COVID-19) 的影响
• 波特五力分析

第六章世界市场

• 摘要
• 市场收入：依产品分类（2017-2030 年）
• 市场收入：依技术划分（2017-2030 年）
• 市场收入：依应用分类（2017-2030 年）
• 市场收入：依地区划分（2017-2030 年）

第七章北美市场

• 摘要
• 市场收入：依产品分类（2017-2030 年）
• 市场收入：依技术划分（2017-2030 年）
• 市场收入：依应用分类（2017-2030 年）

第8章欧洲市场

第9章亚太市场

第10章拉丁美洲市场

第十一章中东非洲市场

第12章美国市场

• 摘要
• 市场收入：依产品分类（2017-2030 年）
• 市场收入：依技术划分（2017-2030 年）
• 市场收入：依应用分类（2017-2030 年）

第十三章加拿大市场

第14章德国市场

第十五章法国市场

第十六章英国市场

第十七章义大利市场

第十八章西班牙市场

第十九章日本市场

第20章中国市场

第21章印度市场

第22章澳洲市场

第23章韩国市场

第24章巴西市场

第25章墨西哥市场

第26章沙乌地阿拉伯市场

第27章南非市场

第 28 章阿联酋 (UAE) 市场

第29章竞争态势

• 市场参与者及其产品列表
• 主要公司的竞争基准
• 各大公司的产品基准
• 近期策略发展

第30章公司简介

• 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章附录

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