数位农业的美国市场的评估:各技术，各类型，各业务，各提供，各地区，机会，预测(2017年～2031年)

美国数位农业市场规模预计将从 2023 年的 18.6 亿美元增至 2031 年的 67.7 亿美元，预计 2024-2031 年的复合年增长率为 17.50%。美国快速变化的数位农业格局是由对永续农业实践、更高产量和更智慧农场管理日益增长的需求所推动的。精准农业、物联网、资料探勘与分析、无人机（UAV）、卫星影像、农场管理软体等都是正在融入数位农业以优化农场运作的各种技术。这些技术提供有关土壤健康、作物健康、天气模式和设备性能的即时信息，使农民能够做出数据驱动的决策。

市场成长的其他原因包括农民更多地使用精准农业技术、政府转向永续农业，以及儘管全球暖化和农业资源减少但仍需要增加产量。此外，机器学习、人工智慧和云端运算的使用预计将推动先进农业工具和平台的开发。

Deere & Company、Trimble Inc、Bayer AG 等公司正在大力投资研发以实施先进的数位解决方案。此外，农民越来越认识到利用数位农业解决方案的好处，例如更低的成本、更高的产量和更好的资源利用率，从而推动市场成长。然而，高昂的初始成本、资料隐私问题以及操作这些数位设备的熟练劳动力等障碍仍然存在，导致成长放缓。总体而言，美国数位农业市场预计将出现显着增长，透过使用现代技术将传统农业方法转变为以数据为中心的农业方法。

2024 年 5 月，美洲农业合作研究所 (IICA) 正式启动数位农业週 (DAW)，该倡议汇集了美洲农业科技生态系统中最重要的公司。这项启动活动标誌着数位农业週前週的开始，该週将涵盖为期四天的数位化相关主题，并以先前的讨论和举措为基础。

快速的技术进步推动市场成长

技术创新透过推动新理念和提高农场效率，正在显着重塑美国数位农业市场。这些变化在物联网、人工智慧、机器学习、大数据分析和云端运算等领域最为明显。例如，支援物联网的感测器被用来收集有关土壤湿度、养分含量和气候条件的即时资讯。这种准确性有助于农民做出有关灌溉和施肥的决策。

借助人工智慧和机器学习演算法产生的主动见解，农民可以就作物和害虫管理做出更明智的决策。此外，无人机和卫星影像等遥感技术可提供农田的高解析度影像，使农民能够主动识别作物胁迫和疾病。此外，基于云端的农场管理软体透过从各种来源收集资讯并提供对整个农业过程的全面了解来改善决策。

FieldView Drive 2.0 由拜耳公司于 2024 年 8 月在美国推出，是一款便携式、即插即用的小工具，允许农民连接、追踪和记录农业机械操作和建模。在种植、喷洒和收穫时，农民使用数位解决方案来提高田间吞吐量、资料储存和连接性。

本报告针对全球数位农业市场进行研究和分析，提供市场规模和预测、市场动态、主要参与者的现状和前景等。

目录

第1章 计划的范围和定义

第2章 调查手法

第3章 摘要整理

第4章 客户的迴响

• 人口统计(年龄/世代分析 - 婴儿潮世代，X世代，千禧新生代，Z世代，性别，所得 - 低所得，中所利益，高所得，地区，国籍等)
• 市场认知度与产品资讯
• 品牌认知度和忠诚度
• 购买决策时考虑的因素
• 购买流通管道
• 购买频率
• 现有或预定用户

第5章 美国的数位农业市场预测(2017年～2031年)

• 市场规模的分析与预测
  • 金额
• 市场占有率分析与预测
  • 各技术
  • 各类型
  • 各业务
  • 各提供
  • 各地区
  • 市场占有率分析:各企业(金额)(前五名公司和其他 - 2023年)
• 市场地图分析(2023年)
  • 各技术
  • 各类型
  • 各业务
  • 各提供
  • 各地区

第6章 供需分析

第7章 价值链分析

第8章 波特的五力分析

第9章 大环境分析

第10章 宏观经济指标

第11章 价格分析

第12章 报酬率分析

第13章 市场动态

• 推动市场要素
• 市场课题

第14章 市场趋势与发展

第15章 案例研究

第16章 竞争情形

• 市场领导者前五名公司的竞争矩阵
• 企业生态系统分析(Start-Ups vs.中小企业 vs.大规模企业)
• 前五名公司的SWOT分析
• 主要企业前十大企业的形势
  • Deere & Company
  • Trimble Inc.
  • AGCO Corporation
  • Raven Industries, Inc.
  • A.A.A Taranis Visual Ltd.
  • Corteva Agriscience
  • Bayer AG
  • Ag Leader Technology
  • Syngenta Corporation
  • Tule Technologies Inc.

第17章 策略性推荐

第18章 本公司相关资料，免责声明

United States digital agriculture market is projected to witness a CAGR of 17.50% during the forecast period 2024-2031, growing from USD 1.86 billion in 2023 to USD 6.77 billion in 2031. The rapidly changing digital agriculture landscape in the United States results from the growing need for sustainable farming methods, better yield, and smarter farm management. Precision agriculture, the Internet of Things (IoT), data mining and analysis, unmanned aerial vehicles (UAVs), also known as drones, satellite imagery, and software for managing farms, are various technologies that are integrated into digital agriculture to optimize agricultural operations. These technologies provide real-time information on soil health, crops conditions, weather patterns, and equipment performance that allow farmers to make informed decisions based on data which drives a positive effect on their efficiency in operations.

Other reasons for the market growth include the increasing use of precision farming techniques by farmers, government action towards sustainable agriculture, along with the need to produce more in spite of global warming and dwindling agricultural land resources. Also, appliance of machine learning, artificial intelligence, and cloud computing will be driving development of advanced tools and platforms for agriculture.

Deere & Company, Trimble Inc., and Bayer AG, who are among the significant market players, are investing enormously into R&D with an intention to introduce advanced digital solutions. Moreover, farmers are becoming increasingly aware of the advantages of making use of digital agriculture solutions, including reduced costs, better yields, and effective utilization of resources, thereby boosting the growth of the market. Despite that, impediments such as high initial costs, privacy issues related to data and skilled labor to operate these digital devices exist, resulting in slowed growth. In general terms, huge growth is expected in the United States digital agriculture market, hence changing the conventional methods of agriculture into data-centered practices through application of modern technology.

In May 2024, the Inter-American Institute for Cooperation on Agriculture (IICA) officially launched Digital Agriculture Week (DAW), an initiative that brings together the most significant players in the AgTech ecosystem of the Americas. The launch event signaled the start of the Pre-Week of Digital Agriculture, covering pertinent digitalization topics over the course of four days, carrying forward the discussions and initiatives in earlier editions.

Rapid Technological Advancements to Fuel Market Growth

Innovations in technology are greatly reshaping the digital agriculture market in the United States by propelling new ideas and improving farm efficiency. Such changes are most evident in areas such as the Internet of Things (IoT), artificial intelligence (AI), machine learning, big data analytics, and cloud computing. For instance, IoT-enabled sensors are being utilized to gather real-time information on soil moisture levels, nutrient contents, and climatic conditions. This precision aids farmers in making choices around irrigation and fertilizer applications.

With the help of predictive insights generated by AI algorithms and machine learning algorithms, farmers are able to come up with more informed decisions regarding their crops and pest management. In addition, remote sensing technologies such as drones and satellite imaging provide images of high resolution about farmlands, allowing farmers to proactively identify crop stress and diseases. Furthermore, cloud-based farm management software gathers information from various sources creating a holistic understanding of the entire farming process thereby improving decision-making.

In August 2024, FieldView Drive 2.0, a portable plug-and-play gadget was launched by Bayer AG in the United States, that enables farmers to connect, track, and document operations and modeling of agricultural machinery. Farmers' engagement with digital solutions during planting, spraying, and harvesting is improved by the current iteration of the gadget, which offers more processing power, data storage, and connection stability in the field.

Increasing Adoption of Precision Farming Helps in Market Expansion

A significant driver for the growth of the United States digital agriculture market is an increase in demand for precision farming. To optimize field-level management of crops, precision farming utilizes advanced technologies, such as GPS guidance, variable rate technology (VRT), and automated machinery. As such, inputs such as water, fertilizers, and pesticides can be used more accurately, thereby minimizing waste while maximizing yield. This approach minimizes operational costs and enhances crop quality and sustainability through the efficient use of resources. In fact, in May 2022, in collaboration with Agricolus s.r.l., the global brand Yokohama TWS (Trelleborg) launched its new integrated platform to provide digital solutions for smart and sustainable farming. This platform brings together a single set of additional key data that assist farmers in increasing productivity and, at the same time, optimizing farm management via website and mobile application.

An increasing number of American farmers are recognizing the accuracy of modern farming. They are confronted with various problems, such as varied product prices at different places, weather pattern alterations, and stringent environmental conservation laws. Therefore, precision agriculture acts as an instrument that can help them remain profitable while conforming to legislative norms. Furthermore, precision agriculture is more accessible and easier to use due to improved digital technologies and machinery. It will lead to higher precision farming demands that would, in turn, fuel uptake for these technologies in the United States, thereby promoting effective and sustainable agricultural practices.

Robotics Holds a Substantial Market Share

In the United States digital agriculture market, huge robotics share is characterized by increased efficiency, precision, and labor optimization. Agricultural robots or robots are slowly becoming common in all farming processes, from planting to weeding, crop monitoring, and harvesting. Such robot machines have a high degree of accuracy and consistency and help to reduce dependence on manual labor, which is useful in a market that experiences labor shortages and rising wages of workers.

For instance, in November 2023, agritech business SeedSpider Inc. introduced its AI-enhanced robotic weeder, WeedSpider, in North America at the Agricultural Robotics Forum in California. With its ability to detect and eradicate weeds in a wide range of crops, WeedSpider's technology offers commercial vegetable producers a way to overcome their acute labor shortage issues. Additionally, the technology reduces the need for weed killers, increasing the sustainability and consumer health of farming.

Using robots in agriculture encourages sustainable methods of agriculture. The applications of robots in agriculture can aid in the reduction of soil compaction and increase plant health through targeted and accurate application of fertilizers and other inputs. Furthermore, robots are able to work at all hours and under different climatic conditions, thus ensuring uninterrupted production. There is an expected increase in their market share due to increased funding for agricultural robotics and the emergence of smarter and cheaper alternatives, making robotics a major pillar of the United States digital agri-business system.

Future Market Scenario (2024 - 2031F)

New innovative technologies such as artificial intelligence (AI), machine learning, blockchain, robotics, and Internet of Things (IoT) enabled gadgets that offer real-time data analysis, forecasting, and automatic functioning are expected to be embraced speedily.

Advancements in drone technology and satellite imagery will provide high-resolution field monitoring, thus minimizing losses and allowing for early detection of crop diseases and pest infestations.

Key Players Landscape and Outlook

The key players in the United States digital agriculture market are actively innovating to stay ahead of the competition and meet the evolving needs of modern farmers. These companies invest heavily in research and development to enhance their digital agriculture products, such as precision farming tools, farm management software, autonomous machinery, and advanced data analytics platforms. The market includes contributions from emerging startups that provide specialized solutions, such as drone technology, AI-driven analytics, and IoT-based farm monitoring systems, enhancing the technological landscape.

Strategic partnerships and mergers and acquisitions characterize the competitive environment as companies seek to broaden their technological capabilities and expand their market presence. The outlook for the digital agriculture sector is optimistic, with significant opportunities due to the growing demand for more sustainable and efficient farming practices. As digital tools and solutions become increasingly integral to agricultural operations, key players in the market are well-positioned to capitalize on increased investments in agricultural technology and the shift toward data-driven decision-making. This dynamic landscape will lead to continuous innovation and growth in the digital agriculture industry.

In October 2023, Deere & Company partnered with Sweden-based Delaval and Norway-based Yara on digital tools for precision agriculture that promote sustainability. Through the collaborations, farmers can collect data on livestock and fertilizer, enabling them to make more environmentally conscious business decisions.

Table of Contents

1. Project Scope and Definitions

2. Research Methodology

3. Executive Summary

4. Voice of Customer

• 4.1. Demographics (Age/Cohort Analysis - Baby Boomers and Gen X, Millennials, Gen Z; Gender; Income - Low, Mid and High; Geography; Nationality; etc.)
• 4.2. Market Awareness and Product Information
• 4.3. Brand Awareness and Loyalty
• 4.4. Factors Considered in Purchase Decision
  • 4.4.1. Cost
  • 4.4.2. Return on Investment
  • 4.4.3. Ease of Use and Integration
  • 4.4.4. Scalability and Flexibility
  • 4.4.5. Reliability
  • 4.4.6. Accuracy
  • 4.4.7. Support and Training
  • 4.4.8. Compliance with Regulations
  • 4.4.9. Technology Compatibility
  • 4.4.10. Vendor Reputation and Experience
• 4.5. Purchase Channel
• 4.6. Frequency of Purchase
• 4.7. Existing or Intended User

5. United States Digital Agriculture Market Outlook, 2017-2031F

• 5.1. Market Size Analysis & Forecast
  • 5.1.1. By Value
• 5.2. Market Share Analysis & Forecast
  • 5.2.1. By Technology
    • 5.2.1.1. Peripheral Technology
      • 5.2.1.1.1. Apps
      • 5.2.1.1.2. Platforms
    • 5.2.1.2. Core Technology
      • 5.2.1.2.1. Robotics
      • 5.2.1.2.2. Automation
      • 5.2.1.2.3. Drones
      • 5.2.1.2.4. AI/ML
  • 5.2.2. By Type
    • 5.2.2.1. Hardware
      • 5.2.2.1.1. Automation and Control Systems
        • 5.2.2.1.1.1. Drones/UAVs
        • 5.2.2.1.1.2. Irrigation Controllers
        • 5.2.2.1.1.3. GPS/GNSS
        • 5.2.2.1.1.4. Displays
        • 5.2.2.1.1.5. Control Systems
        • 5.2.2.1.1.6. Flow and Application Control Devices
        • 5.2.2.1.1.7. Robotic Hardware
        • 5.2.2.1.1.8. Guidance and Steering
        • 5.2.2.1.1.9. Handheld Mobile Device/Computers
        • 5.2.2.1.1.10. LED Grow Lights
        • 5.2.2.1.1.11. HVAC Systems
        • 5.2.2.1.1.12. Others
      • 5.2.2.1.2. Sensing and Monitoring Devices
        • 5.2.2.1.2.1. Climate Sensors
        • 5.2.2.1.2.2. Soil Sensors
        • 5.2.2.1.2.3. Water Sensors
        • 5.2.2.1.2.4. Temperature and Environment Monitoring Sensors
        • 5.2.2.1.2.5. pH and Dissolved Oxygen Sensors
        • 5.2.2.1.2.6. Sensors for Smart Greenhouse
        • 5.2.2.1.2.7. Sensors for Livestock Monitoring
        • 5.2.2.1.2.8. EC Sensors
        • 5.2.2.1.2.9. Yield Monitors
        • 5.2.2.1.2.10. Camera Systems
        • 5.2.2.1.2.11. RFID and Sensors for Precision Forestry
        • 5.2.2.1.2.12. RFID Tags and Readers for Livestock Monitoring
        • 5.2.2.1.2.13. Others
    • 5.2.2.2. Software
      • 5.2.2.2.1. On-cloud
      • 5.2.2.2.2. On-premises
      • 5.2.2.2.3. AI and Data Analytics
    • 5.2.2.3. Services
      • 5.2.2.3.1. Maintenance and Support Services
      • 5.2.2.3.2. Connectivity Services
      • 5.2.2.3.3. System Integration and Consulting
      • 5.2.2.3.4. Assistant Professional Services
      • 5.2.2.3.5. Data Collection and Analytical Services
  • 5.2.3. By Operation
    • 5.2.3.1. Farming and Feeding
      • 5.2.3.1.1. Precision Agriculture
      • 5.2.3.1.2. Precision Aquaculture
      • 5.2.3.1.3. Precision Forestry
      • 5.2.3.1.4. Precision Animal Rearing and Feeding
      • 5.2.3.1.5. Smart Greenhouse
    • 5.2.3.2. Marketing and Demand Generation
    • 5.2.3.3. Monitoring and Scouting
  • 5.2.4. By Offering
    • 5.2.4.1. Financial Services
    • 5.2.4.2. Advisory Services
    • 5.2.4.3. Digital Procurement
    • 5.2.4.4. Precision Agriculture and Farm Management
    • 5.2.4.5. Quality Management and Traceability
    • 5.2.4.6. Agri E-Commerce
  • 5.2.5. By Region
    • 5.2.5.1. Northeast
    • 5.2.5.2. Midwest
    • 5.2.5.3. West
    • 5.2.5.4. South
  • 5.2.6. By Company Market Share Analysis (Top 5 Companies and Others - By Value, 2023)
• 5.3. Market Map Analysis, 2023
  • 5.3.1. By Technology
  • 5.3.2. By Type
  • 5.3.3. By Operation
  • 5.3.4. By Offering
  • 5.3.5. By Region

All segments will be provided for all regions covered

6. Demand Supply Analysis

7. Value Chain Analysis

8. Porter's Five Forces Analysis

9. PESTLE Analysis

10. Macro-economic Indicators

11. Pricing Analysis

12. Profit Margin Analysis

13. Market Dynamics

• 13.1. Market Drivers
• 13.2. Market Challenges

14. Market Trends and Developments

15. Case Studies

16. Competitive Landscape

• 16.1. Competition Matrix of Top 5 Market Leaders
• 16.2. Company Ecosystem Analysis (Startup v/s SME v/s Large-scale)
• 16.3. SWOT Analysis for Top 5 Players
• 16.4. Key Players Landscape for Top 10 Market Players
  • 16.4.1. Deere & Company
    • 16.4.1.1. Company Details
    • 16.4.1.2. Key Management Personnel
    • 16.4.1.3. Products and Services
    • 16.4.1.4. Financials (As Reported)
    • 16.4.1.5. Key Market Focus and Geographical Presence
    • 16.4.1.6. Recent Developments/Collaborations/Partnerships/Mergers and Acquisition
  • 16.4.2. Trimble Inc.
  • 16.4.3. AGCO Corporation
  • 16.4.4. Raven Industries, Inc.
  • 16.4.5. A.A.A Taranis Visual Ltd.
  • 16.4.6. Corteva Agriscience
  • 16.4.7. Bayer AG
  • 16.4.8. Ag Leader Technology
  • 16.4.9. Syngenta Corporation
  • 16.4.10. Tule Technologies Inc.

Companies mentioned above DO NOT hold any order as per market share and can be changed as per information available during research work.

17. Strategic Recommendations

18. About Us and Disclaimer

List of Tables

• Table 1. Pricing Analysis of Products from Key Players
• Table 2. Competition Matrix of Top 5 Market Leaders
• Table 3. Mergers & Acquisitions/ Joint Ventures (If Applicable)
• Table 4. About Us - Regions and Countries Where We Have Executed Client Projects

List of Figures

• Figure 1. United States Digital Agriculture Market, By Value, In USD Billion, 2017-2031F
• Figure 2. United States Digital Agriculture Market Share (%), By Technology, 2017-2031F
• Figure 3. United States Digital Agriculture Market Share (%), By Type, 2017-2031F
• Figure 4. United States Digital Agriculture Market Share (%), By Operation, 2017-2031F
• Figure 5. United States Digital Agriculture Market Share (%), By Offering, 2017-2031F
• Figure 6. United States Digital Agriculture Market Share (%), By Region, 2017-2031F
• Figure 7. By Technology Map-Market Size (USD Billion) & Growth Rate (%), 2023
• Figure 8. By Type Map-Market Size (USD Billion) & Growth Rate (%), 2023
• Figure 9. By Operation Size Map-Market Size (USD Billion) & Growth Rate (%), 2023
• Figure 10. By Offering Map-Market Size (USD Billion) & Growth Rate (%), 2023
• Figure 11. By Region Map-Market Size (USD Billion) & Growth Rate (%), 2023